Novel hybrid function operational matrices of fractional integration: An application for solving multi-order fractional differential equations

TL;DR

This paper introduces a new numerical algorithm using hybrid functions and operational matrices to efficiently solve multi-order fractional differential equations, demonstrating superior accuracy and efficiency over existing methods.

Contribution

The paper develops a novel hybrid function-based operational matrix approach for solving multi-order fractional differential equations, enhancing computational accuracy and efficiency.

Findings

The proposed method accurately solves linear and nonlinear fractional differential equations.

It outperforms existing methods in terms of accuracy and computational efficiency.

The algorithm is applicable to equations with constant and variable coefficients.

Abstract

In the present work, an attempted was made to develop a numerical algorithm by the use of new orthogonal hybrid functions formed from hybrid of piecewise constant orthogonal sample-and-hold functions and piecewise linear orthogonal triangular functions to obtain the numerical solution of multi-order fractional differential equations. The construction of numerical algorithm involves a formula, consisting of generalized one-shot operational matrices, expressing explicitly the Riemann-Liouville fractional order integral of the new orthogonal hybrid functions in terms of new orthogonal hybrid functions themselves. A set of test problems comprising of linear and nonlinear multi-order fractional differential equations with constant and variable coefficients was considered to demonstrate the accuracy and computational efficiency of our algorithm and to compare our results with those acquired by some other well-known methods used for solving multi-order fractional differential equations in the literature. The comparison highlighted that our algorithm exhibits superior performance to those methods.