Problems in Thermodynamics and Statistical Physics (Paperback)
暫譯: 熱力學與統計物理中的問題 (平裝本)
Peter T. Landsberg
- 出版商: Dover Publications
- 出版日期: 2014-07-16
- 售價: $1,050
- 貴賓價: 9.8 折 $1,029
- 語言: 英文
- 頁數: 592
- 裝訂: Paperback
- ISBN: 0486780759
- ISBN-13: 9780486780757
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相關分類:
熱力學 Thermodynamics、物理學 Physics
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商品描述
Well respected and widely used, this volume presents problems and full solutions related to a wide range of topics in thermodynamics, statistical physics, and statistical mechanics. The text is intended for instructors, undergraduates, and graduate students of mathematics, physics, chemistry, and engineering. Twenty-eight chapters, each prepared by an expert, proceed from simpler to more difficult subjects. Similarly, the early chapters are easier than the later ones, making the book ideal for independent study.
Subjects begin with the laws of thermodynamics and statistical theory of information and of ensembles, advancing to the ideal classical gases of polyatomic molecules, non-electrolyte liquids and solutions, and surfaces. Subsequent chapters explore imperfect classical and quantum gas, phase transitions, cooperative phenomena, Green function methods, the plasma, transport in gases and metals, Nyquist's theorem and its generalizations, stochastic methods, and many other topics.
Subjects begin with the laws of thermodynamics and statistical theory of information and of ensembles, advancing to the ideal classical gases of polyatomic molecules, non-electrolyte liquids and solutions, and surfaces. Subsequent chapters explore imperfect classical and quantum gas, phase transitions, cooperative phenomena, Green function methods, the plasma, transport in gases and metals, Nyquist's theorem and its generalizations, stochastic methods, and many other topics.
商品描述(中文翻譯)
本書受到廣泛尊重並被廣泛使用,介紹了與熱力學、統計物理學和統計力學相關的各種問題及其完整解答。該文本旨在為數學、物理、化學和工程的教師、本科生和研究生提供參考。全書共二十八章,每一章均由專家撰寫,內容從簡單到困難逐步深入。同樣,前面的章節比後面的章節更容易,使本書非常適合獨立學習。
主題從熱力學定律和信息的統計理論及系綱開始,逐步深入到多原子分子的理想經典氣體、非電解質液體和溶液以及表面。隨後的章節探討了不完美的經典和量子氣體、相變、協同現象、格林函數方法、等離子體、氣體和金屬中的傳輸、奈奎斯特定理及其推廣、隨機方法以及許多其他主題。