Search Results
Search type | Search syntax |
---|---|
Tags | [tag] |
Exact | "words here" |
Author |
user:1234 user:me (yours) |
Score |
score:3 (3+) score:0 (none) |
Answers |
answers:3 (3+) answers:0 (none) isaccepted:yes hasaccepted:no inquestion:1234 |
Views | views:250 |
Code | code:"if (foo != bar)" |
Sections |
title:apples body:"apples oranges" |
URL | url:"*.example.com" |
Saves | in:saves |
Status |
closed:yes duplicate:no migrated:no wiki:no |
Types |
is:question is:answer |
Exclude |
-[tag] -apples |
For more details on advanced search visit our help page |
Banach spaces, function spaces, real functions, integral transforms, theory of distributions, measure theory.
9
votes
Conceptual explanation for the appearance of entropy in $\frac{d}{dp}\|x\|_p$
As Von Neumann said "Nobody really know what entropy is." so it is quite difficult to give a conceptual reason. However I think your calculation appears and can be interpreted in the statistical-mecha …
6
votes
Accepted
Random matrix is positive
Let $u\in \mathbb{R}^n$ as $u_i=i^{-1}$. Then $$ \mathbb{E}\big[\langle u Au\rangle \big]=\sum_{i=1}^n i^{-1}-\frac{\epsilon}{2}\sum_{i,j\leq n}\frac{1}{ij}\approx \log n -\frac{\epsilon}{2}(\log n)² …
5
votes
Rigorous justification for this formal solution to $f(x+1)+f(x)=g(x)$
The "miracle" is just that $T$ is also defined $\mathbb{R}_n[X]\rightarrow \mathbb{R}_n[X]$, a elementary linear operator on finite dimensional space of polynomes. And on this set we have
$$T=\begin{ …
4
votes
Convexity of spectral radius of Markov operators, Random walks on non-amenable groups
I have the following counter example:
Let $I=Z_2\times G$ with $G$ a free groupe of rank $d$ and we will take $d$ large. $P_1$ is as follow
$$P_1 \begin{cases}(1,w)\rightarrow (0,w):\forall w\in G, …
4
votes
iid random operator and its spectrum
You should have a look on the book "Product of random matrices and application to Schrodinger operators" (Lacroix, Bougerol) http://fr.booksc.org/book/32773481/48bc02
or the paper of Le Page "Théorème …
3
votes
Exponential decay of solution in $L^p$ with $p>2$
You have the very powerful probabilist theorem $$ u(t,x) = \mathbb{E}_x(u(0,B_{t \wedge T})) $$
where $B_t$ is a Brownian process starting at $x$ and $T$ is the stopping time $T=\inf{s : B_s \notin \O …
2
votes
Accepted
Approximation of a compactly supported function by Gaussians
Case 1: Let $f\geq 0$. We consider the following easier problem :$$ \|f-G_n^*\|_{L^1}\leq \inf \{\|f-G_n\|_{L^1}:a_{i,n}\geq 0, \mu_{i,n}\in \mathbb{R}, \sigma_{i,n}>0 \}. $$
Since $f\geq 0$, we have …
2
votes
0
answers
110
views
Boltzmann equation and the meaning of the marginals
I have a question related to the boltzmann equation and the meaning
of the marginals.
Let me first introdiuce the model and notation :
(see for example https://arxiv.org/abs/1208.5753)
We study th …
1
vote
Divergence of Green function of random walks at spectral radius
I would advise you to first look on random walk on trees. I suspect non-amenable group has been treated a lot as well but I can't find a good reference.
For example the random walk on the 4 regular t …
1
vote
Non-linear translation invariant functionals on $L^1$
You can use Fourier transform (it has been invented for that). Call $\hat{u}(k)$, $k\in \mathbb{R}^d$ the Fourier transform of $u$, for example any function depending only on the absolute value of $|\ …
1
vote
Proximal Operator image of convex functionals
I am not sure that it is going to work but it seems to me that this is the Legendre transform:
$$\|x-h\|^2+\frac{1}{2}f(h)=\|x\|^2-2\Re\langle x,h\rangle+\|h\|^2+\frac{1}{2}f(h) $$ (Where we see $H$ a …
1
vote
Accepted
Relaxed/Truncated Version of Wiener's Tauberian Theorem
No, you have the simple counter example: $$g_{T}(x)=\frac{1}{T}1_{0\leq x\leq T}. $$
Since $f\in L^1$, there exist $M>0$ with $\|f|_{[-M,M]}\|_{L^1}=\|f\|_{L^1}-\epsilon/N$. Moreover for any $(\beta_i …
0
votes
Inner radius of a random convex hull
What you want looks like very much the "Uniform Uncertainty Principle"
in this paper of Candes and Tao https://statweb.stanford.edu/~candes/papers/OptimalRecovery.pdf
which is proved for both Bernoul …
0
votes
Decay of eigenfunctions for Laplacian
I denote $\Delta^{(n)}$ the discrete Laplacien on $\mathbb{C}^n$ (ie the $n\times n $ matrix with diagonal $-2$ and upper/lower diagonal $1$.)
Consider the scaling $ v \rightarrow \phi(t) = \sqrt{n} …
0
votes
Random matrix with given singular values
What you want for 2- seems to me similar to a large deviation result (https://en.wikipedia.org/wiki/Large_deviations_theory) of speed $n^2$ for the diagonal term
$$\frac{1}{n^2}\log\mathbb{P}(\sum_i …