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arxiv: 1304.0677 · v1 · pith:VGP6OTUMnew · submitted 2013-04-02 · 🧮 math.NT · math.PR

A note on the maximum of the Riemann zeta function, and log-correlated random variables

classification 🧮 math.NT math.PR
keywords randomzetaproblemfunctionfyodorovkeatingmatrixmaximum
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In recent work, Fyodorov and Keating conjectured the maximum size of $|\zeta(1/2+it)|$ in a typical interval of length O(1) on the critical line. They did this by modelling the zeta function by the characteristic polynomial of a random matrix; relating the random matrix problem to another problem from statistical mechanics; and applying a heuristic analysis of that problem. In this note we recover a conjecture like that of Fyodorov and Keating, but using a different model for $|\zeta(1/2+it)|$ in terms of a random Euler product. In this case the probabilistic model reduces to studying the supremum of Gaussian random variables with logarithmic correlations, and can be analysed rigorously.

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  1. High points of a random model of the Riemann-zeta function and Gaussian multiplicative chaos

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    In a random model of the Riemann zeta function, the normalized total mass of high points a linear order below the maximum converges almost surely to Gaussian multiplicative chaos of an approximating process times a ra...