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arXiv 1402.4940math.PR
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线性乘性噪声驱动的随机偏微分方程的一种运算方法

An operatorial approach to stochastic partial differential equations driven by linear multiplicative noise

Viorel Barbu, Michael Röckner

摘要:

本文对形式为dX+A(t)Xdt = XdW在(0;T)xH中的无穷维随机方程的存在性和唯一性理论提出了一种新的一般方法,其中A(t)是从V到V '的非线性单调半连续强迫多项式增长算子.这里V是一个自反巴拿赫空间,它连续且稠密地嵌入在定义域$O\subset \mathbb{R}^d$上的(广义)函数的希尔伯特空间H中,V'是V在H作为枢轴空间诱导的对偶中的对偶.此外,W是H中的Wiener过程。新的方法是基于一个操作的随机方程,这是相当强大的扰动下A(t)。这导致新的存在性和唯一性结果的一个更大的一类方程的线性乘性噪声比已知的方法处理。此外,我们还得到了解关于时间和空间变量的正则性结果,这些结果比经典的结果更尖锐。新的应用包括随机偏微分方程,例如随机输运方程。

英文摘要:

In this paper, we develop a new general approach to the existence and uniqueness theory of infinite dimensional stochastic equations of the form dX+A(t)Xdt = XdW in (0;T)xH, where A(t) is a nonlinear monotone and demicontinuous operator from V to V', coercive and with polynomial growth. Here, V is a reflexive Banach space continuously and densely embedded in a Hilbert space H of (generalized) functions on a domain $O\subset \mathbb{R}^d$ and V' is the dual of V in the duality induced by H as pivot space. Furthermore, W is a Wiener process in H. The new approach is based on an operatorial reformulation of the stochastic equation which is quite robust under perturbation of A(t). This leads to new existence and uniqueness results of a larger class of equations with linear multiplicative noise than the one treatable by the known approaches. In addition, we obtain regularity results for the solutions with respect to both the time and spatial variable which are sharper than the classical ones. New applications include stochastic partial differential equations, as e.g. stochastic transport equations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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