放牧
不稳定性
惯性
惯性参考系
理论(学习稳定性)
图案形成
统计物理学
惯性波
扩散
计算机科学
航向(导航)
控制理论(社会学)
生物系统
机械
物理
经典力学
工程类
地理
人工智能
生物
航空航天工程
波传播
控制(管理)
量子力学
林业
机械波
纵波
机器学习
遗传学
热力学
作者
Santanu Bhattacharya,Santu Ghorai,Nandadulal Bairagi
出处
期刊:Chaos
[American Institute of Physics]
日期:2024-12-01
卷期号:34 (12)
摘要
This study expands traditional reaction–diffusion models by incorporating hyperbolic dynamics to explore the effects of inertial delays on pattern formation. The kinetic system considers a harvested predator–prey model where predator and prey populations gather in herds. Diffusion and inertial effects are subsequently introduced. Theoretical frameworks establish conditions for stability, revealing that inertial delay notably alters diffusion-induced instabilities and Hopf bifurcations. The inclusion of inertial effects narrows the stability region of the kinetic system by wave instability, which cannot arise in a two-variable spatiotemporal system without inertia. Computational simulations demonstrate that Turing and wave instabilities lead to diverse spatial and spatiotemporal patterns. This study highlights that initial conditions influence wave instability, generating distinct patterns based on different initial values, while other instabilities remain unaffected. Additionally, patterns, such as hot spots, cold spots, and stripes, are observed within the Turing region. The impact of harvesting on spatiotemporal system stability is also examined, showing that increased harvesting efforts can shift systems between unstable and uniform states. The findings provide practical implications for ecological modeling, offering insights into how inertial delays and harvesting practices affect pattern formation in natural populations.
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