
arXiv: 2402.00087
We study monotone skew-product semiflows generated by families of nonautonomous neutral functional differential equations with infinite delay and stable D-operator, when the exponential ordering is considered. Under adequate hypotheses of stability for the order on bounded sets, we show that the omega-limit sets are copies of the base to explain the long-term behavior of the trajectories. The application to the study of the amount of material within the compartments of a neutral compartmental system with infinite delay, shows the improvement with respect to the standard ordering.
29 pages. arXiv admin note: text overlap with arXiv:2401.17708
FOS: Mathematics, Nonautonomous Dynamical Systems, Monotone Skew-Product Semiflows, Exponential Ordering, Neutral Functional Differential Equations, Compartmental Systems, Matemáticas: 1202.08 Ecuaciones Funcionales, Dynamical Systems (math.DS), Mathematics - Dynamical Systems, 37B55, 34K40, 34K14
FOS: Mathematics, Nonautonomous Dynamical Systems, Monotone Skew-Product Semiflows, Exponential Ordering, Neutral Functional Differential Equations, Compartmental Systems, Matemáticas: 1202.08 Ecuaciones Funcionales, Dynamical Systems (math.DS), Mathematics - Dynamical Systems, 37B55, 34K40, 34K14
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 8 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
