English

Algebraic Problems Equivalent to Beating Exponent 3/2 for Polynomial Factorization over Finite Fields

Computational Complexity 2016-06-16 v1 Data Structures and Algorithms Symbolic Computation

Abstract

The fastest known algorithm for factoring univariate polynomials over finite fields is the Kedlaya-Umans (fast modular composition) implementation of the Kaltofen-Shoup algorithm. It is randomized and takes O~(n3/2logq+nlog2q)\widetilde{O}(n^{3/2}\log q + n \log^2 q) time to factor polynomials of degree nn over the finite field Fq\mathbb{F}_q with qq elements. A significant open problem is if the 3/23/2 exponent can be improved. We study a collection of algebraic problems and establish a web of reductions between them. A consequence is that an algorithm for any one of these problems with exponent better than 3/23/2 would yield an algorithm for polynomial factorization with exponent better than 3/23/2.

Keywords

Cite

@article{arxiv.1606.04592,
  title  = {Algebraic Problems Equivalent to Beating Exponent 3/2 for Polynomial Factorization over Finite Fields},
  author = {Zeyu Guo and Anand Kumar Narayanan and Chris Umans},
  journal= {arXiv preprint arXiv:1606.04592},
  year   = {2016}
}
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