Pathwise uniqueness for a SPDE with Hölder continuous coefficient driven by α-stable noise

Abstract

In this paper we study the pathwise uniqueness of solution to the following stochastic partial differential equation (SPDE) with Hölder continuous coefficient: \begin{eqnarray*} \frac{\partial X_t(x)}{\partial t}=\frac{1}{2} ΔX_t(x) +G(X_t(x))+H(X_{t-}(x)) \dot{L}_t(x),~~~ t>0, ~x\in\mathbb{R}, \end{eqnarray*} where $\dot{L}$ denotes an $\alpha$-stable white noise on ${\mathbb{R}}_{+}\times \mathbb{R}$ without negative jumps, $G$ satisfies the Lipschitz condition and $H$ is nondecreasing and $\beta$-Hölder continuous for $1<\alpha <2$ and $0<\beta <1$. For $G\equiv 0$ and $H(x)=x^{\beta }$, in Mytnik (2002) a weak solution to the above SPDE was constructedand the pathwise uniqueness of the solution was left as an open problem. In this paper we give an affirmative answer to this problem for certain values of $\alpha$ and $\beta$. In particular, for $\alpha \beta =1$, where the solution to the above equation is the density of a super-Brownian motion with $\alpha$-stable branching (see also Mytnik (2002)), our result leads to its pathwise uniqueness for $1<\alpha <\sqrt{5}-1$. The local Hölder continuity of the solution is also obtained in this paper for fixed time $t>0$.

References in corpus (2)

• Pathwise uniqueness for stochastic heat equations with Hölder continuous coefficients: the white noise case
• Pathwise Uniqueness of the Stochastic Heat Equations with Spatially Inhomogeneous White Noise