Theoretical analysis reveals that advection enhances pattern regularity in the Gierer-Meinhardt system, suggesting new insights for biological modeling.
Gierer-Meinhardt system is a mathematical model commonly used to describe chemical and biological phenomena, specifically the interaction between two types of molecules: activator and inhibitor. Diffusion reactions are processes where chemical molecules move from areas of high concentration to areas of low concentration randomly. In this research, the Gierer Meinhardt system with advection components is considered. The mathematical model developed consists of partial differential equations (PDE) for two variables, namely the activator and the inhibitor, with the addition of an advection component that depends on the flow speed. Studies show that the presence of advection significantly affects the characteristics of the patterns formed. Advection reactions cause more regular and oriented patterns compared to patterns produced only by diffusion. This research uses theoretical analysis methods and literature studies to analyze the impact of advection-diffusion reactions on the Gierer Meinhardt system. In this research, it is concluded that the equilibrium point which was initially stable when becomes stable only when and .
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Trynita et al. (2025) studied this question.
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