Elements of Statistical Mechanics: With an Introduction to Quantum Field Theory and Numerical Simulation - Softcover

Sachs, Ivo

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9780521143646: Elements of Statistical Mechanics: With an Introduction to Quantum Field Theory and Numerical Simulation

Synopsis

This concise introduction to the key concepts and tools of modern statistical mechanics is self-contained. Combining analytical and numerical techniques, it also covers advanced topics such as non-relativistic quantum field theory. After introducing classical analytical techniques, the authors present important numerical methods and a diverse range of applications. Quantum statistical mechanics is then analyzed and applied to topics in astrophysics and cosmology. Combining the authors' many years' experience of teaching courses in this area, this textbook is ideal for advanced students in physics, chemistry and mathematics.

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About the Author

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.

Review

"It is a well-written book, providing general information and stimulating discussions on different and relevant topics in many-particle physical systems. In this sense it constitutes a short and introductory guide to many subjects which may be of interest for undergraduate and postgraduate students in physics, a purpose clearly established in the preface."
Marco Corgini, Mathematical Reviews

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Other Popular Editions of the Same Title

9780521841986: Elements of Statistical Mechanics: With an Introduction to Quantum Field Theory and Numerical Simulation

Featured Edition

ISBN 10:  0521841984 ISBN 13:  9780521841986
Publisher: Cambridge University Press, 2006
Hardcover