TL;DR
This paper presents a deterministic algorithm for factoring sparse polynomials with bounded individual degrees, achieving quasi-polynomial time complexity, and introduces new bounds on the sparsity of polynomial factors.
Contribution
It provides the first deterministic quasi-polynomial time algorithm for factoring sparse polynomials with bounded individual degrees and establishes new bounds on factor sparsity.
Findings
Deterministic factorization algorithm runs in s^{poly(d) log n} time.
Sparsity of factors is bounded by s^{O(d^2 log n)} for polynomials with bounded individual degrees.
First nontrivial sparsity bound for factors when degree bound d > 2.
Abstract
In this paper we study the problem of deterministic factorization of sparse polynomials. We show that if is a polynomial with monomials, with individual degrees of its variables bounded by , then can be deterministically factored in time . Prior to our work, the only efficient factoring algorithms known for this class of polynomials were randomized, and other than for the cases of and , only exponential time deterministic factoring algorithms were known. A crucial ingredient in our proof is a quasi-polynomial sparsity bound for factors of sparse polynomials of bounded individual degree. In particular we show if is an -sparse polynomial in variables, with individual degrees of its variables bounded by , then the sparsity of each factor of is bounded by…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
Deterministic Factorization of Sparse Polynomials with Bounded Individual Degree· youtube
