English

Stochastic fractional diffusion equations with Gaussian noise rough in space

Probability 2023-03-22 v1

Abstract

In this article, we consider the following stochastic fractional diffusion equation \begin{equation*} \left(\partial^{\beta}+\dfrac{\nu}{2}\left(-\Delta\right)^{\alpha / 2}\right) u(t, x)= \lambda\: I_{0_+}^{\gamma}\left[u(t, x) \dot{W}(t, x)\right] ,\quad t>0,\: x \in \mathbb{R}, \end{equation*} where α>0\alpha>0, β(0,2]\beta\in(0,2], γ0\gamma \ge 0, λ0\lambda\neq0, ν>0\nu>0, and W˙\dot{W} is a Gaussian noise which is white or fractional in time and rough in space. We prove the existence and uniqueness of the solution in the It\^o-Skorohod sense and obtain the lower and upper bounds for the pp-th moment. The H\"older regularity of the solution is also studied.

Keywords

Cite

@article{arxiv.2303.11939,
  title  = {Stochastic fractional diffusion equations with Gaussian noise rough in space},
  author = {Yuhui Guo and Jian Song and Xiaoming Song},
  journal= {arXiv preprint arXiv:2303.11939},
  year   = {2023}
}
R2 v1 2026-06-28T09:26:35.450Z