Forward-Backward Stochastic Differential Equations and their Applications (Lecture Notes in Mathematics, 1702)

Ma, Jin; Yong, Jiongmin

ISBN 10: 3540659609 / ISBN 13: 9783540659600

Edité par Springer, 1999

A propos de cet article

This books is in Very good condition. There may be a few flaws like shelf wear and some light wear.

N° de réf. du vendeur 5D400000AYX9_ns

Détails bibliographiques

• Titre: Forward-Backward Stochastic Differential Equations and their Applications (Lecture Notes in Mathematics, 1702)
• Éditeur: Springer
• Date de parution: 1999
• Langue: anglais
• ISBN à 10 chiffres: 3540659609
• ISBN à 13 chiffres: 9783540659600
• Reliure: Couverture souple
• État de l'article: very_good

A propos de ce titre

Synopsis

This book is intended to give an introduction to the theory of forwa- backward stochastic di erential equations (FBSDEs, for short) which has received strong attention in recent years because of its interesting structure and its usefulness in various applied elds. The motivation for studying FBSDEs comes originally from stochastic optimal control theory, that is, the adjoint equation in the Pontryagin-type maximum principle. The earliest version of such an FBSDE was introduced by Bismut [1] in 1973, with a decoupled form, namely, a system of a usual (forward)stochastic di erential equation and a (linear) backwardstochastic dieren tial equation (BSDE, for short). In 1983, Bensoussan [1] proved the well-posedness of general linear BSDEs by using martingale representation theorem. The r st well-posedness result for nonlinear BSDEs was proved in 1990 by Pardoux{Peng [1], while studying the general Pontryagin-type maximum principle for stochastic optimal controls. A little later, Peng [4] discovered that the adapted solution of a BSDE could be used as a pr- abilistic interpretation of the solutions to some semilinear or quasilinear parabolic partial dieren tial equations (PDE, for short), in the spirit of the well-known Feynman-Kac formula. After this, extensive study of BSDEs was initiated, and potential for its application was found in applied and t- oretical areas such as stochastic control, mathematical n ance, dieren tial geometry, to mention a few. The study of (strongly) coupled FBSDEs started in early 90s. In his Ph.