The smoothing-scale conjecture for zeta maxima

From papers

Let T>1T>1, let τ\tau be chosen uniformly from [T,2T][T,2T], and let 0<α<10<\alpha<1 with θ(loglogT)α\theta\sim(\log\log T)^{-\alpha}. Consider an interval of size

(logT)θ=exp((loglogT)1α).(\log T)^\theta=\exp\bigl((\log\log T)^{1-\alpha}\bigr).

The smoothing-scale conjecture. For some tight sequence of random variables (Mα(T),T>1)(\mathcal M_\alpha(T),T>1),

maxhexp((loglogT)1α)ζ(12+i(τ+h))=(logT)1+θ(loglogT)1+2α4eMα(T).\max_{|h|\leq\exp((\log\log T)^{1-\alpha})}\left|\zeta\left(\frac12+\mathrm{i}(\tau+h)\right)\right|=\frac{(\log T)^{\sqrt{1+\theta}}}{(\log\log T)^{\frac{1+2\alpha}{4}}}e^{\mathcal M_\alpha(T)}.

The conjecture proposes the scale at which the subleading-order transition between fixed positive θ\theta and θ=0\theta=0 becomes smooth. It is motivated by the random model studied in the paper and remains open.

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Sources & referencesView supporting material

Primary source

Louis-Pierre Arguin, Guillaume Dubach and Lisa Hartung, “Maxima of a Random Model of the Riemann Zeta Function over Intervals of Varying Length”, arXiv:2103.04817 (2022).

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