An infinite-dimensional approach to path-dependent Kolmogorov equations
arXiv:1312.6165 · doi:10.1214/15-AOP1031
Abstract
In this paper, a Banach space framework is introduced in order to deal with finite-dimensional path-dependent stochastic differential equations. A version of Kolmogorov backward equation is formulated and solved both in the space of paths and in the space of continuous paths using the associated stochastic differential equation, thus establishing a relation between path-dependent SDEs and PDEs in analogy with the classical case. Finally, it is shown how to establish a connection between such Kolmogorov equation and the analogue finite-dimensional equation that can be formulated in terms of the path-dependent derivatives recently introduced by Dupire, Cont and Fournié.
Published at http://dx.doi.org/10.1214/15-AOP1031 in the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Cited by in corpus (5)
- Stochastic Optimal Control with Delay in the Control II: Verification Theorem and Optimal Feedbacks
- Kolmogorov equations on spaces of measures associated to nonlinear filtering processes
- Duality relations between spatial birth-death processes and diffusions in Hilbert space
- On the relation between the Girsanov transform and the Kolmogorov equations for SPDEs
- Feynman-Kac formula for BSDEs with jumps and time delayed generators associated to path-dependent nonlinear Kolmogorov equations