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Universal selection of pulled fronts

Montie Avery, Arnd Scheel

2022Communications of the American Mathematical Society26 citationsDOIOpen Access PDF

Abstract

We establish selection of critical pulled fronts in invasion processes as predicted by the marginal stability conjecture. Our result shows convergence to a pulled front with a logarithmic shift for open sets of steep initial data, including one-sided compactly supported initial conditions. We rely on robust, conceptual assumptions, namely existence and marginal spectral stability of a front traveling at the linear spreading speed and demonstrate that the assumptions hold for open classes of spatially extended systems. Previous results relied on comparison principles or probabilistic tools with implied nonopen conditions on initial data and structure of the equation. Technically, we describe the invasion process through the interaction of a Gaussian leading edge with the pulled front in the wake. Key ingredients are sharp linear decay estimates to control errors in the nonlinear matching and corrections from initial data.

Topics & Concepts

Front (military)Marginal stabilityLogarithmStability (learning theory)Convergence (economics)ConjectureNonlinear systemWakeProbabilistic logicGaussianSelection (genetic algorithm)Matching (statistics)Enhanced Data Rates for GSM EvolutionMathematicsMaxima and minimaKey (lock)Computer scienceApplied mathematicsStatistical physicsMathematical analysisPhysicsPure mathematicsInstabilityStatisticsMeteorologyMechanicsArtificial intelligenceEconomicsMachine learningEconomic growthQuantum mechanicsComputer securityNonlinear Dynamics and Pattern FormationMathematical and Theoretical Epidemiology and Ecology ModelsQuantum chaos and dynamical systems
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