Paperback. This 2006 textbook provides a concise introduction to the key concepts and tools of statistical mechanics. It also covers advanced topics such as non-relativistic quantum field theory and numerical methods. After introducing classical analytical techniques, such as cluster expansion and Landau theory, the authors present important numerical methods with applications to magnetic systems, Lennard-Jones fluids and biophysics. Quantum statistical mechanics is discussed in detail and applied to Bose-Einstein condensation and topics in astrophysics and cosmology. In order to describe emergent phenomena in interacting quantum systems, canonical non-relativistic quantum field theory is introduced and then reformulated in terms of Feynman integrals. Combining the authors' many years' experience of teaching courses in this area, this textbook is ideal for advanced undergraduate and graduate students in physics, chemistry and mathematics. A concise 2006 introduction to key concepts and tools of statistical mechanics. Self-contained, it combines analytical and numerical techniques, and presents a diverse range of applications. Built on many years' teaching experience, this textbook is ideal for advanced students across the physical sciences. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliografische Details

Titel: Elements of Statistical Mechanics (Paperback)
Verlag: Cambridge University Press, Cambridge
Erscheinungsjahr: 2010
Sprache: Englisch
ISBN-10: 0521143640
ISBN-13: 9780521143646
Einband: Paperback
Zustand: new

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A concise 2006 textbook introducing key concepts, tools and applications of statistical mechanics.

�ber die Autorin bzw. den Autor

I. Sachs is Professor of Physics at the Department of Physics, Ludwig-Maximilians-Universitat (LMU), Munchen, Germany. S. Sen is the Deputy Director of the Hamilton Mathematics Institute Trinity College, Dublin and coauthor of Nash & Sen, Topology and Geometry for Physicists (ISBN 0125140819) J. C. Sexton is Director of High Performance Computing and also Associate Professor at the Department of Pure and Applied Mathematics at Trinity College, Dublin.

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