1,049 research outputs found

    Weak disorder for low dimensional polymers: The model of stable laws

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    In this paper, we consider directed polymers in random environment with long range jumps in discrete space and time. We extend to this case some techniques, results and classifications known in the usual short range case. However, some properties are drastically different when the underlying random walk belongs to the domain of attraction of an \a-stable law. For instance, we construct natural examples of directed polymers in random environment which experience weak disorder in low dimension

    Directed Polymers in Random Environment are Diffusive at Weak Disorder

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    In this paper, we consider directed polymers in random environment with discrete space and time. For transverse dimension at least equal to 3, we prove that diffusivity holds for the path in the full weak disorder region, i.e., where the partition function differs from its annealed value only by a non-vanishing factor. Deep inside this region, we also show that the quenched averaged energy has fluctuations of order 1. In complete generality (arbitrary dimension and temperature), we prove monotonicity of the phase diagram in the temperature

    Shape and local growth for multidimensional branching random walks in random environment

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    We study branching random walks in random environment on the dd-dimensional square lattice, d≥1d \geq 1. In this model, the environment has finite range dependence, and the population size cannot decrease. We prove limit theorems (laws of large numbers) for the set of lattice sites which are visited up to a large time as well as for the local size of the population. The limiting shape of this set is compact and convex, though the local size is given by a concave growth exponent. Also, we obtain the law of large numbers for the logarithm of the total number of particles in the process.Comment: 38 pages, 2 figures; to appear in ALE

    Ballistic regime for random walks in random environment with unbounded jumps and Knudsen billiards

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    We consider a random walk in a stationary ergodic environment in Z\mathbb Z, with unbounded jumps. In addition to uniform ellipticity and a bound on the tails of the possible jumps, we assume a condition of strong transience to the right which implies that there are no "traps". We prove the law of large numbers with positive speed, as well as the ergodicity of the environment seen from the particle. Then, we consider Knudsen stochastic billiard with a drift in a random tube in Rd{\mathbb R}^d, d≥3d\geq 3, which serves as environment. The tube is infinite in the first direction, and is a stationary and ergodic process indexed by the first coordinate. A particle is moving in straight line inside the tube, and has random bounces upon hitting the boundary, according to the following modification of the cosine reflection law: the jumps in the positive direction are always accepted while the jumps in the negative direction may be rejected. Using the results for the random walk in random environment together with an appropriate coupling, we deduce the law of large numbers for the stochastic billiard with a drift.Comment: 37 pages, 1 figure; to appear in Annales de l'Institut Henri Poincar\'e (B) Probabilit\'es et Statistique

    Finite-size corrections to the speed of a branching-selection process

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    We consider a particle system studied by E. Brunet and B. Derrida, which evolves according to a branching mechanism with selection of the fittest keeping the population size fixed and equal to NN. The particles remain grouped and move like a travelling front driven by a random noise with a deterministic speed. Because of its mean-field structure, the model can be further analysed as N→∞N \to \infty. We focus on the case where the noise lies in the max-domain of attraction of the Weibull extreme value distribution and show that under mild conditions the correction to the speed has universal features depending on the tail probabilities

    Rate of convergence for polymers in a weak disorder

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    We consider directed polymers in random environment on the lattice Z d at small inverse temperature and dimension d ≥\ge 3. Then, the normalized partition function W n is a regular martingale with limit W. We prove that n (d--2)/4 (W n -- W)/W n converges in distribution to a Gaussian law. Both the polynomial rate of convergence and the scaling with the martingale W n are different from those for polymers on trees

    The vacant set of two-dimensional critical random interlacement is infinite

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    For the model of two-dimensional random interlacements in the critical regime (i.e., α=1\alpha=1), we prove that the vacant set is a.s.\ infinite, thus solving an open problem from arXiv:1502.03470. Also, we prove that the entrance measure of simple random walk on annular domains has certain regularity properties; this result is useful when dealing with soft local times for excursion processes.Comment: 38 pages, 3 figures; to appear in The Annals of Probabilit
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