Collective Dynamics of Nonlinear and Disordered Systems

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Radons, Günter (Επιμελητής έκδοσης), Just, Wolfram (Επιμελητής έκδοσης), Häussler, Peter (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
• Θέματα: Physics.; Fluids.; Statistical physics.; Dynamical systems.; Statistical Physics, Dynamical Systems and Complexity.; Numerical and Computational Physics.; Fluid- and Aerodynamics.

 Phase transitions in disordered systems and related dynamical phenomena are a topic of intrinsically high interest in theoretical and experimental physics. This book presents a unified view, adopting concepts from each of the disjoint fields of disordered systems and nonlinear dynamics. Special attention is paid to the glass transition, from both experimental and theoretical viewpoints, to modern concepts of pattern formation, and to the application of the concepts of dynamical systems for understanding equilibrium and nonequilibrium properties of fluids and solids. The content is accessible to graduate students, but will also be of benefit to specialists, since the presentation extends as far as the topics of ongoing research work. 

 Pattern Formation and Growth Phenomena -- to Part I -- Kinetic Pattern Formation at Solid Surfaces -- Nonlinear Dynamics and Pattern Formation in Semiconductor Systems -- Group Theoretic Methods in the Theory of Pattern Formation -- On Fundamental Structure-Forming Processes -- Dynamics of Disordered Systems -- to Part II -- Glass Transition in Colloids and Undercooled Liquids -- Experimental Investigations of Collective Excitations in Disordered Matter -- Theories of the Structural Glass Transition -- Glassy Dynamics and Aging in Disordered Systems -- Nonlinear Dynamics in Aperiodic Crystals -- Complex and Chaotic Behaviour -- to Part III -- Disordered Dynamical Systems -- Lyapunov Instability of Fluids -- On Symbolic Dynamics of Space-Time Chaotic Models -- Complex Adaptive Systems.