It\^o Formula for Processes Taking Values in Intersection of Finitely Many Banach Spaces
Istv\'an Gy\"ongy, David \v{S}i\v{s}ka

TL;DR
This paper extends the Itô formula to processes in the intersection of multiple Banach spaces, accommodating applications to stochastic partial differential equations and broadening the class of semimartingales for which the formula applies.
Contribution
It introduces a generalized Itô formula for processes in the intersection of finitely many Banach spaces, relaxing previous integrability conditions for broader applicability.
Findings
Extended Itô formula for Banach space intersections
Weaker integrability conditions than previous results
Applicability to stochastic PDEs with complex structures
Abstract
Motivated by applications to SPDEs we extend the It\^o formula for the square of the norm of a semimartingale from Gy\"ongy and Krylov (Stochastics 6(3):153-173, 1982) to the case \begin{equation*} \sum_{i=1}^m \int_{(0,t]} v_i^{\ast}(s)\,dA(s) + h(t)=:y(t)\in V \quad \text{-a.e.}, \end{equation*} where is an increasing right-continuous adapted process, is a progressively measurable process with values in , the dual of a Banach space , is a cadlag martingale with values in a Hilbert space , identified with its dual , and is continuously and densely embedded in . The formula is proved under the condition that and are almost surely locally integrable with respect to for some conjugate exponents . This…
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.
