Research Article Stability Analysis for Mutually Delay-Coupled Semiconductor Lasers System

advertisement
Hindawi Publishing Corporation
Abstract and Applied Analysis
Volume 2013, Article ID 248379, 9 pages
http://dx.doi.org/10.1155/2013/248379
Research Article
Stability Analysis for Mutually Delay-Coupled Semiconductor
Lasers System
Rina Su, Chunrui Zhang, and Zuolin Shen
Department of Mathematics, Northeast Forestry University, Harbin 150040, China
Correspondence should be addressed to Chunrui Zhang; math@nefu.edu.cn
Received 19 December 2012; Revised 4 February 2013; Accepted 5 February 2013
Academic Editor: Peixuan Weng
Copyright © 2013 Rina Su et al. This is an open access article distributed under the Creative Commons Attribution License, which
permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
In this paper, the problem of the stability for mutually delay-coupled semiconductor lasers system is investigated. By analyzing
the associated characteristic equation, linear stability is investigated and Hopf bifurcations are demonstrated. The new phenomena
such as stability switch is found. The 𝑍2 equivariant property and the existence of multiple periodic solutions is also discussed.
Numerical simulations are presented to illustrate the results in the paper.
1. Introduction
For many years, coupled nonlinear oscillators have been a
source of growing interest in different research fields, ranging
from physics, chemistry, and engineering to biology, social
sciences and so on [1–5].
Recently, there has been an increasing activity and interest
on the study of delay-coupled semiconductor lasers systems,
because of their practical importance. The spatial separation
of the lasers always results in a time delay in the coupling
due to finite signal propagation times [6]. Time delay is
ubiquitous in most physical and biological systems like
optical bistable devices, electromechanical systems, predatorprey models, and physiological systems. They can arise from
finite propagation speeds of signals or from finite processing
times in synapses and so on. In many situations, the time
delay in the coupling has been neglected. However, for
semiconductor lasers this is not always justified due to
their large bandwidth and fast time scales of their dynamics.
The objective of [6] is the genetic case of two identical,
mutually delay-coupled semiconductor lasers that receive
each others light. The authors model the coupled lasers
system with rate equations for the normalized complex slowly
varying envelope of the optical fields 𝐸1,2 and the normalized
inversions 𝑁1,2 as follows
𝑑𝐸1
= (1 + 𝑖𝛼) 𝑁1 𝐸1 + πœ…π‘’−𝑖Ω1 πœπ‘› 𝐸2 (𝑑 − πœπ‘› ) ,
𝑑𝑑
𝑑𝐸2
= (1 + 𝑖𝛼) 𝑁2 𝐸2 + πœ…π‘’−𝑖Ω1 πœπ‘› 𝐸1 (𝑑 − πœπ‘› ) + 𝑖𝛿𝐸2 ,
𝑑𝑑
𝑑𝑁
󡄨 󡄨2
𝑇 1 = 𝑃 − 𝑁1 − (1 + 2𝑁1 ) 󡄨󡄨󡄨𝐸1 󡄨󡄨󡄨 ,
𝑑𝑑
𝑇
(1)
𝑑𝑁2
󡄨 󡄨2
= 𝑃 − 𝑁2 − (1 + 2𝑁2 ) 󡄨󡄨󡄨𝐸2 󡄨󡄨󡄨 ,
𝑑𝑑
where πœ… > 0 is the coupled strength, πœπ‘› > 0 is the delay
time, Ω1 is the optical frequency of laser 1 operated solitary at
threshold, Ω2 is the optical angular frequency of the second
laser operated solitary at threshold, and 𝛿 = Ω1 − Ω2 .
The remaining parameters are the line width enhancement
factor 𝛼 > 0, the normalized carrier lifetime 𝑇(𝑇 > 0),
and the pump parameter 𝑃(𝑃 > 0). The authors obtained
experimentally bifurcations and multistabilities between the
two lasers.
2
Abstract and Applied Analysis
In this paper we consider the lasers system (1) with Ω1 =
Ω2 = Ω > 0, then we have
𝑑𝐸1
= (1 + 𝑖𝛼) 𝑁1 𝐸1 + πœ…π‘’−𝑖Ω𝜏 𝐸2 (𝑑 − 𝜏) ,
𝑑𝑑
𝑑𝐸2
= (1 + 𝑖𝛼) 𝑁2 𝐸2 + πœ…π‘’−𝑖Ω𝜏 𝐸1 (𝑑 − 𝜏) ,
𝑑𝑑
𝑑𝑁
󡄨 󡄨2
𝑇 1 = 𝑃 − 𝑁1 − (1 + 2𝑁1 ) 󡄨󡄨󡄨𝐸1 󡄨󡄨󡄨 ,
𝑑𝑑
𝑇
(2)
𝑑𝑁2
󡄨 󡄨2
= 𝑃 − 𝑁2 − (1 + 2𝑁2 ) 󡄨󡄨󡄨𝐸2 󡄨󡄨󡄨 .
𝑑𝑑
Consider the complex coupled semiconductor lasers model
(2) with a single delay 𝜏. Let 𝐸1 = π‘₯1 − 𝑖𝑦1 , 𝐸2 = π‘₯2 − 𝑖𝑦2 ,
𝑁1 = 𝑒1 + 𝑃 − 𝑖]1 , and 𝑁2 = 𝑒2 + 𝑃 − 𝑖]2 be a solution of (2).
Then (2) can be rewritten as
π‘₯Μ‡ 1 = (𝑒1 − 𝛼]1 + 𝑃) π‘₯1 − (]1 + 𝛼𝑒1 + 𝛼𝑃) 𝑦1
+ πœ… cos (Ω𝜏) π‘₯2 (𝑑 − 𝜏) + πœ… sin (Ω𝜏) 𝑦2 (𝑑 − 𝜏) ,
𝑦̇ 1 = (]1 + 𝛼𝑒1 + 𝛼𝑃) π‘₯1 − (𝑒1 − 𝛼]1 + 𝑃) 𝑦1
2. Stability Analysis
− πœ… sin (Ω𝜏) π‘₯2 (𝑑 − 𝜏) + πœ… sin (Ω𝜏) 𝑦2 (𝑑 − 𝜏) ,
It is clear that the origin (0, 0, 0, 0, 0, 0, 0, 0) is a stationary
point of (3). The linearization of (3) at the origin (0, 0, 0, 0,
0, 0, 0, 0) is
π‘₯Μ‡ 2 = (𝑒2 − 𝛼]2 + 𝑃) π‘₯2 − (]2 + 𝛼𝑒2 + 𝛼𝑃) 𝑦2
+ πœ… cos (Ω𝜏) π‘₯1 (𝑑 − 𝜏) + πœ… sin (Ω𝜏) 𝑦1 (𝑑 − 𝜏) ,
π‘₯Μ‡ 1 = 𝑃π‘₯1 − 𝛼𝑃𝑦1 + πœ… cos (Ω𝜏)
𝑦̇ 2 = (]2 + 𝛼𝑒2 + 𝛼𝑃) π‘₯2 + (𝑒2 − 𝛼]2 + 𝑃) 𝑦2
× π‘₯2 (𝑑 − 𝜏) + πœ… sin (Ω𝜏) 𝑦2 (𝑑 − 𝜏) ,
− πœ… sin (Ω𝜏) π‘₯1 (𝑑 − 𝜏) + πœ… cos (Ω𝜏) 𝑦1 (𝑑 − 𝜏) ,
1
𝑒̇ 1 = − [𝑒1 + π‘₯12 − 𝑦12 + 2𝑒1 π‘₯12 + 2𝑃π‘₯12
𝑇
𝑦̇ 1 = 𝛼𝑃π‘₯1 − 𝑃𝑦1 − πœ… sin (Ω𝜏)
(3)
−2𝑒1 𝑦12 − 2𝑃𝑦12 − 4]1 π‘₯1 𝑦1 ] ,
]Μ‡1 = −
1
[] + 2π‘₯1 𝑦1 + 4𝑒1 π‘₯1 𝑦1
𝑇 1
+4𝑃π‘₯1 𝑦1 +
𝑒̇ 2 = −
]Μ‡2 = −
2]1 π‘₯12
−
system (3) have changed. That is to say, if the time delay is
in a certain range, the out-put power is stable or unstable.
We also find some new phenomena such as stability
switch for (3) which is not mentioned in [6]. Couple can lead
synchronization, phase trapping, phase locking, amplitude
death, chaos, bifurcation of oscillators and so on [7–9]. Since
two identical oscillators are coupled symmetrically, then the
most typical patterns of behavior are perfect synchrony or
perfect antisynchrony (in which the oscillators are half a
period out of phase with each other). In Section 3, we give the
𝑍2 -equivariant property of (3) and the existence of multiple
periodic solutions (synchronous respectively, anti-phased).
The paper is organized as follows. In Section 2, we analyze
the distribution of the characteristic equation associated with
multicoupled, and obtain the existence of the local Hopf
bifurcation and stability of the bifurcating periodic solutions.
Base on the symmetric bifurcation theorem of Golubitsky
[10], we also discussed the 𝑍2 equivariant property and the
existence of multiple periodic solutions in Section 3. To verify
the theoretic analysis, numerical simulations are given in
Section 4.
× π‘₯2 (𝑑 − 𝜏) + πœ… sin (Ω𝜏) 𝑦2 (𝑑 − 𝜏) ,
π‘₯Μ‡ 2 = 𝑃π‘₯2 − 𝛼𝑃𝑦2 + πœ… cos (Ω𝜏)
× π‘₯1 (𝑑 − 𝜏) + πœ… sin (Ω𝜏) 𝑦1 (𝑑 − 𝜏) ,
𝑦̇ 2 = 𝛼𝑃π‘₯2 + 𝑃𝑦2 − πœ… sin (Ω𝜏)
2]1 𝑦12 ] ,
× π‘₯1 (𝑑 − 𝜏) + πœ… cos (Ω𝜏) 𝑦1 (𝑑 − 𝜏) ,
1
[𝑒 + π‘₯22 − 𝑦22 + 2𝑒2 π‘₯22 + 2𝑃π‘₯22
𝑇 2
𝑒̇ 1 = −
1
𝑒,
𝑇 1
−2𝑒2 𝑦22 − 2𝑃𝑦22 − 4]2 π‘₯2 𝑦2 ] ,
]Μ‡1 = −
1
],
𝑇 1
𝑒̇ 2 = −
1
𝑒,
𝑇 2
]Μ‡2 = −
1
].
𝑇 2
1
[] + 2π‘₯2 𝑦2 + 4𝑒2 π‘₯2 𝑦2
𝑇 2
+4𝑃π‘₯2 𝑦2 + 2]2 π‘₯22 − 2]2 𝑦22 ] .
The purpose of this paper is to study the properties of stability and bifurcation in model (3). Because of the optical
frequencies are the same, which leads to a detuning between
the lasers, for achieving high out-put power, the effect of the
time delay between the semiconductor lasers has been more
and more importance. In our study, we need to found that
when the time delay reach a certain value, arbitrarily small
perturbation will make the dynamic performance of the
(4)
Among them, the πœ… > 0 is a coupling strength, 𝑃 > 0, 𝛼 > 0,
Ω > 0, and 𝑇 > 0. The zero solution of system (4) is asymptotically stable if and only if all the roots of the characteristic
equation associated with system (4) have negative real parts.
The characteristic equation of system (4) is
det πœ‡1 (πœ†) ⋅ det πœ‡2 (πœ†) = 0,
(5)
Abstract and Applied Analysis
3
It is easy to verify that πœ† is a root of (11) if and only if it is
a root of one of the following equations:
where
det πœ‡1 (πœ†)
󡄨󡄨
πœ†−𝑃
𝛼𝑃
−πœ…π‘’−πœ†πœ cos (Ω𝜏) −πœ…π‘’−πœ†πœ sin (Ω𝜏) 󡄨󡄨󡄨
󡄨󡄨
󡄨
󡄨󡄨
πœ†−𝑃
πœ…π‘’−πœ†πœ sin (Ω𝜏) −πœ…π‘’−πœ†πœ cos (Ω𝜏)󡄨󡄨󡄨
= 󡄨󡄨󡄨 −πœ†πœ−𝛼𝑃
󡄨󡄨,
πœ†−𝑃
𝛼𝑃
󡄨󡄨−πœ…π‘’ cos (Ω𝜏) −πœ…π‘’−πœ†πœ sin (Ω𝜏)
󡄨󡄨
󡄨󡄨 πœ…π‘’−πœ†πœ sin (Ω𝜏) −πœ…π‘’−πœ†πœ cos (Ω𝜏)
󡄨󡄨
−𝛼𝑃
πœ†−𝑃
󡄨
󡄨
󡄨󡄨
󡄨󡄨
󡄨󡄨
σ΅„¨σ΅„¨πœ† + 1
󡄨󡄨
󡄨󡄨
𝑇
󡄨󡄨
󡄨󡄨
1
󡄨󡄨
󡄨󡄨
󡄨󡄨
πœ†+
󡄨󡄨󡄨
󡄨󡄨
𝑇
󡄨󡄨
󡄨󡄨
󡄨
1
det πœ‡2 (πœ†) = 󡄨󡄨
󡄨󡄨 ,
πœ†+
󡄨󡄨
󡄨󡄨
󡄨󡄨
𝑇
󡄨󡄨󡄨
󡄨
1
󡄨󡄨
πœ† + 󡄨󡄨󡄨󡄨
󡄨󡄨
󡄨󡄨
𝑇 󡄨󡄨󡄨
󡄨󡄨
󡄨󡄨
󡄨
(6)
by a direct calculation, and one can obtain that
det πœ‡1 (πœ†)
πœ† − 𝑃 − πœ…π‘’−πœ†πœ cos (Ω𝜏) = 𝑖 (𝛼𝑃 − πœ…π‘’−πœ†πœ sin (Ω𝜏)) ,
πœ† − 𝑃 − πœ…π‘’−πœ†πœ cos (Ω𝜏) = − 𝑖 (𝛼𝑃 − πœ…π‘’−πœ†πœ sin (Ω𝜏)) , (13)
πœ† − 𝑃 + πœ…π‘’−πœ†πœ cos (Ω𝜏) = 𝑖 (𝛼𝑃 + πœ…π‘’−πœ†πœ sin (Ω𝜏)) ,
2
2
2
2
× [(πœ† − 𝑃 + πœ…π‘’−πœ†πœ cos (Ω𝜏)) + (𝛼𝑃 + πœ…π‘’−πœ†πœ sin (Ω𝜏)) ] ,
(7)
det πœ‡2 (πœ†) = (πœ† +
1 4
).
𝑇
(8)
It is well known from the theory of functional differential
equations that characteristic equation (5) determines local
stability of the trivial solution of (3). Thus, we need to investigate the distribution of roots of the characteristic equation
(5). To achieve this aim, it is convenient to consider the following.
Clearly, (7) can be written as
det πœ‡1 (πœ†) = Δ− (πœ†) ⋅ Δ+ (πœ†) ,
(9)
where
Δ− (πœ†)
2
2
= (πœ† − 𝑃 − πœ…π‘’−πœ†πœ cos (Ω𝜏)) + (𝛼𝑃 − πœ…π‘’−πœ†πœ sin (Ω𝜏)) ,
Δ+ (πœ†)
2
2
= (πœ† − 𝑃 + πœ…π‘’−πœ†πœ cos (Ω𝜏)) + (𝛼𝑃 + πœ…π‘’−πœ†πœ sin (Ω𝜏)) .
(10)
Since det πœ‡1 (πœ†) ⋅ det πœ‡2 (πœ†) = 0, then we have det πœ‡1 (πœ†) = 0 or
det πœ‡2 (πœ†) = 0. If det πœ‡2 (πœ†) = 0, we have πœ† = −1/𝑇, and then
all roots of the characteristic equation (5) have negative real
parts. In this case, they have no influence on the system (3);
then system (3) is stable. We will omit it.
So, we just consider
det πœ‡1 (πœ†) = 0.
(11)
(14)
πœ† − 𝑃 + πœ…π‘’−πœ†πœ cos (Ω𝜏) = − 𝑖 (𝛼𝑃 + πœ…π‘’−πœ†πœ sin (Ω𝜏)) , (15)
and it is not difficult to verify that πœ† = π‘ž + 𝑖𝛽 is a root of (12) if
and only if πœ† = π‘ž − 𝑖𝛽 is a root of (13), and πœ† = π‘ž + 𝑖𝛽 is a root
of (14) if and only if πœ† = π‘ž − 𝑖𝛽 is a root of (15). Therefore, it
is sufficient to investigate only (12) and (14). We next want to
find the conditions which determine that all roots of (12)–(15)
satisfy Re(πœ†) < 0.
We first consider (12), clearly πœ† = 0 is not a root of (3).
Let πœ† = 𝑖𝛽, (𝛽 =ΜΈ 0) be a root of (12), then 𝛽 satisfies
πœ… cos (π›½πœ + Ω𝜏) = − 𝑃,
= [(πœ† − 𝑃 − πœ…π‘’−πœ†πœ cos (Ω𝜏)) + (𝛼𝑃 − πœ…π‘’−πœ†πœ sin (Ω𝜏)) ]
(12)
πœ… sin (π›½πœ + Ω𝜏) = 𝛼𝑃 − 𝛽,
(16)
and it follows that
2
(𝛼𝑃 − 𝛽) = πœ…2 − 𝑃2 .
(17)
Clearly, (17) has no real root if 0 < πœ… < 𝑃 and has two real
roots 𝛽± if πœ… > 𝑃, where
𝛽± = 𝛼𝑃 ± √πœ…2 − 𝑃2 .
(18)
Consequently by (16), we can state the following results.
Lemma 1. (1) If 0 < πœ… < 𝑃, then (12) has no purely imaginary
root.
(2) If πœ… > 𝑃, then we have the following.
(i) For 𝑃 < πœ… < √𝛼2 𝑃2 + 𝑃2 , define
𝜏+𝑗 =
πœ‹ + arccos (𝑃/πœ…) + 2π‘—πœ‹
,
𝛽+ + Ω
(19)
𝜏−𝑗 =
πœ‹ − arccos (𝑃/πœ…) + 2π‘—πœ‹
,
𝛽− + Ω
(20)
where 𝑗 = 0, 1, 2, . . ., then 𝑖𝛽± are purely imaginary
roots of (12), with 𝜏 = 𝜏±π‘— , respectively.
(ii) If πœ… > √𝛼2 𝑃2 + 𝑃2 β‹‚ (𝛽− +Ω) < 0, then (12) has purely
imaginary roots 𝑖𝛽± when 𝜏 = 𝜏±π‘— , respectively, where 𝜏+𝑗
is defined by (19) and
𝜏−𝑗 =
πœ‹ + arccos (𝑃/πœ…) + 2π‘—πœ‹
.
− (𝛽− + Ω)
(21)
(iii) If πœ… = √𝛼2 𝑃2 + 𝑃2 , then 𝑖𝛽+ is a purely imaginary root
of (12) with 𝜏 = 𝜏+𝑗 , where 𝛽+ = 2𝛼𝑝 and 𝜏+𝑗 is defined
by (19).
4
Abstract and Applied Analysis
(3) If πœ… = 𝑃, then 𝑖𝛽+ is a purely imaginary root of (12) with
𝜏 = 𝜏+𝑗 , where 𝛽+ = 𝛼𝑝 and 𝜏+𝑗 = (2(𝑗 + 1)πœ‹)/(𝛼𝑃 + Ω), (𝑗 =
0, 1, 2, . . .).
Lemma 2. If πœ… > 𝑃, then Re(π‘‘πœ†/π‘‘πœ)𝜏=𝜏+𝑗 > 0, and
Re (
< 0,
π‘‘πœ†
{
)
−
π‘‘πœ 𝜏=πœπ‘— > 0,
for 𝑃 < πœ… < √𝛼2 𝑃2 + 𝑃2 ,
for πœ… > √𝛼2 𝑃2 + 𝑃2 β‹‚ (𝛽− + Ω) < 0,
(22)
where 𝑗 = 0, 1, 2, . . ..
Proof. Substituting πœ†(𝜏) into (12) and taking the derivative
with the respect to 𝜏, we can easily obtain
[
1
𝜏
π‘‘πœ† −1
−
.
] = −πœ†πœ
π‘‘πœ
πœ…π‘’ (1 + 𝑖Ω) (𝑖 sin (Ω𝜏) − cos (Ω𝜏)) πœ† + 𝑖Ω
(23)
Note that 𝛽+ > 0, and 𝛽− > 0 when 𝑃 < πœ… < √𝛼2 𝑃2 + 𝑃2 ,
while 𝛽− < 0 ∩ (𝛽− + Ω) < 0 when πœ… > √𝛼2 𝑃2 + 𝑃2 . Thus by
(16) and (23), we deduce that
Re [
Re (
𝛽+ − 𝛼𝑃
π‘‘πœ† −1
=
> 0,
]
π‘‘πœ 𝜏=𝜏+𝑗 πœ…2 (𝛽+ + Ω)
𝛽− − 𝛼𝑃
π‘‘πœ† −1
=
)
π‘‘πœ 𝜏=𝜏−𝑗 πœ…2 (𝛽− + Ω)
={
< 0, 𝑃 < πœ… < √𝛼2 𝑃2 + 𝑃2 ,
> 0, πœ… > √𝛼2 𝑃2 + 𝑃2 β‹‚ (𝛽− + Ω) < 0.
(24)
Since the sign of Re(π‘‘πœ†/π‘‘πœ) is same as that of Re(π‘‘πœ†/π‘‘πœ)−1 ,
this lemma follows immediately.
Combining (12) and (13) as follows:
πœ† − 𝑃 − πœ…π‘’−πœ†πœ cos (Ω𝜏) = ±π‘– (𝛼𝑃 − πœ…π‘’−πœ†πœ sin (Ω𝜏)) .
(25)
Then Lemmas 1 and 2 allow us to state and prove the following
results.
Lemma 3. Assume that 𝛽± are defined by (18) and 𝜏±π‘— are
shown as in Lemma 1.
(1) If 0 < πœ… < 𝑃, then (25) has two roots with positive real
parts for all 𝜏 ≥ 0.
(2) If 𝑃 < πœ… < √𝛼2 𝑃2 + 𝑃2 and arccos(𝑃/πœ…) >
(√πœ…2 − 𝑃2 /(𝛼𝑃 + Ω))πœ‹, then there exists an integer π‘š
such that 0 < 𝜏−0 < 𝜏+0 < ⋅ ⋅ ⋅ < 𝜏−π‘š−1 < 𝜏+π‘š−1 <
𝜏−π‘š < 𝜏+π‘š < 𝜏+π‘š+1 < 𝜏−π‘š+1 . In this case, all roots of (25)
−
+
have negative real parts when 𝜏 ∈ β‹ƒπ‘š
𝑗=0 (πœπ‘— πœπ‘— ), (25)
has a pair of roots with positive real parts when 𝜏 ∈
+
−
+
β‹ƒπ‘š
𝑗=0 (𝜏(𝑗−1) πœπ‘— ) where 𝜏(−1) = 0, and (25) has at least
a pair of roots with positive real parts when 𝜏 > 𝜏+π‘š . In
addition, when 𝜏 = 𝜏+𝑗 and 𝜏 = 𝜏−𝑗 , (𝑗 = 0, 1, 2, . . .), all
roots of (25) have negative real parts except the purely
imaginary roots ±π‘–𝛽+ and ±π‘–𝛽− , respectively.
(3) If 𝑃 < πœ… < √𝛼2 𝑃2 + 𝑃2 and arccos(𝑃/πœ…) <
(√πœ…2 − 𝑃2 /(𝛼𝑃 + Ω))πœ‹, then there exists an integer 𝑛
such that 0 < 𝜏+0 < 𝜏−0 < ⋅ ⋅ ⋅ < 𝜏+𝑛−1 < 𝜏−𝑛−1 <
𝜏+𝑛 < 𝜏+𝑛+1 < 𝜏−𝑛 . In this case, all roots of (25) have
negative real parts when 𝜏 ∈ [0 𝜏+0 ) ∪ ⋃𝑛𝑗=0 (𝜏−𝑗−1 𝜏+𝑗 ),
(25) has a pair of roots with positive real parts when
+
−
𝜏 ∈ ⋃𝑛−1
𝑗=0 (πœπ‘— πœπ‘— ) and (25) has at least a pair of roots
with positive real parts when 𝜏 > 𝜏+𝑛 . In addition,
when 𝜏 = 𝜏+𝑗 , (𝑗 = 0, 1, 2, . . . , 𝑛) and 𝜏 = 𝜏−𝑗 , (𝑗 =
0, 1, 2, . . . , 𝑛 − 1), all roots of (25) have negative real
parts except the purely imaginary roots ±π‘–𝛽+ and ±π‘–𝛽− ,
respectively.
(4) If πœ… > √𝛼2 𝑃2 + 𝑃2 β‹‚ (𝛽− + Ω) < 0, then (25) has at
least two part roots with positive real parts for all 𝜏 ≥ 0.
Proof. (1) When 𝜏 = 0, (25) becomes πœ† = 𝑃 + πœ… ± 𝑖𝛼𝑃, it is easy
to see that (25) with 𝜏 = 0 has only two roots with positive real
parts.
This shows that (25) has no purely imaginary root. Meanwhile, 𝜏 = 0 is not a root of (25). Thus there is no root appearing on the imaginary axis. Hence (25) has two roots with
positive real parts for all 𝜏 ≥ 0. The proof is complete.
In what follows, we only prove the conclusions in case (2).
In case (3), the proof is similar. We just omit it.
(2) When 𝑃 < πœ… < √𝛼2 𝑃2 + 𝑃2 and arccos(𝑃/πœ…) >
√
( πœ…2 − 𝑃2 /(𝛼𝑃+Ω))πœ‹, it is not difficult to verify that, 𝜏+0 > 𝜏−0
and |𝜏+(𝑗+1) −𝜏+𝑗 | < |𝜏−(𝑗+1) −𝜏−𝑗 |,𝜏0 = 𝜏−0 is the first value of 𝜏 ≥ 0
such that (25) has imaginary root. From Lemma 2, we know
that
π‘‘πœ†
> 0,
Re ( )
π‘‘πœ 𝜏=𝜏+𝑗
(26)
π‘‘πœ†
< 0,
Re ( )
π‘‘πœ 𝜏=𝜏−𝑗
we have that all the roots of (25) have negative real parts when
−
+
𝜏 ∈ β‹ƒπ‘š
𝑗=0 (πœπ‘— πœπ‘— ). Therefore, together with Lemmas 1 and 2,
means that the lemma is true.
In a similar way, for the equation
πœ† − 𝑃 + πœ…π‘’−πœ†πœ cos (Ω𝜏) = ±π‘– (𝛼𝑃 + πœ…π‘’−πœ†πœ sin (Ω𝜏)) ,
(27)
which is the combination of (14) and (15), we can show the
lemma below.
Lemma 4. (1) If 0 < πœ… < 𝑃, then (27) has no purely imaginary
root for all 𝜏 ≥ 0.
(2) Assume that πœ… > 𝑃, then we have the following.
(i) If 𝑃 < πœ… < √𝛼2 𝑃2 + 𝑃2 , then (27) has a pair of purely
imaginary roots ±π‘–𝛽± when 𝜏 = πœΜƒ±π‘— , (𝑗 = 0, 1, 2, . . .),
respectively, and
arccos (𝑃/πœ…) + 2π‘—πœ‹
,
𝛽+ + Ω
(28)
2πœ‹ − arccos (𝑃/πœ…) + 2π‘—πœ‹
.
𝛽− + Ω
(29)
πœΜƒ+𝑗 =
πœΜƒ−𝑗 =
Abstract and Applied Analysis
5
(ii) If πœ… > √𝛼2 𝑃2 + 𝑃2 β‹‚ (𝛽− + Ω) < 0, then (27) has
a pair of purely imaginary roots ±π‘–𝛽± when 𝜏 = πœΜƒ±π‘— ,
respectively, where 𝛽± = 𝛼𝑃 ± √πœ…2 − 𝑃2 , πœΜƒ+𝑗 is defined
by (28) and
πœΜƒ−𝑗 =
arccos (𝑃/πœ…) + 2π‘—πœ‹
.
− (𝛽− + Ω)
(30)
(iii) If πœ… = √𝛼2 𝑃2 + 𝑃2 , then (27) has a pair of purely
imaginary roots ±π‘–𝛽+ when 𝜏 = πœΜƒ+𝑗 , (𝑗 = 0, 1, 2, . . .),
where 𝛽+ = 2𝛼𝑝 and πœΜƒ+𝑗 is defined by (28).
instability or from stability to instability and back to stability
several times may occur. In this case, for the convenience
of statement, by (19) and (28), we can rearrange 𝜏+𝑗 , πœΜƒ+𝑗 as
follows:
πœπ‘—+ =
πœ‹ + arccos (𝑃/πœ…) + π‘—πœ‹
,
𝛽+ + Ω
(32)
and by (20) and (29), we can rearrange 𝜏−𝑗 ,Μƒπœ−𝑗 as follows
πœπ‘—− =
πœ‹ − arccos (𝑃/πœ…) + π‘—πœ‹
,
𝛽− + Ω
(33)
(3) If πœ… = 𝑃, then (27) has a pair of purely imaginary roots
±π‘–𝛽+ when 𝜏 = πœΜƒ+𝑗 , where 𝛽+ = 𝛼𝑝 and πœΜƒ+𝑗 = ((2𝑗 + 1)πœ‹)/(𝛼𝑃 +
Ω), (𝑗 = 0, 1, 2, . . .).
where 𝑗 = 0, 1, 2, . . .. By Lemma 2 and (31), we can easily
obtain the following results on the distribution of zeros of the
characteristic (11).
By a direct computation, we can obtain that if πœ… > 𝑃, then
Lemma 6. Assume that 𝛽± are defined by (18) and πœπ‘—± are
defined by (32)-(33), respectively.
Re (
Re (
< 0,
π‘‘πœ†
{
)
π‘‘πœ 𝜏=Μƒπœ−𝑗 > 0,
π‘‘πœ†
> 0,
)
π‘‘πœ 𝜏=Μƒπœ+𝑗
for 𝑃 < πœ… < √𝛼2 𝑃2 + 𝑃2 ,
for πœ… > √𝛼2 𝑃2 + 𝑃2 β‹‚ (𝛽− + Ω) < 0.
(31)
In addition, it is easy to see that (27) has a pair of roots with
negative real parts for πœ… > 𝑃 and has only two roots with
positive real parts for 0 < πœ… < 𝑃, with 𝜏 = 0. Consequently,
by Lemma 4 and (31), we can show the lemma below.
Lemma 5. Assume that 𝛽± are defined by (18) and πœΜƒ±π‘— are
shown as in Lemma 4.
(1) If 0 < πœ… < 𝑃, then (27) has two roots with positive real
parts for all 𝜏 ≥ 0.
(2) If 𝑃 < πœ… < √𝛼2 𝑃2 + 𝑃2 , then there exists an integer β„“
such that 0 < πœΜƒ+0 < πœΜƒ−0 < ⋅ ⋅ ⋅ < πœΜƒ+β„“−1 < πœΜƒ−β„“−1 < πœΜƒ+β„“ <
πœΜƒ+β„“+1 < πœΜƒ−β„“ . In this case, all roots of (27) have negative
real parts when 𝜏 ∈ [0 πœΜƒ+0 ) ∪ 𝜏 ∈ ⋃ℓ𝑗=1 (Μƒπœ−𝑗−1 πœΜƒ+𝑗 ),
(27) has a pair of roots with positive real parts when
𝜏 ∈ ⋃ℓ𝑗=0 (Μƒπœ+𝑗 πœΜƒ−𝑗 ), and (27) has at least a pair of roots
with positive real parts when 𝜏 > πœΜƒ+β„“ . Moreover, all
roots of (27) have negative real parts except the purely
imaginary roots ±π‘–𝛽+ for 𝜏 = πœΜƒ+𝑗 , (𝑗 = 0, 1, 2, . . . , β„“)
and ±π‘–𝛽− for 𝜏 = πœΜƒ−𝑗 , (𝑗 = 0, 1, 2, . . . , β„“ − 1).
(3) If πœ… > √𝛼2 𝑃2 + 𝑃2 β‹‚ (𝛽− + Ω) < 0, then all roots of
(27) has at least two part roots with positive real parts
for all 𝜏 ≥ πœΜƒ+0 , and (27) has a pair of purely imaginary
roots ±π‘–𝛽± when 𝜏 = πœΜƒ±π‘— , respectively.
Now, we are in a position to study (13). It is easy to see
from Lemmas 3 and 5 that (13) has at least one root with
positive real part when 0 < πœ… < 𝑃 or πœ… > √𝛼2 𝑃2 + 𝑃2 .
However, when 𝑃 < πœ… < √𝛼2 𝑃2 + 𝑃2 , a more interesting
phenomenon such as stability switches, the stability of the
equilibrium switching from instability to stability and back to
(1) If 0 < πœ… < 𝑃, then (11) has four roots with positive real
parts for all 𝜏 ≥ 0.
(2) If 𝑃 < πœ… < √𝛼2 𝑃2 + 𝑃2 and arccos(𝑃/πœ…) <
((√πœ…2 − 𝑃2 )/(𝛼𝑃 + Ω))πœ‹, then there exists an integer
+
−
< πœβ„Ž−1
<
β„Ž such that 0 < 𝜏0+ < 𝜏0− < ⋅ ⋅ ⋅ < πœβ„Ž−1
+
+
−
πœβ„Ž < πœβ„Ž+1 < πœβ„Ž . Moreover, all roots of (11) has negative
−
real parts when 𝜏 ∈ [0 𝜏+0 ) ∪ 𝜏 ∈ β‹ƒβ„Žπ‘—=1 (𝜏(𝑗−1)
πœπ‘—+ ),
(11) has a pair of roots with positive real parts when
+
−
𝜏 ∈ β‹ƒβ„Ž−1
𝑗=0 (πœπ‘— πœπ‘— ), and (11) has at least a pair of roots
with positive real parts when 𝜏 > πœβ„Ž+ . In addition,
when 𝜏 = πœπ‘—+ , (𝑗 = 0, 1, 2, . . . , β„Ž) and 𝜏 = πœπ‘—− , (𝑗 =
0, 1, 2, . . . , β„Ž − 1), all roots of (11) have negative real
parts except the purely imaginary roots ±π‘–𝛽+ and ±π‘–𝛽− ,
respectively.
(3) If 𝑃 < πœ… < √𝛼2 𝑃2 + 𝑃2 and arccos(𝑃/πœ…) >
(√πœ…2 − 𝑃2 /(𝛼𝑃 + Ω))πœ‹, then there exists an integer 𝑔
−
+
< πœπ‘”−1
<
such that 0 < 𝜏0− < 𝜏0+ < ⋅ ⋅ ⋅ < πœπ‘”−1
−
+
+
−
πœπ‘” < πœπ‘” < πœπ‘”+1 < πœπ‘”+1 . Moreover, all roots of (11)
𝑔
+
has negative real parts for 𝜏 ∈ ⋃𝑗=0 (𝜏(𝑗−1)
πœπ‘—− ), where
+
𝜏−1 = 0; and (11) has at least a pair of roots with
positive real parts for 𝜏 > πœπ‘—+ . In addition, when 𝜏 = πœπ‘—+
and 𝜏 = πœπ‘—− , (𝑗 = 0, 1, 2, . . . , 𝑔), all roots of (11) have
negative real parts except the purely imaginary roots
±π‘–𝛽+ and ±π‘–𝛽− , respectively.
(4) If πœ… > √𝛼2 𝑃2 + 𝑃2 β‹‚ (𝛽− + Ω) < 0, then (11)
has at least two roots with positive real parts for all
𝜏 ≥ 0. Moreover, when 𝜏 = 𝜏±π‘— (11) has a pair of
purely imaginary roots ±π‘–𝛽± , respectively, and when
𝜏 = πœΜƒ±π‘— (11) has a pair of purely imaginary roots ±π‘–𝛽± ,
respectively. Here 𝜏±π‘— and πœΜƒ±π‘— are shown as in Lemmas 1
and 4, respectively.
Lemmas 2 and 6, together with (31), allow us to state the
following results on the stability of the zero equilibrium of
mutually delay-coupled system (3) and Hopf bifurcations.
Abstract and Applied Analysis
×10−7
1.5
×10−7
1.5
1
1
0.5
0.5
𝑦1 , 𝑦2
π‘₯1 , π‘₯2
6
0
0
−0.5
−0.5
−1
−1
−1.5
85
90
95
−1.5
85
100
90
95
𝑑
100
𝑑
𝑦1
𝑦2
π‘₯1
π‘₯2
(a)
(b)
40
50
30
40
20
30
10
20
0
𝑦1 , 𝑦2
π‘₯1 , π‘₯2
Figure 1: When 𝜏 ∈ [0, 𝜏0− ], the zero equilibrium is unstable. 𝑇 = 1/70 and initial conditions: 0.000000001⋅(1, 1, 1, 1, −1, −1, −1, −1), 𝜏 = 0.001.
−10
0
−10
−20
−20
−30
−30
−40
−50
10
−40
2
0
4
6
8
10
−50
2
0
4
6
𝑑
8
10
𝑑
𝑦1
𝑦2
π‘₯1
π‘₯2
(a)
(b)
Figure 2: When 𝜏 ∈ [𝜏0− 𝜏0+ ], the zero equilibrium is asymptotically stable. 𝑇 = 100 and initial conditions: 30 ⋅ (1, 1, 1, 1, 1, 1, 1, 1), 𝜏 = 0.019.
Theorem 7. Assume that 𝛽± are defined by (18) and πœπ‘—± are
defined by (32)-(33), respectively.
the zero equilibrium of system (3) when 𝜏 = πœπ‘—± , (𝑗 =
0, 1, 2, . . .).
(1) If 0 < πœ… < 𝑃, then the zero equilibrium of system (3) is
unstable for all 𝜏 ≥ 0.
(3) If 𝑃 < πœ… < √𝛼2 𝑃2 + 𝑃2 and arccos(𝑃/πœ…) <
(√πœ…2 − 𝑃2 /(𝛼𝑃 + Ω))πœ‹, then the zero equilibrium
of system (3) is stable for 𝜏 ∈ [0 𝜏0+ ) ∪ 𝜏 ∈
−
+
−
πœπ‘—+ ), and unstable for 𝜏 ∈ β‹ƒβ„Ž−1
β‹ƒβ„Žπ‘—=1 (𝜏(𝑗−1)
𝑗=0 (πœπ‘— πœπ‘— ) ∪
(πœβ„Ž+ + ∞). In this case, system (3) undergoes a Hopf
bifurcation at the zero equilibrium of system (3) when
𝜏 = πœπ‘—± , (𝑗 = 0, 1, 2, . . .).
(2) If 𝑃 < πœ… < √𝛼2 𝑃2 + 𝑃2 and arccos(𝑃/πœ…) >
(√πœ…2 − 𝑃2 /(𝛼𝑃 + Ω))πœ‹, then the zero equilibrium of
𝑔
system (3) is stable for 𝜏 ∈ ⋃𝑗=0 (πœπ‘—− πœπ‘—+ ), and unstable
𝑔
+
+
πœπ‘—− ) ∪ (πœπ‘”+ + ∞), where 𝜏−1
= 0.
for 𝜏 ∈ ⋃𝑗=0 (𝜏(𝑗−1)
In this case, system (3) undergoes a Hopf bifurcation at
Abstract and Applied Analysis
7
8
6
6
4
4
2
𝑦1 , 𝑦2
π‘₯1 , π‘₯2
2
0
0
−2
−4
−2
−6
−4
−8
−6
−10
90
85
95
100
−12
85
90
95
𝑑
100
𝑑
π‘₯1
π‘₯2
𝑦1
𝑦2
(a)
(b)
Figure 3: When 𝜏 ∈ [𝜏0+ 𝜏1− ], the zero equilibrium is unstable. 𝑇 = 0.01 and initial conditions: 0.0008 ⋅ (1, 1, 1, 1, 1, 1, 1, 1), 𝜏 = 0.029.
(4) If πœ… > √𝛼2 𝑃2 + 𝑃2 β‹‚ (𝛽− + Ω) < 0, then the zero
equilibriums is unstable for all 𝜏 ≥ 0, and system (3)
undergoes a Hopf bifurcation at the zero equilibrium
when 𝜏 = 𝜏±π‘— and 𝜏 = πœΜƒ±π‘— , (𝑗 = 0, 1, 2, . . .). Here 𝜏±π‘— , πœΜƒ±π‘—
are shown as Lemmas 1 and 4, respectively.
Fix (Σ, π‘†π‘ƒπœ” ) = {π‘₯ ∈ π‘†π‘ƒπœ” , (π‘Ÿ, πœƒ) π‘₯ = π‘₯, ∀ (π‘Ÿ, πœƒ) ∈ Σ} ,
3. Existence of Multiple Periodic Solutions
In the following, we consider the symmetric properties of
(3). Using the theories of functional differential equation, we
know that the system (3) is 𝑍2 -equivariant with
(πœŒπ‘ˆ)π‘Ÿ = π‘ˆπ‘Ÿ+1 (mod2) ,
(34)
for any π‘ˆπ‘Ÿ in 𝑅2 . It is much interesting to consider the spatiotemporal patterns of bifurcating periodic solutions.
In the following, we only consider the periodic properties
of π‘₯1 (𝑑), 𝑦1 (𝑑), π‘₯2 (𝑑), 𝑦2 (𝑑). For this purpose, we give the concepts of some spatiotemporal symmetric periodic solutions.
Assume that the state (𝑒1 (𝑑), V1 (𝑑), 𝑒2 (𝑑), V2 (𝑑)) can possess
two different types of symmetry: spatial and temporal. The
oscillators (𝑒1 (𝑑), V1 (𝑑)) and (𝑒2 (𝑑), V2 (𝑑)) are synchronized if
the state taking the form
(𝑒 (𝑑) , V (𝑑) , 𝑒 (𝑑) , V (𝑑)) ,
(35)
πœ”
πœ”
) , V (𝑑 + )) .
2
2
(36)
Now, we explore the possible (spatial) symmetry of the system
(3). Consider the action of 𝑍2 × π‘†1 on ([−𝜏, 0], 𝑅4 ) with
(π‘Ÿ, πœƒ) π‘₯ (𝑑) = π‘Ÿπ‘₯ (𝑑 + πœƒ) ,
(π‘Ÿ, πœƒ) ∈ 𝑍2 × π‘†1 ,
(37)
(38)
is a subspace.
Theorem 8. Assume that 𝛽± satisfy (18), then near 𝜏 = 𝜏±π‘—
(𝜏 = πœΜƒ±π‘— , resp.) for each 𝑗 ∈ 𝑁0 , a branch of synchronous (antisynchronous, resp.) periodic solutions of period πœ” near πœ”0 =
𝛽± /2πœ‹ bifurcates from the zero solution of the system (3).
Proof. Let 𝛽± satisfy (18). From the theorem of [11], we know
the corresponding eigenvectors of Δ− (πœ†) at 𝜏 = 𝜏±π‘— can be
chosen as
𝑇
π‘ž1 (πœƒ) = (V1 (πœƒ)𝑇 , V1 (πœƒ)𝑇 , 1, 0, 0, 0) ,
πœ… cos Ω𝜏± πœ… sin Ω𝜏±π‘—
𝑝 −𝛼𝑝
𝑗
where V1 (πœƒ) satisfies [( 𝛼𝑝
𝑝 ) − ( −πœ… sin Ω𝜏±
𝑗
for all times 𝑑. On the other hand, oscillator (𝑒1 (𝑑), V1 (𝑑)), is
half a period out of phase with (anti-synchronous) oscillator
(𝑒2 (𝑑), V2 (𝑑)) means the state taking the form
(𝑒 (𝑑) , V (𝑑) , 𝑒 (𝑑 +
where 𝑆1 is the temporal. Let πœ” = 2πœ‹/𝛽+ or πœ” = 2πœ‹/𝛽− ,
and denote π‘ƒπœ” the Banach space of all continuous πœ”-periodic
function π‘₯(𝑑). Denoting π‘†π‘ƒπœ” the subspace of π‘ƒπœ” consisting of
all πœ”-periodic solution of system (3) with 𝜏 = 𝜏±π‘—± or 𝜏 = πœΜƒ±π‘—± ,
then for each subgroup Σ ⊂ 𝑍2 × π‘†1 ,
1
πœ… cos Ω𝜏±π‘—
(39)
)]V1 (πœƒ) =
𝑖𝛽± V1 (πœƒ). The isotropic subgroup of 𝑍2 × π‘† is 𝑧2 (𝜌), the center
space associated to eigenvalues ±π‘–𝛽± is spanned by π‘ž1 (πœƒ) and
π‘ž1 (πœƒ), and the bifurcated periodic solutions are synchronous,
taking the form
(𝑒 (𝑑) , V (𝑑) , 𝑒 (𝑑) , V (𝑑)) .
(40)
Similarly, if 𝛽± satisfy (18), then the corresponding eigenvectors of Δ+ (πœ†) at 𝜏 = πœΜƒ±π‘— can be chosen as
𝑇
π‘ž1 (πœƒ) = (V1 (πœƒ)𝑇 , V1 (πœƒ)𝑇 , 1, 0, 0, 0) ,
(41)
Abstract and Applied Analysis
4
4
3
3
2
2
1
1
𝑦1 , 𝑦2
π‘₯1 , π‘₯2
8
0
0
−1
−1
−2
−2
−3
−3
−4
5
0
10
𝑑
15
20
−4
5
0
10
𝑑
15
20
𝑦1
𝑦2
π‘₯1
π‘₯2
(a)
(b)
Figure 4: when 𝜏 ∈ [𝜏1− 𝜏1+ ], the zero equilibrium is asymptotically stable. 𝑇 = 1 and initial conditions: 1.1 ⋅ (1, 1, 1, 1, 1, 1, 1, 1), 𝜏 = 0.0299.
πœ… cos ΩΜƒπœ± πœ… sin ΩΜƒπœ±π‘—
𝑝 −𝛼𝑝
𝑗
and V2 (πœƒ) satisfies [( 𝛼𝑝
𝑝 ) + ( −πœ… sin ΩΜƒπœ±
𝑗
πœ… cos ΩΜƒπœ±π‘—
) ]V1 (πœƒ) =
𝑖𝛽± V2 (πœƒ).
𝑍2 × π‘†1 has another isotropic subgroup 𝑧2 (𝜌, πœ‹), the center space associated to eigenvalues ±π‘–𝛽± is spanned by π‘ž2 (πœƒ),
π‘ž2 (πœƒ), and the bifurcated periodic solutions are anti-phased,
that is, taking the form
(𝑒 (𝑑) , V (𝑑) , 𝑒 (𝑑 +
πœ”
πœ”
) , V (𝑑 + )) ,
2
2
(42)
where πœ” is a period.
4. Numerical Simulations
As we all know that when Ω1 =ΜΈ Ω2 , model (1) has been studied
by Erzgraber et al. According to their results, when changing
the detuning between the lasers they observed that the
coupled laser system undergoes mode jumps to other stable
compound laser mode within the locking region.
In this paper, we consider the properties of stability and
bifurcation in a mutually delay-coupled semiconductor lasers
system. By analyzing the associate characteristic equation, we
can determine the stability and bifurcation of the coupled
system (3) with a single delay in four cases of Theorem 7.
Specifically, we have shown case (2) in Theorem 7 by using
some numerical simulations; then the Hopf bifurcation
occurs as 𝜏.
Let πœ… = 25, 𝑃 = 20, Ω = 275, and 𝛼 = 2, through (32) and
(33) we have
𝜏0− =
πœ‹ − arccos (4/5)
= 0.0188
𝛽− + Ω
< 𝜏0+ =
πœ‹ + arccos (4/5)
= 0.0210
𝛽+ + Ω
< 𝜏1− =
<
𝜏1+
2πœ‹ − arccos (4/5)
= 0.0293
𝛽− + Ω
4
2πœ‹ + arccos ( )
5 = 0.0305, . . . .
=
𝛽+ + Ω
(43)
Theorem 7 shows that the zero equilibrium of system
(3) is unstable for 𝜏 ∈ [0 𝜏0− ] ∪ [𝜏0+ 𝜏1− ] ∪ [𝜏1+ ∞] and
asymptotically stable for 𝜏 ∈ [𝜏0− , 𝜏0+ ] ∪ [𝜏1− , 𝜏1+ ]. This means
that as the average delay 𝜏 varies, the zero equilibrium of
system (3) switches two times from instability to stability,
then to instability as shown in Figures 1, 2, 3, and 4, and finally
becomes unstable.
5. Conclusion
In our study, we give a semiconductor lasers model with coupled delay to describe the exchanges between the two optical
fields 𝐸1 , 𝐸2 of the lasers. By means of the general symmetric
local Hopf bifurcation theorem, we not only investigated the
effect of delay of signal transmission on the pattern formation
of model (3) but also obtained some important results
about the spontaneous bifurcation of multiple branches of
periodic solutions and their spatiotemporal patterns. From
a practical viewpoint, these means that the time delay could
cause a stable equilibrium to become unstable and cause
the properties in a coupled semiconductor lasers system to
fluctuate: if 𝜏 < 𝜏0 , the output power of the lasers reach
equilibrium. If 𝜏 increases and crosses the value 𝜏0 , then this
equilibrium becomes unstable and the output power has a
change of periodic and small amplitude.
Abstract and Applied Analysis
Acknowledgment
This research was supported by the National Natural Science
Foundations of China.
References
[1] A. P. S. Dias and J. S. W. Lamb, “Local bifurcation in symmetric
coupled cell networks: linear theory,” Physica D, vol. 223, no. 1,
pp. 93–108, 2006.
[2] D. Fan and J. Wei, “Hopf bifurcation analysis in a tri-neuron
network with time delay,” Nonlinear Analysis: Real World Applications, vol. 9, no. 1, pp. 9–25, 2008.
[3] S. Guo and L. Huang, “Hopf bifurcating periodic orbits in a ring
of neurons with delays,” Physica D, vol. 183, no. 1-2, pp. 19–44,
2003.
[4] C. Zhang, B. Zheng, and L. Wang, “Multiple Hopf bifurcations
of three coupled van der Pol oscillators with delay,” Applied
Mathematics and Computation, vol. 217, no. 17, pp. 7155–7166,
2011.
[5] K. Miyakawa and K. Yamada, “Entrainment in coupled saltwater oscillators,” Physica D, vol. 127, no. 3-4, pp. 177–186, 1999.
[6] H. Erzgräber, D. Lenstra, B. Krauskopf et al., “Mutually delaycoupled semiconductor lasers: mode bifurcation scenarios,”
Optics Communications, vol. 255, no. 4–6, pp. 286–296, 2005.
[7] L. Illing, G. Hoth, L. Shareshian, and C. May, “Scaling behavior
of oscillations arising in delay-coupled optoelectronic oscillators,” Physical Review E, vol. 83, no. 2, Article ID 026107, 2011.
[8] F. Drubi, S. IbánΜƒez, and J. A. Rodrı́guez, “Coupling leads to
chaos,” Journal of Differential Equations, vol. 239, no. 2, pp. 371–
385, 2007.
[9] J. Wu, “Symmetric functional-differential equations and neural
networks with memory,” Transactions of the American Mathematical Society, vol. 350, no. 12, pp. 4799–4838, 1998.
[10] M. Golubitsky, I. Stewart, and D. G. Schaeffer, Singularities
and Groups in Bifurcation Theory. Vol. II, vol. 69 of Applied
Mathematical Sciences, Springer, New York, NY, USA, 1988.
[11] C. Zhang, Y. Zhang, and B. Zheng, “A model in a coupled system
of simple neural oscillators with delays,” Journal of Computational and Applied Mathematics, vol. 229, no. 1, pp. 264–273,
2009.
9
Advances in
Operations Research
Hindawi Publishing Corporation
http://www.hindawi.com
Volume 2014
Advances in
Decision Sciences
Hindawi Publishing Corporation
http://www.hindawi.com
Volume 2014
Mathematical Problems
in Engineering
Hindawi Publishing Corporation
http://www.hindawi.com
Volume 2014
Journal of
Algebra
Hindawi Publishing Corporation
http://www.hindawi.com
Probability and Statistics
Volume 2014
The Scientific
World Journal
Hindawi Publishing Corporation
http://www.hindawi.com
Hindawi Publishing Corporation
http://www.hindawi.com
Volume 2014
International Journal of
Differential Equations
Hindawi Publishing Corporation
http://www.hindawi.com
Volume 2014
Volume 2014
Submit your manuscripts at
http://www.hindawi.com
International Journal of
Advances in
Combinatorics
Hindawi Publishing Corporation
http://www.hindawi.com
Mathematical Physics
Hindawi Publishing Corporation
http://www.hindawi.com
Volume 2014
Journal of
Complex Analysis
Hindawi Publishing Corporation
http://www.hindawi.com
Volume 2014
International
Journal of
Mathematics and
Mathematical
Sciences
Journal of
Hindawi Publishing Corporation
http://www.hindawi.com
Stochastic Analysis
Abstract and
Applied Analysis
Hindawi Publishing Corporation
http://www.hindawi.com
Hindawi Publishing Corporation
http://www.hindawi.com
International Journal of
Mathematics
Volume 2014
Volume 2014
Discrete Dynamics in
Nature and Society
Volume 2014
Volume 2014
Journal of
Journal of
Discrete Mathematics
Journal of
Volume 2014
Hindawi Publishing Corporation
http://www.hindawi.com
Applied Mathematics
Journal of
Function Spaces
Hindawi Publishing Corporation
http://www.hindawi.com
Volume 2014
Hindawi Publishing Corporation
http://www.hindawi.com
Volume 2014
Hindawi Publishing Corporation
http://www.hindawi.com
Volume 2014
Optimization
Hindawi Publishing Corporation
http://www.hindawi.com
Volume 2014
Hindawi Publishing Corporation
http://www.hindawi.com
Volume 2014
Download