Bell wavelets method to solve class of fractional differential equations arising in fluid mechanics

This study introduces a new Bell wavelet matrix method to solve a class of fractional differential equations arising in fluid mechanics. The class under consideration comprises the fractional relaxation-oscillation equation (R-OE) as a special case. In this work, the Bell wavelets are constructed using the Bell polynomials and their properties. The fractional operational matrix of integration is developed using block pulse functions (BPFs). The primary benefit of the suggested approach lies in its ability to convert these fractional R-OE into a set of algebraic equations, making them well-suited for computer programming. The present approach’s effectiveness and performance are shown by four test problems. By comparing the solutions obtained through this method with exact solutions and existing methods, we gain insight into the accuracy and reliability of the approach.

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Publication Details

Journal
Partial Differential Equations in Applied Mathematics
Published
2025-12-31
DOI
https://doi.org/10.1016/j.padiff.2025.101336
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
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article

Bell wavelets method to solve class of fractional differential equations arising in fluid mechanics

Shah Jahan, Kottakkaran Sooppy Nisar
Partial Differential Equations in Applied Mathematics
Fractional Differential Equations Solutions
article

Bell wavelets method to solve class of fractional differential equations arising in fluid mechanics

Shah Jahan, Kottakkaran Sooppy Nisar
article en

Abstract

This study introduces a new Bell wavelet matrix method to solve a class of fractional differential equations arising in fluid mechanics. The class under consideration comprises the fractional relaxation-oscillation equation (R-OE) as a special case. In this work, the Bell wavelets are constructed using the Bell polynomials and their properties. The fractional operational matrix of integration is developed using block pulse functions (BPFs). The primary benefit of the suggested approach lies in its ability to convert these fractional R-OE into a set of algebraic equations, making them well-suited for computer programming. The present approach’s effectiveness and performance are shown by four test problems. By comparing the solutions obtained through this method with exact solutions and existing methods, we gain insight into the accuracy and reliability of the approach.

Partial Differential Equations in Applied MathematicsVol. 17
Al-Ahliyya Amman University (JO), Prince Sattam Bin Abdulaziz University (SA), Central University of Haryana (IN), Near East University (CY)
Openalex Percentile: Top 32%
Fractional Differential Equations Solutions
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