Analysis of a Nonlinear Mathematical Model Related to Type 1 Diabetes and Growth Hormone

Authors

  • Erick Vazquez Perez CITEDI https://orcid.org/0009-0007-6071-8785
  • Diana Gamboa Instituto Tecnológico de Tijuana, Tecnológico Nacional de México, Blvd. Industrial 18881, Cd Industrial, 22430, Tijuana, Baja California, México
  • Konstantin Starkov Centro de Investigación y Desarrollo de Tecnología Digital, Instituto Politécnico Nacional, Instituto Politécnico Nacional 1310, 22430, Tijuana, Baja California, México

DOI:

https://doi.org/10.66131/JDSC12202628-36

Keywords:

Diabetes, Beta Cells, Growth Hormone, Glucose, Compact Invariant Sets

Abstract

In this work, a model of nonlinear ordinary differential equations is studied, this model describes the dynamics between beta cells and the somatotropin hormone, better known as growth hormone. Through the Localization of Invariant Compact Sets (LICS) method, a bounded positive invariant domain is established. The objective of the present analysis is to demonstrate the associated effects of growth hormone on glucose variation in the human body. The importance of using mathematical models in this disease lies in the fact that it offers the advantage of helping to understand the evolution of this disease in different scenarios.

Author Biography

Erick Vazquez Perez, CITEDI

Postgraduate student in Digital Systems Sciences at the Centro de Investigación y Desarrollo de Tecnología Digital (CITEDI) of the Instituto Politécnico Nacional (IPN). Focus area: Mathematical Medicine.   Electronics Engineering graduate with a Mechatronics specialty from Instituto Tecnológico de Tijuana (ITT).

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Additional Files

Published

2026-06-30

How to Cite

Vazquez Perez, E., Gamboa, D., & Starkov, K. (2026). Analysis of a Nonlinear Mathematical Model Related to Type 1 Diabetes and Growth Hormone. Journal of Dynamical Systems and Complexity , 1(2), 28–36. https://doi.org/10.66131/JDSC12202628-36

Issue

Section

Applied Mathematics and Interdisciplinary Applications