用随机微分变换方法研究Lane-Emden复微分方程解的行为

IF 1.7 4区 工程技术 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Complexity Pub Date : 2023-03-16 DOI:10.1155/2023/3713454
Mehmet Merdan, Merve Merdan, Rıdvan Şahin
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引用次数: 0

摘要

本研究通过选取随机变量对Lane-Emden复微分方程的系数、初始条件和力函数进行随机化。此外,通过求得到的随机复微分方程的解,检验了解的概率特性。利用随机微分变换法(DTM)得到了近似于随机微分方程解的解析解。近似期望值和方差采用近似解法计算。采用DTM方法,对具有gamma分布、正态分布和beta分布的随机概率特征得到的随机复微分方程进行了求解。在MAPLE程序的帮助下,用图形显示了得到的概率特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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.

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来源期刊
Complexity
Complexity 综合性期刊-数学跨学科应用
CiteScore
5.80
自引率
4.30%
发文量
595
审稿时长
>12 weeks
期刊介绍: Complexity is a cross-disciplinary journal focusing on the rapidly expanding science of complex adaptive systems. The purpose of the journal is to advance the science of complexity. Articles may deal with such methodological themes as chaos, genetic algorithms, cellular automata, neural networks, and evolutionary game theory. Papers treating applications in any area of natural science or human endeavor are welcome, and especially encouraged are papers integrating conceptual themes and applications that cross traditional disciplinary boundaries. Complexity is not meant to serve as a forum for speculation and vague analogies between words like “chaos,” “self-organization,” and “emergence” that are often used in completely different ways in science and in daily life.
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