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A random free-boundary diffusive logistic differential model: numerical analysis, computing and simulation

Abstract: A free boundary diffusive logistic model finds application in many different fields from biological invasion to wildfire propagation. However, many of these processes show a random nature and contain uncertainties in the parameters. In this paper we extend the diffusive logistic model with unknown moving front to the random scenario by assuming that the involved parameters have a finite degree of randomness. The resulting mathematical model becomes a random free boundary partial differential problem and it is addressed numerically combining the finite difference method with two approaches for the treatment of the moving front. Firstly, we propose a front-fixing transformation, reshaping the original random free boundary domain into a fixed deterministic one. A second approach is using the front-tracking method to capture the evolution of the moving front adapted to the random framework. Statistical moments of the approximating solution stochastic process and the stochastic moving boundary solution are calculated by the Monte Carlo technique. Qualitative numerical analysis establishes the stability and positivity conditions. Numerical examples are provided to compare both approaches, study the spreading-vanishing dichotomy, prove qualitative properties of the schemes and show the numerical convergence.

 Autoría: Casabán M.C., Company R., Egorova V.N., Jódar L.,

 Fuente: Mathematics and Computers in Simulation, 2024, 221, 55-78

 Editorial: Elsevier

 Fecha de publicación: 01/07/2024

 Nº de páginas: 24

 Tipo de publicación: Artículo de Revista

 DOI: 10.1016/j.matcom.2024.02.016

 ISSN: 0378-4754,1872-7166

 Proyecto español: PID2019-107685RB-I00

 Url de la publicación: https://doi.org/10.1016/j.matcom.2024.02.016

Autoría

CASABÁN BARTUAL, MARÍA CONSUELO

COMPANY ROSSI, RAFAEL

JÓDAR SÁNCHEZ, LUCAS