Analysis of Random Difference Equations Using the Differential Transformation Method

The differential transformation method (DTM) is one of the best methods easily applied to linear and nonlinear difference equations with random coefficients. In this study, we apply the theorems related to the DTM to the given examples and investigate the behaviour of the approximate analytical solu...

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Main Authors: Şeyma Şişman, Mehmet Merdan
Format: Article
Language:English
Published: Wiley 2024-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2024/2424880
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author Şeyma Şişman
Mehmet Merdan
author_facet Şeyma Şişman
Mehmet Merdan
author_sort Şeyma Şişman
collection DOAJ
description The differential transformation method (DTM) is one of the best methods easily applied to linear and nonlinear difference equations with random coefficients. In this study, we apply the theorems related to the DTM to the given examples and investigate the behaviour of the approximate analytical solutions. The expected value, variance, coefficient of variation, and confidence intervals of the solutions of random difference equations obtained from discrete probability distributions such as uniform, geometric, Poisson, and binomial distributions will be calculated. Maple and MATLAB software packages are used to plot the solution graphs and also to interpret the solution behaviour.
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institution Kabale University
issn 1687-0042
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spelling doaj-art-ad62a2c1cea64c8abbdc744af37cd9122025-02-03T11:37:23ZengWileyJournal of Applied Mathematics1687-00422024-01-01202410.1155/2024/2424880Analysis of Random Difference Equations Using the Differential Transformation MethodŞeyma Şişman0Mehmet Merdan1Department of Mathematical EngineeringDepartment of Mathematical EngineeringThe differential transformation method (DTM) is one of the best methods easily applied to linear and nonlinear difference equations with random coefficients. In this study, we apply the theorems related to the DTM to the given examples and investigate the behaviour of the approximate analytical solutions. The expected value, variance, coefficient of variation, and confidence intervals of the solutions of random difference equations obtained from discrete probability distributions such as uniform, geometric, Poisson, and binomial distributions will be calculated. Maple and MATLAB software packages are used to plot the solution graphs and also to interpret the solution behaviour.http://dx.doi.org/10.1155/2024/2424880
spellingShingle Şeyma Şişman
Mehmet Merdan
Analysis of Random Difference Equations Using the Differential Transformation Method
Journal of Applied Mathematics
title Analysis of Random Difference Equations Using the Differential Transformation Method
title_full Analysis of Random Difference Equations Using the Differential Transformation Method
title_fullStr Analysis of Random Difference Equations Using the Differential Transformation Method
title_full_unstemmed Analysis of Random Difference Equations Using the Differential Transformation Method
title_short Analysis of Random Difference Equations Using the Differential Transformation Method
title_sort analysis of random difference equations using the differential transformation method
url http://dx.doi.org/10.1155/2024/2424880
work_keys_str_mv AT seymasisman analysisofrandomdifferenceequationsusingthedifferentialtransformationmethod
AT mehmetmerdan analysisofrandomdifferenceequationsusingthedifferentialtransformationmethod