Müntz–Legendre Wavelet Collocation Method for Solving Fractional Riccati Equation

We propose a wavelet collocation method for solving the fractional Riccati equation, using the Müntz–Legendre wavelet basis and its associated operational matrix of fractional integration. The fractional Riccati equation is first transformed into a Volterra integral equation with a weakly singular kernel. By employing the collocation method along with the operational matrix, we reduce the problem to a system of nonlinear algebraic equations, which is then solved using Newton–Raphson’s iterative procedure. The error estimate of the proposed method is analyzed, and numerical simulations are conducted to demonstrate its accuracy and efficiency. The obtained results are compared with existing approaches from the literature, highlighting the advantages of our method in terms of accuracy and computational performance.

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Publication Details

Journal
Axioms
Published
2025-03-02
DOI
https://doi.org/10.3390/axioms14030185
Citations
2
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
2.74
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article

Müntz–Legendre Wavelet Collocation Method for Solving Fractional Riccati Equation

Fatemeh Soleyman, Iván Area
2 citations
Axioms
Fractional Differential Equations Solutions
2.74
article

Müntz–Legendre Wavelet Collocation Method for Solving Fractional Riccati Equation

Fatemeh Soleyman, Iván Area
article en
2 citations

Abstract

We propose a wavelet collocation method for solving the fractional Riccati equation, using the Müntz–Legendre wavelet basis and its associated operational matrix of fractional integration. The fractional Riccati equation is first transformed into a Volterra integral equation with a weakly singular kernel. By employing the collocation method along with the operational matrix, we reduce the problem to a system of nonlinear algebraic equations, which is then solved using Newton–Raphson’s iterative procedure. The error estimate of the proposed method is analyzed, and numerical simulations are conducted to demonstrate its accuracy and efficiency. The obtained results are compared with existing approaches from the literature, highlighting the advantages of our method in terms of accuracy and computational performance.

AxiomsVol. 14(3)
Universidade de Vigo (ES), K. N. Toosi University of Technology (IR)
Openalex Percentile: Top 13%
Fractional Differential Equations Solutions
2.74
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