Minkowski's zero-distribution discrepancy conjecture

Let μ\mu be Minkowski's measure. For each jj, let νj\nu_j be the normalized zero-counting measure of its degree-jj orthogonal polynomial, and let νE\nu_E be the equilibrium (Chebyshev) measure on [0,1][0,1]. Let D(νj,νE)D(\nu_j,\nu_E) denote their discrepancy.

Minkowski's zero-distribution discrepancy conjecture. As jj tends to infinity,

D(νj,νE)0.D(\nu_j,\nu_E)\longrightarrow 0.

Moreover, there exist positive constants A,BA,B such that

D(νj,νE)AjB.D(\nu_j,\nu_E)\leq A j^{-B}.

This gives a quantitative form of convergence of the zero distributions to equilibrium and therefore supports regularity of Minkowski's measure. The source reports numerical evidence, not a proof.

Sources & referencesView supporting material

Primary source

Giorgio Mantica, “Minkowski's Question Mark Measure”, arXiv:1603.05815 (2016).

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