Random Matrices in 2D, Laplacian Growth and Operator Theory

@misc{citeulike:2746921, abstract = {Since it was first applied to the study of nuclear interactions by Wigner and Dyson, almost 60 years ago, Random Matrix Theory (RMT) has developed into a field of its own within applied mathematics, and is now essential to many parts of theoretical physics, from condensed matter to high energy. The fundamental results obtained so far rely mostly on the theory of random matrices in one dimension (the dimensionality of the spectrum, or equilibrium probability density). In the last few years, this theory has been extended to the case where the spectrum is two-dimensional, or even fractal, with dimensions between 1 and 2. In this article, we review these recent developments and indicate some physical problems where the theory can be applied.}, author = {Mineev, Mark and Putinar, Mihai and Teodorescu, Razvan }, citeulike-article-id = {2746921}, eprint = {0805.0049}, keywords = {matrix, random}, month = {May}, posted-at = {2008-05-14 07:52:03}, priority = {2}, title = {Random Matrices in 2D, Laplacian Growth and Operator Theory}, url = {http://arxiv.org/abs/0805.0049}, year = {2008} }

TY - ELEC ID - citeulike:2746921 L3 - citeulike-article-id:2746921 TI - Random Matrices in 2D, Laplacian Growth and Operator Theory N2 - Since it was first applied to the study of nuclear interactions by Wigner and Dyson, almost 60 years ago, Random Matrix Theory (RMT) has developed into a field of its own within applied mathematics, and is now essential to many parts of theoretical physics, from condensed matter to high energy. The fundamental results obtained so far rely mostly on the theory of random matrices in one dimension (the dimensionality of the spectrum, or equilibrium probability density). In the last few years, this theory has been extended to the case where the spectrum is two-dimensional, or even fractal, with dimensions between 1 and 2. In this article, we review these recent developments and indicate some physical problems where the theory can be applied. KW - matrix KW - random AU - Mineev, Mark AU - Putinar, Mihai AU - Teodorescu, Razvan PY - 2008/May/01/ UR - http://arxiv.org/abs/0805.0049 ER -