Singular Value Statistics for the Spiked Elliptic Ginibre Ensemble
Dang-Zheng Liu, Yanhui Wang

TL;DR
This paper studies the singular value statistics of the extended elliptic Ginibre ensemble, revealing Pfaffian point process structures, phase transitions, and crossover phenomena as parameters vary, connecting GUE and Wishart matrix behaviors.
Contribution
It extends the understanding of singular value distributions in elliptic ensembles, deriving new Pfaffian kernels and describing phase transitions and crossover phenomena.
Findings
Singular values form a Pfaffian point process with contour integral kernels.
Largest singular value distribution converges to a new Fredholm Pfaffian series at critical parameter rates.
Established Baik-Ben Arous-Péché transition and sine kernel behavior in the bulk.
Abstract
The complex elliptic Ginibre ensemble with coupling is a complex Gaussian matrix interpolating between the Gaussian Unitary Ensemble (GUE) and the Ginibre ensemble. It has been known for some time that its eigenvalues form a determinantal point process in the complex plane. A recent result of Kanazawa and Kieburg (arXiv:1804.03985) shows that the singular values form a Pfaffian point process. In this paper we turn to consider an extended elliptic Ginibre ensemble, which connects the GUE and the spiked Wishart matrix, and prove that the singular values still build a Pfaffian point process with correlation kernels expressed by contour integral representations. As tends to 1 at a certain critical rate, we prove that the limiting distribution of the largest singular value is described as a new Fredholm Pfaffian series, which connects two distributions and…
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.
Taxonomy
TopicsRandom Matrices and Applications · Stochastic processes and statistical mechanics · Advanced Combinatorial Mathematics
