On a class of exponential changes of measure for stochastic PDEs

Given a mild solution X to a semilinear stochastic partial differential equation (SPDE), we consider an exponential change of measure based on its infinitesimal generator L, defined in the topology of bounded pointwise convergence. The changed measure P<sup>h</sup> depends on the choice of a function h in the domain of L. In our main result, we derive conditions on h for which the change of measure is of Girsanov-type. The process X under P<sup>h</sup> is then shown to be a mild solution to another SPDE with an extra additive drift-term. We illustrate how different choices of h impact the law of X under P<sup>h</sup> in selected applications. These include the derivation of an infinite-dimensional diffusion bridge as well as the introduction of guided processes for SPDEs, generalizing results known for finite-dimensional diffusion processes to the infinite-dimensional case.

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Publication Details

Journal
Stochastic Processes and their Applications
Published
2025-03-15
DOI
https://doi.org/10.1016/j.spa.2025.104630
Citations
1
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
2.21

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article

On a class of exponential changes of measure for stochastic PDEs

Aad van der Vaart, Frank van der Meulen, Thorben Pieper-Sethmacher
1 citations
Stochastic Processes and their Applications
Stochastic processes and financial applications
2.21
article

On a class of exponential changes of measure for stochastic PDEs

Aad van der Vaart, Frank van der Meulen, Thorben Pieper-Sethmacher
article en
1 citations

Abstract

Given a mild solution X to a semilinear stochastic partial differential equation (SPDE), we consider an exponential change of measure based on its infinitesimal generator L, defined in the topology of bounded pointwise convergence. The changed measure P<sup>h</sup> depends on the choice of a function h in the domain of L. In our main result, we derive conditions on h for which the change of measure is of Girsanov-type. The process X under P<sup>h</sup> is then shown to be a mild solution to another SPDE with an extra additive drift-term. We illustrate how different choices of h impact the law of X under P<sup>h</sup> in selected applications. These include the derivation of an infinite-dimensional diffusion bridge as well as the introduction of guided processes for SPDEs, generalizing results known for finite-dimensional diffusion processes to the infinite-dimensional case.

Stochastic Processes and their ApplicationsVol. 185
Nederlandse Organisatie voor Wetenschappelijk Onderzoek
Openalex Percentile: Top 16%
Stochastic processes and financial applications
2.21
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On a class of exponential changes of measure for stochastic PDEs — Aad van der Vaart, Frank van der Meulen, et al. · Stochastic Processes and their Applications (2025) | TGRS Research Map | TGRS