2020
DOI: 10.48550/arxiv.2005.12836
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Fourier interpolation and time-frequency localization

Abstract: We prove that under very mild conditions for any interpolation formulawe have a lower bound for the counting functions nwhich very closely matches interpolation formulas from [8], [3].

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“…This observation yields a precise notion of duality between the two sequences involved in a Fourier interpolation basis, closely aligned with modular relations as for example studied in some generality by Bochner [3]. Second, we discuss a recent density theorem of Kulikov [20], which is a version of the uncertainty principle valid for Fourier interpolation bases. We observe that there is a precise correspondence between Kulikov's density condition and the Riemann-von Mangoldt formula for the density of the nontrivial zeros of zeta and L-functions.…”
Section: Introductionmentioning
confidence: 60%
“…This observation yields a precise notion of duality between the two sequences involved in a Fourier interpolation basis, closely aligned with modular relations as for example studied in some generality by Bochner [3]. Second, we discuss a recent density theorem of Kulikov [20], which is a version of the uncertainty principle valid for Fourier interpolation bases. We observe that there is a precise correspondence between Kulikov's density condition and the Riemann-von Mangoldt formula for the density of the nontrivial zeros of zeta and L-functions.…”
Section: Introductionmentioning
confidence: 60%