2017
DOI: 10.1016/j.jat.2017.01.002
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Two universality results for polynomial reproducing kernels

Abstract: Abstract. We prove two new universality results for polynomial reproducing kernels of compactly supported measures. The first applies to measures on the unit circle with a jump and a singularity in the weight at 1 and the second applies to area-type measures on a certain disconnected polynomial lemniscate. In both cases, we apply methods developed by Lubinsky to obtain our results.

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Cited by 4 publications
(7 citation statements)
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References 36 publications
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“…The proof of Lemma 4.5 is very much analogous to the proof of [23,Lemma 2.8], so we will not present the details here. It is based on Christoffel functions and relies heavily on ideas from the proof of [18,Theorem 7]. )…”
Section: Theorem 44 ([2]mentioning
confidence: 99%
“…The proof of Lemma 4.5 is very much analogous to the proof of [23,Lemma 2.8], so we will not present the details here. It is based on Christoffel functions and relies heavily on ideas from the proof of [18,Theorem 7]. )…”
Section: Theorem 44 ([2]mentioning
confidence: 99%
“…The key remaining part of the proof of Theorem 3.1 is to show that lim n→∞ K n (e i(θ−aσn) , e i(θ−aσn) ; µ) K n (e i(θ−aσn) , e i(θ−aσn) ; µ * ) = w(θ) and the convergence is uniform for a in compact subsets of C. Proving this is where we use the fact that the measure µ * is regular and involves interpreting the diagonal reproducing kernel in terms of Christoffel functions and a localization argument. The details appear in many places, such as [10,14,23], so we omit the lengthy calculations. Due to the possible presence of mass points in the gaps of supp(µ ac ), we mention that the Erdős-Turán criterion (see [31, page 101]) and [27,Theorem 11.3.2] imply that not only is µ * regular, but so is its restriction to supp(µ ac ).…”
Section: 22mentioning
confidence: 99%
“…With these tools in hand, one will have no trouble adapting the method used in [10,12,23,24] to complete the proof of Theorem 3.1.…”
Section: 22mentioning
confidence: 99%
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