From AEOnweller@aol.com Thu Sep  5 13:20:46 1996
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From: AEOnweller@aol.com
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Date: Thu, 5 Sep 1996 13:15:01 -0400
Message-Id: <960905131500_516458319@emout15.mail.aol.com>
To: crose@ece.rutgers.edu
Subject: ghostscript for Macintosh
Status: RO

Hello Dr. Rose,
 
I found a web page containing info and links to ghost-script for the mac:

http://www.glyphic.com/glyphic/projects/macgs.html

the actual program and assosicated file may be downloaded via ftp at:

ftp://ftp.cs.wisc.edu/pub/ghost/aladdin/mac/

The above ftp site contains a readme file that tells what files are needed
for different macs.

Regards,
Allen Onweller

From crose Thu Sep  5 13:24:42 1996
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Date: Thu, 5 Sep 96 13:24:41 EDT
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9609051724.AA07101@MOGLI.rutgers.edu>
To: AEOnweller@aol.com
Subject: Re:  ghostscript for Macintosh
Cc: crose
Status: RO

THANKS MUCHO!  When I get the mailing list together
for 330:501, I'll post the info.  Any idea
about windows PCs....   I'll do the search mysefl
using archie since you've now shown me that an
archive is likely to exist.

thanks again,

Chris Rose

From cripop@eden.rutgers.edu Fri Sep  6 15:07:00 1996
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From: "Dimitrie Popescu" <cripop@eden.rutgers.edu>
Message-Id: <9609061501.ZM29318@er5.rutgers.edu>
Date: Fri, 6 Sep 1996 15:01:32 -0400
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To: crose@ece.rutgers.edu
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Status: RO

Dear dr. Rose,

I have read some problems from the first list that you gave us, and I think
that problem 2 (chapter 1, page 41) has a small error in its text. It says to
prove that conditions (ii)+(iii) of the definition 1 + the assumption that
ro(x,x)>=0 for all x in M, should imply that ro(x,y)>=0 FOR ALL X,Y>=0!!!

Maybe I am wrong, but I think that it should be "for all x,y in M", shouldn't
it? I mean, there is no information that on M is defined an order relation such
as "less than" or "greater than" (as for example the complex numbers). Besides,
we also don't know what does 0 mean in M.

Thanks in advance.

Dimitrie Cristian Popescu

From crose@mogli.rutgers.edu Fri Sep  6 16:11:58 1996
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Date: Fri, 6 Sep 96 15:58:45 EDT
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9609061958.AA01354@mogli>
To: sandhya_seshadri@MENTORG.COM
Subject: Re:  Refresher material
Cc: crose@MOGLI.rutgers.edu
Status: RO

Hi,

Stochastic Processes:  Try the new book Roy Yates is using in 330:541
Linear Algebra:  Strang is the classic... VERY understandable
Probability:  Try David Goodman's and Roy Yate's text

Coordinate Geometry... not sure, sorry.

For the Probability stuff, Roy Yates' email address is ryates@ece.rutgers.edu

Cheers,

Chris Rose

From crose@mogli.rutgers.edu Fri Sep  6 16:12:00 1996
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Date: Fri, 6 Sep 96 16:02:43 EDT
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9609062002.AA01363@mogli>
To: cripop@eden.rutgers.edu
Subject: problem
Cc: crose@MOGLI.rutgers.edu
Status: RO


Hi Dimitrie,

I'll take a peek at it.  In the mean time, please exercise the
TA on this one (if you've not already).  He needs to
get up to speed.  If he can't answer your question (let me
know soon) I'll give you the solution.  But I'm going
to purposely let you struggle with it for the moment.  You could
be right, you could be wrong!  :)  That's the essence of graduate
study and the researcher that you'll develop into.  Problems
are EASY when you know they have a solution.  It gets much
harder when you're not even sure that the problem is stated correctly
(as when you start framing research problems).

Hope I didn't scare you!  Don't worry, most problems I'll
give WILL have solutions.

CHeers,

Chris Rose

From crose@mogli.rutgers.edu Fri Sep  6 16:12:02 1996
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Date: Fri, 6 Sep 96 16:14:48 EDT
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9609062014.AA01401@mogli>
To: cripop@eden.rutgers.edu
Subject: mercy
Cc: crose@MOGLI.rutgers.edu
Status: RO


Sort of mercy anyway...

Is the space M defined in problem 2 to be something in particular.
Specifically, what does it mean (if anything) for x element of M
to be "greater than zero"

Think about that and send me a response (please exercise
the TA anyway though! :)

Cheers,

Chris Rose

From crose@mogli.rutgers.edu Mon Sep  9 15:42:08 1996
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Date: Mon, 9 Sep 96 15:27:37 EDT
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9609091927.AA03161@mogli>
To: ece501
Subject: update2
Cc: crose@MOGLI.rutgers.edu
Status: RO


Hi Folks,

If you've received this message then you are on the ece501@mogli.rutgers.edu
mailing list. The student count stands at 17 right now.  This update was composed
at about 3pm on Monday 9/9/96.  The next update will be before 3pm on wednesday 
9/11/96.  And another on friday at about the same time.  I'd like to see all
approximately 40 students on the list.  Otherwise, important announcements
could be missed by some students (with possibly perilous results).

Cheers,

Chris Rose

From ralf@bugeyes.rutgers.edu Tue Sep 10 15:52:54 1996
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From: "Ricardo Losada" <ralf@bugeyes.rutgers.edu>
Message-Id: <9609101243.ZM3541@bugeyes.rutgers.edu>
Date: Tue, 10 Sep 1996 12:43:49 -0700
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To: ece501@mogli.rutgers.edu
Subject: TA office hours
Mime-Version: 1.0
Content-Type: text/plain; charset=us-ascii
Status: RO

Hey people,
the following are the TA office hours:
Tu: 7:30 - 8:30 pm.
Th: by appointment (send me email)

My info once again:
Ricardo Losada
ralf@ece
office EE 224
Ph: 5-4996

From xxxxx@eden.rutgers.edu Tue Sep 10 15:23:15 1996
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Date: Tue, 10 Sep 96 15:16:59 EDT
From: Mr./Ms. X <xxxxx@eden.rutgers.edu>
To: crose@ece.rutgers.edu
Subject: question
Message-Id: <CMM-RU.1.5.842383019.xxxxx@er5.rutgers.edu>
Status: RO

Prof. Rose,
	I am having difficulty following the test, and at times your
classroom notes, since I do not understand teh meaning of many of the symbols
 used to denote the relationship of one set of umbers to another and so
forth.  


From crose Tue Sep 10 15:58:53 1996
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Date: Tue, 10 Sep 96 15:58:51 EDT
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9609101958.AA13063@MOGLI.rutgers.edu>
To: xxxxx@eden.rutgers.edu
Subject: Re:  question
Cc: crose@MOGLI.rutgers.edu
Status: RO

Hi,

Not sure what you mean about following the "test".

Do you mean the tests of the email group for the course?

As for the text (did you mean te"x"t above... then it makes
sense) and notes, well, that's what office hours are for!

Please come by and either the TA or I will be happy to discuss.
You should try the TA first (tonite would be good) and then
me. I suggest this method since I've seen this stuff
quite a bit before and the further you are away from learning
it, the harder it is sometimes to see points of student difficulty.

If Ricardo can't answer your questions sufficiently well, then
come see me and we can thrash it out between us.

Looking forward to hearing from you.

Cheers,

Chris Rose

From ralf@ece.rutgers.edu Tue Sep 10 19:57:48 1996
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Date: Tue, 10 Sep 1996 19:47:42 -0400
From: Ricardo Losada <ralf@ece.rutgers.edu>
Message-Id: <199609102347.TAA06377@ece.rutgers.edu>
To: ece501@mogli.rutgers.edu
Subject: TA hours
Content-Length: 210
Status: RO

Just to make it super-clear (since there was an email
that didn't quite go through).
(Or something like that).

The final office hours are:
Tu: 7:30 - 8:30 pm.
Thu: by appointment (via email)

thanks, Ricardo.

From crose Thu Sep 12 20:21:33 1996
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Date: Thu, 12 Sep 96 20:18:29 EDT
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9609130018.AA17481@MOGLI.rutgers.edu>
To: ece501
Subject: update and further explanation
Status: RO


Hi Folks,

This is the final update on the mailing list and my first officical
posting to the group as well.

Tonight (Thur 9/12/96) we proved that a contraction mapping has the
property that a limit point exists, is unique and is obtained by
iterating the mapping from ANY starting point.

I'd like to clarify part c) of the proof.  In particular, in part a)
we showed that all the iterative sequences starting from any point are
cauchy and convergent (part b sealed up the convergent part).

In part c) we'd like to know that a limit point exists.  That is we
need to show that there is a point x* such that A(x*) = x*.  (NOT
ASSUME THAT SUCH A POINT EXISTS AS I CONFUSEDLY/FATIQUEDLY STATED
AFTER CLASS)

So, the first step is to remember that the iterative sequence is
Cauchy and therefore x_n -> x* for some x* (i.e., we showed that the
sequence was convergent in part a).  NOW since the mapping is BOUNDED
(a contraction mapping is a subset of bounded mappings) we must have
if x_n->x* then A(x_n) -> A(x*) (because a bounded mapping is
continuous).  The final step is to write down the iterative map
x_(n+1) = A(x_n) and take the limit of each side using the above
result to obtain x*=A(x*).

So, if the mapping is a CONTRACTION mapping, there exists at least
one point x* such that A(x*) = x*.  

IN ADDITION, this point x* is UNIQUE.  (the last part of the proof,
part d in the book).  That was relatively clear, so we'll forego it
here.


Cheers All,

Chris Rose

PS: GO RUTGERS!  This is first time I've been able to have school
spirit for sports.  The teams at my undergrad/grad school were not
that good alas.  Though the tiddlywinks squad was nationally ranked (I
kid you not!)

From crose Thu Sep 12 20:39:08 1996
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Date: Thu, 12 Sep 96 20:35:32 EDT
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9609130035.AA17549@MOGLI.rutgers.edu>
To: ece501
Subject: homework
Status: RO


You should do problem set 1.  If you'd like to have your
work checked, you must hand it in by 1 week from today (thursday 9/19).
Don't cheat yourself of true understanding by peeking at the solutions.
Papers should be given to Ricardo some time before class
on 9/19.

Cheers,

Chris Rose

From ykogan@eden.rutgers.edu Sat Sep 14 13:12:33 1996
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From: "Yelenq Kogan" <ykogan@eden.rutgers.edu>
Message-Id: <9609141303.ZM9147@er5.rutgers.edu>
Date: Sat, 14 Sep 1996 13:03:48 -0400
X-Mailer: Z-Mail Lite (3.2.0 5jul94)
To: ece501@MOGLI.rutgers.edu
Subject: another postcript URL @ latex2html URL
Mime-Version: 1.0
Content-Type: text/plain; charset=us-ascii
Status: RO

Dear Dr.Rose,

The following URL address has the newest version of ghostscript program for PC:
http://www.cs.wisc.edu/~ghost/index.html
i guess this is the same place which Allen Onweller recommended for a Mac.

There is also a site with latex-to-html program:
http://cbl.leads.ac.uk/nikos/tex2html/doc/latex2html/latex2html.html
it has a documentation in postscript there.

Regards,
Lena Kogan


From crose@mogli.rutgers.edu Sat Sep 14 16:11:53 1996
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Full-Name: Christopher Rose
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	id AA08551; Sat, 14 Sep 96 14:29:27 EDT
Date: Sat, 14 Sep 96 14:29:27 EDT
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9609141829.AA08551@mogli>
To: ykogan@eden.rutgers.edu
Subject: Re:  another postcript URL @ latex2html URL
Cc: crose@MOGLI.rutgers.edu
Status: RO

LATEX TO HTML!!!!!!!??????

Thanks! I'll take a peek!  If it works you will have made course
material lot easier to read over the net.  I don't really like the PC
version of ghostview since in order to get decent resolution you seem
to need the picture way to big to fit on the screen.  However,
it's the only way I know of that PC users can read
the problem sets solutions and such.

Cheers,

Chris Rose

From tcarvell@avionics.itt.com Mon Sep 16 13:51:33 1996
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From: "Tom Carvelli" <tcarvell@avionics.itt.com>
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To: ece501@mogli.rutgers.edu
Return-Receipt-To: tcarvell@avionics.itt.com
Subject: Last Thursday's Lecture Topics
Status: RO

     What sections of chapter one did Prof Rose cover in last Thursday's 
     class?


From cripop@ece.rutgers.edu Tue Sep 17 15:35:07 1996
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Date: Tue, 17 Sep 1996 15:23:59 -0400
From: Dimitrie Popescu <cripop@ece.rutgers.edu>
Message-Id: <199609171923.PAA10072@ece.rutgers.edu>
To: ece501@mogli.rutgers.edu
Subject: Where is the error?
Content-Length: 633
Status: RO


Let us consider the mapping A(x)=x-[x] (where [x] denotes the whole part of
the real no. x). The domain of A is R, and the range is (obviously) [0,1).
If we consider the usual distance over R, i.e. the absolute value, we have
that for all x,y elements of R |A(x)-A(y)|<=|x-y| (it is simple to see that
since both A(x) and A(y) are in [0,1) the distance between them will always
be <1, which is always <= |x-y|. That implies that A(x) is a bounded mapping.
But, as one can easily observe from the graphical representation of A(x),
this is not continuos. Then how about with boundedness => continuity? Or,
where am I wrong?

Dimitrie

From crose Tue Sep 17 17:19:06 1996
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Date: Tue, 17 Sep 96 17:19:05 EDT
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9609172119.AA02976@MOGLI.rutgers.edu>
To: ece501
Subject: Dimitrie's problem
Cc: crose@MOGLI.rutgers.edu
Status: RO


Hi Folks,  Dimitrie Popescu posed a problem to the group.
Please think about it and post some answers.  Good
for the soul.  It was a good question.

The mapping is NOT continuous (sketch it out).
So maybe you need to examine boundedness more closely, eh?


Great question by the way, Dimitrie.  Thanks!

Cheers

From crose@MOGLI.rutgers.edu Tue Sep 17 22:20:23 1996
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	id AA01320; Tue, 17 Sep 96 22:08:24 EDT
Date: Tue, 17 Sep 96 22:08:24 EDT
From: crose@MOGLI.rutgers.edu (Christopher Rose)
Message-Id: <9609180208.AA01320@qbeast.rutgers.edu>
To: ece501@mogli.rutgers.edu
Subject: GIF!
Status: RO


Hi Folks,

			IMPORTANT NOTE

If you wish to have PS1 looked over by Ricardo, you'll
have to submit it in class on thursday.  This procedure (submission
one week after I say "go do the problem set") is in place to avoid
exam time crunches which Ricardo cannot service your request in a timely
fashion owing to volume and the fact that we share him with the
UG linear systems course.


			ENHANCEMENT

Thanks to a suggestion by Allen Onweller we now have problem sets and
solutions in GIF format.  This should be directly readable by your
browser!  So, if you could not bear to load a ghostscript viewer onto
you PC, now you don't have to!

I ran out of steam tonite trying to get the stuff working so the exams
and solutions are not yet on there.  The interface is also a little
awkward since I simply paste gif files one after the other and don't
link the image files.

Cheers All,

Chris Rose

From cripop@ece.rutgers.edu Thu Sep 19 20:31:17 1996
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Date: Thu, 19 Sep 1996 20:16:12 -0400
From: Dimitrie Popescu <cripop@ece.rutgers.edu>
Message-Id: <199609200016.UAA23723@ece.rutgers.edu>
To: ece501@mogli.rutgers.edu
Subject: the error
Content-Length: 464
Status: RO


With the help of prof. Rose I discovered the error I was making.

The mapping that I considered is not bounded. Let's take for example
x=k, an integer, and y=k-eps, where eps>0 is very small. While the distance
|x-y|=eps and is very small, and goes to 0 as eps goes to 0, the distance 
|A(x)-A(y)|>|x-y| and goes to 1 as eps goes to 0. So, the mapping is not
bounded.

The things I've just written are obviously if you look at the plot of this
mapping

Dimitrie


From crose Thu Sep 19 21:00:10 1996
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Date: Thu, 19 Sep 96 21:00:09 EDT
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9609200100.AA07798@MOGLI.rutgers.edu>
To: ece501
Subject: where are we going
Cc: crose
Status: RO


Hi Folks,

I'd like to open up a discussion of how to run lectures.  My
preferences is to engage you guys in the proof solving, not assume
you've read the book in detail (even if you have) and seek out or at
least mention the possible ways proofs can go awry.  This makes for
critical thinking: doing is learning as opposed to listening/watching
is learning.

Unfortunately, if many folks are struggling to follow what's going on
(I'd say from my vantage point that at least 1/2 the class is pretty
uncomfortable) it may be hard to engage in the explorative process.

So, here's a question.  What would you prefer for this initial math
portion of the course?

1) I can stand up and give canned lectures if you need it, or

2) we can try harder to go back and forth with you folks often GUIDING
what's going on rather than me simply leading.  That did not work
tonite since too many folks were completely lost.


On a related note, it was really funny when Dirk read from the book
directly, (though Dirk, I'm not sure you realized at the time why it
was funny).  Certainly the (usually correct) proof is in the book (and
in my notes).  But my simply writing down the proof and commenting as
I go does not accomplish the end I have in mind.  If everyone were VERY
comfortable we could derive as we went and I'd not use the notes
at all!

So, let me know what you think.  I'm a little worried looking into
your eyes that if we tested tomorrow we'd be in dire straights.  I'd
rather not wait until the midterm to find out that we have major
problems.

Cheers as always,

Chris Rose

From crose Thu Sep 19 21:06:06 1996
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Date: Thu, 19 Sep 96 21:06:03 EDT
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9609200106.AA07805@MOGLI.rutgers.edu>
To: cripop@ece.rutgers.edu, ece501@mogli.rutgers.edu
Subject: Re:  the error
Cc: crose
Status: RO

Thanks Dimitrie,

It's even easier to see (I realized later) if you
use x=k and y=k-1+e where e is very close to (but
less than) 1.  You end up with the distance between 
x and y being |1-e| but the distance between A(x) and A(y)
being e.   Therefore, there's no value of constant Q
which will have

|A(x)-A(y)| = e  <= Q|1-e| 

because |1-e| gets arbitrariliy close to zero wherease
e stays near 1.

Tricky question, eh?

Cheers, and thanks for the formal solution Dimitrie.

Chris Rose


From crose@mogli.rutgers.edu Fri Sep 20 18:22:55 1996
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Full-Name: Christopher Rose
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	id AA12748; Fri, 20 Sep 96 16:41:29 EDT
Date: Fri, 20 Sep 96 16:41:29 EDT
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9609202041.AA12748@mogli>
To: ece501@MOGLI.rutgers.edu
Status: RO

I GOT SOME MAIL!!!!  I'm reposting the comments anonymously even
though both students wanted me to include their names.  I just feel
it'll be easier for some folks to write if they know I'll keep their
identities out of it.



			STUDENT (1) WRITES:

Prof,

I'm glad to hear that I am not the only one having problems in your course. Your
suggestion about involing the class is a definite plus. One problem I have is 
that of  relating this material to "real" things. I thought you were about to 
address this problem when you put on the board a circuit diagram and you were
about to use what we learned to analize it. I was disappointed when you didn't
because you did not have the time to go into it. Now I have an important 
question. Whats more important, following a schedule and doing everything on
it (maybe sacrificing what one understands), or going off on a tangent as you 
were about to and having the class actually understand something?

I don't mean to be a pain in the ass, but I really enjoy a professor going off
on tangents to explain real life applications of what we learn. Isn't that the
ultimate scope of learning something?

Please comment on this matter.


			STUDENT (2) WRITES:

Hi,

In response to your email on how to run lectures . . .

I really admired the fact that you allowed us to think about solving the 
proof.  Often professors don't have time to allow students to go though the 
problem solving so they  give canned lecture. I think it's more interesting 
when I'm given the opportunity to figure things out before simply given the 
answer.

Although some learn more by seeing or hearing, I learn more from actually 
practicing something. I don't quite possess the level of analytical thinking 
required to solve proofs very well yet. I don't think I can learn that way of 
thinking unless I practiced it. The most effective professors I've had have not 
only taught me the subject matter, but have taught me how to think about the 
subject matter so that I can solve new kinds of problems.

I really enjoyed this class so far and I hope the format will not change.  
Although things may not be obvious to me right away, I am learning to think in 
a new way.


			THE PROF IN QUESTION RESPONDS!

HI (1)

Thanks for your response.  I DO like going off on tangents.  The
problem right now is that we need to get this mechanical stuff out of
the way.  However, I think I will go off on a few more tangents.  The
reason I did not, is that my quick scan of the class (excluding your
face, though) was to move on and not solve a circuit (though I wanted
to).

In any case, as we move out of this math and more into systems stuff,
there'll be more opportunities for diversion.  So, unfortunately for right
now we've got to trudge.  Maybe I'll just survey the results and move
along that way (rather than proving EVERYTHING).

HI (2)

I'd like to continue challenging you to do the proofs as we go, or at
least think about where they come from.  I also agree that the doing
is important.  Homework plays some role there but in-class examples
also play an important role.  I'll do my best to do more of these as
the term wears on.  As I said above for the math stuff though, we're
almost done with it so I'm going to finish plunging through it so we
can get to the more familiar and interesting (from the systems
standpoint) stuff.



ANOTHER NOTE:

I'd particularly urge you (and everyone) to do the last problem on the
first problem set carefully.  The reason is that the mapping
considered there was one of the first seen to be chaotic.  The
researcher was looking for a contraction and found that sometimes it
was and sometimes it was not.  And often when it was not, it displayed
really strange behavior in that changing the starting point even the
tiniest amount (and by tiny I mean ANY nonzero amount) drastically
changed the system trajectory.

This simply does not happen with most systems.  We often rely on the
seeming fact that small enough perturbations produce small changes.

The analogy is the butterflyl flapping its wings in Peking which
eventually causes the birth of a hurricane off the coast of Africa
(REALLY SMALL CHANGES IN INITIAL CONDITIONS!).

These sorts of problems where you want to know how the system behaves
over time are where all the contraction/measure math come in.

Well, I've blathered enough for now.

Cheers to you both and thanks for the comments!

Chris Rose

From crose Sun Sep 22 18:28:41 1996
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Date: Sun, 22 Sep 96 18:26:06 EDT
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9609222226.AA10519@MOGLI.rutgers.edu>
To: ece501
Subject: another comment
Status: RO


Hi FOlks,

Yet another student responsds!

*************************
Prof. Rose,
        Hello!
        As some of us have already learned (ece452), you're lectures
are paced at a pretty tremendous rate. (content and activity !) The
glazed eyes you might see in lecture (at least my own) are a
combination of a few things. These include the effects of being exposed to
some high-level abstractness.
	I don't think you should change the format of your lectures
much. While I can often follow the material that is presented, it's
often difficult to formulate any opinions/questions until I've really
delved into it. Reading ahead helps, but that isn't always what happens.
	For me (the patterns suggest) lectures are an introduction
into some of the concepts of a course. I try to follow the direction
that the instructor is pointing, and pick up hints on problem
solving...changing my way of thinking about a given topic. Not until
I've sat down and beat on the concepts (I literally have 3 complete
set of notes going into an exam, class notes, text summaries including
definitions/theorems/proofs/examples written down (!) and a synopsis
of the two previous...{in this case my cheat sheet} ) and completed
problems can I feel _somewhat_ comfortable. I takes years to assimilate
these ideas. (at least for me)
	So actually, I'm not a proponent of going off on a lot of
tangents. There's alot of interesting topics I need introducing to and
a tight schedule. (I've been hearing about "wavelet transforms" for a
few years now and would enjoy a 1/2 lecture or so...time permitting of
course). Personally, I'll try to read up more. 
	Confusion and fear are great for motivation.
Thanks,




From MRX@caip.rutgers.edu Wed Sep 25 16:22:05 1996
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From: Mr X X <MRX@caip.rutgers.edu>
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Date: Wed, 25 Sep 1996 16:13:22 -0400
Message-Id: <199609252013.QAA10900@telestar.rutgers.edu>
To: crose@mogli.rutgers.edu
X-Sun-Charset: US-ASCII
Status: RO


In the last lecture we heared a lot about evectors.  You can take
them, arange as column in a matrix, check if you can find a different
eigenvector for each evalue (in the generalization of the
diagonalization thm) and so on. But which evector, since for each
distinct evalue you have an infinity of evectors associated?  In fact
all this evectors differ only by a constant, so all the properties
could work for no matter evector you pick.  They are linearly
independent no matter which evect you pick from a class associated
with a distinct evalue.  Usually you take the evect with norm 1 from
each class (so that you can construct an othonormal basis).

I make this comment because I found in my notes: "a unique evect
for each eval" (generalization of the diagonalization thm), which I think
should be " a different evector for each eval".
(I am not sure that this is not my error, but the comment is valid anyway).

Cheers,
	 George


*************prof's note*****************
I agree.  If I said unique e-vect for each e-val
then I mis-spoke
*****************************************

From crose Thu Sep 26 21:07:55 1996
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Date: Thu, 26 Sep 96 20:58:33 EDT
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9609270058.AA16331@MOGLI.rutgers.edu>
To: ece501
Subject: extra problem set, due tuesday
Status: RO

Hi Folks,

These problems are worth points if you're on a grade border at the end of
it all.  Please submit them to me ELECTRONICALLY via email by Saturday
9/28/96 at 11:59PM.

1) You are given a tri-diagonal matrix.  Its main diagonal elements
are a, its upper diagonal elements are b and the lower diagonal
elements are c.  b,c = 0.2 and a=0.1

for example:

a b 0 0 0 0 0 0 c
c a b 0 0 0 0 0 0
0 c a b 0 0 0 0 0
0 0 c a b 0 0 0 0
0 0 0 c a b 0 0 0  = A
0 0 0 0 c a b 0 0
0 0 0 0 0 c a b 0 
0 0 0 0 0 0 c a b 
b 0 0 0 0 0 0 c a

You are given the iterative mapping x(n+1) = Ax(n).  Is the mapping
a contraction?



2) 

a) A demon(ess) is put in a room with N chairs and seated initially in
a single chair.  Being demonic it can't just sit in one chair at a
time.  So with the first tick of the celestial clock, it splits itself
into three equal weight demons.  One remains where the original demon
was seated and the other two move to chairs to the left and right of
the first chair.  If there's no chair to the left, the left-going
demon stays where it was.  Likewise for the right-going demon.

But demons, even smaller ones, are NEVER happy or satisfied so each
smaller demon does the same splitting routine with the next tick of
the celestial clock.  This process is followed by each "sub-demon" for
each tick of the celestial clock for all eternity.

If the original demon has weight one unit.  Please derive a matrix
difference equation for the total weight of demons in each chair.
That is, write your equation in terms of an N-vector x(n) where x_i(n)
is the weight of demons sitting in chair i at tick n and x(n+1).

Identify (if any) the fixed points of this mapping.  You can assume
x is any real N-vector for this question.

Is this mapping a contraction?

b) Now the chairs are arranged in a circle and the demon does not
split itself but always moves one chair to the right. Write down a
difference equation in matrix form for this system.

What is the domain space of this mapping?
What is the range space of the mapping given the domain space?
Identify (if any) the fixed points of this mapping.
Is this mapping a contraction?

3) What is A^N for the matrix of problem 2b?

4) What is e^(At) for the matrix of problem 2b with N=2?




Happy solving!


From ralf@ece.rutgers.edu Mon Oct  7 16:15:11 1996
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Date: Mon, 7 Oct 1996 15:48:47 -0400
From: Ricardo Losada <ralf@ece.rutgers.edu>
Message-Id: <199610071948.PAA22712@ece.rutgers.edu>
To: ece501@mogli.rutgers.edu
Content-Length: 185
Status: RO

Hey, this is the TA,

for Jordan form you may also want to check out the appendix
of the book Modern Signals and Systems by Kwakernaak and Sivan.
It's the simplest I've seen.

Ricardo.

From ANALUCI@aol.com Tue Oct  8 11:57:07 1996
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From: ANALUCI@aol.com
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Date: Tue, 8 Oct 1996 11:45:42 -0400
Message-Id: <961008114542_205042671@emout16.mail.aol.com>
To: crose@ece.rutgers.edu
Subject: Solution
Status: RO

Prof. Rose,

In PS2 Solution, Problem 3, we have:
For A  => D = [-2,4]
For A'  => D = [-3,5]
So, if we want to combine the two we obtain lambda in 
[-2,4] and NOT [-3,4] (as it is in the solution).
Am I right?

Ana Lucia. 

From crose Tue Oct  8 14:13:30 1996
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Date: Tue, 8 Oct 96 14:06:11 EDT
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9610081806.AA12352@MOGLI.rutgers.edu>
To: ANALUCI@aol.com
Subject: Re:  Solution
Cc: ece501
Status: RO

Yup, You're correct.  It should be the intersection of the two regions.
Will post the correction to the web..

Cheers,

Chris Rose

From crose Thu Oct 10 20:41:46 1996
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Date: Thu, 10 Oct 96 20:36:44 EDT
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9610110036.AA15633@MOGLI.rutgers.edu>
To: ece501
Subject: extra points (for real!)
Status: RO

Hi Folks,

Here's a problem.  The first 10 solutions I receive get 4 extra points
on their midterm exam. The next 10 get 3, the next 10 get 2 and the
remaining get 1. If you don't hand it in you get ZERO!  :)

Also, no partial credit.  You either get it all correct or all wrong!
:)

As for class... Unless I get strong opposition, I think I'm going to
do a little more lecturing and less deriving with you.  Otherwise,
we'll get seriously behind... so much to do and so little time...

			PROBLEM

PLEASE PROVIDE A PARTIAL FRACTIONS EXPANSION (IF POSSIBLE) FOR THE
FOLLOWING LAPLACE TRANSFORMS AND THE ASSOCIATED TIME DOMAIN SIGNAL
(assumed causal).  If you can't find a partial fraction expansion, you
must state why.  Regardless, you must still provide a time signal

1)  (s^2 + 3s - 1)/((s+2)(s+1)(s+3)(s+4))

2)  1/(s^2+2s+1)

3)  s^2/(s^2+3s+2)

Please post your answers TO ME (not to the group).  I will award
credit on the spot!  (ALL OR NONE THOUGH!)

Cheers,

Chris Rose

From crose Thu Oct 10 20:37:53 1996
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Date: Thu, 10 Oct 96 20:37:53 EDT
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9610110037.AA15642@MOGLI.rutgers.edu>
To: ece501
Subject: also
Cc: crose@MOGLI.rutgers.edu
Status: RO


Cutoff date is Tuesday 10/15 (for submittnig the problems).

You can also submit via hardcopy/fax if you wish
(908) 445-2820

Cheers,

CHris Rose

From crose Thu Oct 10 21:10:36 1996
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From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9610110105.AA15743@MOGLI.rutgers.edu>
To: ece501
Subject: java wanted
Cc: winstaff@winlab
Status: RO


WANTED:  someone who knows how to write
JAVA scripts.  I want to animate a couple
of lecture points with dancing equations
but don't know how.

Cheers,

Chris Rose

From crose@MOGLI Thu Oct 10 21:13:32 1996
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From: Christopher Rose <crose@MOGLI>
Message-Id: <9610110105.AA15743@MOGLI.rutgers.edu>
To: ece501@MOGLI
Subject: java wanted
Cc: winstaff@winlab.rutgers.edu
Status: RO


WANTED:  someone who knows how to write
JAVA scripts.  I want to animate a couple
of lecture points with dancing equations
but don't know how.

Cheers,

Chris Rose

From crose@mogli.rutgers.edu Wed Oct 16 13:42:40 1996
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Date: Wed, 16 Oct 96 13:28:32 EDT
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9610161728.AA05454@mogli>
To: ece501@MOGLI.rutgers.edu
Subject: question
Cc: crose@MOGLI.rutgers.edu
Status: RO


Message 12:
>From ANALUCI@aol.com Wed Oct 16 11:09:38 1996
From: ANALUCI@aol.com
Date: Wed, 16 Oct 1996 10:56:51 -0400
To: crose@ece.rutgers.edu
Subject: Question.

Hello Prof Rose.

In PS3, Problem 2, we have to find the fundamental matrix
for a differential equation. 

An initial condition x(1) = ( 1,1 ) is given. 

What I understand is that the fundamental matrix would be the same, 
no matter which is the initial condition.This matrix is constructed with
initial conditions equal to the basis vectors (0,...0,1,0,...,0).
AM I RIGHT ?

Thank you.
Ana.


To: ANALUCI@aol.com
Subject: Re:  Question.
 
It's a problem of nomenclature.  The book uses the term "fundamental matrix"
for what is usually only called the transition matrix.  Basically, ignore
and translate fundamental to transition wherever you see it in the book.

HOWEVER, in the literature, the two terms mean different things.

Cheers,

Chris Rose

PS:  I'm not really answering your question about what a fundamental
matrix actually is because we're not going to use it in this course
Of course, you might check other linear systems books for a definition
(Kailath for example, or Chen or just about any other that treats
statespace should have it).

From alap@liman.Rutgers.EDU Wed Oct 16 13:57:38 1996
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Date: Wed, 16 Oct 1996 13:29:07 -0400
From: alap@liman.Rutgers.EDU (Ana Lucia Pinheiro)
Message-Id: <199610161729.NAA23267@random.rutgers.edu>
Subject: again
To: crose@ece.rutgers.edu
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Status: RO

Prof Rose,

I guess you did not understand my question. 

The question is not "what is" a fundamental matrix or a 
transition matrix, but "how" to calculate it. 
What I mean is that it doesn't matter the initial condition that is given
in this problem (in this case x(1) = (1,1) ).
If the initial condition was diferent, the transition (or fundamental) 
matrix would still be the same.(?) 
The transition matrix does not depend on the initial condition of a problem.(?)
Am I right ??

Thanks
Ana.

------------- Begin Forwarded Message -------------

>From crose@mogli Wed Oct 16 13:29:30 1996
Date: Wed, 16 Oct 96 13:28:32 EDT
From: crose@mogli (Christopher Rose)
To: ece501@MOGLI
Subject: question
Cc: crose@MOGLI


Message 12:
>From ANALUCI@aol.com Wed Oct 16 11:09:38 1996
From: ANALUCI@aol.com
Date: Wed, 16 Oct 1996 10:56:51 -0400
To: crose@ece.rutgers.edu
Subject: Question.

Hello Prof Rose.

In PS3, Problem 2, we have to find the fundamental matrix
for a differential equation. 

An initial condition x(1) = ( 1,1 ) is given. 

What I understand is that the fundamental matrix would be the same, 
no matter which is the initial condition.This matrix is constructed with
initial conditions equal to the basis vectors (0,...0,1,0,...,0).
AM I RIGHT ?

Thank you.
Ana.


To: ANALUCI@aol.com
Subject: Re:  Question.
 
It's a problem of nomenclature.  The book uses the term "fundamental matrix"
for what is usually only called the transition matrix.  Basically, ignore
and translate fundamental to transition wherever you see it in the book.

HOWEVER, in the literature, the two terms mean different things.

Cheers,

Chris Rose

PS:  I'm not really answering your question about what a fundamental
matrix actually is because we're not going to use it in this course
Of course, you might check other linear systems books for a definition
(Kailath for example, or Chen or just about any other that treats
statespace should have it).
------------- End Forwarded Message -------------


From crose Wed Oct 16 15:04:16 1996
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Date: Wed, 16 Oct 96 15:04:13 EDT
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9610161904.AA22454@MOGLI.rutgers.edu>
To: alap@liman.Rutgers.EDU
Subject: Re:  again
Cc: crose@MOGLI.rutgers.edu
Status: RO

Hi Ana,

The transition matrix does depend on the initial time but not
on the initial state.  The issue in that problem was that time starts
from t=1.  For example, does the differential equation in that problem
have a unique solution everywhere?

Cheers,

Chris Rose


From crose Sat Oct 19 12:13:56 1996
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From: Christopher Rose <crose>
Full-Name: Christopher Rose
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To: ece501
Status: RO




Hi Folks,

Here are a pair of colloquies which I think illustrate my philosophy
about the course and answers a couple of questions (which might be of interest
before and exam :) about norms and fixed points versus limit points.

				QUESTION 1:

On Fri, 11 Oct 1996, Christopher Rose wrote:

> 
> Hi Folks,
> 
> Your solutions are identical, down to the typesetting.
> 
> Care to explain?
> 
> For future reference, I'd prefer you not collaborate on problems I
> post, unless specifically asked to do so.  That way, nobody can kid
> themselves about what they know.
> 
> A group is always smarter than an individual and working in groups is
> great.  But unfortunately, when the exam comes, you'll have to stand
> on your own.
> 
> For this exercise, however, since it looks from my vantage point that
> you innocently collaborated, please let me know who did what so I can
> assign point fractions appropriately (assuming the solutions are completely
> correct).
> 
> 
> Cheers,
> 
> Chris Rose
> 
Prefessor Rose,

We three guys did your problems seperately. You can trust me. I think
these problems are very simple. But we actually verified our results
together to make it perfect. I am unaware of its improperty. Just have a
feeling of being underestimated. You can make your decision
whether assign any point to me. But I should say I made them out.

I am confused why I haven't received any answer to my questions? Just
because I posted them to all of the students last time for your extra
problems? Maybe you didn't see it or consider them stupid?


			RESPONSE 1:

Dear Student,

I'm not exactly sure about the tone of your letter.  Are you upset for
some reason?  If so, I'm not sure why.

In any case, the receipt of identical solutions, including the way
they were typed, from three separate people seems to indicate that
they were prepared together.  Since I would have preferred for
students to prepare them separately, including checking the answers, I
voiced my concern to you.  This is not a major issue.  I'm not
accusing you of cheating or any other impropriety.  However, if you
did collaborate I can't simply assign full credit, even if the answers
are completely correct.  That would be unfair to those who did not
collaborate.  There is no "estimation" of your ability involved.

As for your not receiving comments to questions, I'm not sure to which
ones you refer.  The TA has just completed grading the previous extra
problem submission and will be returning grades/comments shortly.

For this most recent extra set dealing with Laplace transforms,
grades will be returned probably by Thursday next since I have to
allow everyone time to submit their solutions (tuesday is the
deadline).

And finally, even if your posted solutions were completely incorrect,
only a poor instructor would consider them "stupid".  My goal is to
make sure you understand the material to the best of your ability.
Supposedly "stupid" solutions offer a rare window on sources of
confusion for not just the student who prepared them but for others as
well.  In short, there are no "stupid" solutions or questions.

Cheers,

Chris Rose

*********************************************


QUESTION 2:

Dear Prof.,

You said in last class that the fixed pt. is different from the limit pt.
I'm confusing about it because, according to the definition, fixed pt. is
a state which will not change in the future time. May I think like
this"when time goes infinite, the fixed point is just the limit point".
Could you give me an example in which a fixed point is not a limit point?
I think the fixed point is the same as the limit point. Your answers to
the problem set #1( problem 7 and 8)made these two concepts same too.

In problem 1 of last midterm exam, why you chose //A//2 as the reference
to decide if the mapping is contraction? Can I choose //A//1 or
//A//infinit? In two dimension matrix, is //A//2 the minimum norm of all?

Please give me prompt answer!  

			RESPONSE 2:

Dear Student,

Please consider a pendulum using a rigid rod.  Identify the fixed
pointS and identify the limit point.  That will answer your question.

As for the choice of norm.  You choose the one which gives you the
answer and if that happens to be the L2 or Linf or L1 then you use
whichever.  The problem to which you refer (actually problem 3 I
believe) is rather subtle and involved as well.  The gist is that
there are a number of values of the matrix components (alpha and beta)
for which the mapping is a contraction (by considering the various
norms).  Because of its subtlety, it probably should not have been on
the midterm.  Please drop by on Monday to discuss if you like.  I will
be in from 12pm to 2pm.


Cheers,

Chris Rose

PS: You might want take care with English idioms when sending email.
"Please give me a prompt answer!" is a little rude since it could be
interpreted as a command as opposed to the plea for help which it was.
Since this is the second letter you've sent which skirted on the edge
of rudeness, I've decided to alert you so that future
misunderstandings can be avoided either with me or with others who
might take umbrage more easily.

From crose Sat Oct 19 12:13:57 1996
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Date: Sat, 19 Oct 96 12:10:37 EDT
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9610191610.AA01751@MOGLI.rutgers.edu>
To: ece501
Subject: office hours!!!!!
Status: RO


I'll be in on monday from 12pm to 2pm.  Come visit me!

Cheers,

Chris Rose

From crose Sat Oct 19 12:32:32 1996
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From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9610191632.AA01777@MOGLI.rutgers.edu>
To: ece501
Subject: problem 1.17
Cc: crose
Status: RO


A student writes:
Hi Prof. Rose,
 
I am still having trouble getting the answer to problem 17
from S&B.  I know that I must be missing something obvious 
because it looks like a straight forward plug and chug
problem.

(This is he Jordan form problem) 
 
For this problem I show lambda=2.

>From example 1.19 the solution should be:
 
f(2)  (1/1!)f'(2)
0      f(2)
 
where f(2) = e^(2t).


Feel free to repost this to the group, but I 
have a feeling that its proably obvious to
everyone else.

Regards,
Allen
 
*********************

Hi Allen,

The f() in question is the original f(At) = e^(At).

Thus, with f(x), df/dx = e^x.  In fact, all the derivatives
are e^x.  So actually, you have f(2t) and f'(2t) = f(2t) because
you're differentiating with repect to the WHOLE ARGUMENT
as opposed to the t inside.

Thanks for the question.  It is a SURPRISINGLY subtle point!
And I'm sure you've saved hours of frightened speculation
by other students by having the courage to ask about it.

Cheers,

Chris Rose


PS:  EVERYBODY KEEP THE EMAIL COMING.  I'll BE CHECKING IT
EVERY FEW HOURS FROM HOME.

From mae@ece.rutgers.edu Sat Oct 19 13:30:26 1996
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Date: Sat, 19 Oct 1996 13:15:35 -0400
From: Hideki Mae <mae@ece.rutgers.edu>
Message-Id: <199610191715.NAA24066@ece.rutgers.edu>
To: crose@ece.rutgers.edu
Subject: closed ball
Content-Length: 494
Status: RO

Professor I'm not sure if I understood the soln to ch1 prob 4 correctly. 
By setting the Metric space M as B2 the only parts that are of any significance
is a circle with center (0,0) and radius 0.5?  The B1 has a bigger radius and
contains the smaller circle B2.  Since, M was already set to equal the B2,
the only part that we are concerned with is just the region encompassed by
B2 ( or M in this case).  Is my reasoning correct?  Is this why even though
B1 is bigger, B1 is a subset of B2?

From crose Sat Oct 19 15:06:39 1996
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From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9610191901.AA01943@MOGLI.rutgers.edu>
To: ece501
Subject: fixed points and limit points
Status: RO


A student writes:


Professor I have a question about fixed point and limit point.  For prob8
of ch.1 since A(x) = x , we can start with any number (i.e. 1, 0.5, etc.)
and the iteration will return the same values.  Since you can put any numbers
than there is an infinite number of fixed points.  The fixed points will produce
iteration results that will always be the same number and hence have an infinite
number of limits as well.  Is this reasoning correct?  ALso, a pendulum has
limit point at the bottom and a fixed pt at where?  IS there an example of
a function that has a limit pt that is different from a fixed pt?
 
********************

Excellent question!  Think about that pendulum.  If you balance it
EXACTLY at the top, there're no forces acting on the mass which means
that it will go NOWHERE!  However, that's not a limit point since any
slight perturbation from that point will never result in the mass
resting there.

However, with the mass at the bottom, there's also no forces on the
mass.  The difference is that the mass will eventually slow down (I've
been assuming friction forces) and stop at the bottom.  The bottom
point IS A LIMIT POINT AND A FIXED POINT whereas the top point is only
a FIXED POINT of the mapping associated with the motion of the mass.

Isn't that NEATO!!!!!????????  :)

Now as for the identity mapping x = A(x) for all x in the domain of
the mapping, it depends upon how you define limit point.  We never
formally defined a limit point.  We only said vaguely, "it's where the
system ends up after a long time... i.e., where the system settles"
Well, here's a more formal definition.  A limit point is a point with
which is associated a nonzero measure "neighborhood".  Starting the
system at any point in the neighborhood will result in the system
"settling" to the limit point after some sufficiently long (possibly
infinite) period of time.  So, the mapping x=A(x) has an infinity of
FIXED POINTS but not a single limit point since if you change your
starting point by even a little bit, you dont' approach the previous
fixed point.  That is there is no nonzero neighborhood of "attraction"
about any of the fixed points.

CHeers,

Chris Rose

From crose Sat Oct 19 15:06:42 1996
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From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9610191906.AA01954@MOGLI.rutgers.edu>
To: ece501
Subject: xdot = A(t)x
Cc: crose
Status: RO


  I seem to be having a problem in constructing
the transition/fundamental matrix given a 
problem in the form

dx/dt = A(t)x

The problem arises when A(t) is not a constant
and hence the transition matrix is not of the
form e^At or A^t (for difference equations).
 
I have looked at the solutions provided by you
to problems 2.2 (Chapter 2, Question 2) and 
3.1 (Chapter 3 , Question 1). The  transition
matrix makes sense when one sees the answer
but I dont know how to go about constructing
them. Also the problem 3.1 does not state
the initial conditions.

*******************
It'll help a lot if you take a peek at the solutions
to a similar problem on last year's midterm (problem 2 I think).

However, in general you're not always able to find the transition matrix.
For the problems in the book, the basic idea is to just write out
the differential equations implied by the matrix notation and
solve them when possible.  The example in the book where

xdot = A(t)x  (example 2.5 on page 55)

just try writing out the equations for x1dot and x2dot.
I think you'll see how to approach the problem once you do
that. 

Cheers,

Chris Rose

From crose Sat Oct 19 15:19:01 1996
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From: Christopher Rose <crose>
Full-Name: Christopher Rose
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To: mae@ece.rutgers.edu
Subject: Re:  closed ball
Cc: ece501
Status: RO

Hi again!

Yup, you got it!  The purpose of that question was to illustrate that
you can't just consider the metric (distance measure).  You've got to
look at the space as well.

So to reiterate, consider a unit square with lower left corner at
(0,0).  This square is our metric space.  Now consider a closed ball
centered at (0,0) of radius 1.  The ball is not a "round ball" since
only the points which are IN the square are contained in B1.  This
does not cover the whole square.

How consider a closed ball with center at (0.5,0.5) and radius
sqrt(2)/2.  This closed ball has radius <1 but includes the whole
metric space and therefore B1 as well.

So, some of our intuitive notions of inclusion and distance 
can be misleading when talking about non-infinite spaces!

NASTY ISN'T IT!?!?!?!  Once again, a distance measure does
not a metric space make.  YOu always have to consider the SPACE
as well.

Cheers,

Chris Rose


From ANALUCI@aol.com Sat Oct 19 16:03:51 1996
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Date: Sat, 19 Oct 1996 15:49:25 -0400
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To: crose@ece.rutgers.edu
Subject: Problem 2.18
Status: RO

Hello Prof Rose,

I am still thinking about problem 18.. 

We have xdot = A(t)x + f(t).
x (to) = Xo

We generate a soluiton for all "t" using equation (2.23)
then we have x(t) as a function of t and to.

x(t) = fctn (t,to)   (*)

That's OK !!!
------------------


Now, we want to find the initial condition Xo, at t=to
so that the trajectory passes thru X(1) = (1,1) at t=1.

So you just considered (to = 1) and (t = 0) in (*)
x(t) = fcnt (t,to) and calculated x(0).

You went "backwards"....

As I understood we can do that because we are talking
about continuos time and the fundamental matrix
is always invertible. Am I right ?

What I want to know is:

if you start in Xo => you will get to X(1)
if you start in X(1) you will get to Xo, or better, you had been in Xo
before.
(???) I am really confused about that (??) !!!!!

Please, give me a help!!!! Thanks.
Ana. 

From crose Sat Oct 19 16:30:54 1996
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From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9610192030.AA02130@MOGLI.rutgers.edu>
To: ece501
Subject: question
Cc: crose@MOGLI.rutgers.edu
Status: RO


A student writes:
***********
Hello Prof Rose,

I am still thinking about problem 18.. 
 
We have xdot = A(t)x + f(t).
x (to) = Xo
 
We generate a soluiton for all "t" using equation (2.23)
then we have x(t) as a function of t and to.

x(t) = fctn (t,to)   (*)
 
That's OK !!!
------------------
 

Now, we want to find the initial condition Xo, at t=to
so that the trajectory passes thru X(1) = (1,1) at t=1.
 
So you just considered (to = 1) and (t = 0) in (*)
x(t) = fcnt (t,to) and calculated x(0).
 
You went "backwards"....

As I understood we can do that because we are talking
about continuos time and the fundamental matrix
is always invertible. Am I right ?

What I want to know is:
 
if you start in Xo => you will get to X(1)
if you start in X(1) you will get to Xo, or better, you had been in Xo
before.
(???) I am really confused about that (??) !!!!!
 
Please, give me a help!!!! Thanks.
Ana. 

**************


Yup, that's the ticket.  However, you always have to be careful
to make sure that the solution exists for the time at which
you're trying to find it.  For example, the differential
equation  xdot = 1/t x does not have a solution for t=0.
So being given the value at t=1 and being told to
find x(t=0) is nonsense.

So the succinct answer is.  The transition matrix for continuous
time is ALWAYS INVERTIBLE BY DEFINITION.  So anywhere the transition
matrix exists (for start and stop times t and tau, phi(t,tau)) you can reverse
the state.

FOR DISCRETE TIME, however, the transition matrix IS NOT ALWAYS INVERTIBLE!!!!.

Cheers and happy studying to all!

Chris Rose

From cripop@ece.rutgers.edu Sat Oct 19 18:17:49 1996
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From: Dimitrie Popescu <cripop@ece.rutgers.edu>
Message-Id: <199610192150.RAA21796@zen.rutgers.edu>
Subject: correction
To: ece501@mogli.rutgers.edu
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Status: RO


I would like to make a little correction to the formula of the fundamental
matrix for solving difference equation systems.

In the lecture from October 15, dr. Rose obtained:

x(t_0+tau)= Phi (t_0+tau,t_0)x_0 + 
+ sum from {k=t_0} to {t+tau-1} Phi(t_0+tau-1,k+1)f(k)

which is not the same as in the book (rel 2.44/pg. 72; w/ t_0=0)

By redoing the calculations we obtain:

x(t_0+1) = A(t_0)x_0 + f(t_0)
x(t_0+2) = A(t_0+1)A(t_0)x_0 + A(t_0+1)f(t_0)
x(t_0+3) = A(t_0+2)A(t_0+1)A(t_0)x_0 + A(t_0+2)A(t_0+1)f(t_0) + 
         + A(t_0+2)f(t_0+1) + f(t_0+2)

If we denote:

Phi(t_0+tau,t_0) = prod from {k=0} to {t_0+tau-1} A(t_0+k)

the transition matrix from x(t_0) to x(t_0+tau), then we have, for what we
wrote above (tau=3)

A(t_0+2)A(t_0+1)A(t_0) = Phi(t_0+3,t_0)
A(t_0+2)A(t_0+1) = Phi(t_0+3,t_0+1)
A(t_0+2) = Phi(t_0+3,t_0+2)

so, the general formula can be written as:

x(t_0+tau)= Phi (t_0+tau,t_0)x_0 + 
+ sum from {k=0} to {tau-1} Phi(t_0+tau,t_0+k+1)f(t_0+k)

One can easily verify that for t_0=0 the formula is the same as 2.44 
in the book (pag.72).

Also, to have a better resemblance with the continuous-time case, we can
make the substitution t_0+tau=t (the actual time instant for which we are
calculating the state; since we are in the discrete case, t can only take
natural values), and t_0+k=theta and we can write the formula as:

x(t)= Phi (t,t_0)x_0 + sum from {theta=t_0} to {t-t_0-1} Phi(t,theta+1)f(theta)

w/ Phi(t,t_0) = prod from {theta=t_0} to {t-1} A(theta)

Note: theta is a dummy variable for summation, so now it can be exchanged with
anything else.





From cripop@ece.rutgers.edu Sat Oct 19 19:08:04 1996
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From: Dimitrie Popescu <cripop@ece.rutgers.edu>
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Status: RO



In the last formula of my message, there is a small typing error, it should be
sum from {theta=t_0} to {t-1} not {t-t_0-1}.
So, the correct form is:

x(t)= Phi (t,t_0)x_0 + sum from {theta=t_0} to {t-1} Phi(t,theta+1)f(theta)

My apologizes.

===============================================================================:  
>From <@MOGLI.rutgers.edu:cripop@ece.rutgers.edu> Sat Oct 19 17:58:46 1996
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From: Dimitrie Popescu <cripop@ece.rutgers.edu>
Message-Id: <199610192150.RAA21796@zen.rutgers.edu>
Subject: correction
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Status: RO


I would like to make a little correction to the formula of the fundamental
matrix for solving difference equation systems.

In the lecture from October 15, dr. Rose obtained:

x(t_0+tau)= Phi (t_0+tau,t_0)x_0 + 
+ sum from {k=t_0} to {t+tau-1} Phi(t_0+tau-1,k+1)f(k)

which is not the same as in the book (rel 2.44/pg. 72; w/ t_0=0)

By redoing the calculations we obtain:

x(t_0+1) = A(t_0)x_0 + f(t_0)
x(t_0+2) = A(t_0+1)A(t_0)x_0 + A(t_0+1)f(t_0)
x(t_0+3) = A(t_0+2)A(t_0+1)A(t_0)x_0 + A(t_0+2)A(t_0+1)f(t_0) + 
         + A(t_0+2)f(t_0+1) + f(t_0+2)

If we denote:

Phi(t_0+tau,t_0) = prod from {k=0} to {t_0+tau-1} A(t_0+k)

the transition matrix from x(t_0) to x(t_0+tau), then we have, for what we
wrote above (tau=3)

A(t_0+2)A(t_0+1)A(t_0) = Phi(t_0+3,t_0)
A(t_0+2)A(t_0+1) = Phi(t_0+3,t_0+1)
A(t_0+2) = Phi(t_0+3,t_0+2)

so, the general formula can be written as:

x(t_0+tau)= Phi (t_0+tau,t_0)x_0 + 
+ sum from {k=0} to {tau-1} Phi(t_0+tau,t_0+k+1)f(t_0+k)

One can easily verify that for t_0=0 the formula is the same as 2.44 
in the book (pag.72).

Also, to have a better resemblance with the continuous-time case, we can
make the substitution t_0+tau=t (the actual time instant for which we are
calculating the state; since we are in the discrete case, t can only take
natural values), and t_0+k=theta and we can write the formula as:

x(t)= Phi (t,t_0)x_0 + sum from {theta=t_0} to {t-t_0-1} Phi(t,theta+1)f(theta)

w/ Phi(t,t_0) = prod from {theta=t_0} to {t-1} A(theta)

Note: theta is a dummy variable for summation, so now it can be exchanged with
anything else.






From crose@mogli.rutgers.edu Sat Oct 19 20:11:56 1996
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	id AA02340; Sat, 19 Oct 96 20:11:55 EDT
Full-Name: Christopher Rose
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	id AA08220; Sat, 19 Oct 96 19:07:06 EDT
Date: Sat, 19 Oct 96 19:07:06 EDT
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9610192307.AA08220@mogli>
To: mae@ece.rutgers.edu
Subject: Re:  p.34
Cc: crose@MOGLI.rutgers.edu, ece501@MOGLI.rutgers.edu
Status: RO

> I have a question about the expansion of f(A).  Is equation 1.39 a form that
> can be applied to any matrix A?  Is it some kind of Taylor polynomial 
> approximantion?  IS there anything special about this way of representing
> f(A)?


Hi,

Yup, there's something special about equation 1.39.  The form only
works for the decomposition A = lambda I + N introduced at the top of
the page (page 34).  The decomposition allows you to see that exp(J)
where J is a jordan block, takes a particular form (the one with f, f'
f'' etc shown almost at the bottom o the page.

So, yes, equation 1.39 is derived from the taylor expansion for f()
BUT the specific form it reduces to is for A a jordan form block.


Hope that helps...

Cheers,

Chris Rose

From crose@mogli.rutgers.edu Sat Oct 19 20:12:34 1996
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	id AA02346; Sat, 19 Oct 96 20:11:57 EDT
Full-Name: Christopher Rose
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	id AA08239; Sat, 19 Oct 96 19:27:07 EDT
Date: Sat, 19 Oct 96 19:27:07 EDT
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9610192327.AA08239@mogli>
To: cripop@ece.rutgers.edu
Subject: Re:  correction
Cc: crose@MOGLI.rutgers.edu, ece501@MOGLI.rutgers.edu
Status: RO

HI Dimitrie,

Yup, that -1 in the first argument of the transition matrix inside the
sum should not be there.  Not sure how that crept in (whether it was a
logical or a typographical error).

In any case, an easy way to see that the -1 should not be there is to
note that when k = t_0 + tau -1 we should have an identity matrix
multiplying f(t_0+tau-1).  That means that the transition matrix
should have the same value in both arguments.

IT DOES NOT if the -1 is in there.  That's a dead giveaway.
This basic technique (check extremal cases) is a good thing
to use in your work (or on tests) as a sanity check.

One further note: 

I'm assuming the t in the upper limit in your transcription of my
board notes was a typo too. You have t + tau -1 and it should be
t_0+tau-1.  Board typo or your typo?

Thanks for noting the difference between the board notes and the book
and offering a correction, Dimitrie!

Cheers,

Chris Rose

From mae@ece.rutgers.edu Sun Oct 20 11:20:16 1996
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Date: Sun, 20 Oct 1996 11:05:15 -0400
From: Hideki Mae <mae@ece.rutgers.edu>
Message-Id: <199610201505.LAA03244@ece.rutgers.edu>
To: crose@ece.rutgers.edu
Subject: p.55
Content-Length: 262
Status: R

We were trying to figure out ex.2.5 on p.55.  HOw did you get the transition mat
rix?  We tried it couple ways but get answers that are different from the etext book.  We tried by solving the differential eqn.  HBut, that doesn't seem to 
give the same matrix.

From crose@mogli.rutgers.edu Sun Oct 20 14:11:59 1996
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Full-Name: Christopher Rose
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	id AA08822; Sun, 20 Oct 96 13:04:33 EDT
Date: Sun, 20 Oct 96 13:04:33 EDT
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9610201704.AA08822@mogli>
To: mae@ece.rutgers.edu
Subject: Re:  p.55
Cc: crose@MOGLI.rutgers.edu
Status: R

HI,

Write out the differential equations in long form (i.e., expand the matrix
form into a system of two differential equations in x1 and x2.
Solve the one in x2 and then the solution for the one in x1 will
easy.  Then you use the transition matrix construction where
the kth column is the solution to the initial condition e_k.

Try sending me your calculations if you get stuck.

Cheers,

Chris Rose



From mae@ece.rutgers.edu Sun Oct 20 14:20:57 1996
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Date: Sun, 20 Oct 1996 14:05:56 -0400
From: Hideki Mae <mae@ece.rutgers.edu>
Message-Id: <199610201805.OAA04231@ece.rutgers.edu>
To: crose@ece.rutgers.edu
Subject: inverse transform
Content-Length: 520
Status: R

I was trying to do the inverse matrix for p.80.  What was the exact formula to
use to find inverse matrix.  is it: [a b
                                     c d] , inverse = 1/(ad-cb)[d c; b a] ?
I realize you went over this in class once, but I can't find it in my notes.
For p.80 it shows 1/(ad - cb)[d -c; -b a] which is different from what is on 
p.68 where inverse matrix is of the form : a/(ad -cb)[d c; b a] 
I remember that I'm suppose to multiply by -1 for certain coord. I can'r what the general formula was.


From mae@ece.rutgers.edu Sun Oct 20 14:25:12 1996
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Date: Sun, 20 Oct 1996 14:10:16 -0400
From: Hideki Mae <mae@ece.rutgers.edu>
Message-Id: <199610201810.OAA04242@ece.rutgers.edu>
To: crose@mogli.rutgers.edu
Subject: Re:  p.55
Content-Length: 217
Status: R

We got x1dot = tx1 + tx2
       x2dot = 2tx2.
We got x2 = exp(t^2).
However once we plug it back into x1dot = tx1 + t*exp(t^2) we get stuck
We tried differnet ways to get the soln but we can't get beyond this point.


From crose@mogli.rutgers.edu Sun Oct 20 18:12:43 1996
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	id AA03241; Sun, 20 Oct 96 18:12:43 EDT
Full-Name: Christopher Rose
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	id AA08944; Sun, 20 Oct 96 17:12:44 EDT
Date: Sun, 20 Oct 96 17:12:44 EDT
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9610202112.AA08944@mogli>
To: ece501@MOGLI.rutgers.edu
Subject: folks
Cc: crose@MOGLI.rutgers.edu
Status: R


Hi Folks,

Make sure your ssn (last four digits) appears in the list
of grades, even it you did not submit a problem set.

Cheers,

Chris Rose

From crose@mogli.rutgers.edu Sun Oct 20 18:12:47 1996
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	id AA03254; Sun, 20 Oct 96 18:12:47 EDT
Full-Name: Christopher Rose
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	id AA08960; Sun, 20 Oct 96 17:19:31 EDT
Date: Sun, 20 Oct 96 17:19:31 EDT
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9610202119.AA08960@mogli>
To: mae@ece.rutgers.edu
Subject: Re:  inverse transform
Cc: crose@MOGLI.rutgers.edu
Status: R

Hi Hideki,

yeah, it's a little painful to do the inverse, especially for larger matrices.

For a 2x2 you have

|a b| inverse is 
|c d|

| d -b|
|-c  a| divided by (ad-bc)

which is what you had.  The basic idea is spelled out in Strang (a linear
algebra text).  I would not worry too much about this however.

Cheers,

Chris Rose


From crose@mogli.rutgers.edu Sun Oct 20 18:12:49 1996
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	id AA03259; Sun, 20 Oct 96 18:12:48 EDT
Full-Name: Christopher Rose
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	id AA08965; Sun, 20 Oct 96 17:22:18 EDT
Date: Sun, 20 Oct 96 17:22:18 EDT
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9610202122.AA08965@mogli>
To: mae@ece.rutgers.edu
Subject: Re:  p.55
Cc: crose@MOGLI.rutgers.edu
Status: R

Hi again,

First solve the homogeneous form.  Then get the particular solution
by assuming that x1 is of the form A e^(t^2).  That should do the trick.

In general, always first try the particular solution in the form of 
the drive term (in this case, something with a t^2 in the exponential).

Sound like magic?  Well, it is kind of.  A lot of diffeq solving is
simply inspired guesswork.

Cheers and congratulations for keeping at it!

Chris Rose

From crose@mogli.rutgers.edu Sun Oct 20 18:16:24 1996
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Full-Name: Christopher Rose
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	id AA08989; Sun, 20 Oct 96 17:32:42 EDT
Date: Sun, 20 Oct 96 17:32:42 EDT
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9610202132.AA08989@mogli>
To: ece501@MOGLI.rutgers.edu
Subject: new grades
Status: R


Hi Folks,

A social security number error and a missed correct solution
are included here.  One of you (2674) will be disappointed
to know that the missed correct solution bounced you
to a 3 from a perfect 4.  AAAAARRRRRRRGGGGGHHHHH!!!!! you may
yell throatily!  :)

In any case, here's the corrected grades.  Please note any
ssn errors (like either your ssn last for digits do not appear
at all, or suspiciously similar digits, but not quite the right
ones, are on the list)

*****************
SSN	E1	E2	
8311	0	3	
1826	2	0	
1525	1	2	
0754	0	0	
4552	0	3	
2751	0	0	
3022	0	4	
2549	0	0	
3431	1	0	
9441	0	4	
6372	1	4	
3106	0	0	
8346	0	0	
4046	0	0	
7111	0	0	
1154	1	0	
6122	3	0	
4670	0	3	
7058	1	3	
4177	1	0	
1859	0	0	
2036	0	3	
5645	1	0	
7793	2	0	
8674	0	3	
5716	2	3	
1899	0	0	
2674	3	3	
1590	1	4	
0737	0	3	
9700	1	4	
1233	0	0	
1538	0	2	
1455	2	2	
9928	0	4	
9196	0	0	
1420	0	3	
4059	0	0	
8656	0	0	
3003	0	4	
2017	0	0	

From Carkas@aol.com Sun Oct 20 19:39:36 1996
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From: Carkas@aol.com
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Date: Sun, 20 Oct 1996 19:25:00 -0400
Message-Id: <961020192459_1313873633@emout15.mail.aol.com>
To: crose@ece.rutgers.edu
Subject: Questions???
Status: R

Dr. Rose and/or fellow classmates:

A couple questions with regard to the upcoming exam:

1) In PS3 (Chapter 2, probelm 2) we found the transition matrix of the
homogeneous equation to be  [ t  0]   However, when we then attempt to find
the transition matrix 
                       [0  t]

for the same equation with a drive term added PS4 (Chapter 3, Problem 1),
 the "t" in the matrix mentioned above becomes "t/tau".  I do not see where
the scale factor tau comes from.  As an aside, when you are attempting to
find the solution to an equation that does contain a drive term (constant
coefficient in this case), is it valid to simply ignore the drive term
initially to find the transition matrix (for the homogeneous case).  Then
perform the necessary summation or integration including the effect of the
drive term.  In particular, will the transition matrix be the same in both
the homogeneous and non-homogeneous case???

2) Also, could you please explain how you derived the "A" matrix associated
with the second problem of extra problem set 1 (the demoness problem).  I
have attempted unsuccessfully to go from the word problem given to the
differential equation and the associated A matrix.  Please explain the
thought process here.

Thank You for your help.     


From mae@ece.rutgers.edu Sun Oct 20 21:18:33 1996
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Date: Sun, 20 Oct 1996 21:03:28 -0400
From: Hideki Mae <mae@ece.rutgers.edu>
Message-Id: <199610210103.VAA08364@ece.rutgers.edu>
To: crose@ece.rutgers.edu
Subject: prob set 4
Content-Length: 118
Status: R

For prob 1 of Set 4 is the transition matrix [t/tau 0; 0 t/tau] or is it 
[t 0; 0 t] which is the soln to ch2 prob.2.

From crose@mogli.rutgers.edu Sun Oct 20 21:42:23 1996
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Full-Name: Christopher Rose
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Date: Sun, 20 Oct 96 21:06:38 EDT
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9610210106.AA09138@mogli>
To: ece501@MOGLI.rutgers.edu
Subject: problem 2.6
Cc: crose@MOGLI.rutgers.edu
Status: R


Hi FOlks,

The solution to problem 2.6 has a sign error.  The terms in 0^t
should have the opposite sign of what they have.  By the
time you read this however, the problem will almost certainly have
been corrected on the web page.  Mark your printed copies
appropriately.  Thanks is due to Ana for raising the question.

Cheers,

Chris Rose

From crose@mogli.rutgers.edu Sun Oct 20 22:12:02 1996
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	id AA03510; Sun, 20 Oct 96 22:11:59 EDT
Full-Name: Christopher Rose
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	id AA09191; Sun, 20 Oct 96 22:22:42 EDT
Date: Sun, 20 Oct 96 22:22:42 EDT
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9610210222.AA09191@mogli>
To: Carkas@aol.com
Subject: Re:  Questions???
Cc: crose@MOGLI.rutgers.edu, ece501@MOGLI.rutgers.edu
Status: R

Hi Chris,

For 1), you have to construct the transition matrix so that phi(t,t) = I.
The t/tau comes out of that.

For 2) the basic idea is that whatever the demon "mass" in a given seat,
1/3 of it goes left, 1/3 goes right and 1/3 stays put.  This is independent
of the number of demons residing on a given seat.  For the end
seats, 2/3 stays put and 1/3 goes in the direct of the next available seat.
The trick, if you can call it that, is to see that the splitting of demons
does not depend on the number of demons in a given seat, but only their
combined weight.  The other part is to see that a demon sitting at time t=0
in a particular seat is simply an initial condition on the mass distribution
over the seats.  In particular, if the first demon starts out
at seat k, then the initial condition is e_k (as defined in the text).


Also, some folks did not realize that when a demon splits, 1/3 of its
WEIGHT goes in each of the directions (left, stay, right).  So we don't get
multiplication of demon weight (as would be the case if each demon split inot
three demons of the same weight as the original).  In short, we use conservation
of mass (something even a demon(ess) can't avoid :)

Hope that helped...


Cheers,

Chris Rose

From MAILER-DAEMON Sun Oct 20 23:17:11 1996
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The original message was received at Sun, 20 Oct 1996 22:01:58 -0400 (EDT)
from mogli.rutgers.edu [128.6.46.55]

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From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9610210222.AA09191@mogli>
To: Carkas@aol.com
Subject: Re:  Questions???
Cc: crose@mogli.rutgers.edu, ece501@mogli.rutgers.edu

Hi Chris,

For 1), you have to construct the transition matrix so that phi(t,t) = I.
The t/tau comes out of that.

For 2) the basic idea is that whatever the demon "mass" in a given seat,
1/3 of it goes left, 1/3 goes right and 1/3 stays put.  This is independent
of the number of demons residing on a given seat.  For the end
seats, 2/3 stays put and 1/3 goes in the direct of the next available seat.
The trick, if you can call it that, is to see that the splitting of demons
does not depend on the number of demons in a given seat, but only their
combined weight.  The other part is to see that a demon sitting at time t=0
in a particular seat is simply an initial condition on the mass distribution
over the seats.  In particular, if the first demon starts out
at seat k, then the initial condition is e_k (as defined in the text).


Also, some folks did not realize that when a demon splits, 1/3 of its
WEIGHT goes in each of the directions (left, stay, right).  So we don't get
multiplication of demon weight (as would be the case if each demon split inot
three demons of the same weight as the original).  In short, we use conservation
of mass (something even a demon(ess) can't avoid :)

Hope that helped...


Cheers,

Chris Rose


From crose@mogli.rutgers.edu Mon Oct 21 10:11:55 1996
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	id AA04056; Mon, 21 Oct 96 10:11:54 EDT
Full-Name: Christopher Rose
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	id AA09673; Mon, 21 Oct 96 10:05:10 EDT
Date: Mon, 21 Oct 96 10:05:10 EDT
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9610211405.AA09673@mogli>
To: ece501@MOGLI.rutgers.edu
Subject: grade corrections
Cc: crose@MOGLI.rutgers.edu
Status: R


Hi Guys,

Here's a corrected grade list.  One person got credit
when they shouldn't have on the second extra problem set.

(they missed the delta function in the last problem).

Please make sure to find your name and notify me if the last
4 digits in your ssn are either wrong or absent.

Cheers,

Chris Rose

*************
SSN	E1	E2	
8311	0	3	
1826	2	0	
1525	1	2	
0754	0	0	
4552	0	3	
2751	0	0	
3022	0	4	
2549	0	0	
3431	1	0	
9441	0	4	
6372	1	4	
3106	0	0	
8346	0	0	
4046	0	0	
7111	0	0	
1154	1	0	
6122	3	0	
4670	0	3	
7058	1	3	
4177	1	0	
1859	0	0	
2036	0	3	
5645	1	0	
7793	2	0	
8674	0	3	
5716	2	0	
1899	0	0	
2674	3	3	
1590	1	4	
0737	0	3	
9700	1	4	
1233	0	0	
1538	0	2	
1455	2	2	
9928	0	4	
9196	0	0	
1420	0	3	
4059	0	0	
8656	0	0	
3003	0	4	
2017	0	0	

From zhuowen@eden.rutgers.edu Mon Oct 21 13:16:09 1996
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Date: Mon, 21 Oct 96 13:02:56 EDT
From: Wen Zhuo <zhuowen@eden.rutgers.edu>
To: crose@mogli.rutgers.edu (Christopher Rose)
Subject: Re: grade corrections
In-Reply-To: Your message of Mon, 21 Oct 96 10:05:10 EDT
Message-Id: <CMM-RU.1.5.845917376.zhuowen@er7.rutgers.edu>
Status: RO



Hi, Dr. Rose
	What's the defination of "Convex set" and "Rank of a matrix".
	I cannot find it.
	Thank you.

From grieco@eeyore Mon Oct 21 13:38:45 1996
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From: grieco@eeyore.ira.rl.af.mil (John J Grieco)
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To: crose@mogli.rutgers.edu
Subject: PS 4 #5 (ch3 prob 14)
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Status: RO

Hi Prof. Rose,

I have worked this problem and I don't get the solution as it is posted.

Posted solution has:

dot(z)1=0
dot(z)2=z1-z2-1

I get :

dot(z)1=0
dot(z)2=z1-z2     (but no -1)

Is this an error in the posted solution or am I missing something?

Thanks,
John

From yongbai@bugeyes.rutgers.edu Mon Oct 21 16:29:17 1996
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From: "Yong Bai" <yongbai@bugeyes.rutgers.edu>
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Date: Mon, 21 Oct 1996 13:16:05 -0700
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To: crose@ece.rutgers.edu
Subject: Questions about satellite prolem
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Status: R

Dear Prof. Rose:
I read the textbook about the satellite problem, and there are two questions
that I can not figure out. Would you help me to sovle them before Tuesday
afternoon?
1. On Page 86 top line, why the left side of the equation is ru2 instead of u2?
2. On Page 89, the example 3.5 tells me that there is no equilibrium point for
the satellite problem. But Example 3.6 says there IS equilibrium point and
linearize the matrix around the equilibrium point. So how do I understand these
two examples? Furthermore what is the equilibrium point for this problem?
Best regards,
Yong Bai

-- 
Yong Bai

From crose Mon Oct 21 16:46:09 1996
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Date: Mon, 21 Oct 96 16:46:08 EDT
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9610212046.AA04637@MOGLI.rutgers.edu>
To: yongbai@bugeyes.rutgers.edu
Subject: Re:  Questions about satellite prolem
Cc: crose, ece501
Status: R

HI Yong,

This letter has to do with examples 3.5 and 3.6 in the text).  Yong
wants to know why in 3.5 they say there is not equilibrium point and
then in 3.6 they go on and linearize about some funny equilibrium.

1) structural: It's r u_2 as the drive term because it's a torque
about the center point.  I seem to remember missing this point on the
board in class.  Please correct it in your notes if I did indeed
neglect to put it in.

2) As for examples 3.5 and 3.6, the difference is that in 3.5 no
inputs are applied (inputs are zero) and the equations are used in raw
form.  IN 3.6 new state variables are defined by subtracting functions
from the originals.  These functions are obtained by solving the
differential equations for the zero input case.

Thus, we're linearizing about the zero input (equilibrium) TRAJECTORY
as opposed to a given state point (equilibrium).  Thanks for bringing
this up.  It's a bit subtle.

Cheers,

Chris Rose

From crose@mogli.rutgers.edu Mon Oct 21 16:53:28 1996
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From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9610212030.AA09816@mogli>
To: ece501@MOGLI.rutgers.edu
Subject: problem 3.14 
Cc: crose@MOGLI.rutgers.edu
Status: R


Linearization.

The published solution should not have
the -1 sitting in the equation for x2dot (problem 3.14).

My error both in office hours today and last year on the solutions.

The quick way to identify the error is to look at the approximation
for z2dot and note that z2dot is not equal to zero at the expansion
point (0,0).  Since we were expanding about an equilibrium point,
that's a no no.

Dimitrie, mea culpa.  You thought it was wrong but I confused the
issue for both of us.  MORAL:  Stick to your guns until you're satisfied!

:)

Cheers,

Chris Rose

From crose@mogli.rutgers.edu Mon Oct 21 16:53:30 1996
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Date: Mon, 21 Oct 96 16:34:26 EDT
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9610212034.AA09829@mogli>
To: zhuowen@eden.rutgers.edu
Subject: Re: grade corrections
Cc: crose@MOGLI.rutgers.edu
Status: R

Rank of a matrix  is the number of independent rows (or columns).

A convex set was defined in class (since it wasn't defined
in the book) and is defined as:

A set is convex if for all elements in the set x and y,

z = lambda x + (1-lambda)y is also in the set for 0 <= lambda <= 1.

Thus, a simple interval is convex (in R1 for example).  Two disjoint intervals
making up a single set is not convex.

Cheers,

Chris Rose

From hatangad@ece.rutgers.edu Mon Oct 21 17:54:08 1996
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Date: Mon, 21 Oct 1996 17:39:35 -0400
From: Sonya Hatangadi <hatangad@ece.rutgers.edu>
Message-Id: <199610212139.RAA21217@ece.rutgers.edu>
To: crose@MOGLI.rutgers.edu
Subject: Questions
Content-Length: 288
Status: R

In the last years midterm solution , 
Answer 2c, there is a note which says
that the transition matrix =
exp^(integral A(tau)dtau
as long as A(t) and integral A(tau)dtau
commute.

What does it mean when we say they commute?

                    Thanks!

                           Sonya.

From crose@mogli.rutgers.edu Mon Oct 21 20:12:04 1996
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Date: Mon, 21 Oct 96 19:16:12 EDT
From: crose@mogli.rutgers.edu (Christopher Rose)
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To: hatangad@ece.rutgers.edu
Subject: Re:  Questions
Cc: crose@MOGLI.rutgers.edu
Status: R

A and B commute if AB = BA (which is not in general the case).

Cheers,

Chris Rose

From crose@mogli.rutgers.edu Mon Oct 21 20:12:06 1996
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Date: Mon, 21 Oct 96 19:16:41 EDT
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9610212316.AA10029@mogli>
To: ece501@MOGLI.rutgers.edu
Cc: crose@MOGLI.rutgers.edu
Status: R

question



In the last years midterm solution , 
Answer 2c, there is a note which says
that the transition matrix =
exp^(integral A(tau)dtau
as long as A(t) and integral A(tau)dtau
commute.

What does it mean when we say they commute?

                    Thanks!
***********

A and B commute if AB = BA (which is not in general the case).

Cheers,

Chris Rose

From crose@mogli.rutgers.edu Mon Oct 21 20:12:08 1996
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From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9610212317.AA10034@mogli>
To: ece501@MOGLI.rutgers.edu
Subject: fixed points again
Cc: crose@MOGLI.rutgers.edu
Status: R


......

As for fixed points, equilibrium points etc.

A fixed point is a point for which and iterative mapping
stays put.  tThat is, if A(x) is a mapping then A(x*) = x* has x* as
a fixed point.  This is also called an equilibrium point.

A fixed point is not necessarily a limit point since you can
have "stable fixed points" which are approached from various starting points
and unstable fixed points which are approached from no trajectories.

The pendulum on a rigid rod is an example of this.  Balanced up top: fixed but
not stable (not a limit point).  At rest on the bottom: fixed point and a limit
point (assuming friction slows the pendulum down).

An equilibrium point, fixed point, etc for a continuous time system occurs
when xdot = 0.  That is, you start the system off in a state from which
it never leaves.  

Hope that helped a little,

Cheers,

Chris Rose

From crose@mogli.rutgers.edu Mon Oct 21 22:11:56 1996
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From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9610220211.AA10144@mogli>
To: ece501@MOGLI.rutgers.edu
Subject: off the air
Cc: crose@MOGLI.rutgers.edu
Status: R


Hi Folks,

Though it may not seem like a service, I'm going off the air at 2am this
evening (tonight).  What I've found is that questions asked the day
of the exam usually only serve to confuse issues and generate
even more anxiety.  So ask until you drop, but not after 2am tonight.

I'll answer the last round at 9am tomorrow (approximate time), but then
no more questions will be answered afterward.

HOWEVER, there is absolutely NO reason you can't still post to the group
and await an answer from a fellow student.  In fact, in general
I'd love to just preside over the "501 newsgroup" and act as a semi-moderator.

I've been extremely pleased with the number of email requests for info
I've been getting in the last week or so.. .. keep it up!!!!

Cheers,

Chris Rose

From mae@eden.rutgers.edu Mon Oct 21 22:27:47 1996
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Date: Mon, 21 Oct 1996 22:14:28 -0400
From: Hideki Mae <mae@eden.rutgers.edu>
Message-Id: <199610220214.WAA27785@er7.rutgers.edu>
To: crose@ece.rutgers.edu
Subject: midterm part 3 b.
Status: R

Why can't eigval not equal to 1?  As long as I - A is nonsingular the resultingmatrix has form {1 - aii } in the diagonal and arbitrary elements on non-diag.
parts. if you get the chara. poly. it has form (lambda - 1 + aii)*(something)...  How do you get an exact value like 1 from this generalized eqn?

From crose@mogli.rutgers.edu Tue Oct 22 00:11:56 1996
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Date: Tue, 22 Oct 96 00:12:58 EDT
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9610220412.AA10297@mogli>
To: mae@eden.rutgers.edu
Subject: Re:  midterm part 3 b.
Cc: crose@MOGLI.rutgers.edu
Status: R

If (I-A) is singular, then there will be more than one value for
of v for which (I-A)v =  b for assuming arbitrary b.  This means
that the fixed point is not unique which is a violation
of the assumption.  So A can't have an eigenvalue of 1.

Cheers,

Chris Rose

From crose@mogli.rutgers.edu Tue Oct 22 00:11:58 1996
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From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9610220416.AA10302@mogli>
To: qhzheng@ece.rutgers.edu
Subject: Re: off the air
Cc: crose@MOGLI.rutgers.edu
Status: R

HI Quihao  (KweeHow, right?)

Try writing out the differential equations in x_1 and x_2 for the homogenous
case (u(t) = 0).  Then follow the construction for phi(t,t_0)
on the top of page 53 of the text.  I think that will do
it for you.  Good luck!  :)


Cheers,

Chris Rose

From ykogan@eden.rutgers.edu Tue Oct 22 01:52:07 1996
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From: "Yelenq Kogan" <ykogan@eden.rutgers.edu>
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Date: Tue, 22 Oct 1996 01:38:53 -0400
In-Reply-To: crose@mogli.rutgers.edu (Christopher Rose)
        "off the air" (Oct 21, 10:11pm)
References: <9610220211.AA10144@mogli>
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To: crose@mogli.rutgers.edu (Christopher Rose)
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Status: R

Dr. Rose,

I think that in problem #1 ch.3, the solution for
y(t) should be:

 y(t) = (t/t_0 t/t_0)x_0 + integral_{t_0}^t 2t/tau u(tau) dtau.

Is this correct?

Thank you,
Lena

From crose@mogli.rutgers.edu Tue Oct 22 11:43:07 1996
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Date: Tue, 22 Oct 96 10:57:44 EDT
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9610221457.AA10571@mogli>
To: ykogan@eden.rutgers.edu
Subject: Re: off the air
Cc: crose@MOGLI.rutgers.edu
Status: R

Yup, the first term is missing 1/t_0 and you can simplify the 
drive term as you did.

Cheers,

Chris Rose

***********************
Dr. Rose,

I think that in problem #1 ch.3, the solution for
y(t) should be:

 y(t) = (t/t_0 t/t_0)x_0 + integral_{t_0}^t 2t/tau u(tau) dtau.

Is this correct?


From crose@mogli.rutgers.edu Tue Oct 22 11:49:34 1996
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Date: Tue, 22 Oct 96 10:58:39 EDT
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9610221458.AA10590@mogli>
To: ece501@MOGLI.rutgers.edu
Subject: problem 3.1
Status: RO



Dr. Rose,
 
I think that in problem #1 ch.3, the solution for
y(t) should be:

 y(t) = (t/t_0 t/t_0)x_0 + integral_{t_0}^t 2t/tau u(tau) dtau.

Is this correct?

****************
Yup, the first term is missing 1/t_0 and you can simplify the 
drive term as you did.

Cheers,

Chris Rose

From vpopescu@caip.rutgers.edu Tue Oct 22 20:54:59 1996
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From: Viorel George Popescu <vpopescu@caip.rutgers.edu>
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Date: Tue, 22 Oct 1996 20:41:27 -0400
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To: crose@mogli.rutgers.edu
Subject: Re: problem 3.1
Cc: vpopescu@caip.rutgers.edu
X-Sun-Charset: US-ASCII
Status: R


This is a quick solution to problem 1.3

The picture below show that the distance function 
rho(x,y)=(x-y)^2 does not satisfy the point (iii) 
in definition 1.1:


 ---------------
|               |
|               |
|---------      |
|         |     |
|         |-----|
|         |     |
|         |     |
 ---------------
x         y     z

(Area of the big square is bigger than 
the sum of the areas of smaller squares).


Cheers, George

From crose@mogli.rutgers.edu Tue Oct 22 23:42:04 1996
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Date: Tue, 22 Oct 96 22:25:21 EDT
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9610230225.AA10947@mogli>
To: ece501@MOGLI.rutgers.edu
Subject: problem 1.3
Cc: crose@MOGLI.rutgers.edu
Status: R


This is an extremely elegant solution to problem 1.3 in
the text:

********
This is a quick solution to problem 1.3

The picture below show that the distance function 
rho(x,y)=(x-y)^2 does not satisfy the point (iii) 
in definition 1.1:


 ---------------
|               |
|               |
|---------      |
|         |     |
|         |-----|
|         |     |
|         |     |
 ---------------
x         y     z

(Area of the big square is bigger than 
the sum of the areas of smaller squares).


Cheers, George

*************

From crose Tue Nov  5 20:13:08 1996
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Date: Tue, 5 Nov 96 20:10:08 EST
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9611060110.AA23595@MOGLI.rutgers.edu>
To: ece501
Status: R

SSN	E2	MID
8311	3	68	
1826	3	110	
1525	2	101	
0754	0	66	
4552	3	57	
2751	0	68	
3022	4	108	
2549	0	58	
3431	0	107	
9441	4	77	
6372	4	98	
3106	0	98	
8346	0	102	
4046	0	85	
7111	0	85	
1154	0	133	
6122	0	65	
4670	3	92	
7058	3	102	
4177	0	142	
1859	0	105	
2036	3	111	
5645	0	133	
7793	0	100	
8674	3	85	
5716	0	95	
1899	0	102	
2674	3	147	
1590	4	130	
0737	3	96
9700	4	95	
1233	0	99	
1538	2	140	
1455	2	122	
9928	4	100	
9196	0	147	
1420	3	96	
4059	0	78	
8656	0	78	
3003	4	128	

From crose Tue Nov  5 20:22:05 1996
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Date: Tue, 5 Nov 96 20:18:35 EST
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9611060118.AA23643@MOGLI.rutgers.edu>
To: ece501
Subject: grades
Status: R


I'll look over the exams and hand them back on thursday.
I'm not sure how I feel yet about the letter grade (that's
why I'm going to look at the exams).  I'll post
my feelings (or just tell you in class).

By the way... 

AVERAGE: 100
Standard Dev. 23
High 147
Low 58

The histogram is available on the web page...

Cheers,

Chris Rose

From crose@mogli.rutgers.edu Sun Nov 10 14:12:04 1996
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Date: Sun, 10 Nov 96 13:18:55 EST
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9611101818.AA04346@mogli>
To: ece501@MOGLI.rutgers.edu
Subject: erratum in book
Cc: crose@MOGLI.rutgers.edu
Status: R


>From Allen Onweller:
*******************
I think there is an error on page 162 of S&B.

The transfer function (eq. P21.9) looks incorrect.

I think that it should be:

H(s) = [K_m.K_a]/[s((sL_f + R_f)(sJ + f) + K_m.K_a.K_t)]

rather than

H(s) = [K_m.K_a]/[s(sL_f + R_f)(sJ + f) + K_m.K_a.K_t]

The problem set solution that you provided has the correct transfer function.

*****************

I agree (Chris Rose)

From crose@mogli.rutgers.edu Thu Nov 14 13:42:42 1996
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Date: Thu, 14 Nov 96 13:55:13 EST
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9611141855.AA07432@mogli>
To: ece501@MOGLI.rutgers.edu
Subject: The Nasty Book
Cc: crose@MOGLI.rutgers.edu
Status: R


Hi Folks,

I've checked and rechecked the solutions for the Wily Rotating Book.
We correctly derived the energy in an inertial frame

	E = 0.5m(vx^2 + vy^2 + vz^2)

summed over the eight bodies which make up the block.  And we
correctly derived the corresponding differential equations, fixed
points and linearization.  If you remember, the problem was that the
book should have been unstable any time d>h, but we know from
experiment that w comes into play as well.

I've checked the equations numerically too, just in case there was
some funny second order effect that squeaks in (like you need to be
REALLY CLOS to the stationary point and with experiment we might have
been way off).  NO GO!  The equations are stable for d<h no matter
what w is.


So there's either something subtly wrong with the modeling or there's
something wrong with how I applied the Lagrangian.  My guess is it's
the latter since I've had similar problems once before in non-inertial
frames.  I'll keep plugging and let you know what happens.

For now, however, we must leave the Wily Rotating Book behind with a
single annoyed backward glance so that we can concentrate on
stability.  I'll expect you to have read through Lyapunov tonite.

>From stability we go into controllability and observability which will
take us into the final exam.

Cheers,

Chris Rose

PS: Of course, I'll be banging my head against this one for some time
to come until I figure out what's wrong.  Yes, I could just consult a
text somewhere, or yes I could ask a mechanical engineer.  But I think
it's better to macho (or machette if you're a woman :) out these sorts
of things.  For those unfamiliar with the "macho" idiom, it means to
do the stereotypical male thing when confronted with an adversary:
bash repeatedly until you or it drops dead.  As has oft been said, "If
it don't kill you, it makes you stronger!"  :) :) :)



From crose Tue Nov 26 19:48:39 1996
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Date: Tue, 26 Nov 96 19:45:13 EST
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9611270045.AA18718@MOGLI.rutgers.edu>
To: ece501
Subject: mea culpa
Status: R


Hi Folks,

I defined v incorrectly this past class (tuesday before turkeyday).
I'm not sure whether I miswrote in the previous class as well.  Just
in case, however, here's the correct form....


				FIRST

x(t1) = phi(t1,t0)x0 + regular old convolution integral with a leading 
phi(t1,tau) as expected.

			NOW HERE'S THE TWIST!

We define v as,

	v = phi(t0,t1) [x(t1) - phi(t1,t0)x0 ] = phi(t0,t1)x(t1) - x0
=
phi(t0,t1) (regular old convolution integral with leading phi(t1,tau) )
=
(convolution integral with leading phi(t0,tau) because phi(t0,t1)phi(t1,tau) = phi(t0,tau) )

This gets you the distinctive controllability gramian form.  Please
check thursday's (11/21) notes for this error and correct if
necessary.

We would have had time on tuesday to catch and correct the error, but
since we've got to rush a little to finish what we need to know by the
end of the term we couldn't.  Sorry for the confusion.  Thank goodness
for email!

Cheers, and again, happy holidays!

Chris Rose

From crose Tue Nov 26 23:25:56 1996
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Date: Tue, 26 Nov 96 23:21:43 EST
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9611270421.AA18951@MOGLI.rutgers.edu>
To: ece501
Subject: final exam
Status: R

Hi Folks,

Here's the 330:501 final examination information:

DATE:  Tuesday, December 17, 1996
TIME:  8pm-11pm
PLACE: SEC-205 and SEC-208  (yes, two rooms)


We'll have a proctor so there should be no problem with the splitting
up.  I requested two rooms because I felt it would be cramped with
just one.  We'll see how it goes.  Maybe the rooms are bigger than
I think.

Cheers,

Chris Rose

From crose Tue Nov 26 23:25:56 1996
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Date: Tue, 26 Nov 96 23:21:43 EST
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9611270421.AA18951@MOGLI.rutgers.edu>
To: ece501
Subject: final exam
Status: RO

Hi Folks,

Here's the 330:501 final examination information:

DATE:  Tuesday, December 17, 1996
TIME:  8pm-11pm
PLACE: SEC-205 and SEC-208  (yes, two rooms)


We'll have a proctor so there should be no problem with the splitting
up.  I requested two rooms because I felt it would be cramped with
just one.  We'll see how it goes.  Maybe the rooms are bigger than
I think.

Cheers,

Chris Rose

From crose Fri Dec  6 12:48:10 1996
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Date: Fri, 6 Dec 96 12:45:29 EST
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9612061745.AA00525@MOGLI.rutgers.edu>
To: ece501
Subject: update
Status: R


A student has already gotten $2.. that's enough for lunch!

All future error postings must be submitted to the course mailing list
to receive credit.  That way EVERYONE gains from your observation
and not just the cash recipient...

Cheers

From crose Fri Dec  6 17:46:16 1996
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Date: Fri, 6 Dec 96 17:43:14 EST
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9612062243.AA00966@MOGLI.rutgers.edu>
To: ece501
Subject: problems
Status: RO


Hi Folks,  If you've posted solution corrections to me either via email
or verbally and I've aggreed with your suggestion, could you please
post the correction to the mailing group... well just post
the problem which needed to have a corrected solution.

That'll help me a lot (and everyone else as well).

Cheers All!

From crose@mogli.rutgers.edu Sun Dec  8 12:15:47 1996
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	id AA02552; Sun, 8 Dec 96 12:12:16 EST
Full-Name: Christopher Rose
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	id AA05501; Sun, 8 Dec 96 12:04:24 EST
Date: Sun, 8 Dec 96 12:04:24 EST
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9612081704.AA05501@mogli>
To: ece501@MOGLI.rutgers.edu
Subject: Throwing the Book
Status: R


Hi Folks, Here's a question and answer on the infamous rotating book
problem.  SYNOPSIS: we ignored an axis of rotation and that made the
modeling wrong.

				QUESTION


I don't know whether the book problem was clarified, or not, so that's why
I'm writing directly to you. If you agree with my opinion, feel free to post
my message on the list.

So, the final conclusion that I have in my notes, is that:

for h < d => alpha > 0 => unstable trajectory
for h > d => alpha < 0 => stable trajectory

(We have liniarized about a fixed trajetory phi = Omega t, which means
constant rotation about x axis).

If you take a look at the solution, with the book in your hand, and the
figure in front of you, you'll see that everything is OK:

h < d means the book in the position below:

         / ---------------------------/
       /                            /  |
     /                            /   /
   /                            /   / 
 /----------------------------/   / 2d
 |2h          /              |  /
 |----------/----------------|/
          /    2w
        /
      /x-axis

Rotation about x-axis won't be stable, and this is the real case, isn't it?

h > d means the book in the position below:
   
   / -------------------------- /  
 /----------------------------/ | 
 |                           |  |
 |                           |  |
 |                           |  |
 |2h            /            |  |
 |            /              |  |
 |          /                |  |
 |        /                  |  /
 |------/--------------------|/2d
      /    2w
    /  
  / x-axis


In this case, rotation about x-axis will be stable, exactly like in the real
situation.


So, there was no problem with the results, only that we didn't look correctly
at our pictures.

P.S. If I am wrong, please let me know where am I wrong.  


			MY ANSWER

Hi

What you've written (laboriously with ascii... what dedication!)  is
completely correct.  The problem comes in when you make w < d in your
first picture.  The rotation is physically stable, but our equations
say that it's not.

The error was an oversimplification.  We ignored the third axis of
rotation.  TRY THIS: get a pencil and place it between the book pages
so that it's sticking out of the right end (in your first picture).
You'll need rubber bands to hold it in place as usual.




         / ---------------------------/
       /                            /  |
     /                            /   /
   /                            / ********************   Pencil
 /----------------------------/   / 2d
 |2h          /              |  /
 |----------/----------------|/
          /    2w
        /
      /x-axis



Then toss the book (place the eraser side out by the way so you don't
skewer yourself) and rotate it about the unstable consifiguration
(again your first picture).  From our modeling, the pencil should
never stray ourside a vertical disk.  When you do the experiment,
you'll notice that the pencil wags side to side -----> which implies
rotation about an axis we did not model... oh well.

I've yet to find a simple way to model this problem which takes
into account the effect of w.  That is, it's even more complicated
than what we did in class.

Maybe a direct linearization would work.

Cheers,

Chris Rose




From cripop@ece.rutgers.edu Tue Dec 10 12:10:07 1996
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From: Dimitrie Popescu <cripop@ece.rutgers.edu>
Message-Id: <199612101702.MAA25823@zen.rutgers.edu>
Subject: stability of time varying systems
To: ece501@mogli.rutgers.edu
Date: Tue, 10 Dec 1996 12:01:56 -0500 (EST)
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Status: RO


We haven't discussed to much about stability of time-varying systems in the
lecture, and this subject is also briefly discussed in the textbook.

What I have noticed from the problem sets, and can also be obtained from the zero input response of such a system, is that it is stable if its transition matrix Phi(t,t0) is a contraction. In this case, if we start "near" an equilibrium point |x0 - x bar| < eps => |x(t) - x bar| = |Phi(t,t0)x0 - x bar| < eps1, with    eps1 < eps since Phi(t,t0) is a contraction.

Dr. Rose, please comment what I've stated above.

Dimitrie



From crose Tue Dec 10 14:06:20 1996
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Date: Tue, 10 Dec 96 14:01:44 EST
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9612101901.AA05095@MOGLI.rutgers.edu>
To: cripop@ece.rutgers.edu, ece501@mogli.rutgers.edu
Subject: Re:  stability of time varying systems
Status: RO

Exactly correct.  If Phi is a contraction, then with zero input
you have no choice but for global assymptotic stability. A way to see
it from your questions is

Phi(t,t0) xbar = xbar (because that's the fixed point)

Thus

x(t) - x bar  = Phi(t,t0)x0 - xbar = Phi(t,t0)(x0-xbar).  Call y(t) = x(t) - xbar
and you have

y(t) = Phi(t,t0)y0

Phi a contraction means  ||y(t)|| <= ||y0|| which implies the assumptotic
condition.

Cheers,

Chris Rose

From crose Tue Dec 10 17:25:39 1996
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Date: Tue, 10 Dec 96 17:22:13 EST
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9612102222.AA05494@MOGLI.rutgers.edu>
To: ece501
Subject: URGENT!!!!!
Status: R


The time has been changed from that published
for the final examination.  Same rooms (sec 205 & 208)
but the exam starts at 7PM (NOT 8pm)!!!!!!!!!!

Spread the word!

From crose Tue Dec 10 22:08:47 1996
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Date: Tue, 10 Dec 96 22:06:46 EST
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9612110306.AA05691@MOGLI.rutgers.edu>
To: grieco@EEYORE.ira.rl.af.mil
Subject: Re: Reminder- 330:501 FInal
Cc: ece501
Status: R

7pm is the time.  Not sure about why you got
the other..... I'll check

ONce again  7pm is the time on Tuesday dec 17
Room SEC 205 and 208!!!

IGNORE ANYTHING ELSE!!!!!


From busha@eden.rutgers.edu Wed Dec 11 14:10:34 1996
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Date: Wed, 11 Dec 96 14:05:21 EST
From: Brett Bu Sha <busha@eden.rutgers.edu>
To: Christopher Rose <crose@MOGLI.rutgers.edu>
Subject: Re: today?
In-Reply-To: Your message of Tue, 12 Nov 96 12:28:39 EST
Message-Id: <CMM-RU.1.5.850331121.busha@er5.rutgers.edu>
Status: R

Prof,

	Help me please, I've forgotten the formal definition of a singular or
non-singular matrix, and there are no linear alg. books here.  

Brett

PS  If you so desire, I'ld like to be enlightened into the positive-definate,
semi-definate, negative definate thing.

Thanks again

From busha@eden.rutgers.edu Wed Dec 11 14:10:34 1996
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Date: Wed, 11 Dec 96 14:05:21 EST
From: Brett Bu Sha <busha@eden.rutgers.edu>
To: Christopher Rose <crose@MOGLI.rutgers.edu>
Subject: Re: today?
In-Reply-To: Your message of Tue, 12 Nov 96 12:28:39 EST
Message-Id: <CMM-RU.1.5.850331121.busha@er5.rutgers.edu>
Status: R

Prof,

	Help me please, I've forgotten the formal definition of a singular or
non-singular matrix, and there are no linear alg. books here.  

Brett

PS  If you so desire, I'ld like to be enlightened into the positive-definate,
semi-definate, negative definate thing.

Thanks again

From crose Wed Dec 11 19:06:34 1996
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Date: Wed, 11 Dec 96 19:04:25 EST
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9612120004.AA06945@MOGLI.rutgers.edu>
To: busha@eden.rutgers.edu
Subject: Re: today?
Cc: ece501@MOGLI.rutgers.edu
Status: R

Prof,

        Help me please, I've forgotten the formal definition of a singular or
non-singular matrix, and there are no linear alg. books here.  
 
Brett

PS  If you so desire, I'ld like to be enlightened into the positive-definate,
semi-definate, negative definate thing.
 
Thanks again

***********************


Singular matrix has at least one zero eigenvalue and is therefore uninvertible.
Zero eigenvalue also implies that the rows (or columns) are not linearly
independent.

Nonsingular matrix has all rows (columns) linearly indep and therefore
no zero eigenvalues

Positive definite applies to only
symmetric matrices all of whose eigenvalues are positive.  For
a positivie definite matrix Q we have x^T Q x > 0 for all possible
x except x=0.

Semidefinite implies that there might be a nonzero x such that
x^TQx = 0  (which in turn implies that one of the eigenvalues
must be zero).

Cheers

From crose@mogli.rutgers.edu Thu Dec 12 01:45:21 1996
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	id AA09891; Thu, 12 Dec 96 00:09:41 EST
Date: Thu, 12 Dec 96 00:09:41 EST
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9612120509.AA09891@mogli>
To: ece501@MOGLI.rutgers.edu
Subject: hi
Status: R


Hi Folks,

I can be in the office (and available) for questions on Thursday from
about 5pm to 6pm or so.  However, I must get at least one solid email
request to be there beforehand.  I'd prefer using the mailing
list and email in general since it provides a record of our conclusions
for class consumption.  But I realize that face-2-face is sometimes
the only way.

However, I will FROWN!!!! upon questions asked during office hours
which could have easily been asked via email !!!! :)

Study hard!

Cheers



PS:  Ricardo has been mumbling about a review session.
Pester him into giving one! :)

From ahmeda@MAILNET.ho.ATT.com Thu Dec 12 12:39:35 1996
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Original-From: "Abdelgany, Ahmed" <ahmeda@MAILNET.ho.ATT.com>
To: "'ece501@mogli.rutgers.edu'" <ece501@mogli.rutgers.edu>
Subject: RE: Symm Matrix
Date: Thu, 12 Dec 1996 12:30:49 -0500
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Status: R

Regarding your question about a symmetric matrics, Let me give it a shot
A symmetric matrix is equal to its transpose, e.g., 

		|a   b|
		|b   c|
this is a symmetric matrix.  The matrix has to be square, and has the
property that its entries are mirror images of each other, i.e., a(ij) =
a(ji).

The inverse of the matrix (if it exists) is also symmterical

now, since the matrix is equal to its transpose, the product of the two
is the square of the matrix, as can be seen in the equation below.  

Ahmed A.


>----------
>From: 	bsolanki@apollo.rutgers.edu[SMTP:bsolanki@apollo.rutgers.edu]
>Sent: 	Thursday, December 12, 1996 11:59 AM
>To: 	ece501@mogli.rutgers.edu
>
>
>
>        a toss up question for anyone....
>
>        what constitutes a symmetric matrix? and what are its properties??
>and why are we able to say something like
>
>vTphi(to,tau)B(tau)BT(tau)PhiT(to,tau)v = ||BT(tau)PhiT(to,tau)v||2^2
>(pg.208)
>
>
>	thanks
>
>	Bindu
>

From ralf@ece.rutgers.edu Thu Dec 12 17:43:12 1996
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Date: Thu, 12 Dec 1996 17:33:44 -0500
From: Ricardo Losada <ralf@ece.rutgers.edu>
Message-Id: <199612122233.RAA02207@zen.rutgers.edu>
To: ece501@mogli.rutgers.edu
Subject: review
Status: R

What's up people,
Dr. Rose has asked me to give a review session for the course,
the review will be on controllabillity, observabillity and
stabillity. I plan to bring in my own worked out examples,
and try to help anyone who has questions, the session would
have to be tomorrow (friday 13), at a time and placed to
be determined democratically. So please send your suggestions,
etc. so we can set somenthing up, also at least one person
must show interest in this so please at least one respond this 
email. I'll check later and throughout the day tomorrow for
emails on this. 
Best luck,
Ricardo.

From crose Thu Dec 12 20:06:31 1996
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From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9612130103.AA08306@MOGLI.rutgers.edu>
To: ece501
Subject: question
Status: R

This from a student...


Could you give us some more problems, that look like those that we will receive in the exam? Almost all the problems from the textbook are of the type "plug and chug", unlike the exam problems. 

You've threatened us with optimal control, but the only problem that we have is the "turkey problem" in PS8. (By the way, I've tried to find a more rigurous solution to it, using partial derivatives of w(10) -the final weight of the turkey- with respect to u(t), t = 0,1,...,9 and the initial constraint for the input, that is SUM from t=0 to 9 u(t) = 10. It involves a lot of work, and actually the hypothesis that u(t) is also an nonnegative integer simplifies a lot.)

*****************
I am sorry to say that I don't have time to make up new problems
with solutions (other than for the final).  What I'd suggest is
to look hard at this year's midterm and last year's final
to get a feel for the style of question I like to ask.

I'll be concentrating on the latter partof the course
(stability controllability observability) but anything
is fair game... know something about metric spaces.

I might also hit you with some Fourier transform stuff
since it's very much like the laplace.  In short, I'l
be asking you to extend yourselves somewhat and apply
what you know (on some of the problems... not all).

Once again, sorry I can't be more accommodating, but
time constraints have me tied to my desk doing
tasks that are at least 1 month old (late).

Cheers,

Chris Rose


From crose@qbeast.rutgers.edu Thu Dec 12 21:11:20 1996
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From: crose@qbeast.rutgers.edu (Christopher Rose)
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To: ece501@boom
Subject: question
Cc: `@qbeast.rutgers.edu
Status: R




Prof Rose,
I have a very basic question.
Why when we talk about Linear Time Invariant systems
we relate primal with dual, in opposite to adjoint (in the 
controllability/observability relation) ?

*************

We could in principle use either for the LTI,
but the dual is easier to remember (no pesky - sign).

In general however, we need the adjoint...

From crose@mogli.rutgers.edu Fri Dec 13 05:11:57 1996
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From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9612130456.AA10818@mogli>
To: ece501@MOGLI.rutgers.edu
Subject: example 2.5
Cc: crose@MOGLI.rutgers.edu
Status: R


Try writing out the differential equations in x_1 and x_2.
Solve the equation in x_2 first.  Then you can solve teh
equation in x_1. Then use your knowledge of transition 
matrix properties, in particular the construction of section 2.1.2,
to get the transition matrix shown.

Cheers

From crose@mogli.rutgers.edu Fri Dec 13 11:44:35 1996
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Date: Fri, 13 Dec 96 11:14:32 EST
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9612131614.AA11052@mogli>
To: busha@eden.rutgers.edu
Subject: Re: today?
Cc: ece501@MOGLI.rutgers.edu
Status: R

Jordan form:

Used when eigenvalues are repeated AND there are not enough corresponding
eigenvectors.  Consider the matrix
1 1
0 1
Find the evals and then try to find the associated eigenvectors... you'll only
be able to find 1.  This particular matrix is already in jordan form.

I don't like your use of "transforms" to a non-singular matrix.  The Jordan
form can still be singlular, in fact WILL be singular if the
matrix from which it's derived is singular (has zero eigenvalues).  The Jordan
form has to do with missing eigenvectors, not specific eigenvalues.


Stability:

0 is the stationary point.  You can always translate the state variable to be
centered on an equilibrium point by finding the equilibrium point xbar
and then forming the new state variable x-xbar.  (this comment refers to the
figure on page 168 of the text).

Cheers

Chris Rose

From crose Fri Dec 13 13:30:13 1996
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From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9612131830.AA09074@MOGLI.rutgers.edu>
To: cripop@ece.rutgers.edu
Subject: Re:  problem 14 / pag. 264
Cc: crose
Status: R

Basically ok,

The way I look at it is that if you know u(t), you can reform y(t)
to get ytilde(t) = y(t) - Du.  Now everything is as it was before.


From crose@mogli.rutgers.edu Sat Dec 14 12:12:07 1996
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From: crose@mogli.rutgers.edu (Christopher Rose)
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To: mae@ece.rutgers.edu
Subject: Re: today?
Cc: crose@MOGLI.rutgers.edu
Status: R

Semi def implies that at least one eigenvalue is zero.
If any eigenvalue is zero, the matrix is singular.

Cheers

From crose@mogli.rutgers.edu Sat Dec 14 12:12:08 1996
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From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9612141654.AA11785@mogli>
To: mae@ece.rutgers.edu
Subject: Re:  ps 6 p.1,2
Cc: crose@MOGLI.rutgers.edu
Status: R

The drive input is not necessarily unique.

And no, uniqueness of the input has nothing to do with
general observability.  For observability, you observe the output
and the input.  So you'd know exactly what the input was.

You might want to study the concepts as laid out in the book
a little more closely.  GOOD LUCK!

As for the solutions to two problems... I'm not sure which two problems you mean
so I'm at a loss.

Cheers

From crose Sat Dec 14 18:08:24 1996
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From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9612142308.AA10442@MOGLI.rutgers.edu>
To: yufeng@caip.rutgers.edu
Subject: The stuff
Cc: crose@MOGLI.rutgers.edu
Status: R


The stuff we did not cover (section 4.2.2 only) will not be on the
exam.  What else did you think we did not cover?

Cheers



From mae@ece.rutgers.edu Sat Dec 14 19:30:43 1996
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Date: Sat, 14 Dec 1996 19:24:22 -0500
From: Hideki Mae <mae@ece.rutgers.edu>
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To: crose@mogli.rutgers.edu
Subject: Re:  ps 6 p.1,2
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Status: R

On Ch.4 progb.2 you found the transition matrix to see if it was stable or not.
THe same conclusion can be reached by finding the eig.values.  Since the eig.vals were
positive Re(lambda) > 0, the system is unstable.  Is there any reason why you found
the transition matrix rather than finding the eig.values?  I guess a better way to
phrase this question is: is there any restriction on when to use thm 4.5?  FOr
example on Ch.4 prob.1 the eig. val. depend on varibale t, can I use thm 4.5 on
this prob?  

From crose Sat Dec 14 20:38:49 1996
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From: Christopher Rose <crose>
Full-Name: Christopher Rose
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To: ece501
Subject: problem 2 chapter 4
Status: R


QUESTION:

On Ch.4 progb.2 you found the transition matrix to see if it was
stable or not.  THe same conclusion can be reached by finding the
eig.values.  Since the eig.vals were positive Re(lambda) > 0, the
system is unstable.  Is there any reason why you found the transition
matrix rather than finding the eig.values?  I guess a better way to
phrase this question is: is there any restriction on when to use thm
4.5?  FOr example on Ch.4 prob.1 the eig. val. depend on varibale t,
can I use thm 4.5 on this prob?

ANSWER:

The eigenvalue method could have been used as well since the system is
LTI.  I believe the reason the transition matrix was used was because
it was derived in a previous problem.

BUT, you have to be careful with theorem 4.5 since not all systems
which DON'T satisfy the theorem are unstable.

That is, there are systems with repeated eigenvalues with real part 0
(or magnitude 1 for discrete time) that are stable (but don't satisfy
theorem 4.5 because they've got repeated eigenvalues).


Cheers,

PS TO EVERYONE: Please post all questions to the group no matter how
silly you think they are.  Also if you think you have an answer
to a question, please post.  If there's a problem with your answer
I'll let the group know.

From cripop@ece.rutgers.edu Sun Dec 15 10:07:54 1996
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From: Dimitrie Popescu <cripop@ece.rutgers.edu>
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Dear dr. Rose,

In your answer regarding problem 2 / chapter 4 you have stated the following:
------------------------------------------------------------------------------
BUT, you have to be careful with theorem 4.5 since not all systems
which DON'T satisfy the theorem are unstable.

That is, there are systems with repeated eigenvalues with real part 0
(or magnitude 1 for discrete time) that are stable (but don't satisfy
theorem 4.5 because they've got repeated eigenvalues).
_____________________________________________________________________________

Could you please give us an example of a system that has repetead eigenvalues
with real part = 0 (continuous time) or magnitude = 1 (discrete time) and 
which is still stable? (I mean some other system than the trivial ones with
A=0 (all entries of matrix are zero) in the continuous time, or A=I identity
matrix in the discrete time.)

Dimitrie



From hatangad@ece.rutgers.edu Sun Dec 15 11:41:53 1996
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From: Sonya Hatangadi <hatangad@ece.rutgers.edu>
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To: crose@mogli.rutgers.edu
Cc: ece501@mogli.rutgers.edu
Subject: Transfer functions
Content-Length: 272
Status: R

Prof. Rose,

During the lecture you had said that in a series combination
of systems , the transfer function was H2(s)H1(s) and the
order mattered. Since H(s) is a polynomial , H2(s)H1(s) should
be the same as H1(s)H2(s).
                                           Sonya.

From fam@ece.rutgers.edu Sun Dec 15 13:42:03 1996
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Date: Sun, 15 Dec 96 13:33:44 EST
From: David Famolari <fam@ece.rutgers.edu>
To: ece501@mogli.rutgers.edu
Subject: example of nontrivial repeated 0 eignevalues
Message-Id: <CMM-RU.1.5.850674824.fam@ece.rutgers.edu>
Status: R

Here is what I think is a non trivial example of a system matrix with 
a 0 repeated eigenvalue that is still stable.
	0 1 5 
    A=  0 0 1
	0 0 5

It has an eigenvalue of 0 with multiplicity of 2.  But it's jordan
form will only contain jordan blocks of maximum size 1.  Because
the dimension of the Nullspace of A-0I = dimension of the Nullspace
of A = 1.  So the maximum size of a simple Jordan block for the eigenvalue
= 0 is 1 and thus the system is stable.  Please correct me if I'm wrong.
thanks
dave





From fam@ece.rutgers.edu Sun Dec 15 13:50:01 1996
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Date: Sun, 15 Dec 1996 13:40:33 -0500
From: David Famolari <fam@ece.rutgers.edu>
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To: ece501@mogli.rutgers.edu
Subject: Eigenvectors for Jordan form?
Content-Length: 142
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Prof. Rose,
	Would expect us to be able to find the generalized eigenvectors 
for the Jordan form?  Or will finding J be enough? 
thanks
dave

From crose@mogli.rutgers.edu Sun Dec 15 15:42:19 1996
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From: crose@mogli.rutgers.edu (Christopher Rose)
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To: cripop@ece.rutgers.edu
Subject: others
Cc: crose@MOGLI.rutgers.edu
Status: R


Any similarity transform of a diagonal matrix with repeated
eigenvalues on the diagonal (with Re=0 or mag 1).

From crose@mogli.rutgers.edu Sun Dec 15 15:42:21 1996
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From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9612151923.AA12754@mogli>
To: hatangad@ece.rutgers.edu
Subject: Re:  Transfer functions
Cc: crose@MOGLI.rutgers.edu
Status: R

Nope, H(s) is a MATRIX in general so order does matter.


From mae@ece.rutgers.edu Sun Dec 15 15:46:47 1996
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Date: Sun, 15 Dec 1996 15:38:24 -0500
From: Hideki Mae <mae@ece.rutgers.edu>
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WHy is the transition mtrix for ps3 ch.2 prob.2 different from ps4 ch.3 prob.1?
By solving the diff.eq. the ps3 soln seem accurate.

From fam@ece.rutgers.edu Sun Dec 15 16:30:59 1996
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From: David Famolari <fam@ece.rutgers.edu>
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I think the transition matrices for chap.2 prob 2 and chap.3 prob.1 are the 
same, just that in chap2 prob2 the intial condition is explicity to=1 and in
chap3 prob1 no such condition is given.

From hatangad@ece.rutgers.edu Sun Dec 15 16:50:56 1996
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From: Sonya Hatangadi <hatangad@ece.rutgers.edu>
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To: crose@MOGLI.rutgers.edu
Cc: ece510@MOGLI.rutgers.edu
Subject: Controllability
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Prof. Rose,

Theorem 5.1 is a little misleading when it talks about an 
arbitrary state x1. I think it should say arbitrary state x1
in the range space of matrix W(t0, t1). For example, in a 
system where the state variables are dependent on each other,
it is not possible to push the system to a state where the
state variables are independent of each other. So complete
controllability is when we can find an input to transfer
the system between any two pints in the permissible state space.

Is this correct?

                        Sonya.

From Mailer-Daemon@MOGLI.rutgers.edu Sun Dec 15 21:34:42 1996
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   ----- Transcript of session follows -----
421 eden: Connection refused by eden
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From: crose@qbeast.rutgers.edu (Christopher Rose)
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To: ece501@boom
Subject: question
Cc: `




Prof Rose,
I have a very basic question.
Why when we talk about Linear Time Invariant systems
we relate primal with dual, in opposite to adjoint (in the 
controllability/observability relation) ?

*************

We could in principle use either for the LTI,
but the dual is easier to remember (no pesky - sign).

In general however, we need the adjoint...

From Mailer-Daemon Sun Dec 15 22:29:38 1996
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   ----- Transcript of session follows -----
421 eden: Connection refused by eden
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From: crose (Christopher Rose)
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To: ece501
Subject: question from student about example


QUestion about example 2.5.  Anybody care to take
a whack at this?

*************
Hi, Dr. Rose:

Could you explain how they got the transition matrix of Example 2.5 on the book?  For me, it looks so 'non-unique'.


From chanac@eden.rutgers.edu Sun Dec 15 23:11:47 1996
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Dr Rose,
I have several questions when I review the HW. May you answer my questions?

- about the BIBO stability
	Chapter 4 prb 18 & 19, in soln, it said the eigenvalues of Matrixes are
in LHP then we have BIBO.  What's  LHP, and also is this  the other method to
check the BIBO beside to use  
integral  from t0 to tau of  |tij(t,tau) dtau ? 
- pos definite
	What is pos definite? 
- chapter 4 prob 17,
	How they find the Routh Array? I didn't see any Routh Array in your
note and textbook? 
- In pop quiz prob 4(b)
	They given y=[1,0,1]x , and ask u(t) and y(t) on [t0,t1] can x(t0) be
uniquely determined? and in you answer said  because observability matrix is
full rank so, x(t0) can be determined. So is that mean when the system
observable , x(t0)  can be uniquely determined?
- In Final exam
	Prob1. you ask the transition matrix is valid or not, is it use  the
properties of transition matrix to test them? if all 5 properties are satisfy,
then transition matrix valid, if not than its not valid?
- Do you have solution of the Final exam of 95?  so I can check the answer

Thanks

Angela Chan

From crose@mogli.rutgers.edu Mon Dec 16 01:42:58 1996
Return-Path: <crose@mogli.rutgers.edu>
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	id AA11813; Mon, 16 Dec 96 01:42:58 EST
Full-Name: Christopher Rose
Received: by mogli (4.1/SMI-4.1)
	id AA13021; Mon, 16 Dec 96 01:13:26 EST
Date: Mon, 16 Dec 96 01:13:26 EST
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9612160613.AA13021@mogli>
To: ece501@mogli.rutgers.edu, mae@ece.rutgers.edu
Subject: 4.1 and 2.2 (problems)
Cc: crose@MOGLI.rutgers.edu
Status: R


One solution is general the other is for a specific t_0 (problem 2.2
has t_0 = 1 whereas problem 3.1 specifies no particular t_0.

From crose@mogli.rutgers.edu Mon Dec 16 01:43:08 1996
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	id AA11847; Mon, 16 Dec 96 01:43:08 EST
Full-Name: Christopher Rose
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	id AA13049; Mon, 16 Dec 96 01:25:49 EST
Date: Mon, 16 Dec 96 01:25:49 EST
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9612160625.AA13049@mogli>
To: ece501@mogli.rutgers.edu, fam@ece.rutgers.edu
Subject: Re:  example of nontrivial repeated 0 eignevalues
Cc: crose@MOGLI.rutgers.edu
Status: R

Get rid of the 1 in the first row and I believe you.
As your example stands, it's missing an eigenvector
for the eigenvalue 0 (can only find one regular eigenvector
for eigenvalue 0).  Without the 1 in the first row
there are two independent eigenvectors for eigenvalue
zero.

Cheers

***********************ORIGINAL QUESTION***********************

Here is what I think is a non trivial example of a system matrix with 
a 0 repeated eigenvalue that is still stable.
        0 1 5 
    A=  0 0 1
        0 0 5

It has an eigenvalue of 0 with multiplicity of 2.  But it's jordan
form will only contain jordan blocks of maximum size 1.  Because
the dimension of the Nullspace of A-0I = dimension of the Nullspace
of A = 1.  So the maximum size of a simple Jordan block for the eigenvalue
= 0 is 1 and thus the system is stable.  Please correct me if I'm wrong.
thanks
dave



From crose@mogli.rutgers.edu Mon Dec 16 01:46:17 1996
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	id AA11852; Mon, 16 Dec 96 01:43:09 EST
Full-Name: Christopher Rose
Received: by mogli (4.1/SMI-4.1)
	id AA13083; Mon, 16 Dec 96 01:38:34 EST
Date: Mon, 16 Dec 96 01:38:34 EST
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9612160638.AA13083@mogli>
To: chanac@eden.rutgers.edu
Subject: Re:  Questions
Cc: ece501@MOGLI.rutgers.edu
Status: R

QUESTION:

Dr Rose,
I have several questions when I review the HW. May you answer my questions?

- about the BIBO stability
        Chapter 4 prb 18 & 19, in soln, it said the eigenvalues of Matrixes are
in LHP then we have BIBO.  What's  LHP, and also is this  the other method to
check the BIBO beside to use  
integral  from t0 to tau of  |tij(t,tau) dtau ? 
- pos definite
        What is pos definite? 
- chapter 4 prob 17,
        How they find the Routh Array? I didn't see any Routh Array in your
note and textbook? 
- In pop quiz prob 4(b)
        They given y=[1,0,1]x , and ask u(t) and y(t) on [t0,t1] can x(t0) be
uniquely determined? and in you answer said  because observability matrix is
full rank so, x(t0) can be determined. So is that mean when the system
observable , x(t0)  can be uniquely determined?
- In Final exam
        Prob1. you ask the transition matrix is valid or not, is it use  the
properties of transition matrix to test them? if all 5 properties are satisfy,
then transition matrix valid, if not than its not valid?
- Do you have solution of the Final exam of 95?  so I can check the answer

Thanks

Angela Chan


ANSWERS:

1) there's a theorem which says that if all the eigenvalues have
real parts <0 then the LTI system is BIBO stable (theorem 4.13...
asked you guys to read this one since we did not have time
to prove it in class).

Basic proof is that the transition matrix must have terms of
the form At^k e^(lambda t) and if all the lambdas have real
part <0 then Theorem 4.11 can be easily applied (same goes
for discrete with appropriate modifications).

2) The left half plane (LHP) is the left side of the
eigenvalue complex plane. The poles of a system are its
eigenvalues (roots of the characteristic polynomial)

3) A positive definite matrix is a symmetric real matrix
all of whose eigenvalues are positive.  This also means
that x^T Qx > 0 for a pos def matrix Q for any vector x
that is not identically zero.

4) We did not cover the Routh array, though it's
referred to.  Use the Hurwitz determinants.

5) I think you need to reread the observability chapter
and look over the notes if I understand your question
correctly.  Observability means that given the input
and the output over some interval, the state
at the begining of the interval can be uniquely
determined.

6) If I remember taht problem, it was pretty easy to check if
the transition matrix is valid (for a continous system).
It must always be invertible and must reduce to the identity
matrix at t=t_0.

7) No solutions to the final.  Ricardo MIGHT provide some, but frankly
I'd rather you simply worry about the solutions as opposed to having them
in front of you.  I think there's enough problems with solutions between this 
and last years' tests and problem sets.

Cheers


From crose@mogli.rutgers.edu Mon Dec 16 01:46:20 1996
Return-Path: <crose@mogli.rutgers.edu>
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	id AA11830; Mon, 16 Dec 96 01:43:02 EST
Full-Name: Christopher Rose
Received: by mogli (4.1/SMI-4.1)
	id AA13031; Mon, 16 Dec 96 01:15:59 EST
Date: Mon, 16 Dec 96 01:15:59 EST
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9612160615.AA13031@mogli>
To: ece501@MOGLI.rutgers.edu
Subject: mailing to ece501@ece
Status: R


Hi Folks,

Please remember NOT to mail anything to ece501@ECE.  That is
last year's mailing list and your message won't get to me
or anyone else in this semester's class.  You must
mail stuff to
ece501@MOGLI.rutgers.edu
or
ece501@BOOM.rutgers.edu

Cheers

From crose Mon Dec 16 01:51:46 1996
Return-Path: <crose>
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	id AA11877; Mon, 16 Dec 96 01:48:42 EST
Date: Mon, 16 Dec 96 01:48:42 EST
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9612160648.AA11877@MOGLI.rutgers.edu>
To: ece501
Subject: jordan form
Status: R


 
You will never be asked (by me)
to find the Jordan form of a matrix.  It will
suffice to know what the Jordan form is, when
it's used and how to calculate J^t or exp(Jt).
 

From crose Mon Dec 16 01:52:09 1996
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	id AA11880; Mon, 16 Dec 96 01:49:15 EST
Date: Mon, 16 Dec 96 01:49:15 EST
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9612160649.AA11880@MOGLI.rutgers.edu>
To: ece501
Subject: 4.1 and 2.2 (problems)
Status: R



One solution is general the other is for a specific t_0 (problem 2.2
has t_0 = 1 whereas problem 3.1 specifies no particular t_0.
 

From crose Mon Dec 16 01:53:22 1996
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	id AA11883; Mon, 16 Dec 96 01:50:24 EST
Date: Mon, 16 Dec 96 01:50:24 EST
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9612160650.AA11883@MOGLI.rutgers.edu>
To: ece501
Subject: example of nontrivial repeated 0 eigenvalues
Status: R



Get rid of the 1 in the first row and I believe you.
As your example stands, it's missing an eigenvector
for the eigenvalue 0 (can only find one regular eigenvector
for eigenvalue 0).  Without the 1 in the first row
there are two independent eigenvectors for eigenvalue
zero.

Cheers

***********************ORIGINAL QUESTION***********************
 
Here is what I think is a non trivial example of a system matrix with 
a 0 repeated eigenvalue that is still stable.
        0 1 5 
    A=  0 0 1
        0 0 5

It has an eigenvalue of 0 with multiplicity of 2.  But it's jordan
form will only contain jordan blocks of maximum size 1.  Because
the dimension of the Nullspace of A-0I = dimension of the Nullspace
of A = 1.  So the maximum size of a simple Jordan block for the eigenvalue
= 0 is 1 and thus the system is stable.  Please correct me if I'm wrong.
thanks
dave



From crose Mon Dec 16 01:55:18 1996
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	id AA11887; Mon, 16 Dec 96 01:51:07 EST
Date: Mon, 16 Dec 96 01:51:07 EST
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9612160651.AA11887@MOGLI.rutgers.edu>
To: ece501
Subject: controllability
Status: R


Nope, I don't think your argument is correct.  The point of 
theorem 5.1 is that iff W is nonsingular then you can get from
any x0 to any x1.  If the system has states such that
they are dependent (so you can never drive the system
to some states) then W must be singular.
 
Also, your "permissible statespace" is a funny sort of definition.
The statespace is R^n for a linear system (all of it).  That is,
unless there are singularities in the A(t), B(t) or C(t) matrices,
the solution to the diffeq is defined over R^n.  Once you say "permissible"
where the "permissible statespace is smaller than R^n, you're admitting 
uncontrollability.

Cheers
 
***********original question***************
Prof. Rose,
 
Theorem 5.1 is a little misleading when it talks about an 
arbitrary state x1. I think it should say arbitrary state x1
in the range space of matrix W(t0, t1). For example, in a 
system where the state variables are dependent on each other,
it is not possible to push the system to a state where the
state variables are independent of each other. So complete
controllability is when we can find an input to transfer
the system between any two pints in the permissible state space.
 
Is this correct?



From crose Mon Dec 16 01:56:28 1996
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Date: Mon, 16 Dec 96 01:52:14 EST
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9612160652.AA11894@MOGLI.rutgers.edu>
To: ece501
Subject: notes
Status: R


Hi Folks,

You'll be allowed 2 sheets of notes for the examination (handwritten,
both sides).

Cheers

From crose Mon Dec 16 01:57:15 1996
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Date: Mon, 16 Dec 96 01:53:03 EST
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9612160653.AA11903@MOGLI.rutgers.edu>
To: ece501
Status: R

>From crose@mogli.rutgers.edu Mon Dec 16 01:46:17 1996
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Full-Name: Christopher Rose
Received: by mogli (4.1/SMI-4.1)
	id AA13083; Mon, 16 Dec 96 01:38:34 EST
Date: Mon, 16 Dec 96 01:38:34 EST
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9612160638.AA13083@mogli>
To: chanac@eden.rutgers.edu
Subject: Re:  Questions
Cc: ece501@MOGLI.rutgers.edu
Status: RO

QUESTION:

Dr Rose,
I have several questions when I review the HW. May you answer my questions?

- about the BIBO stability
        Chapter 4 prb 18 & 19, in soln, it said the eigenvalues of Matrixes are
in LHP then we have BIBO.  What's  LHP, and also is this  the other method to
check the BIBO beside to use  
integral  from t0 to tau of  |tij(t,tau) dtau ? 
- pos definite
        What is pos definite? 
- chapter 4 prob 17,
        How they find the Routh Array? I didn't see any Routh Array in your
note and textbook? 
- In pop quiz prob 4(b)
        They given y=[1,0,1]x , and ask u(t) and y(t) on [t0,t1] can x(t0) be
uniquely determined? and in you answer said  because observability matrix is
full rank so, x(t0) can be determined. So is that mean when the system
observable , x(t0)  can be uniquely determined?
- In Final exam
        Prob1. you ask the transition matrix is valid or not, is it use  the
properties of transition matrix to test them? if all 5 properties are satisfy,
then transition matrix valid, if not than its not valid?
- Do you have solution of the Final exam of 95?  so I can check the answer

Thanks

Angela Chan


ANSWERS:

1) there's a theorem which says that if all the eigenvalues have
real parts <0 then the LTI system is BIBO stable (theorem 4.13...
asked you guys to read this one since we did not have time
to prove it in class).

Basic proof is that the transition matrix must have terms of
the form At^k e^(lambda t) and if all the lambdas have real
part <0 then Theorem 4.11 can be easily applied (same goes
for discrete with appropriate modifications).

2) The left half plane (LHP) is the left side of the
eigenvalue complex plane. The poles of a system are its
eigenvalues (roots of the characteristic polynomial)

3) A positive definite matrix is a symmetric real matrix
all of whose eigenvalues are positive.  This also means
that x^T Qx > 0 for a pos def matrix Q for any vector x
that is not identically zero.

4) We did not cover the Routh array, though it's
referred to.  Use the Hurwitz determinants.

5) I think you need to reread the observability chapter
and look over the notes if I understand your question
correctly.  Observability means that given the input
and the output over some interval, the state
at the begining of the interval can be uniquely
determined.

6) If I remember taht problem, it was pretty easy to check if
the transition matrix is valid (for a continous system).
It must always be invertible and must reduce to the identity
matrix at t=t_0.

7) No solutions to the final.  Ricardo MIGHT provide some, but frankly
I'd rather you simply worry about the solutions as opposed to having them
in front of you.  I think there's enough problems with solutions between this 
and last years' tests and problem sets.

Cheers



From whyuan@biomed.rutgers.edu Mon Dec 16 11:18:16 1996
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	id AA12193; Mon, 16 Dec 96 11:18:15 EST
Received: (from whyuan@localhost) by biomed.rutgers.edu (8.6.12+bestmx+oldruq+newsunq+grosshack/8.6.12) id KAA07653 for crose@mogli.rutgers.edu; Mon, 16 Dec 1996 10:59:31 -0500
Date: Mon, 16 Dec 1996 10:59:31 -0500
From: Weihong Yuan <whyuan@biomed.rutgers.edu>
Message-Id: <199612161559.KAA07653@biomed.rutgers.edu>
To: crose@mogli.rutgers.edu
Subject: Re:  mailing to ece501@ece
Status: R

Dr. Rose:

        Could you give me some suggestion on the last year's final,
problem 5 a, b, c. I know that if I want to check a Lyapunov Function,
I should check it's continuity, whether it is minimum at xbar and
its derevitive with respect to t. But in these three paticular problems.
what is x1,x2? Are they state variables? or are they differernt group
of solutions? 

      Another problem , normally how to look for a Lyapunov function?

thanks

weihong

From bsolanki@ece.rutgers.edu Mon Dec 16 11:44:07 1996
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Date: Mon, 16 Dec 96 11:33:53 EST
From: Bindu Solanki <bsolanki@ee.rutgers.edu>
To: ece501@mogli.rutgers.edu
Subject: final exam #4
Message-Id: <CMM-RU.1.3.850754033.bsolanki@ee.rutgers.edu>
Status: R


	how would i go about getting started to solve a problem like #4 on
last years final??? i guess i find it a bit difficult because there are no
numbers and just variables when we are considering the "B" matrix.... 

	thanks..

	Bindu

From crose@mogli.rutgers.edu Mon Dec 16 13:46:00 1996
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	id AA12356; Mon, 16 Dec 96 13:45:59 EST
Full-Name: Christopher Rose
Received: by mogli (4.1/SMI-4.1)
	id AA13385; Mon, 16 Dec 96 13:39:21 EST
Date: Mon, 16 Dec 96 13:39:21 EST
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9612161839.AA13385@mogli>
To: whyuan@biomed.rutgers.edu
Subject: Re:  mailing to ece501@ece
Cc: crose@MOGLI.rutgers.edu
Status: RO

The x_1 and x_2 are the states of the given system.  You'll need
to look at the properties of a Lyapunov function and figure out
whether they are or are not L-functions for the given system.

As for finding L-functions in general... that's hard... more or
an art form, so dont' worry too much about it.

CHeers,


From weicong@er7.rutgers.edu Mon Dec 16 13:35:03 1996
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Date: Mon, 16 Dec 1996 13:25:35 -0500 (EST)
From: Wang Weicong <weicong@er7.rutgers.edu>
To: Bindu Solanki <bsolanki@ee.rutgers.edu>
Cc: ece501@MOGLI.rutgers.edu
Subject: Re: final exam #4
In-Reply-To: <CMM-RU.1.3.850754033.bsolanki@ee.rutgers.edu>
Message-Id: <Pine.GSO.3.94.961216132034.21856A-100000@er7.rutgers.edu>
Mime-Version: 1.0
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Status: RO

I think the first question is much difficult. The other only use 
A=T*^*invert T
To the rank(B) problem, if rank = n, then try the Laplace transform, you
get the B invert. If B is n*m, the decompose B=B1*B2, B1 has n independent
rows while B2 has m independent m cols.

Wang Weicong	Rutgers, the State Univ. of New Jersey
L.P.O. 16293	P.O.Box 5064
New Brunswick	N.J. 08903
Tel:908-878-2734

On Mon, 16 Dec 1996, Bindu Solanki wrote:

> 
> 	how would i go about getting started to solve a problem like #4 on
> last years final??? i guess i find it a bit difficult because there are no
> numbers and just variables when we are considering the "B" matrix.... 
> 
> 	thanks..
> 
> 	Bindu
> 


From crose@mogli.rutgers.edu Mon Dec 16 13:50:07 1996
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Full-Name: Christopher Rose
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	id AA13390; Mon, 16 Dec 96 13:39:47 EST
Date: Mon, 16 Dec 96 13:39:47 EST
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9612161839.AA13390@mogli>
To: ece501@MOGLI.rutgers.edu
Subject: question
Status: RO


QUESTION



Dr. Rose:

        Could you give me some suggestion on the last year's final,
problem 5 a, b, c. I know that if I want to check a Lyapunov Function,
I should check it's continuity, whether it is minimum at xbar and
its derevitive with respect to t. But in these three paticular problems.
what is x1,x2? Are they state variables? or are they differernt group
of solutions? 

      Another problem , normally how to look for a Lyapunov function?

thanks

ANSWER:

 
The x_1 and x_2 are the states of the given system.  You'll need
to look at the properties of a Lyapunov function and figure out
whether they are or are not L-functions for the given system.

As for finding L-functions in general... that's hard... more or
an art form, so dont' worry too much about it.

CHeers,


From crose@mogli.rutgers.edu Mon Dec 16 14:44:21 1996
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	id AA12515; Mon, 16 Dec 96 14:40:45 EST
Full-Name: Christopher Rose
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	id AA13419; Mon, 16 Dec 96 13:45:39 EST
Date: Mon, 16 Dec 96 13:45:39 EST
From: crose@mogli.rutgers.edu (Christopher Rose)
Message-Id: <9612161845.AA13419@mogli>
To: bsolanki@ee.rutgers.edu
Subject: Re:  final exam #4
Cc: ece501@MOGLI.rutgers.edu
Status: R

You have to prove that any desired output form can be obtained.
The simplest way to go is through Laplace transforms.  Numbers
aren't necessary.

Cheers


From yufeng@caip.rutgers.edu Tue Dec 17 01:44:42 1996
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From: Yufeng Liang <yufeng@caip.rutgers.edu>
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Date: Tue, 17 Dec 1996 01:38:33 -0500 (EST)
Message-Id: <199612170638.BAA15146@caip.rutgers.edu>
To: crose@MOGLI.rutgers.edu
Status: R


Sorry for bugging you again. I found some other things that I don't agree with
on the "answer".

Problem5: a) V(x1) = 0 doesn't mean that V(x) can't be a Lyapunov function. Actually
              I think it is a Lyapunov function. It's continous, it has the min value
              x1=0, x2 = 0, from the transmittion function of the system we can know 
	      that dV/dt = (c1 * x1 - c2 * x2)^2 - c3* x2 ^ 2, where ci are positive
		real numbers. Then we have dV/dt <= 0. 

	b) Not a Lyapunov function b/c min value points are non-unique.


Yufeng

From hatangad@ece.rutgers.edu Tue Dec 17 09:49:26 1996
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From: Sonya Hatangadi <hatangad@ece.rutgers.edu>
Message-Id: <199612171440.JAA01726@ece.rutgers.edu>
To: crose@mogli.rutgers.edu
Cc: ece501@mogli.rutgers.edu
Subject: COntrollability
Content-Length: 422
Status: R

In the electrical circuit example that we worked on
in class (12/5/96), we said that the circuit was
controllable as the controllability matrix had full
rank. However, we concluded that since the state
variables V1 and V2 were related to each other, ie.

V1 = RC(dV2/dt) + V2

we could not take the system to a state where this
equation did not hold.

Is'nt this a contradiction?
                                   Sonya.

From crose Tue Dec 17 10:24:58 1996
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Date: Tue, 17 Dec 96 10:22:17 EST
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9612171522.AA13300@MOGLI.rutgers.edu>
To: hatangad@ece.rutgers.edu
Subject: Re:  COntrollability
Cc: ece501
Status: R

THe equation always holds.  What controllability says is that
the state (not the trajectory) can be taken to wherever you'd
like.  So there's not contradiction.

CHeers,


From crose Tue Dec 17 14:07:27 1996
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Date: Tue, 17 Dec 96 14:06:36 EST
From: Christopher Rose <crose>
Full-Name: Christopher Rose
Message-Id: <9612171906.AA13729@MOGLI.rutgers.edu>
To: ANALUCI@aol.com
Subject: Re:  Lyapunov
Cc: crose@MOGLI.rutgers.edu
Status: R

Your first two contentions are ok.

For 3) you only need to show dV/dt < 0


