60 research outputs found

    Persistence of Kardar-Parisi-Zhang Interfaces

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    The probabilities P±(t0,t)P_\pm(t_0,t) that a growing Kardar-Parisi-Zhang interface remains above or below the mean height in the time interval (t0,t)(t_0, t) are shown numerically to decay as P±∼(t0/t)θ±P_\pm \sim (t_0/t)^{\theta_\pm} with θ+=1.18±0.08\theta_+ = 1.18 \pm 0.08 and θ−=1.64±0.08\theta_- = 1.64 \pm 0.08. Bounds on θ±\theta_\pm are derived from the height autocorrelation function under the assumption of Gaussian statistics. The autocorrelation exponent λˉ\bar \lambda for a dd--dimensional interface with roughness and dynamic exponents β\beta and zz is conjectured to be λˉ=β+d/z\bar \lambda = \beta + d/z. For a recently proposed discretization of the KPZ equation we find oscillatory persistence probabilities, indicating hidden temporal correlations.Comment: 4 pages, 3 figures, uses revtex and psfi

    Conserved Growth on Vicinal Surfaces

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    A crystal surface which is miscut with respect to a high symmetry plane exhibits steps with a characteristic distance. It is argued that the continuum description of growth on such a surface, when desorption can be neglected, is given by the anisotropic version of the conserved KPZ equation (T. Sun, H. Guo, and M. Grant, Phys. Rev. A 40, 6763 (1989)) with non-conserved noise. A one--loop dynamical renormalization group calculation yields the values of the dynamical exponent and the roughness exponent which are shown to be the same as in the isotropic case. The results presented here should apply in particular to growth under conditions which are typical for molecular beam epitaxy.Comment: 10 pages, uses revte

    Damping of Oscillations in Layer-by-Layer Growth

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    We present a theory for the damping of layer-by-layer growth oscillations in molecular beam epitaxy. The surface becomes rough on distances larger than a layer coherence length which is substantially larger than the diffusion length. The damping time can be calculated by a comparison of the competing roughening and smoothening mechanisms. The dependence on the growth conditions, temperature and deposition rate, is characterized by a power law. The theoretical results are confirmed by computer simulations.Comment: 19 pages, RevTex, 5 Postscript figures, needs psfig.st

    Persistence exponents for fluctuating interfaces

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    Numerical and analytic results for the exponent \theta describing the decay of the first return probability of an interface to its initial height are obtained for a large class of linear Langevin equations. The models are parametrized by the dynamic roughness exponent \beta, with 0 < \beta < 1; for \beta = 1/2 the time evolution is Markovian. Using simulations of solid-on-solid models, of the discretized continuum equations as well as of the associated zero-dimensional stationary Gaussian process, we address two problems: The return of an initially flat interface, and the return to an initial state with fully developed steady state roughness. The two problems are shown to be governed by different exponents. For the steady state case we point out the equivalence to fractional Brownian motion, which has a return exponent \theta_S = 1 - \beta. The exponent \theta_0 for the flat initial condition appears to be nontrivial. We prove that \theta_0 \to \infty for \beta \to 0, \theta_0 \geq \theta_S for \beta 1/2, and calculate \theta_{0,S} perturbatively to first order in an expansion around the Markovian case \beta = 1/2. Using the exact result \theta_S = 1 - \beta, accurate upper and lower bounds on \theta_0 can be derived which show, in particular, that \theta_0 \geq (1 - \beta)^2/\beta for small \beta.Comment: 12 pages, REVTEX, 6 Postscript figures, needs multicol.sty and epsf.st

    Spatial distribution of persistent sites

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    We study the distribution of persistent sites (sites unvisited by particles AA) in one dimensional A+A→∅A+A\to\emptyset reaction-diffusion model. We define the {\it empty intervals} as the separations between adjacent persistent sites, and study their size distribution n(k,t)n(k,t) as a function of interval length kk and time tt. The decay of persistence is the process of irreversible coalescence of these empty intervals, which we study analytically under the Independent Interval Approximation (IIA). Physical considerations suggest that the asymptotic solution is given by the dynamic scaling form n(k,t)=s−2f(k/s)n(k,t)=s^{-2}f(k/s) with the average interval size s∼t1/2s\sim t^{1/2}. We show under the IIA that the scaling function f(x)∼x−τf(x)\sim x^{-\tau} as x→0x\to 0 and decays exponentially at large xx. The exponent τ\tau is related to the persistence exponent θ\theta through the scaling relation τ=2(1−θ)\tau=2(1-\theta). We compare these predictions with the results of numerical simulations. We determine the two-point correlation function C(r,t)C(r,t) under the IIA. We find that for r≪sr\ll s, C(r,t)∼r−αC(r,t)\sim r^{-\alpha} where α=2−τ\alpha=2-\tau, in agreement with our earlier numerical results.Comment: 15 pages in RevTeX, 5 postscript figure

    Stochastic growth equations on growing domains

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    The dynamics of linear stochastic growth equations on growing substrates is studied. The substrate is assumed to grow in time following the power law tγt^\gamma, where the growth index γ\gamma is an arbitrary positive number. Two different regimes are clearly identified: for small γ\gamma the interface becomes correlated, and the dynamics is dominated by diffusion; for large γ\gamma the interface stays uncorrelated, and the dynamics is dominated by dilution. In this second regime, for short time intervals and spatial scales the critical exponents corresponding to the non-growing substrate situation are recovered. For long time differences or large spatial scales the situation is different. Large spatial scales show the uncorrelated character of the growing interface. Long time intervals are studied by means of the auto-correlation and persistence exponents. It becomes apparent that dilution is the mechanism by which correlations are propagated in this second case.Comment: Published versio

    Finite Temperature Depinning of a Flux Line from a Nonuniform Columnar Defect

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    A flux line in a Type-II superconductor with a single nonuniform columnar defect is studied by a perturbative diagrammatic expansion around an annealed approximation. The system undergoes a finite temperature depinning transition for the (rather unphysical) on-the-average repulsive columnar defect, provided that the fluctuations along the axis are sufficiently large to cause some portions of the column to become attractive. The perturbative expansion is convergent throughout the weak pinning regime and becomes exact as the depinning transition is approached, providing an exact determination of the depinning temperature and the divergence of the localization length.Comment: RevTeX, 4 pages, 3 EPS figures embedded with epsf.st

    Denaturation of Heterogeneous DNA

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    The effect of heterogeneous sequence composition on the denaturation of double stranded DNA is investigated. The resulting pair-binding energy variation is found to have a negligible effect on the critical properties of the smooth second order melting transition in the simplest (Peyrard-Bishop) model. However, sequence heterogeneity is dramatically amplified upon adopting a more realistic treatment of the backbone stiffness. The model yields features of ``multi-step melting'' similar to those observed in experiments.Comment: 4 pages, LaTeX, text and figures also available at http://matisse.ucsd.edu/~hw

    Persistence and survival in equilibrium step fluctuations

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    Results of analytic and numerical investigations of first-passage properties of equilibrium fluctuations of monatomic steps on a vicinal surface are reviewed. Both temporal and spatial persistence and survival probabilities, as well as the probability of persistent large deviations are considered. Results of experiments in which dynamical scanning tunneling microscopy is used to evaluate these first-passage properties for steps with different microscopic mechanisms of mass transport are also presented and interpreted in terms of theoretical predictions for appropriate models. Effects of discrete sampling, finite system size and finite observation time, which are important in understanding the results of experiments and simulations, are discussed.Comment: 30 pages, 12 figures, review paper for a special issue of JSTA
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