
Markov Processes, Feller Semigroups And Evolution Equations
Jan A. van Casteren(Author)
World Scientific Publishing Co Pte Ltd
Published on 26. November 2010
Book
Hardback
824 pages
978-981-4322-18-8 (ISBN)
Description
The book provides a systemic treatment of time-dependent strong Markov processes with values in a Polish space. It describes its generators and the link with stochastic differential equations in infinite dimensions. In a unifying way, where the square gradient operator is employed, new results for backward stochastic differential equations and long-time behavior are discussed in depth. The book also establishes a link between propagators or evolution families with the Feller property and time-inhomogeneous Markov processes. This mathematical material finds its applications in several branches of the scientific world, among which are mathematical physics, hedging models in financial mathematics, and population models.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Graduate students and researchers in mathematical physics, mathematics and statistics
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 48 mm
Weight
1321 gr
ISBN-13
978-981-4322-18-8 (9789814322188)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Content
Introduction: Introduction: Stochastic Differential Equations; Strong Markov Processes: Strong Markov Processes on Polish Spaces; Strong Markov Processes: Proof on Main Results; Space-Time Operators and Miscellaneous Topics; Backward Stochastic Differential Equations: Feynman-Kac Formulas, Backward Stochastic Differential Equations and Markov Processes; Viscosity Solutions, Backward Stochastic Differential Equations and Markov Processes; The Hamilton-Jacobi-Bellman Equation and the Stochastic Noether Theorem; Long Time Behavior: On Non-Stationary Markov Processes and Dunford Projections; Coupling Methods and Sobolev Type Inequalities; Invariant Measure.