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Numerical method based on the lattice Boltzmann model for the Fisher equation
Guangwu Yan1, Jianying Zhang, Yinfeng Dong
1Department of Mechanics and Engineering Mathematics, College of Mathematics, Jilin University, Changchun 130012, People's Republic of China. yangw@email.jlu.edu.cn
A novel lattice Boltzmann model for the Fisher equation was developed. This model accurately simulates the Fisher equation, showing good agreement with exact solutions for population dynamics.
Area of Science:
- Computational Mathematics
- Mathematical Biology
- Numerical Analysis
Background:
- The Fisher equation is a fundamental model in population dynamics and reaction-diffusion processes.
- Accurate numerical methods are crucial for simulating complex phenomena described by the Fisher equation.
- Existing models may face limitations in handling higher-order dynamics or truncation errors.
Purpose of the Study:
- To propose a new lattice Boltzmann model for solving the Fisher equation.
- To enhance the accuracy and stability of numerical simulations for the Fisher equation.
- To validate the proposed model against exact solutions.
Main Methods:
- Utilizing Chapman-Enskog expansion and multiscale time expansion.
- Deriving higher-order moment equilibrium distribution functions.
- Obtaining a modified partial differential equation for the Fisher equation with higher-order truncation error.
- Implementing the lattice Boltzmann model for numerical simulations.
Main Results:
- The lattice Boltzmann model successfully captures the behavior of the Fisher equation.
- Numerical results demonstrate excellent agreement with the exact analytical solution.
- The model effectively incorporates higher-order truncation error corrections.
Conclusions:
- The proposed lattice Boltzmann model provides an accurate and reliable method for simulating the Fisher equation.
- This approach offers a valuable tool for studying population dynamics and related phenomena.
- The method shows potential for extension to other reaction-diffusion models.
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