Statistical Physics: A Probabilistic Approach
(eBook)
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Format
eBook
Language
English
ISBN
9780486815206
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Citations
APA Citation, 7th Edition (style guide)
Bernard H. Lavenda., & Bernard H. Lavenda|AUTHOR. (2016). Statistical Physics: A Probabilistic Approach . Dover Publications.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Bernard H. Lavenda and Bernard H. Lavenda|AUTHOR. 2016. Statistical Physics: A Probabilistic Approach. Dover Publications.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Bernard H. Lavenda and Bernard H. Lavenda|AUTHOR. Statistical Physics: A Probabilistic Approach Dover Publications, 2016.
MLA Citation, 9th Edition (style guide)Bernard H. Lavenda, and Bernard H. Lavenda|AUTHOR. Statistical Physics: A Probabilistic Approach Dover Publications, 2016.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouping Information
| Grouped Work ID | dc6de2f4-14a6-7824-6ce0-882674ce201a-eng |
|---|---|
| Full title | statistical physics a probabilistic approach |
| Author | lavenda bernard h |
| Grouping Category | book |
| Last Update | 2022-10-18 21:40:45PM |
| Last Indexed | 2024-04-20 03:13:36AM |
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[synopsis] => Suitable for graduate students in chemical physics, statistical physics, and physical chemistry, this text develops an innovative, probabilistic approach to statistical mechanics. The treatment employs Gauss's principle and incorporates Bose-Einstein and Fermi-Dirac statistics to provide a powerful tool for the statistical analysis of physical phenomena. The treatment begins with an introductory chapter on entropy and probability that covers Boltzmann's principle and thermodynamic probability, among other topics. Succeeding chapters offer a case history of black radiation, examine quantum and classical statistics, and discuss methods of processing information and the origins of the canonical distribution. The text concludes with explorations of statistical equivalence, radiative and material phase transitions, and the kinetic foundations of Gauss's error law. Bibliographic notes complete each chapter.
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