Boundary Value Problems and Markov Processes Boundary Value Problems and Markov Processes
Lecture Notes in Mathematics

Boundary Value Problems and Markov Processes

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وصف الناشر

This volume is devoted to a thorough and accessible exposition on the functional analytic approach to the problem of construction of Markov processes with Ventcel' boundary conditions in probability theory.  Analytically, a Markovian particle in a domain of Euclidean space is governed by an integro-differential operator, called a Waldenfels operator, in the interior of  the domain, and it obeys a boundary condition, called the Ventcel' boundary condition, on the boundary of the domain.  Probabilistically, a Markovian particle moves both by jumps and continuously in the state space and it obeys the Ventcel' boundary condition, which consists of six terms corresponding  to the diffusion along the boundary, the absorption phenomenon, the reflection phenomenon, the sticking (or viscosity) phenomenon, the jump phenomenon on the boundary, and the inward jump phenomenon from the boundary. In particular, second-order elliptic differential operators are called diffusion operators and describe analytically strong Markov processes with continuous paths in the state space such as Brownian motion.  We observe that second-order elliptic differential operators with smooth coefficients arise naturally in connection with the problem of construction of Markov processes in probability.  Since second-order elliptic differential operators are pseudo-differential operators, we can make use of the theory of pseudo-differential operators as in the previous book: Semigroups, boundary value problems and Markov processes (Springer-Verlag, 2004).


Our approach here is distinguished by its extensive use of the ideas and techniques characteristic of the recent developments in the theory of partial differential equations. Several recent developments in the theory of singular integrals have made further progress in the study of elliptic boundary value problems and hence in the study of Markov processes possible.  The presentation of these new results is the main purpose of this book.

النوع
علم وطبيعة
تاريخ النشر
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١٧ يونيو
اللغة
EN
الإنجليزية
عدد الصفحات
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الناشر
Springer Berlin Heidelberg
البائع
Springer Nature B.V.
الحجم
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‫م.ب.‬
Semigroups, Boundary Value Problems and Markov Processes Semigroups, Boundary Value Problems and Markov Processes
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Functional Analysis and Evolution Equations Functional Analysis and Evolution Equations
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Analytic Semigroups and Semilinear Initial Boundary Value Problems: Second Edition Analytic Semigroups and Semilinear Initial Boundary Value Problems: Second Edition
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Topics in Operator Theory Topics in Operator Theory
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Parabolic Problems Parabolic Problems
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Pseudo-Differential Operators: Complex Analysis and Partial Differential Equations Pseudo-Differential Operators: Complex Analysis and Partial Differential Equations
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Nonlinear Functional Analysis with Applications to Combustion Theory Nonlinear Functional Analysis with Applications to Combustion Theory
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Functional Analytic Methods for Heat Green Operators Functional Analytic Methods for Heat Green Operators
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Real Analysis Methods for Markov Processes Real Analysis Methods for Markov Processes
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Functional Analytic Techniques for Diffusion Processes Functional Analytic Techniques for Diffusion Processes
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Analytic Semigroups and Semilinear Initial Boundary Value Problems: Second Edition Analytic Semigroups and Semilinear Initial Boundary Value Problems: Second Edition
٢٠١٦
Semigroups, Boundary Value Problems and Markov Processes Semigroups, Boundary Value Problems and Markov Processes
٢٠١٤
Inverse Problems and Imaging Inverse Problems and Imaging
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Potential Analysis of Stable Processes and its Extensions Potential Analysis of Stable Processes and its Extensions
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Stochastic Analysis in Discrete and Continuous Settings Stochastic Analysis in Discrete and Continuous Settings
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Methods of Contemporary Mathematical Statistical Physics Methods of Contemporary Mathematical Statistical Physics
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Geometric Analysis and PDEs Geometric Analysis and PDEs
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Mathematical Modeling in Biomedical Imaging I Mathematical Modeling in Biomedical Imaging I
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