On the support of solutions to stochastic differential equations with
path-dependent coefficients
path-dependent coefficients
File(s)
Author(s)
Cont, Rama
Kalinin, Alexander
Type
Working Paper
Abstract
Given a stochastic differential equation with path-dependent coefficients
driven by a multidimensional Wiener process, we show that the support of the
law of the solution is given by the image of the Cameron-Martin space under the
flow of the solutions of a system of path-dependent (ordinary) differential
equations. Our result extends the Stroock-Varadhan support theorem for
diffusion processes to the case of SDEs with path-dependent coefficients. The
proof is based on the Functional Ito calculus and interpolation estimates for
stochastic processes in Holder norm.
driven by a multidimensional Wiener process, we show that the support of the
law of the solution is given by the image of the Cameron-Martin space under the
flow of the solutions of a system of path-dependent (ordinary) differential
equations. Our result extends the Stroock-Varadhan support theorem for
diffusion processes to the case of SDEs with path-dependent coefficients. The
proof is based on the Functional Ito calculus and interpolation estimates for
stochastic processes in Holder norm.
Date Issued
2019-07-03
Date Acceptance
2019-07-30
Citation
Stochastic Processes and their Applications
ISSN
0304-4149
Publisher
Elsevier
Journal / Book Title
Stochastic Processes and their Applications
Identifier
http://arxiv.org/abs/1806.08988v1
Subjects
math.PR
math.PR
math.FA
60H10, 28C20, 34K50
Notes
50 pages