About: Square tiling is a research topic. Over the lifetime, 514 publications have been published within this topic receiving 6781 citations. The topic is also known as: quadrille.
TL;DR: In this article, the authors give an exact formula for the limiting value of the logarithm of the number of tilings per unit area, as a function of the shape of the boundary of the region.
Abstract: 1.1. Description of results. A domino is a 1 x 2 (or 2 x 1) rectangle, and a tiling of a region by dominos is a way of covering that region with dominos so that there are no gaps or overlaps. In 1961, Kasteleyn [Kal] found a formula for the number of domino tilings of an m x n rectangle (with mn even), as shown in Figure 1 for rm = n = 68. Temperley and Fisher [TF] used a differenit method and arrived at the same result at almost exactly the same time. Both lines of calculation showed that the logarithm of number of tilings, divided by the number of dominos in a tiling (that is, mn/2), converges to 2G/7r 0.58 (here G is Catalan's constant). On the other hand, in 1992 Elkies et al. [EKLP] studied domino tilings of regions they called Aztec diamonds (Figure 2 shows an Aztec diamond of order 48), and showed that the logarithm of the number of tilings, divided by the number of dominos, converges to the smaller number (log 2)/2 0.35. Thus, even though the region in Figure 1 has slightly smaller area than the region in Figure 2, the former has far more domino tilings. For regions with other shapes, neither of these asymptotic formulas may apply. In the present paper we consider simply-connected regions of arbitrary shape. We give an exact formula for the limiting value of the logarithm of the number of tilings per unit area, as a function of the shape of the boundary of the region, as the size of the region goes to infinity. In particular, we show that computation of this limit is intimately linked with an understanding of long-range variations in the local statistics of random domino tilings. Such variations can be seen by comparing Figures 1 and 2. Each of the two tilings is random in the sense that the algorithm [PWI that was used to create it generates each of the possible tilings of the region being tiled with the same probability. Hence one can expect each tiling to be qualitatively typical of the overwhelming majority of tilings of the region in
TL;DR: The necessary conditions for the existence of such tilings using boundary invariants are given, which are combinatorial group-theoretic invariants associated to the boundaries of the tile shapes and the regions to be tiled.
TL;DR: A space filling curve (SFC) is a numbering of the cells of this grid with numbers from c+1 to c+N2, for some c≥0, if it can be recursively divided into four square RSFCs of equal size.
TL;DR: In this paper, a noncommutative space and the corresponding C*-algebra are constructed for one-dimensional tilings and Cartesian products thereof, and the part of this image which is given by an invariant measure on the hull of the tiling is determined.
Abstract: To a given tiling a noncommutative space and the corresponding C*-algebra are constructed. This includes the definition of a topology on the groupoid induced by translations of the tiling. The algebra is also the algebra of observables for discrete models of one or many particle systems on the tiling or its periodic identification. Its scaled ordered K0-group furnishes the gap labelling of Schrodinger operators. The group is computed for one-dimensional tilings and Cartesian products thereof. Its image under a state is investigated for tilings which are invariant under a substitution. The part of this image which is given by an invariant measure on the hull of the tiling is determined. The results from the Cartesian products of one-dimensional tilings point out that the gap labelling by means of the values of the integrated density of states is already fully determined by this measure.
TL;DR: The notion of tilings spaces and inverse limits was introduced in this article, where the authors propose a relaxation of the rules for tilings without finite local complexity, based on the notion of inverse limits.
Abstract: Basic notions Tiling spaces and inverse limits Cohomology of tilings spaces Relaxing the rules I: Rotations Pattern-equivariant cohomology Tricks of the trade Relaxing the rules II: Tilings without finite local complexity Solutions to selected exercises Bibliography.