Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
144 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
46 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

BMO estimates for stochastic singular integral operators and its application to PDEs with Lévy noise (1704.05577v1)

Published 19 Apr 2017 in math.PR

Abstract: In this paper, we consider the stochastic singular integral operators and obtain the BMO estimates. As an application, we consider the fractional Laplacian equation with additive noises \bess du_t(x)=\Delta{\frac{\alpha}{2}}u_t(x)dt+\sum_{k=1}\infty\int_{\mathbb{R}m}gk(t,x)z\tilde N_k(dz,dt),\ \ \ u_0=0,\ 0\leq t\leq T, \eess where $\Delta{\frac{\alpha}{2}}=-(-\Delta){\frac{\alpha}{2}}$, and $\int_{\mathbb{R}m}z\tilde N_k(t,dz)=:Y_tk$ are independent $m$-dimensional pure jump L\'{e}vy processes with L\'{e}vy measure of $\nuk$. Following the idea of \cite{Kim}, we obtain the $q$-th order BMO quasi-norm of the $\frac{\alpha}{q_0}$-order derivative of $u$ is controlled by the norm of $g$.

Summary

We haven't generated a summary for this paper yet.