Analytic technique for solving temporal time-fractional gas dynamics equations with Caputo fractional derivative

Mohammad Alaroud; Osama Ababneh; Nedal Tahat; Shrideh Al-Omari; Mohammad Alaroud; Osama Ababneh; Nedal Tahat; Shrideh Al-Omari

doi:10.3934/math.2022972

AIMS Mathematics

2022, Volume 7, Issue 10: 17647-17669. doi: 10.3934/math.2022972

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Analytic technique for solving temporal time-fractional gas dynamics equations with Caputo fractional derivative

1.
Department of Mathematics, Faculty of Arts and Science, Amman Arab University, Amman 11953, Jordan
2.
Department of Mathematics, Faculty of Science, Zarqa University, Zarqa, Jordan
3.
Department of Mathematics, Faculty of Science, The Hashemite University, P.O. Box 330127, Zarqa 13133, Jordan
4.
Department of Scientific Basic Sciences, Faculty of Engineering Technology, Al-Balqa Applied University, Amman 11134, Jordan

Received: 22 May 2022 Revised: 22 June 2022 Accepted: 28 June 2022 Published: 01 August 2022
MSC : 44A10, 35R11

Constructing mathematical models of fractional order for real-world problems and developing numeric-analytic solutions are extremely significant subjects in diverse fields of physics, applied mathematics and engineering problems. In this work, a novel analytical treatment technique called the Laplace residual power series (LRPS) technique is performed to produce approximate solutions for a non-linear time-fractional gas dynamics equation (FGDE) in a multiple fractional power series (MFPS) formula. The LRPS technique is a coupling of the RPS approach with the Laplace transform operator. The implementation of the proposed technique to handle time-FGDE models is introduced in detail. The MFPS solution for the target model is produced by solving it in the Laplace space by utilizing the limit concept with fewer computations and more accuracy. The applicability and performance of the technique have been validated via testing three attractive initial value problems for non-linear FGDEs. The impact of the fractional order β on the behavior of the MFPS approximate solutions is numerically and graphically described. The jth MFPS approximate solutions were found to be in full harmony with the exact solutions. The solutions obtained by the LRPS technique indicate and emphasize that the technique is easy to perform with computational efficiency for different kinds of time-fractional models in physical phenomena.
- Laplace transform,
- Caputo fractional derivative,
- fractional gas dynamics equation,
- Laplace residual power series
Citation: Mohammad Alaroud, Osama Ababneh, Nedal Tahat, Shrideh Al-Omari. Analytic technique for solving temporal time-fractional gas dynamics equations with Caputo fractional derivative[J]. AIMS Mathematics, 2022, 7(10): 17647-17669. doi: 10.3934/math.2022972

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Abstract

Constructing mathematical models of fractional order for real-world problems and developing numeric-analytic solutions are extremely significant subjects in diverse fields of physics, applied mathematics and engineering problems. In this work, a novel analytical treatment technique called the Laplace residual power series (LRPS) technique is performed to produce approximate solutions for a non-linear time-fractional gas dynamics equation (FGDE) in a multiple fractional power series (MFPS) formula. The LRPS technique is a coupling of the RPS approach with the Laplace transform operator. The implementation of the proposed technique to handle time-FGDE models is introduced in detail. The MFPS solution for the target model is produced by solving it in the Laplace space by utilizing the limit concept with fewer computations and more accuracy. The applicability and performance of the technique have been validated via testing three attractive initial value problems for non-linear FGDEs. The impact of the fractional order β on the behavior of the MFPS approximate solutions is numerically and graphically described. The jth MFPS approximate solutions were found to be in full harmony with the exact solutions. The solutions obtained by the LRPS technique indicate and emphasize that the technique is easy to perform with computational efficiency for different kinds of time-fractional models in physical phenomena.

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