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Statistical Mechanics: Fundamentals and Model Solutions, Second
Edition Fully updated throughout and with new chapters on the Mayer
expansion for classical gases and on cluster expansion for lattice
models, this new edition of Statistical Mechanics: Fundamentals and
Model Solutions provides a comprehensive introduction to
equilibrium statistical mechanics for advanced undergraduate and
graduate students of mathematics and physics. The author presents a
fresh approach to the subject, setting out the basic assumptions
clearly and emphasizing the importance of the thermodynamic limit
and the role of convexity. With problems and solutions, the book
clearly explains the role of models for physical systems, and
discusses and solves various models. An understanding of these
models is of increasing importance as they have proved to have
applications in many areas of mathematics and physics. Features
Updated throughout with new content from the field An established
and well-loved textbook Contains new problems and solutions for
further learning opportunity Author Professor Teunis C. Dorlas is
at the Dublin Institute for Advanced Studies, Ireland.
Statistical Mechanics: Fundamentals and Model Solutions, Second
Edition Fully updated throughout and with new chapters on the Mayer
expansion for classical gases and on cluster expansion for lattice
models, this new edition of Statistical Mechanics: Fundamentals and
Model Solutions provides a comprehensive introduction to
equilibrium statistical mechanics for advanced undergraduate and
graduate students of mathematics and physics. The author presents a
fresh approach to the subject, setting out the basic assumptions
clearly and emphasizing the importance of the thermodynamic limit
and the role of convexity. With problems and solutions, the book
clearly explains the role of models for physical systems, and
discusses and solves various models. An understanding of these
models is of increasing importance as they have proved to have
applications in many areas of mathematics and physics. Features
Updated throughout with new content from the field An established
and well-loved textbook Contains new problems and solutions for
further learning opportunity Author Professor Teunis C. Dorlas is
at the Dublin Institute for Advanced Studies, Ireland.
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