We show that a perturbation of any fixed square matrix D by a random unitary matrix is well invertible with high probability. A similar result holds for perturbations by random orthogonal matrices; the only notable exception is when D is close to orthogonal. As an application, these results completely eliminate a hard-to-check condition from the Single Ring Theorem by Guionnet, Krishnapur and Zeitouni
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mathematics, May, 2020Cataloged...
AbstractWe generally study the density of eigenvalues in unitary ensembles of random matrices from t...
We generally study the density of eigenvalues in unitary ensembles of random matrices from the recur...
We show that a perturbation of any fixed square matrix D by a random unitary matrix is well invertib...
We study n by n symmetric random matrices H, possibly discrete, with iid above-diagonal entries. We ...
We study n by n symmetric random matrices H, possibly discrete, with iid above-diagonal entries. We ...
This volume expands on a set of lectures held at the Courant Institute on Riemann-Hilbert problems, ...
We review some recent developments in random matrix theory, and establish a moderate deviation resul...
Abstract. We study invertibility of matrices of the form D + R where D is an arbitrary symmetric det...
The set of Hamiltonians generated by all unitary transformations from a single Hamiltonian is the la...
This book features a unified derivation of the mathematical theory of the three classical types of i...
Abstract. The set of Hamiltonians generated by all unitary transformations from a single Hamiltonian...
AbstractLet q = pe be a power of a prime. Suppose we are given a probability distribution on GF(q) n...
Quantitative invertibility of random matrices: a combinatorial perspective, Discrete Analysis 2021:1...
Abstract. A fundamental result of free probability theory due to Voiculescu and subsequently refined...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mathematics, May, 2020Cataloged...
AbstractWe generally study the density of eigenvalues in unitary ensembles of random matrices from t...
We generally study the density of eigenvalues in unitary ensembles of random matrices from the recur...
We show that a perturbation of any fixed square matrix D by a random unitary matrix is well invertib...
We study n by n symmetric random matrices H, possibly discrete, with iid above-diagonal entries. We ...
We study n by n symmetric random matrices H, possibly discrete, with iid above-diagonal entries. We ...
This volume expands on a set of lectures held at the Courant Institute on Riemann-Hilbert problems, ...
We review some recent developments in random matrix theory, and establish a moderate deviation resul...
Abstract. We study invertibility of matrices of the form D + R where D is an arbitrary symmetric det...
The set of Hamiltonians generated by all unitary transformations from a single Hamiltonian is the la...
This book features a unified derivation of the mathematical theory of the three classical types of i...
Abstract. The set of Hamiltonians generated by all unitary transformations from a single Hamiltonian...
AbstractLet q = pe be a power of a prime. Suppose we are given a probability distribution on GF(q) n...
Quantitative invertibility of random matrices: a combinatorial perspective, Discrete Analysis 2021:1...
Abstract. A fundamental result of free probability theory due to Voiculescu and subsequently refined...
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mathematics, May, 2020Cataloged...
AbstractWe generally study the density of eigenvalues in unitary ensembles of random matrices from t...
We generally study the density of eigenvalues in unitary ensembles of random matrices from the recur...