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Pseudo Differential Operators and Markov Processes cover

After recalling essentials of analysis — including functional analysis, convexity, distribution theory and interpolation theory — this book handles two topics in detail: Fourier analysis, with emphasis on positivity and also on some function spaces and multiplier theorems; and one-parameter operator semigroups with emphasis on Feller semigroups and Lp-sub-Markovian semigroups. In addition, Dirichlet forms are treated. The book is self-contained and offers new material originated by the author and his students.

Sample Chapter(s)
Introduction: Pseudo Differential Operators and Markov Processes (207 KB)
Chapter 1: Introduction (190 KB)


Contents:
  • Essentials from Analysis:
    • Calculus Results
    • Convexity
    • Some Interpolation Theory
  • Fourier Analysis and Convolution Semigroups:
    • The Paley–Wiener–Schwartz Theorem
    • Bounded Borel Measures and Positive Definite Functions
    • Convolution Semigroups and Negative Definite Functions
    • The Lévy–Khinchin Formula for Continuous Negative Definite Functions
    • Bernstein Functions and Subordination of Convolution Semigroups
    • Fourier Multiplier Theorems
  • One Parameter Semigroups:
    • Strongly Continuous Operator Semigroups
    • Subordination in the Sense of Bochner for Operator Semigroups
    • Generators of Feller Semigroups
    • Dirichlet Forms and Generators of Sub-Markovian Semigroups
    • and other papers

Readership: Graduate students, researchers and lecturers in analysis & differential equations, stochastics, probability & statistics, and mathematical physics.