Random regularization of Brown spectral measure
arXiv:math/0105109 · doi:10.1006/jfan.2001.3935
Abstract
We generalize a recent result of Haagerup; namely we show that a convolution with a standard Gaussian random matrix regularizes behaviour of Kadison--Fuglede determinant and Brown spectral distribution measure. In this way it is possible to establish a connection between limit eigenvalues distributions of a wide class of random matrices and the Brown measure of the corresponding limits.
22 pages
Cited by in corpus (22)
- Around the circular law
- Spectral Theory of Sparse Non-Hermitian Random Matrices
- Circular Law Theorem for Random Markov Matrices
- Squared eigenvalue condition numbers and eigenvector correlations from the single ring theorem
- Eigenvalues of non-hermitian random matrices and Brown measure of non-normal operators: hermitian reduction and linearization method
- Unveiling the significance of eigenvectors in diffusing non-hermitian matrices by identifying the underlying Burgers dynamics
- Circular law for non-central random matrices
- PDE methods in random matrix theory
- Outlier eigenvalues for non-Hermitian polynomials in independent i.i.d. matrices and deterministic matrices
- On the spectrum of sum and product of non-hermitian random matrices
- The Brown measure of unbounded variables with free semicircular imaginary part
- Brown measure of the sum of an elliptic operator and a free random variable in a finite von Neumann algebra
- The Brown measure of the sum of a self-adjoint element and an elliptic element
- Overlaps, Eigenvalue Gaps, and Pseudospectrum under real Ginibre and Absolutely Continuous Perturbations
- Convergence of the spectral measure of non normal matrices
- Asymptotic --distribution of permuted Haar unitary matrices
- Universality of the ESD for a fixed matrix plus small random noise: a stability approach
- A Spectral Dominance Approach to Large Random Matrices
- Limiting eigenvalue distribution of the general deformed Ginibre ensemble
- Regularization by free additive convolution, square and rectangular cases
- High-dimensional central limit theorems for eigenvalue distributions of generalized Wishart processes
- Limiting Spectral Distribution of Sum of Unitary and Orthogonal Matrices