Publisher's hardback in nearly new condition: firm and square, no bumps, no splits. Contents tight, crisp and clean; no pen-marks. Not from a library so no such stamps or labels. Looks and feels unread. Thus a tidy book in very presentable condition.

Bestandsnummer des Verk�ufers 124004

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Bibliografische Details

Titel

An Introduction to Statistical Mechanics and Thermodynamics (Oxford Graduate Texts)

Verlag

Oxford University Press

Erscheinungsjahr

2012

Sprache

Englisch

ISBN-10

0199646945

ISBN-13

9780199646944

Einband

Hardcover

Auflage

First Edition.

Zustand

Like New

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Inhaltsangabe

This text presents the two complementary aspects of thermal physics as an integrated theory of the properties of matter. Conceptual understanding is promoted by thorough development of basic concepts. In contrast to many texts, statistical mechanics, including discussion of the required probability theory, is presented first. This provides a statistical foundation for the concept of entropy, which is central to thermal physics. A unique feature of the book is the development of entropy based on Boltzmann's 1877 definition; this avoids contradictions or ad hoc corrections found in other texts. Detailed fundamentals provide a natural grounding for advanced topics, such as black-body radiation and quantum gases. An extensive set of problems (solutions are available for lecturers through the OUP website), many including explicit computations, advance the core content by probing essential concepts. The text is designed for a two-semester undergraduate course but can be adapted for one-semester courses emphasizing either aspect of thermal physics. It is also suitable for graduate study.

�ber die Autorin bzw. den Autor

Robert H. Swendsen is Professor of Physics at Carnegie Mellon University, where he works primarily in computational statistical mechanics. Professor Swendsen is a Fellow of both the American Physical Society and the American Association for the Advancement of Science. He was given an IBM Outstanding Achievement Award in 1981 and shared a Forefronts of Large-Scale Computational Problems Award with S. Kumar, J.M. Rosenberg, and P.A. Kollman in 1991.

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