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Gonzalo Galiano

Publications and source records attributed to Gonzalo Galiano.

20 records · Page 2Linked to original sources

Deterministic particle method approximation of a contact inhibition cross-diffusion problem

We use a deterministic particle method to produce numerical approximations to the solutions of an evolution cross-diffusion problem for two populations. According to the values of the diffusion parameters related to the intra and inter-population repulsion intensities, the system may be classified in terms of an associated matrix. When the matrix is definite positive, the problem is well posed and the Finite Element approximation produces convergent approximations to the exact solution. A particularly important case arises when the matrix is only positive semi-definite and the initial data are segregated: the contact inhibition problem. In this case, the solutions may be discontinuous and hence the (conforming) Finite Element approximation may exhibit instabilities in the neighborhood of the discontinuity. In this article we deduce the particle method approximation to the general cross-diffusion problem and apply it to the contact inhibition problem. We then provide some numerical experiments comparing the results produced by the Finite Element and the particle method discretizations.

math.NA↗

On a singular perturbation problem arising in the theory of Evolutionary Distributions

Evolution by Natural Selection is a process by which progeny inherit some properties from their progenitors with small variation. These properties are subject to Natural Selection and are called adaptive traits and carriers of the latter are called phenotypes. The distribution of the density of phenotypes in a population is called Evolutionary Distributions (ED). We analyze mathematical models of the dynamics of a system of ED. Such systems are anisotropic in that diffusion of phenotypes in each population (equation) remains positive in the directions of their own adaptive space and vanishes in the directions of the other's adaptive space. We prove that solutions to such systems exist in a sense weaker than the usual. We develop an algorithm for numerical solutions of such systems. Finally, we conduct numerical experiments---with a model in which populations compete---that allow us to observe salient attributes of a specific system of ED.

math.AP↗