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Bibliographic Details
Main Authors: Perkowski, Nicolas, van Zuijlen, Willem
Format: Preprint
Published: 2020
Subjects:
Online Access:https://arxiv.org/abs/2009.10786
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author Perkowski, Nicolas
van Zuijlen, Willem
author_facet Perkowski, Nicolas
van Zuijlen, Willem
contents We consider the stochastic differential equation on $\mathbb{R}^d$ given by $$ \, \mathrm{d}X_t = b(t,X_t) \, \mathrm{d}t + \, \mathrm{d} B_t, $$ where $B$ is a Brownian motion and $b$ is considered to be a distribution of regularity $ > -\frac12$. We show that the martingale solution of the SDE has a transition kernel $Γ_t$ and prove upper and lower heat kernel bounds for $Γ_t$ with explicit dependence on $t$ and the norm of $b$.
format Preprint
id arxiv_https___arxiv_org_abs_2009_10786
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle Quantitative heat kernel estimates for diffusions with distributional drift
Perkowski, Nicolas
van Zuijlen, Willem
Probability
We consider the stochastic differential equation on $\mathbb{R}^d$ given by $$ \, \mathrm{d}X_t = b(t,X_t) \, \mathrm{d}t + \, \mathrm{d} B_t, $$ where $B$ is a Brownian motion and $b$ is considered to be a distribution of regularity $ > -\frac12$. We show that the martingale solution of the SDE has a transition kernel $Γ_t$ and prove upper and lower heat kernel bounds for $Γ_t$ with explicit dependence on $t$ and the norm of $b$.
title Quantitative heat kernel estimates for diffusions with distributional drift
topic Probability
url https://arxiv.org/abs/2009.10786