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arXiv · 2610.24174

Recovering Dirichlet coefficients from even samples

Payam Danesh
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Abstract

In this work, we determine the exact case error for recovering a Dirichlet coefficient from finitely many positive even samples with bounded additive errors. For sequences with a bounded tail and an unrestricted initial block, a polynomial estimator is minimax among all recovery maps. Its tail and noise constants admit explicit product formulas. We prove a sharp tail asymptotic on the index scale K^(3/2) and give a terminating procedure for selecting the sample count from a computable error bound.

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Payam Danesh. 2026-10-16. Recovering Dirichlet coefficients from even samples. https://arxiv.org/abs/2610.24174

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