Projects per year
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).
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 language | English |
|---|---|
| Title of host publication | STOC '26: Proceedings of the 58th Annual ACM Symposium on Theory of Computing |
| Number of pages | 10 |
| Publisher | Association for Computing Machinery |
| Publication date | 9 Jun 2026 |
| Pages | 631-640 |
| ISBN (Print) | 9798400725364 |
| ISBN (Electronic) | 979-8-4007-2536-4 |
| DOIs | |
| Publication status | Published - 9 Jun 2026 |
| Event | STOC '26: 58th Annual ACM Symposium on Theory of Computing - Hilton Salt Lake City Center, Salt Lake City, United States Duration: 22 Jun 2026 → 27 Jun 2026 Conference number: 58 https://acm-stoc.org/stoc2026/ |
Conference
| Conference | STOC '26: 58th Annual ACM Symposium on Theory of Computing |
|---|---|
| Number | 58 |
| Location | Hilton Salt Lake City Center |
| Country/Territory | United States |
| City | Salt Lake City |
| Period | 22/06/2026 → 27/06/2026 |
| Internet address |
| Series | Proceedings 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.Projects
- 3 Active
-
BARC2 : Basic Algorithms Research Copenhagen
Husfeldt, T. (PI), Limaye, N. (CoI), Björklund, A. (CoI), Lebeda, C. J. (CoI) & Hansen, M. R. D. (CoI)
01/01/2024 → 31/12/2029
Project: Research
-
FLows: Formula complexity of polynomials and lower bounds
Limaye, N. (PI), Dwivedi, P. (CoI) & Blanc, M. B. (Collaborator)
Independent Research Fund Denmark
01/01/2024 → 31/12/2026
Project: Research
-
CountHom: Counting (with) homomorphisms
Curticapean, R.-C. (PI) & Seppelt, T. F. (Collaborator)
01/04/2023 → 31/03/2028
Project: Research
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver