We consider uniformly random lozenge tilings of essentially arbitrary domains and show that the local statistics of this model around any point in the liquid region of its limit shape are given by the infinite-volume, translation-invariant, extremal Gibbs measure of the appropriate slope. In this talk, we outline a proof of this result, which proceeds by locally coupling a uniformly random lozenge tiling with a model of Bernoulli random walks conditioned to never intersect. Central to implementing this procedure is to establish a local law for the random tiling, which states that the associated height function is approximately linear on any mesoscopic scale.Non UBCUnreviewedAuthor affiliation: HarvardGraduat
Abstract We use the periodic Schur process, introduced in (Borodin in Duke Math J 140...
38 pages, 5 figuresWe study the Glauber dynamics on the set of tilings of a finite domain of the pla...
We consider the problem of testing uniformity on high-dimensional unit spheres.We are primarily inte...
This thesis concerns uniformly random discrete interlacing particle sys-tems and their connections t...
Abstract. A Gelfand-Tsetlin scheme of depth N is a triangular array with m integers at level m, m = ...
Abstract. We study large-scale height fluctuations of random stepped sur-faces corresponding to unif...
This paper investigates lozenge tilings of non-convex hexagonal regions and more specifically the as...
We give a new proof of the fact that, near a turning point of the frozen boundary, the vertical tile...
© Institute of Mathematical Statistics, 2019. We consider the N-particle noncolliding Bernoulli rand...
The dependence of the universality class on the statistical weight of unrestricted random paths is e...
We consider a Markov evolution of lozenge tilings of a quarter-plane and study its asymptotics at la...
The dependence of the universality class on the statistical weight of unrestricted random paths is e...
We study the boundary of the liquid region L in large random lozenge tiling models defined by unifor...
This is the first in a series of three papers that addresses the behaviour of the droplet that resul...
The dependence of the universality class on the statistical weight of unrestricted random paths is e...
Abstract We use the periodic Schur process, introduced in (Borodin in Duke Math J 140...
38 pages, 5 figuresWe study the Glauber dynamics on the set of tilings of a finite domain of the pla...
We consider the problem of testing uniformity on high-dimensional unit spheres.We are primarily inte...
This thesis concerns uniformly random discrete interlacing particle sys-tems and their connections t...
Abstract. A Gelfand-Tsetlin scheme of depth N is a triangular array with m integers at level m, m = ...
Abstract. We study large-scale height fluctuations of random stepped sur-faces corresponding to unif...
This paper investigates lozenge tilings of non-convex hexagonal regions and more specifically the as...
We give a new proof of the fact that, near a turning point of the frozen boundary, the vertical tile...
© Institute of Mathematical Statistics, 2019. We consider the N-particle noncolliding Bernoulli rand...
The dependence of the universality class on the statistical weight of unrestricted random paths is e...
We consider a Markov evolution of lozenge tilings of a quarter-plane and study its asymptotics at la...
The dependence of the universality class on the statistical weight of unrestricted random paths is e...
We study the boundary of the liquid region L in large random lozenge tiling models defined by unifor...
This is the first in a series of three papers that addresses the behaviour of the droplet that resul...
The dependence of the universality class on the statistical weight of unrestricted random paths is e...
Abstract We use the periodic Schur process, introduced in (Borodin in Duke Math J 140...
38 pages, 5 figuresWe study the Glauber dynamics on the set of tilings of a finite domain of the pla...
We consider the problem of testing uniformity on high-dimensional unit spheres.We are primarily inte...