Semigroups of Linear Operators
eBook - PDF

Semigroups of Linear Operators

With Applications to Analysis, Probability and Physics

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Semigroups of Linear Operators

With Applications to Analysis, Probability and Physics

About this book

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.

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Yes, you can access Semigroups of Linear Operators by David Applebaum in PDF and/or ePUB format, as well as other popular books in Mathematics & Differential Equations. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Series page
  3. Title page
  4. Copyright page
  5. Dedication
  6. Epigraph
  7. Contents
  8. Introduction
  9. 1 Semigroups and Generators
  10. 2 The Generation of Semigroups
  11. 3 Convolution Semigroups of Measures
  12. 4 Self-Adjoint Semigroups and Unitary Groups
  13. 5 Compact and Trace Class Semigroups
  14. 6 Perturbation Theory
  15. 7 Markov and Feller Semigroups
  16. 8 Semigroups and Dynamics
  17. 9 Varopoulos Semigroups
  18. Notes and Further Reading
  19. Appendix A The Space C[sub(0)](R[sup(d)])
  20. Appendix B The Fourier Transform
  21. Appendix C Sobolev Spaces
  22. Appendix D Probability Measures and Kolmogorov's Theorem on Construction of Stochastic Processes
  23. Appendix E Absolute Continuity, Conditional Expectation and Martingales
  24. Appendix F Stochastic Integration and ItƓ's Formula
  25. Appendix G Measures on Locally Compact Spaces – Some Brief Remarks
  26. References
  27. Index