Analysis of fractional model of guava for biological pest control with memory effect

J Adv Res. 2020 Dec 10:32:99-108. doi: 10.1016/j.jare.2020.12.004. eCollection 2021 Sep.

Abstract

Introduction: Fractional operators find their applications in several scientific and engineering processes. We consider a fractional guava fruit model involving a non-local additionally non-singular fractional derivative for the interaction into guava pests and natural enemies. The fractional guava fruit model is considered as a Lotka-Volterra nature.

Objectives: The main objective of this work is to study a guava fruit model associated with a non-local additionally non-singular fractional derivative for the interaction into guava pests and natural enemies.

Methods: Existence and uniqueness analysis of the solution is evaluated effectively by using Picard Lindelof approach. An approximate numerical solution of the fractional guava fruit problem is obtained via a numerical scheme.

Results: The positivity analysis and equilibrium analysis for the fractional guava fruit model is discussed. The numerical results are demonstrated to prove our theoretical results. The graphical behavior of solution of the fractional guava problem at the distinct fractional order values and at various parameters is discussed.

Conclusion: The graphical behavior of solution of the fractional guava problem at the distinct fractional order values and at various parameters shows new vista and interesting phenomena of the model. The results are indicating that the fractional approach with non-singular kernel plays an important role in the study of different scientific problems. The suggested numerical scheme is very efficient for solving nonlinear fractional models of physical importance.

Keywords: Equilibrium points; Existence and uniqueness; Fractional guava model; Guava borers; Prey-predator; Stability analysis.

MeSH terms

  • Animals
  • Humans
  • Models, Theoretical*
  • Numerical Analysis, Computer-Assisted
  • Pest Control, Biological / methods*
  • Predatory Behavior
  • Psidium*