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Infinite Dimensional Ornstein-Uhlenbeck Processes

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Stochastic AnalysisProceedings of the Taniguchi International Symposium on Stochastic Analysis, volume 32 of North-Holland Mathematical Library, Elsevier, (1984)
DOI: http://dx.doi.org/10.1016/S0924-6509(08)70394-5

Abstract

Publisher Summary The chapter discusses the infinite dimensional Ornstein-Uhlenbeck processes. The chapter proves the infinite dimensional version of the fact that an Ornstein-Uhlenbeck process, a centered Gaussian, Markov, stationary and mean-continuous process Xt satisfies the Langevin equation. An Orstein-Uhlenbeck process of linear random functionals is defined in the same way as in the 1-D case. There is a parallelism between the 1-D case and the infinite dimensional case, but an additional term, called the deterministic part is obtained. The chapter also discusses the continuous regular versions of the processes in consideration.

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