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Complexity of some arithmetic problems for binary polynomials
Authors:Eric Allender  Anna Bernasconi  Carsten Damm  Joachim von zur Gathen  Michael Saks  Igor Shparlinski
Affiliation:(1) Department of Computer Science, Rutgers University, Piscataway, NJ 08854-8019, USA;(2) Dipartimento di Informatica, Università di Pisa, 56127 Pisa, Italy;(3) Institut für Numerische und Angewandte Mathematik, Universität Göttingen, 37083 Göttingen, Germany;(4) Fakultät für Elektrotechnik, Informatik und Mathematik, Universität Paderborn, 33095 Paderborn, Germany;(5) Mathematics Department, Rutgers University, Piscataway, NJ 08854-8019, USA;(6) Department of Computing, Macquarie University, NSW, 2109, Australia
Abstract:We study various combinatorial complexity measures of Boolean functions related to some natural arithmetic problems about binary polynomials, that is, polynomials over $$ \mathbb{F}_2 $$ . In particular, we consider the Boolean function deciding whether a given polynomial over $$ \mathbb{F}_2 $$ is squarefree. We obtain an exponential lower bound on the size of a decision tree for this function, and derive an asymptotic formula, having a linear main term, for its average sensitivity. This allows us to estimate other complexity characteristics such as the formula size, the average decision tree depth and the degrees of exact and approximative polynomial representations of this function. Finally, using a different method, we show that testing squarefreeness and irreducibility of polynomials over $$ \mathbb{F}_2 $$ cannot be done in $$ \textrm{AC}^0p] $$ for any odd prime p. Similar results are obtained for deciding coprimality of two polynomials over $$ \mathbb{F}_2 $$ as well.
Keywords:((no ))
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