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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 …
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 $\delta = 1-(1-\epsilon^2)^2/3$ …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 $C_n=5$ …
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 …
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 …
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 …
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 …