Numerical Simulations for Fractional Differential Equations of Higher Order and a Wright-Type Transformation

Authors

Mariana Nacianceno, The University of Texas Rio Grande Valley
Tamer Oraby, The University of Texas Rio Grande Valley
Hansapani Rodrigo, The University of Texas Rio Grande Valley
Y. Sepulveda, The University of Texas Rio Grande Valley
Josef A. Sifuentes, The University of Texas Rio Grande Valley
Erwin Suazo, The University of Texas Rio Grande Valley
T. Stuck
J. Williams

Document Type

Article

Publication Date

3-2024

Abstract

In this work, a new relationship is established between the solutions of higher fractional differential equations and a Wright-type transformation. Solutions could be interpreted as expected values of functions in a random time process. As applications, we solve the fractional beam equation, fractional electric circuits with special functions as external sources, and derive d’Alembert’s formula for the fractional wave equation. Due to this relationship, we present two methods for simulating solutions of fractional differential equations. The two approaches use the interpretation of the Caputo derivative of a function as a Wright-type transformation of the higher derivative of the function. In the first approach, we use the Runge-Kutta method of hybrid orders 4 and 5 to solve ordinary differential equations combined with the Monte Carlo integration to conduct the Wright-type transformation. The second method uses a feedforward neural network to simulate the fractional differential equation.

Recommended Citation

Nacianceno, M., T. Oraby, H. Rodrigo, Y. Sepulveda, J. Sifuentes, E. Suazo, T. Stuck, and J. Williams. "Numerical Simulations for Fractional Differential Equations of Higher Order and a Wright-Type Transformation." arXiv preprint arXiv:2404.00248 (2024).