2012
DOI: 10.1016/j.jmaa.2012.02.012
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Hopf bifurcation and steady-state bifurcation for an autocatalysis reaction–diffusion model

Abstract: We focus on the qualitative analysis of a reaction-diffusion with spatial heterogeneity. The system is a generalization of the well known FitzHugh-Nagumo system in which the excitability parameter is space dependent. This heterogeneity allows to exhibit concomitant stationary and oscillatory phenomena. We prove the existence of an Hopf bifurcation and determine an equation of the center-manifold in which the solution asymptotically evolves. Numerical simulations illustrate the phenomenon.

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Cited by 33 publications
(12 citation statements)
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“…From Theorem 2.1 in [11] and Theorem 3.1 in [10] we obtain the following results on system (2) without delayed feedback (τ = 0).…”
Section: Stability Analysismentioning
confidence: 83%
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“…From Theorem 2.1 in [11] and Theorem 3.1 in [10] we obtain the following results on system (2) without delayed feedback (τ = 0).…”
Section: Stability Analysismentioning
confidence: 83%
“…In addition, the authors also derived the conditions for the occurrence of Turing instability. In [10], Guo et al supplemented and improved the results in [11] and further established the Turing instability region determined by diffusion coefficients. In addition, the authors discussed the effect of diffusion coefficients on the existence of Hopf bifurcation.…”
Section: Introductionmentioning
confidence: 96%
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“…In recent years, many researchers studied reactiondiffusion systems in point of bifurcation [13][14][15][16][17][18][19][20][21][22][23][24][25]. The aim of this paper is to study the stability and Hopf bifurcation of the system (1.6).…”
Section: Introductionmentioning
confidence: 99%
“…The diffusion-driven instability of the equilibrium leads to a spatially inhomogeneous distribution of species concentration, which is the so-called Turing instability. Although Turing instability was first investigated in a morphogenesis, it has quickly spread to ecological systems [3,4,6,[13][14][15][16][17][18][19][20][21][22][23][24], chemical reaction system [25][26][27][28][29][30] and other reaction-diffusion system [31][32][33][34][35][36][37][38]. From [39], we know that the phenomenon of spatial pattern formation in (1) with diffusion can not occur under all possible diffusion rates.…”
mentioning
confidence: 99%