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00:00
How come $\mathbb{Q}\cap [0,1]$ isn't compact? I feel like if we pick the countably infinite rational numbers in this interval, we get an infinitely discontinuous set similar to the cantor set, which is compact.
@BenSteffan does that include CW-approximation at least?
@psie yes, I'm not saying the norms are the same, just that they induce the same topology
@Obliv the Cantor set is uncountable, it has a lot more points
like isn't it just $\{0,q_1,q_2,\dots,1\}$
why wouldn't that set be compact
is it closed?
cause you can find a sequence of rational numbers without a convergent subsequence
that doesn't converge to something in the set.. right
@sineofthetime i.e., it doesn't contain all of its limit points (every irrational between 0,1)
00:09
@Thorgott why would you want CW-approximation?
it does include cellular approximation
(but not CW-approximation)
oh, cellular is what I mean
yeah, that we have :)
I guess I should also say that you may assume $G$ is finitely generated
for reference, Hatcher's proof goes as follows: You show that $\pi_n$ of a wedge sum of $n$-spheres is a direct sum of copies of $\mathbb{Z}$ (Hatcher uses homotopy excision for this, but you can do it using cellular approximation). Then you look at the tail end of the l.e.s. $\ldots \to \pi_{n + 1}(X, X_n) \to \pi_n(X_n) \to \pi_n(X) \to 0$, and finally you use homotopy excision to see that $\pi_{n + 1}(X, X_n) \cong \pi_n(X / X_n)$ and the structure of the connecting map to conclude.
Put another way, if $G = \mathbb{Z} / n$ for some $n > 1$ and $f\colon S^n \to S^n$ is of degree $n$, then the question essentially reduces to showing that a map $g\colon S^n \to S^n \hookrightarrow S^n \cup_f D^{n + 1}$ is nullhomotopic iff its degree (as a map $S^n \to S^n$) is a multiple of $n$
There is, in fact, a way to do this """elementarily""", according to Fomenko-Fuchs, but it pretty much sucks
It's essentially a PL-approximation argument
on the other hand this is an exercise in a class I'm tutoring (obviously; why else all these restrictions? :) in which moreover the exercises are usually on the easy side, so there should be an easy solution
in a nutshell, I'm trying to figure out whether somebody messed up writing this exercise or whether I'm just stupid
00:27
Let $K$ and $L$ be nonempty compact sets of $\mathbb{R}$ and define $$d = \inf\{|x-y|:x\in K \text{ and } L\}.$$ I've shown that if $K$ and $L$ are disjoint, $d>0$ but what if $K,L$ aren't guaranteed to be closed? I said no, but idk how I'd prove this.
I wanted to say consider an open set $A$ and its set of limit points $L$. by definition $L = \{x: \forall \varepsilon>0, A\cap V_{\varepsilon}(x)\setminus \{x\}\neq \varnothing\}$
well $L \cap A \neq \emptyset$ :)
consider intersecting with the complement of $A$ and this will work
but you could also give a concrete counterexample
hint: intervals
well, it will usually work: of course $A$ could also be closed, and then the other set is empty
anyways I'm converging to bed
Thank you
Good night
It's because in the underlying logical foundations
by convention, the law of excluded middle tells us that $A\cap A^c=\varnothing$ which is probably an axiom or something
01:14
@BenSteffan "if" is an explicit verification, "only if" follows by looking at the induced map on $H_n$, I think
 
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03:11
@XanderHenderson Thanks
@SoumikMukherjee Been raining here constantly since last night. What’s the weather near you like?
 
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04:13
@SohamSaha Same
 
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07:00
"Let X_1, X_2, ... be a sequence of independent random variables having a common distribution, and let E[X_i] = μ. Then, with probability 1, (X_1+X_2+···+X_n)/n→μ as n→∞" -----In the above statement I think that the phrase, "with probability 1" is unnecessary, for when someone says a sequence of nos. converges to a point then it is evident that it converges to that unique point only and there is no chance that it may converge to any other point. Isn't it? Am I missing something?
07:24
Consider an example: $X_k$ have Bernoulli distribution with $p = 1/2$ (that is, $X_k = 0$ with probability $1/2$, and $X_k = 1$ with probability 1/2).
There is a realization of these random variables where all $X_k = 1$. In this case $\left(\sum_{k=1}^n X_k\right)/n = 1$ and does not converge to $1/2$.
But the probability of this realization is $0$.
The statement "$\left(\sum_{k=1}^n X_k\right)/n \to \mu$" defines a random event, and the probability of this event is $1$
@VladimirLysikov what do you mean by 'realization'? Maybe, you mean the event when all the random variables take the value 1. But then why is the probability of this situation zero?
At what level do you study probability?
By realization I mean an elementary outcome $\omega$ such that $X_k(\omega) = 1$ for all $k$
The probability of $X_1 = X_2 = \dots = X_m = 1$ is $2^{-m}$, and the probability that all $X_k$ are $1$ must be less than or equal to that for every $m$, so it can only be $0$.
@VladimirLysikov I have taken probability as a discipline specific elective and it's my first time studying these things... so, I am not quite familiar with the jargons.
07:40
There is somewhat a mismatch between how the law of large numbers is explained and used, and the formal statement.
In the formal statement, we have a sequence of i.i.d. random variables $X_1, \dots, X_k, \dots$. And this means that we have a random experiment which gives us the whole sequence (not the variables $X_k$ one by one, but the sequence at once).
That is, there is a probability space $(\Omega,\mathcal{A},\mathbb{P})$ at for every outcome $\omega \in \Omega$ we have the values $X_k(\omega)$ for all $k$.
When we use the law of large numbers, we usually have a *repeated* experiment, which gives a sequence $X_1, X_2, \dots, X_k, \dots$ one by one
And in reality we never get the whole sequence at once, but we can still say that the average $\frac{\sum_{k = 1}^n X_k}{n}$ is not far from $\mu$ for large enough $k$ with high probability
But that is a different statement, it's not convergence with probability $1$, it's "convergence in probability".
The statement of convergence with probability $1$ is stronger
 
1 hour later…
09:02
Nothing to say, nothing to add
Maybe its regression
SoG
SoG
A Banach space Y has the metric extension property if for every Banach space X and every vector subspace M of X, Y has the metric extension property from M to X.
If dim(M) is finite, we call finite metric extension property.
Could you give an example of a Banach space satisfying finite metric extension property that doesn't satisfy metric extension property?
@leslietownes
SoG
SoG
09:34
@leslietownes Any hint?
SoG
SoG
10:22
A nls satisfying metric extension property is isomorphic to C(S) where S is Stonean.
10:53
@SoG how do you prove that
Maybe one can extrapolate the proof to obtain a non-Stonean example with finite metric extension property
11:23
At least how do you prove that $C(S)$ has metric extension property
 
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SoG
SoG
13:32
This 1958 paper of Morisuke Hasumi described the said isomorphism.
 
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15:07
so this
it looks like its really just that Hasumi doesn't prove the theorem
he just does proves it for $\mathbb{C}$ from a theorem for $\mathbb{R}$
the relevant paper is that of Nachbin
I'm not sure if by unit sphere he means set of $x$ for which $\|x\| = 1$ or $\|x\|\leq 1$
anybody who calls the latter a sphere earns my disfavor
15:23
yeah I think his spheres are just closed balls
because he talks about extreme points of spheres, and that's mainly for convex subsets
So the theorem is that a normed space has metric extension property if and only if if $\{D(a_i, r_i) : i\in I\}$ is a collection of closed balls with each two pairwise intersecting, then their intersection is non-empty
kind of like finite intersection property, but just for two sets at a time
now its written that this is equivalent to the normed space being $C(X)$ for $X$ Stonean if additional the unit closed ball has extreme points
which is weird because the paper of Hasumi doesn't assume that, but it uses paper of Nachibin
is that automatic for complex normed spaces? @leslietownes
oh sorry I am looking only at sufficient condition
 
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SoG
SoG
16:38
Taken from the book TVS by Narici and Beckenstein.
17:01
What if you were to take $C(X)$ where $X$ is a Stone space that's not Stonean. Would that work?
say, the Cantor set $\{0, 1\}^\omega$
according to this theorem there is some correspondence between spaces with metric extension property and complete Boolean algebras
perhaps a similar correspondence can be made between Boolean algebras in general
@Thorgott but then you don't know how to relate the induced map on $H_n$ to that on $\pi_n$... :')
we don't need that
oh, I see what you mean
if the degree is not a multiple of $n$, we induce a non-trivial map on $H_n$ (I'm realizing now that I used $n$ for two different things...), so aren't null-homotopic
17:20
or perhaps basically disconnected compact Hausdorff but not Stonean
@Thorgott yeah
thanks
I'm not so sure if this type of argument pushes through to the general case, though
this is enough I think
you can do this for $\mathbb{Z} / n$, then extend to $G$ a general finitely generated abelian group by the structure theorem and wedge sums
and for wedge sums I can use the usual "skeleton of product" trick and cellular approximation
17:52
oh I missed the part where we only cared about $G$ abelian
then yeah, I think this works
well if $G$ is non-abelian, then you must have $n = 1$ anyways, and that case you can do using van Kampen
err, I spoke without thinking, right
I've never realized/thought about that this case is actually so elementary
well, tbf it just off-loads the work to proving $\pi_n(S^n)\cong\mathbb{Z}$, which requires work
I'm quite surprised that you can do it this way
As I said, Hatcher relies on homotopy excision to do it
and so do most other texts
...of course, because this proof doesn't work in general for non-finitely generated $G$
iirc Hatcher does this PL argument first for homotopy excision, which is at the same time how he derives $\pi_n(S^n)\cong\mathbb{Z}$
so the sequence couldn't really change
18:09
right
 
3 hours later…
21:13
Hi everyone, do we have something called "dual numbers" algebra? Is this the right term for manipulating these numbers?
we have something called "dual numbers"
in here, en.wikipedia.org/wiki/Dual_number it is briefly mentioned.
What is the right term for this type of algebra?
type of algebra in what sense of the word
I see Clifford algebra and geometric algebra
it's a commutative $\mathbb{R}$-algebra
It's also the exterior algebra on $\mathbb{R}$
21:18
I've seen "exterior algebra" which confuses me more.
but this is the answer to your questions...?
I think thinking of it as an exterior algebra is a little silly since it's the trivial case of an exterior algebra
but sure, you can, and sometimes it's useful
I'm using the dual quaternion algebra to model the robot. I can manipulate them. My supervisor calls them dual quaternion algebra but I don't see this term in any mathematical books.
I don't feel using dual quaternion algebra as a common term for this type of algebraic structure.
dual quaternion algebra sounds like a concrete mathematical object to me, not a category
In his papers, sometimes he refers to geometric algebra and sometimes he mentions Clifford algebra.
ask him what precisely he means by "algebra"
21:23
not friendly guy.
algebra= the class where we multiply by $1$ and add $0$, just in some fancy ways
well there's nothing we can do for you
there's a base meaning of the word "algebra," and even this base meaning changes depending on where exactly you are
and then there's other things with more structure that people also call algebra, mostly with various qualifiers
e.g. clifford algebras
but if your field is non-mathematical then the base meaning of the term could well be something like that
otoh the dual numbers really don't support that much structure :)
I'm asking under which large category (i.e., algebraic structure) we can deal with dual numbers.
I already told you
exterior algebra, for instance
more generally, commutative $\mathbb{R}$-algebra
there's no single correct answer here, it depends on what you want/need
when I read about Exterior algebra I don't see anything related to dual numbers (i.e. $\varepsilon^2 = 0$ and $\varepsilon \neq 0$).
21:29
why would you, it's a much more general concept
the dual numbers are (isomorphic to) $\Lambda \mathbb{R}$
the exterior algebra on the vector space $\mathbb{R}$
figuring out how this isomorphism works is an elementary exercise in the definitions that is worth doing yourself
Do Clifford, geometric, and exterior algebra represent same thing?
@BenSteffan Never thought of that way of identifying dual numbers; enlightening.
@BenSteffan I know this fact
@CroCo no, otherwise we wouldn't bother with 3 names for it :)
but they're all related
Heck, what about C*-algebra and Lie algebra?
And the completely unrelated $\sigma$-algebra?
21:33
@DannyuNDos what about them? :)
Lie algebra is well defined but Clifford and geometric difficult to understand.
the notations are aberrant.
I guess the point here is that the term "algebra" has so many different meanings.
yes, but $C^*$-algebras and Lie algebras share the same base meaning of the word "algebra"
$\sigma$-algebras, on the other hand, don't
@DannyuNDos I'm referring from the algebraic structure perspective.
Group, ring and fields.
I know dual number algebra forms a ring.
they are not treated similar to complex numbers which form a field.
may be dual number algebra doesn't have many applications.
$\mathbb{R}[\epsilon] = \mathbb{R}[x]/{\left\langle x^2 \right\rangle}$
@CroCo Yeah, cause dual numbers don't admit division.
21:41
but why some say dual numbers are Clifford algebra? When I read about Clifford algebra and I don't see any thing related to dual numbers.
I'm missing something here.
when I search in books, I see dual numbers related to applications specifically, modelling rigid bodies
when I try to search about them in pure math books, I don't see them.
Anyways, thank you for your time. I need to keep digging in exterior algebra as @BenSteffan suggested.
22:15
@Thorgott Do you perhaps know what Lurie means by $\mathcal{C}^\simeq$, where $\mathcal{C}$ is some (functor) $\infty$-category? $\mathcal{C}^\simeq$ should be a Kan complex, but I can't find this notation documented anywhere in either HA or HTT.
it should be the maximal $\infty$-groupoid inside $\mathcal{C}$
that's the thing that makes the most sense, but do you know where this is defined?
the HTT index is not very helpful :/
Meeh...another omission by the authors.
I'm working an exercise where I'm trying to prove that every linear map on a finite dimensional normed space is continuous.
It has already been shown that the linear functionals are continuous, and so they write $T(x)=\sum L_j(x)w_j$, where $L_j(x)=x_j$ are the coordinate functionals on $\mathbb R^n$ and $w_j=T(e_j)$, $e_j$ being the standard basis vectors in $\mathbb R^n$. Then they simply say that $T$ is continuous, but nowhere in the book have they defined continuity of a possibly vector-valued function. What I'm getting at is; $f$ is continuous iff the components are.
A book on topology should have this as a theorem/proposition, or?
no, I don't think so
psie, no offense, but it is not uncommon for people who ask questions like this to be unreliable narrators of what their textbooks do and do not disclose :)
what book
22:24
this is true if the codomain carries the product topology
not sure if/where it's defined there, I know the notation from Land's book
maybe it's an error on lurie's part
searching for "maximal" also doesn't bring anything up
oh well
@leslietownes Introduction to Topology by Gamelin and Greene
well, my understanding so far is that topology talks a lot about continuous functions. How can you know if a function is continuous if that result is not in the book?
@BenSteffan yeah lol
but I'm pretty positive that's what he would mean without further context
@psie most topology textbooks don't concern themselves overly with normed spaces
normed spaces are closer to analysis
22:27
@psie didn't you already show that any two norms on a finite-dimensional real vector space are equivalent
then, boom, you know what the canonical topology on that space is
the codomain is not finite-dimensional here :)
indeed
oh, then the space just comes with a norm
precise statement: any linear map between normed spaces where the domain is finite-dimensional is automatically continuous
psie: a normed space is, among other things, a metric space. does the book by any chance define or discuss continuity in the context of maps on metric spaces
@leslietownes it does. There is a separate section devoted to continuity on metric spaces and a couple of exercises, but I've looked at all of the exercises very carefully and haven't found any that discuss continuity of functions that map to a product metric space
22:34
you're not mapping to a product metric space
this has nothing to do with products
the codomain is a normed space, the norm induces a metric and the metric induces a topology
I thought it has to do with projections, which deals with products. Like in measure theory :)
and the topology induces joy
psie, i downloaded a copy of some version of this book which has an exercise in a section 7 called "prove that any linear functional on a finite dimensional normed space is continuous. use this result to prove that any linear operator from a finite dimensional normed space to another normed space is continuous."
preceding this exercise are various characterizations of the continuity of linear maps on normed spaces, as well general discussions of how normed spaces are metric spaces and general discussions of continuity of maps on metric spaces.
@SineoftheTime topology isn't inducing a lot of joy for me right now :/
22:37
oh wait
the author is suggesting that it should not matter to you what the target of the linear map is, other than that it is a normed space. e.g. whether it arises as a 'product' or whether you indeed know anything about it other than that it is a normed space, apparently does not matter
are you telling me that the entire confusion here is caused by turning "functional" into "map" and then wondering about the codomain?
@BenSteffan Spain without S
bread but in French
i would rephrase the exercise as: "let X be a finite dimensional normed space, and let Y be any normed space whatsoever. prove that any linear map from X to Y is continuous in the sense of continuity appropriate to equipping both X and Y with their norm topologies"
the sequencing of the exercise indicates that there is some connection between this result and the special case when Y = R is the real numbers
i don't think it's fair to say that the authors are forgetting to do something here. maybe the phrasing of the exercise leaves something to be desired (e.g. i don't like the word "operator" being used as a synonym for "linear map" when the domain and codomain spaces are not necessarily the same), but that's different.
22:39
@leslietownes you're right, there are some characterizations of continuity of linear maps, e.g. continuity is equivalent to being bounded or continuous at $0$.
@leslietownes OK. So when the authors say that $T(x)=\sum L_j(x)w_j$ is continuous because $L_j(x)$ are continuous, where $L_j(x)$ is a continuous function and $w_j$ are vectors, what is their justification?
@psie one approach to the general result is as a consequence of a representation like this of T, together with the triangle inequality, the characterization of continuity of linear maps on normed spaces in terms of boundedness, and the [assumed known] boundedness of linear functionals. except, in general L_j is not "a coordinate functional on R^n," just some linear functional on the domain of T. nor are the e_j "standard" basis vectors, just basis vectors.
psie: the triangle inequality and the boundedness of the L_j will give you a bound for ||T|| as a finite sum of things that look like ||L_j|| ||w_j||
ok 👍
||sum L_j(x) w_j|| <= sum ||L_j(x) w_j|| = sum |L_j(x)| ||w_j|| <= sum ||L_j|| ||x|| ||w_j|| where we are using the assumed or proven boundedness of each L_j to derive the last inequality.
@leslietownes thank you leslie! :) now I understand and I see how the f being continuous iff its components are is irrelevant, though still a cool result (which can be found in e.g. Spivak's book on manifolds)
22:56
yeah, you can think of it as a kind of generalization to spaces whose elements might not literally have 'components.' although finite dimensional normed anything is identifiable with something that does and you sort of see that here if you invite the reader to think of elements of X in terms of the basis e_j and at least elements in the range of T as combinations of the w_j (there is no guarantee that the w_j's are linearly independent, so this maybe isn't literally "components" in Y)
23:36
@leslietownes I have a silly question perhaps, but how do we know ||w_j||<oo? According to the text, w_j=T(e_j). I see how we can factor out ||x|| out of the sum and then take the sup over all ||x||=1 to perhaps conclude T has a finite operator norm.
how many elements of norm $\infty$ does a normed space have?
@BenSteffan good question :) let me think about this
if you need to think about this you really need to revisit the definition of norm
@BenSteffan well I know $\|x\|=0\iff x=0$, that's all the definition of norm says (plus triangle inequality and $\|x\|\geq0$)
homogeneity too
Ah, so I can have $\lVert x \rVert = \text{apple}$ as well?
what's a norm?
23:46
a function from the normed space to $\mathbb R$
ah ok
I think I understand
so not $\overline{\mathbb R}$
yay :)
to be precise, it's a function from a vector space
normed space is vector space + norm
to be precise, it's a function from a real vector space
:))
yeah, good points 👍
23:50
why real?
@SineoftheTime you could put rational as well
but you can't make sense of the definition over a general field easily
I guess "ordered field" is probably enough, but that's already very restrictive

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