Statistical mechanics [2nd ed.] : fundamentals and model solutions
By: Dorlas, Teunis C.
Material type: BookPublisher: Boca Raton CRC 2021Edition: 2nd ed.Description: xxi, 325p.ISBN: 9780367471750.Subject(s): Statistical mechanics | MechanicsDDC classification: 530.13 | D735s2 Summary: 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.Item type | Current location | Collection | Call number | Status | Date due | Barcode | Item holds |
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Books | PK Kelkar Library, IIT Kanpur | In Acquisition | 530.13 D735s2 (Browse shelf) | Available |
Browsing PK Kelkar Library, IIT Kanpur Shelves , Collection code: In Acquisition Close shelf browser
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Includes bibliographical references and index
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.
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