The Scaling Limit of Random Simple Triangulations and Random Simple Quadrangulations
نویسندگان
چکیده
The scaling limit of random simple triangulations and random simple quadrangulations . . . . . . . . . . . . . LOUIGI ADDARIO-BERRY AND MARIE ALBENQUE 2767 Recurrence and transience for the frog model on trees CHRISTOPHER HOFFMAN, TOBIAS JOHNSON AND MATTHEW JUNGE 2826 Stochastic De Giorgi iteration and regularity of stochastic partial differential equations ELTON P. HSU, YU WANG AND ZHENAN WANG 2855 Finitary coloring . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ALEXANDER E. HOLROYD, ODED SCHRAMM AND DAVID B. WILSON 2867 A (2 + 1)-dimensional growth process with explicit stationary measures FABIO LUCIO TONINELLI 2899 Asymptotics for 2D critical first passage percolation MICHAEL DAMRON, WAI-KIT LAM AND XUAN WANG 2941 Obliquely reflected Brownian motion in nonsmooth planar domains KRZYSZTOF BURDZY, ZHEN-QING CHEN, DONALD MARSHALL AND KAVITA RAMANAN 2971 Complete duality for martingale optimal transport on the line MATHIAS BEIGLBÖCK, MARCEL NUTZ AND NIZAR TOUZI 3038 The scaling limit of the minimum spanning tree of the complete graph LOUIGI ADDARIO-BERRY, NICOLAS BROUTIN, CHRISTINA GOLDSCHMIDT AND GRÉGORY MIERMONT 3075 Invariant measure for the stochastic Navier–Stokes equations in unbounded 2D domains ZDZISŁAW BRZEŹNIAK, ELŻBIETA MOTYL AND MARTIN ONDREJAT 3145 On the behavior of diffusion processes with traps M. FREIDLIN, L. KORALOV AND A. WENTZELL 3202 Integrability conditions for SDEs and semilinear SPDEs . . . . . . . . . . . . . . FENG-YU WANG 3223 A Clark–Ocone formula for temporal point processes and applications IAN FLINT AND GIOVANNI LUCA TORRISI 3266 A system of coalescing heavy diffusion particles on the real line . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . VITALII KONAROVSKYI 3293
منابع مشابه
The Scaling Limit of Random Simple Triangulations and Random Simple Quadrangulations
Let Mn be a simple triangulation of the sphere S, drawn uniformly at random from all such triangulations with n vertices. Endow Mn with the uniform probability measure on its vertices. After rescaling graph distance by (3/(4n)), the resulting random measured metric space converges in distribution, in the Gromov–Hausdorff– Prokhorov sense, to the Brownian map. In proving the preceding fact, we i...
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