TY - JOUR
T1 - Random lattice triangulations
T2 - structure and algorithms
AU - Caputo, Pietro
AU - Martinelli, Fabio
AU - Sinclair, Alistair
AU - Stauffer, Alexandre
PY - 2015/6
Y1 - 2015/6
N2 - The paper concerns lattice triangulations, that is, triangulations of the integer points in a polygon in R 2 whose vertices are also integer points. Lattice triangulations have been studied extensively both as geometric objects in their own right and by virtue of applications in algebraic geometry. Our focus is on random triangulations in which a triangulation σ has weight λ |σ| , where λ is a positive real parameter, and |σ| is the total length of the edges in σ . Empirically, this model exhibits a “phase transition” at λ=1 (corresponding to the uniform distribution): for λ<1 distant edges behave essentially independently, while for λ>1 very large regions of aligned edges appear. We substantiate this picture as follows. For λ<1 sufficiently small, we show that correlations between edges decay exponentially with distance (suitably defined), and also that the Glauber dynamics (a local Markov chain based on flipping edges) is rapidly mixing (in time polynomial in the number of edges in the triangulation). This dynamics has been proposed by several authors as an algorithm for generating random triangulations. By contrast, for λ>1 we show that the mixing time is exponential. These are apparently the first rigorous quantitative results on the structure and dynamics of random lattice triangulations.
AB - The paper concerns lattice triangulations, that is, triangulations of the integer points in a polygon in R 2 whose vertices are also integer points. Lattice triangulations have been studied extensively both as geometric objects in their own right and by virtue of applications in algebraic geometry. Our focus is on random triangulations in which a triangulation σ has weight λ |σ| , where λ is a positive real parameter, and |σ| is the total length of the edges in σ . Empirically, this model exhibits a “phase transition” at λ=1 (corresponding to the uniform distribution): for λ<1 distant edges behave essentially independently, while for λ>1 very large regions of aligned edges appear. We substantiate this picture as follows. For λ<1 sufficiently small, we show that correlations between edges decay exponentially with distance (suitably defined), and also that the Glauber dynamics (a local Markov chain based on flipping edges) is rapidly mixing (in time polynomial in the number of edges in the triangulation). This dynamics has been proposed by several authors as an algorithm for generating random triangulations. By contrast, for λ>1 we show that the mixing time is exponential. These are apparently the first rigorous quantitative results on the structure and dynamics of random lattice triangulations.
UR - http://www.e-publications.org/ims/submission/AAP/user/submissionFile/14254?confirm=c1c1ae8d
UR - http://dx.doi.org/10.1214/14-AAP1033
U2 - 10.1214/14-AAP1033
DO - 10.1214/14-AAP1033
M3 - Article
SN - 1050-5164
VL - 25
SP - 1650
EP - 1685
JO - Annals of Applied Probability
JF - Annals of Applied Probability
IS - 3
ER -