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00:37
@RE60K No clue. But just to clarify: No repetitions allowed.
01:16
Suppose you want to cut a square into pieces and reassemble them to form the same square but rotated 45 degrees. The pieces are not allowed to rotate. How many pieces do you need?
I can do it with five pieces, which I conjecture is the smallest amount possible.
Number, not amount.
@AnthonySaint-Criq One of the standard texts on this topic is Lee's Intro to Smooth Manifolds. The definition he gives of a topological manifold is one without boundary (a manifold with a boundary is actually not a manifold at all).
Munkres also gives a definition of "manifold" which does not have a boundary.
…which I conjecture is the fewest possible.
@TedShifrin I do that all the time.
01:36
Only cuz it’s DogAteMy did I make the correction.
02:24
so fussy, maximal atlases and all
the real question is how does bourbaki do it.
the immortal Nick
03:20
Can we cut the square into finitely many pieces and rearrange the pieces into a circle, if we allow ourselves to dilate the pieces as well as simply translate them? Surprisingly, yes!
$M=\begin{pmatrix} 1 & 1 & 1 & 0 & \cdots &\cdots\\
0 & 1 & 1 & 1 & \cdots&\cdots \\
0 & 0 & 1 & 1 & \cdots&\cdots \\
0 & 0 & 0 & 1 & \cdots&\cdots \\
\vdots & \vdots& \vdots& \vdots& \ddots&\vdots\\
0&0&0&0&\cdots&1\end{pmatrix}
and inverse
$$M^{-1}=\begin{pmatrix}
1&-1&0&1&-1&0&\cdots\\
0&1&-1&0&1&-1&\cdots\\
0&0&1&-1&0&1&\cdots\\
0&0&0&1&-1&0&\cdots\\
0&0&0&0&1&-1&\cdots\\
0&0&0&0&0&1&\cdots\\
\vdots&\vdots&\vdots&\vdots&\vdots&\vdots&\ddots\\
0&0&0&0&0&0&\cdots&1
\end{pmatrix}$$
Does $M$ and $M^{-1}$ have any special name?
$M=\begin{pmatrix} 1 & 1 & 1 & 0 & \cdots &\cdots\\
0 & 1 & 1 & 1 & \cdots&\cdots \\
0 & 0 & 1 & 1 & \cdots&\cdots \\
0 & 0 & 0 & 1 & \cdots&\cdots \\
\vdots & \vdots& \vdots& \vdots& \ddots&\vdots\\
0&0&0&0&\cdots&1\end{pmatrix}$
@AkivaWeinberger I wonder how they make these diagrams and insert math symbols?
04:11
other than Toeplitz, i don't think so...
BAYMAX: none that i know of. these are examples of toeplitz matrices (which are often defined to be matrices whose i,jth entry is constant along all 'diagonals' i-j=k, k fixed).
people who do certain types of signals processing recognize toeplitz matrices as corresponding to 'time-invariant' filters (because you can characterize toeplitz-icity in terms of commutation relations with a shift). lower triangular toeplitz matrices get more attention than upper triangular ones because they correspond to 'causal' time-invariant filters.
so you're definitely not writing on a blank slate here, but i don't think the general theory of these things is so good that the recognition of "oh boy! this is a toeplitz matrix!" necessarily leads to a lot of generally applicable and fruitful insights. a lot of diversity and difficulty is present within the world of toeplitz matrices
math.stackexchange.com/questions/786108/… is a bare-handed discussion of how to invert toeplitz matrices
it's sometimes helpful to think of them as the result of compressing multiplication operators to a space of polynomials. if you think of L^2(circle) as a hilbert space in the usual way, multiplication by sum c_n z^n followed by compression to the span of [1, z, ..., z^n] is an nxn toeplitz matrix, where the entry on the diagonal i-j=k is c_k. that perspective might make that MSE post make more sense.
hi copper.
04:59
Hi @leslietownes!
what's new?
05:38
Suppose that R is the ring of all real valued continuous functions on [0,1]. Define M={f in R: f(0)=0}. Then, is M = principal ideal generated by the identity map i (i(x)=x for all x in [0,1])?
05:55
koro consider something like sqrt(x)
perfect! thanks a lot!
Instead of f(0)=0, if one considers f(c)=0 for some c in (0,1), then |x-c| works just fine.
1
A: $R$ local ring, $I$ maximal ideal then $x\notin I$ implies $x$ unit

Fredrik MeyerHere's a different idea. Suppose $x \not \in I$. Then since $R$ is local, $x$ must generate $R$ (unless $x=0$). Hence there is some $z \in R$ such that $xz=1$.

Does this answer make any sense?
Why must (x) generate R?
06:12
see the other answers.
it makes sense in that it doesn't say anything false, but it doesn't explain what's going on.
If (x) generated a prime ideal, then also there exists a maximal ideal containing (x) (by Zorn's lemma) and hence (x)= R.
But not every prinicpal ideal is prime. All that seems to be correct is (x) is principal.
any proper ideal is contained in a maximal ideal. primality, principality, etc. aren't needed for this
06:32
oh yes. Thanks a lot.
Meanwhile, I also applied Zorn's lemma to {set of all proper ideals containing a given non unit element a}
to deduce that there is a maximal ideal containing a.
I got mixed up in 'proper' and 'prime'.
06:56
might be worth thinking about whether you can give a zorn-free proof of that fact for R = C[0,1] up above.
 
2 hours later…
08:56
Poisson Distribution doesn't make sense...
I get all the distribution but this one isn't intutive.
Is there a good source for Poisson distribution? Or should I just memorize it.
09:45
@NotTfue Does this answer help?
10:00
My favourite application of axiom of choice is existence of Bernstein sets
10:38
@robjohn Sir yes sir!
I think when I have problem I can literally search from your profile.
 
1 hour later…
11:41
to show that a differentiable function with $f'(x) \ne 1$ for any $x \in \mathbb{R}$ has a unique fixed point, it is valid to say that assuming $x_1$ and $x_2$ fixed points by the mean value theorem it is $x_1-x_2=f(x_1)-f(x_2)=(x_1-x_2)f'(x) \implies [f'(c)-1](x_1-x_2)=0 \iff f'(c)=1 \vee x_1=x_2$ and, since $f'(x)\ne 1$, it is necessarily $x_1=x_2$?
11:58
you seem to write $c$ and $x$ slightly inconsistently, but otherwise yes, your argument is correct
I should stress, though, you only show that if there is a fixed point, then it is unique
there might very well not be any fixed point, however
so the claim "has a unique fixed point" is not true
0
Q: Generator of $H^1(S^1)$ via integration of a bump $1$-form on $S^1$

one potato two potatoI have a statement in Bott & Tu's Differential form in Algebraic topology (p.36) that I can't understand. We say previously that a generator of $H^1(S^1)$ is a bump $1$-form on $S^1$ which gives the isomorphism $H^1(S^1)\simeq\Bbb R^1$ under integration. It says integration but I can't see the ...

you misunderstand
integration has nothing to do with arguing what a generator of $H^1(S^1)$ is
12:14
Yeah I'm sure I misunderstand this. Then how the word integration should be interpreted here?
integration should be interpreted in the regular sense, I think you're just misunderstanding the structure of the sentence
what they are saying is that integration gives an isomorphism $H^1(S^1)\rightarrow\mathbb{R}$
this is a separate claim from the claim that a bump $1$-form generates $H^1(S^1)$
12:55
if i have a function $f:\mathbb{R}^d\to \mathbb{R}$ I write $\Delta f=\sum \partial^2_{x_i}f$ as the laplacian, i.e sum of 2nd derivatives
Say I have a function $f:\mathbb{R}^d\times \mathbb{R}^d \to \mathbb{R}$, calling the variables $x,y\in \mathbb{R}^d$. What is the appropriate notation for $\sum_{i}\partial_{x_i}\partial_{y_i}f$, maybe something like $\Delta_{x,y}f(x,y)$?
13:42
You would have to define that that is what you mean. I don't think it would share many properties with the Laplacian; the extension Laplacian would seem to be $\sum\limits_{j=1}^d\partial_{x_j}^2f+\sum\limits_{j=1}^d\partial_{y_j}^2f$
 
2 hours later…
15:31
Does anyone have any ideas for getting a series of integers that add up to integer n from a series of arbitrary numbers from 0 to 1?
Really broad question I know, I'm not sure how to better define it.
So, {0,0,0,1} would be {0,0,0,n}, and {1,1,0,0} would be {n/2,n/2,0,0} etc.
Accounting for rounding error by adding to or subtracting from the last integer or something, I'll figure that part out afterwards.
Dimension of a subset S of R^m is defined as $k$ if S is homeomorphic to an open subset of R^k.
15:44
I have noticed that "{1,1,0,0} would be {n/2,n/2,0,0}" is division of n by the sum of the starting numbers.

What would {1, 0.5, 0, 0} be? Maybe it would be {2*n/3, 1*n/3, 0, 0}
i noticed that 2*n/3 is the same as n/1.5, which is the sum of these starting numbers. Clues, but I haven't figure it out yet.
16:02
@Koro and what if it isn't?
Question (complex analysis homework): "Suppose that $\lim_{z\to z_0}$ exists. Show that the limit is unique." Student: "Let $f:\Bbb C_1\to\Bbb C_2$, where $z_0$ is a limit point of $\Bbb C_1$."
My note: "We have two complex numberses?"
Otherwise the rest of the answer was correct
@Jakobian It's a definition that I learnt recently.
This is in the context of understanding implicit function theorem.
The definition makes sense by "invariance of domains", which I don't yet know in detail as it seems to be from algebraic topology.
This means that if $S$ is the closed ball, it has no dimension
@Koro
There are several nonequivalent topological definitions of dimension. Here's one: https://en.wikipedia.org/wiki/Lebesgue_covering_dimension
(@Jakobian also)
They all agree for open sets, though
Invariance of domain basically says open subsets of $\Bbb R^m$ are not homeomorphic to open subsets of $\Bbb R^n$, $~m\ne n$ EDIT: No, the statement is something else, but this is a consequence
@AkivaWeinberger yes using this the dimension definition makes sense.
16:18
The algebraic topology thing in general uses things called (singular) chains. An $n$-chain is a collection of maps from $\Delta^n$ (the $n$-dimensional equivalent of a triangle, or an $n$-simplex) to your manifold
and by collections I mean a formal sum and difference of a bunch of them
It turns out it makes sense to talk about the "boundary" of an $n$-chain, which will be an $n-1$-chain
and then basically your thing is $n$-dimensional at $p$ if there's an $n$-chain in your space whose boundary does not contain $p$, and which is not the boundary of an $n+1$-chain minus an $n$-chain that does not contain $p$
Right. This is, essentially, a notion of "inductive dimension".
In the mathematical field of topology, the inductive dimension of a topological space X is either of two values, the small inductive dimension ind(X) or the large inductive dimension Ind(X). These are based on the observation that, in n-dimensional Euclidean space Rn, (n − 1)-dimensional spheres (that is, the boundaries of n-dimensional balls) have dimension n − 1. Therefore it should be possible to define the dimension of a space inductively in terms of the dimensions of the boundaries of suitable open sets. The small and large inductive dimensions are two of the three most usual ways of capturing...
To be three dimensional is to have a two dimensional boundary, more or less.
Of course, if you are playing with manifolds, most of the complications about "dimension" go away. Manifolds are very simple from the point of view of dimensions.
Is it the same? I'm basically doing relative homology and $H_n(X,X\setminus\{p\})$
@AkivaWeinberger It is not the same. But it is a similar idea.
Anywho, I need to go teach a few classes. And then drive an hour to Show Low to teach an evening class.
hmm, not sure if cohomological dimension works that well for top spaces
16:43
@AkivaWeinberger I don't understand why. Can you please explain?
I think that S is open/closed in itself in subspace topology of R^n
So I don't see a contradiction if S is homeomorphic to an open subset U (of some R^k).
Being open/closed in itself is totally not relevant.
If we have a random polygon in the plane (need not be convex) a linear function would be optimised at the vertices?
Yes to me? Is that cause a linear function would just stretch out the lines ?
You’re talking about a real-valued function if you’re talking optimization, so that comment makes no sense.
16:52
I mean if you visualise the plane we get when you apply the function
You’re not listening.
youtube.com/… Here, at around 10:00, I think the Jacobian matrix of Df (a) is written incorrectly.
Koro: I refuse to look. This is not rocket science. Figure it out.
@TedShifrin a function from R^2 to R can be visualised as a plane in 3d space?
@Koro Closed balls are not homeomorphic to any open subset of R^n for any n
16:57
OK, now you’re talking about the graph. Since it’s a region in a tilted plane, then ….
Suppose that $f=(f_1, f_2,..., f_k)$, then Jacobian matrix for f should have partial derivatives of $f_i$ in the $i$ the row (and not in the ith column).
(continued) I mean, you'd have to prove that, which uses invariance of domain, but it is a true fact
@TedShifrin Yes then it would be optimised at vertices
I see. So I'll need invariance of domain. I'll take the statement for granted for now then.
Am I correct?
16:58
@Shinrin-Yoku Have you learned multivariable calculus? Do you know about gradients? That’s the way I think about optimization.
@Koro No, totally wrong.
Yes, but isn’t that overkill? When it could be proved purely geometrically
Sorry, Koro. Too crazy here. You’re right. The function is a column. Derivatives go across rows.
@Koro The Jacobian must satisfy $f(x+h) = f(x) + J h + o(\|h\|)$, so you can figure it out from that.
@Shinrin-Yoku If you state it correctly, sure. Your original statement was wrong.
yeah, copper and Ted: exactly!
17:02
@TedShifrin which original statement?
I was just saying that the video at that time-stamp (around 10:00) had made an error.
Koro: In fact, this is the reason I wrote everything with column vectors throughout my multivariable book, despite the typographical nightmare.
Talking about how a linear map maps the plane to the plane.
Ok I apologise
Linear programming is quite nice. The simplex method is a nice application of very simple linear algebra.
It finds the optimal vertex immediately.
17:19
@AkivaWeinberger I was asking for education purposes, not because I don't know
@AkivaWeinberger: I hope you don't mind I fleshed out your comment.
@TedShifrin either direction can prove nightmarish.
How so, robjohn?
$f(x,y)=x^2+y^2$ and g(x,y)=$x+y-1$, then by implicit function theorem $g^{-1}(0)=\{(x, 1-x), x\in \mathbb R\}$.
hmm, not really.
@TedShifrin row vectors can take up a lot of horizontal space, though much less vertical space.
Before LaTeX, it would be horrible to align vertical vectors.
Oh, but writing the input and output of vector functions both as columns is a pain to typeset. Not so bad writing on the board.
I’m talking calculus, not just linear algebra. But it helps to stay consistent so as not to have Koro’s issues.
17:32
Are you talking about pre-LaTeX, with a typewriter? With LaTeX, it is just a space consideration.
@TedShifrin yes
I, too, pretty much use column vectors (vertical vectors)
I have a vector field question
@robjohn Yes, and lots of macros.
Williamson, Crowell, Trotter was typeset that way back in the late 60s, early 70s. Only other book I’d seen.
I think Hubbard and Hubbard, which drove me to write mine after 2 months of teaching, also did it.
Wrote a book that could be taught from
Has the space of 3d vector fields $X$ on $D^3$ s.t. $X$ vanishes at the poles $p_0$ and $p_1$ and the flow maps the boundary, $S^2,$ to itself, been discussed in some book or is anyone here familiar with it?
Hubbard is very smart and very idiosyncratic. That said, his book is in its nth edition, so way more popular than mine. Famous author rule.
You don’t need to mention flow, geocalc. This is just vector fields on the disk tangent to the boundary. I don’t know what more to say.
17:45
start with "Dianetics." the later books make a lot more sense after that
Suppose that $U\subset R^n\times R^k; f: U\to R, g:U\to R^k$ are $C^1$. Suppose $(a,b)\in U, g(a,b)=0$ and $Dg(a,b)$ has rank $k$.
Ha ha … L Ron not quite at the right level.
My question is: why can I apply implicit function theorem on g? Please note that Dg has rank k and that the hypothesis does not say that either $D_1g(a,b)$ or $D_2(a,b)$ has rank $k$.
Reorder the variables.
This is totally standard.
And I have no idea why you put $f$ in there.
Suppose that after re-ordering, I have $k_i$ linearly independent columns in $D_ig(a,b)$, i=1,2 such that $k_1+k_2=k$, then implicit function theorem is not applicable.
Actually, I'm trying to understand Lagrange's multipliers and hence $f$ was also put.
17:50
I have no idea what you’re doing. Put the $k$ good columns at the end.
I see. That should not create any problem.
Reordering of variables function is diffeomorphism, I think.
i.e, the map $(x_1,x_2,...,x_n)\mapsto (x_{\sigma 1},..., x_{\sigma n})$, where $\sigma \in S_n$, the symmetric group of order n.
Thanks a lot, Ted :).
It’s a linear isomorphism!
Maybe watch my lectures instead of the random ones that are wrong?
Ohh. The lectures I'm watching are not random ones. The professor teaching in the video lectures is also an author of several texts on mathematics. The error I pointed above is just a typo.
I have watched some portion of your lectures on inverse function theorem.
and I have also watched your lectures on surface integrals.
:)
18:05
I’m surprised you haven’t caught mistakes and complained!
everyone makes musytakes
on surface integrals ? (I watched them months ago and didn't find anything suspicious). On IFT ? (started watching it few days ago. I'm yet to finish watching the complete lectures on this. So far I have watched till - given s, p, discussing x and y such that x+y=s, xy=p).
I'm asking about vector fields in the (ball) tangent to the boundary, not disk
@copper.hat you are raight :).
@geocalc33 you’re misinterpreting. Most of us call a closed ball the disk (in whatever dimensions).
18:16
gotcha
@Koro I made a small error discussing the meaning of flux, but caught and corrected it a bit after.
:-)
18:31
what the flux?
shut the flux up
covers eyes and ears
stoking up some divergence in the chat room
Curl up with a good book?
19:00
On Wikipedia the Fourier transform (FT) of a function has a minus sign in the exponent and a plus sign for the inverse FT. In a book I'm reading, the author has swapped those signs. Does it matter much?
not particularly, no, although that's an unusual choice. a more common potential point of difference from one book to another is fiddling with where factors of 2pi, or sqrt(2pi), go
Ok, thank you @leslietownes.
is it a book with prob/stat applications?
More engineering I would say, for which I have seen that it is common to define $j=-i$, which would explain the sign change.
okay, instead, define a diffeomorphism from the open ball to the open cube with a prescribed vector field in the open ball. I think this would let you get an explicit form for the vector field in the open cube...right??
19:15
wow, j is -i? never heard of that. i thought j was just a funny name for i
the positive sign for the transform would agree with a prob/stat convention about the 'characteristic function' of a random variable, but in that context they usually never call it the fourier transform at all
interesting
I thought so, too, @leslie. So engineers are reverse-oriented.
@geocalc How explicit is your diffeomorphism?
Is it really $C^1$?
20:02
i have never seen j defined as -i
Nor have I
i think we've caught the probabilist trying to masquerade as the author of an engineering textbook
probably true
am i missing something here? math.stackexchange.com/q/4536867/27978
kinda want to write "do some work" but perhaps i am missing something
politeness always trips me up
20:18
diffeomorphism from the cube to the ball could be $\psi_{1}(x_{1}, \dots, x_{n}) = \bigl(f(x_{1}), \dots, f(x_{n})\bigr)
\quad\text{and}\quad
\psi_{2}(y) = \frac{y}{\sqrt{1 + \|y\|^{2}}}$ for $f(x) = \tanh^{-1} x$
copper: you're not missing something, but i don't see value in engaging further. there seem to be several levels of confusion there. my reaction is "yikes" if this is a functional analysis class.
with $\psi_1 \circ \psi_2$
i know, scary right!
definitely helps to have a grasp of R^2 before considering the infinite dimensional case. at least, even i found that handy.
20:20
Leslie: Re: our earlier discussion, the set $M_c=\{f \in C[0,1], f(c)=0\}$ is a maximal ideal. This can be shown without Zorn's lemma.
koro: yes, i meant: "any proper ideal in C[0,1] is contained in a maximal ideal of C[0,1]."
ohh, I see. I'll think about this.
your example is a pretty good example in functional analysis. "multiplication by x" on C[0,1] being a classic example of a non invertible operator that does not have 0 as an eigenvalue (it clearly fails to be surjective). its range not being all of what you called "M_0" is an example of a proper ideal sitting properly within a maximal ideal.
if you topologize C[0,1] with the sup norm it is also an example of a bounded operator that does not have closed range.
21:05
@geocalc33 But this won’t do anything for you at the boundary.
21:59
@leslietownes ah, that's a neat one
22:12
So, anyone up for some geometry?
22:22
what kind
23:04
The fun kind
23:32
@Goku The empty set?
23:57
@XanderHenderson No, the synthetic geometry stuff

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