Establishes quantitative probability bounds on small eigenvalue gaps and singular values for inhomogeneous symmetric subgaussian random matrices, plus improved no-gap delocalization for eigenvectors.
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The eigenvalue gap of inhomogeneous symmetric discrete random matrix
Establishes quantitative probability bounds on small eigenvalue gaps and singular values for inhomogeneous symmetric subgaussian random matrices, plus improved no-gap delocalization for eigenvectors.