Universality for generalized Wigner matrices with Bernoulli distribution

By L. Erdős, Horng-Tzer Yau, Jun Yin. 2010

142 citations recorded by the source corpus.

The universality for the eigenvalue spacing statistics of generalized Wigner matrices was established in our previous work \cite{EYY} under certain conditions on the probability distributions of the matrix elements. A major class of probability measures excluded in \cite{EYY} are the Bernoulli measures. In this paper, we extend the universality result of \cite{EYY} to include the Bernoulli measures so that the only restrictions on the probability distributions of the matrix elements are the subexponential decay and the normalization condition that the variances in each row sum up to one. The new ingredient is a strong local semicircle law which improves the error estimate on the Stieltjes transform of the empirical measure of the eigenvalues from the order $(N \eta)^{-1/2}$ to $(N \eta)^{-1}$. Here $\eta$ is the imaginary part of the spectral parameter in the definition of the Stieltjes transform and $N$ is the size of the matrix.

Subfields: Discrete Mathematics and Combinatorics, Mathematical Physics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/88a10d127dbd58a6cb8771f51fe53f8cd461c293

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In Discrete Mathematics and Combinatorics

  1. Jun Yin
  2. Ji Oon Lee
  3. Horng-Tzer Yau
  4. L. Erdős
  5. Antti Knowles
  6. Natesh S. Pillai
  7. Kevin Schnelli
  8. Z. Bao

In Mathematical Physics

  1. Jun Yin
  2. Horng-Tzer Yau
  3. Ji Oon Lee
  4. L. Erdős
  5. Antti Knowles
  6. Kevin Schnelli
  7. Natesh S. Pillai
  8. Z. Bao

In Statistics and Probability

  1. Jun Yin
  2. Ji Oon Lee
  3. Horng-Tzer Yau
  4. L. Erdős
  5. Kevin Schnelli
  6. Antti Knowles
  7. Natesh S. Pillai
  8. Z. Bao

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