In this paper we study two stochastic chemostat models, with and without wall growth, driven by a white noise. Specifically, we analyze the ex-istence and uniqueness of solutions for these models, as well as the existence of the random attractor associated to the random dynamical system generated by the solution. The analysis will be carried out by means of the well-known Ornstein-Uhlenbeck process, that allows us to transform our stochastic chemo-stat models into random ones.
CITATION STYLE
Caraballo, T., Garrido-Atienza, M. J., & Lopez-de-La-Cruz, J. (2017). Dynamics of some stochastic chemostat models with multiplicative noise. Communications on Pure and Applied Analysis, 16(5), 1893–1914. https://doi.org/10.3934/cpaa.2017092
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