Scaling of Density Fluctuations and Hyperuniformity in One-dimensional Substitution Tilings

ORAL

Abstract

Substitution tilings include periodic, quasiperiodic, limit periodic, and other self-similar structures generated by iterated subdivision and rescaling of a finite set of tiles. We study the scaling of density fluctuations associated with a broad class of substitution rules in one dimension. We show that a simple, heuristic argument for the rate of decay of the integrated Fourier intensity Z(k) at small values of the wavenumber k correctly predicts the scaling of the variance σ2(R) in the number of points contained in intervals of length 2R. The exponent α, defined by Z~kα+1, is determined by the ratio of the second largest and largest eigenvalues of the substitution matrix and can vary between -1 and 3, where α>0 implies a hyperuniform distribution of tile vertices. The hyperuniform class includes tilings that are periodic, quasiperiodic, or limit periodic, including a new class of limit-periodic tilings for which Z approaches zero faster than any power law. Tilings with continuous diffraction spectra may be hyperuniform or may even exhibit stronger fluctuations than a Poisson system.

Presenters

  • Erdal Oğuz

    School of Mechanical Engineering and The Sackler Center for Computational Molecular and Materials Science, Tel Aviv University, School of Mechanical Engineering and Sackler Center for Computational Molecular and Materials Science, Tel Aviv University

Authors

  • Erdal Oğuz

    School of Mechanical Engineering and The Sackler Center for Computational Molecular and Materials Science, Tel Aviv University, School of Mechanical Engineering and Sackler Center for Computational Molecular and Materials Science, Tel Aviv University

  • Joshua Socolar

    Department of Physics, Duke University

  • Paul Steinhardt

    Princeton Center for Theoretical Science and Department of Physics, Princeton University

  • Salvatore Torquato

    Department of Chemistry, Princeton University, Chemistry, Physics and Applied Math , Princeton University