Multiplicative chaos and the characteristic polynomial of the CUE: the L¹-phase
classification
🧮 math.PR
math-phmath.MP
keywords
chaoscharacteristicmatrixmeasuremultiplicativephasepolynomialprove
read the original abstract
In this note we prove that suitable positive powers of the absolute value of the characteristic polynomial of a Haar distributed random unitary matrix converge in law, as the size of the matrix tends to infinity, to a Gaussian multiplicative chaos measure once correctly normalized. We prove this in the whole $L^1$- or subcritical phase of the chaos measure.
This paper has not been read by Pith yet.
Forward citations
Cited by 1 Pith paper
-
Black Holes and Random Variables
Formulates an avatar of the Fyodorov-Hiary-Keating conjecture for black hole microstate counts, implying sharp bounds on CFT primary operator interval counts and suggesting that AdS spectra exhibit extreme value stati...
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.