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The Enigma of Probability and Physics

  • Book
  • © 1984

Overview

Authors:
  1. Lazar Mayants

    1. Department of Physics and Astronomy, University of Massachusetts, Amherst, USA

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Part of the book series: Fundamental Theories of Physics (FTPH, volume 7)

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xx
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  2. Fundamentals of Probabilistics

    1. Front Matter

      Pages 1-1
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    2. Principal Concepts

      • Lazar Mayants
      Pages 3-32

    3. Main Theorems

      • Lazar Mayants
      Pages 33-46

    4. Random Variables

      • Lazar Mayants
      Pages 47-65

    5. Some Aspects of Statistics

      • Lazar Mayants
      Pages 66-77

    6. States of Abstract Objects

      • Lazar Mayants
      Pages 78-113

    7. Hamiltonian Random Variables

      • Lazar Mayants
      Pages 114-141

    8. Random Fields

      • Lazar Mayants
      Pages 142-158

  3. Fundamentals of Probabilistic Physics

    1. Front Matter

      Pages 159-159
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    2. General Considerations

      • Lazar Mayants
      Pages 161-173

    3. Equilibrium Classical Statistical Mechanics

      • Lazar Mayants
      Pages 174-197

    4. Quantum Mechanics

      • Lazar Mayants
      Pages 198-242

    5. Kinetics of Physical Transformations

      • Lazar Mayants
      Pages 243-264

    6. Electromagnetic Field and Photons

      • Lazar Mayants
      Pages 265-276

  4. Methodological Problems

    1. Front Matter

      Pages 277-277
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    2. Problems Related to Probability

      • Lazar Mayants
      Pages 279-287

    3. Problems Related to Physics

      • Lazar Mayants
      Pages 288-334

  5. Back Matter

    Pages 363-373
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Keywords

About this book

Lazar Mayants is a recent Russian emigre noted for his work in theoretical physics. He was previously a professor at several universities of the Soviet Union and a distinguished member of the Academy of Sciences of the U.S.S.R, where he worked for about 30 years. In this book he presents a unique, extremely detailed, and embracive version of a subject that has suffered for a long time from numerous internal imperfections. His approach is new and original, the material covered features not only the foundations of the science of probability but also most of its applications, including statistical and quantum mechanics. The key methodolOgical principle underlying the book is of extraordinary significance and deserves special attention. The treatment excels in thoroughness of presentation, in its fulness of mathe­ matical detail and the abundance of physical examples. The book is intended for a wide range of people interested in probability and its connection with modern science. It is written as a text for advanced students, and I predict that a reader who masters all its contents will become an expert in the subject of both prob­ ability and its physical implications, while enjoying its understanding and use. HENRY MARGENAU Veritas nihil veretur nisi abscondi (truth 'What tremendously easy riddles you ask!' Humpty Dumpty growled out. fears nothing except being hidden). Latin proverb Lewis Carroll, Through the Looking Glass, Chap. 6. Preface The history of producing this book is rather complicated and not quite usual.

Authors and Affiliations

  • Department of Physics and Astronomy, University of Massachusetts, Amherst, USA

    Lazar Mayants

Bibliographic Information

  • Book Title: The Enigma of Probability and Physics

  • Authors: Lazar Mayants

  • Series Title: Fundamental Theories of Physics

  • DOI: https://doi.org/10.1007/978-94-009-6294-1

  • Publisher: Springer Dordrecht

  • eBook Packages: Springer Book Archive

  • Copyright Information: D. Reidel Publishing Company, Dordrecht, Holland 1984

  • Hardcover ISBN: 978-90-277-1674-3Published: 30 September 1984

  • Softcover ISBN: 978-94-009-6296-5Published: 12 November 2011

  • eBook ISBN: 978-94-009-6294-1Published: 06 December 2012

  • Series ISSN: 0168-1222

  • Series E-ISSN: 2365-6425

  • Edition Number: 1

  • Number of Pages: XX, 374

  • Topics: Statistics, general, Theoretical, Mathematical and Computational Physics

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