A mild Girsanov formula
Probability
2026-02-11 v2
Abstract
We consider a well posed SPDE on a separable Hilbert space , where is self-adjoint, negative and such that is of trace class for some , is Lipschitz continuous and is a cylindrical Wiener process on . We denote by the stochastic convolution. We prove, with the help of a formula for nonlinear transformations of Gaussian integrals due to R. Ramer, the following identity where is the law of in , its Cameron--Martin space, and is the It\^o integral of . Some applications are discussed; in particular, when is dissipative we provide an explicit formula for the law of the stationary process and the invariant measure of the Markov semigroup . Some concluding remarks are devoted to a similar problem with colored noise.
Keywords
Cite
@article{arxiv.2308.04184,
title = {A mild Girsanov formula},
author = {Giuseppe Da Prato and Enrico Priola and Luciano Tubaro},
journal= {arXiv preprint arXiv:2308.04184},
year = {2026}
}