Open AccessFirst-order linear differential equations whose data are complex random variables: Probabilistic solution and stability analysis via densities
Author(s) -
J.-C. Cortés,
n,
A. NavarroQuiles,
Javier Romero,
M.-D. Roselló
Publication year - 2021
Publication title -
aims mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.329
H-Index - 15
ISSN - 2473-6988
DOI - 10.3934/math.2022088
Subject(s) - mathematics , probability density function , random variable , stability (learning theory) , probabilistic logic , joint probability distribution , probability distribution , differential equation , transformation (genetics) , mathematical analysis , statistics , computer science , biochemistry , chemistry , machine learning , gene
Random initial value problems to non-homogeneous first-order linear differential equations with complex coefficients are probabilistically solved by computing the first probability density of the solution. For the sake of generality, coefficients and initial condition are assumed to be absolutely continuous complex random variables with an arbitrary joint probability density function. The probability of stability, as well as the density of the equilibrium point, are explicitly determined. The Random Variable Transformation technique is extensively utilized to conduct the overall analysis. Several examples are included to illustrate all the theoretical findings.