Applications of Random Matrices in Physics
β Scribed by Brezin E., et al. (eds.)
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Leaves
- 518
- Series
- NATO-ASI-II 221
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Random matrices are widely and successfully used in physics for almost 60-70 years, beginning with the works of Dyson and Wigner. Although it is an old subject, it is constantly developing into new areas of physics and mathematics. It constitutes now a part of the general culture of a theoretical physicist. Mathematical methods inspired by random matrix theory become more powerful, sophisticated and enjoy rapidly growing applications in physics. Recent examples include the calculation of universal correlations in the mesoscopic system, new applications in disordered and quantum chaotic systems, in combinatorial and growth models, as well as the recent breakthrough, due to the matrix models, in two dimensional gravity and string theory and the non-abelian gauge theories. The book consists of the lectures of the leading specialists and covers rather systematically many of these topics. It can be useful to the specialists in various subjects using random matrices, from PhD students to confirmed scientists
π SIMILAR VOLUMES
Random matrices are widely and successfully used in physics for almost 60-70 years, beginning with the works of Dyson and Wigner. Although it is an old subject, it is constantly developing into new areas of physics and mathematics. It constitutes now a part of the general culture of a theoretical ph
<p>At the present moment, after the success of the renormalization group in providing a conceptual framework for studying second-order phase tranΒ sitions, we have a nearly satisfactory understanding of the statistical meΒ chanics of classical systems with a non-random Hamiltonian. The situation is
The book contains three parts: Spectral theory of large dimensional random matrices; Applications to wireless communications; and Applications to finance. In the first part, we introduce some basic theorems of spectral analysis of large dimensional random matrices that are obtained under finite mome