Skip to main navigation Skip to search Skip to main content

Lower Bounds in Algebraic Complexity via Symmetry and Homomorphism Polynomials

  • University of Cambridge

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

Abstract

Valiant's conjecture from 1979 asserts that the circuit complexity classes VP and VNP are distinct, meaning that the permanent does not admit polynomial-size algebraic circuits. As it is the case in many branches of complexity theory, the unconditional separation of these complexity classes seems elusive. In stark contrast, the symmetric analogue of Valiant's conjecture has been proven by Dawar and Wilsenach (ICALP 2020): the permanent does not admit symmetric algebraic circuits of polynomial size, while the determinant does. Symmetric algebraic circuits are both a powerful computational model and amenable to proving unconditional lower bounds.

In this paper, we develop a symmetric algebraic complexity theory by introducing symmetric analogues of the complexity classes VP, VBP, and VF called symVP, symVS, and symVF. They comprise polynomials that admit symmetric algebraic circuits, skew circuits, and formulas, respectively, of polynomial orbit size. Having defined these classes, we show unconditionally that symVF ⊊ symVS ⊊ symVP.
To that end, we characterise the polynomials in symVF and symVS as those that can be written as linear combinations of homomorphism polynomials for patterns of bounded treedepth and pathwidth, respectively. This extends a previous characterisation by Dawar, Pago, and Seppelt (ITCS 2026) of symVP. The separation follows via model-theoretic techniques and the theory of homomorphism indistinguishability.

Although symVS and symVP admit strong lower bounds, we are able to show that these complexity classes are rather powerful: They contain homomorphism polynomials which are VBP- and VP-complete, respectively. Vastly generalising previous results, we give general graph-theoretic criteria for homomorphism polynomials and their linear combinations to be VBP-, VP-, or VNP-complete. These conditional lower bounds drastically enlarge the realm of natural polynomials known to be complete for VNP, VP, or VBP. Under the assumption VFPT ≠ VW, we precisely identify the homomorphism polynomials that lie in VP as those whose patterns have bounded treewidth and thereby resolve an open problem posed by Saurabh (2016).
Original languageEnglish
Title of host publicationSTOC '26: Proceedings of the 58th Annual ACM Symposium on Theory of Computing
Number of pages10
PublisherAssociation for Computing Machinery
Publication date9 Jun 2026
Pages631-640
ISBN (Print)9798400725364
ISBN (Electronic) 979-8-4007-2536-4
DOIs
Publication statusPublished - 9 Jun 2026
EventSTOC '26: 58th Annual ACM Symposium on Theory of Computing - Hilton Salt Lake City Center, Salt Lake City, United States
Duration: 22 Jun 202627 Jun 2026
Conference number: 58
https://acm-stoc.org/stoc2026/

Conference

ConferenceSTOC '26: 58th Annual ACM Symposium on Theory of Computing
Number58
LocationHilton Salt Lake City Center
Country/TerritoryUnited States
CitySalt Lake City
Period22/06/202627/06/2026
Internet address
SeriesProceedings of the Annual ACM Symposium on Theory of Computing

Keywords

  • Algebraic complexity
  • Symmetric circuit
  • Homomorphism polynomial
  • Graph homomorphism
  • Complexity monotonicity

Fingerprint

Dive into the research topics of 'Lower Bounds in Algebraic Complexity via Symmetry and Homomorphism Polynomials'. Together they form a unique fingerprint.

Cite this