Semi-Analytical Solution of a Two-Dimensional Time-Fractional Fisher’s Equation via the Homotopy Analysis Method

This paper presents a semi-analytical solution to the two-dimensional time-fractional Fisher’s equation using the Homotopy Analysis Method (HAM). The governing equation models reaction–diffusion processes with memory effects, incorporating the Caputo fractional derivative to account for anomalous temporal behavior. The HAM framework is constructed by first selecting an appropriate initial guess that satisfies both the initial and boundary conditions, followed by the recursive generation of higher-order approximations. The convergence of the series solution is controlled through the auxiliary parameter $\hbar$, whose optimal value is determined at each time level by enforcing consistency with boundary conditions. The analytical results are validated against numerical simulations, demonstrating excellent agreement. This study highlights the flexibility and efficiency of HAM in handling high-dimensional nonlinear fractional partial differential equations and provides a foundation for extending the method to more complex biological or ecological models.

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Publication Details

Journal
Earthline Journal of Mathematical Sciences
Published
2025-11-10
DOI
https://doi.org/10.34198/ejms.15625.11931201
Primary Topic
Fractional Differential Equations Solutions
Type
article
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article

Semi-Analytical Solution of a Two-Dimensional Time-Fractional Fisher’s Equation via the Homotopy Analysis Method

Ogugua Onyejekwe
Earthline Journal of Mathematical Sciences
Fractional Differential Equations Solutions
article

Semi-Analytical Solution of a Two-Dimensional Time-Fractional Fisher’s Equation via the Homotopy Analysis Method

Ogugua Onyejekwe
article en

Abstract

This paper presents a semi-analytical solution to the two-dimensional time-fractional Fisher’s equation using the Homotopy Analysis Method (HAM). The governing equation models reaction–diffusion processes with memory effects, incorporating the Caputo fractional derivative to account for anomalous temporal behavior. The HAM framework is constructed by first selecting an appropriate initial guess that satisfies both the initial and boundary conditions, followed by the recursive generation of higher-order approximations. The convergence of the series solution is controlled through the auxiliary parameter $\hbar$, whose optimal value is determined at each time level by enforcing consistency with boundary conditions. The analytical results are validated against numerical simulations, demonstrating excellent agreement. This study highlights the flexibility and efficiency of HAM in handling high-dimensional nonlinear fractional partial differential equations and provides a foundation for extending the method to more complex biological or ecological models.

Earthline Journal of Mathematical Sciences
Indian River State College (US)
Openalex Percentile: Top 63%
Fractional Differential Equations Solutions
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Semi-Analytical Solution of a Two-Dimensional Time-Fractional Fisher’s Equation via the Homotopy Analysis Method — Ogugua Onyejekwe · Earthline Journal of Mathematical Sciences (2025) | TGRS Research Map | TGRS