English

Optimal PRGs for Low-Degree Polynomials over Polynomial-Size Fields

Computational Complexity 2026-02-11 v1

Abstract

Pseudorandom generators (PRGs) for low-degree polynomials are a central object in pseudorandomness, with applications to circuit lower bounds and derandomization. Viola's celebrated construction gives a PRG over the binary field, but with seed length exponential in the degree dd. This exponential dependence can be avoided over sufficiently large fields. In particular, Dwivedi, Guo, and Volk constructed PRGs with optimal seed length over fields of size exponential in dd. The latter builds on the framework of Derksen and Viola, who obtained optimal-seed constructions over fields of size polynomial in dd, although growing with the number of variables nn. In this work, we construct the first PRG with optimal seed length for degree-dd polynomials over fields of polynomial size, specifically qd4q \approx d^4, assuming sufficiently large characteristic. Our construction follows the framework of prior work and reduces the required field size by replacing the hitting-set generator used in previous constructions with a new pseudorandom object. We also observe a threshold phenomenon in the field-size dependence. Specifically, we prove that constructing PRGs over fields of sublinear size, for example q=d0.99q = d^{0.99} where qq is a power of two, would already yield PRGs for the binary field with comparable seed length via our reduction, provided that the construction imposes no restriction on the characteristic. While a breakdown of existing techniques has been noted before, we prove that this phenomenon is inherent to the problem itself, irrespective of the technique used.

Keywords

Cite

@article{arxiv.2602.10030,
  title  = {Optimal PRGs for Low-Degree Polynomials over Polynomial-Size Fields},
  author = {Gil Cohen and Dean Doron and Noam Goldgraber},
  journal= {arXiv preprint arXiv:2602.10030},
  year   = {2026}
}

Comments

arXiv admin note: text overlap with arXiv:2402.11915 by other authors

R2 v1 2026-07-01T10:30:07.474Z