Random matrix theory and moments of moments of -functions
arXiv:2205.07282 · doi:10.1142/S2010326323500028
Abstract
We give an analytic proof of the asymptotic behaviour of the moments of moments of the characteristic polynomials of random symplectic and orthogonal matrices. We therefore obtain alternate, integral expressions for the leading order coefficients previously found by Assiotis, Bailey and Keating. We also discuss the conjectures of Bailey and Keating for the corresponding moments of moments of L-functions with symplectic and orthogonal symmetry. Specifically, we show that these conjectures follow from the shifted moments conjecture of Conrey, Farmer, Keating, Rubinstein and Snaith.
arXiv comment17 pages
References in corpus (9)
- Freezing Transition, Characteristic Polynomials of Random Matrices, and the Riemann Zeta-Function
- Freezing Transitions and Extreme Values: Random Matrix Theory, , and Disordered Landscapes
- Autocorrelation of Random Matrix Polynomials
- Toeplitz determinants with merging singularities
- Sums of divisor functions in and matrix integrals
- On the moments of the moments of the characteristic polynomials of random unitary matrices
- On the moments of the moments of
- Some multidimensional integrals in number theory and connections with the Painlevé V equation
- On the critical-subcritical moments of moments of random characteristic polynomials: a GMC perspective