Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/15393
Title: Polynomial Calculus Sizes Over the Boolean and Fourier Bases are Incomparable
Authors: Mouli, Sasank
Keywords: Fourier basis;Polynomial Calculus;Proof complexity
Issue Date: 2024
Publisher: IEEE Computer Society
Citation: Mouli, S. (2024). Polynomial Calculus Sizes Over the Boolean and Fourier Bases are Incomparable. Proceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS. Scopus. https://doi.org/10.1109/FOCS61266.2024.00055
Abstract: For every n > 0, we show the existence of a CNF tautology over O(n2) variables of width O(log n) such that it has a Polynomial Calculus Resolution refutation over 0,1 variables of size O(n3 polylog} (n)) but any Polynomial Calculus refutation over {+1, -1} variables requires size 2Ω(n). This shows that Polynomial Calculus sizes over the {0, 1} and +1, -1 bases are incomparable (since Tseitin tautologies show a separation in the other direction) and answers an open problem posed by Sokolov [1] and Razborov [2]. © 2024 IEEE.
URI: https://doi.org/10.1109/FOCS61266.2024.00055
https://dspace.iiti.ac.in/handle/123456789/15393
ISBN: 979-833151674-1
ISSN: 0272-5428
Type of Material: Conference Paper
Appears in Collections:Department of Computer Science and Engineering

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