Feynman-Kac Formulas, Backward Stochastic Differential Equations and Markov Processes

  • Van Casteren J
N/ACitations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this paper we explain the notion of stochastic backward differential equations and its relationship with classical (backward) parabolic differential equations of second order. The paper contains a mixture of stochastic processes like Markov processes and martingale theory and semi-linear partial differential equations of parabolic type. Some emphasis is put on the fact that the whole theory generalizes Feynman-Kac formulas. A new method of proof of the existence of solutions is given. All the existence arguments are based on rather precise quantitative estimates.

Cite

CITATION STYLE

APA

Van Casteren, J. A. (2007). Feynman-Kac Formulas, Backward Stochastic Differential Equations and Markov Processes. In Functional Analysis and Evolution Equations (pp. 83–111). Birkhäuser Basel. https://doi.org/10.1007/978-3-7643-7794-6_6

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free