
On the solution of fractional modified Boussinesq and approximate long wave equations with non-singular kernel operators
Author(s) -
Thongchai Botmart,
Ravi P. Agarwal,
Muhammad Naeem,
Adnan Khan,
Rasool Shah
Publication year - 2022
Publication title -
aims mathematics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.329
H-Index - 15
ISSN - 2473-6988
DOI - 10.3934/math.2022693
Subject(s) - mathematics , invertible matrix , fractional calculus , kernel (algebra) , nonlinear system , simple (philosophy) , convergence (economics) , inverse , mathematical analysis , dispersion (optics) , physics , pure mathematics , geometry , philosophy , epistemology , quantum mechanics , optics , economics , economic growth
In this paper, we used the Natural decomposition approach with nonsingular kernel derivatives to explore the modified Boussinesq and approximate long wave equations. These equations are crucial in defining the features of shallow water waves using a specific dispersion relationship. In this research, the convergence analysis and error analysis have been provided. The fractional derivatives Atangana-Baleanu and Caputo-Fabrizio are utilised throughout the paper. To obtain the equations results, we used Natural transform on fractional-order modified Boussinesq and approximate long wave equations, followed by inverse Natural transform. To verify the approach, we focused on two systems and compared them to the exact solutions. We compare exact and analytical results with the use of graphs and tables, which are in strong agreement with each other, to demonstrate the effectiveness of the suggested approaches. Also compared are the results achieved by implementing the suggested approaches at various fractional orders, confirming that the result comes closer to the exact solution as the value moves from fractional to integer order. The numerical and graphical results show that the suggested scheme is computationally very accurate and simple to investigate and solve fractional coupled nonlinear complicated phenomena that exist in science and technology.