Rajat Kaushik
Regional Institute of Education, National Council of Educational Research and Training, Bhopal, Madhya Pradesh, India.

Chitra Singh
Regional Institute of Education, National Council of Educational Research and Training, 462002, Bhopal, Madhya Pradesh, India.

Saurabh Kumar
Regional Institute of Education, National Council of Educational Research and Training, 462002, Bhopal, Madhya Pradesh, India.

DOI https://doi.org/10.33889/IJMEMS.2026.11.2.025

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Abstract

In natural ecosystems, the timing of daily activity in predator and prey plays a crucial role in determining their encounters and evolutionary outcomes. This study explores how coevolution in circadian activity patterns emerges from the dynamic interplay between predator pursuit and prey avoidance. Using a biologically inspired system of simplified differential equations, we formulate the system that incorporates the activity levels of both prey and predator, integrating factors such as energy demands, predation pressure, and the dynamic synchronization of predator behavior in response to prey activity patterns. In the qualitative analysis, positivity and boundedness, uniform persistence, local and global stability, stochastic p-stability are advocated. This work bridges theoretical ecology and dynamical systems, offering a mechanistic insight into how predator–prey co-adaptation shapes temporal niches and changes their routine activities. The effectiveness of predators as killing machines lies not merely in their physical traits, but in the timing and adaptability of their activities, strategically aligned to exploit prey vulnerability. On the other side, prey craft their activity rhythms to reduce detectability and outmaneuver predators, optimizing escape opportunities, which is indeed the masterpiece of predator-prey evolution and the perilous journey of survival. It provides a quantitative framework for future studies on behavioral evolution in complex environments, emphasizing that the true essence of predator–prey systems lies in understanding and capturing their adaptive activity patterns.

Keywords- Uniform permanence, Boundedness, Local stability, Global stability, Mean square stability.

Citation

Kaushik, R., Singh, C., & Kumar, S. (2026). Predator-prey Activity-Tuned Ecological System: An Exhilarating Rollercoaster of Survival. International Journal of Mathematical, Engineering and Management Sciences, 11(2), 612-633. https://doi.org/10.33889/IJMEMS.2026.11.2.025.