2018
DOI: 10.1016/j.cnsns.2018.05.021
|View full text |Cite
|
Sign up to set email alerts
|

Systems of delay differential equations: Analysis of a model with feedback

Abstract: Using topological degree theory, we prove the existence of positive periodic solutions of a system of delay differential equations for models with feedback arising on regulatory mechanisms in which selfregulation is relevant, e.g. in cell physiology. We study different models based on the cycle of testosterone and generalizations. The method in the present work allows to analyze and extend known results from a different perspective, shortening proofs and giving an alternative approach for the study of complex … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 14 publications
0
1
0
Order By: Relevance
“…Owolabi et al (2018) studied the analytical and numerical solutions of a dynamical model comprising three species of systems using the fractional Fourier transform. Alliera and Amster (2018) used the topological degree theory and proved the existence of positive periodic solutions for a system of delay differential equations. Ablinger et al (2019) developed an algorithm to solve analytically linear systems of differential equations that factorize to first order.…”
Section: Introductionmentioning
confidence: 99%
“…Owolabi et al (2018) studied the analytical and numerical solutions of a dynamical model comprising three species of systems using the fractional Fourier transform. Alliera and Amster (2018) used the topological degree theory and proved the existence of positive periodic solutions for a system of delay differential equations. Ablinger et al (2019) developed an algorithm to solve analytically linear systems of differential equations that factorize to first order.…”
Section: Introductionmentioning
confidence: 99%