Search results for "Ornstein–Uhlenbeck process"

showing 10 items of 13 documents

On reliability of systems with moving material subjected to fracture and instability

2015

Abstract The reliability of systems with moving cracked elastic and isotropic material is considered. The material is modeled as a moving plate which continually has a crack on the edge. The plate is subjected to homogeneous tension acting in the traveling direction and the tension varies temporally around a constant value, the set tension. The tension and the length of the crack are modeled by an Ornstein–Uhlenbeck process and an exponential Ornstein–Uhlenbeck process, respectively. Failure is regarded as the state at which the plate becomes unstable or fractures (or both) and a lower bound for the reliability of the system is derived. Considering reliability of the system leads to first p…

Aerospace EngineeringBoundary (topology)Ocean EngineeringInstabilityOrnstein–Uhlenbeck processfirst passage timerandom parametersCivil and Structural EngineeringMathematicsta214Tension (physics)business.industryMechanical EngineeringIsotropyStatistical and Nonlinear PhysicsOrnstein–Uhlenbeck processStructural engineeringMechanicsstabilitymoving plateCondensed Matter PhysicsNuclear Energy and EngineeringfractureFracture (geology)First-hitting-time modelConstant (mathematics)businessProbabilistic Engineering Mechanics
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Stochastic differential calculus for wind-exposed structures with autoregressive continuous (ARC) filters

2008

In this paper, an alternative method to represent Gaussian stationary processes describing wind velocity fluctuations is introduced. The technique may be considered the extension to a time continuous description of the well-known discrete-time autoregressive model to generate Gaussian processes. Digital simulation of Gaussian random processes with assigned auto-correlation function is provided by means of a stochastic differential equation with time delayed terms forced by Gaussian white noise. Solution of the differential equation is a specific sample of the target Gaussian wind process, and in this paper it describes a digitally obtained record of the wind turbolence. The representation o…

Autoregressive continuous (ARC) modelRenewable Energy Sustainability and the EnvironmentStochastic processMechanical EngineeringGaussianOrnstein–Uhlenbeck processGaussian random fieldStochastic differential equationsymbols.namesakeQuasi-static theoryAutoregressive modelFourier transformsymbolsGaussian functionCalculusStochastic differential calculuApplied mathematicsGaussian random processeSettore ICAR/08 - Scienza Delle CostruzioniGaussian processCivil and Structural EngineeringMathematicsJournal of Wind Engineering and Industrial Aerodynamics
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Role of conditional probability in multiscale stationary markovian processes.

2010

The aim of the paper is to understand how the inclusion of more and more time-scales into a stochastic stationary Markovian process affects its conditional probability. To this end, we consider two Gaussian processes: (i) a short-range correlated process with an infinite set of time-scales bounded from below, and (ii) a power-law correlated process with an infinite and unbounded set of time-scales. For these processes we investigate the equal position conditional probability P(x,t|x,0) and the mean First Passage Time T(L). The function P(x,t|x,0) can be considered as a proxy of the persistence, i.e. the fact that when a process reaches a position x then it spends some time around that posit…

Continuous-time stochastic processPure mathematicsStationary processStationary distributionStatistical Mechanics (cond-mat.stat-mech)Stochastic processStochastic ProcesseFokker-Plank EquationFOS: Physical sciencesOrnstein–Uhlenbeck processConditional probability distributionSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)CombinatoricsStable processPhysics - Data Analysis Statistics and ProbabilityMarkovian processeFirst-hitting-time modelCondensed Matter - Statistical MechanicsData Analysis Statistics and Probability (physics.data-an)MathematicsPhysical review. E, Statistical, nonlinear, and soft matter physics
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Generalized Wiener Process and Kolmogorov's Equation for Diffusion induced by Non-Gaussian Noise Source

2005

We show that the increments of generalized Wiener process, useful to describe non-Gaussian white noise sources, have the properties of infinitely divisible random processes. Using functional approach and the new correlation formula for non-Gaussian white noise we derive directly from Langevin equation, with such a random source, the Kolmogorov's equation for Markovian non-Gaussian process. From this equation we obtain the Fokker-Planck equation for nonlinear system driven by white Gaussian noise, the Kolmogorov-Feller equation for discontinuous Markovian processes, and the fractional Fokker-Planck equation for anomalous diffusion. The stationary probability distributions for some simple cas…

Diffusion equationStatistical Mechanics (cond-mat.stat-mech)General MathematicsMathematical analysisGeneral Physics and AstronomyFOS: Physical sciencesOrnstein–Uhlenbeck processCondensed Matter - Soft Condensed MatterGaussian random fieldLangevin equationsymbols.namesakeStochastic differential equationAdditive white Gaussian noiseGaussian noisesymbolsProcess and Kolmogorov'sSoft Condensed Matter (cond-mat.soft)Fokker–Planck equationCondensed Matter - Statistical MechanicsMathematics
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A Weitzenböck formula for the damped Ornstein–Uhlenbeck operator in adapted differential geometry

2001

Abstract On the Riemannian path space we consider the Ornstein–Uhlenbeck operator associated to the Dirichlet form E (f,g)=E〈 ∇ f, ∇ g〉 H , where ∇ is the damped gradient and 〈·,·〉 H the scalar product of the Cameron–Martin space H . We prove a corresponding Weitzenbock formula restricted to adapted vector fileds: the Ricci-tensor is shown to be equal to the identity.

Dirichlet formScalar (mathematics)Mathematical analysisOrnstein–Uhlenbeck processGeneral MedicineRiemannian geometrysymbols.namesakeMathematics::ProbabilityDifferential geometrysymbolsVector fieldOrnstein–Uhlenbeck operatorRicci curvatureMathematicsComptes Rendus de l'Académie des Sciences - Series I - Mathematics
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A critical empirical study of three electricity spot price models

2012

We conduct an empirical analysis of three recently proposed and widely used models for electricity spot price process. The first model, called the jump-diffusion model, was proposed by Cartea and Figueroa (2005), and is a one-factor mean-reversion jump-diffusion model, adjusted to incorporate the most important characteristics of electricity prices. The second model, called the threshold model, was proposed by Roncoroni (2002) and further developed by Geman and Roncoroni (2006), and is an exponential Ornstein–Uhlenbeck process driven by a Brownian motion and a state-dependent compound Poisson process. It is designed to capture both statistical and pathwise properties of electricity spot pri…

Economics and EconometricsSpot contractComputer scienceJump diffusionLinear modelOrnstein–Uhlenbeck processWirtschaftswissenschaftenGeneral EnergyMathematikCompound Poisson processEconometricsMean reversionForward priceThreshold modelEnergy Economics
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Reliability analysis of processes with moving cracked material

2015

Abstract The reliability of processes with moving elastic and isotropic material containing initial cracks is considered in terms of fracture. The material is modelled as a moving plate which is simply supported from two of its sides and subjected to homogeneous tension acting in the travelling direction. For tension, two models are studied: (i) tension is constant with respect to time, and (ii) tension varies temporally according to an Ornstein–Uhlenbeck process. Cracks of random length are assumed to occur in the material according to a stochastic counting process. For a general counting process, a representation of the nonfracture probability of the system is obtained that exploits condi…

FOS: Computer and information sciencesStochastic modellingBoundary (topology)02 engineering and technologyComputational Engineering Finance and Science (cs.CE)0203 mechanical engineeringfirst passage timeComputer Science - Computational Engineering Finance and Sciencestochastic modelMathematics040101 forestryta214Counting processTension (physics)Applied Mathematicsta111Mathematical analysisIsotropyOrnstein–Uhlenbeck process04 agricultural and veterinary sciencesmoving material020303 mechanical engineering & transportsfractureModeling and Simulation0401 agriculture forestry and fisheriesOrnstein-Uhlenbeck processFirst-hitting-time modelConstant (mathematics)Applied Mathematical Modelling
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Stability in a System subject to Noise with Regulated Periodicity

2011

The stability of a simple dynamical system subject to multiplicative one-side pulse noise with hidden periodicity is investigated both analytically and numerically. The stability analysis is based on the exact result for the characteristic functional of the renewal pulse process. The influence of the memory effects on the stability condition is analyzed for two cases: (i) the dead-time-distorted poissonian process, and (ii) the renewal process with Pareto distribution. We show that, for fixed noise intensity, the system can be stable when the noise is characterized by high periodicity and unstable at low periodicity.

Fluctuation phenomena random processes noise and Brownian motionPeriodicityStochastic processProbability theory stochastic processes and statisticStochastic analysis methodsOrnstein–Uhlenbeck processModels TheoreticalStability (probability)Settore FIS/03 - Fisica Della MateriaStable processsymbols.namesakeStochastic differential equationNoiseControl theorysymbolsPareto distributionRenewal theoryStatistical physicsMathematics
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Resonant activation in piecewise linear asymmetric potentials

2011

7 páginas, 8 figuras.-- PACS number(s): 05.40.−a, 05.45.−a, 02.50.Ey

Fluctuation phenomena random processes noise and Brownian motionmedia_common.quotation_subjectMathematical analysisOrnstein–Uhlenbeck processWhite noiseStochastic processeAsymmetryNoise (electronics)Settore FIS/03 - Fisica Della MateriaPiecewise linear functionAmplitudeNonlinear dynamicsRectangular potential barrierFirst-hitting-time modelMathematicsmedia_common
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The Ornstein-Uhlenbeck Process

2009

PhysicsEconophysicsStochastic processOrnstein–Uhlenbeck processStatistical physics
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