Probability and related topics in physical science, by M Kac
Author: Mark Kac
Publisher:
Published: 1959
Total Pages: 266
ISBN-13:
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Author: Mark Kac
Publisher:
Published: 1959
Total Pages: 266
ISBN-13:
DOWNLOAD EBOOKAuthor: Mark Kac
Publisher: American Mathematical Soc.
Published: 1959-12-31
Total Pages: 282
ISBN-13: 0821800477
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Author: Mark Kac
Publisher:
Published: 1959
Total Pages: 266
ISBN-13:
DOWNLOAD EBOOKAuthor:
Publisher:
Published: 1959
Total Pages:
ISBN-13:
DOWNLOAD EBOOKAuthor: Alston Scott Householder
Publisher:
Published: 1959
Total Pages:
ISBN-13:
DOWNLOAD EBOOKAuthor: Gerard G. Emch
Publisher: Springer Science & Business Media
Published: 2013-04-17
Total Pages: 707
ISBN-13: 3662048868
DOWNLOAD EBOOKThis book is devoted to a thorough analysis of the role that models play in the practise of physical theory. The authors, a mathematical physicist and a philosopher of science, appeal to the logicians’ notion of model theory as well as to the concepts of physicists.
Author: Claus Beisbart
Publisher: Oxford University Press
Published: 2011-09-15
Total Pages: 450
ISBN-13: 0199577439
DOWNLOAD EBOOKThis volume provides a philosophical appraisal of probabilities in all of physics. It makes sense of probabilistic statements as they occur in the various physical theories and models and presents a plausible epistemology and metaphysics of probabilities.
Author: Mark Kac
Publisher:
Published: 1957
Total Pages:
ISBN-13:
DOWNLOAD EBOOKAuthor: R.D. Rosenkrantz
Publisher: Springer Science & Business Media
Published: 2012-12-06
Total Pages: 457
ISBN-13: 9400965818
DOWNLOAD EBOOKThe 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.
Author: J. Bricmont
Publisher: Springer
Published: 2008-01-11
Total Pages: 277
ISBN-13: 3540449663
DOWNLOAD EBOOKThis selection of reviews and papers is intended to stimulate renewed reflection on the fundamental and practical aspects of probability in physics. While putting emphasis on conceptual aspects in the foundations of statistical and quantum mechanics, the book deals with the philosophy of probability in its interrelation with mathematics and physics in general. Addressing graduate students and researchers in physics and mathematics togehter with philosophers of science, the contributions avoid cumbersome technicalities in order to make the book worthwhile reading for nonspecialists and specialists alike.