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Some finite difference methods for solving linear fractional KdV equation
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The time-fractional Korteweg de Vries equation can be viewed as a generalization of the classical KdV equation. The KdV equations can be applied in modeling tsunami propagation, coastal wave dynamics, and oceanic wave interactions. In this study, we construct two standard finite difference methods using finite difference methods with conformable and Caputo approximations to solve a time-fractional Korteweg-de Vries (KdV) equation. These two methods are named as FDMCA and FDMCO. FDMCA utilizes Caputo's derivative and a finite-forward difference approach for discretization, while FDMCO employs conformable discretization. To study the stability, we use the Von Neumann Stability Analysis for some fractional parameter values. We perform error analysis usingL1&L∞norms and relative errors, and we present results through graphical representations and tables. Our obtained results demonstrate strong agreement between numerical and exact solutions when the fractional operator is close to 1.0 for both methods. Generally, this study enhances our comprehension of the capabilities and constraints of FDMCO and FDMCA when used to solve such types of partial differential equations laying some ground for further research.
Frontiers Media SA
Title: Some finite difference methods for solving linear fractional KdV equation
Description:
The time-fractional Korteweg de Vries equation can be viewed as a generalization of the classical KdV equation.
The KdV equations can be applied in modeling tsunami propagation, coastal wave dynamics, and oceanic wave interactions.
In this study, we construct two standard finite difference methods using finite difference methods with conformable and Caputo approximations to solve a time-fractional Korteweg-de Vries (KdV) equation.
These two methods are named as FDMCA and FDMCO.
FDMCA utilizes Caputo's derivative and a finite-forward difference approach for discretization, while FDMCO employs conformable discretization.
To study the stability, we use the Von Neumann Stability Analysis for some fractional parameter values.
We perform error analysis usingL1&L∞norms and relative errors, and we present results through graphical representations and tables.
Our obtained results demonstrate strong agreement between numerical and exact solutions when the fractional operator is close to 1.
0 for both methods.
Generally, this study enhances our comprehension of the capabilities and constraints of FDMCO and FDMCA when used to solve such types of partial differential equations laying some ground for further research.
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