Densities for SDEs driven by degenerate $\alpha$-stable processes
Xicheng Zhang

TL;DR
This paper proves the existence and smoothness of probability density functions for solutions to certain degenerate stochastic differential equations driven by alpha-stable processes, using Malliavin calculus under Hörmander's condition.
Contribution
It establishes the existence of densities and smooth heat kernels for SDEs driven by degenerate subordinated Brownian motions, extending to fractional kinetic Fokker-Planck operators.
Findings
Existence of distributional densities under Hörmander's condition.
Smoothness of densities in a special degenerate case.
Existence of smooth heat kernels for fractional kinetic operators.
Abstract
In this work, by using the Malliavin calculus, under H\"ormander's condition, we prove the existence of distributional densities for the solutions of stochastic differential equations driven by degenerate subordinated Brownian motions. Moreover, in a special degenerate case, we also obtain the smoothness of the density. In particular, we obtain the existence of smooth heat kernels for the following fractional kinetic Fokker-Planck (nonlocal) operator: \[\mathscr{L}^{(\alpha)}_b:=\Delta^{\alpha/2}_{\mathrm{v}}+\mathrm {v}\cdot \nabla_x+b(x,\mathrm{v})\cdot \nabla_{\mathrm{v}},\qquad x,\mathrm{v}\in\mathbb{R}^d,\] where and is smooth and has bounded derivatives of all orders.
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.
