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Titlebook: Entropy, Large Deviations, and Statistical Mechanics; Richard S. Ellis Book 1985 Springer-Verlag New York Inc. 1985 Large.Maxwell-Boltzman

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書(shū)目名稱(chēng)Entropy, Large Deviations, and Statistical Mechanics
編輯Richard S. Ellis
視頻videohttp://file.papertrans.cn/312/311878/311878.mp4
叢書(shū)名稱(chēng)Grundlehren der mathematischen Wissenschaften
圖書(shū)封面Titlebook: Entropy, Large Deviations, and Statistical Mechanics;  Richard S. Ellis Book 1985 Springer-Verlag New York Inc. 1985 Large.Maxwell-Boltzman
描述This book has two main topics: large deviations and equilibrium statistical mechanics. I hope to convince the reader that these topics have many points of contact and that in being treated together, they enrich each other. Entropy, in its various guises, is their common core. The large deviation theory which is developed in this book focuses upon convergence properties of certain stochastic systems. An elementary example is the weak law of large numbers. For each positive e, P{ISn/nl 2: e} con- verges to zero as n --+ 00, where Sn is the nth partial sum of indepen- dent identically distributed random variables with zero mean. Large deviation theory shows that if the random variables are exponentially bounded, then the probabilities converge to zero exponentially fast as n --+ 00. The exponen- tial decay allows one to prove the stronger property of almost sure conver- gence (Sn/n --+ 0 a.s.). This example will be generalized extensively in the book. We will treat a large class of stochastic systems which involve both indepen- dent and dependent random variables and which have the following features: probabilities converge to zero exponentially fast as the size of the system increase
出版日期Book 1985
關(guān)鍵詞Large; Maxwell-Boltzmann distribution; Mechanics; entropy; statistical mechanics; system; thermodynamics
版次1
doihttps://doi.org/10.1007/978-1-4613-8533-2
isbn_ebook978-1-4613-8533-2Series ISSN 0072-7830 Series E-ISSN 2196-9701
issn_series 0072-7830
copyrightSpringer-Verlag New York Inc. 1985
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https://doi.org/10.1007/978-3-540-31041-9 theory, which include laws of large numbers and central limit theorems, summarize the behavior of a stochastic system in terms of a few parameters (e.g., mean and variance). In statistical mechanics, one derives macroscopic properties of a substance from a probability distribution that describes th
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Das wechselhafte Leben der Sterne of a liquid-gas phase transition. The liquid and the gas are said to be two phases of the same substance. One of the most interesting problems in equilibrium statistical mechanics is to explain phase transitions in terms of the probability distributions on configuration space which describe the mic
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https://doi.org/10.1007/1-84628-129-6large deviation theorem for random vectors [Theorem 11.6.1] which generalized the level-1 property. In this chapter, Theorem 11.6.1 will be proved [Sections VII.2–VII.4] and the level-1 large deviation property will be derived as a corollary [Section VII.5]. The results on exponential convergence of
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