The sine-process maximum-growth conjecture at zero shift

Let XX be a configuration sampled from the sine process, let GX+iAG_{X+iA} be the associated random entire function, and define

MA(T)=maxt:t<TlogGX+iA(t+iA).M_A(T)=\max_{t:|t|<T}\log\lvert G_{X+iA}(t+iA)\rvert.

For A>0A>0, the known asymptotic is

lim supTMA(T)logT=2.\limsup_{T\to\infty}\frac{M_A(T)}{\log T}=\sqrt{2}.

The sine-process maximum-growth conjecture at zero shift. The same asymptotic formula holds for A=0A=0:

lim supTmaxt:t<TlogGX(t)logT=2.\limsup_{T\to\infty}\frac{\max_{t:|t|<T}\log\lvert G_X(t)\rvert}{\log T}=\sqrt{2}.

The supplied text states the formula for positive shifts and leaves the zero-shift case as an interesting direction.

Sources & referencesView supporting material

Primary source

Alexander I. Bufetov, “The sine-process has excess one”, arXiv:1912.13454 (2019).

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