Determinants from Homomorphisms

Author Radu Curticapean



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Author Details

Radu Curticapean
  • IT University of Copenhagen, Denmark
  • Basic Algorithms Research Copenhagen, Denmark

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Radu Curticapean. Determinants from Homomorphisms. In 30th Annual European Symposium on Algorithms (ESA 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 244, pp. 38:1-38:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022) https://doi.org/10.4230/LIPIcs.ESA.2022.38

Abstract

We give a new combinatorial explanation for well-known relations between determinants and traces of matrix powers. Such relations can be used to obtain polynomial-time and poly-logarithmic space algorithms for the determinant. Our new explanation avoids linear-algebraic arguments and instead exploits a classical connection between subgraph and homomorphism counts.

Subject Classification

ACM Subject Classification
  • Computing methodologies → Linear algebra algorithms
  • Mathematics of computing → Combinatorics
  • Mathematics of computing → Graph theory
  • Theory of computation → Parallel algorithms
Keywords
  • determinant
  • homomorphisms
  • matrix trace
  • Newton identities

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References

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  3. Radu Curticapean, Holger Dell, and Dániel Marx. Homomorphisms are a good basis for counting small subgraphs. In Hamed Hatami, Pierre McKenzie, and Valerie King, editors, Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing, STOC 2017., pages 210-223. ACM, 2017. URL: https://doi.org/10.1145/3055399.3055502.
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