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Lower Bounds in Algebraic Complexity via Symmetry and Homomorphism Polynomials

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 631-640 (10 pages)

Publication milestones

  • Published - 09/06/2026

Publication status

Published - 09/06/2026

Publisher

Association for Computing Machinery, United States

Book series

  • Book series name: Proceedings of the Annual ACM Symposium on Theory of Computing
9798400725364

ISBN (Electronic)

979-8-4007-2536-4

Publication IDs

  • ORCID: /0000-0002-6447-0568/work/217215927
  • Scopus: 105042655070

Host publication title

STOC '26: Proceedings of the 58th Annual ACM Symposium on Theory of Computing

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).

Publication metrics

Funding Details

Prateek Dwivedi thanks the Independent Research Fund Den-mark (grant agreement No. 10.46540/3103-00116B (https://doi.org/10.46540/3103-00116B)) and the support of Basic Algorithms Re-search Copenhagen (BARC), funded by VILLUM Foundation Grant54451. Benedikt Pago received funding from UK Research and Innova-tion (UKRI) under the UK government’s Horizon Europe funding guarantee: grant number EP/X028259/1.Tim Seppelt is funded by the European Union (Count Hom, No.101077083 (https://doi.org/10.3030/101077083)). Views and opin-ions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them
FundersFunding numbers
Independent Research Fund Denmark
10.46540/3103-00116B
Villum Foundation
54451
UKRI - UK Research and Innovation
-
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EP/X028259/1, 101077083

Related Event

Title

Annual ACM Symposium on Theory of Computing

Event type

Conference

Degree of recognition

International event

Date

22/06/2026 - 27/06/2026

Location

Hilton Salt Lake City CenterSalt Lake CityUnited States