Cambridge Studies in Probability, Induction and Decision Theory

Cambridge Studies in Probability, Induction and Decision Theory

Foundational issues in statistical mechanics and the more general question of how probability is to be understood in the context of physical theories are both areas that have been neglected by philosophers of physics. Les mer
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Cambridge Studies in Probability, Induction and Decision Theory

Foundational issues in statistical mechanics and the more general question of how probability is to be understood in the context of physical theories are both areas that have been neglected by philosophers of physics. This book fills an important gap in the literature by providing a most systematic study of how to interpret probabilistic assertions in the context of statistical mechanics. The book explores both subjectivist and objectivist accounts of probability, and takes full measure of work in the foundations of probability theory, in statistical mechanics, and in mathematical theory. It will be of particular interest to philosophers of science, physicists and mathematicians interested in foundational issues, and also to historians of science.

Introduction; 1. The Neo-Laplacian approach to statistical mechanics; 2. Subjectivism and the Ergodic approach; 3. The Haar measure; 4. Measure and topology in statistical mechanics; 5. Three solutions; Appendix I: mathematical preliminaries; Appendix II: on the foundations of probability; Appendix III: probability in non-equilibrium statistical mechanics; Author index; Subject index.

A most systematic study of how to interpret probabilistic assertions in the context of statistical mechanics.

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