Effect of fear in a fractional order prey–predator model with time delayed carrying capacity

The Caputo technique is used in this article to analyze the fractional-order predator–prey scenario. Incorporating a delayed carrying capacity for the prey population and posing the impact of individual prey fear on predators are two aspects of this. We first provide the model’s formulation in terms of an integer order derivative, and subsequently we expand it to a fractional order system in terms of the Caputo derivative. The article contains a number of conclusions about the prerequisites for the model’s existence and uniqueness as well as the restrictions on the boundedness and positivity of the solution. To satisfy the requirements for the existence and uniqueness of the precise solution, the Lipschitz condition is applied. Within the local context, we have examined the stability of equilibrium points. Additionally, we investigated whether Hopf bifurcation may occur at the interior equilibrium point of our suggested model. We have used the Generalised Euler technique to approximatively solve the model. The suggested scheme’s dependability is indicated by the fact that the results produced using the current numerical approach converge to equilibrium for the fractional order. For our research, MATLAB was used to enable graphical representations and numerical simulations.

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Publication Details

Journal
Results in Control and Optimization
Published
2025-04-25
DOI
https://doi.org/10.1016/j.rico.2025.100567
Citations
2
Primary Topic
Mathematical and Theoretical Epidemiology and Ecology Models
Type
article
Field-Weighted Citation Impact
3.76
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article

Effect of fear in a fractional order prey–predator model with time delayed carrying capacity

Subhabrata Mondal, Supriya Mukherjee, Animesh Mahata, Banamali Roy et al.
2 citations
Results in Control and Optimization
Mathematical and Theoretical Epidemiology and Ecology Models
3.76
article

Effect of fear in a fractional order prey–predator model with time delayed carrying capacity

Subhabrata Mondal, Supriya Mukherjee, Animesh Mahata, Banamali Roy, Subrata Paul, Premananda Bharati
article en
2 citations

Abstract

The Caputo technique is used in this article to analyze the fractional-order predator–prey scenario. Incorporating a delayed carrying capacity for the prey population and posing the impact of individual prey fear on predators are two aspects of this. We first provide the model’s formulation in terms of an integer order derivative, and subsequently we expand it to a fractional order system in terms of the Caputo derivative. The article contains a number of conclusions about the prerequisites for the model’s existence and uniqueness as well as the restrictions on the boundedness and positivity of the solution. To satisfy the requirements for the existence and uniqueness of the precise solution, the Lipschitz condition is applied. Within the local context, we have examined the stability of equilibrium points. Additionally, we investigated whether Hopf bifurcation may occur at the interior equilibrium point of our suggested model. We have used the Generalised Euler technique to approximatively solve the model. The suggested scheme’s dependability is indicated by the fact that the results produced using the current numerical approach converge to equilibrium for the fractional order. For our research, MATLAB was used to enable graphical representations and numerical simulations.

Results in Control and OptimizationVol. 19
Midnapore Medical College and Hospital (IN), Ramakrishna Mission Vidyamandira (IN), Government of West Bengal (IN), University B.T. & Evening College (IN), Ramakrishna Mission Vivekananda Educational and Research Institute (IN)
Openalex Percentile: Top 8%
Mathematical and Theoretical Epidemiology and Ecology Models
3.76
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