Backward Stochastic Differential Equations : From Linear to Fully Nonlinear Theory /
This book provides a systematic and accessible approach to stochastic differential equations, backward stochastic differential equations, and their connection with partial differential equations, as well as the recent development of the fully nonlinear theory, including nonlinear expectation, second...
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Main Authors: | |
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Corporate Authors: | |
Published: |
Springer New York : Imprint: Springer,
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Publisher Address: | New York, NY : |
Publication Dates: | 2017. |
Literature type: | eBook |
Language: | English |
Series: |
Probability Theory and Stochastic Modelling,
86 |
Subjects: | |
Online Access: |
http://dx.doi.org/10.1007/978-1-4939-7256-2 |
Summary: |
This book provides a systematic and accessible approach to stochastic differential equations, backward stochastic differential equations, and their connection with partial differential equations, as well as the recent development of the fully nonlinear theory, including nonlinear expectation, second order backward stochastic differential equations, and path dependent partial differential equations. Their main applications and numerical algorithms, as well as many exercises, are included. The book focuses on ideas and clarity, with most results having been solved from scratch and most theorie |
Carrier Form: | 1 online resource(XVI,249pages). |
ISBN: | 9781493972562 |
Index Number: | QA273 |
CLC: | O211.63 |
Contents: | Preliminaries -- Part I The Basic Theory of SDEs and BSDEs -- Basics of Stochastic Calculus -- Stochastic Differential Equations -- Backward Stochastic Differential Equations -- Markov BSDEs and PDEs -- Part II Further Theory of BSDEs -- Reflected BSDEs -- BSDEs with Quadratic Growth in Z -- Forward Backward SDEs -- Part III The Fully Nonlinear Theory of BSDEs -- Stochastic Calculus Under Weak Formulation -- Nonlinear Expectation -- Path Dependent PDEs -- Second Order BSDEs.. Bibliography -- Index. |