2011
DOI: 10.1002/mma.1475
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On the well-posedness of a mathematical model of quorum-sensing in patchy biofilm communities

Abstract: We analyze a system of reaction-diffusion equations that models quorum-sensing in a growing biofilm. The model comprises two nonlinear diffusion effects: a porous medium-type degeneracy and super diffusion. We prove the wellposedness of the model. In particular, we present for the first time a uniqueness result for this type of problem. Moreover, we illustrate the behavior of model solutions in numerical simulations.

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Cited by 16 publications
(29 citation statements)
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“…In and , the behavior of solutions was studied in numerical simulations and the existence of solutions was established, but the question of uniqueness of solutions remained unanswered in both cases. The first uniqueness result for multispecies models was obtained in .…”
Section: Multicomponent Biofilm Modelsmentioning
confidence: 99%
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“…In and , the behavior of solutions was studied in numerical simulations and the existence of solutions was established, but the question of uniqueness of solutions remained unanswered in both cases. The first uniqueness result for multispecies models was obtained in .…”
Section: Multicomponent Biofilm Modelsmentioning
confidence: 99%
“…Using the known results for the prototype model, a different approach than for the previous multicomponent models was developed in , which led to a uniqueness result for the solutions. The following theorem states the well‐posedness of the quorum sensing model (Theorems 3.5 and 3.11; ). Theorem Let the initial data satisfy X0,Y0,A0H01(normalΩ), S 0 ∈ H 1 (Ω) such that S 0 | ∂ Ω =1, and 0S0,X0,Y0,A011emin1emnormalΩ,2emX0+Y0L(normalΩ)<1. Then, there exists a unique global solution of the quorum sensing model , A,S,X,YC([0,);L2(normalΩ))L(normalΩ×[0,)),A,SL2((0,);H1(normalΩ)),D(M)X,1emD(M)YL2((0,);L2(normalΩ;Rn)), the functions A , S , X and Y are nonnegative and satisfy system in distributional sense.…”
Section: Multicomponent Biofilm Modelsmentioning
confidence: 99%
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