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Springer Non-cooperative Stochastic Differential Game Theory

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Description

This specialized research book by Springer explores the stochastic non-cooperative differential game theory of generalized linear Markov jump systems. It provides an in-depth examination of continuous time and discrete time linear quadratic stochastic differential games, working toward a complete framework for dynamic non-cooperative differential game theory. Designed for advanced readers, the text applies these complex mathematical theories to practical fields such as finance and insurance. By utilizing the dynamic programming principle and Riccati equation, the book establishes various existence conditions and calculation methods. This makes it a valuable resource for researchers and professionals needing to understand the mathematical foundations of decision-making within stochastic systems.

Key Features

Covers the stochastic non-cooperative differential game theory of generalized linear Markov jump systems.

Provides in-depth research on both continuous time and discrete time linear quadratic stochastic differential games.

Establishes a complete framework for dynamic non-cooperative differential game theory.

Includes applications specifically tailored for the finance and insurance sectors.

Utilizes the dynamic programming principle and Riccati equation for mathematical derivations.

Details various existence conditions and calculation methods for complex systems.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
14 June 2018
Listed Since
14 June 2018

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