Moments of the characteristic polynomial in the three ensembles of random matrices
M.L. Mehta (CEA/Saclay, SPhT, France), J.-M. Normand (CEA/Saclay,, SPhT, France)

TL;DR
This paper derives explicit determinant and pfaffian formulas for the moments of the characteristic polynomial in orthogonal, unitary, and symplectic random matrix ensembles, revealing new identities between these expressions.
Contribution
It provides novel determinant and pfaffian representations for moments across three classical random matrix ensembles and uncovers surprising identities linking these formulas.
Findings
Explicit formulas for moments as determinants or pfaffians
New identities relating determinants and pfaffians in Gaussian ensembles
Comparative analysis of expressions across different ensembles
Abstract
Moments of the characteristic polynomial of a random matrix taken from any of the three ensembles, orthogonal, unitary or symplectic, are given either as a determinant or a pfaffian or as a sum of determinants. For gaussian ensembles comparing the two expressions of the same moment one gets two remarkable identities, one between an determinant and an determinant and another between the pfaffian of a anti-symmetric matrix and a sum of determinants.
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 · Advanced Combinatorial Mathematics · Molecular spectroscopy and chirality
