2015
DOI: 10.1142/s0129167x15500937
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Asymptotic geometry of discrete interlaced patterns: Part I

Abstract: We study the boundary of the liquid region L in large random lozenge tiling models defined by uniform random interlacing particle systems with general initial configuration, which lies on the line px, 1q, x P R " BH. We assume that the initial particle configuration converges weakly to a limiting density φpxq, 0 ď φ ď 1. The liquid region is given by a homeomorphism WL : L Ñ H, the upper half plane, and we consider the extension of W´1 L to H. Part of BL is given by a curve, the edge E , parametrized by interv… Show more

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Cited by 30 publications
(122 citation statements)
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“…1 In fact, this paper considers a more general weighting of lozenge tilings related to the q-Racah univariate orthogonal polynomials. In the uniform (q = 1) case the frozen boundary is known explicitly for a much wider family of boundary conditions, e.g., see [Pet14b], [BG15], [DM15].…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…1 In fact, this paper considers a more general weighting of lozenge tilings related to the q-Racah univariate orthogonal polynomials. In the uniform (q = 1) case the frozen boundary is known explicitly for a much wider family of boundary conditions, e.g., see [Pet14b], [BG15], [DM15].…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…Arctic phenomena have been observed in many other models, including lozenge tilings of hexagons [3], the 6-vertex model with domain wall boundary conditions [4,5], alternating sign matrices [6], lozenge tilings of polygonal domains [7,8] and the 2-periodic Aztec diamond [9]. For dimer models on bipartite planar graphs, rather general results have been obtained in [10,11].…”
Section: Introductionmentioning
confidence: 90%
“…with two cuts of sizes d and d , as in Fig. 4, satisfying m 1 + m 2 = n 1 + n 2 and N = b L + c L = b R + c R and c L + d = c R + d , the same limit (14) holds. Here also the limiting kernel L dTac , as in (9), only depends on the width ρ of the oblique strip {ρ } formed by the two cuts, the number r of dots on each oblique line in the strip {ρ }, and β as in (13),where…”
mentioning
confidence: 85%
“…with r = r + δ and ρ = n 1 − m 1 + b − d = ρ. Substituting the formulas (15) in the scaling (11) gives the correct scaling for the model of Theorem 1.3. Given the kernel (9) it is very natural to ask for the (joint) density of blue dots along oblique levels τ = τ 1 , τ 2 .…”
mentioning
confidence: 99%