Markov processes, Feller semigroups and evolution equations
著者
書誌事項
Markov processes, Feller semigroups and evolution equations
(Series on concrete and applicable mathematics, v. 12)
World Scientific, c2011
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
- 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.
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