Скачать или смотреть Deterministic subexponential-time factorization algorithm for constant-depth circuits

Instructor : Varun Ramanathan
Affiliation : TIFR
Abstract : While efficient randomized algorithms for factorization of polynomials given by algebraic circuits have been known for decades, obtaining an even slightly non-trivial deterministic algorithm for this problem has remained an open question of great interest. This is true even when the input algebraic circuit has additional structure, for instance, when it is a constant-depth circuit. Indeed, no efficient deterministic algorithms are known even for the seemingly easier problem of factoring sparse polynomials or even the problem of testing the irreducibility of sparse polynomials. In this work, we make progress on these questions: we design a deterministic algorithm that runs in subexponential time, and when given as input a constant-depth algebraic circuit C over the field of rational numbers, it outputs algebraic circuits (of potentially unbounded depth) for all the irreducible factors of C, together with their multiplicities. In particular, we give the first subexponential time deterministic algorithm for factoring sparse polynomials. In a follow-up work, we show that algebraic formulas and constant-depth circuits are \emph{closed} under taking factors. In other words, we show that if a multivariate polynomial over a field of characteristic zero has a small constant-depth circuit or formula, then all its factors can be computed by small constant-depth circuits or formulas respectively. As a consequence, we get a (significantly) simpler proof of correctness as well as stronger guarantees on the output in the subexponential time deterministic algorithm for factorization of constant-depth circuits