Support characterization for regular path-dependent stochastic Volterra integral equations
Alexander Kalinin

TL;DR
This paper characterizes the support of solutions to regular path-dependent stochastic Volterra integral equations using functional Itô calculus, revealing the structure of their law in the H"older norm.
Contribution
It introduces a support characterization for solutions of path-dependent stochastic Volterra equations via a flow of integro-differential equations, extending support theory to this class.
Findings
The solution is a semimartingale with H"older continuous paths.
Support of the law is described by a flow of mild solutions to integro-differential equations.
Support characterization leverages the vertical derivative of the diffusion coefficient.
Abstract
We consider a stochastic Volterra integral equation with regular path-dependent coefficients and a Brownian motion as integrator in a multidimensional setting. Under an imposed absolute continuity condition, the unique solution is a semimartingale that admits almost surely H\"older continuous paths. Based on functional It\^o calculus, we prove that the support of its law in the H\"older norm can be described by a flow of mild solutions to ordinary integro-differential equations that are constructed by means of the vertical derivative of the diffusion coefficient.
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.
