Untitled

We show that if a -CNF requires width to refute in resolution, then it requires space to refute in polynomial calculus, where the space of a polynomial calculus refutation is the number of monomials that must be kept in memory when working through the proof.This is the first analogue, in polynomial calculus, of Atserias and Dalmau's result that, in resolution, width is a lower bound on clause space.As a by-product of our new approach to space lower bounds we give a simple proof of Bonacina's recent result that total space in resolution (the total number of variable occurrences that must be kept in memory) is at least the width squared.As corollaries of the main result we obtain some new lower bounds on the PCR space needed to refute specific formulas, as well as partial answers to some open problems about relations between space, size, and degree for polynomial calculus.

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Publication Details

Journal
Theory of Computing
Published
2025-01-01
DOI
https://doi.org/10.4086/toc.2025.v021a006
Primary Topic
Polynomial and algebraic computation
Type
article
Field-Weighted Citation Impact
0.00

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Untitled

Neil Thapen, Leszek Aleksander Kołodziejczyk, Nicola Galesi
Theory of Computing
Polynomial and algebraic computation
article

Untitled

Neil Thapen, Leszek Aleksander Kołodziejczyk, Nicola Galesi
article en

Abstract

We show that if a -CNF requires width to refute in resolution, then it requires space to refute in polynomial calculus, where the space of a polynomial calculus refutation is the number of monomials that must be kept in memory when working through the proof.This is the first analogue, in polynomial calculus, of Atserias and Dalmau's result that, in resolution, width is a lower bound on clause space.As a by-product of our new approach to space lower bounds we give a simple proof of Bonacina's recent result that total space in resolution (the total number of variable occurrences that must be kept in memory) is at least the width squared.As corollaries of the main result we obtain some new lower bounds on the PCR space needed to refute specific formulas, as well as partial answers to some open problems about relations between space, size, and degree for polynomial calculus.

Theory of ComputingVol. 21(1)
Grantová Agentura České Republiky, Ministero dell’Istruzione, dell’Università e della Ricerca, Akademie Věd České Republiky, Narodowym Centrum Nauki
Openalex Percentile: Top 74%
Polynomial and algebraic computation
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Untitled — Neil Thapen, Leszek Aleksander Kołodziejczyk, et al. · Theory of Computing (2025) | TGRS Research Map | TGRS