English

On a class of stochastic partial differential equations

Probability 2016-01-29 v3

Abstract

In this paper, we study the stochastic partial differential equation with multiplicative noise ut=Lu+uW˙\frac{\partial u}{\partial t} =\mathcal L u+u\dot W, where L\mathcal L is the generator of a symmetric L\'evy process XX and W˙\dot W is a Gaussian noise. For the equation in the Stratonovich sense, we show that the solution given by a Feynman-Kac type of representation is a mild solution, and we establish its H\"older continuity and the Feynman-Kac formula for the moments of the solution. For the equation in the Skorohod sense, we obtain a sufficient condition for the existence and uniqueness of the mild solution under which we get Feymnan-Kac formula for the moments of the solution, and we also investigate the H\"older continuity of the solution. As a byproduct, when γ(x)\gamma(x) is a nonnegative and nonngetive-definite function, a sufficient and necessary condition for 0t0trsβ0γ(XrXs)drds\int_0^t\int_0^t |r-s|^{-\beta_0}\gamma(X_r-X_s)drds to be exponentially integrable is obtained.

Keywords

Cite

@article{arxiv.1503.06525,
  title  = {On a class of stochastic partial differential equations},
  author = {Jian Song},
  journal= {arXiv preprint arXiv:1503.06525},
  year   = {2016}
}

Comments

46 pages

R2 v1 2026-06-22T08:59:12.335Z