Stability analysis of a three-dimensional system of Topp model with diabetes
Z.S. Boxonov, U.A. Rozikov

TL;DR
This paper analyzes the stability of a three-dimensional Topp model for diabetes, providing insights into its fixed points and stability properties through theoretical and numerical methods.
Contribution
It offers a comprehensive stability analysis of the Topp model's dynamics, including local and global stability, with biological interpretations and numerical validation.
Findings
Identification of invariant positive trajectories
Existence and stability of fixed points
Numerical validation of theoretical results
Abstract
Mathematical models of glucose, insulin, and pancreatic -cell mass dynamics are essential for understanding the physiological basis of type 2 diabetes. This paper investigates the Topp model's discrete-time dynamics to represent these interactions. We perform a comprehensive analysis of the system's trajectory, examining both local and global behavior. First, we establish the invariance of the positive trajectory and analyze the existence of fixed points. Then, we conduct a complete stability analysis, determining the local and global asymptotic stability of these fixed points. Finally, numerical examples validate the effectiveness and applicability of our theoretical findings. Additionally, we provide biological interpretations of our results.
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Taxonomy
TopicsMathematical Biology Tumor Growth · Mathematical and Theoretical Epidemiology and Ecology Models
