A characterization of linearly repetitive cut and project sets

Haynes, Alan; Koivusalo, Henna; Walton, James

Abstract

For the development of a mathematical theory which can be used to rigorously investigate physical properties of quasicrystals, it is necessary to understand regularity of patterns in special classes of aperiodic point sets in Euclidean space. In one dimension, prototypical mathematical models for quasicrystals are provided by Sturmian sequences and by point sets generated by substitution rules. Regularity properties of such sets are well understood, thanks mostly to well known results by Morse and Hedlund, and physicists have used this understanding to study one dimensional random Schrödinger operators and lattice gas models. A key fact which plays an important role in these problems is the existence of a subadditive ergodic theorem, which is guaranteed when the corresponding point set is linearly repetitive. In this paper we extend the one-dimensional model to cut and project sets, which generalize Sturmian sequences in higher dimensions, and which are frequently used in mathematical and physical literature as models for higher dimensional quasicrystals. By using a combination of algebraic, geometric, and dynamical techniques, together with input from higher dimensional Diophantine approximation, we give a complete characterization of all linearly repetitive cut and project sets with cubical windows. We also prove that these are precisely the collection of such sets which satisfy subadditive ergodic theorems. The results are explicit enough to allow us to apply them to known classical models, and to construct linearly repetitive cut and project sets in all pairs of dimensions and codimensions in which they exist.

Citation

Haynes, A., Koivusalo, H., & Walton, J. (2018). A characterization of linearly repetitive cut and project sets. Nonlinearity, 31(2), Article 515. https://doi.org/10.1088/1361-6544/aa9528

• Journal Article Type: Article
• Acceptance Date: Oct 23, 2017
• Online Publication Date: Jan 10, 2018
• Publication Date: Jan 10, 2018
• Deposit Date: Feb 21, 2017
• Publicly Available Date: Nov 1, 2017
• Journal: Nonlinearity
• Print ISSN: 0951-7715
• Electronic ISSN: 1361-6544
• Publisher: IOP Publishing
• Peer Reviewed: Peer Reviewed
• Volume: 31
• Issue: 2
• Article Number: 515
• DOI: https://doi.org/10.1088/1361-6544/aa9528