Geometric structure of stationary problem for spatial 1D self-diffusion equation with logistic growth

Yu ICHIDA

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arXiv · 2509.24752

Geometric structure of stationary problem for spatial 1D self-diffusion equation with logistic growth

Yu ICHIDA

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Abstract

This paper considers the solution structure of non-trivial, non-constant stationary states of 1D spatial parabolic equations with nonlinear self-diffusion and logistic growth terms. A two-dimensional ordinary differential equation satisfying the stationary problem is derived and all its dynamics, including to infinity, is revealed by the Poincar\'e-Lyapunov compactification, one of the compactifications of phase space. The advantage of this method is that it can be used to classify all dynamical systems (especially connecting orbits) of a two-dimensional system including infinity. Therefore, the classification results for the dynamical system including to infinity give the classification results for the non-constant stationary states obtained only from the structure of the original equations. This argument allows us to observe a change in the classification of the non-constant stationary states by an explicit relation between the linear diffusion coefficient and the self-diffusion coefficient, combined with arguments about the symmetries and conserved quantities of the ODEs. This means that changing the self-diffusion coefficient as a bifurcation parameter not only qualitatively changes the dynamical system from a big saddle homoclinic orbit of the ODEs to a heteroclinic orbit that connects the saddle equilibria, but also significantly changes the shape and the properties of the stationary states. It explicitly shows the relationship between linear and self-diffusion, gives a characterization of non-trivial stationary states in terms of dynamical systems, and gives a deep insight into the influence of self-diffusion, one of the nonlinear diffusions.

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BibTeX RIS

Yu ICHIDA. 2025-09-29. Geometric structure of stationary problem for spatial 1D self-diffusion equation with logistic growth. https://arxiv.org/abs/2509.24752

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