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PROFESSOR STRANG: So I'm hoping you will ask
some questions today.
So we've had the exam.
If you have any questions about grading the two TAs
are the people to speak to.
Remy's graded Questions one and two, and Peter
graded three and four.
And they control things.
I mean, I can help if there's an emergency, but they would be
the right people to speak to.
Because they know how they graded the whole test.
Before you ask questions, can I just say why this truss, you
remember this six-sided truss, tied me in a knot and I'm
hoping your MATLAB solution will untie that knot.
The knot I was in was to find the mechanisms, to find
convenient mechanisms because we have, well, I thought
we had six bars.
It looks like we have six bars.
But somebody pointed out after class that that bar six
is not very active.
It's connecting two supports, can't do anything, and actually
that sixth row of A matrix will be all zeroes.
So our matrix, if we include that, there was
no use, it doesn't help.
So our matrix then really comes from the five bars, so A is
then five, by two unknowns.
Two, two, two, making altogether eight unknowns.
So three mechanisms and that's what I'm hoping for.
So when I unwisely drew that picture on the board at the end
of the truss lecture, I was only looking for two mechanisms
because I was thinking we had six edges, six bars, but really
this bar, when I knock out the columns that correspond this,
that node and that node, there will only be zeroes
left in that row.
And it's nothing.
It correctly tells us that the stretching of that bar is zero
but we knew that anyway.
OK, I don't know if you've tackled the MATLAB question,
and I also don't know whether MATLAB would produce for us.
I mean, you should be able to construct a with a whole lot of
square roots of three and over two from sine of 60 degrees and
maybe 1/2 from sine of 30 degrees. a should look pretty
nice, but what the solutions to these mechanisms are, of course
solutions to Au=0, and.
Anyway, I'm hoping that we learn from this example.
I hadn't intended so it's pretty small MATLAB, it's
really just the creation of the matrix A.
OK, so that was a comment on that.
Which I added to the homework, now I'm ready for questions
about the homework, the exam whatever, yes thank you.
Oh, good.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: For trusses, OK.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Yeah. a TA immediately, couldn't you?
It's not quite so straightforward.
And this is like more realistic.
I mean, yeah.
Ah.
I guess, yeah but remind me what that question was.
This was a 2.7 Problem one?
OK let me just see what I'm asking for.
So, OK, yes.
So I only asked about A transpose A, I only asked you
for the shape in that question.
Oh, and then I asked you for the first row,
good for me, yes.
I see, the first row so I didn't put you to the agony of
writing out the whole thing, but still how do you get the
first row, good question.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Oh, I see.
Now, well it's not going to be so neat.
Let's just think.
We could do the first row of a, and the first column
of a probably, yeah.
So what am I looking for in A transpose A, because
it didn't say row one.
OK, so row one of A transpose A corresponds to the first,
oh, so what is row one?
Yeah, this is worth thinking about.
So this is A transpose A for trusses.
And let's just, maybe we could even take this
one as an example.
If I number the nodes, if that's my first node,
A transpose A, you remember that's square.
That tells us the edge part, the bar part is built into it
but its size is n by n, its size is five by, no, its size
is what, eight by eight, right?
It's got to do with the number of, OK.
So its first row, what will its first row be about?
It'll be about u H 1, right?
The first row of this a transpose a matrix will be
about, the first node but more than that, that node has got
two things, u H and u V, and we're putting H first.
So so I think that the first row of this,
let's just draw it.
Maybe I'm not seeing.
So let that be A transpose A, I see yeah. a transpose a will be
multiplying u H 1, u V 1, and so forth.
Right?
OK, good.
So now this is better.
All I'm asking is where do we know there are zeroes in that
first row of A transpose A?
Where would we know that there are zeroes for this problem
rather than, I won't redraw the one in the book so I'm
taking this truss.
So if it's this truss, this is the first node, the bars are
numbered like this, and of course your MATLAB construction
of A, you might multiply out A transpose A.
Because in MATLAB that would be so quick.
And you could see what it looks like.
And where would we expect to see zeroes or not zeroes?
Let's see, A transpose A, so I'll have to think.
My instinct is that it should only connect two neighbors.
So that I would imagine, but I've got these are double
neighbors, right, there's two people living here.
We have to remember.
So I see two people living here and two people at home, so I
guess I would imagine four non-zeroes for this problem
in in the first row.
I would think that that would have somebody on the diagonal.
That would be what multiplies u H 1 itself, and then maybe u V
1 is involved, and these two guys.
These two and those two would not be involved.
Well, that's only a partial answer, I'm just telling you
where the zeroes are, I think.
And you're really asking about the non-zeroes, of course.
So, yeah.
Not so easy.
Yeah --
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: -- maybe have to do it.
OK, yeah.
I think, the first time better to do it, yeah.
But that's an excellent question, and maybe we will
find a nice, and if somebody does, let me know.
A nice way to see that.
Somehow I must have felt that was doable when I
created that problem.
OK.
The other thing to say though, that while I'm looking at A
transpose A, is remember that it can be created by
these element matrices.
Yeah, yeah that's important to say.
So there will be five element matrices, right?
Because I've got five bars.
And the element matrix for this bar, or say for a typical bar,
the element matrix for this bar will involve all the u's that
are connected to this bar.
So two u's there and two u's there, so it'll be four by
four, the element matrix here.
So this will contribute four non-zeroes to that to row
and to three other rows.
That four by four guy from this part is, you know what
I'm speaking about here?
The element matrix which is just, the element matrix
is a cosine, sine, minus cosine and minus sine.
Column times row.
Cosine, sine, minus cosine, minus sine.
This is the element matrix for this bar, those are the cosine
and sine of 60 degrees, and those positions would be
these two and these two.
So there would be actually four zeroes coming after, and after
here from those two and those two.
So this bar contributes to a transpose a, sort of
stamps into A transpose A.
This four by four of non zeroes plus the rest zeroes,
stamps that in up there.
This guy has its own element matrix.
Now, what's different about the element matrix for this guy?
Of course it's got its own c_1, probably, and it had a c_2,
this difference constant.
But bigger differences than that.
First of all, it's a different angle, theta.
Here the angle is 120 degrees, and also there's nobody
home down there.
So it would be, if we were dealing with A_0, free-free
stuff, it would be four by four, like all the others.
But because these two are fixed, those two displacements
are fixed, effectively it will only contribute two by two.
A total of four non-zeroes.
But those will stamp in to A transpose A
overlapping this guy.
Then the ones from these bars will not touch the first row
of A transpose A, so they wouldn't touch the answer
to that homework problem.
So you see again another way.
By hand I don't know that you necessarily want to use these
element matrices, I'm not sure.
But it gives an excellent check.
So one way to create A transpose A is
create a multiplier.
That's one way.
Second way is, create A transpose A element by these
five element matrices popped into the right places.
I think this is, so this like the computational science
part of the course.
It's the way you would, I'm really speaking about the way
you would write the code, not the final result.
So much of the course has been devoted to understanding A
transpose A, and the fact that it's positive definite, or in
this case only positive semi definite because we have an
eight by eight matrix whose rank is only going to be five.
So this matrix will have these same mechanisms, and I'm hoping
to learn what they are.
Well I hope that's a little help with that question.
But basically, though, it's not help because I'm sort of saying
you're on your own to actually, I don't have a superfragilistic
way to construct a matrix and then you kind of have to do it.
But I'm glad you asked.
Yeah
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: More on this problem, OK.
The sign convention.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Yes.
So let's see.
So I made a speech about sign conventions, right?
And which was that I am too old for this.
And the justification for that is the fact that they
wash out in A transpose.
So if you were to use the wrong sign convention in A, you
won't see it in A transpose.
So if I change the whole thing.
So sign convention is not really a convention.
Our convention is to decide that that movement
that way is plus.
And movement this way is plus.
And here, similarly.
That's a plus movement and that's a plus movement.
That's our sign convention.
If we always do that, then the A matrix is telling us how
much this bar stretches.
It's the matrix that gives us stretching from these
four displacements.
And then, these, I think in this picture, if this is the
later node and this is the thing, then that angle from
the horizontal is the right guy to put there.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Here?
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Well, I guess I'm, I see, the question is
what's the sign convention with this particular picture?
Yeah, if this is node one and that's two, then
question is good.
It looks, I think, so I think I've got it not right.
If this is node one down below, and two up above, then moving
two positively would stretch the bar.
And I've got minuses there.
So I've got the opposite sides.
I've got there, the signs that would go with this number.
If that was node two and this was node one.
Yeah, you're right, good.
You have to, and that's the only way I do it, is to
think will the movement stretch to the bar.
Then that's got a positive entry in there.
Will the movement like that compress the bar, that'll
be a negative entry.
And our conventions are if it stretches that's positive. e
positive means the stretching; e negative means
the compression.
So it takes a little patience.
Or it takes writing the code correctly once and then
of course it would do it for all these problems.
Yeah, I think the TA in an earlier year actually wrote
a code to a truss code.
I don't know what happened to it but I could look.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Yes, yeah.
That's right, and it will come out consistent.
Yeah, if I take horizontal, if I take the same convention that
forces that way our plus, that's a plus f H 1 and it's a
plus u H 1, then I'll get a will go to A transpose.
Yeah, so if I'm consistent that's plus for the u's, so
this displacement is plus for the f forces and the correctly
created a will give me the correct A transpose.
But A transpose A has the ability to vary some
of those conventions.
OK.
Good.
Yes.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Different.
More.
Oh my God.
OK.
Yes.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: This one, yeah.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Yeah.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: I wish it would ask about bar three.
Yeah, yeah bar three was good.
Yeah right.
Yeah, I guess here, what's here, well, the angle is, that
must be theta, and then this'll be right provided this
number is the, is what?
Well, I've got to think it out again.
I'll just think it out.
Maybe, yeah I won't try to, yeah I won't.
I won't.
So I think you, but it's really, you learn the point
by thinking that through.
I think we've got it here.
That if that's number one then we like plus sine here because
positive displacements will stretch the bar, right.
And here this sign will depend on the angle.
And it will depend on the number, which which numbers,
what number that one is and what number that one is.
If I reverse the numbers, then I reverse the side.
Yeah, good.
Well, that's sort of part of computational
engineering isn't it?
Like, keep track of the details.
But of course this 18.085 course is also about
big picture things.
And that's what I'm hoping comes through even better.
OK, ready for another question on any topic.
Thank you.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Yes.
Well, no, but let's just try it.
Shall we do Problem one?
Was it Problem one? in 2.7?
OK, let me just draw that truss.
And let's just talk about it.
So, boy I've put a lot of bars in there.
OK, so this is just one bar down to this guy.
And this is one up to here.
And was that everything?
OK, and then I've numbered them.
Let me just copy the number here, so that we can
talk about that.
And I numbered the nodes one, two, one.
Joints, I should say really.
Four.
OK, all right.
Let's just start as I always do by, what's the
shape of the matrix A?
A is what, how many bars have I got?
So help me through this now.
Six bars, and how many unknown displacements have I got?
Eight, OK, good.
And have I got any rigid motions here?
No.
I've got two, these are going to prevent all
the rigid motion.
So if this matrix, if A has rank six, which we'd probably
guess it has, you know that there's an if there.
Then two mechanisms, right?
Eight minus six gives two mechanisms.
OK, and your question is how to find them.
You've got one.
Alright, which one have you got?
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: These guys.
So tilt, so that's a mechanism that only involves u H 1 and u
H 2 and none of the other u's.
OK, that looks good.
So that's certainly one.
Now we're looking for a second one.
What if, anybody suggest one?
Let me just give everybody a thought.
If you haven't already started on this homework,
you're starting now.
So I'm looking for another mechanism, and of course you
might say well, suppose these bars go this way.
Suppose they go to the left, and you know that that's
not going to do it right.
And why not?
Why isn't that an OK second answer?
Because it's effectively the same as the first; in fact the
mechanism u, how would the u, the one I've drawn and the u
for this way, what would we see?
Opposite signs.
If this describes a u 1 H and a u 2 H positive, the other way
they're negative, it would just be the opposite
sign; nothing new.
OK, so now you've had a look, so tell me.
If somebody sees, to answer your question here,
how do you see them?
I don't know.
Just look harder.
Like you know, speaking French.
Just say it louder and maybe it'll work.
Of course we do have the possibility to create the
matrix and look for solutions.
But it's more fun to do it this way.
And now who's going to suggest another
mechanism, another view?
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Three and four.
Wait a minute; what was that three?
Oh, these nodes, OK.
These nodes, three and four do what?
Oh yes, sorry.
Three go up this way, ah.
I see you're rotating.
So this guy goes sort of along this way, you're taking that
top square and turning it.
OK, so these guys will also turn, right?
Yeah, one and two will move on your mechanism.
So the idea is take that top thing, and I'm allowed to turn
it, I'd say I have to turn it, I have to keep this bar,
yeah I cannot stretch it.
I can't stretch any bars.
So when I do this turn, I can't just keep it in place and turn.
No.
But I'm going to turn it so that this one goes this
way and this one goes this way, and now.
Alright you're, you're responsible for telling me
about the other two now.
What do they do?
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Bar four, Will bar four keep its length?
Ha.
OK, well we're not allowed to use fancy words
like four-bar linkage.
Because somebody might say what does that mean.
OK, does it, do you see that?
I think it does.
But it's wonderful.
If that's the original bar and I bring this up a little; a
little, remember and this down a little, I think that the
new bar has the same length.
You believe that?
No.
Some, yeah, but what happened there?
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Yeah, this is a good example.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Sorry, yeah, certainly bringing that up
tended to make the bar shorter, but then moving this down
tended to make it a little longer.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Right
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Yeah, I think so.
See, that was the key.
We went at 90 degrees to five.
And by going at 90 degrees, then the stretch in there was
only that one minus cosine that was higher order.
That's the key.
Similarly, here, all these so we're avoiding stretching
by this trick.
So maybe this guy is going down this same way.
And this guy is going up that same way.
Yeah, because then that bar is just translating, and this bar
is translating and these two are doing the same thing, which
I believe is not stretching.
Is this the answer that maybe somebody already got?
And believed in?
Yeah.
So to answer your original question, it wasn't
obvious, was it?
But I think that is the right thing.
And actually, you could create the A for this problem.
Well, it's a bit large, 48 entries, but because four of
the bars are horizontal or vertical, you will have many,
many, many, zeroes in the A matrix.
It would be sort of fun to create the A
matrix and then this.
So what is this displacement that I believe in?
This u mechanism that we've talked about.
Let's see, if I look at one that was positive positive.
If I looked at node two, that was positive over but down.
So horizontal but down.
If I look at node three, that's positive positive.
Yeah, one and three is hanging on.
And number four is like number two, one, and minus one.
I think that's the u which should solve Au=0.
Yeah.
OK.
But that's a good example.
OK, so that's trusses.
What else?
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Thank you.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Oh, well, let's see.
That's a good question and now I guess we're, ah.
Yeah well, the way I've drawn it at 45 degrees, which is what
I wrote here, then I did build in, I did make that a 40, I
did make this 45 or 135 or something.
And 45.
To get that, if that goes at 45 degrees, then this had
better go at 135, right?
So that has to be a right angle.
If the support was over here then the angle that would have
gone off with was changed.
Yeah, so very good point, that the numbers I've written
down on the picture I drew required these angles to
be those nice numbers.
I hope you like these trusses a little.
I mean, you get some freedom to visualize a little.
Good, yes.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Maybe.
Let me see.
I thought you were going to say, could I have two and
three go inward and one and four go outwards?
You don't like that.
I would go with that.
Is that any good?
Well, OK.
Yeah, linear algebra spoke there.
It's a combination of the other two, yes.
If we only got a two dimensional.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: That one.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: OK.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Yeah.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Yeah.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Yeah.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: OK.
But let me, when you suggested one, I overwrote it.
Now, the one you suggested, when you told me, OK, bring
these in, I thought, OK, these have to go out.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: They're not allowed to change lengths,
so they can only swing around these pin joints.
So the picture of the one that I drew after your question
would be, these guys, this guy, let me draw the
square, as it was.
And then these guys came in a little.
These guys went out a little.
And we got this.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: No, that's OK.
I think this is legitimate, this is a legitimate one.
And that bar, every bar now is doing the same kind of
thing that this one did.
This moved a little, but this compensated and kept
the length the same.
Your question has led us to another nifty mechanism.
It's good, a good one to think about.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Yeah.
It's movement without stretching.
Movement without stretching is the key, yes.
And then where does collapse come?
So I use the word collapse pretty freely.
So the word collapse comes in because since it's can move
without stretching there's nothing controlling it, it can
move, well, if we stayed linear, then I could make all
those ten and the thing would be even worse, of course.
The truth is that if I made those even one or ten I would
be out of the linear range.
These all should be 0.01's or something.
But linear we don't know the difference.
OK, I'm glad you've got that suggestion.
And now somebody correctly says that this one must be some
combination of that and what was the first movement?
Oh, the upper two.
Which it must be.
Amazing, how many, put a few bars up there and you got it.
Yeah.
And of course, by the way, and don't let me get too far into
this discussion, but who is the artist, actually is it
Alexander Calder who has, what are they called?
You know, they're, What was it called again?
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Well, he has those, that wasn't the
word I was thinking of.
But he's created these trusses, like with lots of bars and lots
of nodes that have some special property.
You know, they just, anyway.
It touches on art, actually this theory of mechanisms.
Yeah it's really quite interesting.
But then linear algebra somehow tells you just from these
numbers how many mechanisms you're looking for.
Which is pretty cool.
OK, open for more questions.
You probably haven't looked ahead, I mean today's lecture
was a, I hope, and I left up there the central topics
for the lecture.
But I'm, I think, correct that you haven't started
on those problems.
To know what to ask.
Let me ask you a question, which was not in the lecture.
Suppose I wanted to use finite differences.
It's a little bit like the one on the quiz.
So on the quiz we had c=1's, and then c=2.
And you knew c had to be four by four, so most people
correctly got the diagonal as one, one, two, two.
Just by sort of common sense.
But what would be a finite difference, approximation
to our equation?
So suppose I didn't go to finite elements, but instead I
stayed with finite differences, which would be completely fine
in 1-D, completely sensible.
How would you create a finite difference thing for that?
Let me just bring down a blank board and ask.
So you see the equation?
Let me write it again here.
So I want to replace this equation with a very,
that has varying c(x).
Well, I won't worry about the right side.
It's F.
What's my K matrix for using finite differences for this?
We're going to create a finite element K matrix by the
weak form Galerkin trial function, that route.
That's coming that very important, it's coming.
Start it today and it'll be completed Friday.
But now suppose we were back up to finite differences.
What would you take for finite differences there?
When the c wasn't there, what did we do?
Then we just had second difference, right?
How did we get the second difference?
It was a first difference of a first difference.
I guess I would probably, this, I would probably approximate
by u_(i+1)-u_i/delta x.
That would be that, and so what should I put for c(x)?
What would you suggest?
The c subscript i, so let's mark.
Here's i, and here's i+1, and here's i-1.
We're going to end up with those three guys involved.
So this takes this difference, and then this one will take
that one, and then I'll also have a u_i-u_(i-1)/delta x.
And somehow that'll be the difference of
these differences.
But now tell me again, what would be the really
cool choice of c?
What's your instinct where what value of c to take?
As sort of average.
I mean you could take it just halfway.
I think I would take c_(i+1/2) there.
Just as being sort of right.
And here I would take c_(i-1/2), halfway
along its interval.
And then the second difference takes the difference of it.
So now I've got, I think that's what I would do.
That would be my one typical finite difference equation.
Would be the difference times its c and I took
its c to be symmetric.
You could also have taken, if you like, if you wanted to stay
at these points, you could do twice as much work and
take, let me say, four.
So either c_(i+1/2), or you could average the
c_1 and the c_(i+1/2).
And both of those would give you that extra accuracy that
you pick up from sort of keeping symmetry
where you should.
So I think, I mean, this would be the quicker one to put,
that one would be OK too.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: This was just for your
entertainment not, not.
Yes, go ahead.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Ah, when c was a step yes.
When c was a step.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: c_i plus, I have probably the step.
Yeah, yeah.
Yeah.
Let me ask you, what happens in this equation when c jumps?
It jumped on the quiz.
But I didn't require you to solve the differential
equation, only to create the finite difference model, to
create the A transpose c A, and most people did it fine.
But suppose c jumps.
I have some simple right hand side like one.
It's not a jump in the right hand side I'm interested in.
It's a jump in c from one to two.
So this is a topic that the book does discuss and maybe
I might come back to it in the ordinary lecture.
But, while it's in front of us now, the quiz was sort of
intended to help you with that.
How do I interpret this equation when c has a jump?
Well, it's actually, if you look at it right
there's no difficulty.
That equation is a combination of this equation
-dw/dx equals the one.
And the equation of c*du/dx equalling the w.
I split it out for you in the last part, Problem
4b in the quiz.
I really helped you to say OK, take these two
separate equations.
And now you don't really have a problem.
The equation for w, nothing is out of the ordinary there.
Jump in c is not even seen.
So then you've got the w.
Now, you have the c in it with its little jump.
But, so suppose I find w from the first equation.
How do I find u?
I just divide by the c.
It integrates.
Yeah.
What I'm saying, let me say it, clearly now.
If there's a jump in c, that's not a bad thing.
Because the point is there's no jump in c*u'.
c*du/dx doesn't jump. w doesn't jump.
From a jump in c.
If c jumps, let it.
There's no jump in w, which is the serious unknown.
There'll be a jump in du/dx, and that was that e thing
that you had on the quiz.
There'll be a jump in du/dx to compensate the jump
in c, but w is good.
That's the message of, so let me write that down.
Even if c jumps, w does not.
So my point is when you're looking at w, you're looking
at the right quantity.
And it deals, this is the sort of general feature that if
you look at it right it's not a problem.
If you look at it wrong and try to write out that equation,
take the second derivative of this is OK, but then if you
just try to take the derivative of the jump, you think, my God
there's a delta function sitting in my equation,
what am I to do.
Don't do it.
That pair of equations is no trouble.
Do you see that point?
That a jump in c is really OK. c=0 wouldn't be so good, right?
If c went to zero then you have got some problems here, because
if c is zero here what's going on?
So your material should have some stiffness,
some positive stiffness.
Zero stiffness would be a problem.
Negative stiffness would be really a crazy material,
where you add more force and it compresses on you.
OK so that was a point I could make also in the lecture.
Other questions.
I hope you find these review sessions, they give a chance
to bring out more points.
Let me say a little bit about Chapter 2 things that we
abandoned without including in the lectures.
One very important thing that we didn't touch was the
non linear problems.
Where in the end you have to solve a system of
non linear equations.
We've only had linear equations, KU=F, where
we almost got to.
And we've certainly found enough to discuss there.
But how do you deal with non linear equations?
Well so that's Section 2.6, I guess.
And the answer is Newton's method, or some version,
there are many versions of Newton's method.
So all I'm saying is that's an important topic.
How to deal with non linear equations.
And the answer is usually some variation of Newton's method.
Depending on how many equations you've got, how bad the
non-linearity is, and things like that.
It's a case where coding is not so simple.
But important.
So that's one thing in Chapter 2 that we've passed, because
really this is where we want to be today.
Other topics, questions of any kind?
Yes, thanks.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: This problem, OK.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Yes
AUDIENCE: [INAUDIBLE]
Well, OK.
Right, good question.
You're right.
AUDIENCE: [INAUDIBLE]
PROFESSOR STRANG: Yeah, OK.
So now suppose that delta of x was in delta of x-a,
the jump at a was there.
What would change in there?
Well, the one would change, right?
The one would now be the delta of x-a.
So what am I seeing now?
What's the jump situation now?
Is there a jump in, does w jump now from this delta function?
Yes.
It did not jump from the jump in c.
That did not produce us a jump in w.
Why not?
Because again back to the jump in c, you have a bar of copper
and you have a bar of steel.
And they have different c's.
But the force at that point, when it's in equilibrium, the
bar's not falling apart, right?
The force is the same from above and below;
equilibrium holds.
It's just that the force involves a c_1 there, and down
here the force involves a c_2 multiplying the du/dx,
and this stretching.
So the stretching rule changes. du/dx, the stretching factor
will be different in the two materials.
But the force won't be.
You really have to keep straight what.
Now, you asked about a delta function, OK.
So now if I hang a delta function there, that's
like hanging a point load at a point.
What happens at that point?
Well, we don't have a problem with that.
Well, w jumps.
The force pulling up is not the same as the force pulling down
because there's this extra point load.
So the balance there and the balance there,
those aren't equal.
There's a jump there because of the point load being put there.
So that produces a jump in w, but not a jump in u.
Not a jump in u, the bar is still holding together.
And since time's running out I don't have to ask myself or ask
you about the worst possibility that occurs to me, which is
suppose they happen at the same place.
Suppose there's a jump in c and a point load.
Do we want to face that, what would happen there?
Suppose, a was the place where this jumped.
Suppose the point load was here.
What's up there?
Well, maybe I will able to do that.
OK, so I'm putting the point load at the place where the
copper and the steel meet.
Is w continuous?
Is the force the same above and below that joint?
No.
Because there's these extra terms from the weight.
And then once you know the forces, then above the bar
you're solving for u with one c, and then below that
point with the other c.
So w has a plus and a minus and c has a plus and a minus.
And you're solving this one, let me make them minus plus.
So you're solving this one in one bar, one metal.
And c plus and the w plus in the other method.
So yeah, you can do it.
Shall I just repeat what my overall message is? w is the
right thing to look at.
That combination c*du/dx is the right thing to look at.
And it's what sits there.
In those parentheses.
OK, good, so that's some review topics.
We really have a lot of fun ahead now with finite elements.