Dynamics of fractional-order delay differential model for tumor-immune system

F. A. Rihan, G. Velmurugan

Research output: Contribution to journalArticlepeer-review

36 Citations (Scopus)

Abstract

Time-delays and fractional-order play a vital role in modeling biological systems with memory. In this paper, we propose a novel delay differential model with fractional-order for tumor immune system with external treatments. Non-negativity of the solution of such model has been investigated. We investigate the necessary and sufficient conditions for stability of the steady states and Hopf bifurcation with respect to two differenttumor time-delays τ1 and τ2. The occurrence of Hopf bifurcation is captured when any of the time-delay passes through critical value τ1 *, or τ2 *. Theoretical results are validated numerically by solving the governing system, using the modified Adams–Bashforth–Moulton predictor-corrector scheme. Our findings show that the combination of fractional-order derivative and time-delay in the model improves the dynamics and increases complexity of the model.

Original languageEnglish
Article number109592
JournalChaos, Solitons and Fractals
Volume132
DOIs
Publication statusPublished - Mar 2020

Keywords

  • Fractional-order
  • Hopf bifurcation
  • Nonlinear models and systems
  • Stability
  • Time-delays
  • Tumor-immune system

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Mathematics(all)
  • Physics and Astronomy(all)
  • Applied Mathematics

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