Nonlinear Dyn
DOI 10.1007/s11071-014-1772-8
ORIGINAL PAPER
Hopf bifurcations in Lengyel–Epstein reaction–diffusion
model with discrete time delay
H. Merdan · ¸ S. Kayan
Received: 26 April 2014 / Accepted: 22 October 2014
© Springer Science+Business Media Dordrecht 2014
Abstract We investigate bifurcations of the Lengyel–
Epstein reaction–diffusion model involving time delay
under the Neumann boundary conditions. Choosing the
delay parameter as a bifurcation parameter, we show
that Hopf bifurcation occurs. We also determine two
properties of the Hopf bifurcation, namely direction
and stability, by applying the normal form theory and
the center manifold reduction for partial functional dif-
ferential equations.
Keywords Lengyel–Epstein reaction–diffusion
model · Hopf bifurcation · Stability · Time delay ·
Periodic solutions
1 Introduction
In this paper, we consider the following reaction–
diffusion model with time delay under the Neumann
boundary conditions
H. Merdan (B) · ¸ S. Kayan
Department of Mathematics, Faculty of Science and
Letters, TOBB University of Economics and Technology,
Sö˘ gütözü Cad. No 43., 06560 Ankara, Turkey
e-mail: merdan@etu.edu.tr
¸ S. Kayan
Department of Mathematics and Computer Sciences,
Faculty of Science and Letters, Çankaya University,
Yukarıyurtçu Mahallesi Mimar Sinan Caddesi No 4.,
06790 Etimesgut-Ankara, Turkey
e-mail: sbilazeroglu@etu.edu.tr; sbilazeroglu@cankaya.edu.tr
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∂ u(x ,t )
∂ t
= d
1
∂
2
u(x ,t )
∂ x
2
+ a − u (x , t )
−4
u(x ,t )v(x ,t −τ)
1+u
2
(x ,t )
for x ∈ Ω, t > 0,
∂v(x ,t )
∂ t
= d
2
∂
2
v(x ,t )
∂ x
2
+ σ b
u (x , t ) −
u(x ,t )v(x ,t −τ)
1+u
2
(x ,t )
for x ∈ Ω, t > 0,
∂ u
∂
−→
n
=
∂v
∂
−→
n
= 0 for x ∈ ∂Ω, t >10,
u (x , 0) = u
0
(x ), v(x , 0) = v
0
(x ) for x ∈ Ω,
(1)
where Ω is a bounded domain in R
m
, m ≥ 1, with
smooth boundaries ∂Ω,
−→
n is the unit outer normal to
∂Ω and u
0
,v
0
∈ C
2
(Ω) ∩ C ( Ω). When there is no
time delay, system (1) reduces to the Lengyel–Epstein
reaction–diffusion model based on the chlorite–iodide–
malonic acid chemical (CIMA) reaction (see Turing
[1], Lengyel et al. [2, 3], De Kepper et al. [4], Epstein
et al. [5] and the references therein). In the model,
u (x , t ) and v(x , t ) denote chemical concentrations of
the activator iodide and the inhibitor chlorite, respec-
tively. a > 0 and b > 0 are parameters related to the
feed concentrations, and σ> 0 is a rescaling parameter
depending on the concentration of the starch. Here, the
positive constants d
1
and d
2
are diffusion coefficients
of the activator and the inhibitor, respectively, and τ is
delay parameter.
Studies on stability analysis of reaction–diffusion
systems have attracted very much interest in mathe-
matical biology, medicine, ecology, economics and so
on (see, e.g., [5–10] and [11]). In the last two decades,
some mathematical investigations were conducted for
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