9780792302131-0792302133-E. T. Jaynes: Papers on Probability, Statistics and Statistical Physics (Synthese Library (158))

E. T. Jaynes: Papers on Probability, Statistics and Statistical Physics (Synthese Library (158))

ISBN-13: 9780792302131
ISBN-10: 0792302133
Edition: 1989
Publication date: 1989
Publisher: Springer
Format: Paperback 458 pages
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Book details

ISBN-13: 9780792302131
ISBN-10: 0792302133
Edition: 1989
Publication date: 1989
Publisher: Springer
Format: Paperback 458 pages

Summary

Acknowledged author wrote E. T. Jaynes: Papers on Probability, Statistics and Statistical Physics (Synthese Library (158)) comprising 458 pages back in 1989. Textbook and eTextbook are published under ISBN 0792302133 and 9780792302131. Since then E. T. Jaynes: Papers on Probability, Statistics and Statistical Physics (Synthese Library (158)) textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

The first six chapters of this volume present the author's 'predictive' or information theoretic' approach to statistical mechanics, in which the basic probability distributions over microstates are obtained as distributions of maximum entropy (Le. , as distributions that are most non-committal with regard to missing information among all those satisfying the macroscopically given constraints). There is then no need to make additional assumptions of ergodicity or metric transitivity; the theory proceeds entirely by inference from macroscopic measurements and the underlying dynamical assumptions. Moreover, the method of maximizing the entropy is completely general and applies, in particular, to irreversible processes as well as to reversible ones. The next three chapters provide a broader framework - at once Bayesian and objective - for maximum entropy inference. The basic principles of inference, including the usual axioms of probability, are seen to rest on nothing more than requirements of consistency, above all, the requirement that in two problems where we have the same information we must assign the same probabilities. Thus, statistical mechanics is viewed as a branch of a general theory of inference, and the latter as an extension of the ordinary logic of consistency. Those who are familiar with the literature of statistics and statistical mechanics will recognize in both of these steps a genuine 'scientific revolution' - a complete reversal of earlier conceptions - and one of no small significance.

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