English

A mild Girsanov formula

Probability 2026-02-11 v2

Abstract

We consider a well posed SPDE ⁣:dZ=(AZ+b(Z))dt+dW(t),Z0=x,\colon dZ=(AZ+b(Z)) dt+dW(t),\,Z_0=x, on a separable Hilbert space HH, where A ⁣:HHA\colon H\to H is self-adjoint, negative and such that A1+βA^{-1+\beta} is of trace class for some β>0\beta>0, b ⁣:HHb\colon H\to H is Lipschitz continuous and WW is a cylindrical Wiener process on HH. We denote by WA(t)=0te(ts)AdW(s),t[0,T],W_A(t)=\int_0^te^{(t-s)A}\,dW(s),\,t\in[0,T], the stochastic convolution. We prove, with the help of a formula for nonlinear transformations of Gaussian integrals due to R. Ramer, the following identity (PZx1)(Φ)=XΦ(h+eAx)exp{12γx(h)HQT2+I(γx)(h)}NQT(dh),(P\circ Z_x^{-1})(\Phi) =\int_X\Phi(h+e^{\cdot A}x)\, \exp\left\{ -\tfrac12|\gamma_x(h)|^2_{ H_{Q_T}} + I(\gamma_x)(h)\right\} N_{Q_T}(dh), where NQT N_{Q_T} is the law of WAW_A in C([0,T],H)C([0,T],H), HQT H_{Q_T} its Cameron--Martin space, [γx(k)](t)=0te(ts)Ab(k(s)+esAx)ds,t[0,T],  kC([0,T],H) [\gamma_x(k)](t)=\int_0^t e^{(t-s)A}b(k(s)+e^{sA}x) ds,\quad t\in[0,T], \; k \in C([0,T],H) and I(γx)I(\gamma_x) is the It\^o integral of γx\gamma_x. Some applications are discussed; in particular, when bb is dissipative we provide an explicit formula for the law of the stationary process and the invariant measure ν\nu of the Markov semigroup (Pt)(P_t). 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}
}
R2 v1 2026-06-28T11:50:45.490Z