Hi. I'm aware that mixing is a very general concept, but I'm considering just strong mixing coefficients vs covariance as dependence measures. The former always exists, while the latter doesn't have to. Are there any other advantages of mixing coefficients in this case?
So this lives in $V\otimes V^*\otimes V^*$, and we need a map that switches the last two factors. Call it $\sigma$. Then we're doing something like $I\otimes B + \sigma^*(I\otimes B)$.
@student, yes, it implies independence. Other than a couple of advantages specific to my context, I also came up with the fact that mixing coefficients don't need any kind of stationarity of the underlying process.
Proof: If $E_a$ is a collection of open sets then $\bigcup\limits_{a}E_{a}$ is an open set. Proof:Since $\forall$ a $E_a$ is open it follows that x$\in$ $E_a$ $\implies$ $\exists r>0$ : $N_r(x)$ $\subset$ $E_a$. Since x$\in$ $E_a$ it follows that $N_r(x)$ $\subset$ $\bigcup\limits_{a}E_{a}$. $N_r(x)$ is the same as an open ball.
@Ted, this is my proof for the closed one: let x be a limit point of $\bigcap\limits_{a}C_{a}$ hence every neighborhood of x has a point q such that q is not p and q is in the intersection. Assume that x$\notin$ $\bigcap\limits_{a}C_{a}$ that means $\forall$ a x$\notin$ $C_a$ which is a contradiction, because $C_a$ is a closed set.
@TedShifrin Assuming written theory means seiberg-Witten invariants , isn’t the foundations of that spin geometry ? And that is very much related to index theory? It seems they should be more excited about that...
@TedShifrin I think I proved it, but I need to make sure that i'm write about the following: Let A$\subset$B. If x is a limit point of A then x is a limit point of B am I right? It makes sense because A is a subset, but I don't know why I don't feel confident.
@Zee it's interesting, because I think that usually when an individual is trained to think a certain way he\she usually applies that way of thinking to other aspects in life
@mathsssislife that’s kinsa true but I think it goes the other way more so , people apply their life to the area they work in , so a visual thinker who went into ring theory would think about rings visually
@Zee yeah, I agree. The brain is quite interesting.
@TedShifrin, thats my proof: Let x be a limit point of $\bigcap\limits_{a}C_{a}$. Since $\bigcap\limits_{a}C_{a}$ $\subseteq$ $C_a$ $\forall$ a, it follows that x is a limit point of $C_a$ which implies that x $\in$ $\bigcap\limits_{a}C_{a}$
@TedShifrin I could consider isolated points, but what I want to show is that the intersection is closed (contains all its limit points), and since $\forall$ a , $C_a$ is closed (by assumption), that implies that the limit point is in the intersection
Last night dream, right here in math chat, Balarka, I and a woman user who has a nickname VectorSpacter are exploring a strange question about the trend of the maximum volume of regular polytope for each dimension, where I asked them about whether the nth term of the sequence is computable without having to manually compute all the regular polytopes for each n and then pick the n-polytope with the largest volume. The sequence posted is like this:
> 0, 1, 3, 4, 120 , ...
Now there's just one problem, because the real life counterpart of this sequence makes no sense:
This is because the number of regular polytopes in each dimension is:
> 1,1, infinity, 5, 6, 3, 3, (and so on all threes)
Thus the n-polytopes of largest volume with the largest number of (n-1) facets for each n are:
> 0,2,infinity,12,600, (the rest are n-cross polytopes)
The idea which the nth term of the sequence can only be obtained by having all possibilities for that term, and then select the term that fits the criteria, seemed to be interesting to investigate further. However, it is not very special because the sequence of prime numbers already have this property under the sieve of eratus
What's potentially more interesting, is if in addition to this, you have a sequence whoose nth term not only need to be computed in this manner, but that you also need information from previous terms. That could form some kind of intermediate thing between computable sequence and uncomputable sequence
@TannerSwett another interesting question requiring careful historical analysis. when did the sierpinski triangle 1st become referred to as a "fractal"? ps watched this last nite (thx CA16!) & its cool + has a neat switcheroo, glossed over: peano curve(?) transformed into a snowflake. ted.com/talks/benoit_mandelbrot_fractals_the_art_of_roughness
For the tunnel examples, when you have seen those enough, you will mentally started to see the inner surface to be "squished" when looking from the outside, such that for the observer who is transversing it, it looks flat to them, but as seen from the outside, they look squished
> Where a calculator on the ENIAC is equipped with 18,000 vacuum tubes and weighs 30 tons, computers inthe future may have only 1,000 vacuum tubes and weigh only 1 1/2 tons. ---Popular Mechanics, March 1949
Except, computers in the future, that is now, has zero vacuum tubes and weight less than a can of soda
Things like these does make you wonder, perhaps infinity does exists in some sense:
You are given a bunch of materials in order to approach some limit where almost none of that material is used in the final product, and then the future shows you a completely new way to make the product so that not only you can approach zero, but actually reach zero
A fundamental understanding on what exactly governs when a technological breakthrough occur, may provide us some ideas in mathematics on how we can reach those infinities without first axiomising their existence
I have a question: is any vector space $V$ over $K$ "something like" $R^n$? More formally, does there always exists an isomorphism between $V$ and $R^\alpha$, for some ring $R$ and ordinal $\alpha$?
In more rigorous language:
" V: a vector space having an uncountable base
S: The set of subspaces of V that have countable dimension.
Can we construct explicitly a chain in the poset S (ordered by inclusion), such that this chain has NO upper bound in S? "
Apparently, this chain must have unco...
I have the following problem: I want to know in bets when a bet is sure computing it
I mean, for example, when you have a two option bet (for example bet about over and under 2.5 goals), if both bets have a greater odd than 2.0, you will have a sure bet and you can bet 1€ to each of them to get money for sure
I would like to know how to compute this, because it is trivial when both has a greater odd than 2.0, but when not I do not know how to know it
Do you have any idea?
Also for three option bets, how could be compute that?
Hi guys. Let $G = \{\sigma \in S_6 | \sigma(k) \ is \ odd \ iff \ k \ is\ odd\}$. Show that $G$ has a normal subgroup $N$ with $[G : N] = 4$. How to approach this problem?