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Complexity Measures on the Symmetric Group and Beyond (Extended Abstract)

Authors Neta Dafni, Yuval Filmus , Noam Lifshitz, Nathan Lindzey, Marc Vinyals

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Author Details

Neta Dafni
  • Department of Computer Science, Technion, Haifa, Israel
Yuval Filmus
  • Department of Computer Science, Technion, Haifa, Israel
Noam Lifshitz
  • Einstein Institute of Mathematics, Hebrew University of Jerusalem, Israel
Nathan Lindzey
  • Department of Computer Science, University of Colorado, Boulder, CO, USA
Marc Vinyals
  • Department of Computer Science, Technion, Haifa, Israel

Funding

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 802020-ERC-HARMONIC.

Acknowledgements

We thank Nitin Saurabh for many helpful discussions.

Cite AsGet BibTex

Neta Dafni, Yuval Filmus, Noam Lifshitz, Nathan Lindzey, and Marc Vinyals. Complexity Measures on the Symmetric Group and Beyond (Extended Abstract). In 12th Innovations in Theoretical Computer Science Conference (ITCS 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 185, pp. 87:1-87:5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)
https://doi.org/10.4230/LIPIcs.ITCS.2021.87

Abstract

We extend the definitions of complexity measures of functions to domains such as the symmetric group. The complexity measures we consider include degree, approximate degree, decision tree complexity, sensitivity, block sensitivity, and a few others. We show that these complexity measures are polynomially related for the symmetric group and for many other domains. To show that all measures but sensitivity are polynomially related, we generalize classical arguments of Nisan and others. To add sensitivity to the mix, we reduce to Huang’s sensitivity theorem using "pseudo-characters", which witness the degree of a function. Using similar ideas, we extend the characterization of Boolean degree 1 functions on the symmetric group due to Ellis, Friedgut and Pilpel to the perfect matching scheme. As another application of our ideas, we simplify the characterization of maximum-size t-intersecting families in the symmetric group and the perfect matching scheme.

Subject Classification

ACM Subject Classification
  • Theory of computation → Computational complexity and cryptography
  • Mathematics of computing → Discrete mathematics
Keywords
  • Computational Complexity Theory
  • Analysis of Boolean Functions
  • Complexity Measures
  • Extremal Combinatorics

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References

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