Bifurcation Analysis in Multi-Species Reaction–Convection–Diffusion Systems Under Nonlinear Boundary Constraints

In this paper, we establish a bifurcation framework for a multi-species reaction–diffusion–advection system with nonlinear boundary constraints, revealing two fundamental pattern-generation mechanisms: (i) flow-velocity-triggered symmetry breaking and (ii) boundary-mediated Turing instability. Through Crandall–Rabinowitz theory combined with spectral graph analysis, we prove that advection-diffusion coupling governs pattern selection, while Lyapunov–Schmidt reduction derives universal equations for nascent patterns. Crucially, nonlinear boundary interactions are shown to induce hybrid patterns unobtainable in classical boundary-value systems. Stability analysis demonstrates non-monotonic dependence on advection strength and boundary sensitivity parameters, resolving paradoxical stabilization phenomena in ecological flows. These results provide a mathematical foundation for predicting spatial segregation patterns in advection-dominated ecosystems.

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Publication Details

Journal
International Journal of Biomathematics
Published
2025-07-05
DOI
https://doi.org/10.1142/s1793524525500688
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
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article

Bifurcation Analysis in Multi-Species Reaction–Convection–Diffusion Systems Under Nonlinear Boundary Constraints

Yanqiu Li, Yiwen Zhang
International Journal of Biomathematics
Mathematical and Theoretical Epidemiology and Ecology Models
article

Bifurcation Analysis in Multi-Species Reaction–Convection–Diffusion Systems Under Nonlinear Boundary Constraints

Yanqiu Li, Yiwen Zhang
article en

Abstract

In this paper, we establish a bifurcation framework for a multi-species reaction–diffusion–advection system with nonlinear boundary constraints, revealing two fundamental pattern-generation mechanisms: (i) flow-velocity-triggered symmetry breaking and (ii) boundary-mediated Turing instability. Through Crandall–Rabinowitz theory combined with spectral graph analysis, we prove that advection-diffusion coupling governs pattern selection, while Lyapunov–Schmidt reduction derives universal equations for nascent patterns. Crucially, nonlinear boundary interactions are shown to induce hybrid patterns unobtainable in classical boundary-value systems. Stability analysis demonstrates non-monotonic dependence on advection strength and boundary sensitivity parameters, resolving paradoxical stabilization phenomena in ecological flows. These results provide a mathematical foundation for predicting spatial segregation patterns in advection-dominated ecosystems.

International Journal of Biomathematics
Shanghai Institute of Technology (CN)
Openalex Percentile: Top 77%
Mathematical and Theoretical Epidemiology and Ecology Models
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