2016
DOI: 10.1016/j.jfa.2015.10.016
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Existence and uniqueness theorem on mild solutions to the Keller–Segel system coupled with the Navier–Stokes fluid

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Cited by 108 publications
(58 citation statements)
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“…In contrast to (1), in the classical Keller-Segel system the chemoattractant is produced by the bacteria themselves and not consumed (accounting for terms +n−c in place of −nc in the second equation of (1)), and models of Keller-Segel-Stokes type have also been considered ( [40,3]). In Ω = R 3 , mild solutions to a system encompassing both mechanisms at the same time were proven to exist under a smallness condition on initial data ( [20]). Chemotaxis fluid models including logistic growth (κ, µ > 0) have been treated in [38,33,36,43,4].…”
Section: Introductionmentioning
confidence: 99%
“…In contrast to (1), in the classical Keller-Segel system the chemoattractant is produced by the bacteria themselves and not consumed (accounting for terms +n−c in place of −nc in the second equation of (1)), and models of Keller-Segel-Stokes type have also been considered ( [40,3]). In Ω = R 3 , mild solutions to a system encompassing both mechanisms at the same time were proven to exist under a smallness condition on initial data ( [20]). Chemotaxis fluid models including logistic growth (κ, µ > 0) have been treated in [38,33,36,43,4].…”
Section: Introductionmentioning
confidence: 99%
“…for all s ∈ (s 0 , T max ). Thus, combination of (13) with (15) and (16) yields that there is a constant…”
Section: Boundedness: Proof Of Theorem 11mentioning
confidence: 99%
“…Chemotaxis-fluid systems describing a signal being produced by the cells themselves, as with the Keller-Segel type choice g(n, c) = +n − c, up to now have been studied in much fewer works. Global solutions were found to exist in a whole-space setting in the sense of mild solutions [19], in systems with sensitivity functions that obey an estimate of the form χ(n, c) ≤ (1 + n) −α for some α > 0 ( [34,36]), in the presence of additional logistic source terms ( [31]), nonlinear diffusion ( [23]) or for sublinear signal production, that is, g generalizing g(n, c) = n α − c for some α ∈ (0, 1) ([3]).…”
Section: Chemotaxis-fluid Modelsmentioning
confidence: 99%