Irregular Stochastic differential equations driven by a family of Markov processes
Longjie Xie, Lihu Xu

TL;DR
This paper establishes pathwise uniqueness for strong solutions of irregular stochastic differential equations driven by non-local, non-symmetric Markov processes, utilizing heat kernel estimates and novel regularity results.
Contribution
It introduces new regularity results for generators of non-local, non-symmetric Markov processes and proves pathwise uniqueness under irregular conditions.
Findings
Proved pathwise uniqueness for a class of irregular SDEs
Developed new regularity estimates for non-local generators
Applied heat kernel estimates to stochastic equations
Abstract
Using heat kernel estimates, we prove the pathwise uniqueness for strong solutions of irregular stochastic differential equation driven by a family of Markov process, whose generator is a non-local and non-symmetric L\'evy type operator. Due to the extra term in multiplicative noise, we need to derive some new regularity results for the generator and use a trick of mixing and -estimates by Kurtz and Protter \cite{Ku-Po}.
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Taxonomy
TopicsStochastic processes and financial applications · Advanced Mathematical Modeling in Engineering · Stochastic processes and statistical mechanics
