Freezing Transitions and Extreme Values: Random Matrix Theory, $\zeta (1/2+it)$, and Disordered Landscapes

Abstract

We argue that the freezing transition scenario, previously conjectured to occur in the statistical mechanics of 1/f-noise random energy models, governs, after reinterpretation, the value distribution of the maximum of the modulus of the characteristic polynomials p_N(θ) of large N\times N random unitary (CUE) matrices; i.e. the extreme value statistics of p_N(θ) when N \rightarrow\infty. In addition, we argue that it leads to multifractal-like behaviour in the total length μ_N(x) of the intervals in which |p_N(θ)|>N^x, x>0, in the same limit. We speculate that our results extend to the large values taken by the Riemann zeta-function ζ(s) over stretches of the critical line s=1/2+it of given constant length, and present the results of numerical computations of the large values of ζ(1/2+it). Our main purpose is to draw attention to the unexpected connections between these different extreme value problems.

The published version

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