Elementary Principles in Statistical Mechanics
(eBook)

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Published
Dover Publications, 2014.
Status
Available Online

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Format
eBook
Language
English
ISBN
9780486799155

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Citations

APA Citation, 7th Edition (style guide)

J. Willard Gibbs., & J. Willard Gibbs|AUTHOR. (2014). Elementary Principles in Statistical Mechanics . Dover Publications.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

J. Willard Gibbs and J. Willard Gibbs|AUTHOR. 2014. Elementary Principles in Statistical Mechanics. Dover Publications.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

J. Willard Gibbs and J. Willard Gibbs|AUTHOR. Elementary Principles in Statistical Mechanics Dover Publications, 2014.

MLA Citation, 9th Edition (style guide)

J. Willard Gibbs, and J. Willard Gibbs|AUTHOR. Elementary Principles in Statistical Mechanics Dover Publications, 2014.

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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Grouped Work ID35fea332-2537-01e1-03e4-50848d337556-eng
Full titleelementary principles in statistical mechanics
Authorgibbs j willard
Grouping Categorybook
Last Update2022-10-18 21:40:45PM
Last Indexed2024-04-20 00:25:57AM

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    [synopsis] => Written by J. Willard Gibbs, the most distinguished American mathematical physicist of the nineteenth century, this book was the first to bring together and arrange in logical order the works of Clausius, Maxwell, Boltzmann, and Gibbs himself. The lucid, advanced-level text remains a valuable collection of fundamental equations and principles. Topics include the general problem and the fundamental equation of statistical mechanics, the canonical distribution of the average energy values in a canonical ensemble of systems, and formulas for evaluating important functions of the energies of a system. Additional discussions cover maximum and minimal properties of distribution in phase, a valuable comparison of statistical mechanics with thermodynamics, and many other subjects.
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