Fundamental Kinetic Processes
by E. Ben-Naim, P. L. Krapivsky, S. Redner
Publisher: Boston University 2008
The authors discuss the development of basic kinetic approaches to more complex and contemporary systems. Among the large menu of stochastic and irreversible processes, we chose the ones that we consider to be among the most important and most instructive in leading to generic understanding. The target audience is graduate students with a one-course background in equilibrium statistical physics.
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by Ben Simons - University of Cambridge
Contents -- Preface; Chapter 1: Critical Phenomena; Chapter 2: Ginzburg-Landau Theory; Chapter 3: Scaling Theory; Chapter 4: Renormalisation Group; Chapter 5: Topological Phase Transitions; Chapter 6: Functional Methods in Quantum Mechanics.
by T. Chou, K. Mallick, R. K. P. Zia - arXiv
We review some of the many recent activities on non-equilibrium statistical mechanics, focusing on general aspects. Using the language of stochastic Markov processes, we emphasize general properties of the evolution of configurational probabilities.
by Oleg Kupervasser - arXiv
Statistical classical mechanics and quantum mechanics are two developed theories that contain a number of paradoxes. However the given paradoxes can be resolved within the framework of the existing physics, without introduction of new laws.
by K. P. N. Murthy - arXiv
A brief introduction to the technique of Monte Carlo simulations in statistical physics. The topics covered include statistical ensembles random and pseudo random numbers, random sampling techniques, importance sampling, Markov chain, etc.