找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

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

[復(fù)制鏈接]
查看: 35049|回復(fù): 44
樓主
發(fā)表于 2025-3-21 18:48:33 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Entropy, Large Deviations, and Statistical Mechanics
編輯Richard S. Ellis
視頻videohttp://file.papertrans.cn/312/311878/311878.mp4
叢書名稱Grundlehren der mathematischen Wissenschaften
圖書封面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
The information of publication is updating

書目名稱Entropy, Large Deviations, and Statistical Mechanics影響因子(影響力)




書目名稱Entropy, Large Deviations, and Statistical Mechanics影響因子(影響力)學(xué)科排名




書目名稱Entropy, Large Deviations, and Statistical Mechanics網(wǎng)絡(luò)公開度




書目名稱Entropy, Large Deviations, and Statistical Mechanics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Entropy, Large Deviations, and Statistical Mechanics被引頻次




書目名稱Entropy, Large Deviations, and Statistical Mechanics被引頻次學(xué)科排名




書目名稱Entropy, Large Deviations, and Statistical Mechanics年度引用




書目名稱Entropy, Large Deviations, and Statistical Mechanics年度引用學(xué)科排名




書目名稱Entropy, Large Deviations, and Statistical Mechanics讀者反饋




書目名稱Entropy, Large Deviations, and Statistical Mechanics讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 21:33:49 | 只看該作者
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
板凳
發(fā)表于 2025-3-22 03:28:13 | 只看該作者
地板
發(fā)表于 2025-3-22 05:41:59 | 只看該作者
5#
發(fā)表于 2025-3-22 09:53:55 | 只看該作者
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
6#
發(fā)表于 2025-3-22 16:11:23 | 只看該作者
7#
發(fā)表于 2025-3-22 20:46:47 | 只看該作者
8#
發(fā)表于 2025-3-22 23:14:20 | 只看該作者
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
9#
發(fā)表于 2025-3-23 03:49:50 | 只看該作者
10#
發(fā)表于 2025-3-23 09:30:05 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-8 02:41
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
垣曲县| 皮山县| 庆安县| 潞城市| 枣强县| 基隆市| 彰化市| 镇赉县| 孟津县| 房产| 色达县| 西乌珠穆沁旗| 白水县| 常州市| 民权县| 兴山县| 商丘市| 宁波市| 北安市| 阿荣旗| 红原县| 横峰县| 黑河市| 青神县| 齐齐哈尔市| 佛学| 郧西县| 易门县| 德清县| 三门峡市| 阳泉市| 福贡县| 苏尼特右旗| 萨迦县| 开原市| 常州市| 太原市| 韶山市| 通海县| 鹤山市| 迭部县|