On the Foundations of Statistical Mechanics: Ergodicity, Many Degrees of Freedom and Inference
On the Foundations of Statistical Mechanics: Ergodicity, Many Degrees of Freedom and Inference作者机构:Sorbonne UniversitésUPMC Univ Paris 06CNRSUMR7190Institut Jean Le Rond d’AlembertF-75005 ParisFrance Kavli Institute for Theoretical Physics ChinaCAS Dip.Scienze MatematichePolitecnico di TorinoC.Duca degli Abruzzi 24TorinoItaly INFNSezione di TorinoVia P.Giuria 1TorinoItaly Dipartimento di FisicaUniversità "La Sapienza" RomaItaly ISC-CNRPiazzale A.Moro 2 – 00185 RomaItaly
出 版 物:《Communications in Theoretical Physics》 (理论物理通讯(英文版))
年 卷 期:2014年第61卷第10期
页 面:469-475页
核心收录:
学科分类:0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学] 0704[理学-天文学] 0702[理学-物理学]
主 题:ergodic hypothesis chaos emergent properties statical inference
摘 要:We review the main aspects of the foundations of statistical mechanics. In particular we explain why many degrees of freedom are necessary, while chaos(in the sense of positive Lyapunov exponents) is only marginally relevant,for the emergence of statistical laws in macroscopic systems.