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On an uncertainty result by Donoho and Stark

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arxiv 2307.04558 v1 pith:4RDTNUSN submitted 2023-07-10 math.FA math.CA

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keywords resulttheyconcentrationdonohofunctioninequalityproblemprove
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abstract

In the work of Donoho and Stark, they study a manifestation of the uncertainty principle in signal recovery. They conjecture that, for a function with support of bounded size T, the maximum concentration of its Fourier transform in the low frequencies [-W/2,W/2] is achieved when the support of the function is an interval. They are able to prove a positive result under the extra assumption that WT $\leq$ 0.8, using an inequality with symmetric rearrangements. In our work, we present a more elementary proof of their result, while also relaxing the required bound to WT $\leq$ 1. Finally, we also study a discrete version of the problem, by considering complex polynomials and their concentration on subsets of the unit circle, and we prove an analogous problem. Lastly, this result is used to improve an inequality by Montgomery.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Optimal concentration in the Paley-Wiener space

    math.CA 2026-07 conditional novelty 8.0 of 10

    Intervals maximize the L²-concentration of band-limited functions: for every measurable set E, the maximal Paley–Wiener mass on E is no greater than on an interval with |I| = |E|, settling the Donoho–Stark conjecture.

  2. On the existence of extremizers for the sum of eigenvalues of Toeplitz operators

    math.FA 2026-07 conditional novelty 7.0 of 10

    For every k and every prescribed measure, the supremum of the sum of the first k Toeplitz eigenvalues is attained, in the Fock space and in a general wavelet setting.

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