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Article Dans Une Revue Annales Henri Lebesgue Année : 2021

The domino shuffling algorithm and Anisotropic KPZ stochastic growth

Résumé

The domino-shuffling algorithm can be seen as a stochastic process describing the irreversible growth of a (2+1)-dimensional discrete interface. Its stationary speed of growth vw(ρ) depends on the average interface slope ρ, as well as on the edge weights w, that are assumed to be periodic in space. We show that this growth model belongs to the Anisotropic KPZ class: one has det[D2vw(ρ)]<0 and the height fluctuations grow at most logarithmically in time. Moreover, we prove that Dvw(ρ) is discontinuous at each of the (finitely many) smooth (or ``gaseous'') slopes ρ; at these slopes, fluctuations do not diverge as time grows. For a special case of spatially 2periodic weights, analogous results have been recently proven in Chhita-Toninelli (2018) via an explicit computation of vw(ρ). In the general case, such a computation is out of reach; instead, our proof goes through a relation between the speed of growth and the limit shape of domino tilings of the Aztec diamond.

Dates et versions

hal-02159744 , version 1 (19-06-2019)

Identifiants

Citer

Sunil Chhita, Fabio Toninelli. The domino shuffling algorithm and Anisotropic KPZ stochastic growth. Annales Henri Lebesgue, 2021, 4, pp.1005-1034. ⟨10.48550/arXiv.1906.07231⟩. ⟨hal-02159744⟩
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