Search results for "equation"

showing 10 items of 4219 documents

Higher order matrix differential equations with singular coefficient matrices

2015

In this article, the class of higher order linear matrix differential equations with constant coefficient matrices and stochastic process terms is studied. The coefficient of the highest order is considered to be singular; thus, rendering the response determination of such systems in a straightforward manner a difficult task. In this regard, the notion of the generalized inverse of a singular matrix is used for determining response statistics. Further, an application relevant to engineering dynamics problems is included.

Stochastic partial differential equationMatrix (mathematics)Constant coefficientsSingular solutionComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONMathematical analysisMathematicsofComputing_NUMERICALANALYSISMatrix analysisCoefficient matrixDifferential algebraic equationMatrix multiplicationMathematicsAIP Conference Proceedings
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Global integrability of the gradients of solutions to partial differential equations

1994

Stochastic partial differential equationMethod of characteristicsElliptic partial differential equationDifferential equationApplied MathematicsMathematical analysisFirst-order partial differential equationHyperbolic partial differential equationAnalysisMathematicsNumerical partial differential equationsSeparable partial differential equationNonlinear Analysis: Theory, Methods & Applications
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Stochastic integro-differential and differential equations of non-linear systems excited by parametric Poisson pulses

1997

Abstract The connection between stochastic integro-differential equation and stochastic differential equation of non-linear systems driven by parametric Poisson delta correlated processes is presented. It is shown that the two different formulations are fully equivalent in the case of external excitation. In the case of parametric type excitation the two formulation are equivalent if the non-linear argument in the integral representation is related by means of a series to the corresponding non-linear parametric term in the stochastic differential equation. Differential rules for the two representations to find moment equations of every order of the response are also compared.

Stochastic partial differential equationNonlinear systemStochastic differential equationMechanics of MaterialsStochastic processDifferential equationApplied MathematicsMechanical EngineeringNumerical analysisMathematical analysisFirst-order partial differential equationParametric statisticsMathematics
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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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On ordinary differential equations with interface conditions

1968

Stochastic partial differential equationOscillation theoryExamples of differential equationsApplied MathematicsCollocation methodMathematical analysisDifferential algebraic equationAnalysisSeparable partial differential equationNumerical partial differential equationsMathematicsIntegrating factorJournal of Differential Equations
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Adaptive Wavelet Methods for SPDEs

2014

We review a series of results that have been obtained in the context of the DFG-SPP 1324 project “Adaptive wavelet methods for SPDEs”. This project has been concerned with the construction and analysis of adaptive wavelet methods for second order parabolic stochastic partial differential equations on bounded, possibly nonsmooth domains \(\mathcal{O}\subset \mathbb{R}^{d}\). A detailed regularity analysis for the solution process u in the scale of Besov spaces \(B_{\tau,\tau }^{s}(\mathcal{O})\), 1∕τ = s∕d + 1∕p, α > 0, p ≥ 2, is presented. The regularity in this scale is known to determine the order of convergence that can be achieved by adaptive wavelet algorithms and other nonlinear appro…

Stochastic partial differential equationPure mathematicsWaveletSeries (mathematics)Rate of convergenceBesov spaceOrder (ring theory)Context (language use)Minimax approximation algorithmMathematics
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Hydrodynamics and Stochastic Differential Equation with Sobolev Coefficients

2013

In this chapter, we will explain how the Brenier’s relaxed variational principle for Euler equation makes involved the ordinary differential equations with Sobolev coefficients and how the investigation on stochastic differential equations (SDE) with Sobolev coefficients is useful to establish variational principles for Navier–Stokes equations. We will survey recent results on this topic.

Stochastic partial differential equationSobolev spacesymbols.namesakeStochastic differential equationDifferential equationOrdinary differential equationMathematics::Analysis of PDEssymbolsCharacteristic equationFirst-order partial differential equationApplied mathematicsMathematicsEuler equations
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Linear Systems Excited by Polynomials of Filtered Poission Pulses

1997

The stochastic differential equations for quasi-linear systems excited by parametric non-normal Poisson white noise are derived. Then it is shown that the class of memoryless transformation of filtered non-normal delta correlated process can be reduced, by means of some transformation, to quasi-linear systems. The latter, being excited by parametric excitations, are frst converted into ltoˆ stochastic differential equations, by adding the hierarchy of corrective terms which account for the nonnormality of the input, then by applying the Itoˆ differential rule, the moment equations have been derived. It is shown that the moment equations constitute a linear finite set of differential equatio…

Stochastic partial differential equationStochastic differential equationTransformation (function)Mechanics of MaterialsDifferential equationMechanical EngineeringNumerical analysisMathematical analysisLinear systemCondensed Matter PhysicsMathematicsParametric statisticsNumerical partial differential equationsJournal of Applied Mechanics
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Exact stationary solution for a class of non-linear systems driven by a non-normal delta-correlated process

1995

In this paper the exact stationary solution in terms of probability density function for a restricted class of non-linear systems under both external and parametric non-normal delta-correlated processes is presented. This class has been obtained by imposing a given probability distribution and finding the corresponding dynamical system which satisfies the modified Fokker-Planck equation. The effectiveness of the results has been verified by means of a Monte Carlo simulation.

Stochastic processApplied MathematicsMechanical EngineeringMonte Carlo methodProbability density functionStationary sequenceDynamical systemMechanics of MaterialsApplied mathematicsProbability distributionFokker–Planck equationStatistical physicsMathematicsParametric statisticsInternational Journal of Non-Linear Mechanics
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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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