227 research outputs found

    Wetting of gradient fields: pathwise estimates

    Full text link
    We consider the wetting transition in the framework of an effective interface model of gradient type, in dimension 2 and higher. We prove pathwise estimates showing that the interface is localized in the whole thermodynamically-defined partial wetting regime considered in earlier works. Moreover, we study how the interface delocalizes as the wetting transition is approached. Our main tool is reflection positivity in the form of the chessboard estimate.Comment: Some typos removed after proofreading. Version to be published in PTR

    Fluctuations for the Ginzburg-Landau ϕ\nabla \phi Interface Model on a Bounded Domain

    Full text link
    We study the massless field on Dn=D1nZ2D_n = D \cap \tfrac{1}{n} \Z^2, where DR2D \subseteq \R^2 is a bounded domain with smooth boundary, with Hamiltonian \CH(h) = \sum_{x \sim y} \CV(h(x) - h(y)). The interaction \CV is assumed to be symmetric and uniformly convex. This is a general model for a (2+1)(2+1)-dimensional effective interface where hh represents the height. We take our boundary conditions to be a continuous perturbation of a macroscopic tilt: h(x)=nxu+f(x)h(x) = n x \cdot u + f(x) for xDnx \in \partial D_n, uR2u \in \R^2, and f ⁣:R2Rf \colon \R^2 \to \R continuous. We prove that the fluctuations of linear functionals of h(x)h(x) about the tilt converge in the limit to a Gaussian free field on DD, the standard Gaussian with respect to the weighted Dirichlet inner product (f,g)β=Diβiifiigi(f,g)_\nabla^\beta = \int_D \sum_i \beta_i \partial_i f_i \partial_i g_i for some explicit β=β(u)\beta = \beta(u). In a subsequent article, we will employ the tools developed here to resolve a conjecture of Sheffield that the zero contour lines of hh are asymptotically described by SLE(4)SLE(4), a conformally invariant random curve.Comment: 58 page

    Pathwise McKean-Vlasov Theory with Additive Noise

    Get PDF
    Abstract. We take a pathwise approach to classical McKean-Vlasov stochastic differential equations with additive noise, as e.g. exposed in Sznitmann [38]. Our study was prompted by some concrete problems in battery modelling [23], and also by recent progrss on rough-pathwise McKean-Vlasov theory, notably Cass-Lyons [10], and then Bailleul, Catellier and Delarue [4]. Such a "pathwise McKean-Vlasov theory" can be traced back to Tanaka [40]. This paper can be seen as an attempt to advertize the ideas, power and simplicity of the pathwise appproach, not so easily extracted from [4, 10, 40], together with a number of novel applications. These include mean field convergence without a priori independence and exchangeability assumption; common noise, c\ue0dl\ue0g noise, and reflecting boundaries. Last not least, we generalize Dawson-G\ue4rtner large deviations and the central limit theorem to a non-Brownian noise setting

    Minimum entropy production principle from a dynamical fluctuation law

    Full text link
    The minimum entropy production principle provides an approximative variational characterization of close-to-equilibrium stationary states, both for macroscopic systems and for stochastic models. Analyzing the fluctuations of the empirical distribution of occupation times for a class of Markov processes, we identify the entropy production as the large deviation rate function, up to leading order when expanding around a detailed balance dynamics. In that way, the minimum entropy production principle is recognized as a consequence of the structure of dynamical fluctuations, and its approximate character gets an explanation. We also discuss the subtlety emerging when applying the principle to systems whose degrees of freedom change sign under kinematical time-reversal.Comment: 17 page

    Analysis of airplane boarding via space-time geometry and random matrix theory

    Full text link
    We show that airplane boarding can be asymptotically modeled by 2-dimensional Lorentzian geometry. Boarding time is given by the maximal proper time among curves in the model. Discrepancies between the model and simulation results are closely related to random matrix theory. We then show how such models can be used to explain why some commonly practiced airline boarding policies are ineffective and even detrimental.Comment: 4 page
    corecore