Diameter Versus Certificate Complexity of Boolean Functions

Authors Siddhesh Chaubal, Anna Gál



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Siddhesh Chaubal
  • University of Texas at Austin, TX, USA
Anna Gál
  • University of Texas at Austin, TX, USA

Acknowledgements

We thank the anonymous referees for helpful comments on a previous version of the paper.

Cite As Get BibTex

Siddhesh Chaubal and Anna Gál. Diameter Versus Certificate Complexity of Boolean Functions. In 46th International Symposium on Mathematical Foundations of Computer Science (MFCS 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 202, pp. 31:1-31:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021) https://doi.org/10.4230/LIPIcs.MFCS.2021.31

Abstract

In this paper, we introduce a measure of Boolean functions we call diameter, that captures the relationship between certificate complexity and several other measures of Boolean functions. Our measure can be viewed as a variation on alternating number, but while alternating number can be exponentially larger than certificate complexity, we show that diameter is always upper bounded by certificate complexity. We argue that estimating diameter may help to get improved bounds on certificate complexity in terms of sensitivity, and other measures.
Previous results due to Lin and Zhang [Krishnamoorthy Dinesh and Jayalal Sarma, 2018] imply that s(f) ≥ Ω(n^{1/3}) for transitive functions with constant alternating number. We improve and extend this bound and prove that s(f) ≥ √n for transitive functions with constant alternating number, as well as for transitive functions with constant diameter. {We also show that bs(f) ≥ Ω(n^{3/7}) for transitive functions under the weaker condition that the "minimum" diameter is constant.}
Furthermore, we prove that the log-rank conjecture holds for functions of the form f(x ⊕ y) for functions f with diameter bounded above by a polynomial of the logarithm of the Fourier sparsity of the function f.

Subject Classification

ACM Subject Classification
  • Theory of computation → Complexity classes
Keywords
  • Sensitivity Conjecture
  • Boolean Functions
  • Certificate Complexity
  • Block Sensitivity
  • Log-rank Conjecture
  • Alternating Number

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