2017
DOI: 10.3934/dcds.2017020
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Monotone dynamical systems: Reflections on new advances & applications

Abstract: The article contains the author's reflections on recent developments in a very select portion of the now vast subject of monotone dynamical systems. Continuous time systems generated by cooperative systems of ordinary differential equations, delay differential equations, parabolic partial differential equations, and control systems are the main focus and results are included which the author feels have had a major impact in the applications. These include the theory of competition between two species or two te… Show more

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Cited by 40 publications
(35 citation statements)
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References 88 publications
(142 reference statements)
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“…We start by recalling that a dynamical system is called monotone when the flow generated by this system preserves some partial order 25 . Therefore, the first step is to formally define a partial order induced by a convex cone Kdouble-struckR2 that is typically a quadrant of R2 for bidimensional dynamical systems 23,31 . Given two elements boldz1=false(x1,y1false)K and boldz2=false(x2,y2false)K, we determine the order relationship as follows:…”
Section: Monotonicity Of the Reduced Modelmentioning
confidence: 99%
“…We start by recalling that a dynamical system is called monotone when the flow generated by this system preserves some partial order 25 . Therefore, the first step is to formally define a partial order induced by a convex cone Kdouble-struckR2 that is typically a quadrant of R2 for bidimensional dynamical systems 23,31 . Given two elements boldz1=false(x1,y1false)K and boldz2=false(x2,y2false)K, we determine the order relationship as follows:…”
Section: Monotonicity Of the Reduced Modelmentioning
confidence: 99%
“…We introduce a special cone K involving cumulative distributions of the population densities, and a generalized notion of super-and subsolutions of (1.1)-(1.4), where the differential inequalities hold in the sense of the cone K. A comparison principle is then established for the super-and subsolutions, which implies the monotonicity of the semiflow of (1.1)-(1.4) with respect to the cone K (Theorem 2.1). From a theoretical point of view, this paper introduces a new class of reaction-diffusion models with order-preserving property, which may be of independent interest[35].A first application of the monotonicity result yields a simple proof of the existence and global attractivity of the unique positive steady state (or time-periodic solution) to the single species problem (Proposition 3.11). A second application concerns the dynamics of two competing phytoplankton species, as modeled by (1.1)-(1.4), in which sufficient conditions for local (Propositions 4.5 and 4.6) and global stability of semitrivial steady states (Theorems 2.2-2.4) are obtained.…”
mentioning
confidence: 99%
“…Proof By substituting bold-italicL=P1boldΥfalse⇒boldΥ=PL in (65) and using the Schur complement [87], one gets ][1em4ptAeTbold-italicPAe+Inbold-italicPBeTbold-italicPAeBeTbold-italicPAeγ2Iw+v, which is equal to (64) according to the bounded real lemma [73] and is bounded‐input‐bounded‐output (BIBO) stable by Rugh and Rugh [90]. Moreover Ged(z)<γ, which implies et is bounded.…”
Section: Design Of Interval Observers For Uncertain Systemsmentioning
confidence: 99%