Deterministic Factorization of Sparse Polynomials with Bounded Individual Degree

Author:

Bhargava Vishwas1,Saraf Shubhangi1,Volkovich Ilya2

Affiliation:

1. Rutgers University, Piscataway, New Jersey, USA

2. University of Michigan, Ann Arbor, Michigan, USA

Abstract

In this article, we study the problem of deterministic factorization of sparse polynomials. We show that if f ∈ F[ x 1 , x 2 ,… , x n ] is a polynomial with s monomials, with individual degrees of its variables bounded by d , then f can be deterministically factored in time s poly( d )log n . Prior to our work, the only efficient factoring algorithms known for this class of polynomials were randomized, and other than for the cases of d =1 and d =2, 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 that if f is an s -sparse polynomial in n variables, with individual degrees of its variables bounded by d , then the sparsity of each factor of f is bounded by s (9 d 2 log n ) . This is the first non-trivial bound on factor sparsity for d > 2. Our sparsity bound uses techniques from convex geometry, such as the theory of Newton polytopes and an approximate version of the classical Carathéodory’s Theorem. Our work addresses and partially answers a question of von zur Gathen and Kaltofen [1985] who asked whether a quasi-polynomial bound holds for the sparsity of factors of sparse polynomials.

Funder

Simons Collaboration on Algorithms and Geometry

Sloan research fellowship

NSF

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Hardware and Architecture,Information Systems,Control and Systems Engineering,Software

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Learning the Coefficients: A Presentable Version of Border Complexity and Applications to Circuit Factoring;Proceedings of the 56th Annual ACM Symposium on Theory of Computing;2024-06-10

2. New Sparse Multivariate Polynomial Factorization Algorithms over Integers;Proceedings of the 2023 International Symposium on Symbolic and Algebraic Computation;2023-07-24

3. Discovering the Roots: Uniform Closure Results for Algebraic Classes Under Factoring;Journal of the ACM;2022-06-11

4. Ideals, determinants, and straightening: proving and using lower bounds for polynomial ideals;Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing;2022-06-09

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