Convolution Representation of Traveling Pulses in Reaction‐Diffusion Systems

Satoshi Kawaguchi

Advances in Mathematical Physics, 2023, vol. 2023, issue 1

Abstract: Convolution representation manifests itself as an important tool in the reduction of partial differential equations. In this study, we consider the convolution representation of traveling pulses in reaction‐diffusion systems. Under the adiabatic approximation of inhibitor, a two‐component reaction‐diffusion system is reduced to a one‐component reaction‐diffusion equation with a convolution term. To find the traveling speed in a reaction‐diffusion system with a global coupling term, the stability of the standing pulse and the relation between traveling speed and bifurcation parameter are examined. Additionally, we consider the traveling pulses in the kernel‐based Turing model. The stability of the spatially homogeneous state and most unstable wave number are examined. The practical utilities of the convolution representation of reaction‐diffusion systems are discussed.

Date: 2023
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https://doi.org/10.1155/2023/1410642

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Persistent link: https://EconPapers.repec.org/RePEc:wly:jnlamp:v:2023:y:2023:i:1:n:1410642

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