2019
DOI: 10.4171/aihpd/77
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Speed and fluctuations for some driven dimer models

Abstract: We consider driven dimer models on the square and honeycomb graphs, starting from a stationary Gibbs measure. Each model can be thought of as a two dimensional stochastic growth model of an interface, belonging to the anisotropic KPZ universality class. We use a combinatorial approach to determine the speed of growth and show logarithmic growth in time of the variance of the height function fluctuations.

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Cited by 9 publications
(13 citation statements)
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“…(ii) If instead det H ρ ≤ 0 ("Anisotropic KPZ" or AKPZ class) one expects that α = β = 0 and that moreover the growth of (1.2), (1.3) is logarithmic, exactly like for the two-dimensional stochastic heat equation. This belief is supported by the mathematical analysis of various (2 + 1)-dimensional growth models [2,5,7,33] that share the following features: stationary states can be found explicitly and their height fluctuations behave on large space scales as a massless Gaussian Field (GFF), with α = 0 and logarithmic correlations; the speed of growth v(·) can be computed and det H ρ turns out to be negative; the growth exponent β is zero and the height variance grows at most logarithmically with time. This state of affairs naturally leads to two questions.…”
Section: Introductionmentioning
confidence: 91%
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“…(ii) If instead det H ρ ≤ 0 ("Anisotropic KPZ" or AKPZ class) one expects that α = β = 0 and that moreover the growth of (1.2), (1.3) is logarithmic, exactly like for the two-dimensional stochastic heat equation. This belief is supported by the mathematical analysis of various (2 + 1)-dimensional growth models [2,5,7,33] that share the following features: stationary states can be found explicitly and their height fluctuations behave on large space scales as a massless Gaussian Field (GFF), with α = 0 and logarithmic correlations; the speed of growth v(·) can be computed and det H ρ turns out to be negative; the growth exponent β is zero and the height variance grows at most logarithmically with time. This state of affairs naturally leads to two questions.…”
Section: Introductionmentioning
confidence: 91%
“…We begin by recalling how to express probabilities of local events via the Kasteleyn matrix and how to rewrite its matrix elements as single integrals in the complex plane, as was done in [6]. We adopt a similar coordinate system to the one used in [6] but we have chosen to interchange the white and black vertices, so that we can keep the same height change conventions from a previous paper [5]. Namely, with reference to Fig.…”
Section: Proof Of Theorem 310mentioning
confidence: 99%
“…• in the statement of [43, Th. 3.1] there is a technical restriction on the slope ρ, that was later removed in joint work with S. Chhita and P. Ferrari [9]; • the proof that the speed of growth v(·) in (2.9) is the same as the function v(·) in (2.7), as it should, was obtained by S. Chhita and P. Ferrari in [8] and requires a nice combinatorial property of the Gibbs measures π ρ . With reference to Remark 2.3 above, it is important to emphasize that there is no known determinantal form for the space-time correlations of the stationary process; for the proof of (2.8) we used a more direct and probabilistic method.…”
Section: 2mentioning
confidence: 99%
“…As we mentioned in the introduction, the two-dimensional domino-tiling growth model defined in Section 3.1 of [33] admits the Gibbs measures π ρ of the dimer model on Z 2 as stationary states. The speed of growth v(·) was computed in [12]: while it has quite a complicated expression in terms of ∇h, see [12, Eq. (2.6)], once expressed in terms of z it equals just π −1 z.…”
Section: A Couple Of Concrete Examplesmentioning
confidence: 99%
“…The first one is an AKPZ growth model based on domino tilings in the plane, defined in Section 3.1 of [33], that at first sight does not seem to fit into the general formalism of [7]. The proof of logarithmic growth fluctuations, implying α = β = 0, as well as the computation of the speed of growth and a direct verification that det(D 2 v(ρ)) < 0 can be found in [12]. The second one is the so-called q-Whittaker process, introduced in [4] in the wider context of Macdonald processes.…”
Section: Introductionmentioning
confidence: 99%