Radziwiłł's large-deviation conjecture for Selberg's central limit theorem

From papers

Let τ\tau be uniformly distributed on [T,2T][T,2T], and set

σT2=12loglogT.\sigma_T^2=\frac{1}{2}\log\log T.

For k>0k>0, consider the regime Vk2loglogTV\sim k\sqrt{2\log\log T}. Radziwiłł's conjecture. In this regime,

P(logζ(1/2+iτ)>σTV)CkVex2/22πdx.\mathbf{P}\Big(\log |\zeta(1/2+{\rm i}\tau)|>\sigma_TV\Big)\sim C_k\int_V^\infty\frac{e^{-x^2/2}}{\sqrt{2\pi}}\,{\rm d}x.

This predicts that the constants from the moment conjecture correct the Gaussian tail in Selberg's central limit theorem at deviations of the order of the variance. The statement is supported by the moment conjecture and by the paper's numerical and theoretical evidence, but remains unproved in general.

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Sources & referencesView supporting material

Primary source

Eli Amzallag, Louis-Pierre Arguin, Emma Bailey, Kelvin Hui and Rajesh Rao, “Evidence of Random Matrix Corrections for the Large Deviations of Selberg's Central Limit Theorem”, arXiv:2104.07403 (2021).

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