Dynamic analysis of the fractional-order logistic equation with two different delays

Abstract In this paper, we analyze the stability and Hopf bifurcation of the fractional-order logistic equation with two different delays $$\tau _{1}, \tau _{2}&gt;0$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mi>τ</mml:mi> <mml:mn>1</mml:mn> </mml:msub> <mml:mo>,</mml:mo> <mml:msub> <mml:mi>τ</mml:mi> <mml:mn>2</mml:mn> </mml:msub> <mml:mo>&gt;</mml:mo> <mml:mn>0</mml:mn> </mml:mrow> </mml:math> : $$D^{\alpha }y(t)=\rho y(t-\tau _{1})\left( 1-y(t-\tau _{2})\right) $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msup> <mml:mi>D</mml:mi> <mml:mi>α</mml:mi> </mml:msup> <mml:mi>y</mml:mi> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>t</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> <mml:mo>=</mml:mo> <mml:mi>ρ</mml:mi> <mml:mi>y</mml:mi> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>t</mml:mi> <mml:mo>-</mml:mo> <mml:msub> <mml:mi>τ</mml:mi> <mml:mn>1</mml:mn> </mml:msub> <mml:mo>)</mml:mo> </mml:mrow> <mml:mfenced> <mml:mn>1</mml:mn> <mml:mo>-</mml:mo> <mml:mi>y</mml:mi> <mml:mo>(</mml:mo> <mml:mi>t</mml:mi> <mml:mo>-</mml:mo> <mml:msub> <mml:mi>τ</mml:mi> <mml:mn>2</mml:mn> </mml:msub> <mml:mo>)</mml:mo> </mml:mfenced> </mml:mrow> </mml:math> , $$t&gt;0$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>t</mml:mi> <mml:mo>&gt;</mml:mo> <mml:mn>0</mml:mn> </mml:mrow> </mml:math> , $$\rho &gt;0$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>ρ</mml:mi> <mml:mo>&gt;</mml:mo> <mml:mn>0</mml:mn> </mml:mrow> </mml:math> . We describe stability regions by using critical curves. We explore how the fractional order $$\alpha $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>α</mml:mi> </mml:math> , $$\rho $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ρ</mml:mi> </mml:math> , and time delays influence the stability and Hopf bifurcation of the model. Then, by choosing $$\rho $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ρ</mml:mi> </mml:math> , fractional order $$\alpha $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>α</mml:mi> </mml:math> , and time delays as bifurcation parameters, the existence of Hopf bifurcation is studied. An Adams-type predictor–corrector method is extended to solve fractional-order differential equations involving two different delays. Finally, numerical simulations are given to illustrate the effectiveness and feasibility of theoretical results.

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Journal
Computational and Applied Mathematics
Published
2024-08-13
DOI
https://doi.org/10.1007/s40314-024-02877-2
Citations
2
Primary Topic
Fractional Differential Equations Solutions
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article
Field-Weighted Citation Impact
0.79

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article

Dynamic analysis of the fractional-order logistic equation with two different delays

H. A. A. El-Saka, A‎. ‎M‎. ‎A‎. El-Sayed, D. El. A. El-Sherbeny
2 citations
Computational and Applied Mathematics
Fractional Differential Equations Solutions
0.79
article

Dynamic analysis of the fractional-order logistic equation with two different delays

H. A. A. El-Saka, A‎. ‎M‎. ‎A‎. El-Sayed, D. El. A. El-Sherbeny
article en
2 citations

Abstract

Abstract In this paper, we analyze the stability and Hopf bifurcation of the fractional-order logistic equation with two different delays $$\tau _{1}, \tau _{2}&gt;0$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mi>τ</mml:mi> <mml:mn>1</mml:mn> </mml:msub> <mml:mo>,</mml:mo> <mml:msub> <mml:mi>τ</mml:mi> <mml:mn>2</mml:mn> </mml:msub> <mml:mo>&gt;</mml:mo> <mml:mn>0</mml:mn> </mml:mrow> </mml:math> : $$D^{\alpha }y(t)=\rho y(t-\tau _{1})\left( 1-y(t-\tau _{2})\right) $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msup> <mml:mi>D</mml:mi> <mml:mi>α</mml:mi> </mml:msup> <mml:mi>y</mml:mi> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>t</mml:mi> <mml:mo>)</mml:mo> </mml:mrow> <mml:mo>=</mml:mo> <mml:mi>ρ</mml:mi> <mml:mi>y</mml:mi> <mml:mrow> <mml:mo>(</mml:mo> <mml:mi>t</mml:mi> <mml:mo>-</mml:mo> <mml:msub> <mml:mi>τ</mml:mi> <mml:mn>1</mml:mn> </mml:msub> <mml:mo>)</mml:mo> </mml:mrow> <mml:mfenced> <mml:mn>1</mml:mn> <mml:mo>-</mml:mo> <mml:mi>y</mml:mi> <mml:mo>(</mml:mo> <mml:mi>t</mml:mi> <mml:mo>-</mml:mo> <mml:msub> <mml:mi>τ</mml:mi> <mml:mn>2</mml:mn> </mml:msub> <mml:mo>)</mml:mo> </mml:mfenced> </mml:mrow> </mml:math> , $$t&gt;0$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>t</mml:mi> <mml:mo>&gt;</mml:mo> <mml:mn>0</mml:mn> </mml:mrow> </mml:math> , $$\rho &gt;0$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>ρ</mml:mi> <mml:mo>&gt;</mml:mo> <mml:mn>0</mml:mn> </mml:mrow> </mml:math> . We describe stability regions by using critical curves. We explore how the fractional order $$\alpha $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>α</mml:mi> </mml:math> , $$\rho $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ρ</mml:mi> </mml:math> , and time delays influence the stability and Hopf bifurcation of the model. Then, by choosing $$\rho $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>ρ</mml:mi> </mml:math> , fractional order $$\alpha $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>α</mml:mi> </mml:math> , and time delays as bifurcation parameters, the existence of Hopf bifurcation is studied. An Adams-type predictor–corrector method is extended to solve fractional-order differential equations involving two different delays. Finally, numerical simulations are given to illustrate the effectiveness and feasibility of theoretical results.

Computational and Applied MathematicsVol. 43(6)
Damietta University (EG), Alexandria University (EG)
Science and Technology Development Fund
Openalex Percentile: Top 31%
Fractional Differential Equations Solutions
0.79
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