Search results for "calculus"

showing 10 items of 617 documents

On Malliavin calculus and approximation of stochastic integrals for Lévy processes

2012

Stochastic integralsApproximation theoryMalliavian calculusStochastic analysisapproksimointiLévy processStochastic processstokastiset prosessit
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Stochastic Differential Equations

2020

Stochastic differential equations describe the time evolution of certain continuous n-dimensional Markov processes. In contrast with classical differential equations, in addition to the derivative of the function, there is a term that describes the random fluctuations that are coded as an Ito integral with respect to a Brownian motion. Depending on how seriously we take the concrete Brownian motion as the driving force of the noise, we speak of strong and weak solutions. In the first section, we develop the theory of strong solutions under Lipschitz conditions for the coefficients. In the second section, we develop the so-called (local) martingale problem as a method of establishing weak so…

Stochastic partial differential equationExamples of differential equationsStochastic differential equationWeak solutionApplied mathematicsMartingale (probability theory)Malliavin calculusNumerical partial differential equationsIntegrating factorMathematics
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Experimental Studies of Noise—Induced Phenomena in a Tunnel Diode

2007

Noise induced phenomena are investigated in a physical system based on a tunnel diode. The stochastic differential equation describing this physical system is analog to the Langevin equation of an overdamped Brownian particle diffusing in a nonlinear potential. This simple and versatile physical system allows a series of experiments testing and clarifying the role of the noise and of its correlation in the stochastic dynamics of bistable or metastable systems. Experimental investigations of stochastic resonance, resonant activation and noise enhanced stability are discussed.

Stochastic partial differential equationLangevin equationPhysicsStochastic differential equationQuantum stochastic calculusDifferential equationStochastic resonanceFokker–Planck equationStatistical physicsNoise (electronics)
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Einstein-Smoluchowsky equation handled by complex fractional moments

2014

In this paper the response of a non linear half oscillator driven by α-stable white noise in terms of probability density function (PDF) is investigated. The evolution of the PDF of such a system is ruled by the so called Einstein-Smoluchowsky equation involving, in the diffusive term, the Riesz fractional derivative. The solution is obtained by the use of complex fractional moments of the PDF, calculated with the aid of Mellin transform operator. It is shown that solution can be found for various values of stability index α and for any nonlinear function of the drift term in the stochastic differential equation.

Stochastic partial differential equationNonlinear systemStochastic differential equationMellin transformDifferential equationOperator (physics)Mathematical analysisProbability density functiona-stable white noise Nonlinear systems Einstein-Smoluchowsky equation Complex fractional momentsFractional calculusMathematics
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Stochastic response of combined primary-secondary structures under seismic input

1992

A technique for non-stationary stochastic analysis of linear combined primary and secondary subsystems subjected to a zero-mean Gaussian base excitation is presented. The proposed technique, based on the use of the Taylor's expansion in evaluating the operators which appear in the step-by-step procedure, does not require the evaluation of the complex eigenproperties of the combined system. Operating in this way, even though the numerical procedure is a conditionally stable one, appears to be more efficient than existing methods to evaluate the dynamic response of such composite systems. It is also shown that the proposed procedure is available whether the seismic input is idealized as a fil…

Stochastic processDifferential equationGaussianAutocorrelationWhite noiseGeotechnical Engineering and Engineering GeologyBase (topology)symbols.namesakeEarth and Planetary Sciences (miscellaneous)Taylor seriessymbolsCalculusAlgorithmMathematics
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A simplified analysis for the evaluation of stochastic response of elasto-plastic oscillators

1999

Abstract The paper deals with dynamic hysteretic oscillators without post-yielding hardening, called ideal elasto-plastic oscillators, subjected to white noise. They are characterized by the fact that they do not reach stationarity even though excited by stationary stochastic processes. A simplified solution procedure to capture this behaviour is presented in this paper. It is based on modelling the accumulated plastic deformations as a homogeneous compound Poisson process. In particular, two aspects are addressed in the paper: (1) evaluation of the probabilistic parameters of the accumulated plastic deformation process; and (2) evaluation of the second-order cumulants of the response by me…

Stochastic processMechanical EngineeringMonte Carlo methodProbabilistic logicAerospace EngineeringHomogeneous compound Poisson process modelOcean EngineeringStatistical and Nonlinear PhysicsWhite noiseCondensed Matter PhysicsElastoplastic oscillatorsNuclear Energy and EngineeringCompound Poisson processCalculusHardening (metallurgy)Applied mathematicsRandom vibrationElastoplastic oscillators; Homogeneous compound Poisson process modelCivil and Structural EngineeringMathematicsParametric statisticsProbabilistic Engineering Mechanics
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Digital generation of multivariate wind field processes

2001

Abstract A very efficient procedure for the generation of multivariate wind velocity stochastic processes by wave superposition as well as autoregressive time series is proposed in this paper. The procedure starts by decomposing the wind velocity field into a summation of fully coherent independent vector processes using the frequency dependent eigenvectors of the Power Spectral Density matrix. It is shown that the application of the method allows to show some very interesting physical properties that allow to reduce drastically the computational effort. Moreover, using a standard finite element procedure for approximating the frequency dependent eigenvectors, the generation procedure requi…

Stochastic processMechanical EngineeringUnivariateAerospace EngineeringSpectral densityOcean EngineeringStatistical and Nonlinear PhysicsCondensed Matter PhysicsWind speedMatrix (mathematics)Superposition principleNuclear Energy and EngineeringAutoregressive modelCalculusApplied mathematicsSafety Risk Reliability and QualityEigenvalues and eigenvectorsCivil and Structural EngineeringMathematics
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Set-valued and fuzzy stochastic differential equations driven by semimartingales

2013

Abstract In the paper we present set-valued and fuzzy stochastic integrals with respect to semimartingale integrators as well as their main properties. Then we study the existence of solutions to set-valued and fuzzy-set-valued stochastic differential equations driven by semimartingales. The stability of solutions is also established.

Stratonovich integralApplied MathematicsMathematical analysisStochastic calculusStability (learning theory)Fuzzy logicSet (abstract data type)Stochastic partial differential equationStochastic differential equationSemimartingaleMathematics::ProbabilityApplied mathematicsAnalysisMathematicsNonlinear Analysis-Theory Methods & Applications
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Set-valued stochastic integral equations driven by martingales

2012

Abstract We consider a notion of set-valued stochastic Lebesgue–Stieltjes trajectory integral and a notion of set-valued stochastic trajectory integral with respect to martingale. Then we use these integrals in a formulation of set-valued stochastic integral equations. The existence and uniqueness of the solution to such the equations is proven. As a generalization of set-valued case results we consider the fuzzy stochastic trajectory integrals and investigate the fuzzy stochastic integral equations driven by bounded variation processes and martingales.

Stratonovich integralContinuous-time stochastic processApplied MathematicsMathematical analysisMathematicsofComputing_NUMERICALANALYSISStochastic calculusRiemann–Stieltjes integralRiemann integralsymbols.namesakeQuantum stochastic calculusImproper integralsymbolsDaniell integralAnalysisMathematicsJournal of Mathematical Analysis and Applications
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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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