Back to Search Start Over

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

Authors :
Amann, Herbert
Arendt, Wolfgang
Hieber, Matthias
Neubrander, Frank M.
Nicaise, Serge
von Below, Joachim
Van Casteren, Jan A.
Source :
Functional Analysis & Evolution Equations; 2008, p83-111, 29p
Publication Year :
2008

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783764377939
Database :
Supplemental Index
Journal :
Functional Analysis & Evolution Equations
Publication Type :
Book
Accession number :
33672907
Full Text :
https://doi.org/10.1007/978-3-7643-7794-6_6