Item description for Statistical Mechanics: A Short Treatise (Theoretical and Mathematical Physics) by Giovanni Gallavotti...
This book presents a critical and modern analysis of the conceptual foundations of statistical mechanics as laid down in Boltzmann's works. The author emphasises the relation between microscopic reversibility and macroscopic irreversibility. Students will find a clear and detailed explanation of fundamental concepts such as equipartition, entropy and ergodicity. They will learn about Brownian motion, the modern treatment of the thermodynamic limit phase transitions, the microscopic and macroscopic theory of the coexistence of phases, statistical mechanics of stationary states, and fluctuations and dissipation in chaotic motions.
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Est. Packaging Dimensions: Length: 9.45" Width: 6.46" Height: 0.94" Weight: 1.41 lbs.
Release Date Aug 27, 1999
ISBN 3540648836 ISBN13 9783540648833
Availability 133 units. Availability accurate as of Jan 19, 2017 05:55.
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More About Giovanni Gallavotti
Gallavotti, Universita degli Studi "La Sapienza, " Rome, Italy.
Reviews - What do customers think about Statistical Mechanics: A Short Treatise (Theoretical and Mathematical Physics)?
Interesting but limited Apr 14, 2000
This is a refreshing book filled with the sorts of comments a good lecturer might provide during his lectures. It is probably not that good as a text itself, but might make an interesting optional readings book for a graduate class for this reason (and it is relatively inexpensive for books in this limited market). He is much more forthright about the classical/quantum measurement uncertainty issue than are most textbook treatments, and makes a lot of interesting points (such as that thermodynamics as taught usually really involves stationary distributions only). A nice interesting coverage of the basic issues, with much thought in evidence, and many loose threads to many issues in non-linear dynamics, insights into what is acutally going on, limitations of standard treatments, etc. There are also comments on the philosophical foundations of stat mech, and references to more or less recent solutions to important problems, giving a feel for work in the area. There are no exercises.