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Updated: Jul 28, 2025

A Real-Time Interactive System for Studying Confrontational Pursuit Behavior in Rodents
Published on: May 16, 2025
Exploration on dynamics in a discrete predator-prey competitive model involving feedback controls
Changjin Xu1, Xiaohan Cui2, Peiluan Li3
1Guizhou Key Laboratory of Economics System Simulation, Guizhou University of Finance and Economics, Guiyang, People's Republic of China.
This study introduces a new discrete predator-prey model with time-varying delays and feedback controls. We established conditions for the model
Area of Science:
- Mathematical Biology
- Ecology
- Dynamical Systems
Background:
- Predator-prey models are crucial for understanding ecological dynamics.
- Time-varying delays and feedback controls introduce complex behaviors in ecological systems.
- Discrete models offer a framework for analyzing population dynamics over time intervals.
Purpose of the Study:
- To develop a new discrete predator-prey competitive model incorporating time-varying delays and feedback controls.
- To derive conditions ensuring the permanence of the established model.
- To investigate the existence and global attractiveness of periodic solutions.
Main Methods:
- Utilizing difference inequality knowledge to establish permanence conditions.
- Applying mathematical analysis to prove the existence and global attractiveness of periodic solutions.
- Employing computer simulations for verification of theoretical results.
Main Results:
- A sufficient condition for the permanence of the discrete predator-prey competitive model with time-varying delays and feedback controls was derived.
- Under specific parameter conditions, the existence and global attractiveness of the periodic solution (without delay) were proven.
- Numerical simulations confirmed the theoretical findings.
Conclusions:
- The study successfully established a new discrete predator-prey model with complex dynamics.
- The derived conditions provide theoretical guarantees for population persistence.
- The findings offer novel insights and complement existing knowledge in ecological modeling.
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