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  • Gebundenes Buch

Statistical mechanics is the science of predicting the observable properties of a multiple bodied system by studying the statistics of the behaviour of its individual constituents, whether they are atoms, molecules, photons, etc. It provides the link between macroscopic and microscopic states, and as such has the potential to be one of the most satisfying parts of an undergraduate science course - linking in an elegant manner the quantum world with everyday observations of systems containing large numbers of particles. This excellent text is designed to introduce the fundamentals of the…mehr

Produktbeschreibung
Statistical mechanics is the science of predicting the observable properties of a multiple bodied system by studying the statistics of the behaviour of its individual constituents, whether they are atoms, molecules, photons, etc. It provides the link between macroscopic and microscopic states, and as such has the potential to be one of the most satisfying parts of an undergraduate science course - linking in an elegant manner the quantum world with everyday observations of systems containing large numbers of particles. This excellent text is designed to introduce the fundamentals of the subject of statistical mechanics at a level suitable for students who meet the subject for the first time. The treatment given here is designed to give the student a feeling for the topic of statistical mechanics without being held back by the need to understand complex mathematics. The text is concise and concentrates on the understanding of fundamental aspects. Numerous questions with worked solutions are given throughout.
Autorenporträt
Professor A.M. Glazer, Department of Physics, Clarendon Laboratory, University of Oxford, Parks Road, Oxford OX1 3PU, Tel.: 01865/272290, Fax: 01865/272290, Email: m.glazer@physics.ox.ac.uk Professor J.S. Wark, Department of Physics, Clarendon Laboratory, University of Oxford, Parks Road, Oxford OX1 3PU, Tel.: 01865/272251, Fax: 01865/272400, Email: justin.wark@physics.ox.ac.uk