JOURNAL ARTICLE

A forward–backward stochastic algorithm for quasi-linear PDEs

François DelarueStéphane Menozzi

Year: 2006 Journal:   The Annals of Applied Probability Vol: 16 (1)   Publisher: Institute of Mathematical Statistics

Abstract

We propose a time-space discretization scheme for quasi-linear parabolic\nPDEs. The algorithm relies on the theory of fully coupled forward--backward\nSDEs, which provides an efficient probabilistic representation of this type of\nequation. The derivated algorithm holds for strong solutions defined on any\ninterval of arbitrary length. As a bypass product, we obtain a discretization\nprocedure for the underlying FBSDE. In particular, our work provides an\nalternative to the method described in [Douglas, Ma and Protter (1996) Ann.\nAppl. Probab. 6 940--968] and weakens the regularity assumptions required in\nthis reference.\n

Keywords:
Discretization Mathematics Interval (graph theory) Representation (politics) Probabilistic logic Algorithm Applied mathematics Scheme (mathematics) Space (punctuation) Product (mathematics) Mathematical optimization Computer science Mathematical analysis Combinatorics Geometry

Metrics

136
Cited By
6.22
FWCI (Field Weighted Citation Impact)
31
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Stochastic processes and financial applications
Social Sciences →  Economics, Econometrics and Finance →  Finance
Advanced Mathematical Modeling in Engineering
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Mathematical Dynamics and Fractals
Physical Sciences →  Mathematics →  Mathematical Physics

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