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Modified fractional variational iteration method for solving the generalized time-space fractional Schrödinger
1Faculty of Science, Jiangsu University, Zhenjiang, Jiangsu 212013, China ; Department of Basic Causes, Nanjing Institute of Technology, Nanjing 211167, China.
Researchers developed a modified fractional variational iteration method to find approximate solutions for the generalized time-space fractional Schrödinger equation (GFNLS). This new method proves effective and reliable for solving complex fractional differential equations.
Area of Science:
- Applied Mathematics
- Fractional Calculus
- Mathematical Physics
Background:
- The generalized time-space fractional Schrödinger equation (GFNLS) models various phenomena in quantum mechanics and optics.
- Traditional methods for solving fractional differential equations can be computationally intensive and may lack efficiency.
- Developing robust numerical techniques is crucial for analyzing complex fractional models.
Purpose of the Study:
- To modify the fractional variational iteration method (FVIM) for solving the GFNLS.
- To investigate the approximate solutions and iterative structure of the GFNLS using the modified FVIM.
- To compare the efficacy of the modified FVIM against established methods.
Main Methods:
- The study is based on He's variational iteration method.
- A modified fractional variational iteration method (FVIM) is proposed.
- Fractional derivatives are handled in the sense of Caputo.
- Symbolic computation is employed to derive and analyze solutions.
Main Results:
- The modified FVIM successfully constructs approximate solutions for the GFNLS.
- The iterative structure and approximate iterative series of the solutions are investigated.
- Numerical results demonstrate the method's power and reliability.
Conclusions:
- The modified fractional variational iteration method is a powerful, reliable, and effective technique for solving the GFNLS.
- It offers advantages over traditional methods like the homotopy analysis method (HAM), homotopy perturbation method (HPM), Adomian decomposition method (ADM), and variational iteration method (VIM).
- The method provides a robust framework for analyzing fractional Schrödinger equations.
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