Introductory Statistical Mechanics
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States of Matter
Author | : David L. Goodstein |
Publsiher | : Courier Corporation |
Total Pages | : 512 |
Release | : 2014-06-01 |
Genre | : Science |
ISBN | : 9780486795515 |
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Suitable for advanced undergraduates and graduate students of physics, this uniquely comprehensive overview provides a rigorous, integrated treatment of physical principles and techniques related to gases, liquids, solids, and their phase transitions. 1975 edition.
Introductory Statistical Mechanics for Physicists
Author | : D. K. C. MacDonald |
Publsiher | : Courier Corporation |
Total Pages | : 196 |
Release | : 2006-01-01 |
Genre | : Science |
ISBN | : 9780486453231 |
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This concise introduction is geared toward those concerned with solid state or low temperature physics. It presents the principles with simplicity and clarity, reviewing issues of critical interest. 1963 edition.
Introductory Statistical Mechanics
Author | : Roger Bowley,Mariana Sánchez |
Publsiher | : Unknown |
Total Pages | : 0 |
Release | : 2023 |
Genre | : Quantum statistics |
ISBN | : 0191992240 |
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This work explains the ideas and techniques of statistical mechanics - the theory of condensed matter - in a simple and progressive way.
Thermodynamics and Introductory Statistical Mechanics
Author | : Bruno Linder |
Publsiher | : John Wiley & Sons |
Total Pages | : 227 |
Release | : 2004-10-06 |
Genre | : Science |
ISBN | : 9780471681748 |
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In this clear and concise introduction to thermodynamics and statistical mechanics the reader, who will have some previous exposure to thermodynamics, will be guided through each of the two disciplines separately initially to provide an in-depth understanding of the area and thereafter the connection between the two is presented and discussed. In addition, mathematical techniques are introduced at appropriate times, highlighting such use as: exact and inexact differentials, partial derivatives, Caratheodory's theorem, Legendre transformation, and combinatory analysis. * Emphasis is placed equally on fundamentals and applications * Several problems are included
Introduction to Statistical Mechanics
Author | : S. K. Sinha |
Publsiher | : Alpha Science Int'l Ltd. |
Total Pages | : 476 |
Release | : 2005 |
Genre | : Science |
ISBN | : 1842653024 |
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Discusses the basic law of statistical physics and their applications to a range of interesting problems. In this title, the basic principles of equilibrium statistical mechanics are clearly formulated and applied to specific examples of ideal gases and interacting systems to bring out their strength and scope.
Introduction to Statistical Mechanics and Thermodynamics
Author | : Keith Stowe |
Publsiher | : Unknown |
Total Pages | : 568 |
Release | : 1984 |
Genre | : Science |
ISBN | : UOM:39015012442672 |
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An introductory textbook using the statistical approach for covering classical and quantum statistics and classical thermodynamics, geared for undergraduates majoring in physics. Develops fundamental concepts carefully and deliberately. Frequent use is made of summaries, shaded for ease of identification and placed strategically throughout the text for first-time student involvement in concepts. Includes over 400 homework problems as an aid in student understanding.
Statistical Mechanics of Lattice Systems
Author | : Sacha Friedli,Yvan Velenik |
Publsiher | : Cambridge University Press |
Total Pages | : 643 |
Release | : 2017-11-23 |
Genre | : Mathematics |
ISBN | : 9781107184824 |
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A self-contained, mathematical introduction to the driving ideas in equilibrium statistical mechanics, studying important models in detail.
An Introduction to Statistical Mechanics and Thermodynamics
Author | : Robert H. Swendsen |
Publsiher | : Oxford University Press |
Total Pages | : 422 |
Release | : 2012-03 |
Genre | : Mathematics |
ISBN | : 9780199646944 |
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This text presents statistical mechanics and thermodynamics as a theoretically integrated field of study. It stresses deep coverage of fundamentals, providing a natural foundation for advanced topics. The large problem sets (with solutions for teachers) include many computational problems to advance student understanding.