School of Mathematical and Statistical Sciences Faculty Publications and Presentations
Document Type
Article
Publication Date
9-2024
Abstract
In this work, a new relationship is established between the solutions of higher order 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, derive d’Alembert’s formula and show the existence of explicit solutions for a general fractional wave equation with variable coefficients. 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, Mariana, Tamer Oraby, Hansapani Rodrigo, Y. Sepulveda, J. Sifuentes, Erwin Suazo, T. Stuck, and J. Williams. "Numerical simulations for fractional differential equations of higher order and a wright-type transformation." Partial Differential Equations in Applied Mathematics (2024): 100751. https://doi.org/10.1016/j.padiff.2024.100751
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Publication Title
Partial Differential Equations in Applied Mathematics
DOI
https://doi.org/10.1016/j.padiff.2024.100751
Comments
© 2024 The Authors. Under a Creative Commons license