2016
DOI: 10.1016/j.jde.2015.12.038
|View full text |Cite
|
Sign up to set email alerts
|

A differential equation with state-dependent delay from cell population biology

Abstract: Abstract. We analyze a differential equation with a state-dependent delay that is implicitly defined via the solution of an ODE. The equation describes an established though little analyzed cell population model. Based on theoretical results of Hartung, Krisztin, Walther and Wu we elaborate conditions for the model ingredients, in particular vital rates, that guarantee the existence of a local semiflow. Here proofs are based on implicit function arguments. To show global existence, we adapt a theorem from a cl… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
24
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
9

Relationship

1
8

Authors

Journals

citations
Cited by 25 publications
(24 citation statements)
references
References 22 publications
0
24
0
Order By: Relevance
“…This can be argued successfully, for example, in machining when the tool has nearly infinite stiffness perpendicular to the cutting direction [75], or in laser dynamics where light travels over a fixed distance [40]. On the other hand, in many contexts, including in biological systems and in control problems [9,10,11,21,36,38,68,82], the delays one encounters are not actually constant. In particular, they may depend on the state in a significant way, that is, change dynamically during the time-evolution of the system.…”
mentioning
confidence: 99%
“…This can be argued successfully, for example, in machining when the tool has nearly infinite stiffness perpendicular to the cutting direction [75], or in laser dynamics where light travels over a fixed distance [40]. On the other hand, in many contexts, including in biological systems and in control problems [9,10,11,21,36,38,68,82], the delays one encounters are not actually constant. In particular, they may depend on the state in a significant way, that is, change dynamically during the time-evolution of the system.…”
mentioning
confidence: 99%
“…The statement of Theorem 3.1 consists of three parts and we show them in a series of propositions. But before doing so, we prove the following auxiliary result which is of similar type as Theorem 1.6 in Getto & Waurick [4]: Proposition 3.3. Given f as in Theorem 1.1, there is some b > 0 such that if ϕ ∈ X f and if the associated solution x ϕ : [−h, t + (ϕ)) → R n of Eq.…”
Section: Local Center and Center-unstable Manifoldsmentioning
confidence: 86%
“…(2011). Here we consider a slightly adapted SD-DDE formulation derived by Getto and Waurick (2016) (see again Sect. 2).…”
Section: Introductionmentioning
confidence: 99%