Search results for "Statistical physics"

showing 10 items of 1402 documents

ORDERING KINETICS IN QUASI-ONE-DIMENSIONAL ISING-LIKE SYSTEMS

1993

We present results of a Monte Carlo simulation of the kinetics of ordering in the two-dimensional nearest-neighbor Ising model in anL xM geometry with two free boundaries of length M≫L. This model can be viewed as representing an adsorbant on a stepped surface with mean terrace widthL. We follow the ordering kinetics after quenches to temperatures 0.25 ⩽ T/Tc ⩽ 1 starting from a random initial configuration at a coverage ofΘ=0.5 in the corresponding lattice gas picture. The systems evolve in time according to a Glauber kinetics with nonconserved order parameter. The equilibrium structure is given by a one-dimensional sequence of ordered domains. The ordering process evolves from a short ini…

Stochastic processLattice (order)Logarithmic growthMonte Carlo methodStatistical and Nonlinear PhysicsIsing modelStatistical physicsStatistical mechanicsStructure factorRandom walkMathematical PhysicsMathematics
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BROWNIAN DYNAMICS SIMULATIONS WITHOUT GAUSSIAN RANDOM NUMBERS

1991

We point out that in a Brownian dynamics simulation it is justified to use arbitrary distribution functions of random numbers if the moments exhibit the correct limiting behavior prescribed by the Fokker-Planck equation. Our argument is supported by a simple analytical consideration and some numerical examples: We simulate the Wiener process, the Ornstein-Uhlenbeck process and the diffusion in a Φ4 potential, using both Gaussian and uniform random numbers. In these examples, the rate of convergence of the mean first exit time is found to be nearly identical for both types of random numbers.

Stochastic processMathematical analysisGeneral Physics and AstronomyStatistical and Nonlinear PhysicsOrnstein–Uhlenbeck processBrownian excursionBrownian bridgeComputer Science Applicationssymbols.namesakeComputational Theory and MathematicsWiener processReflected Brownian motionStochastic simulationsymbolsStatistical physicsGaussian processMathematical PhysicsMathematicsInternational Journal of Modern Physics C
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Roughness of two nonintersecting one-dimensional interfaces.

2006

The dynamics of two spatially discrete one-dimensional single-step model interfaces with a noncrossing constraint is studied in both nonsymmetric propagating and symmetric relaxing cases. We consider possible scaling scenarios and study a few special cases by using continuous-time Monte Carlo simulations. The roughness of the interfaces is observed to be nonmonotonic as a function of time, and in the stationary state it is nonmonotonic also as a function of the strength of the effective force driving the interfaces against each other. This is related on the one hand to the reduction of the available configuration space and on the other hand to the ability of the interfaces to conform to eac…

Stochastic processMonte Carlo methodStatistical physicsFunction (mathematics)Configuration spaceSurface finishReduction (mathematics)ScalingStationary stateMathematicsPhysical review. E, Statistical, nonlinear, and soft matter physics
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Stochastic analysis of motorcycle dynamics

2011

Off-road and racing motorcycles require a particular setup of the suspensions to improve the comfort and the safety of the rider, maintaining a continuous contact between the road and the motorcycle (by means of the tires). Further, because of the ground roughness, in the case of offroad motorcycle, suspensions usually experience extreme and erratic excursions (suspension stroke) in performing their function. In this regard, the adoption of nonlinear devices can, perhaps, limit both the acceleration experienced by the sprung mass and the excursions of the suspensions. This leads to the consideration of asymmetric nonlinearly-behaving suspensions. This option, however, induces the difficulty…

Stochastic processStatistical linearization Autoregressive models Monte Carlo simulation Nonlinear devices.Bicycle and motorcycle dynamicsStatistical physicsSettore ICAR/08 - Scienza Delle CostruzioniMathematics
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Noise Induced Phenomena in the Dynamics of Two Competing Species

2015

Noise through its interaction with the nonlinearity of the living systems can give rise to counter-intuitive phenomena. In this paper we shortly review noise induced effects in different ecosystems, in which two populations compete for the same resources. We also present new results on spatial patterns of two populations, while modeling real distributions of anchovies and sardines. The transient dynamics of these ecosystems are analyzed through generalized Lotka-Volterra equations in the presence of multiplicative noise, which models the interaction between the species and the environment. We find noise induced phenomena such as quasi-deterministic oscillations, stochastic resonance, noise …

Stochastic resonanceMultiplicative noiseFOS: Physical sciencesPopulation dynamic01 natural sciencesMultiplicative noiseNoise induced phenomena010305 fluids & plasmasLangevin equation0103 physical sciencesQuantitative Biology::Populations and EvolutionStatistical physicsQuantitative Biology - Populations and Evolution010306 general physicsCondensed Matter - Statistical MechanicsPhysicsExtinctionPredictive microbiologyStatistical Mechanics (cond-mat.stat-mech)Applied MathematicsPopulations and Evolution (q-bio.PE)Langevin equation; Multiplicative noise; Noise induced phenomena; Population dynamics; Predictive microbiology; Stochastic resonance; Modeling and SimulationSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Langevin equationNoiseModeling and SimulationFOS: Biological sciencesSpatial ecologyProbability distributionStochastic resonanceCoupled map lattice
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A Scenario Simulation Model of Stock's Volatility Based on a Stationary Markovian Process

2013

In this paper we discuss univariate statistical properties of volatility. We present a parsimonious univariate model that well reproduces two stylized facts of volatility: the power-law decay of the volatility probability density function with exponent α and the power-law decay of the autocorrelation function with exponent β. Such model also reproduces, at least qualitatively, the empirical observation than when the probability density function decays faster, then the autocorrelation decays slower. Another important feature investigated within the model is the mean First Passage Time (mFPT) Tx0 (Λ) of volatility time-series. We show that the proposed model allows to obtain the mFPT in terms…

Stochastic volatilityAutocorrelationEconomicsForward volatilityEconometricsExponentProbability density functionStatistical physicsVolatility riskVolatility (finance)First-hitting-time modelSSRN Electronic Journal
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Stochastic model of memristor based on the length of conductive region

2021

Abstract We propose a stochastic model of a voltage controlled bipolar memristive system, which includes the properties of widely used dynamic SPICE models and takes into account the fluctuations inherent in memristors. The proposed model is described by rather simple equations of Brownian diffusion, does not require significant computational resources for numerical modeling, and allows obtaining the exact analytical solutions in some cases. The noise-induced transient bimodality phenomenon, arising under resistive switching, was revealed and investigated theoretically and experimentally in a memristive system, by finding a quite good qualitatively agreement between theory and experiment. B…

StochasticityYttria stabilized zirconiaSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciComputer scienceStochastic modellingGeneral MathematicsApplied MathematicsSpiceGeneral Physics and AstronomyMarkov processStatistical and Nonlinear PhysicsMemristorMemristorBimodalitylaw.inventionsymbols.namesakelawsymbolsResistive switchingStatistical physicsTransient (oscillation)First-hitting-time modelBrownian motion
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Formation of dislocation patterns: Computer simulations

1996

Dislocations patterns have been extensively studied by means of TEM. In parallel, theoretical approaches have been developed by using two methods; reaction diffusion schemes and computer simulation models. This distinction is not rigid since some computer models include the former approach in their evolution equations. Independently from the difficulties each approach presents in formulating the collective behavior of dislocations, the aim of these studies is to exhibit simple dislocation patterns as persistent slip bands and/or cellular organization. In this context, computer simulations brought a methodology which undoubtedly is a complement to the existing approaches for dislocations. Ne…

Stress (mechanics)Dislocation creepPhysicsCollective behaviorMesoscopic physicsClassical mechanicsLüders bandReaction–diffusion systemContext (language use)Statistical physicsDislocationPhysical Review B
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A review of the general theory of thermoelastic stress analysis

2003

Thermoelastic stress analysis (TSA) is now a well-known experimental technique providing information on the surface stress field in structures. Many studies have assessed the potential of the technique for a number of applications and some useful and detailed reviews of these investigations are available, focusing mainly on the experimental aspects related to the measurement of the thermoelastic signal. In this work, instead, a complete and detailed insight into the origins of the various forms of the equations describing the thermoelastic effect is given with reference to the concepts of the thermodynamic theory of a continuum. A discussion on the theory leading to the thermoelastic effec…

Stress (mechanics)Work (thermodynamics)Materials scienceThermoelastic dampingField (physics)General theoryContinuum (measurement)Mechanics of MaterialsApplied MathematicsMechanical EngineeringModeling and SimulationCalculusStatistical physicsThe Journal of Strain Analysis for Engineering Design
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Structure finding in cosmological simulations: the state of affairs

2013

The ever increasing size and complexity of data coming from simulations of cosmic structure formation demands equally sophisticated tools for their analysis. During the past decade, the art of object finding in these simulations has hence developed into an important discipline itself. A multitude of codes based upon a huge variety of methods and techniques have been spawned yet the question remained as to whether or not they will provide the same (physical) information about the structures of interest. Here we summarize and extent previous work of the "halo finder comparison project": we investigate in detail the (possible) origin of any deviations across finders. To this extent we decipher…

Structure formationCosmology and Nongalactic Astrophysics (astro-ph.CO)Ciencias FísicasDark matterFOS: Physical sciencesAstrophysicsGALAXIES HALOESAstrophysics::Cosmology and Extragalactic Astrophysics01 natural sciences//purl.org/becyt/ford/1 [https]0103 physical sciencesGalaxy formation and evolutionStatistical physics010303 astronomy & astrophysicsGalaxy rotation curveComputingMilieux_MISCELLANEOUSPhysics[PHYS]Physics [physics]COSMIC cancer database010308 nuclear & particles physicsAstronomy and AstrophysicsObservable//purl.org/becyt/ford/1.3 [https]AstronomíaGravitational lensSpace and Planetary ScienceLUMINOSITY FUNCTIONHaloGALAXIES EVOLUTION[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]CIENCIAS NATURALES Y EXACTASAstrophysics - Cosmology and Nongalactic AstrophysicsGALAXIES STATISTICS
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