经典可积系统导论

经典可积系统导论 pdf epub mobi txt 电子书 下载 2025

出版者:
作者:贝博龙
出品人:
页数:602
译者:
出版时间:2009-5
价格:88.00元
装帧:
isbn号码:9787510004575
丛书系列:
图书标签:
  • 数学 
  • 数学物理 
  • 可积系统 
  •  
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《经典可积系统导论》是贝博龙编著的,provides a thorough introduction to the theory of classical integrable systems, discussing the various approaches to the subject and explaining their interrelations. The book begins by introducing the central ideas of the theory of integrable systems, based on Lax representations, loop groups and Riemann surfaces. These ideas are then illustrated with detailed studies of model systems. The connection between isomon- odromic deformation and integrability is discussed, and integrable field theories are covered in detail. The KP, KdV and 'lbda hierarchies are explained using the notion of Grassmannian, vertex operators and pseudo-differential operators. A chapter is devoted to the inverse scattering method and three complementary chapters cover the necessary mathematical tools from symplectic geometry, Riemann surfaces and Lie algebras. The book contains many worked examples and is suitable for use as a textbook on graduate courses. It also provides a comprehensive reference for researchers already working in the field. O LIVIE R B A B E L O N has been a member of the Centre National de la Recherche Sci- entifique (CNRS) since 1978. He works at the Laboratoire de Physique Theorique et Hautes Energies (LPTRE) at the University of Paris VI-Paris VII. His main fields of interest are particle physics, gauge theories and integrables systems. M I C H E L T A L O N has been a member of the CNRS since 1977. He works at the LPTHE at the University of Paris VI-Paris VII. He is involved in the computation of radiative corrections and anomalies in gauge theories and integrable systems. DENIS BERNARD has been a member of the CNRS since 1988. He currently works at the Service de Physique Theorique de Saclay. His main fields of interest are conforma[ field theories and integrable systems, and other aspects of statistical field theories, including statistical turbulence.

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