Supermathematics and its Applications in Statistical Physics: Grassmann Variables and the Method of Supersymmetry
关于此电子书
The algebra and analysis of Grassmann variables is presented in part I. The mathematics of these variables is applied to a random matrix model, path integrals for fermions, dimer models and the Ising model in two dimensions. Supermathematics - the use of commuting and anticommuting variables on an equal footing - is the subject of part II. The properties of supervectors and supermatrices, which contain both commuting and Grassmann components, are treated in great detail, including the derivation of integral theorems. In part III, supersymmetric physical models are considered. While supersymmetry was first introduced in elementary particle physics as exact symmetry between bosons and fermions, the formal introduction of anticommuting spacetime components, can be extended to problems of statistical physics, and, since it connects states with equal energies, has also found its way into quantum mechanics.
Several models are considered in the applications, after which the representation of the random matrix model by the nonlinear sigma-model, the determination of the density of states and the level correlation are derived. Eventually, the mobility edge behavior is discussed and a short account of the ten symmetry classes of disorder, two-dimensional disordered models, and superbosonization is given.
作者简介
Franz Wegner obtained his PhD from the Technical University in Munich in 1968 and, as postdoctoral researcher, has worked amongst others with Leo Kadanoff at Brown University in Providence, Rhode Island (USA). 1974 he was appointed professor of theoretical physics at Heidelberg University where he became a professor emeritus in 2006. Prof. Wegner is recipient of numerous prizes and awards, among them the Walter-Schottky prize (1976), the Max-Planck medal of the German Physical Society (1986), and most recently of the Lars-Onsager prize of the American Physical Society (2015).
