2015
DOI: 10.4310/cms.2015.v13.n6.a4
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A Hamilton–Jacobi approach for a model of population structured by space and trait

Abstract: We study a non-local parabolic Lotka-Volterra type equation describing a population structured by a space variable x ∈ R d and a phenotypical trait θ ∈ Θ. Considering diffusion, mutations and space-local competition between the individuals, we analyze the asymptotic (longtime/long-range in the x variable) exponential behavior of the solutions. Using some kind of real phase WKB ansatz, we prove that the propagation of the population in space can be described by a Hamilton-Jacobi equation with obstacle which is … Show more

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Cited by 40 publications
(46 citation statements)
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“…We are interested in the asymptotic behaviour of the trait distribution F ε as ε vanishes. This asymptotic regime was investigated thoroughly for various linear operators B ε associated with asexual reproduction such as for instance the diffusion operator F ε (z)+ε 2 ∆F ε (z), or the convolution operator 1 ε K( z ε ) * F ε (z) where K is a probability kernel with unit variance, see Diekmann et al (2005); Perthame (2007); Barles and Perthame (2007); Barles et al (2009) ;Lorz et al (2011) for the earliest investigations, see further Méléard and Mirrahimi (2015); Mirrahimi (2018); Bouin et al (2018b) for the case of a fractional diffusion operator (or similarly a fat-tailed kernel K), and see further Mirrahimi (2013); Mirrahimi and Perthame (2015); Bouin and Mirrahimi (2015); Lam and Lou (2017); Gandon and Mirrahimi (2017); Mirrahimi (2017); Mirrahimi and Gandon (2018); for the interplay between evolutionary dynamics and a spatial structure. In the linear case, the asymptotic analysis usually leads to a Hamilton-Jacobi equation for the Hopf-Cole transform U ε = −ε log F ε .…”
Section: Introductionmentioning
confidence: 99%
“…We are interested in the asymptotic behaviour of the trait distribution F ε as ε vanishes. This asymptotic regime was investigated thoroughly for various linear operators B ε associated with asexual reproduction such as for instance the diffusion operator F ε (z)+ε 2 ∆F ε (z), or the convolution operator 1 ε K( z ε ) * F ε (z) where K is a probability kernel with unit variance, see Diekmann et al (2005); Perthame (2007); Barles and Perthame (2007); Barles et al (2009) ;Lorz et al (2011) for the earliest investigations, see further Méléard and Mirrahimi (2015); Mirrahimi (2018); Bouin et al (2018b) for the case of a fractional diffusion operator (or similarly a fat-tailed kernel K), and see further Mirrahimi (2013); Mirrahimi and Perthame (2015); Bouin and Mirrahimi (2015); Lam and Lou (2017); Gandon and Mirrahimi (2017); Mirrahimi (2017); Mirrahimi and Gandon (2018); for the interplay between evolutionary dynamics and a spatial structure. In the linear case, the asymptotic analysis usually leads to a Hamilton-Jacobi equation for the Hopf-Cole transform U ε = −ε log F ε .…”
Section: Introductionmentioning
confidence: 99%
“…Since the linearizations of (1.6) and (1.7) are identical, we expect both models to have the same propagation speed. Models involving non-local reaction terms have been the subject of intense study in recent years due to the complexity of the dynamics -see, for example, [2,11,17,25,30,31] and references therein. The cane toads equation has similarly attracted recent interest, mostly when the motility set Θ is a finite interval.…”
Section: Introductionmentioning
confidence: 99%
“…To answer these questions, we focus on a cane-toad equation with mortality trade-off. This is a non-local reaction-diffusion-mutation equation that is a refinement of the now standard cane-toad equation proposed in [5] and investigated in [7,9,12,13,34] (see also [3,14,15,25,30] for a similar studies). We now introduce this model.…”
Section: Model and Biological Backgroundmentioning
confidence: 99%