On the size of the polynomials orthonormal on the unit circle with respect to a measure which is a sum of the Lebesgue measure and \(P\) point masses (Q2790179)

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scientific article; zbMATH DE number 6549106
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On the size of the polynomials orthonormal on the unit circle with respect to a measure which is a sum of the Lebesgue measure and \(P\) point masses
scientific article; zbMATH DE number 6549106

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    3 March 2016
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    orthogonal polynomials
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    variational problem
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    exponential polynomials
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    On the size of the polynomials orthonormal on the unit circle with respect to a measure which is a sum of the Lebesgue measure and \(P\) point masses (English)
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    The following variational problem from the theory of orthogonal polynomials on the unit circle is considered in the present paper.NEWLINENEWLINEGiven two positive integers \(n\) and \(p<n/2\), and \(\delta\in (0,1)\), define a class of probability measures on the unit circle \(\mathbb{T}\) NEWLINE\[NEWLINE P_{\delta, p}:= \bigl\{\sigma=\delta \mu(dt)+\sum_{j=1}^p m_j\delta(t_j)\bigr\}, NEWLINE\]NEWLINE where \(\mu\) is the normalized Lebesgue measure on \(\mathbb{T}\), \(m_j>0\), \(\{t_j\}\) are different points on \(\mathbb{T}\), and \(\delta(t)\) is the Dirac measure at the point \(t\in\mathbb{T}\). The problem is to find NEWLINE\[NEWLINE M_{n,p,\delta}:=\max_{\sigma\in P_{\delta,p}} \|\varphi_n(\cdot,\sigma)\|_\infty, NEWLINE\]NEWLINE where \(\varphi_n(\cdot,\sigma)\) is the \(n\)-th orthonormal polynomial for the measure \(\sigma\), and \(\|\cdot\|_\infty\) is the uniform norm on the unit circle. The main result claims that for every \(k>1.5\) NEWLINE\[NEWLINE M_{n,p,\delta}\leq C(\delta,k)\,\min(\log^k(n/p)\sqrt{p}, p). NEWLINE\]
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