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arXiv 0710.5485math.PR
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一类分数阶随机偏微分方程的温和解及其样本路径

Mild Solutions for a Class of Fractional SPDEs and Their Sample Paths

Marta Sanz-Solé, Pierre-A. Vuillermot

摘要:

本文引入并分析了定义在有界开子集$D\subset\mathbb{R}^{d}$上的一类非自治抛物型随机偏微分方程在无穷维分数噪声驱动下的温和解的概念.噪声是从一个$L^{2}(D)$值分数维纳过程$W^{H}$的协方差算子满足适当的限制,此外,赫斯特参数$H$受到约束,制定在$d$和Hölder指数的衍生物$h^\prime$的噪声非线性方程。我们证明了该解的存在性,建立了它与\cite{nuavu}中引入的变分解的关系,并证明了当我们将其视为$L^{2}(D)$值随机过程时,其样本路径的Hölder连续性。当$h$是仿射函数时,我们还证明了唯一性。证明是基于温和的和变分的解决方案,在Sanz-Solé和Vuillermot 2003年建立的概念之间的关系,并适应我们的问题,并在一个精细的分析格林函数的奇异性与我们调查的一类抛物问题。我们的结果的一个直接后果是温和的和变分的唯一性的情况下的解决方案的不变性。

英文摘要:

In this article we introduce and analyze a notion of mild solution for a class of non-autonomous parabolic stochastic partial differential equations defined on a bounded open subset $D\subset\mathbb{R}^{d}$ and driven by an infinite-dimensional fractional noise. The noise is derived from an $L^{2}(D)$-valued fractional Wiener process $W^{H}$ whose covariance operator satisfies appropriate restrictions; moreover, the Hurst parameter $H$ is subjected to constraints formulated in terms of $d$ and the Hölder exponent of the derivative $h^\prime$ of the noise nonlinearity in the equations. We prove the existence of such solution, establish its relation with the variational solution introduced in \cite{nuavu} and also prove the Hölder continuity of its sample paths when we consider it as an $L^{2}(D)$--valued stochastic processes. When $h$ is an affine function, we also prove uniqueness. The proofs are based on a relation between the notions of mild and variational solution established in Sanz-Solé and Vuillermot 2003, and adapted to our problem, and on a fine analysis of the singularities of Green's function associated with the class of parabolic problems we investigate. An immediate consequence of our results is the indistinguishability of mild and variational solutions in the case of uniqueness.

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