Smoothness of density for stochastic differential equations with Markovian switching
Yaozhong Hu, David Nualart, Xiaobin Sun, Yingchao Xie

TL;DR
This paper investigates the smoothness of the probability density for solutions to stochastic differential equations with Markovian switching, using Malliavin calculus and establishing the strong Feller property under Hörmander conditions.
Contribution
It applies Malliavin calculus to SDEs with Markovian switching to prove density smoothness and derives a Bismut type formula for the strong Feller property.
Findings
Density of solutions is smooth under Hörmander condition
Established a Bismut type formula for these SDEs
Proved the strong Feller property for the process
Abstract
This paper is concerned with a class of stochastic differential equations with Markovian switching. The Malliavin calculus is used to study the smoothness of the density of the solution under a H\"{o}rmander type condition. Furthermore, we obtain a Bismut type formula which is used to establish the strong Feller property.
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 · Nonlinear Differential Equations Analysis · Stochastic processes and statistical mechanics
