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

June 14, 2016 ยท The Ethereal ยท ๐Ÿ› International Symposium on Mathematical Foundations of Computer Science

๐Ÿ”ฎ THE ETHEREAL: The Ethereal
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Authors Zeyu Guo, Anand Kumar Narayanan, Chris Umans arXiv ID 1606.04592 Category cs.CC: Computational Complexity Cross-listed cs.DS, cs.SC Citations 5 Venue International Symposium on Mathematical Foundations of Computer Science Last Checked 6 months ago
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 $\widetilde{O}(n^{3/2}\log q + n \log^2 q)$ time to factor polynomials of degree $n$ over the finite field $\mathbb{F}_q$ with $q$ elements. A significant open problem is if the $3/2$ 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 $3/2$ would yield an algorithm for polynomial factorization with exponent better than $3/2$.
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