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Theory and applications of probability and stochastic processes: e.g. central limit theorems, large deviations, stochastic differential equations, models from statistical mechanics, queuing theory.

3 votes
Accepted

Expectation comparison inequality for concave function of symmetric random variables

It is true that there is a universal constant $c$ such that $\mathbb E[f(Z)]\le c\mathbb E[f(Y)]$. The best (smallest) value for $c$ that I can prove now is $c=2.187...$, but expect that it holds for …
George Lowther's user avatar
19 votes
Accepted

Anti-concentration of Bernoulli sums

The answer to your amended question is yes. In fact, for any $\epsilon\in[0,1)$ we have $$ \mathbb{P}(\vert S\vert > \epsilon)\ge (1-\epsilon^2)^2/3. $$ So, we can take $\delta = 1-(1-\epsilon^2)^2/3$ …
The Amplitwist's user avatar
10 votes

The only continuous martingales with stationary increments are Brownian motions

This question keeps getting bumped up, so (at long last) I'll convert my comments above to an answer. It is true that every continuous martingale $X$ with stationary independent increments is a Browni …
The Amplitwist's user avatar
13 votes
Accepted

What is a Gaussian measure?

You could alternatively try defining Gaussian measures as $2$-stable distributions. This does remove any reliance on finite dimensional projections, and even removes reference to topology. Let $V$ be …
The Amplitwist's user avatar
6 votes
Accepted

Symmetric groups and Poisson processes

This isn't a problem I've looked at before, but I've been thinking about it since reading your post, and there does seem to be an interesting limit. The following looks like it should all work out, bu …
Kroki's user avatar
  • 103
7 votes
Accepted

Compactness of the set of densities of equivalent martingale measures

The set $Z_{\mathcal{P^\ast}}$ is never compact except in the case where it is a singleton (or empty). This is for the general case with $S=(S^1,S^2,\ldots,S^d)$ being an $\mathbb{R}^d$-valued semimar …
Glorfindel's user avatar
  • 2,821
15 votes

Do distance functionals separate probability measures?

No. Suppose that $\Omega$ consists of four points arranged in a square, where adjacent points have distance 1 between them and opposite points have distance 2. Specifically, if the points are labeled …
George Lowther's user avatar
11 votes
Accepted

Extending state space to make a process Feller

Yes, it is possible to extend the state space with respect to which $Y$ is a Feller process. Then, $X$ will be a dense open subset of the extension $\hat X$. Furthermore, for any initial distribution …
YCor's user avatar
  • 63.9k
21 votes

When are probability distributions completely determined by their moments?

As has been mentioned in previous answers, the moments do not uniquely determine the distributions unless certain conditions are satisfied, such as bounded distributions. One thing you can say, is tha …
Community's user avatar
  • 1
11 votes
Accepted

The conditions in the definition of Brownian motion

No, it is not true that a process W satisfying the properties (1), (3) and (4) has to be a Brownian motion. We can construct a counter-example as follows. This construction is rather contrived, and I …
jeq's user avatar
  • 1,228
8 votes
Accepted

Random Walks in $Z^2$/$Z^2$-intrinsic characterization of Euclidean distance Part II

As I mentioned in my comment - what you are suggesting implies that the probability of being at (3,4) is the same as being at (5,0) for all large $n$. That seems unlikely, and would guess that $C_n=5$ …
jeq's user avatar
  • 1,228
15 votes

Brownian motion and spheres

As you suggest in the question, there is no such thing as a uniform measure on the unit sphere of infinite dimensional Banach spaces, such as $L^2\equiv L^2([0,1],\lambda)$ (λ=Lebesgue measure). Inst …
jeq's user avatar
  • 1,228
60 votes
Accepted

Mean minimum distance for N random points on a one-dimensional line

This can answered without any complicated maths. It can be related to the following: Imagine you have $N$ marked cards in a pack of $m$ cards and shuffle them randomly. What is the probability that t …
Jyotishraj Thoudam's user avatar
5 votes
Accepted

minimum of two probability densities

If $\mathbb{E}\left[\lVert[ X\rVert^d\right]$ is finite then the integral in the question is necessarily finite. As mentioned, this holds whenever $\pi$ is radially decreasing. However, in the general …
Michael Albanese's user avatar
4 votes
Accepted

Stochastic integrals as honest martingales — exponential damping

Yes, in this case it is true that $p$ is a proper martingale! Note that your integrand $\exp\left(-\int_0^tr_u du\right)$ is an adapted, continuous, and decreasing process bounded by 1. So, the follow …
Stéphane Benoist's user avatar

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