Work

Recovering Dirichlet coefficients from even samples

Year: 2026
Type: preprint
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.
Language: English
Open Access status: green
OpenAlex ID: W7222994700
Cites: 4
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Related to: 10