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Invasion fronts with variable motility: Phenotype selection, spatial sorting and wave acceleration

Émeric BouinNUMED - Numerical Medicine (Unité de Mathématiques Pures et Appliquées Ecole Normale Supérieure 46 Allée d'Italie 69007 Lyon - France)Vincent CalvezNUMED - Numerical Medicine (Unité de Mathématiques Pures et Appliquées Ecole Normale Supérieure 46 Allée d'Italie 69007 Lyon - France)Nicolas MeunierMAP5 - UMR 8145 - Mathématiques Appliquées Paris 5 (UFR Mathématiques et Informatique, 45 rue des Saints-Pères 75270 PARIS CEDEX 06 - France)Sepideh MirrahimiCMAP - Centre de Mathématiques Appliquées - Ecole Polytechnique (École Polytechnique Route de Saclay 91128 Palaiseau Cedex - France)Benoı̂t PerthameBANG - Nonlinear Analysis for Biology and Geophysical flows (Domaine de Voluceau ; BP 105 ; 78150 Rocquencourt - France)Gaël RaoulCEFE - Centre d’Ecologie Fonctionnelle et Evolutive (1919 route de Mende - 34293 Montpellier cedex 5 - France)Raphaël VoituriezLPTMC - Laboratoire de Physique Théorique de la Matière Condensée (LPTMC, Tour 24, Boîte 121, 4, Place Jussieu, 75252 Paris Cedex 05, France - France)
2012en
ABI

Аннотация

Invasion fronts in ecology are well studied but very few mathematical results concern the case with variable motility (possibly due to mutations). Based on an apparently simple reaction–diffusion equation, we explain the observed phenomena of front acceleration (when the motility is unbounded) as well as other qualitative results, such as the existence of traveling waves and the selection of the most motile individuals (when the motility is bounded). The key argument for constructing and analysing the traveling waves is the derivation of a dispersion relation linking the wave speed and the spatial decay. When the motility is unbounded we show that the position of the front scales as <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" overflow="scroll"> <mml:msup> <mml:mrow> <mml:mi>t</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>3</mml:mn> <mml:mo stretchy="false">/</mml:mo> <mml:mn>2</mml:mn> </mml:mrow> </mml:msup> </mml:math> . When the mutation rate is low we show that the canonical equation for the dynamics of the fittest trait should be stated as a PDE in our context. It turns out to be a type of Burgers equation with a source term.

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