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08:13
how to activate Mathjax in this chat-room any help?
08:23
@jackerysmith The above links are also in the room description.
And here is relevant post on meta: Should chat have TeX support?
08:35
@BalarkaSen, you there?
So I've been considering a question recently
I've been wanting a result along the lines of: open subsets of $\mathbb{R}^2$ are $\cong$ to $\mathbb{R}^2$ itsellf. Then I realized this isn't quite strong enough since we won't have an open annulus $\cong \mathbb{R}^2$. So I strengthened the hypothesis to being simply connected. This seems like it should work, but I'm having some trouble justifying it.
[Weird challenging question inspired from worldbuilding] Formulate Clarke's 3rd Law in terms of mathematical objects and prove/disprove/show undecided the existence of counterexamples to this law
In $\mathbb{R}$, this can be accomplished by screwing with the arctangent function to adjust its range and give a homeo. between $\mathbb{R}$ and an arbitrary open interval.
It will be very interesting if violation of it is shown to be a mathematical impossibility like the 3rd Law of Thermodynamics (in the absence of infinite processes), because it will mean we have a mathematical example of something that applies only to writing fiction
08:41
Oops, I guess open subsets have nontrivial interior by default, haha. I was originally thinking about closed subsets (where you need nontrivial interior) and a closed ball, which I think should be true as well
@KajHansen Correct, simply connected open subsets of R^2 are homeomorphic to R^2.
Oh, hmm. I might be able to get somewhere by working with the $S^2$ compactification for $\mathbb{R}^2$
This is a consequence of classification of surfaces.
But first, we need to express the concept "science" as a mathematical object. One key property of science is induction principle and reproducibility, thus those can help. Perhaps, we can start with some mathematical object that obeys some kind of induction principle
@Kaj In fact, simply connected open subsets of C are biholomorphic to the open unit disk by Riemann mapping theorem.
08:44
Ah, that gives an idea. I know that all surfaces in a particular homeomorphism class will have the same euler characteristic. Would the converse hold?
Compact surfaces are classified by Euler characteristic, yup!
I.e. everything with the same euler characteristic is homeomorphic? Maybe if we add the condition of no boundary...
When I say surfaces they have no boundary, yep.
Thanks for the references @BalarkaSen, this is def. pointing me in the right direction
What do you call surfaces with boundary, out of curiosity?
surface with boundary :)
08:46
haha
"Manifold with boundary" in general is the usual terminology
The ambiguity is present in Ted's text IIRC
Yeah I think so
Now if we consider surfaces with boundary as well, I'm guessing we can find a surface w/ boundary and a surface without that have the same euler characteristic?
In particular, if we're cutting out holes, each hole removed reduces the characteristic by $1$ since that's one less face in the triangulation (but same # of edges and vertices)
Exactly. So what's the Euler characteristic of an annulus?
08:49
Whatever that of a circle is, minus 1
I'd have to triangulate a circle to figure it out though; don't have those memorized off the top of my head
Hm, why is it $\chi(S^1) - 1$?
A circular disk I meant
Ah. Yes, $\chi(D^2) - 1$.
You can triangulate D^2 very easily: it's just a single triangle :)
haha! You're right :P
too much effort
I should really look at this sort of stuff again. Gauss-Bonnet and all that was really fascinating.
My spatial intelligence is really bad though, lol
doesn't an annulus have characteristic 0? Unless I messed up counting the cells of course
08:55
Imagine a triangulation of a disk with tons of triangles @AlessandroCodenotti
Remove an interior triangle, and you have an annulus
Everything is the same, but minus one face
oh, right, I constructed an annulus as a CW-complex and did the alternating sum of nnumbers of cells, but is way faster
@KajHansen V = 4 in your picture, not 3.
$\chi$ of disk = 1.
Alessandro is right.
Derp, forgot the middle vertex @BalarkaSen
Sorry bout that
Right. No worries.
Kind of interesting looking at homeomorphism classes in this way
Like, poking out a single point and cutting out a closed disk are equivalent
In the one, you lose a vertex, in the other, a face. But same euler characteristic in the end
09:00
In any case, annulus has $\chi = 0$, but so does the torus.
So with boundary, $\chi$ does not classify surfaces.
@KajHansen Yeah, exactly.
The fancy result is that "homotopy equivalent spaces have the same Euler characteristic"
It's kinda funny
I have this really bad habit
Where I will think of homeomorphisms and linear transformations and such as not being instantaneous. I.e. not just immediately expanding x4 in the case of the matrix $4I$, but instead doing it in a smooth motion.
And I always catch myself and have this reminder of "ahhh, so that's what homotopies are good for"
I've never actually studied much at all w.r.t. them though
Homotopy equivalence feels like a stronger result. Are there spaces that are homeomorphic but not homotopy equivalent @BalarkaSen ?
I'm not sure that question even makes sense how I've asked it
R^2 is homotopy equivalent to a point, but not homeomorphic :)
You should learn algebraic topology at some point.
I really should. I've been curious on looking into homology too. That the jordan curve theorem needs so much machinery intrigues me; I'd love to be able to understand its proof
@KajHansen The reason why JCT is really hard is because curves can be really pathological.
My favorite example is the Osgood curve, which is a simple closed curve of positive area.
For smooth curves, you do not truly need homology. Actually, that reminds to that a better idea for you is to study differential topology (which a bunch of people in this chat are into right now).
That's a really good starter, and you can integrate bits of algebraic topology into it with no problem.
Huh. Hopefully I can find a lecture series. I like watching those in conjunction w/ a textbook
09:13
[random]
Proving something is essentially a zero sum game, you either win, or the opposite win. The only case where it is not zero sum is that it is equivalent to the halting problem and hence undecidable
and this is why mathematics is so powerful, because the set of ambigurities is empty
Hm, I don't know of a lecture series, but we can always discuss things. The rest of the manifold topology crew (I think?) are @Akiva, @Astyx, @Daminark, @Alessandro by the way.
If you want a textbook reco, let me know.
Very cool. I know of Guilleman & Pollack
I think you forgot Danu, he is also into manifolds if I recall
Great, so you have my favorite book. GP + Milnor's intro to differential topology is pretty much a self-contained course.
Hatcher's AT for algebraic topology, of course. One should be able to integrate fundamental group, covering spaces, homology theory etc into it with no trouble.
What is truly missing in this is differential forms (although GP talks about it a bit, but I don't like that bit) and vector bundles. Hatcher's VBKT is very good for the latter but I literally don't know anything about forms. I am sure we can pick these up when we are sufficiently into difftop.
I don't know how in-depth all of you want to study this stuff though (I certainly haven't). Starting with GP is probably the first step, with picking up some multicalc (inverse function theorem and pals) from before.
I just watched the first two episodes of One-Punch Man. pretty good show
09:20
"and pals" haha
Ted looks like a Bond villain in the starred message
09:56
Hey @KajHansen how are you? Jasper here.
How can people who like manifolds not like Lee's trilogy? Hmm.
10:21
@MikeMiller I watched the ten episodes of Hindsight. Very good show, since Laura Ramsey is so pretty, but then the stupid company cancelled the second season and now there is nobody who wants to take up the project even though the script is already written.
 
1 hour later…
11:46
Nevermind, I read it backward
i have multiple models, each producing some estimate or inference about a variable, but i want just a single distribution over that variable. i need to average them somehow. what is the correct averaging procedure?
the models are Bayesian networks
Hello everyone. Having the fraction ((3^i)/Root(3^i)), one can multiply the nominator and denominator by the conjugate and get Root(3^i). I just wanted to ask if the same can be applied when the expression is in a summation (Sigma) ?
12:30
@Infinity why not?
I checked it in Mathway.com and it said that it cannot be simplified!!
I just wanted to make sure
I'd simplify it to 3^(i/2)
Assuming root = √
@Infinity
@SimplyBeautifulArt In that case, is there a summation formula for that?
You mean sum(√(3^i)) from i=0 to n?
Guys please help me out how to find the probability in this trial thing..
12:44
No, sum(3^(i/2)) from i=0 to n
@Infinity That's basically what I said
It's a geometric series
sum r^n, where r=√3
@SimplyBeautifulArt can u help mah bruh
You mean (1 - x^n) / (1 - x) can also be applied to sum(3^(i/2))?
@Infinity yes
@satyatech I do not do probabilities
12:48
@satyatech do you know binormial distribution?
Yah
@LeakyNun
Hi @satyatech what's up
@satyatech Do you understand that the number of event A is following a binormial distribution?
@satyatech Can you see that the number is following B(3, 0.4)?
Yah I got it thanks
@Hippalectryon how are you doing? :-)
13:03
@Waiting Great :-) and you ?
@Hippalectryon You're always great. :D Not that bad, doing some kind of research.
@Hippalectryon :o you are here
@LeakyNun :D
the mighty creator of chemobot
Chemobot is dead :( SE changed its authentfication API
I have to fix it
13:06
oh
@Hippa o/
@Astyx \o
@Balarka Are you there ?
13:23
@Fawad why do you suddenly ask question like that
13:53
@LeakyNun it was my brother .___.
@Astyx I am now.
@Fawad why would you let your brother use your account?
I had a (small) question on differential forms if you have time ? @Balarka
Sure, go ahead (you're already into forms?)
@LeakyNun me using SE my brother:I will also ask one question, me:ok no arguments
13:55
@Alessandro I see your ping in my inbox. No, that's exactly the point: annulus and torus have the same $\chi$, but are not homotopy equivalent.
@Fawad ...
@BalarkaSen I know, homotopy equivalent implies same characteristic, not the other way around, I read it backward earlier
Ah, ok.
Is " Ni-Y-G-Y-G-Y-A " a bad word , intelligent people will understand what I mean and I did n't say anything inappropriate this time cause it's your thinking problem this tym.
@Everybody
@satyatech it can be considered offensive, regardless of intelligence
14:05
In his lectures, Ted defines the differential forms $dx_I$ where $I$ is a family of indices $i_k$, and then $dx_I$ is the function that take $|I|$ vectors and returns the determinant of the matrix where the $k, l$ entry is the $k$-th coefficient of the $l$-th vector.
My guess is you can define those without relying on the actual coordinates by taking a familly of vectors $F = (v_1, \dots, v_k)$ and give $dx_F$ (I don't know how to note that) some sense.
Unless I'm mistaken you could do that by setting $dx_F (u_1, \dots, u_k)$ to be the determinant of the matrix where the $i,j$-th entry is $
@Balarka ^
@Astyx That is correct, if $|I| = k$, $dx_I(v_1, v_2, \cdots, v_k)$ is the determinant of the matrices whose entries are $dx_i(v_j)$ for $i \in I$ and $j \in \{1, 2, \cdots, k\}$. You don't need a basis to do this.
Does Ted really use a basis?
Hey @LeakyNun talk with my brother. He have some doubts.
In the lecture I'm watching yes, he uses $\Bbb R^n$ and the canonical basis. Maybe I'm not watching the right ones ?
@Fawad alright
Why we can't say pi equal to half circle? @LeakyNun
14:11
@Astyx Actually, sorry :P You need basis to define $dx_i$.
But can you not equivalently define it on any familly of vectors ?
No! Whenever you say "component", you are saying that you can write the vector as a linear combination of a given set of independent vectors. That's the most natural notion.
@Fawad why would you say so?
What I'm saying is that you can replace "i-th component" by "$\langle x_i, v_i \rangle$". then in more generality you wouldn't need the $x_i$'s to form an orthogonal basis, and it would coincide with the definition when they do
I had one problem in that
14:15
@Fawad show me
@Astyx That does not seem like a very useful notion. Think of all your $v_i$'s lying on 1-dimensional subspace. I am pretty sure $dx_I$ becomes 0 then.
You'd also get the nice property that it becomes 0 when the family is not linearily independant, which generalises the fact that it's 0 whenever one $i$ appears twice
Hi, I would like to ask you if there exists a pdf about the evaluation of the period of a periodic function. Could you suggest a good one? Thanks.
It's not really doing much more in fact, it's just taking a more abstract approach maybe ?
@Astyx So it's 0 when the family is not linear independent. That means the only true case you should look at when it is linearly independent, in which case you get back the usual notion :P
14:17
pi radians equals to 180 degrees ,180 equals to half circle,,why we can't say pi equal to half circle @LeakyNun
@BalarkaSen Yes that's my question :)
@Astyx Well, it's not always useful to abstractize everything in sight. $dx_I$ is not an arcane algebraic object; it's a measure of volume.
@Fawad because 180 degrees is an angle, and "half a circle" is a geometrical object
you can say "angle subtended by half a circle"
$dx_I(v_1, \cdots, v_k)$ measures the volume of the parallelpiped spanned by $v_1, \cdots, v_k$ when projected to the $I$-subspace.
@Fawad 180 is not equal to half circle either
14:19
"$I$-subspace" means the $x_{i_1} x_{i_2} \cdots x_{i_k}$-plane, where $I = \{i_1, \cdots, i_k\}$.
Ok right bro thank u
The reason I thought of this is because I found the definition of the exterior product relying on distribution sloppy (how can we be sure nothing fails ?)
(even though I know it is not)
Hm, what do you mean by relying on distribution?
Well he defined the $dx_I$'s, then stated $dx_I\land dx_J = dx_{I,J}$ and "then extend[ed] by imposing the distributive property" $(dx_I+dx_J)\land dx_K = dx_I\land dx_K + dx_J \land dx_K$
(with coefficients in front actually)
Please tell me a non-invertible function which maps two poisitve integers into one and from the output it is impossible to invert and get the two inputs.
14:27
@rudreshdwivedi a+b
@Leaky Nun It could be guessed...
@rudreshdwivedi it is impossible to invert and uniquely get two inputs
@rudreshdwivedi if a+b=9, what are a and b?
@Leaky Nun If someone knows that you performed addition, he can apply brutee-force
@Astyx Right. I can tell you another, coordinate-free way to do this if you want. I don't find it a lot inspiring, but you might like it.
Please do @Balarka
14:31
let me finish my snacks first
Sure :p
@Leaky Nun I need a non-invertible function which should also be revocable
@rudreshdwivedi but you can't exactly know what a and b are. There are many possibilities. That is what we call non-invertible.
$(a,b)\mapsto a$ @rudreshdwivedi
@Leaky Nun suppose I have two numbers [1 2] , I map them to a row vector [2 0 1] with a key [3 1] i.e.to the third and frst position. Now if someone compromises [2 0 1], we chnage the key and derives something new
14:41
@Astyx Done. OK, let's see.
I'm all ears
Or eyes
Say $V$ is a vector space. An alternative $k$-multilinear form is a map $T : V \times V \times \cdots \times V = V^k \to \Bbb R$ such that $T$ is linear in each component, and $T(\cdots, v_i, \cdots, v_j, \cdots) = -T(\cdots, v_j, \cdots, v_i, \cdots)$ (this is the "alternating" condition)
Modulo a choice of basis, $dx_I$ for $|I| = k$ is an alternating $k$-multilinear form.
Now, call the space of all alternating k-multlinear forms as $\bigwedge^k V^*$. This is a vector space, because scalar multiplying or adding alternating multilinear forms you get alternating multilinear forms.
@Astyx Note that $dx_I$ are nothing but a choice of basis for this space (let's call it $A^k$ for notational convenience).
Whoops :P
Right, I agree
Now we want to define wedge. This is going to be a map $A^i \times A^j \to A^{i+j}$.
One way to think about it is, for a moment, forget about the alternation, and just think about $k$-multilinear forms. $T, S$ be $k$- and $\ell$-multilinear forms respectively.
$(T\otimes S)(v_1, \cdots, v_k, w_1, \cdots, w_\ell) = T(v_1, \dots, v_k)S(w_1, \cdots, w_\ell)$ should, I think, be a $k+\ell$-multilinear form.
The RHS operation being wedge right ?
No, usual product ?
14:56
@Astyx Well, this isn't wedge, because even if $T, S$ alternate, $T \otimes S$ may not be alternating.
Yup, fair enough
"$\otimes$" is known as tensor product, by the way.
Oh cool, I had heard of it without knowing what it is
okay a bit unrelated to math but I'm filling my address in a webpage, and if it says 'Street Address (Line 1)' and 'Street Address (Line 2)' in two different lines, can I write part of my address in the first one and the rest of my address that doesn't fit in there in the next one?
@Astyx I am trying to remember how to get an alternating multilinear $k$-form $T_1$ out of a multilinear $k$-form $T_0$. This should be an averaging construction: look at various expressions of the for $(-1)^{\sign(\sigma)}T_0(v_{\sigma(1)}, \cdots, v_{\sigma(k)})$ where $\sigma$ is a permutation of $\{1, \cdots, k\}$ (an element of $S_k)$ and $\sign(\sigma)$ is $+1$ or $-1$ depending on if it is even or odd number of transpositions.
15:06
yes, the signature of $\sigma$ I know of those
What is $\operatorname*{cis}$ ?
I think you take average of those. $1/k! \sum (-1)^{\text{sgn}(\sigma)} T_0(v_{\sigma(1)}, \cdots, v_{\sigma(k)})$
And substract ?
@LeakyNun Chemobot is back :D
@Hippalectryon nice
15:12
@Hippalectryon and it's stronger than ever
Oh no, I'm being silly
@Astyx I think that is an alternating $k$-multilinear form.
Yup, I agree
@Fawad :D
So call this the "alternatization". You can define $T \wedge S$ to be the alternatization of $T \otimes S$.
15:14
@Fawad $\operatorname{cis}(x) := \cos(x) + i\sin(x)$
@LeakyNun so it is short representation?
@BalarkaSen And this coincides with $\wedge$ as we defined it earlier ?
Guys, we know that $V(x_1)=-\int_{x_0}^{x_1}F(x)\,dx$ and $V(x_2)=-\int_{x_0}^{x_2}F(x)\, dx$. So we have
$$
V(x_1)-V(x_2)=\int_{x_0}^{x_2}F(x)\,dx-\int_{x_0}^{x_1}F(x)\,dx=\int_{x_0}^{x_2}F(x)\,dx+\int_{x_1}^{x_0}F(x)\,dx
$$
Now how do I know for sure that I can add these two integrals? Because I've learned that we need $c\in[a,b]$, such that
$$
\int_a^bf=\int_a^cf+\int_c^bf.
$$
For all we know we have $x_0<x_2<x_1$. How can I do the calculation in that case?
$$
\int_{x_0}^{x_2}F(x)\,dx-\int_{x_0}^{x_1}F(x)\,dx=\dots=\int_{x_1}^{x_2}F(x)\,dx.
oh maybe I could change the order here: $\int_a^bf=\int_a^cf+\int_c^bf$ so show it. Oh yea, I think that's it. I can show that your "$c$" can be anywhere, by just changing the order.
@Astyx Modulo constants, yeah. I think you miss a factor of $k!\ell!$
Which gives unrealistic results like the volume of the $k$-cube is $1/k!$ :P
15:24
Also a question : if $S\in \bigwedge^k V^*$, does there always exists a matrix $B\in M_{n,k}(\Bbb R)$ such that $S(X) = \det(B^TX)$ (where $X\in M_{n,k}$ is the matrix of the $v_i$s in the basis $x_i$) ?
@BalarkaSen Really cool !
@Sha Take $a =x_1, b= x_0, c=x_2$ ?
yea I see what's going on @Astyx
you can still write: $\int_a^bf=\int_a^cf+\int_c^bf.$
even if $c<a<b$ for example
int hat case, your $\int_a^c f$ will go in the "opposite" direction
so you subtract, technically
Oh right I misread you. Yes this still holds, because you can write $\int_{x_0}^{x_2} = \int_{x_0}^{x_1} + \int_{x_1}^{x_2}$
ohh okay, yea that's also a way to explain it
So decompose the first integral and the first term of the RHS vanishes with the one you substract
but you can also show it generally with the $a,b,c$ thing :P and then you don't have to think about it ever again
15:31
Well yeah, but this is how you show it :p
oh right haha okay
@ShaVuklia sorry for my late reply; not sure if you still need help; but you could just use the fundamental theorem of calculus if you're uncertain.
uh yea I think it's solved :P
alright
Thanks for the help @Balarka I think I'll stop here from now, I'll probably continue later this evening
I think I wanted to make things more abstract to make sense of them in infinite dimension, when we don't have an orthonormal basis
15:48
hey @Astyx still about those integrals: you've showed a technique to show it for one specific case. However, there are 6 cases in total to consider (6 combinations of $a,b,c$). Is there a way to show it at once? Or should we treat the remaining 5 cases separately? (because the theorem holds for $a<c<b$)
What six cases do you mean ?
@ShaVuklia just use the Fundamental Theorem of calculus. No need to care about orders.
So we're talking about this: $\int_a^bf=\int_a^cf+\int_c^bf$. We could have $a<b<c$, or $c<b<a$, or $b<a<c$, etc.
@Leaky I have no idea how
ohh wait
maybe.. I do
Once you shown it for $a\le c\le b$ and $a\le b\le c$ you're done
The case $a\leq c\leq b$ is considered in the theorem, so that means all I need to show is $a\leq b\leq c$.
but let me think why that holds
15:52
(Hint: take the opposite of the integrals)
You mean to show it holds for $a\leq b\leq c$? Or you mean to show that all cases are covered then?
I think the latter
The latter
ok.. but if I consider the opposites, then I'm technically showing it one for one after all? @Astyx
hey @Ted
hey @Sha, @Astyx
but maybe it's easier to "see" it, if you realise you're just changing signs anyways?
15:58
@Sha Mmm yeah. In any case the important thing is that you know why it's true. Writting out all six cases is tedious and useless imo
so you don't really have to write it out, but you just see it works
@Ted Salut
I've been watching your lecture on differential forms
May I ask a few questions ?
Fall asleep yet?
No, I was really excited by them actually :p
Thus my questions
15:59
OK, questions.
So you define the differential forms $dx_I$ relying on the canonical orthogonal basis of $\Bbb R$ right ? So I was wondering wether one could have a more abstract approach with any familly of vectors $(x_1, \dots, x_k)$ instead of an orthonormal basis by taking $dx_I(v_1, dots, v_k) = \det((\langle x_iv_j\rangle)_{i,j})$ and thus generalise in infinite dimension
(for $k$-diff forms where $k$ is finite)
There are definitely more abstract approaches — I was trying to be as concrete as possible. You just need a basis for $V^*$. I guess I've never thought about existence of dual bases in infinite dimensions.
No, $dx_i$ is based on differentiating a coordinate function, not vectors.
You really need a basis for $L(V,\Bbb R)$.
Do we always have dual bases in infinite dimensions? I know we can run into problems when $V=V^{**}$ fails.
In this i.imgur.com/HMhlb5tl.png , how can I write e(h) in terms of $\epsilon_1 (h)$ and $\epsilon_2(h)$?
What are you saying "No" to ?
Just write out all the terms, @JingWeng.
I'm saying "no" to the family of vectors $x_i$, @Astyx. Those are actually dual vectors.
Remember that $dx_i$ is a notation for the dual basis vectors $\phi_i$, dual to the basis $e_j$.
16:09
Yes, it coincides with what I said I think
No, @Astyx. You're taking $x_i$ as elements of the vector space, not elements of the dual space.
If you're interested in the infinite-dimensional case (which I'm not, particularly), look at Lang's book on Differentiable Manifolds. He does infinite-dimensional manifolds throughout, including forms. But integration only makes sense on finite-dimensional manifolds :)
If you take $x_i = e_i$ you get (with what I said) $dx_i(x) = \det(\langle e_i, x\rangle) = \langle e_i, x\rangle = \Phi_i(x)$, no ?
But I'm telling you $x_i$ are NOT vectors. They're linear functions.
Oh right, it's just that my notations are terrible
Heya Demonark
16:12
I get $\f(x) \epsilon_1(h)+ f^{'}(x)*h g^{'}(x)+ f^{'}*h\epsilon_1(h)+\epsilon_2(h)g^{'}(x)*h+\epsilon_2(h)\epsilon_1(h)+g(x)\eps‌​ilon_2(h)+g(x)f^{'}(x)*h$ = $\epsilon(h)$
Don't use * when writing multiplication, @JingWeng. We are not computers.
Take a familly of vectors $(u_1, \dots u_k)$ in $V$ and set $dx_I(v_1\dots v_k) = \det \langle u_i, v_j\rangle$
When $(u_1 \dots u_k) = (e_1, \dots e_k)$, we find what we had before
Anyway I'll check that reference, thanks
How's it going Ted? And hey everyone!
Hi @Dami
@Astyx: I insist that you start with linear functionals. You actually don't need a dot product. Then you can build $\phi_I (v_1,\dots,v_k) = \det\big[\phi_i(v_j)\big]$.
The Jumble isn't so good today, Demonark, but I'll give it to you if you want.
16:16
$f(x) \epsilon_1(h)+ f^{'}(x)h g^{'}(x)+ f^{'}h\epsilon_1(h)+\epsilon_2(h)g^{'}(x)h+\epsilon_2(h)\epsilon_1(h)+g(x) \epsilon_2 (h)+g(x)f^{'}(x)h$, but I don't know how to handle the $f^{'}(x)h g^{'}(x)$ when showing $\frac{\epsilon (h)}{\|\h|}$ approaches 0.
@JingWeng: Shouldn't that term have $\|h\|^2$? Look carefully.
Let's see it nonetheless
OK, Demonark. "He asked her to marry him, and she said 'yes.' Then he ..." (8/1/5) AOSDROPPAOSTTE
@TedShifrin Yes, it should be $\|h\| ^2$ since $h\circ h$
Right.
16:18
@Ted But $\Phi_i$ is intrisinqually the dot product with $e_i$ (where the dot product is defined with $e_1, \dots e_n$ being orthonormal) right ?
Well, I'm using dot product to give the isomorphism $V^*\cong V$ in this case, @Astyx, but you don't need to. Of course, if you want to think of oriented volumes of parallelepipeds, an inner product structure will be nice.
But still, the point is that $dx_i\in L(\Bbb R^n,\Bbb R)$. $x_i$ is NOT a vector, it's a (coordinate) function.
Anyhow, @Astyx, other questions?
Proposed a toast?
Yes I agree about the $x_i$, I just had bad notations
Yup @Demonark.
I know the rest of the terms go to zero , but not the constant term $\frac{f^{'}(x)g^{'}(x)\|h\|^2}{\|h\|}$
as h approaches 0.
never mind
16:22
Huh? @JingWeng Simplify!
yeah nevermind
No other question for now ! :) (although I'm still 100% convinced by what you said, nevermind I'll have it figured someday)
@MatsGranvik LOL, no need to delete that. I value everything you say.
Thanks
I can delate what he said :p @JasonBourne
16:23
Speaking of multilinear algebra, @Astyx, this question might interest you.
@Astyx Oh I think there is no harm in that, so what was it?
He sais he also didn't believe in exercise IIRC, and something else I forgot afterwards
I think I'll just ignore all the people who claim to be mathematicians and don't believe in exercises.
Bonne résolution :)
@Astyx Something like one has to do a few just to see how to compute some things?
16:27
Puisque nous ne faisons que des exercices ici ...
@Jason Not quite. I'll tell you if I remember it
@Astyx Yeah, of course he may have deleted it because he no longer agrees with it. I have been trying to delve into the intricacies of the French R, which can be the voiced uvular fricative or the voiced uvular trill if emphasized, it seems.
Gesundheit @Mr. Bond :)
Hello! I prefer Theodore to Ted. =)
2
A: Proving $|A \cup B|=|A|$

Kenny LauPick a well-ordering for $A$ and label the elements of $A$ as $a_x$ where $x$ is an ordinal. Label the elements of $B$ as $b_k$ where $k$ is a natural number, and let $n$ be the number of elements of $B$. Define a bijection $A\cup B \to A$ as follows: $$f(v) = \begin{cases} a_{x+n}& v = a_x \la...

Does this require AoC?
16:31
My mother used to call me Theodore when she was angry, Mr. Bond. :)
Well-ordering is equivalent to AoC, @Leaky.
@TedShifrin I mean, does this require well-ordering?
I mean, this problem, not my solution.
So I've started looking at Lang's manifolds book and whoa, he is so sassy in his preface
Axiom of choice has at least 4 other equivalents I have seen, sometimes even treated in analysis books.
Lang was sassy in general.
Why treat Banach manifolds when you might as well do the Frechet ones?
So I don't really like that Lang manifolds book either.
16:32
Ultimate generality usually makes for terrible pedagogy.
You're just ridiculous.
@Daminark The book you should look at is Fundamentals of Differential Geometry, which supersedes his previous 2 manifolds books.
Not sure that I'd ever tell someone to learn geometry from Lang, anyhow.
I really looked to see that everything in the first book is in the second, and everything in the second is in the third, so the third is the best.
@Leaky: You should ask someone like @Alessandro or @Secret, who think about set theory and ordinal/cardinal arithmetic.
However, many people still reference the first two books.
16:35
You have no idea how to judge quality of a book, Mr. Bond, seriously.
OK. =)
I haven't studied much set theory, but I have Enderton's trilogy on logic.
For specifically set theory, I've heard good things about Halmos
Halmos covers too little. I would not buy that book.
Essentially does axiomatic set theory informally, using words, but that makes it beautiful writing.
His book on finite dimensional vector spaces is written quite similarly.
But his explanations are very clear, and he always takes care of the empty set properly.
Let me just quickly check whether uncountable sets needs AoC... If your $A$ is countable that is $x \in \{\omega,...,\omega_1\}$ then you will be fine to use countable choice as the comments said
16:46
Hey Zach!
How are you
Yo Zach, long time no see
Hi @Astyx
Everything's doing alright, how about you?
ok... while I seemed to find something, it appears my AoC background is not good enough to give a confident answer to that question...
16:49
Tired, still working on the animation.
And also maybe a little bit of Zelda.
@Secret alright. no problem.
So yeah, as long your set $A$ is countable, then countable choice is sufficient, otherwise we might need to ask @alessandro or @PaulPlummer
What's the question?
0
Q: Proving $|A \cup B|=|A|$

CodeHoarderi have to prove the following: If $A$ is infinite and $B$ is finite then: $$|A\cup B|=|A|$$ I've tried to use the fact that there's a bijection from $N$ to $A$, and use it to send objects from$B$ to $A$, and send $A$'s elements to themselves, but what do i do with the elements from $B$ which get ...

Does this require AoC?
Hmmm I'm not very familiar with choiceless cardinalities but I don't think it's needed after we agree on what "infinite" and "$|A|$" mean without AC

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