Uncertainty Principles for the Number Theoretic Transform

Abstract

Motivated by polynomial identity testing with exponentials (Li and Wu, ITCS'26), we study uncertainty principles for the number-theoretic transform (NTT). We show that the NTT satisfies strong sparsity tradeoffs: For every fixed prime q and for all but finitely many primes p 1 q every nonzero f∈ Fp Zq and its number-theoretic transform f satisfy \[ |Supp(f)| + |Supp( f)| q+1. \] Thus, a k-sparse function has transform support at least q-k+1. As our main technical contribution, we prove a probabilistic version of the above uncertainty principle, averaged over primes p, in the regime p=qO(1). As an application, we obtain a black-box identity test for k-sparse exponential polynomials of degree at most d with vanishing soundness error, for q moderately larger than k.

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