Minkowski's orthogonal-polynomial zero convergence conjecture

Let μ\mu be Minkowski's measure, and let ζlj\zeta_l^j, l=1,,jl=1,\ldots,j, be the zeros of its degree-jj orthogonal polynomial. Let θlj\theta_l^j be the zeros of the degree-jj Chebyshev polynomial on [0,1][0,1], given by

θlj=12[1cos(2l12jπ)],l=1,,j.\theta_l^j=\frac12\left[1-\cos\left(\frac{2l-1}{2j}\pi\right)\right],\qquad l=1,\ldots,j.

Minkowski's orthogonal-polynomial zero convergence conjecture. As jj tends to infinity, the zeros ζlj\zeta_l^j converge uniformly to the zeros θlj\theta_l^j; moreover, there exist positive constants A,BA,B such that

Uj=max1ljθljζljAjB.U_j=\max_{1\leq l\leq j}|\theta_l^j-\zeta_l^j|\leq A j^{-B}.

The claim would imply convergence of the zero distributions to the equilibrium measure on [0,1][0,1] and hence support regularity. The source gives numerical support but no proof.

Sources & referencesView supporting material

Primary source

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

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