The Multi-resolution Haar Wavelets Collocation Procedure for Fractional Riccati Equations

Abstract

In this paper, we present a Haar wavelet collocation method (HWCM) for solving fractional Riccati equations. The primary goal of this study is to bypass the requirement of calculating the Jacobian of the nonlinear system of algebraic equations by using an iterative quasi-linearization technique. The Haar wavelet series is then utilized to approximate the first-order derivative, which is incorporated into the Caputo derivative framework to express the fractional-order derivative. This process transforms the nonlinear Riccati equation into a linear system of algebraic equations, which does not require calculating the Jacobian and can be efficiently solved using any standard linear solver. We evaluate the performance of HWCM on various forms of fractional Riccati equations, demonstrating its efficiency and accuracy. Compared to existing methods in the literature, our proposed HWCM produces more precise results, making it a valuable tool for solving fractional-order differential equations.

Department(s)

Mathematics and Statistics

Comments

National Natural Science Foundation of China, Grant 12471497

Keywords and Phrases

collocation method; fractional Riccati equation; Haar wavelet; iterative quasilinearization technique

International Standard Serial Number (ISSN)

1402-4896; 0031-8949

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 IOP Publishing; Royal Swedish Academy of Sciences, All rights reserved.

Publication Date

01 Nov 2024

Share

 
COinS