2014
DOI: 10.1155/2014/738682
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Stability and Hopf Bifurcation Analysis of a Gene Expression Model with Diffusion and Time Delay

Abstract: We consider a model for gene expression with one or two time delays and diffusion. The local stability and delay-induced Hopf bifurcation are investigated. We also derive the formulas determining the direction and the stability of Hopf bifurcations by calculating the normal form on the center manifold.

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Cited by 7 publications
(3 citation statements)
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“…Furthermore, from Refs. [11,12] we conclude that, if E * is stable when τ = 0, then for τ c given above (a) the equilibrium E * is stable for all 0 τ < τ c , (b) E * is unstable for all τ > τ c , and (c) if Re( dλ k dτ )| τ =τ c > 0, Hopf bifurcation occurs at τ = τ c .…”
Section: A Methods Of Calculating the Critical Time Delaymentioning
confidence: 72%
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“…Furthermore, from Refs. [11,12] we conclude that, if E * is stable when τ = 0, then for τ c given above (a) the equilibrium E * is stable for all 0 τ < τ c , (b) E * is unstable for all τ > τ c , and (c) if Re( dλ k dτ )| τ =τ c > 0, Hopf bifurcation occurs at τ = τ c .…”
Section: A Methods Of Calculating the Critical Time Delaymentioning
confidence: 72%
“…The bifurcation direction can be determined by using the normal form [11]. If we choose the time delay as the control parameter, then from this conclusion, we obtain the so-called Turing space [15][16][17], α > 0, 0 < γ < 1, β 0 < β < β 1 , and τ > τ c in which the Turing instability occurs.…”
Section: The Case With Diffusionmentioning
confidence: 99%
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