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03:32
@copper.hat That other instructable you done is really cool tho
04:25
@PseudoLoopedvthx :-)
04:38
Oct 26 at 17:18, by Koro
Does there exist a $g$ such that $g$ is continuous on $(0,1)\times (0,1)\subset \mathbb R^2$ and that $g$ is integrable with respect to $\lambda_2$ but $\int g(x,y) d\lambda (y)=\infty$ for some $x\in (0,1)$.
The hint to find such $g$ was to consider $y^{\phi(x)-1}$ for some appropriate $\phi$ so I was trying to construct that.
I'm also thinking about the example that you gave, which didn't seem to work as $\int_0^1 \frac 1{(x^2+y^2)}d\lambda (y)=\log (1+\sqrt{x^2+1})-\log x$, which is $\lt \infty$ for every $x\in (0,1)$.
there is sqrt in denominator of the integrand in the last line.
I thought I had created an example like that: $y^{x-2}=g(x,y)$ but I realized that this is wrong as $\int g(x,y) d\lambda (y)=\infty$ for every $x$ and that violates Fubini's theorem.
05:00
try $y^{|x-{1 \over 2}|-1}$.
$y^{(x-\frac 12)^{\frac 15} -1}$ also worked :-).
thanks a lot. :-)
05:35
Suppose that $E$ is Borel sigma algebra $B(\mathbb R)$, then any hints to show that the set {$(x,y)\in \mathbb R^2: x+y\in E\}$ is in $B(\mathbb R^2)$?
have you shown that + is a measurable map from R^2 to R
i presume not, but that would be the beginning one of the more conceptual ways of attacking the problem
Leslie: yes.
That's a continuous map.
so measurable.
ok right, it probably would have been covered around when you introduced the concept of the borel sigma algebra
so there ya go
the set is just: $+^{-1}(E)$
+ is function. :-)
that notation gives me hives, but yes
05:47
your solutions are so elegant, Leslie :-).
Basically, if f is any continuous map from R^2 to R. Then, f^{-1}(U): U is open in R is open in R^2, i.e., f^{-1}(U)= $V_1\times V_2$, where V_1 and V_2 are open in R^2. The set {E in B(R): $f^{-1}(E)\in B(R^2)$} is a sigma algebra containing all open sets in R so contains B(R). Hence, f^{-1}(E) is in B(R^2) for every Borel set E in R.
so f is mble.
uh, if f is continuous from R^2 to R, you generally won't have that the inverse image of an open subset of R is a cartesian product of open subsets of R. for example if f(x,y) = y-x then f^{-1} (0, infty) aka "the stuff above the line y = x" is not a cartesian product. e.g. (1,2) is in there and (-2,-1) is in there but (1,-1) is not.
i'm not sure it helps to think about basic open sets in R^2. isn't it enough just to know that f^{-1}(U) is open?
06:10
I thought that open sets in the product topology on R^2 are precisely $U\times V$, where U and V are open in R.
well if ted isn't going to melt down about that i guess i have to. really?
there's a general phenomenon of a basis or subbasis of a topology often being enough to consider for various theorems, particularly about continuous maps, open maps, etc. but the topologies themselves tend to be much bigger.
think about the open unit disc. if it were a cartesian product it would have to be (-1,1) x (-1, 1) because of how it projects to the factors.
or to turn that into something maybe more useful, if an open subset G of R^2 both contains the open unit disc and has the form G = UxV, then G contains (-1,1)x(-1,1).
Suppose that W is open in R^2. Then, for any w in W, there is a basis element $U_x\times V_x$ (where U_x and V_x are open in R) such that $x\in U\times V\subset W$. So $W=\cup_x (U_x\times V_x)$
i agree with that. the issue is that an arbitrary union of cartesian products is not guaranteed to be a cartesian product, in the same way that a union of two rectangles might not be a rectangle
Ohh, I miscalculated that as $(\cup_x U_x)\times (\cup_x V_x)$, which is not correct.
As far as continuity implies measurability is concerned, $f^{-1}(U)$ is open is enough.
harmony in the cosmos has been restored.
06:17
thanks a lot :-).
07:09
0
Q: Sigma algebra generated by product of sets = sigma algebra generated by the product of the sigma algebras generated by the sets under this condition?

KoroSuppose that $X, Y$ are given non empty sets. Let $C, D$ be collection of subsets of $X$ and $Y$ respectively. Suppose that there exists sequences $\{C_n\}$ (of elements of $C$) and $\{D_n\}$ (of elements of $D$) such that $\cup_n C_n= X, \cup_n D_n=Y$. Then, $M(C\times D)=M(C)\otimes M(D)$, whe...

07:59
Could maybe someone help me here?
1
Q: How can I prove that $X_n$ is a martingale iff $\Bbb{E}(X_T)=0$ for all bounded stopping times $T$

cristallo Let me consider $(\Omega, F,(F_n)_n, \Bbb{P})$. Let $(X_n)_n$ be an adapted process at $0$. I need to show that $(X_n)_n$ is a martingale iff $\Bbb{E}(X_T)=0$ for all bounded stopping times $T$. My idea was the following: $\Rightarrow$ Let me assume $X_n$ is a martingale and pick a bounded stop...

 
2 hours later…
10:05
@TedShifrin Alr, thanks
10:33
@XanderHenderson Another reason for lags is the Internet connection. I sometimes choose the renderer to be "MathML" to accelerate a bit.
11:32
@TedShifrin Do you write as fast on paper as on a blackboard?
When watching math lectures it's always interesting how fast the professors write out the expressions lol
0
Q: Proof verification: Munkres Theorem 22.1

user168731In Step 2 of Theorem 22.1 from Munkres' Topology: Let $p:X\to Y$ be a quotient map; let $A$ be a subspace of $X$ that is saturated with respect to $p$; let $q:A\to p(A)$ be the map obtained by restricting $p$. (1) If $A$ is either open or closed in $X$, then $q$ is a quotient map. (2) If $p$ is ...

Can anyone please explain the meaning of " that is saturated with respect to $p$"?
I proved this theorem and I only used the fact that A is open.
it means that $A$ is a union of fibers of $p$
in other words, if $a\in A$ and $x\in X$ such that $p(a)=p(x)$, then $x\in A$
$A= \cup_{y\in S}p^{-1}(y)$ where $S$ is some subset of Y.
But when we say- A is subspace of X. This means that A has subspace topology inherited from X. Why is A union of fibers of p is at all useful?
It seems redundant as far as the proof is concerned.
Part i): Given: A open in X. It follows that p(A) is open in Y (because p is quotient map). Take any $U\subset p(A)$ open (in subspace topology of Y). Then there exists $V\subset Y$ open such that $U=p(A)\cap V$. $q^{-1}(U)=A\cap p^{-1}(V)$. which is open in $A$. So $q$ is continuous.
Now, let $q^{-1}(W)\subset A$ be any saturated open set, then by surjectivity of $q$, we have $q(q^{-1}(W)=W$ so we are done if we show that W is open.
Note that $q^{-1}(W)$ is open in X (because A is open in X). $q^{-1}(W)=\{a\in A: q(a)\in W\}=\{a\in A: p(a)\in W\}=p^{-1}(W)\cap A$.
stuck here...
12:16
@Koro quotient maps are not always open
but saturated open subsets of $X$ do always get mapped to open subsets of $Y$ (prove this)
that's why being saturated is useful
12:39
Is it true that the predictable quadratic variation is always positive?
In Edertons set theory textbook:

For any set a, its successor a' is defined by
a' = a ⋃ {a}
A set A is said to be inductive iff
(1) ∅ ∈ A
(2) ∀a ∈ A (a' ∈ A)

Infinity Axiom:
∃A ( ∅ ∈ A ∧ ∀a ∈ A (a' ∈ A) )

A natural number is a set that belongs to every inductive set.
Theorem: There is a set whose members are exactly the natural numbers.

Proof in Enderton:
Let A be an inductive set [by the infinity axiom]

By a subset axiom there is a set w such that for any x:
x ∈ W
⇔ x ∈ A ∧ x belongs to every other inductive set .
⇔ x belongs to every inductive set.
My question is, why did enderton wrote "every other" in "x ∈ A ∧ x belongs to every other inductive set"?
Couldn't it be "every" instead ?
@AlessandroCodenotti yes. So I made an error while saying p(A) is open in Y.
@Thorgott: can you please give any starter for this one?
0
Q: Sigma algebra generated by product of sets = sigma algebra generated by the product of the sigma algebras generated by the sets under this condition?

KoroSuppose that $X, Y$ are given non empty sets. Let $C, D$ be collection of subsets of $X$ and $Y$ respectively. Suppose that there exists sequences $\{C_n\}$ (of elements of $C$) and $\{D_n\}$ (of elements of $D$) such that $\cup_n C_n= X, \cup_n D_n=Y$. Then, $M(C\times D)=M(C)\otimes M(D)$, whe...

use the definition of the quotient topology, what do you need to check
no, I mean the linked measure theory questioon.
 
2 hours later…
14:37
Least confusing set theory problem
15:05
Let $V,W$ be finite-dimensional vectors spaces and let $U \subseteq V$ and $T \subseteq W$ be subspaces. Define $S \subseteq Hom(V,W)$ to be $S := \{ \phi : V \to W : \phi(U) \subseteq T\}$.
I think I've just discouraged someone from learning topology. I feel bad now
It's not difficult to show $S$ is a subspace. Now I am trying to determine the dimension. I want to say that $S$ is isomorphic to $Hom(V/U,W/T)$ but I am not entirely sure.
It's isomorphic to $\text{Hom}(V/U, W)\times \text{Hom}(U, T)$ I think
Given $\phi : V \to W$ with $\phi(U) \subseteq T$, it is not difficult to show that $\widehat{\phi} : V/U \to W/T$ defined by $\widehat{\phi}(v+U) = \phi(v) + T$ is well-defined. So, I would like to show that $\phi \mapsto \widehat{\phi}$ is an isomorphism, but I don't see injectivity.
@Jakobian Oh, I see...hmm...Let me think about that.
Because V/U corresponds to a complemented subspace of U, where it can take any values from W, and U is mapped to T as desired
15:11
Okay, so $\phi$ can, roughly, be decomposed into two pieces, one being a map $V/U \to W$ and the other being a map $U \to T$?
I don't understand what covariance and correlation coefficient is ...
@user193319 yes, that's exactly my way of thought
Okay, that makes sense. I was sort of on the right track. I just need to consider the restriction of $\phi$ to $U \mapsto to T$...Let me write this up now...
So the mapping $S\to \text{Hom}(V/U, W)\times \text{Hom}(U, T)$ would be given by $L\mapsto (\bar{L}, L\restriction_U)$ where $\bar{L}\circ q = L$, $q:V\to V/U$
Choose complements $V=U\oplus U^{\perp}$ and $W=T\oplus T^{\perp}$. Then, $\mathrm{Hom}(V,W)=\mathrm{Hom}(U,T)\oplus\mathrm{Hom}(U^{\perp},T)\oplus\mathrm{Hom}(U,T^{\perp})\oplus\mathrm{Hom}(U^{\perp},T^{\perp})$. $S$ corresponds precisely precisely to the subspace where the $\mathrm{Hom}(U,T^{\perp})$ coordinate is $0$.
15:16
@NotTfue I interpret covariance as a sort of inner product between random variables, where constant random variables are being identified
correlation coefficient just being normalization so that it takes values from $[-1, 1]$
my book only shows how to calculate it :( I don't know how you guys understand it.
I never claimed to understand it, just how I interpret it
may be say get idea of it's existence
There's this exercise from linear regression that shows something like, if correlation coefficient between $X, Y$ is $\pm 1$ then $X = \pm Y$ almost surely or something.
I don't know, it's just some measure of how two random variables relate to each other
Yeah I just turned further pages and saw something about linear regression.
15:23
what I said above about the correlation coefficient is wrong for sure, but it was something of similar nature
15:42
@TedShifrin Hello, I have a question about Example 1 on page 189 of "Multivariable Mathematics". When you say "We recognize these as the three ($\mathcal{C}^1$) local inverse functions $\phi_1, \phi_2$ and $\phi_3$ of $g(x)=x^3-3x$,..." shouldn't it be $g(y)=y^3-3y$ since $f(x,y)=y^3-3y-x=0$ ?
It’s irrelevant what letter you use for your independent variable. But if you’re thinking of graphing the inverse by reflecting across the diagonal, then you still use $x$.
Another question. On page 99, in the proof of the Chain Rule, in the line beginning with (**) shouldn't it be $0<||\mathbf{k}||<\eta\Rightarrow ||\mathbf{f(b+k)}-\mathbf{f(b)}-D\mathbf{f(b)k}||\leq\varepsilon ||\mathbf{k}||$ instead of $||\mathbf{k}||<\eta\Rightarrow ||\mathbf{f(b+k)}-\mathbf{f(b)}-D\mathbf{f(b)k}||\leq\varepsilon ||\mathbf{k}||$
since only later we set $\mathbf{k}=\mathbf{g(a+h)}-\mathbf{g(a)}$ from which, since $0<||\mathbf{h}||<\delta_1$ it follows that $0<||\mathbf{k}||$?
@Jakobian yeah to me your idea sounded somewhat weird by thinking in terms of inner product
@Jakobian So, $\overline{L} : V/U \to W$ is defined by $\overline{L}(v+U) = L(v)$? How is that well-defined?
If I pick $a=(a_n)\in l^{\infty}$ and define a linear map $M:l^{\infty}\rightarrow l^{\infty}$ by $(x_n)\mapsto (a_nx_n)$. Which conditions do I need to put on $a$ such that $M$ is invertible?

I know that a linear operator is invertible if it is bounded, linear and there exists $S:l^{\infty}\rightarrow l^{\infty}$ s.t. $SMx=x$, $MSx=x$ and $||S||<\infty$
15:58
Are you sure $S$ is not isomorphic to $Hom(V/U,W/T) \times Hom(U,T)$?
@lorenzo Not necessary. The inequality is fine at 0.
@TedShifrin I see. Thanks!
@TedShifrin At the end of page 190, when we invoke Theorem 5.1 (Implicit Function Theorem, simple case) to justify the process of implicit differentiation, shouldn't we have the additional hypothesis that $f(\mathbf{a})=0$?
16:16
@user193319 I'm sure it's not isomorphic to that
@Thorgott Then how is $\overline{L}$ well-defined and how is the mapping $L \mapsto (\overline{L}, L \big|_{U})$ injective?
@user193319 Ah yeah. Good point. I suppose it isn't
You really want to take $U^\perp$ instead
@Jakobian Take it where?
Write $Hom(V/U^{\perp})$ instead?
So it's going to be $L\mapsto (L\restriction_{U^\perp}, L\restriction_U)$
Oh, so no quotients?
16:21
yeah, they were the red herring here
Okay, so we want to argue that $S \cong Hom(U^\perp, T^\perp) \times Hom(U,T)$?
huh, no, $\text{Hom}(U^\perp, W)\times \text{Hom}(U, T)$
Oh, yeah...makes more sense. By $\perp$, you just mean regular complement, not orthogonal complement, right?
You are implicitly referring to some inner product, are you?
I mean a complemented subspace as in what Thorgott wrote.
Basically, we can write $V = U\oplus U^\perp$ for some subspace $U^\perp$
@AlessandroCodenotti could you help me understand the beginning of this proof? I'm not really sure why we can pick $\mathcal{B}$
16:47
@Jakobian It seems that one of the hypotheses of the theorem is that there is a MADF.
I have no idea what theory this is, but the theorem seems to be trying to prove a statement about MADF. So the structure of the theorem is if a MADF satisfies certain properties, then it must satisfy some other properties, too.
So at least one $\mathcal{B}$ exists by hypothesis.
@XanderHenderson yes, but it also says that some MADF with the following properties exist
It's just that from Zorn's lemma, we can extend an ADF to a MADF, but I'm not sure why should such an extension lie in $\mathcal{N}$
or I guess here we have it kind of the other direction, we have some "large" family from which we want to extract an MADF
I don't know what an MADF is, but I don't see there being any kind of problem with an application of Zorn to pull out something "maximal".
Which lives in the right space.
MADF just means a maximally almost disjoint family, where an almost disjoint family means a family of countable subsets which intersect in finite amount of elements
Presumably, $\mathcal{N}$ itself is an upper bound for any chain of ADFs. (Again, I don't really know what an ADF is, but I don't really need to, either).
I assume that the set of ADFs is ordered by inclusion. So apply Zorn to that.
Hmm... yeah, it might be just as simple as following the same argument but for subsets of $\mathcal{N}$. Let me try that
17:01
@TedShifrin I asked this before, but I think maybe you were offline at that time: at the end of page 190, when we invoke Theorem 5.1 (Implicit Function Theorem, simple case) to justify the process of implicit differentiation, shouldn't we have the additional hypothesis that $f(\mathbf{a})=0$?
If I pick $a=(a_n)\in l^{\infty}$ and define a linear map $M:l^{\infty}\rightarrow l^{\infty}$ by $(x_n)\mapsto (a_nx_n)$ is it true that the spectrum of $M$ is $\Bbb{C}\setminus \{0\}$ or how do I find the spectrum?
@user193319 I'm saying the claim is wrong
17:19
Ah yeah I think something like this works. For each $x\in X$ take a sequence $N_x$ convergent to $x$. This forms an ADF, let $\mathcal{M}$ be a MADF containing it. Let $M\in \mathcal{M}$ such that $M$ doesn't converge to any $x\in X^*$. For all accumulation points $y\in M' \neq\emptyset$ of $M$ we can find $M_y\subseteq M$ which converges to $y$. Then replace every such $M$ by $\{M_y : y\in M'\}$
2
Q: $f_x$ is Borel measurable and $f^y$ is continuous then $f$ is Borel measurable

Kelsey MiddletonI have to prove the following: Let $f: \mathbb{R^2}\to \mathbb{R}$ such that $f_x:y\to f(x,y)$ is Borel measurable for all $x\in\mathbb{R}$ and that $f^y:x\to f(x,y)$ is continuous for all $y\in\mathbb{R}$. Prove that $f$ is Borel measurable. What I have tried to do is to find a sequence of fun...

I believe that the posted answer is wrong.
Why is the function depending on n $B(\mathbb R^2)$ measurable?
17:55
has any one here published at arxiv? I have some basic question: Can one submit first to see if they get no latex errors or any other error, before doing an official submit? Mine has also some code and supplementary files for the code. I wanted to try first to see if I get any errors and if I need to fix the latex. Is such an option available at arxiv? I looked at the website and did not see anything.
 
1 hour later…
19:11
@lorenzo Yes. Better yet, look at the level set $f=f(a)$ (the value is inconsequential).
@TedShifrin thanks
@Koro The answers was a little to stingy with the details but his/her answer is correct. The function $\phi:\mathbb{Q}\times\mathbb{R}\rightarrow\mathbb{R}$ given by $\phi(r, x)= f(r, x)$ is measurable as $\{(r, x): f(r, x)<a\}=\bigcup_{r\in\mathbb{Q}}\{r\}\times(f^{-1}_r(-\infty,a))$. The sequences $f_n(x,y) = f(\lfloor nx\rfloor/n, y)=\phi\circ g_n(x,y)$ where $g_n(x, y)=f(\lfloor nx\rfloor/n, y)$.
@Koro: I meant to say $g_n(x,y) = (\lfloor nx\rfloor/n, y)$.
@OliverDíaz: Thanks a lot. . Introducing rationals in between... that's great! I understand. :-)
19:34
@Jakobian isn't it a Zorn's lemma argument?
 
1 hour later…
20:36
@Koro personally, i think that expressing the function as the limit of a sequence of measurable function is an easier approach.
21:07
@AlessandroCodenotti maybe, I was just wondering how to show that it's contained specifically in $\mathcal{N}$
to show that there is a MADF on some infinite set, you want to use Zorn's lemma, but that won't necessarily show it has the desired properties, I don't think
21:38
If I define a linear operator $S:l^2\rightarrow l^2$ by $(x_1,x_2,...)\mapsto (0,x_1,x_2,...)$, then how do I compute the operator norm?

I would have done it as follows:
Remark that $||Sx||_2^2=\sum_{k=1}^\infty |Sx|^2=\sum_{k=1}^\infty |x_k|^2$ hence $||S||=||x||_2\leq 1$. But now pick $x=(1,0,...)$ then $x\in l^2$ and $||x||_2\leq 1$. In particular $||Sx||_2=1$ hence $||S||=1$.

is this correct?
@cristallo yes, why do you have any doubt?
hahah this is in my nature, sorry..., but thanks for your answer!
22:35
@copper.hat could you maybe give me a hint how to compute the spectrum of $S$. I could show that $S$ has no eigenvalues, but computing the spectrum doesn't work. So I want to find all $\lambda$ such that $(S-\lambda I)(x)=(-\lambda x_1,x_1-\lambda x_2,x_2-\lambda x_3,...)$ is not invertible but is there a trick?
 
1 hour later…
23:48
Sick :(
Nasty cold

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