Covariance structure of parabolic stochastic partial differential equations with multiplicative L\'evy noise
Kristin Kirchner, Annika Lang, Stig Larsson

TL;DR
This paper derives a deterministic equation for the covariance function of solutions to parabolic SPDEs with multiplicative Lévy noise, enabling better understanding of their second moments through a variational approach.
Contribution
It introduces a novel variational framework for the covariance function of parabolic SPDEs with Lévy noise, linking stochastic properties to deterministic equations.
Findings
Derived a well-posed deterministic variational problem for the covariance function.
Established a deterministic equation for the second moment of the solution.
Provided a mathematical foundation for analyzing covariance structures in Lévy-driven SPDEs.
Abstract
The characterization of the covariance function of the solution process to a stochastic partial differential equation is considered in the parabolic case with multiplicative L\'evy noise of affine type. For the second moment of the mild solution, a well-posed deterministic space-time variational problem posed on projective and injective tensor product spaces is derived, which subsequently leads to a deterministic equation for the covariance function.
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.
