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Multiplicative chaos and the characteristic polynomial of the CUE: the $L^1$-phase

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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.

fields

hep-th 1

years

2026 1

verdicts

UNVERDICTED 1

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Black Holes and Random Variables

hep-th · 2026-07-02 · unverdicted · novelty 6.0

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 statistics of Gaussian log-correlated random matrices.

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  • Black Holes and Random Variables hep-th · 2026-07-02 · unverdicted · none · ref 43 · internal anchor

    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 statistics of Gaussian log-correlated random matrices.