Relationless completeness and separations

Pavel Hrubeš*, Avi Wigderson, Amir Yehudayoff

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Scopus citations

Abstract

This paper extends Valiant's work on VP and VNP to the settings in which variables are not multiplicatively commutative and/or associative. Our main result is a theory of completeness for these algebraic worlds. We define analogs of Valiant's classes VP and VNP, as well as of the polynomials permanent and determinant, in these worlds. We then prove that even in a completely relationless world which assumes no commutativity nor associativity, permanent remains VNP-complete, and determinant can polynomially simulate any arithmetic formula, just as in the standard commutative, associative world of Valiant. In the absence of associativity, the completeness proof gives rise to the following combinatorial problem: what is the smallest binary tree which contains as minors all binary trees with n leaves. We give an explicit construction of such a universal tree of polynomial size, a result of possibly independent interest. Given that such non-trivial reductions are possible even without commutativity and associativity, we turn to lower bounds. In the non-associative, commutative world we prove exponential circuit lower bounds on explicit polynomials, separating the non-associative commutative analogs of VP and VNP. Obtaining such lower bounds and a separation in the complementary associative, non-commutative world has been open for about 30 years.

Original languageEnglish
Title of host publicationProceedings - 25th Annual IEEE Conference on Computational Complexity, CCC 2010
Pages280-290
Number of pages11
DOIs
StatePublished - 2010
Externally publishedYes
Event25th Annual IEEE Conference on Computational Complexity, CCC 2010 - Cambridge, MA, United States
Duration: 9 Jun 201011 Jun 2010

Publication series

NameProceedings of the Annual IEEE Conference on Computational Complexity
ISSN (Print)1093-0159

Conference

Conference25th Annual IEEE Conference on Computational Complexity, CCC 2010
Country/TerritoryUnited States
CityCambridge, MA
Period9/06/1011/06/10

Keywords

  • Algebraic complexity
  • Completeness
  • Separations

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