ON ANATOMIZING A CLASS OF THE FRACTIONAL VARIATIONAL PROBLEMS WITH THE LAGRANGE MULTIPLIER

The aim of this research is to introduce a numerical technique relying on the shifted Jacobi polynomials (SJPs) and the Laplace transform (LT) for anatomizing a class of the fractional variational problems (FVPs). The derivative in this problem is in the sense of the Caputo. To anatomizing FVP, first, we make an approximation for the Caputo operator ([Formula: see text]) using the SJPs with unknown parameters. Then, applying LT, we access [Formula: see text] and put it in the study problem. The process of this method and the Lagrange multiplier method reduces the study problem to a system of nonlinear algebraic equations. In this system, unknown parameters are calculated by solving the obtained system, and it gives [Formula: see text]. Finally, some illustrative examples are presented to demonstrate the accuracy and validity of the proposed scheme.

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Publication Details

Journal
Fractals
Published
2026-03-11
DOI
https://doi.org/10.1142/s0218348x26500581
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.00
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article

ON ANATOMIZING A CLASS OF THE FRACTIONAL VARIATIONAL PROBLEMS WITH THE LAGRANGE MULTIPLIER

K. Sayevand, Roghyeh Moallem Ganji, Zahra Zarvan, Hossein Jafari
Fractals
Fractional Differential Equations Solutions
article

ON ANATOMIZING A CLASS OF THE FRACTIONAL VARIATIONAL PROBLEMS WITH THE LAGRANGE MULTIPLIER

K. Sayevand, Roghyeh Moallem Ganji, Zahra Zarvan, Hossein Jafari
article en

Abstract

The aim of this research is to introduce a numerical technique relying on the shifted Jacobi polynomials (SJPs) and the Laplace transform (LT) for anatomizing a class of the fractional variational problems (FVPs). The derivative in this problem is in the sense of the Caputo. To anatomizing FVP, first, we make an approximation for the Caputo operator ([Formula: see text]) using the SJPs with unknown parameters. Then, applying LT, we access [Formula: see text] and put it in the study problem. The process of this method and the Lagrange multiplier method reduces the study problem to a system of nonlinear algebraic equations. In this system, unknown parameters are calculated by solving the obtained system, and it gives [Formula: see text]. Finally, some illustrative examples are presented to demonstrate the accuracy and validity of the proposed scheme.

Fractals
University of South Africa (ZA), China Medical University (TW), China Medical University Hospital (TW), Malayer University (IR), University of Mazandaran (IR), Saveetha University (IN)
Openalex Percentile: Top 33%
Fractional Differential Equations Solutions
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