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Probabilistic solution of a homogeneous linear second-order differential equation with randomized complex coefficients

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Probabilistic solution of a homogeneous linear second-order differential equation with randomized complex coefficients

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dc.contributor.author Navarro Quiles, Ana
dc.date.accessioned 2023-05-15T10:23:41Z
dc.date.available 2023-05-15T10:23:41Z
dc.date.issued 2022
dc.identifier.citation Navarro Quiles, Ana 2022 Probabilistic solution of a homogeneous linear second-order differential equation with randomized complex coefficients Probabilistic Engineering Mechanics 68 1 17
dc.identifier.uri https://hdl.handle.net/10550/86594
dc.description.abstract In this paper, an exact expression for the first probability density function of the solution stochastic process to a randomized homogeneous linear second-order complex differential equation is determined. To complete the probabilistic analysis, the first probability density functions of the real and complex contributions of the solution stochastic process are also calculated. To compute the densities, the random variable transformation method is applied under general hypothesis, all coefficients and initial conditions are absolutely continuous complex random variables. The capability of the theoretical results established is demonstrated by several numerical examples. Finally, we show the applicability of the method in engineering, by analysing the solution of a randomized simple harmonic oscillator, defined on the complex domain, and comparing our results with those obtained by using Monte Carlo simulations.
dc.language.iso eng
dc.relation.ispartof Probabilistic Engineering Mechanics, 2022, vol. 68, p. 1-17
dc.subject Estadística
dc.subject Estadística matemàtica
dc.title Probabilistic solution of a homogeneous linear second-order differential equation with randomized complex coefficients
dc.type journal article
dc.date.updated 2023-05-15T10:23:42Z
dc.identifier.doi 10.1016/j.probengmech.2022.103232
dc.identifier.idgrec 158368
dc.rights.accessRights open access

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