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The Fourier spectrum of critical percolation

Acta Mathematica volume 205, pages 19–104 (2010)Cite this article

Abstract

Consider the indicator function f of a 2-dimensional percolation crossing event. In this paper, the Fourier transform of f is studied and sharp bounds are obtained for its lower tail in several situations. Various applications of these bounds are derived. In particular, we show that the set of exceptional times of dynamical critical site percolation on the triangular grid in which the origin percolates has dimension \({\frac{31}{36}}\) almost surely, and the corresponding dimension in the half-plane is \({\frac{5}{9}}\) . It is also proved that critical bond percolation on the square grid has exceptional times almost surely. Also, the asymptotics of the number of sites that need to be resampled in order to significantly perturb the global percolation configuration in a large square is determined.

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Authors and Affiliations

  1. CNRS Département de mathématiques (UMPA) École normale supérieure de Lyon, FR-69364, Lyon Cedex 07, France

    Christophe Garban

  2. Department of Mathematics, University of Toronto, 40 St George St, Toronto, ON, M5S 2E4, Canada

    Gábor Pete

  3. Theory Group of Microsoft Research, One Microsoft Way, Redmond, WA, 98052-6399, U.S.A.

    Oded Schramm

Authors
  1. Christophe Garban
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  2. Gábor Pete
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  3. Oded Schramm
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Corresponding author

Correspondence to Gábor Pete.

Additional information

CG was partially supported by the ANR under the grant ANR-06-BLAN-0058. GP was partially supported by the Hungarian National Foundation for Scientific Research, grant T049398, and by an NSERC Discovery Grant. For large parts of the work, all three authors were at Microsoft Research.

Deceased on September 1st, 2008 (Oded Schramm).

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Garban, C., Pete, G. & Schramm, O. The Fourier spectrum of critical percolation. Acta Math 205, 19–104 (2010). https://doi.org/10.1007/s11511-010-0051-x

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  • DOI: https://doi.org/10.1007/s11511-010-0051-x

Keywords

  • Boundary Component
  • Fourier Spectrum
  • Triangular Lattice
  • Triangular Grid
  • Noise Sensitivity