On the relation between the Girsanov transform and the Kolmogorov equations for SPDEs
Franco Flandoli, Dejun Luo, Cristiano Ricci

TL;DR
This paper explores the connection between the Girsanov transform and Kolmogorov equations in SPDEs, showing their series expansions coincide and extending well-posedness theory.
Contribution
It demonstrates the equivalence of series expansions from Girsanov transform and Kolmogorov equations, and extends well-posedness results beyond bounded nonlinearities.
Findings
Series expansions from Girsanov and Kolmogorov methods coincide.
Extended well-posedness of Kolmogorov equations beyond bounded nonlinearities.
Applied iteration approach to SPDEs for broader conditions.
Abstract
The Girsanov transform and Kolmogorov equations are two useful methods for studying SPDEs. It is shown that, under suitable conditions, the series expansion obtained from the Girsanov transform coincides with the one generated by an iteration scheme for Kolmogorov equations. We also apply the iteration approach to extend the well posedness theory for Kolmogorov equations beyond the boundedness condition on the nonlinear term.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
