Semigroups of linear operators : with applications to analysis, probability and physics
Author(s)
Bibliographic Information
Semigroups of linear operators : with applications to analysis, probability and physics
（London Mathematical Society student texts, 93）
Cambridge University Press, 2019
- : hardback
- : pbk
Available at 18 libraries
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Library, Research Institute for Mathematical Sciences, Kyoto University数研
: hardbackAPP||5||3200040039629
Note
Includes bibliographical references (p. 214-218) and index
Description and Table of Contents
Description
The theory of semigroups of operators is one of the most important themes in modern analysis. Not only does it have great intellectual beauty, but also wide-ranging applications. In this book the author first presents the essential elements of the theory, introducing the notions of semigroup, generator and resolvent, and establishes the key theorems of Hille-Yosida and Lumer-Phillips that give conditions for a linear operator to generate a semigroup. He then presents a mixture of applications and further developments of the theory. This includes a description of how semigroups are used to solve parabolic partial differential equations, applications to Levy and Feller-Markov processes, Koopmanism in relation to dynamical systems, quantum dynamical semigroups, and applications to generalisations of the Riemann-Liouville fractional integral. Along the way the reader encounters several important ideas in modern analysis including Sobolev spaces, pseudo-differential operators and the Nash inequality.
Table of Contents
- Introduction
- 1. Semigroups and generators
- 2. The generation of semigroups
- 3. Convolution semigroups of measures
- 4. Self adjoint semigroups and unitary groups
- 5. Compact and trace class semigroups
- 6. Perturbation theory
- 7. Markov and Feller semigroups
- 8. Semigroups and dynamics
- 9. Varopoulos semigroups
- Notes and further reading
- Appendices: A. The space C0(Rd)
- B. The Fourier transform
- C. Sobolev spaces
- D. Probability measures and Kolmogorov's theorem on construction of stochastic processes
- E. Absolute continuity, conditional expectation and martingales
- F. Stochastic integration and Ito's formula
- G. Measures on locally compact spaces: some brief remarks
- References
- Index.
by "Nielsen BookData"