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Books > Science & Math > Physics > Quantum Theory > 0471915335
  1. Statistical Physics, 2nd Edition
    Statistical Physics, 2nd Edition
    Statistical Physics, 2nd Edition
    Statistical Physics, 2nd Edition
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  2. Statistical Physics, 2nd Edition

    Delivery: 10-20 Working Days
    Customer Ratings (7 reviews)
    Price R1436.00

Additional Information

The Manchester Physics Series General Editors: D. J. Sandiford; F. Mandl; A. C. Phillips Department of Physics and Astronomy, University of Manchester Properties of Matter B. H. Flowers and E. Mendoza Optics Second Edition F. G. Smith and J. H. Thomson Statistical Physics Second Edition E. Mandl Electromagnetism Second Edition I. S. Grant and W. R. Phillips Statistics R. J. Barlow Solid State Physics Second Edition J. R. Hook and H. E. Hall Quantum Mechanics F. Mandl Particle Physics Second Edition B. R. Martin and G. Shaw The Physics of Stars Second Edition A. C. Phillips Computing for Scientists R. J. Barlow and A. R. Barnett

Statistical Physics, Second Edition develops a unified treatment of statistical mechanics and thermodynamics, which emphasises the statistical nature of the laws of thermodynamics and the atomic nature of matter. Prominence is given to the Gibbs distribution, leading to a simple treatment of quantum statistics and of chemical reactions. Undergraduate students of physics and related sciences will find this a stimulating account of the basic physics and its applications. Only an elementary knowledge of kinetic theory and atomic physics, as well as the rudiments of quantum theory, are presupposed for an understanding of this book. Statistical Physics, Second Edition features:
  • A fully integrated treatment of thermodynamics and statistical mechanics.
  • A flow diagram allowing topics to be studied in different orders or omitted altogether.
  • Optional "starred" and highlighted sections containing more advanced and specialised material for the more ambitious reader.
  • Sets of problems at the end of each chapter to help student understanding. Hints for solving the problems are given in an Appendix.

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Franz Mandl
Most Helpful Customer Reviews

Thermodynamics gives a phenomenological description of properties of matter that are dependent on temperature. Whereas Statistical Physics attempts to give a microscopic view point of properties of matterThere is no concept of heat as such in the statistical approach . The two subjects though different in their approach complement each other. The crux of the difficulty is a begginner must try not imagine very much in a microscopic level when he learns thermodynamics. But when a student learns Statistical Physics he has to imagine in microscopic terms. There are usually two broad varieties of text books, Those which emphasize thermodynamics and leave statistical physics. But the worst case is books which start with a microscopic view.(e.g books by Pippard , Zemansky & Dittmanetc) These books fail to make a student appreciate the beauty and mathematical completeness of classical thermodynamics.(e.g popular books by Rief Kittel & Kromer,Baierlin). I have seen a ! few friends... Read more
This book is really one of the most interesting books I've ever read, and is my favorite book in physics. The writing style is clear, the figures and graphs well-done, and the book contains valuable exercises and partial solutions. As an undergraduate text it requires a basic background in diff. eq., classical mechanics, e&m etc, but never gets too intimidating. In a graduate statmech class I found the background I received from Mandl carried me almost all the way through. What a great book!
This book has for many years been the book on our University's

second-year course on thermodynamics and statistical physics. It gives a good introduction to both topics and especially

how the two relate to each other. It is mostly clearly written and

has good examples. It is not perfect by any means, e.g.

the blackbody radiation is inexplicably presented before the

Bose-Einstein distribution is derived, and the example

on the Clausius-Clapeyron equation uses an unnecessarily

crude approximation, but overall it still remains one of

the best conxise texts on the subject.
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