Investigation of Behavior on Solutions of Lane–Emden Complex Differential Equations by a Random Differential Transformation Method

Mehmet Merdan, Merve Merdan, Rıdvan Şahin and Lucia Valentina Gambuzza

Complexity, 2023, vol. 2023, 1-12

Abstract: In this study, Lane–Emden complex differential equations have been randomized by selecting random variables for the coefficients, initial conditions, and force functions of complex differential equations. In addition, by finding the solutions of the obtained random complex differential equations, the probability characteristics of the solutions are examined. The random version of the differential transformation method (DTM) is used to obtain an analytical solution close to the solution of the random differential equation. Approximate expected values and variances are calculated using the approximate solution method. The solutions of some random complex differential equations obtained by using random probability characteristics with gamma, normal, and beta distributions were obtained by the DTM method. The probability characteristics obtained are shown graphically with the help of the MAPLE program.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:3713454

DOI: 10.1155/2023/3713454

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