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<p>Many mathematical models for biological phenomena, such as the spread of diseases, are based on reaction–diffusion equations for densities of interacting cell populations. We present a consistent derivation of reaction–diffusion equations from systems of suitably rescaled kinetic equations for distribution functions of cell populations interacting in a host medium. We show at first that the classical diffusive limit of kinetic equations leads to linear diffusion terms only. Then, we show possible strategies in order to obtain, from the kinetic level, macroscopic systems with nonlinear diffusion and also with cross-diffusion effects. The derivation from a kinetic description has the advantage of relating reaction and diffusion coefficients to the microscopic parameters of the interactions. We present an application of our approach to the study of the evolution of different bacterial populations on a leaf surface. Turing instability properties of the relevant macroscopic systems are investigated by analytical methods and numerical tools, with particular emphasis on pattern formation for varying parameters in two-dimensional space domains.</p>

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Reaction–Diffusion Systems from Kinetic Models for Bacterial Communities on a Leaf Surface

  • 期刊论文

  • 发表日期：

    2026年1月25日

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  • Marzia Bisi,
  • Davide Cusseddu,
  • Ana Jacinta Soares,
  • Romina Travaglini

摘要

Many mathematical models for biological phenomena, such as the spread of diseases, are based on reaction–diffusion equations for densities of interacting cell populations. We present a consistent derivation of reaction–diffusion equations from systems of suitably rescaled kinetic equations for distribution functions of cell populations interacting in a host medium. We show at first that the classical diffusive limit of kinetic equations leads to linear diffusion terms only. Then, we show possible strategies in order to obtain, from the kinetic level, macroscopic systems with nonlinear diffusion and also with cross-diffusion effects. The derivation from a kinetic description has the advantage of relating reaction and diffusion coefficients to the microscopic parameters of the interactions. We present an application of our approach to the study of the evolution of different bacterial populations on a leaf surface. Turing instability properties of the relevant macroscopic systems are investigated by analytical methods and numerical tools, with particular emphasis on pattern formation for varying parameters in two-dimensional space domains.