Discretization of forward–backward stochastic differential equations and related quasi-linear parabolic equations

Efficient numerical algorithms for a class of forward–backward stochastic differential equations (FBSDEs) and related quasi-linear parabolic partial differential equations are proposed. The quasi-linear parabolic equation is solved by new layer methods which are constructed by means of a probabilist...

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Veröffentlicht in:IMA journal of numerical analysis 2007-01, Vol.27 (1), p.24-44
Hauptverfasser: Milstein, G. N., Tretyakov, M. V.
Format: Artikel
Sprache:eng
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Zusammenfassung:Efficient numerical algorithms for a class of forward–backward stochastic differential equations (FBSDEs) and related quasi-linear parabolic partial differential equations are proposed. The quasi-linear parabolic equation is solved by new layer methods which are constructed by means of a probabilistic approach. The proposed algorithms for solving FBSDEs are based on the four-step scheme of Ma, Protter and Yong. Convergence theorems are proved. Results of some numerical experiments are presented.
ISSN:0272-4979
1464-3642
DOI:10.1093/imanum/drl019