On estimates of transition density for subordinate Brownian motions with Gaussian components in $C^{1,1}$-open sets
Joohak Bae, Panki Kim

TL;DR
This paper derives precise two-sided bounds for the transition density of subordinate Brownian motions with Gaussian components in Euclidean space and $C^{1,1}$-domains, leading to sharp Green function estimates.
Contribution
It provides the first sharp two-sided bounds for the transition density of subordinate Brownian motions with Gaussian components in $C^{1,1}$-open sets.
Findings
Sharp two-sided bounds for transition density in ${f R}^d$
Sharp Green function estimates in $C^{1,1}$-domains
Applicable to processes with scaling order up to 2
Abstract
We consider a subordinate Brownian motion with Gaussian components when the scaling order of purely discontinuous part is between and including . In this paper we establish sharp two-sided bounds for transition density of in and -open sets. As a corollary, we obtain a sharp Green function estimates.
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.
Taxonomy
TopicsStochastic processes and financial applications · Stochastic processes and statistical mechanics · Point processes and geometric inequalities
