Generalized self-intersection local time for a superprocess over a stochastic flow
Aaron Heuser

TL;DR
This paper establishes the existence of a generalized self-intersection local time for superprocesses over stochastic flows in low dimensions, extending moment calculation methods to handle dependent spatial motions.
Contribution
It introduces a new approach to prove existence of self-intersection local time for superprocesses with dependent motion, overcoming limitations of previous methods.
Findings
Existence of self-intersection local time in dimensions d ≤ 3.
Extension of moment calculation methods to higher moments.
Development of a Tanaka-like representation for the superprocess.
Abstract
This paper examines the existence of the self-intersection local time for a superprocess over a stochastic flow in dimensions , which through constructive methods, results in a Tanaka-like representation. The superprocess over a stochastic flow is a superprocess with dependent spatial motion, and thus Dynkin's proof of existence, which requires multiplicity of the log-Laplace functional, no longer applies. Skoulakis and Adler's method of calculating moments is extended to higher moments, from which existence follows.
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.
