9780521895934 - Chaos and Coarse Graining in Statistical Mechanics von Castiglione, Patrizia; Falcioni, Massimo; Lesne, Annick (7 Ergebnisse)

Hardcover. Zustand: Very Good. Chaos and Coarse Graining in Statistical Mechanics This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.

Hardcover. Zustand: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.

Zustand: New. pp. x + 268 35 Illus.

Zustand: New. In.

Zustand: New. Presents concepts of chaotic systems for researchers and graduate students in statistical mechanics and chaos. Num Pages: 280 pages, 35 b/w illus. BIC Classification: PBKJ; PHS. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 255 x 175 x 18. Weight in Grams: 694. . 2008. Illustrated. hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Zustand: Brand New. illustrated edition. 280 pages. 9.75x7.00x0.75 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - While statistical mechanics describe the equilibrium state of systems with many degrees of freedom, and dynamical systems explain the irregular evolution of systems with few degrees of freedom, new tools are needed to study the evolution of systems with many degrees of freedom. This book presents the basic aspects of chaotic systems, with emphasis on systems composed by huge numbers of particles. Firstly, the basic concepts of chaotic dynamics are introduced, moving on to explore the role of ergodicity and chaos for the validity of statistical laws, and ending with problems characterized by the presence of more than one significant scale. Also discussed is the relevance of many degrees of freedom, coarse graining procedure, and instability mechanisms in justifying a statistical description of macroscopic bodies. Introducing the tools to characterize the non asymptotic behaviors of chaotic systems, this text will interest researchers and graduate students in statistical mechanics and chaos.