首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Logarithmic derivatives of invariant measure for stochastic differential equations in hilbert spaces
Abstract:We consider a process X solution of a semilinear stochastic evolution equation in a Hilbert space. Assuming that X has an invariant measure ν, we investigate its regularity properties. Logarithmic derivatives of ν in certain directions, are shown to exist under appropriate conditions on the nonlinear term in the equation. A set of directions of differentiability for ν is explicitly described in terms of the coefficients of the equation. In some cases, logarithmic derivatives are represented as conditional expectations of random variables related to an appropriate stationary process. An application to a system of stochastic partial differential equations in one space variable is given
Keywords:Stochastic evolution equations  Stochastic processes in infinite dimensional spaces  Invariant measures  Logarithmic derivatives  AMS 1991 Classifications: 60H30  60H07  60H15
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号