Algorithms for Testing Monomials in Multivariate Polynomials
Zhixiang Chen, Bin Fu, Yang Liu, Robert Schweller

TL;DR
This paper develops algorithms for testing specific monomials in multivariate polynomials represented by arithmetic circuits, providing both randomized and deterministic methods with varying complexity, and explores the computational hardness of certain cases.
Contribution
It introduces new randomized and deterministic algorithms for monomial testing in multivariate polynomials, extending previous work and analyzing computational hardness.
Findings
Randomized $O^*(p^k)$ time algorithm for p-monomials.
Deterministic $O^*(6.4^k + p^k)$ time algorithm for p-monomials in formulas.
Deterministic $O^*(2^k)$ time algorithm for multilinear monomials.
Abstract
This paper is our second step towards developing a theory of testing monomials in multivariate polynomials. The central question is to ask whether a polynomial represented by an arithmetic circuit has some types of monomials in its sum-product expansion. The complexity aspects of this problem and its variants have been investigated in our first paper by Chen and Fu (2010), laying a foundation for further study. In this paper, we present two pairs of algorithms. First, we prove that there is a randomized time algorithm for testing -monomials in an -variate polynomial of degree represented by an arithmetic circuit, while a deterministic time algorithm is devised when the circuit is a formula, here is a given prime number. Second, we present a deterministic time algorithm for testing multilinear monomials in $\Pi_m\Sigma_2\Pi_t\times…
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Taxonomy
TopicsPolynomial and algebraic computation · semigroups and automata theory · Complexity and Algorithms in Graphs
