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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.

2 votes
1 answer
748 views

Sub-exponential tail implies Poincare inequality

Assume we have a probability measure $\mu$ on $\mathbb R^n$. Assume it satisfies $$ \mu(||x|| > u) \le Ce^{-au} \ \ \forall u > 0 $$ In other words, its tail is dominated by an exponential function. T …
Andrey 's user avatar
1 vote
0 answers
217 views

Exponential Ergodicity for Reflected Brownian Motion in a Bounded Domain

Assume we have a reflected Brownian motion in a smooth bounded domain $D \subseteq \mathbb R^d$. It can have nonzero (but constant) drift, non-identity (but constant) covariance matrix, and oblique (= …
Andrey 's user avatar