Derivative relations for determinants, Pfaffians and characteristic polynomials in random matrix theory
Gernot Akemann, Georg Angermann, Mario Kieburg, Adrian Padellaro

TL;DR
This paper derives explicit formulas for derivatives of ratios of determinants and Pfaffians in random matrix theory, with applications to various ensembles and connections to the Riemann zeta function.
Contribution
It generalizes previous results by providing formulas for higher order derivatives of ratios of determinants in multiple variables, applicable to diverse random matrix ensembles.
Findings
Explicit formulas for derivatives of determinant and Pfaffian ratios.
Representation of higher order derivatives as sums over partitions.
Applications demonstrated for Ginibre and circular unitary ensembles.
Abstract
Explicit expressions are proven for derivatives of the ratio of a determinant or Pfaffian determinant and a Vandermonde determinant. Such ratios appear for example in general group integrals of Harish-Chandra--Itzykson--Zuber type and in expectation values of products of characteristic polynomials in random matrix theory. In the latter case we start from known results for general non-Hermitian and Hermitian ensembles for expectation values without derivatives, at finite matrix size. They are given in terms of the determinant or Pfaffian of the corresponding kernel, for unitary or orthogonal and symplectic ensembles, respectively. Several equivalent expressions are proven for general ratios of determinants, starting from first order derivatives containing the Borel transform of the corresponding matrix or kernel. Higher order derivatives are expressed as sums over partitions containing…
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.
