
TL;DR
This paper investigates the spectral properties and singularity probabilities of random circulant matrices, revealing their spectral distribution as complex normal and providing bounds on their singularity likelihood.
Contribution
It establishes the limiting spectral distribution for random circulant matrices and bounds the probability of their singularity, extending results from non-Hermitian random matrix theory.
Findings
Spectral distribution of random circulant matrices is complex normal.
Bounds are provided for the probability that a circulant sign matrix is singular.
Results are analogous to recent theorems on non-Hermitian random matrices.
Abstract
This paper considers random (non-Hermitian) circulant matrices, and proves several results analogous to recent theorems on non-Hermitian random matrices with independent entries. In particular, the limiting spectral distribution of a random circulant matrix is shown to be complex normal, and bounds are given for the probability that a circulant sign matrix is singular.
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.
