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00:04
@AkivaWeinberger Been thinking about some similar graph theory questions recently, (a combinatorial approach to finding the number of distinct unlabeled spanning trees on $n$ vertices, plus a variation involving minimal-weight spanning trees). Cayley's formula gives us that the number of labeled spanning trees on $n$ vertices is $n^{n-2}$, so I wonder if you could do an approach from the per
**perspective of directions as edge-labeling? You'd have in/out directions as your options, depending on the directed tree you're hoping to construct. Choose a root, and if your graph is connected, you'll always have |V|-1 edges that need to be labeled, and choice of roots shouldn't change that/impact how you reach edges further from the root
If anyone knows more graph theory, please edit/correct me -- just an intuition dump... but not near a proof haha. It's an interesting question :)
00:28
i ran into rooted forests when proving the positivity of some matrix elements last year math.stackexchange.com/questions/4873471/…
bringing matrices into it actually does lend itself to some ideas about some bijections, but the matrix has to be 'choice'
01:25
A Course in the Theory of Groups p.15 remarked that the distributive law doesn't hold for subgroup lattices in general. Can you give an counterexample?
think about lines in $\mathbb{R}^2$
Let $H,K,L$ be three distinct lines through the origin in $\mathbb{R}^{2}$. Then $H \cap L=K \cap L=\{0\}$, so that $(H \cap L)(K \cap L)=\{0\}$, while $(H K) \cap L=L$.
Ok
I noticed that subgroup lattice of $\mathbb Z$ is distributive. Is there a name for the groups whose subgroup lattice is distributive?
02:13
Reading about modus ponens, I read that since $[p \wedge (p \implies q)] \implies q$ is a tautology, we can deduce that $q$ is true when $p$ is true and $p \implies q$ is true because in the truth table of modus ponens the only case where $p$ is true and $p \implies q$ is when $q$ is true. Since $[p \wedge \neg (p \implies q)] \implies \neg q$ is also a tautology, can I deduce $\neg q$ is true (that is, $q$ is false) by showing that $p$ is true and $\neg (p \implies q)$ is true?
In the second line, I meant "the only case where $p$ is true and $p \implies q$ is true is when $q$ is true"
03:19
TFAE:
(1) the lattice of subgroups is distributive
(2) every finitely generated subgroup is cyclic
(3) the group is a subquotient of $\mathbb{Q}$
 
3 hours later…
06:33
Consider the set $S$ of all sequences of $0$'s and $1$'s with no consecutive $1$'s. Does there exist any one to one correspondence from $S$ onto the Cantor set?
 
3 hours later…
09:46
Are the solutions to all integrals actually obfuscations of root sums of some function, in disguise?
 
3 hours later…
12:33
@Anacardium this is clearly a subset of the Cantor set. conversely, take a sequence in the Cantor set and insert a $0$ between any two digits, this yields an injection of the Cantor set into $S$. conclude by CSB.
 
3 hours later…
15:14
@Thorgott: Hmm got it. Thanks.
It may seem a bit silly question to ask but I having hard time getting this. By double derivative test, it is easy to see that both $e^x$ and $e^{-x}$ are convex, as in both the cases the derivatives are strictly increasing function of $x.$ But then I found the following link : math.stackexchange.com/a/532690/512080
This tells us that both $e^{x}$ and $e^{-x}$ are simultaneously convex as well as concave which is possible if and only if they are linear functions in $x.$ This is completely absurd.
Where did I make mistake?
15:31
In the commonly accepted definition of field $\mathbb{K}$, do we assume $1_{\mathbb{K}} \ne 0_{\mathbb{K}}$? I was wondering about this because if we assume $1_{\mathbb{K}} = 0_{\mathbb{K}}$ then for each $k \in \mathbb{K}$ from the definition of unity follows that $k = k1_{\mathbb{K}} = k 0_{\mathbb{K}} = 0_{\mathbb{K}}$ and so $\mathbb{K}=\{0_{\mathbb{K}}\}$, not very interesting.
Moreover, if $1_{\mathbb{K}} \ne 0_{\mathbb{K}}$, we can deduce from the definition of inverse for product that $k^{-1} \ne 0_{\mathbb{K}}$ because assuming that leads to the contradiction $k^{-1} = 0_\mathbb{K}
yes, $1\neq0$ is one of the field axioms
 
2 hours later…
17:10
@Anacardium how does that link show that those two functions are concave? or how would you otherwise deduce that they are "simultaneously convex and concave"? the question there starts with a function that is assumed to be concave (which e^x and e^(-x) are not)
it's a one-way implication being proved there, not an if and only if. if that helps
18:04
@Thorgott To get back to an older discussion: $\Omega^\infty\colon \mathrm{Sp} \to \mathrm{An}$ is an equivalence when restricted to connective spectra on the domain and grouplike commutative monoids on its codomain
18:28
yeah, that's essentially the recognition principle
 
1 hour later…
19:30
@leslietownes: If $e^x$ is convex what is $-e^x$?
It should be concave. Right?
So according to the link $-e^{-x}$ is convex. Hence $e^{-x}$ is concave. Is there any mistake here?
@Anacardium look at the definition of the set S that the OP's function "f" is proved to be convex on
@leslietownes$:$ Could you please tell me the error that I am making?
@leslietownes: I see. But can't we similarly prove reciprocal of a positive convex function is concave?
well, no, as your example shows. but there's no conflict between your example and that result
e^x and 1/e^x are reciprocals of one another, and they're both convex, and neither is concave. we can be sure of that. right?
This is given as an assignment problem of a course in which I have been assigned as a TA. The problem states "Show that reciprocal of positive convex function is concave."
@leslietownes That's what I came up with. That's why the confusion arose.
well, in the sense of that exercise, is a "positive convex function" a function that is assumed to be positive and convex on all of R? note that this too is not the setup of the question linked above
19:40
So it's a wrong problem as stated.
@leslietownes The question in the link is more general.
i would talk with whoever set the problem and ask if they meant to ask something else. maybe there are some hypotheses missing that make it doable
You can prove the same thing if the setup of the linked question is changed to positive everywhere.
I think the same argument goes through.
but that would be about a function that is positive and concave everywhere. different setup
3
Q: Question About Concave Functions

joshuaIt easy to prove that no non-constant positive concave function exists (for example by integrating: $ u'' \leq 0 \to u' \leq c \to u \leq cx+c_2 $ and since $u>0$ , we obviously get a contradiction. Can this result be generalized to $ \Bbb R^2 $ and the Laplacian? Is there an easy way to see thi...

there aren't a lot of functions that are positive and concave on all of R. only the constant functions (see robjohns answer there)
and it's actually true that constant functions are both convex and concave and their reciprocals are too
if you just think geometrically about concavity, if you fix some point on the graph at which the function is positive, and the tangent line has a nonzero slope, the graph, being "stuck" under that tangent line, will have to cross the x-axis and can't be positive forever
Hmm. That is really nice to know. So the question would not be interesting if one replaces convex by concave.
so that thing about intervals and only looking at the set on which "g" is positive in the post linked above is i guess what you could call an essential part of the setup
i love how there's a robjohn answer for almost everything :)
19:49
Nice observation. But positive convex functions do exist. Such as $x^2, e^x, e^{-x}$ etc.
Because the tangent line is now passing below the curve at any point.
So even though it cuts the x-axis, the curve might not.
I get your point. Thanks a lot.
yeah it almost feels like there should be a complete symmetry between concave/convex, but there kinda isn't
or if there is i guess it would be between positive concave functions and negative convex functions :)
Hmm right.
By the same analogy negative convex functions do not exist which is non-constant; although plenty of negative concave function do exist.
20:28
What is the difference between an axiom and a tautology?
In both cases, we have a statement which is taken to be true, without the need of a proof
Am I wrong?
20:50
An axiom is a statement which is assumed to be true. It is true by fiat.
A tautology is a statement which is true by its logical structure, e.g. for any statement $P$, $P$ implies $P$.
it's raining or it isn't.
21:07
So what is the difference between assuming it to be true and being true?
Do you need to undertake some action for one, that is different from the other?
Again, a tautology is about the structure of a statement. An axiom is simply a statement which is assumed to be true.
The real numbers may be defined axiomatically. One axiom is that addition is commutative. The axiom is the statement "If $a$ and $b$ are real numbers, then $a+b = b+a$."
A tautological statement would be "Addition is commutative because addition is commutative."
Ok I see
21:43
I'm working the following exercise in Rudin's book (see below). To prove that $g$ is differentiable, we put $f(x)=y$ and $f(x+h)=y+k$ and $$\frac{g(y+k)-g(y)}{k}-\frac{1}{f'(x)}=\frac{1}{\frac{f(x+h)-f(x)}{h}}-\frac1{f'(x)}.$$ Now, for all $\epsilon>0$, there exists $\eta>0$ such that $$\left|\frac{1}{\frac{f(x+h)-f(x)}{h}}-\frac1{f'(x)}\right|<\epsilon\tag1$$ if $0<|h|<\eta$. But this is not what I want. I want $0<|k|<\delta$ to imply $(1)$.
I feel like I need to establish that $g$ is continuous. Rudin has this theorem that if $f$ maps from a compact metric space and is 1-1 and onto its codomain, the inverse is continuous. But $(a,b)$ is not compact :(
21:54
being differentiable is a local property, right? like continuity? maybe it suffices to restrict myself to a compact subset of $(a,b)$...hmm.
 
1 hour later…
23:18
Yes, I have a question
In this statement
A fundamental principle of modern mathematics is that the way to understand
a space M, given as some set of points, is to look at F(M), the set of
functions on this space. This “linearizes” the problem, since the function space
is a vector space, no matter what the geometrical structure of the original set
is. If the set has a finite number of elements, the function space will be a finite
dimensional vector space.
If you take the set with the element 1
What prevents me from taking an infinite nr. of functions
?
23:33
@imbAF What kind of functions are there on a set with one element?
A function can be anything can it not?
x+1, x^2 , \sqrt(1)
etc
Sure, but the space you're starting from has only point
yes
So the function is entirely determined by its value on the only available point
which i use as an input for different functions
Yes
23:35
Or in other words there is a 1-1 correspondence between real-valued functions on the space with one point and real numbers
x+1 and 2x both can be evaluated at that point
But the real numbers are a one dimensional vector space, so in particular a finite dimensional one, as claimed
I am sorry, are you in your statements limiting yourself to an arbitrary function
to one*
I'm taking arbitrary functions $\{x\}\to\Bbb R$
arbitrary function
23:37
@BenSteffan Do you know of any lecture notes to "Einführung in die Geometrie und Topologie" at Bonn?
Ok, so where is the issue here?
There is no issue, functions on this space are exactly the same as real numbers, hence a one dimensional vector space
Because the statement above implies that you have a set of functions that has as many elements as elements of the set that is used as the definition region
Maybe I missunderstand the meaning of 1D
No, it only says that the set of functions will be a finite dimensional vector space
One sec
23:38
Not that there will be finitely many functions
But isn't it an obvious thing and unrelated to the nr. of elements of the set, the nr. of elements of the vector space?
I will given an example
The dimension of the vector space will be the same as the number of elements in the set
if you have S={x} a set of one element, and you have G={x+1,x+2,....x^2...}, G is clearly infinite, or can be as such
As dimension of the vector space
I consider the nr. of different elements
is that not correct ?
Any (real) vector space will have infinitely many elements, regardless of its dimension
But that is what I consider as dimensions, the nr, of elements, at least that is what's the case in physics
For example the group of rotations, is an infinite group
because it contains infinite elements
And, in physics at least, the dimensions of a vector space are tied with the nr. of basis elements
from which all the elements of the vector space, can be generated
Idk, maybe I am misunderstanding something simple
@AlessandroCodenotti Ok I see that you relate the dimensionality with the basis of the vector space, which in case of real numbers, the basis is 1D and contains the nr.1
I get what you mean with dimensionality of the vector space
23:54
@ILikeMathematics No, but Munkres should serve you well
Actually, no, I do know of a set of notes: uni-bonn.sciebo.de/s/…
but they are a bit atypical: sections 5 & 6 are not usually taught as part of the course
Of course even the most basic topology course in Bonn is heavily algebraic topology oriented :P
it also has other, uh, idiosyncracies, such as not discussing separation properties apart from Hausdorffness
@AlessandroCodenotti It's not usually like that I swear :)))

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