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 |
Theory and applications of probability and stochastic processes: e.g. central limit theorems, large deviations, stochastic differential equations, models from statistical mechanics, queuing theory.
109
votes
"Surprising" examples of Markov chains
I could go back to Markov himself, who in 1913 applied the concept of a Markov chain to sequences of vowels and consonants in Alexander Pushkin's poem Eugene Onegin. In good approximation, the probabi …
35
votes
On Mathematical Analysis of MathSciNet & MathOverflow
• Mathoverflow has been studied as a "complex network" in Social achievement and centrality in MathOverflow, by L.V. Montoya, A. Ma, and R.J. Mondragón.
The analysis distinguishes degree centrality (b …
26
votes
What is a cumulant really?
It might help to take a broader perspective: in some contexts (notably quantum optics) the emphasis is not on cumulants but on factorial cumulants, with generating function $h(t)=\log E(t^X)$. While c …
23
votes
Accepted
Intuition for Haar measure of random matrix
You want to think of the Haar measure $d\mu(U)$ as a way of measuring uniformity in the group $U(N)$ of unitary $N\times N$ matrices.
To form your intuition, consider $N=1$. You then have $U=e^{i\phi} …
22
votes
What makes Gaussian distributions special?
The comments list many reasons why the Gaussian distribution is special, but is it "the most fundamental" among all distributions, as suggested in the OP? I would like to argue that (1) conservation l …
22
votes
Accepted
What is known about the distribution of eigenvectors of random matrices?
If you choose the matrix elements of $A$ independently from a Gaussian distribution you have the socalled Ginibre ensemble of random-matrix theory. The statistics of the eigenvalues is known, see for …
16
votes
Accepted
Positivity of certain Fourier transform
it is positive for $m=1$, but not for $m=2$, see this Mathematica output:
16
votes
Accepted
Large-n limit of the distribution of the normalized sum of Cauchy random variables
This desired large-$n$ limit of the distribution $P_n(x)$ is calculated in Limit Distributions of Self-normalized Sums (1973). The Cauchy distribution is the case $\alpha=1$ on page 798. The singulari …
14
votes
How do mathematicians and physicists think of SL(2,R) acting on Gaussian functions?
The physics application I am aware of is not quite the one in the OP, but similar in spirit: in ray optics the SL(2,R) matrix
$$g=\begin{pmatrix} A & B \\ C & D \end{pmatrix}$$
describes the effect …
14
votes
Accepted
Proving the Replica Trick works
Q: Am I overlooking something important?
I think you are ignoring the role played by the thermodynamic limit.
There are two interplaying limits here, the replica limit $n\rightarrow 0$ and the thermod …
13
votes
Accepted
The Euler-Mascheroni constant and entropy
The earliest reference I have found for this result is Entropy and maximal spacings for random partitions (E. Slud, 1978).
Theorem 2.2 states that the entropy $W_n=-\sum_{i=1}^n p_i \ln p_i$ of the r …
12
votes
Accepted
Probability over a plane
well, to find a "natural way" to distribute the coefficients $b,c$ in the plane, you could treat this problem as the special case $n=2$ of a classic problem in random-matrix theory: take an $n\times n …
12
votes
Accepted
Expected edit distance
The only rigorous bound I am aware of is due to Gonzalo Navarro*
$$c\geq 1-{\rm e}/\sqrt{\sigma},$$
for an alphabet of $\sigma$ characters. Obviously, for the binary string ($\sigma=2$) this bound i …
12
votes
Accepted
Probability Brownian motion lies between $2$ functions
This is the problem of Brownian motion between two moving absorbing boundaries. For a linear time dependence some analytical progress can be made, but for arbitrary time dependence no closed-form solu …
12
votes
Why is conformal invariance only possible for massless theories?
This may be a less "clear-cut-no" than suggested by the mantra "there can be no massive particles in a CFT because that would introduce a scale": Anatol Odzijewicz has constructed a CFT for massive pa …