Geodesic
A finite volume method for nonlocal competition-mutation equations with a gradient flow structure
Cai, Wenli1 ; Liu, Hailiang2
1 Department of Mathematics, China University of Mining and Technology, Beijing 100083, P.R. China.
2 Department of Mathematics, Iowa State University, Ames, IA 50011, USA.
ESAIM: Mathematical Modelling and Numerical Analysis , Tome 51 (2017) no. 4, pp. 1223-1243

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In this paper, we design, analyze and numerically validate energy dissipating finite volume schemes for a competition-mutation equation with a gradient flow structure. The model describes the evolution of a population structured with respect to a continuous trait. Both semi-discrete and fully discrete schemes are demonstrated to satisfy the two desired properties: positivity of numerical solutions and energy dissipation. These ensure that the positive steady state is asymptotically stable. Moreover, the discrete steady state is proven to be the same as the minimizer of a discrete energy function. As a comparison, the positive steady state can also be produced by a nonlinear programming solver. Finally, a series of numerical tests is provided to demonstrate both accuracy and the energy dissipation property of the numerical schemes. The numerical solutions of the model with small mutation are shown to be close to those of the corresponding model with linear competition.

Reçu le :
Accepté le :
DOI : 10.1051/m2an/2016058
Classification : 35B40, 65M08, 92D15
Keywords: Selection-mutation dynamics, evolutionary stable distribution, energy dissipation

Cai, Wenli 1 ; Liu, Hailiang 2

1 Department of Mathematics, China University of Mining and Technology, Beijing 100083, P.R. China.
2 Department of Mathematics, Iowa State University, Ames, IA 50011, USA. 
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     title = {A finite volume method for nonlocal competition-mutation equations with a gradient flow structure},
     journal = {ESAIM: Mathematical Modelling and Numerical Analysis },
     pages = {1223--1243},
     publisher = {EDP-Sciences},
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Cai, Wenli; Liu, Hailiang. A finite volume method for nonlocal competition-mutation equations with a gradient flow structure. ESAIM: Mathematical Modelling and Numerical Analysis , Tome 51 (2017) no. 4, pp. 1223-1243. doi: 10.1051/m2an/2016058

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