Dieses Buch, auf der Grundlage langjähriger Vorlesungserfahrung der Autoren verfasst, kombiniert in einzigartiger Weise theoretische Grundlagen der Stochastik aus der Mathematik und Physik mit einer Vielzahl von Rechenbeispielen unterschiedlicher Schwierigkeitsgrade. Die Lösungen zu den zahlreichen Übungsaufgaben können von Dozenten angefordert werden.
Table des matières
Fundamental Concepts
Multidimensional Approach
The Master Equation
The Fokker-Planck Equation
The Langevin Equation
One-Dimensional Diffusion
Bounded Drift-Diffusion Motion
The Ornstein-Uhlenbeck Process
Nucleation in Supersaturated Vapors
Vehicular Traffic
Noise-Induced Phase Transitions
Many-Particle Systems
A propos de l’auteur
Reinhard Mahnke received his Ph.D. from the University of Rostock, Germany, where he became assistant professor in Theoretical Physics in 1990. As author of numerous research papers, lecture notes and textbooks he was organizer of several summer schools on many-particle physics in Russia. Professor Mahnke’s fields of expertise are nonlinear dynamical models, phase transitions and traffic flow including self-organizing systems.
Jevgenijs Kaupu’s graduated from the Department of Physics and Mathematics at the University of Latvia in Riga. In 1995, he received his Ph.D. degree for a thesis entitled ‘Role of fluctuations in the phase transition region’. Since 1997, he has been working at the Institute of Mathematics and Computer Science of the University of Latvia, where he was a senior researcher from 2003 to 2005. Today he holds a post as associated professor at the Liepaja Pedagogical Academy, Latvia. The main topics of his work are phase transitions and critical phenomena, traffic flow theory and ferroelectrics. Professor Kaupu’s is the author of more than 70 scientific publications.
Ihor Lubashevsky received his Ph.D. from the Moscow Institute for Physics and Technology in 1980. In 1993, he became assistant professor at Moscow State University. Four years later, he accepted a post as leading staff scientist at the theory department of the A. M. Prokhorov General Physics Institute, Russian Academy of Sciences. He also is chair and professor at the Department for the Modelling of Radio- Physical Processes, Moscow Technical University of Radio- Engineering, Electronics and Automation. Professor Lubashevsky’s research experience spans over statistical physics, in particular non-equilibrium many particle systems.
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