A Road to Randomness in Physical Systems

  • Eduardo M. R. A. Engel

Part of the Lecture Notes in Statistics book series (LNS, volume 71)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Eduardo M. R. A. Engel
    Pages 1-11
  3. Eduardo M. R. A. Engel
    Pages 12-25
  4. Eduardo M. R. A. Engel
    Pages 26-54
  5. Eduardo M. R. A. Engel
    Pages 55-88
  6. Eduardo M. R. A. Engel
    Pages 89-124
  7. Eduardo M. R. A. Engel
    Pages 125-150
  8. Back Matter
    Pages 151-157

About this book

Introduction

There are many ways of introducing the concept of probability in classical, i. e, deter­ ministic, physics. This work is concerned with one approach, known as "the method of arbitrary funetionJ. " It was put forward by Poincare in 1896 and developed by Hopf in the 1930's. The idea is the following. There is always some uncertainty in our knowledge of both the initial conditions and the values of the physical constants that characterize the evolution of a physical system. A probability density may be used to describe this uncertainty. For many physical systems, dependence on the initial density washes away with time. Inthese cases, the system's position eventually converges to the same random variable, no matter what density is used to describe initial uncertainty. Hopf's results for the method of arbitrary functions are derived and extended in a unified fashion in these lecture notes. They include his work on dissipative systems subject to weak frictional forces. Most prominent among the problems he considers is his carnival wheel example, which is the first case where a probability distribution cannot be guessed from symmetry or other plausibility considerations, but has to be derived combining the actual physics with the method of arbitrary functions. Examples due to other authors, such as Poincare's law of small planets, Borel's billiards problem and Keller's coin tossing analysis are also studied using this framework. Finally, many new applications are presented.

Keywords

Generator Mathematica Rang Variation dynamical systems ergodic theory modeling probability

Authors and affiliations

  • Eduardo M. R. A. Engel
    • 1
    • 2
  1. 1.Department of EconomicsMassachusetts Institute of TechnologyCambridgeUSA
  2. 2.Departamento de Ingeniería IndustrialUniversidad de ChileSantiagoChile

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-8684-9
  • Copyright Information Springer-Verlag New York 1992
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-0-387-97740-9
  • Online ISBN 978-1-4419-8684-9
  • Series Print ISSN 0930-0325
  • About this book