Search results for "LIMIT"

showing 10 items of 2826 documents

Random walks in dynamic random environments and ancestry under local population regulation

2015

We consider random walks in dynamic random environments, with an environment generated by the time-reversal of a Markov process from the oriented percolation universality class. If the influence of the random medium on the walk is small in space-time regions where the medium is typical, we obtain a law of large numbers and an averaged central limit theorem for the walk via a regeneration construction under suitable coarse-graining. Such random walks occur naturally as spatial embeddings of ancestral lineages in spatial population models with local regulation. We verify that our assumptions hold for logistic branching random walks when the population density is sufficiently high.

Statistics and Probability82B43Markov processRandom walklogistic branching random walk01 natural sciences60K37 60J10 60K35 82B43010104 statistics & probabilitysymbols.namesakeMathematics::ProbabilityFOS: MathematicsLocal populationStatistical physics0101 mathematicsoriented percolationCentral limit theoremMathematicsdynamical random environmentProbability (math.PR)010102 general mathematicsRandom mediaRenormalization groupsupercritical clusterRandom walk60K37Population model60K35central limit theorem in random environmentPercolationsymbols60J10Statistics Probability and UncertaintyMathematics - ProbabilityElectronic Journal of Probability
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ON THE ASYMPTOTIC DISTRIBUTION OF BARTLETT'S Up-STATISTIC

1985

Abstract. In this paper the asymptotic behaviour of Bartlett's Up-statistic for a goodness-of-fit test for stationary processes, is considered. The asymptotic distribution of the test process is given under the assumption that a central limit theorem for the empirical spectral distribution function holds. It is shown that the Up-statistic tends to the supremum of a tied down Brownian motion. By a counterexample we refute the conjecture that this distribution is in general of the Kolmogorov-Smirnov type. The validity of the central limit theorem for the spectral distribution function is then discussed. Finally a goodness-of-fit test for ARMA-processes based on the estimated innovation sequen…

Statistics and ProbabilityAnderson–Darling testApplied MathematicsMathematical analysisV-statisticAsymptotic distributionKolmogorov–Smirnov testEmpirical distribution functionsymbols.namesakeSampling distributionsymbolsTest statisticStatistics Probability and UncertaintyCentral limit theoremMathematicsJournal of Time Series Analysis
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On fractional diffusion and continuous time random walks

2003

Abstract A continuous time random walk model is presented with long-tailed waiting time density that approaches a Gaussian distribution in the continuum limit. This example shows that continuous time random walks with long time tails and diffusion equations with a fractional time derivative are in general not asymptotically equivalent.

Statistics and ProbabilityAnomalous diffusionGaussianMathematical analysisCondensed Matter PhysicsRandom walkFractional calculussymbols.namesakeDistribution (mathematics)Time derivativesymbolsLimit (mathematics)Continuous-time random walkMathematicsPhysica A: Statistical Mechanics and its Applications
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Breathers and solitons of generalized nonlinear Schrödinger equations as degenerations of algebro-geometric solutions

2011

We present new solutions in terms of elementary functions of the multi-component nonlinear Schr\"odinger equations and known solutions of the Davey-Stewartson equations such as multi-soliton, breather, dromion and lump solutions. These solutions are given in a simple determinantal form and are obtained as limiting cases in suitable degenerations of previously derived algebro-geometric solutions. In particular we present for the first time breather and rational breather solutions of the multi-component nonlinear Schr\"odinger equations.

Statistics and ProbabilityBreatherMathematics::Analysis of PDEsGeneral Physics and AstronomyFOS: Physical sciences01 natural sciences010305 fluids & plasmasSchrödinger equationsymbols.namesakeMathematics - Analysis of PDEsSimple (abstract algebra)[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph]0103 physical sciencesFOS: MathematicsElementary function[MATH.MATH-MP] Mathematics [math]/Mathematical Physics [math-ph]010306 general physicsNonlinear Sciences::Pattern Formation and SolitonsMathematical PhysicsMathematical physicsPhysics[ MATH.MATH-MP ] Mathematics [math]/Mathematical Physics [math-ph]Statistical and Nonlinear PhysicsLimitingMathematical Physics (math-ph)Mathematics::Spectral TheoryNonlinear systemNonlinear Sciences::Exactly Solvable and Integrable SystemsModeling and SimulationsymbolsAnalysis of PDEs (math.AP)
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A Stochastic Approach to Quantum Statistics Distributions: Theoretical Derivation and Monte Carlo Modelling

2009

Abstract. We present a method aimed at a stochastic derivation of the equilibrium distribution of a classical/quantum ideal gas in the framework of the canonical ensemble. The time evolution of these ideal systems is modelled as a series of transitions from one system microstate to another one and thermal equilibrium is reached via a random walk in the single-particle state space. We look at this dynamic process as a Markov chain satisfying the condition of detailed balance and propose a variant of the Monte Carlo Metropolis algorithm able to take into account indistinguishability of identical quantum particles. Simulations performed on different two-dimensional (2D) systems are revealed to…

Statistics and ProbabilityCanonical ensemblePhysicsclassical Monte Carlo simulations quantum Monte Carlo simulations stochastic particle dynamics (theory)Monte Carlo methodStatistical and Nonlinear PhysicsMarkov chain Monte CarloIdeal gasMicrostate (statistical mechanics)symbols.namesakeThermodynamic limitDynamic Monte Carlo methodsymbolsStatistical physicsStatistics Probability and UncertaintyQuantum statistical mechanics
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Flow of Homeomorphisms and Stochastic Transport Equations

2007

Abstract We consider Stratonovich stochastic differential equations with drift coefficient A 0 satisfying only the condition of continuity where r is a positive C 1 function defined on a neighborhood ]0, c 0] of 0 such that (Osgood condition), and s → r(s) is decreasing while s → sr(s 2) is increasing. We prove that the equation defines a flow of homeomorphisms if the diffusion coefficients A 1,…, A N are in . If , we prove limit theorems for Wong–Zakai approximation as well as for regularizing the drift A 0. As an application, we solve a class of stochastic transport equations.

Statistics and ProbabilityClass (set theory)Stochastic differential equationFlow (mathematics)Stochastic processApplied MathematicsMathematical analysisLimit (mathematics)Function (mathematics)Statistics Probability and UncertaintyDiffusion (business)HomeomorphismMathematicsStochastic Analysis and Applications
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The Role of a Second Reservoir in an Open BCS Model

2005

In this paper we use the stochastic limit approach (SLA) in order to analyze some generalized versions of the open BCS model first introduced by Buffet and Martin and recently analyzed by the author using the SLA. In particular, considering different models, we discuss the role of a second reservoir interacting with the first one (but not with the system) in the computation of the critical temperature corresponding to the transition from a normal to a superconducting phase.

Statistics and ProbabilityComputationComplex systemPhase (waves)Statistical and Nonlinear PhysicsBCS ModelLimit (mathematics)Statistical physicstochastic limit approachSettore MAT/07 - Fisica MatematicaMathematical PhysicsMathematicsOpen Systems & Information Dynamics
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Attractors for non-autonomous retarded lattice dynamical systems

2015

AbstractIn this paperwe study a non-autonomous lattice dynamical system with delay. Under rather general growth and dissipative conditions on the nonlinear term,we define a non-autonomous dynamical system and prove the existence of a pullback attractor for such system as well. Both multivalued and single-valued cases are considered.

Statistics and ProbabilityDifferential equations with delayDynamical systems theoryNon-autonomous systemslattice dynamical systemsPullback attractorHamiltonian systemLinear dynamical systemProjected dynamical systemAttractorQA1-939pullback attractorMathematicsNumerical AnalysisApplied MathematicsMathematical analysisdifferential equations with delaynon-autonomous systemsClassical mechanicsLattice dynamical systemsPullback attractorset-valued dynamical systemsSet-valued dynamical systemsLimit setRandom dynamical systemMathematicsAnalysis
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Substitution systems and nonextensive statistics

2015

Abstract Substitution systems evolve in time by generating sequences of symbols from a finite alphabet: At a certain iteration step, the existing symbols are systematically replaced by blocks of N k symbols also within the alphabet (with N k , a natural number, being the length of the k th block of the substitution). The dynamics of these systems leads naturally to fractals and self-similarity. By using B -calculus (Garcia-Morales, 2012) universal maps for deterministic substitution systems both of constant and non-constant length, are formulated in 1D. It is then shown how these systems can be put in direct correspondence with Tsallis entropy. A ‘Second Law of Thermodynamics’ is also prove…

Statistics and ProbabilityDiscrete mathematicsTsallis entropymedia_common.quotation_subjectSymbolic dynamicsBlock (permutation group theory)Substitution (algebra)Natural numberSecond law of thermodynamicsCondensed Matter PhysicsLimit (mathematics)Constant (mathematics)Mathematicsmedia_commonPhysica A: Statistical Mechanics and its Applications
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Directed random walk on the backbone of an oriented percolation cluster

2012

We consider a directed random walk on the backbone of the infinite cluster generated by supercritical oriented percolation, or equivalently the space-time embedding of the ``ancestral lineage'' of an individual in the stationary discrete-time contact process. We prove a law of large numbers and an annealed central limit theorem (i.e., averaged over the realisations of the cluster) using a regeneration approach. Furthermore, we obtain a quenched central limit theorem (i.e.\ for almost any realisation of the cluster) via an analysis of joint renewals of two independent walks on the same cluster.

Statistics and ProbabilityDiscrete mathematicsdynamical random environment82B43Probability (math.PR)Random walkRandom walksupercritical clusterddc:60K3760K37 60J10 82B43 60K35Mathematics::Probability60K35Percolationcentral limit theorem in random environmentContact process (mathematics)Cluster (physics)FOS: MathematicsEmbedding60J10Statistics Probability and UncertaintyMathematics - Probabilityoriented percolationMathematicsCentral limit theorem
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