This monograph constructs classical statistical mechanics as a deductive system, based on the equations of motion and the basic postulates of probability. The treatment consists chiefly of theorems and proofs that are expressed in a manner that reveals the theory's logical structure. Requiring only familiarity with the elements of calculus and analytical geometry, Axiomatics of Classical Statistical Mechanics
is geared toward advanced undergraduates and graduate students in mathematical physics.
An opening chapter on mathematical tools makes the text as self-contained as possible. Subsequent chapters explore the phase flows of mechanical systems, the initial distribution of probability in the phase space, and both time-dependent and time-independent probability distributions. A final chapter covers statistical thermodynamics.
Reprint of the the Pergamon Press, Oxford and New York, 1960 edition.
Originally published as Volume 11 in the International Series of Monographs in Pure and Applied Mathematics.
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