The rank of random regular digraphs of constant degree
Alexander Litvak, Anna Lytova, Konstantin Tikhomirov, Nicole, Tomczak-Jaegermann, Pierre Youssef

TL;DR
This paper proves that the adjacency matrices of large random directed regular graphs are almost surely of rank at least n-1, combining switchings and eigenvector delocalization techniques.
Contribution
It establishes a high-probability lower bound on the rank of adjacency matrices of random regular digraphs, advancing understanding of their spectral properties.
Findings
Rank of adjacency matrix is at least n-1 with high probability
Uses switchings and eigenvector delocalization methods
Results hold for large fixed degree d
Abstract
Let be a fixed large integer. For any larger than , let be the adjacency matrix of the random directed -regular graph on vertices, with the uniform distribution. We show that has rank at least with probability going to one as goes to infinity. The proof combines the method of simple switchings and a recent result of the authors on delocalization of eigenvectors of .
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
