{ "id": "2310.14132", "version": "v1", "published": "2023-10-21T23:04:18.000Z", "updated": "2023-10-21T23:04:18.000Z", "title": "Spectral measure for uniform $d$-regular digraphs", "authors": [ "Arka Adhikari", "Amir Dembo" ], "comment": "65 pages", "categories": [ "math.PR", "math.CO" ], "abstract": "Consider the matrix $A_{\\mathcal{G}}$ chosen uniformly at random from the finite set of all $N$-dimensional matrices of zero main-diagonal and binary entries, having each row and column of $A_{\\mathcal{G}}$ sum to $d$. That is, the adjacency matrix for the uniformly random $d$-regular simple digraph $\\mathcal{G}$. Fixing $d \\ge 3$, it has long been conjectured that as $N \\to \\infty$ the corresponding empirical eigenvalue distributions converge weakly, in probability, to an explicit non-random limit, %measure $\\mu_d$ on $\\mathbb{C}$, which is given by the Brown measure of the free sum of $d$ Haar unitary operators. We reduce this conjecture to bounding the decay in $N$ of the probability that the minimal singular value of the shifted matrix $A(w) = A_{\\mathcal{G}} - w I$ is very small. While the latter remains a challenging task, the required bound is comparable to the recently established control on the singularity of $A_{\\mathcal{G}}$. The reduction is achieved here by sharp estimates on the behavior at large $N$, near the real line, of the Green's function (aka resolvent) of the Hermitization of $A(w)$, which is of independent interest.", "revisions": [ { "version": "v1", "updated": "2023-10-21T23:04:18.000Z" } ], "analyses": { "subjects": [ "46L53", "60B10", "60B20", "05C50", "05C20" ], "keywords": [ "spectral measure", "regular digraphs", "regular simple digraph", "explicit non-random limit", "minimal singular value" ], "note": { "typesetting": "TeX", "pages": 65, "language": "en", "license": "arXiv", "status": "editable" } } }