This paper develops a global Hopf bifurcation theory for differential-algebraic equations with state-dependent delays, applying it to genetic regulatory models to analyze periodic oscillations.
Contribution
It introduces a novel global bifurcation framework for differential-algebraic equations with state-dependent delays using $S^1$-equivariant degree, with applications to biological models.
Findings
01
Established a global Hopf bifurcation theory for these equations.
02
Applied the theory to a genetic regulatory model with delay.
03
Described the continuation of periodic oscillations in the model.
Abstract
We develop a global Hopf bifurcation theory for differential equations with a state-dependent delay governed by an algebraic equation, using the S1-equivariant degree. We apply the global Hopf bifurcation theory to a model of genetic regulatory dynamics with threshold type state-dependent delay vanishing at the stationary state, for a description of the global continuation of the periodic oscillations.
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11institutetext: Qingwen Hu 22institutetext: Department of Mathematical Sciences, The University of Texas at Dallas,
800 West Campbell Road, Richardson, Texas, 75080 USA,
Global Hopf bifurcation for differential-algebraic equations with state dependent delay
Qingwen Hu
(Received: date / Accepted: date)
Abstract
We develop a global Hopf bifurcation theory for differential equations with a state-dependent delay governed by an algebraic equation, using the S1-equivariant degree. We apply the global Hopf bifurcation theory to a model of genetic regulatory dynamics with threshold type state-dependent delay vanishing at the stationary state, for a description of the global continuation of the periodic oscillations.
Consider the following system of differential-algebraic equations (DAEs) with state-dependent delay,
[TABLE]
where we assume that
S1)
The map f: RN×RN×R∋(θ1,θ2,σ)→f(θ1,θ2,σ)∈RN
is C2 (twice continuously differentiable).
S2)
The map g:
RN×RN×R∋(γ1,γ2,σ)→g(γ1,γ2,σ)∈R is C2.
(S3)
(∂θ1∂+∂θ2∂)f(θ1,θ2,σ)∣σ=σ0,θ1=θ2=xσ0
is nonsingular, where σ0∈R,
(xσ0,τσ0) (or, for simplicity,
(xσ0,τσ0,σ0)) is a stationary state
of (1.1). That is,
[TABLE]
(S3) implies that there exists ϵ0>0 and a
C1-smooth curve
(σ0−ϵ0,σ0+ϵ0)∋σ↦(xσ,τσ)∈RN+1 such that
(xσ,τσ) is the unique stationary state of
(1.1) in a small neighborhood of
(xσ0,τσ0) for σ close to
σ0. In the following, we write ∂if=∂θi∂f for i=1,2, and similarly we define ∂ig for i=1,2.
The state-dependent delay of system (1.1) arises in several applications. To mention a few, in the model of turning processes Turi-1 , the delay τ is the time duration for one around of cutting; In the echo control model Walther-echo , the state-dependent delay is the echo traveling time between the object’s positions when the sound is emitted and received. See HKWW for a review. To model diffusion processes in genetic regulatory dynamics with time delay, we considered in Hu-diffusion the following system:
[TABLE]
where f0,g0:R→R are three times continuously differentiable functions; μm, μp, c and ϵ0 are positive constants. The time delay τ(t)=ϵ0+c(x(t)−x(t−τ(t))) models the homogenization time of the substances produced in the regulatory processes. Since the equation for τ can be written as
[TABLE]
we call τ a threshold type state-dependent delay and we have shown in Hu-diffusion that using the time transformation t↦∫0t(1−cx˙(s))ds system (1.2) can be transformed into a system with constant delay and distributed delay under certain conditions.
In such a case, the theory we developed in HU-JDE-1 is applicable to system (1.2) for a local and global Hopf bifurcation theory. However, if ϵ0=0 in (1.2) and the integral equation for τ becomes
[TABLE]
which cannot be employed to remove the state-dependent delay using the time transformation t↦∫0t(1−cx˙(s))ds. Thus the global Hopf bifurcation theory developed in HU-JDE-1 is no longer applicable. We remark that if we obtain a differential equation of τ from τ(t)=ϵ0+c(x(t)−x(t−τ)) by taking derivatives on both sides, the resulting system will have a foliation of equilibria and at least one zero eigenvalue. The global Hopf bifurcation theory developed in MR2644135 is not applicable either. With these facts, we are motivated to develop a global Hopf bifurcation theory for system (1.1) and apply it to an extended three dimensional Goodwin’s model with state-dependent delay where the delay vanishes at equilibrium. (See system (5.1) at section 5
for a brief description of the model.)
To start the discussion, we denote by
C(R;RN) the normed space of bounded continuous
functions from R to RN equipped with the
usual supremum norm ∥x∥=supt∈R∣x(t)∣ for x∈C(R;RN), where ∣⋅∣ denotes the Euclidean
norm. We also denote by
C1(R;RN) the normed space of continuously differentiable
bounded functions with bounded derivatives from R to RN equipped with the
usual C1 norm
[TABLE]
for x∈C1(R;RN).
We wish to drop the part of the algebraic equation in (1.1) for the application of S1-equivariant degree. We have
Lemma 1.
Assume that (S2) holds. The following statements are true:
i)
For every (x,σ)∈C(R;RN)×R, where x is periodic, there exists a function τ:R→R such that τ(t)=g(x(t),x(t−τ(t)),σ).
2. ii)
Let x0 be a constant function in C(R;RN). There exists an open ball O(ϵ)⊂C1(R;RN) centered at x0, ϵ>0 such that for every periodic x∈O(ϵ) with period p>0, there exists a unique periodic τ∈C1(R;R) with period p such that τ(t)=g(x(t),x(t−τ(t)),σ),t∈R.
Proof.
Fix an arbitrary t∈R and let a=τ(t). Consider the graphs of h=a and h=g(x(t),x(t−a),σ) in the h-a plane. The graphs must have an intersection since x∈C(R;RN) is periodic and h=g(x(t),x(t−a),σ) is continuous and bounded with respect to a. Since t is arbitrary, there exists a function τ:R→R with a=τ(t) such that τ(t)=g(x(t),x(t−τ(t)),σ).
Define F:R2→R by F(a,t)=a−g(x(t),x(t−a),σ) where x∈C1(R;RN) is periodic. By (S2) F is continuously differentiable in (a,t)∈R. Moreover, a=τ(t) is such that F(a,t)=0. Note that we have
[TABLE]
Since by (S2) ∂2g(γ1,γ2,σ) is continuous, there exists open ball O(ϵ)⊂C1(R;RN) near xσ with ϵ>0, such that for every x∈O(ϵ) with x periodic, we have ∂a∂F=0. Indeed, we can choose ϵ>0 small enough so that ∂a∂F assumes values in a small neighborhood of 1 in R.
By the Implicit Function Theorem, the solution a=τ(t) of a=g(x(t),x(t−a),σ) for a is continuously differentiable with respect to t. Moreover,
by taking derivatives on both sides of τ(t)=g(x(t),x(t−τ(t)),σ) we know that τ˙ is bounded in R. That is, τ∈C1(R;R).
Next we show that we can choose ϵ>0 small enough so that τ is unique. Suppose not. Then for every ϵ>0, there exists x∈O(ϵ) with period p such that τ is not unique. That is, there exists τ0=τ such that τ0(t)=g(x(t),x(t−τ0(t)),σ).
Let ϵ1>0 and L>0 be such that
[TABLE]
Then by the Integral Mean Value Theorem, for x∈O(ϵ)⊂O(ϵ1), we have
[TABLE]
which leads to Lϵ≥1 for every ϵ∈(0,ϵ1). This is a contradiction. Therefore, τ is uniquely determined by x with τ(t)=g(x(t),x(t−τ(t)),σ),t∈R.
Lastly, we show that τ is p-periodic. Indeed, we have for every t∈R,
[TABLE]
which combined with τ(t)=g(x(t),x(t−τ(t)),σ) and the uniqueness of the solution for τ leads to τ(t)=τ(t+p),t∈R.
By Lemma 1, we notice that if x∈C(R;RN) is periodic, the function τ satisfying τ(t)=g(x(t),x(t−τ(t)),σ) is not necessarily continuous and neither is f(x(t),x(t−τ(t)),σ), while continuity is crucial for applying topological degree theory for a Hopf bifurcation. However, if x∈C1(R;RN) is periodic and is in a small neighborhood of a constant function, τ is continuously differentiable. The complexity is caused by the implicitly given τ in the algebraic equation of system (1.1). If we replace the delayed term x(t−τ(t)) with x(t−τσ) in the algebraic equation where τσ is the stationary state of τ, we obtain the following system with state-dependent delay,
[TABLE]
where τ is continuous if x is continuous. We notice that system (1.5) share the same set of stationary states of system (1.1) and it has interest on its own right since it also represents a class of differential-algebraic equations with state-dependent delay. Due to the similarities between systems (1.5) and (1.1), we are interested to develop global Hopf bifurcation theories for both systems, while for systems (1.5) we use the state space of C(R;RN) and for system (1.1) we use C1(R;RN). Moreover, we show that if system (1.5) undergoes Hopf bifurcation at (xσ0,τσ0), then system (1.1) also undergoes Hopf bifurcation at the same bifurcation point. Namely, we show that systems (1.5) and (1.1) share the same set of Hopf bifurcation points.
We organize the remaining part of the paper as following: Using the framework for a Hopf bifurcation theory established in MR2644135 , we develop a local Hopf bifurcation theory for system (1.5) in Section 2 and for system (1.1) in Section 3. We develop global Hopf bifurcation theories for both systems (1.1) and (1.5) in Section 4. In Section 5 we apply the developed local and global Hopf bifurcation theories to the prototype system (1.2) with ϵ0=0. We conclude the discussion in Section 6.
We begin with definitions of notations. We denote by V=C2π(R;RN) the space of 2π-periodic continuous functions from R to RN equipped with the supremum norm. We denote by C2π1(R;RN) the Banach space of 2π-periodic and continuously differentiable functions equipped with the C1 norm.
Note that if x∈C(R;RN) is p-periodic, then τ(t)=g(x(t),x(t−τσ),σ),t∈R is continuous and p-periodic. We call x a solution if (x,τ) satisfies system (1.5). For a stationary state x0 of system (1.5) with the
parameter σ0, we say that (x0,σ0) is a Hopf
bifurcation point of system (1.5), if there exist a sequence
{(xk,σk,Tk)}k=1+∞⊆C(R;RN)×R2 and T0>0 such that
[TABLE]
and (xk,σk) is a nonconstant Tk-periodic solution of
system (1.5).
Due to the nature of the same approach of using the S1-equivariant degree, the presentation of the remaining part of this section is similar to that of MR2644135 , even though the systems in question are different. We study Hopf
bifurcation of (1.5) through the system obtained through the formal linearization cooke1996problem . Namely, we freeze the state-dependent delay in system (1.5) at its stationary state and linearize the resulting differential equation of x with constant delay at the stationary state.
For σ∈(σ0−ϵ0,σ0+ϵ0), the following system is called the formal linearization of system (1.5) at the stationary point
xσ:
[TABLE]
where
[TABLE]
Letting x(t)=eωt⋅C+xσ with C∈RN, we obtain the following characteristic equation of the linear system corresponding to the inhomogeneous linear system (2.1),
[TABLE]
where Δ(xσ,σ)(ω) is an N×N
complex matrix defined by
[TABLE]
A solution ω0 to the characteristic equation (2.2) is called
a characteristic value of the stationary state
(xσ0,σ0). If zero is not a characteristic value of (xσ0,σ0), (xσ0,σ0) is said to be a nonsingular stationary state. We say that (xσ0,σ0) is a center if the set of nonzero purely imaginary characteristic values of (xσ0,σ0) is nonempty and discrete. (xσ0,σ0) is called an isolated center if it is the only center in some neighborhood of (xσ0,σ0) in RN×R.
If (xσ0,σ0) is
an isolated center of (2.1), then there exist β0>0 and
δ∈(0,ϵ0) such that
[TABLE]
and
[TABLE]
for any σ∈(σ0−δ,σ0+δ) and any β∈(0,+∞)∖{β0}.
Hence, we can
choose constants α0=α0(σ0,β0)>0 and
ε=ε(σ0,β0)>0 such that the
closure of the set Ω:=(0,α0)×(β0−ε,β0+ε)⊂R2≅C
contains no other zero of detΔ(xσ0,σ0)(⋅) in ∂Ω. We note that detΔ(xσ,σ)(ω) is analytic in ω and is continuous in σ. If δ>0 is small enough, then there is no zero of detΔ(xσ0±δ,σ0±δ)(ω) in ∂Ω. So
we can define the number
[TABLE]
and the crossing number of
(xσ0,σ0,β0) as
[TABLE]
where degB is the Brouwer degree in finite-dimensional spaces. See, e.g., kw , for details.
To formulate the Hopf bifurcation problem as a fixed point problem
in C2π(R;RN), we normalize
the period of the 2π/β-periodic solution x of (1.5) and the associated τ∈C(R;R) by setting
(x(t),τ(t))=(y(βt),z(βt)) and obtain
[TABLE]
where (yσ,zσ)=(xσ,τσ).
Define N0:V∋(y,σ,β)×R2→N0(y,σ,β)∈V by
[TABLE]
Then the part of differential equations of system (2.10) is rewritten as
If system (2.1) has a nonconstant periodic
solution with period T>0, then there exists an integer m≥1,m∈N such that ±im2π/T are characteristic values of the stationary state
(xσ,τσ,σ).
For the purpose of establishing the S1-degree on some special neighborhood near the stationary state, we have
Lemma 5.
Assume (S1)–(S3) hold. Let L0 and K be as in
Lemma 2 and N~0:V×R2→V be as in
(2.13). Let F~:V×R2→V be defined at (3.11). If B(y0,σ0,β0;r,ρ) is a special neighborhood of F with 0<ρ<β0, then there exists
r′∈(0,r] such that the neighborhood
[TABLE]
satisfies
[TABLE]
for (y,σ,β)∈B(y0,σ0,β0;r′,ρ) with y=yσ and
∣(σ,β)−(σ0,β0)∣=ρ.
Proof.
We prove by contradiction.
Suppose the statement is not true, then for any 0<r′≤r, there exists
(y,σ,β) such that
0<∥y−yσ∥<r′,∣(σ,β)−(σ0,β0)∣=ρ
and
[TABLE]
Then there exists a sequence of nonconstant periodic solutions
{(yk,σk,βk)}k=1∞
of (2.16)
such that
[TABLE]
where zk is chosen according to yk in light of Lemma 1 so that (yk,zk) is a solution of system (2.10).
Note that 0<ρ<β0 implies that βk≥β0−ρ>0
for every k∈N. Also, since the sequence
{σk,βk}k=1∞ belongs to a bounded
neighborhood of (σ0,β0) in R2, there
exists a convergent subsequence, still denoted by
{(σk,βk)}k=1∞ for notational simplicity, that converges to
(σ∗,β∗) so that
∣(σ∗,β∗)−(σ0,β0)∣=ρ and β∗>0. Then we have
[TABLE]
In the following we show that the system
[TABLE]
has a nonconstant periodic solution which contradicts the
assumption that (yσ0,σ0,β0) is the only
center of (2.13) in B(u0,σ0,β0;r,ρ).
By (S1), f: RN×RN×R∋(θ1,θ2,σ)→f(θ1,θ2,σ)∈RN
is C2 in (θ1,θ2). It follows
from the Integral Mean Value Theorem that
We claim that there exists a convergent subsequence of
{vk}k=1+∞. Indeed, by (2.17) and system (2.10), we know that {zk,βk}k=1+∞ is uniformly bounded in C(R;R)×R and hence
limt→+∞[t−βkzk(t)]=+∞. Then by (2.23) and
(2.24), we have
[TABLE]
Recall that ∂if(σ∗) and ∂ig(σ∗), i=1,2, are defined in (2.1).
By (2.19), we know that (yσk+s(yk(t)−yσk),yσk+s(yk(t−zk(t))−yσk),σk) converges to the stationary state (yσ∗,yσ∗,σ∗) in C(R;R2N)×R uniformly for all s∈[0,1].
By (S1) we know that f(θ1,θ2,σ) is C2 in (θ1,θ2,σ) and ∂1f(θ1,θ2,σ) is C1 in σ. Also, by (2.17), the sequence {uk,βk,σk}k=1+∞ is uniformly bounded in C(R;RN+1)×R2. Then there exists a constant L~1>0 so that
[TABLE]
for all t∈R, k∈N and s∈[0,1]. Therefore, we have limk→+∞∥∂1fk(σk,s)−∂1f(σ∗)∥=0 uniformly for s∈[0,1]. By the same argument we obtain that
[TABLE]
uniformly for s∈[0,1]. From (2.26) we know that
∥∂1fk(σk,s)∥ and ∥∂2fk(σk,s)∥ are both uniformly bounded for all
k∈N and s∈[0,1]. Then it follows from
(2.25) that there exists a constant L~2>0 such that ∥v˙k∥<L~2
for any k∈N. By the Arzela-Ascoli Theorem, there exists a
convergent subsequence {vkj}j=1+∞ of
{vk}k=1+∞. That is, there exists v∗∈{v∈V:∥v∥=1} such that
It follows from (2.19), (2.26), (2.27) and (2.30)
that the right hand side of (2.25) converges uniformly to
the right hand side of (2.21). Therefore, v∗ is differentiable and we have
[TABLE]
and
[TABLE]
Since by (S3) the
matrix
∂1f(σ∗)+∂2f(σ∗), is nonsingular, v=0 is the only constant solution of
(2.31). Also, we have v∗∈{v∈V:∥v∥=1}, ∥v∗∥=0. Therefore,
(v∗(t),σ∗,β∗) is a nonconstant
periodic solution of the linear equation (2.31). Then by Lemma 4(yσ∗,σ∗,β∗) is also a center of
(2.13) in B(y0,σ0,β0;r,ρ). This contradicts the assumption that
B(y0,σ0,β0;r,ρ) is a special neighborhood
of (2.10). This completes the proof.
To apply the homotopy argument of S1-degree, we show the following
Lemma 6.
Assume (S1)–(S3) hold. Let L0, K, N~0, F~ be as in Lemma 5 and N0:V×R2→V be as in (2.10). Define the map F:V×R2→V by
[TABLE]
If U=B(y0,σ0,β0;r,ρ)⊆V×R2 is a special neighborhood of
F~ with 0<ρ<β0, then there exists
r′∈(0,r] such that
Fθ=(F,θ) and
F~θ=(F~,θ) are
homotopic on B(y0,σ0,β0;r′,ρ),
where θ is a completing function (or Ize’s function) defined on
B(y0,σ0,β0;r′,ρ) which satisfies
i)
θ(yσ,σ,β)=−∣(σ,β)−(σ0,β0)∣* if (yσ,σ,β)∈Uˉ;*
2. ii)
θ(y,σ,β)=r′* if ∥y−yσ∥=r′.*
Proof.
Since U=B(y0,σ0,β0;r,ρ)⊆V×R2 is a special neighborhood of
F~ with 0<ρ<β0, then by Lemma 5, both Fθ=(F,θ) and
F~θ=(F,θ) are U-admissible. That is, the S1
degrees of Fθ and F~θ are well-defined on U.
Suppose, for contradiction, that the conclusion is not true. Then for any r′∈(0,r],
Fθ=(F,θ) and
F~θ=(F~,θ) are not homotopic
on B(y0,σ0,β0;r′,ρ). That is, any homotopy map between
Fθ and F~θ has a zero on the boundary of B(y0,σ0,β0;r′,ρ). In particular, the linear homotopy h(⋅,α):=αFθ+(1−α)F~θ=(αF+(1−α)F~,θ) has a zero on the boundary of B(y0,σ0,β0;r′,ρ), where α∈[0,1].
Note that θ(y,σ,β)>0 if
∥y−yσ∥=r′.
Then, there exist
(y,σ,β) and α∈[0,1] such that
∥y−yσ∥<r′,∣(σ,β)−(σ0,β0)∣=ρ
and
[TABLE]
Since r′>0 is arbitrary in the interval (0,r], there exists a
nonconstant sequence
{(yk,σk,βk,αk)}k=1∞ of
solutions of (2.32) such that
[TABLE]
Note that 0<ρ<β0 implies that βk≥β0−ρ>0
for every k∈N. From (2.33) we know that
{(σk,βk,αk)}k=1∞ belongs to a
compact subset of R3. Therefore, there exist a
convergent subsequence, denoted for notational simplicity by
{(σk,βk,αk)}k=1∞ without loss of
generality, and (σ∗,β∗,α∗)∈R3
such that β∗≥β0−ρ>0, α∗∈[0,1] and
[TABLE]
By the same token for the proof of Lemma 5, we show that the
system
[TABLE]
with ∂if(σ∗),∂ig(σ∗),i=1,2, defined at (2.1), has a nonconstant periodic solution which contradicts the
assumption that B(u0,σ0,β0;r,ρ) is a special neighborhood which contains an
isolated center of (2.13).
By (2.34), we know that the subsequence
{(yk,σk,βk,αk)}k=1∞
satisfies
[TABLE]
By (S1), f: RN×RN×R∋(θ1,θ2,σ)→f(θ1,θ2,σ)∈RN
is C2 in (θ1,θ2). Then it follows
from the Integral Mean Value Theorem and from (2.37) that
We show that there exists a convergent subsequence of
{vk}k=1+∞. Indeed, by (2.33) we know that {zk,βk}k=1+∞ is uniformly bounded in C(R;R)×R. Therefore we have
[TABLE]
By (2.39),
(2.40) and (2.42), we have ∥vk∥=1,∥vk(⋅−βkzk)∥=1. Note that by (S1) and (2.35) and by an argument similar yielding (2.26), we know that
[TABLE]
uniformly for s∈[0,1]. We know from (2.43) that
∥∂1fk(σk,s)∥, ∥∂2fk(σk,s)∥,
are both uniformly bounded for every
k∈N and s∈[0,1]. It follows from
(2) that there exists L~3>0 such that ∥v˙k∥<L~3
for every k∈N. By the Arzela-Ascoli Theorem, there exists a convergent
subsequence {vkj}j=1+∞ of
{vk}k=1+∞. That is, there exists v∗∈{v∈V:∥v∥=1} such that
[TABLE]
By the Integral Mean Value Theorem, we obtain for all t∈R,
It follows from (2.35), (2.43), (2.44) and (2.47)
that the right hand side of (2) converges uniformly to
the right hand side of (2.36). Therefore,
[TABLE]
and
[TABLE]
Noticing that v∗∈{v:∥v∥=1}, we have ∥v∗∥=0. Since the matrix
∂1f(σ∗)+∂2f(σ∗) is nonsingular, v∗ is a nonconstant periodic
solution of (2.49).
Then by Lemma 4(yσ∗,σ∗,β∗) is also a center of
(2.13) in B(y0,σ0,β0;r,ρ). This contradicts the assumption that
B(y0,σ0,β0;r,ρ) is a special neighborhood
of (2.13) which contains only one center (y0,σ0,β0). This completes the proof.
Now we are in the position to prove a local Hopf bifurcation
theorem for system (1.5).
Theorem 2.1.
Assume (S1)–(S3) hold. Let (xσ0,σ0) be
an isolated center of system
(2.1). If the crossing number defined by (2.5) satisfies
[TABLE]
then there exists a bifurcation of nonconstant periodic
solutions of (1.5) near
(xσ0,σ0). More precisely, there exists a
sequence {(xn,σn,βn)} such that σn→σ0,
βn→β0 as n→∞, and
limn→∞∥xn−xσ0∥=0, where
[TABLE]
is a nonconstant 2π/βn-periodic solution of system (1.5).
Proof.
Let (x,τ) be a solution of system (1.5) with x being 2π/β-periodic and β>0. Let (x(t),τ(t))=(y(βt),z(βt)). Then
system (1.5) is transformed to
[TABLE]
Then x is a 2π/β-periodic solution of system (1.5)
if and only if y is a 2π-periodic solution of system (2.52).
Let
V=C2π(R;RN). For any ξ=eiν∈S1, u∈V, (ξu)(t):=u(t+ν). Recall that δ and ε are defined before (2.5). Let
D(σ0,β0)=(σ0−δ,σ0+δ)×(β0−ε,β0+ε) and define the maps
[TABLE]
where
(σ,β)∈D(σ0,β0) and
t∈R, and (yσ,zσ) is
the stationary state of the system at σ such that yσ0=xσ0. The space V is a Banach
representation of the group G=S1.
Define the operator K:V→RN by
[TABLE]
By Lemma 2, the operator L0+K:C2π1(R;RN)→V has a compact inverse
(L0+K)−1:V→V.
Then, finding a 2π/β-periodic solution for the system
(1.5) is equivalent to finding a solution of the following
fixed point problem:
[TABLE]
where (y,σ,β)∈V×R×(0,+∞).
Define the following maps F:V×R×(0,+∞)→V and F~:V×R×(0,+∞)→V by
[TABLE]
Finding a
2π/β-periodic solution of system (1.5) is
equivalent to finding the solution of the problem
[TABLE]
The idea of the proof in the sequel
is to verify all the conditions (A1)-(A6) for applying Theorem 2.4 on Hopf bifurcation developed in MR2644135 :
(A1)
V has an S1-isotypical decomposition V=⊕k=0∞Vk and for each integer k=0,1,2⋯, the subspace Vk is of finite dimension.
2. (A2)
There exists a compact resolvent K of L0 such that for every fixed parameter (σ,β)∈R2,
(L0+K)−1∘[N0(⋅,σ,β)+K]:V→V is a condensing map.
3. (A3)
There exists a 2-dimensional submanifold M⊂V0×R2 such that i) M⊂F−1(0); ii) if (y0,σ0,β0)∈M, then there exists an open neighborhood U(σ0,β0) of (σ,β) in R2 , an open neighborhood Uy0 of U0 in V0, and a C1-map η:U(σ0,β0)→Uy0 such that M∩(Uy0×U(σ0,β0))={(η(σ,β),(σ,β)):(σ,β)∈U(σ0,β0)}.
4. (A4)
M⊂F~−1(0) and for every fixed parameter (σ,β)∈R2,
(L0+K)−1∘[N~0(⋅,σ,β)+K]:V→V is a condensing map.
5. (A5)
There exist r>0 and ρ>0 so that B(y0,σ0,β0;r,ρ) is a special neighborhood of F and there exists
r′∈(0,r] such that F(y,σ,β)=0
for (y,σ,β)∈B(y0,σ0,β0;r′,ρ) with y=η(σ,β) and
∣(σ,β)−(σ0,β0)∣=ρ.
6. (A6)
DuF(y0,σ0,β0):V0→V0 is an isomorphism.
By (S1) we know that the linear operator N~0 is
continuous. By Lemma 3, we know that
N0(⋅,σ,β):V→V is continuous.
Moreover, by Lemma 2 the operator (L0+K)−1:V→V is compact and hence
(L0+K)−1∘(β1N0(⋅,α,β)+K):V→V and
(L0+K)−1∘(β1N~0(⋅,α,β)+K):V→V are completely continuous and hence are
condensing maps. That is, (A2) and (A4) are satisfied.
Since (xσ0,σ0)=(yσ0,σ0) is an isolated center of system (2.1) with a purely imaginary characteristic value iβ0, β0>0, (yσ0,σ0,β0)∈V×R×(0,+∞) is an isolated V-singular point of
F~. That is, (yσ0,σ0,β0) is the only point in V such that the derivative DyF(yσ0,σ0,β0) is not an automorphism of V. One can define the following two-dimensional
submanifold M⊂VG×R×(0,+∞) by
[TABLE]
such that the point (yσ0,σ0,β0) is the
only V-singular point of F~ in M. M is the set of
trivial solutions to the system (2.1) and satisfies the
assumption (A3).
Since (yσ0,σ0,β0)∈V×R×(0,+∞) is an isolated V-singular point of
F~, for ρ>0 sufficiently small, the linear operator
DuF~(yσ,σ,β):V→V with ∣(σ,β)−(σ0,β0)∣<ρ, is not an automorphism only if (σ,β)=(σ0,β0).
Then, by the Implicit Function Theorem, there exists r>0 such that for every (y,σ,β)∈V×R×(0,+∞) with ∣(σ,β)−(σ0,β0)∣=ρ and 0<∥y−yσ∥≤r, we have
F~(y,σ,β)=0. Then the set B(x0,σ0,β0;r,ρ) defined by
[TABLE]
is a special neighborhood for F~.
By Lemma 5, there exists a special neighborhood
U=B(yσ0,σ0,β0;r′,ρ) such that
F and F~ are
nonzero for
(y,σ,β)∈B(yσ0,σ0,β0;r′,ρ) with y=yσ and
∣(σ,β)−(σ0,β0)∣=ρ. That is, (A5) is satisfied.
Let θ be a completing function on U. It
follows from Lemma 6 that (F,θ) is homotopic to
(F~,θ) on
U.
It is known that V has the following isotypical direct sum
decomposition
[TABLE]
where V0 is the space of all constant mappings from R into RN, and Vk with k>0, k∈N is the vector space of all mappings of the form
[TABLE]
where x,y∈RN.
Then Vk, k>0,k∈N, are finite dimensional. Then, (A1) is satisfied.
For (σ,β)∈D(σ0,β0), we denote by Ψ(σ,β) the map DyF(y(σ),σ,β):V→V. Then we have Ψ(σ,β)(Vk)⊂Vk for all
k=0,1,2,⋯. Therefore, we can define Ψk:D(σ0,β0)→L(Vk,Vk) by
[TABLE]
We note that Vk, k≥1,k∈N, can be endowed with the natural complex structure J:Vk→Vk defined by
[TABLE]
By extending the linearity of J to the vector space spanned over the field of complex numbers by eik⋅⋅ϵj:R∋t→eikt⋅ϵj∈CN,j=1,2,⋯,N, we know that
[TABLE]
is a basis of Vk, where
{ϵ1,ϵ2,⋯,ϵN} denotes the
standard basis of RN. Then we identify Vk with the vector space over the complex numbers spanned by
eik⋅⋅ϵj,j=1,2,⋯,N.
Then we have for vk∈Vk, k∈Z, k≥1,
[TABLE]
where (vk)βzσ=vk(⋅−βzσ). Then we have, for eik⋅ϵj∈Vk,
[TABLE]
where the last equality follows from (2.3).
Therefore, the matrix representation [Ψk] of Ψk(σ,β)
with respect to the ordered C-basis
{eik⋅ϵj}j=1N
is given by
[TABLE]
Next we show that there exists
some k∈Z, k≥1, such that
μk(yσ0,σ0,β0):=degB(detC[Ψk])=0.
Define ΨH:D(σ0,β0)→R2≃C by
[TABLE]
The number
μ1(yσ0,σ0,β0) can be written as follows (see Theorem 7.1.5 of kw ):
[TABLE]
where ϵ=signdetΨ0(σ,β) for
(σ,β)∈D(σ0,β0). For a constant map v0∈V0,
[TABLE]
Then, by (S3), we have
ϵ=0 and therefore (A6) is satisfied.
Note that α0,β0,δ and ε are chosen at (2.5). Define the function
H:[σ0−δ,σ0+δ]×Ω→R2≃C
by
[TABLE]
where
Ω=(0,α0)×(β0−ε,β0+ε),
α0=α0(σ0,β0)>0. By the same argument for (2.4) and (2.5), we know that H satisfies all the
conditions of Lemma 2.1 of MR2644135 (or Lemma 7.2.1 of kw ) by the choice of
α0,β0,ε and δ. So we have
[TABLE]
Thus, μ1(yσ0,σ0,β0)=0 which, by
Theorem 2.4 of MR2644135 , implies that (yσ0,σ0,β0) is a bifurcation point of the
system (2.52). Consequently, there exists a sequence of
non-constant periodic solutions
(xn,σn,βn)
such that σn→σ0, βn→β0 as n→∞, and xn is a
2π/βn-periodic solution of (1.5) such that the associated pair (xn,τn) with τn(t)=g(xn(t),xn(t−τn(t)),σn) satisfies (1.5) with
limn→+∞∥(xn,τn)−(xσ0,τσ0)∥=0.
Now we consider the local Hopf bifurcation problem of system (1.1). By Lemma 1, we know that if x∈C1(R;RN) is p-periodic and is in a small neighborhood O(ϵ) of xσ, there exists a unique p-periodic τ∈C1(R;R) such that τ(t)=g(x(t),x(t−τ(t)),σ),t∈R. We call x a solution if (x,τ) satisfies system (1.5).
For a stationary state x0 of system (1.1) with the
parameter σ0, we say that (x0,σ0) is a Hopf
bifurcation point of system (1.1), if there exist a sequence
{(xk,σk,Tk)}k=1+∞⊆C1(R;RN)×R2 and T0>0 such that
[TABLE]
and (xk,σk) is a nonconstant Tk-periodic solution of
system (1.1).
We freeze the state-dependent delay in system (1.1) at its stationary state and linearize the resulting differential equation of x with constant delay at the stationary state.
For σ∈(σ0−ϵ0,σ0+ϵ0), the following formal
linearization of system (1.1) at the stationary point
xσ:
[TABLE]
where
[TABLE]
Notice that the system (3.1) is the same as system (2.1) and hence they share the same characteristic equations.
Let (xσ0,σ0) be
an isolated center of (2.1) and let O(ϵ0)⊂C1(R;RN) be a neighborhood of xσ0. In the following we confine the discussion with x∈O(ϵ0)⊂C1(R;RN), where by Lemma 1, ϵ0>0 is chosen so that every p-periodic x∈O(ϵ0)⊂C1(R;RN) determines a unique continuously differentiable p-periodic τ.
Now we formulate the Hopf bifurcation problem as a fixed point problem
in C1(R;RN). We normalize
the period of the 2π/β-periodic solution x∈O(ϵ0) of (1.5) and the associated τ∈C1(R;R) by setting
(x(t),τ(t))=(y(βt),z(βt)). We obtain
[TABLE]
Let W=O(ϵ0)∩C2π1(R;RN). Define N1:W∋(y,σ,β)×R2→N1(y,σ,β)∈C2π1(R;RN) by
[TABLE]
Then the equation for y˙ in system (3.6) is rewritten as
where N~1:W∋(y,σ,β)×R2→N~1(y,σ,β)∈C2π1(R;RN) is defined by
[TABLE]
with (yσ,zσ)=(xσ,τσ).
We note that y is 2π-periodic if and only if x
is (2π/β)-periodic.
Let L0:C2π1(R;RN)→C2π(R;RN) be defined by L0y(t)=y˙(t),t∈R
and K:C2π1(R;RN)→RN
be defined by
[TABLE]
Define the map F~:W×R2→C2π1(R;RN) by
[TABLE]
We suppose that the set defined by
[TABLE]
is a special neighborhood of F
which satisfies
i)
F(y,σ,β)=0 for every (y,σ,β)∈B(y0,σ0,β0;r,ρ) with ∣(σ,β)−(σ0,β0)∣=ρ and ∥y−yσ∥C1=0;
2. ii)
(y0,σ0,β0) is the only isolated center in
B(y0,σ0,β0;r,ρ).
Before we state and prove our local Hopf bifurcation theorem, we
need the following technical Lemmas.
Lemma 7.
Let L0:C2π1(R;RN)→C2π(R;RN) be defined by L0y(t)=y˙(t),t∈R and let K:C2π1(R;RN)→RN
be defined at (3.10). Then the inverse (L0+K)−1:C2π(R;RN)→C2π1(R;RN) exists and is continuous.
Proof.
By the proof of Lemma 3.1 in MR2644135 , L0+K:C2π1(R;RN)→C2π(R;RN) is one-to-one and onto. Moreover,
(L0+K)−1:C2π(R;RN)→C2π1(R;RN) is continuous.
Lemma 8.
For any σ∈R and β>0, the map N1(⋅,σ,β):W→C2π1(R;RN) defined by (3.7) is continuous.
Proof.
Let {yn}n=1∞⊂W be a convergent sequence with limit y0∈W. By Lemma 1, {yn}n=1∞⊂W uniquely determines a sequence {zn}n=1∞⊂C2π1(R;R) satisfying
[TABLE]
Moreover, there exists z0∈C2π1(R;R) such that
τ0(t)=g(y0(t),y0(t−τ0(t)),σ),t∈R and
[TABLE]
By taking derivatives on both sides of zn(t)=g(yn(t),y(t−βzn(t),σ) we obtain that
[TABLE]
Notice that, we have
[TABLE]
Using the Triangle Inequality and the Integral Mean Value Theorem, and noticing from (S2) that g is C2, we can show that
[TABLE]
Therefore, by (3.13) and (3.14) we have limn→∞supt∈[0,2π]∣z˙n(t)−z˙0(t)∣=0 which combined with (3.12) leads to limn→∞∥zn−z0∥C1=0.
Next we show that N1:W→C2π1(R;RN) defined by
N1(y,σ,β)(t)=f(y(t),y(t−βz(t)),σ) is continuous. That is,
[TABLE]
By the proof of Lemma 3.2 in MR2644135 , we know that the restriction N1\vlineC2π(R;RN) is a continuous map from C2π(R;RN) to C2π(R;RN). Therefore, we have
[TABLE]
Moreover, since limn→∞∥yn−y0∥C1=0
and limn→∞∥zn−z0∥C1=0.
we can use the Triangle Inequality and the Integral Mean Value Theorem to obtain that
[TABLE]
By (3.17) and (3), N1:W→C2π1(R;RN) is continuous.
To establish the S1-degree on some special neighborhood near the stationary state, we have
Lemma 9.
Assume (S1)–(S3) hold. Let L0 and K be as in
Lemma 7 and N~1:W×R2→C2π1(R;RN) be as in
(3.9). Let F~:W×R2→C2π1(R;RN) be defined at (3.11). If B(y0,σ0,β0;r,ρ) is a special neighborhood of F with 0<ρ<β0, then there exists
r′∈(0,r] such that the neighborhood
[TABLE]
satisfies
[TABLE]
for (y,σ,β)∈B(y0,σ0,β0;r′,ρ) with y=yσ and
∣(σ,β)−(σ0,β0)∣=ρ.
Proof.
We prove by contradiction.
Suppose the statement is not true, then for any 0<r′≤r, there exists
(y,σ,β) such that
0<∥y−yσ∥C1<r′,∣(σ,β)−(σ0,β0)∣=ρ
and
[TABLE]
Then there exists a sequence of nonconstant periodic solutions
{(yk,σk,βk)}k=1∞
of (3.19)
such that
[TABLE]
where zk is chosen according to yk in light of Lemma 1 so that (yk,zk) is a solution of system (3.6).
Note that 0<ρ<β0 implies that βk≥β0−ρ>0
for every k∈N. Also, since the sequence
{σk,βk}k=1∞ belongs to a bounded
neighborhood of (σ0,β0) in R2, there
exists a convergent subsequence, still denoted by
{(σk,βk)}k=1∞ for notational simplicity, that converges to
(σ∗,β∗) so that
∣(σ∗,β∗)−(σ0,β0)∣=ρ and β∗>0. Then we have
[TABLE]
We need to show that the system
[TABLE]
has a nonconstant periodic solution which contradicts the
assumption that (yσ0,σ0,β0) is the only
center of (3.9) in B(u0,σ0,β0;r,ρ). But (3.22) implies that
[TABLE]
Then by the same argument in the proof of Lemma 5, (3.24) has a nonconstant periodic solution.
This completes the proof.
To apply the homotopy argument of S1-degree, we show the following
Lemma 10.
Assume (S1)–(S3) hold. Let L0, K, N~1, F~ be as in Lemma 9 and N1:W×R2→C2π1(R;RN) be as in (3.6). Define the map F:W×R2→C2π1(R;RN) by
[TABLE]
If U=B(y0,σ0,β0;r,ρ)⊆W×R2 is a special neighborhood of
F~ with 0<ρ<β0, then there exists
r′∈(0,r] such that
Fθ=(F,θ) and
F~θ=(F~,θ) are
homotopic on B(y0,σ0,β0;r′,ρ),
where θ is a completing function (or Ize’s function) defined on
B(y0,σ0,β0;r′,ρ) which satisfies
i)
θ(yσ,σ,β)=−∣(σ,β)−(σ0,β0)∣* if (yσ,σ,β)∈Uˉ;*
2. ii)
θ(y,σ,β)=r′* if ∥y−yσ∥C1=r′.*
Proof.
Since U=B(y0,σ0,β0;r,ρ)⊆W×R2 is a special neighborhood of
F~ with 0<ρ<β0, then by Lemma 9, both Fθ=(F,θ) and
F~θ=(F,θ) are U-admissible. For contradiction, suppose that the conclusion is not true. Then for any r′∈(0,r],
Fθ=(F,θ) and
F~θ=(F~,θ) are not homotopic
on B(y0,σ0,β0;r′,ρ). That is, any homotopy map between
Fθ and F~θ has a zero on the boundary of B(y0,σ0,β0;r′,ρ). In particular, the linear homotopy h(⋅,α):=αFθ+(1−α)F~θ=(αF+(1−α)F~,θ) has a zero on the boundary of B(y0,σ0,β0;r′,ρ), where α∈[0,1].
Note that θ(y,σ,β)>0 if
∥y−yσ∥C1=r′.
Then, there exist
(y,σ,β) and α∈[0,1] such that
∥y−yσ∥C1<r′,∣(σ,β)−(σ0,β0)∣=ρ
and
[TABLE]
Since r′>0 is arbitrary in the interval (0,r], there exists a
nonconstant sequence
{(yk,σk,βk,αk)}k=1∞ of
solutions of (3.26) such that
[TABLE]
Note that 0<ρ<β0 implies that βk≥β0−ρ>0
for every k∈N. From (3.27) we know that
{(σk,βk,αk)}k=1∞ belongs to a
compact subset of R3. Therefore, there exist a
convergent subsequence, denoted for notational simplicity by
{(σk,βk,αk)}k=1∞ without loss of
generality, and (σ∗,β∗,α∗)∈R3
such that β∗≥β0−ρ>0, α∗∈[0,1] and
[TABLE]
By the same token for the proof of Lemma 5, we show that the
system
[TABLE]
with ∂if(σ∗),∂ig(σ∗),i=1,2, defined at (2.1), has a nonconstant periodic solution which contradicts the
assumption that B(u0,σ0,β0;r,ρ) is a special neighborhood which contains an
isolated center of (3.9). Since (3.27) implies
limk→+∞∥yk−yσk∥=0, by the same argument in the proof of Lemma 10 we know that system 3.30 have a nonconstant periodic solution. This is a contradiction.
Now we are in the position to prove the local Hopf bifurcation
theorem for system (1.1).
Theorem 3.1.
Assume (S1)–(S3) hold. Let (xσ0,σ0) be
an isolated center of system
(2.1). If the crossing number defined by (2.5) satisfies
[TABLE]
then there exists a bifurcation of nonconstant periodic
solutions of (1.1) near
(xσ0,σ0). More precisely, there exists a
sequence {(xn,σn,βn)} such that σn→σ0,
βn→β0 as n→∞, and
limn→∞∥xn−xσ0∥C1=0, where
[TABLE]
is a nonconstant 2π/βn-periodic solution of system (1.5).
Proof.
Let (x,τ) be a solution of system (1.5) with x being 2π/β-periodic and β>0. Let (x(t),τ(t))=(y(βt),z(βt)). Then
system (1.1) is transformed to
[TABLE]
Then x is a 2π/β-periodic solution of system (1.5)
if and only if y is a 2π-periodic solution of system (3.33).
Let W=O(ϵ0)∩C2π1(R;RN). For any ξ=eiν∈S1, u∈W, (ξu)(t):=u(t+ν). The idea of the proof in the sequel
is to verify all the conditions (A1)-(A6) listed in the proof of Theorem 2.1 for applying Theorem 2.4 on Hopf bifurcation developed in MR2644135 .
Recall that δ and ε are defined before (2.5). Let
D(σ0,β0)=(σ0−δ,σ0+δ)×(β0−ε,β0+ε) and define the maps
[TABLE]
where
(σ,β)∈D(σ0,β0) and
t∈R, and (yσ,zσ) is
the stationary state of the system at σ such that yσ0=xσ0. The space C2π1(R;RN) is a Banach
representation of the group G=S1.
Define the operator K:C2π1(R;RN)→RN by
[TABLE]
By Lemma 2, the operator L0+K:C2π1(R;RN)→C2π(R;RN) has a compact inverse
(L0+K)−1.
Then, finding a 2π/β-periodic solution for the system
(1.1) is equivalent to finding a solution of the following
fixed point problem:
[TABLE]
where (y,σ,β)∈W×R×(0,+∞).
By (S1) we know that the linear operator N~1 is
continuous. By Lemma 8, we know that
N1(⋅,σ,β):W→C2π1(R;RN) is continuous.
Moreover, by Lemma 7 the operator (L0+K)−1:C2π(R;RN)→C2π1(R;RN) is continuous. Noticing that the embedding j:C2π1(R;RN)↪C2π(R;RN) is compact, we obtain that
(L0+K)−1∘(β1N1(⋅,α,β)+K):W→C2π1(R;RN) and
(L0+K)−1∘(β1N~1(⋅,α,β)+K):W→C2π1(R;RN) are completely continuous and hence are
condensing maps. That is, (A2) and (A4) are satisfied.
Define the following maps F:W×R×(0,+∞)→C2π1(R;RN) and F~:W×R×(0,+∞)→C2π1(R;RN) by
[TABLE]
which are equivariant condensing fields. Finding a
2π/β-periodic solution of system (1.5) is
equivalent to finding the solution of the problem
[TABLE]
Since (xσ0,σ0)=(yσ0,σ0) is an isolated center of system (2.1) with a purely imaginary characteristic value iβ0, β0>0, (yσ0,σ0,β0)∈W×R×(0,+∞) is an isolated singular point of
F~. That is, (yσ0,σ0,β0) is the only point in W such that the derivative DyF(yσ0,σ0,β0) is not an automorphism of C2π1(R;RN). One can define the following two-dimensional
submanifold M⊂VG×R×(0,+∞) by
[TABLE]
such that the point (yσ0,σ0,β0) is the
only singular point of F~ in M. M is the set of
trivial solutions to the system (2.1) and satisfies the
assumption (A3).
Since (yσ0,σ0,β0)∈W×R×(0,+∞) is an isolated singular point of
F~, for ρ>0 sufficiently small, the linear operator
DuF~(yσ,σ,β):W→C2π1(R;RN) with ∣(σ,β)−(σ0,β0)∣<ρ, is not an automorphism only if (σ,β)=(σ0,β0).
Then, by the Implicit Function Theorem, there exists r>0 such that for every (y,σ,β)∈W×R×(0,+∞) with ∣(σ,β)−(σ0,β0)∣=ρ and 0<∥y−yσ∥≤r, we have
F~(y,σ,β)=0. Then the set B(x0,σ0,β0;r,ρ) defined by
[TABLE]
is a special neighborhood for F~.
By Lemma 9, there exists a special neighborhood
U=B(yσ0,σ0,β0;r′,ρ) such that
F and F~ are
nonzero for
(y,σ,β)∈B(yσ0,σ0,β0;r′,ρ) with y=yσ and
∣(σ,β)−(σ0,β0)∣=ρ. That is, (A5) is satisfied.
Let θ be a completing function on U. It
follows from Lemma 10 that (F,θ) is homotopic to
(F~,θ) on
U. It is known that C2π1(R;RN) has the following isotypical direct sum
decomposition
[TABLE]
where V0 is the space of all constant mappings from R into RN, and Vk with k>0, k∈N is the vector space of all mappings of the form
[TABLE]
where x,y∈RN.
Then Vk, k>0,k∈N, are finite dimensional. Then, (A1) is satisfied.
The verification of (A6) and the computation of the crossing number γ(yσ0,σ0,β0)=0 is the same as that in the proof of Theorem 2.1. We omit the details here. Then by Theorem 2.4 of MR2644135 , (yσ0,σ0,β0) is a bifurcation point of the
system (3.33). Consequently, there exists a sequence of
non-constant periodic solutions
(xn,σn,βn)
such that σn→σ0, βn→β0 as n→∞, and xn is a
2π/βn-periodic solution of (1.1) such that xn satisfies (1.1) with
limn→+∞∥xn−xσ0∥C1=0.
4 Global Bifurcation of DAEs with State-dependent Delays
In this section we use Rabinowitz type global Hopf bifurcation Theorem 2.5 developed in MR2644135 to describe the maximal
continuation of bifurcated periodic solutions with large amplitudes
when the bifurcation parameter σ is far away from the
bifurcation value. Note that systems (1.1) and (1.5) share the same differential equation for x and differ only in the algebraic equation for the state-dependent delay τ. Moreover, by Theorems 2.1
and 3.1, both systems share the same set of Hopf bifurcation points. In the following, we state results in terms of system (1.1), which are also applicable to system (1.5).
Let X be a Banach space, v:R→X be a
p-periodic function with the following properties:
(i)
v∈Lloc1(R,X);
2. (ii)
there exists U∈L1([0,2p];R+)
such that ∣v(t)−v(s)∣≤U(t−s) for almost every (in the sense of the Lebesgue measure)s,t∈R such that s≤t,
t−s≤2p;
3. (iii)
∫0pv(t)dt=0.
Then
[TABLE]
We make the following assumption on f:
(S4)
There exists constant Lf>0 such that
[TABLE]
for every
θ1,θ2,θ1,θ2,σ∈R.
Lemma 12.
Suppose that system (1.1) satisfies the assumption
(S4) and x is a nonconstant periodic
solution. The following statements are true.
i)
If ∥τ∥L∞<2Lf1, then the minimal period p of x satisfies
[TABLE]
2. ii)
If τ is continuously differentiable in R, then the minimal period p of x satisfies
[TABLE]
3. iii)
Suppose there exists a constant Lg>0 such that
[TABLE]
for every
θ1,θ2,θ1,θ2,σ∈R.
If ∥x˙∥L∞<Lg1, then the minimal period p of x satisfies
[TABLE]
Proof.
Assume that x is a nonconstant periodic
solution with minimal period p.
Let v(t)=x˙(t). Then we have ∫0pv(t)dt=0. For s≤t, by (S4)
and the Integral Mean Value Theorem, we have
To describe the minimal periods of the periodic solutions near the bifurcation point, we need the following result which was first established in MY for
ordinary differential equations and was extended to other types of delay differential equations in Wu-1 ; MR2644135 .
Lemma 13.
Suppose that system (1.1) satisfies (S1–S4). Assume further that there exists a sequence of real numbers
{σk}k=1∞ such that:
(i)
For each k, system (1.5) with
σ=σk has a nonconstant periodic solution
xk∈C(R;RN+1) with the minimal period Tk>0, and one of the conditions i), ii) and iii) at Lemma 12 is satisfied by (xk,τk);
2. (ii)
k→∞limσk=σ0∈R,
k→∞limTk=T0<∞, and
k→∞lim∥xk−x0∥=0, where
x0:R→RN is a constant map with the value x0.
Then x0 is a stationary state of (1.1) and
there exists m≥1,m∈N such that ±im2π/T0 are the roots of the
characteristic equation (2.2) with σ=σ0.
Proof.
By Lemma 12 and the uniform convergence of {(xk,σk,Tk)}k=1∞ we conclude that there exists T∗>0 such that Tk≥T∗ and therefore T0≥T∗. We can show that (x0,σ0) is a stationary state of
(1.5), and that the following linear system
[TABLE]
has a nonconstant periodic solution, the proofs of which are just simplified versions of the proof for Lemma 4.3 in MR2644135 without the equations for τk. Hence we omit the details here. Then by Lemma 4,
there exists m≥1,m∈N, such that ±im2π/T0 are characteristic
values of (2.2). This completes the proof.
Now we can describe the relation between 2π/βk and the
minimal period of uk in Theorem 2.1.
Theorem 4.1.
Assume (S1–S4) hold and every point in the sequence {(xk,τk)}k=1∞ at Theorem 2.1 satisfies one of the conditions among i), ii) and iii) at Lemma 12, then every limit point of the minimal period of
xk as k→+∞ is contained in the set
[TABLE]
Moreover, if ±imnβ0 are not characteristic values
of (x0,σ0) for any integers m,n∈N such that mn>1, then 2π/βk is
the minimal period of uk(t) and
2π/βk→2π/β0 as k→∞.
Proof.
Let Tk denote the minimal period of xk(t). Then there exists a
positive integer nk such that 2π/βk=nkTk. Since
Tk≤2π/βk→2π/β0 as
k→∞, there exists a subsequence
{Tkj}j=1∞ and T0 such that
T0=limj→∞Tkj. Since 2π/βkj→2π/β0, Tkj→T0 as j→∞,nkj is identical to a constant
n for k large enough. Therefore, 2π/β0=nT0. Thus
Tkj→2π/(nβ0) as j→∞. By
Lemma 13, ±im2π/T0=±imnβ0 are
characteristic values of (x0,σ0) for some m≥1,m∈N.
Moreover, if ±imnβ0 are not characteristic values
of (u0,σ0) for any integers m∈N and n∈N with mn>1, then m=n=1. Therefore, for k large enough nkj=1 and 2π/βk=Tk is the minimal period of xk(t) and
2π/βk→2π/β0 as k→∞.
This completes the proof.
The following lemma shows that we can locate all the possible Hopf
bifurcation points of system (1.1) with state-dependent
delay at the centers of its corresponding formal linearization. Since the proof is similar to that for Lemma 4.5 in MR2644135 , we omit the details here.
Lemma 14.
Assume (S1–S3) hold. If (x0,σ0) is a Hopf bifurcation point
of system (1.1), then it is a center of (2.1).
Now we are in the position to consider the global Hopf bifurcation problem of
system (1.1). Letting
(x(t),τ(t))=(y(p2πt),z(p2πt)),
we can reformulate the problem as a problem of finding 2π-period
solutions to the following equation:
[TABLE]
where the z satisfies the algebraic equation z(t)=g(y(t),y(t−2πpz(t)),σ).
Accordingly, the formal linearization
(2.1) becomes
[TABLE]
Using the same notations as in the proof of Theorem 2.1,
we can define
is equivalent to (4.5).
Let S denote the closure of the set of all nontrivial
periodic solutions of system (4.6) in the space
V×R×R+, where R+ is the set of all nonnegative reals.
It follows from Lemma 12 that the constant solution (x0,σ0,0) does not belong
to this set if the sequence {(xk,τk)}k=1∞ in Theorem 2.1 satisfies one of the conditions among i), ii) and iii) at Lemma 12. Consequently, we can assume that problem
(4.6) is well posed on the whole space
V×R2, in the sense that if S exists in V×R2, then it must be contained in V×R×R+.
Then by the global Hopf bifurcation theorem 2.5 developed in MR2644135 and with similar arguments leading to Theorem 4.6 in MR2644135 , we
obtain the following global Hopf bifurcation theorem for system
(1.1) with state-dependent delay.
Theorem 4.2.
Suppose that system (1.1) satisfies (S1-S4) and (S3) holds at every center of (4.7).
Assume that all the centers of
(4.7) are isolated and every periodic solution x of system (1.1) satisfies one of the conditions among i), ii) and iii) at Lemma 12. Let M be the set of trivial periodic solutions of
(4.6) and M is complete. If
(x0,σ0,p0)∈M is a bifurcation point, then
either the connected component C(x0,σ0,p0)
of (x0,σ0,p0) in S is unbounded,
or
[TABLE]
where pi∈R+,
(xi,σi,pi)∈M, i=0,1,2,⋯,q.
Moreover, in the latter case, we have
[TABLE]
where γ(xi,σi,2π/pi) is the crossing number of
(xi,σi,pi) defined by (2.5) and
[TABLE]
5 Global Hopf bifurcation of a model of regulatory dynamics
We consider the following extended Goodwin’s model for regulatory dynamics:
[TABLE]
where x is the concentration of mRNA, y is the concentration of the related protein; z is the concentration of an active enzyme which controls the level of the metabolite functioning as repressor at the DNA level; μm, μp and μe are nonnegative degradation rates; αm, αp and αe are positive coefficients for the inhibition/activation terms; c and z~ are positive constants; h is an even positive integer. The Goodwin’s model Goodwin without delay (τ=0) has been extensively studied in system biology modeling various regulatory dynamics. Note that if we freeze the delay τ at the stationary state in system (5.1), it becomes the classic Goodwin’s model without delay.
We are interested in the onset and termination of each Hopf bifurcation branch of periodic solutions which are described as one of the alternatives given in Theorem 4.2.
To be specific, we need to obtain the boundedness or unboundedness of the connected component of the pairs of nonconstant periodic solution and parameter in the product space of the state and the parameter space. In the following, we first analyze the local Hopf bifurcation of system (5.1) and then consider the boundedness of periodic solutions of system (5.1) for a global Hopf bifurcation in light of Theorem 4.2.
5.1 Local Hopf bifurcation
Note that h is an even positive integer. Every stationary point (x,y,z) of System (5.1) satisfies that
[TABLE]
and (x,y,z)=(x0,μpαpx0,μeμpαeαpx0), where by Descartes’ rule of signs we know that x=x0 is the unique solution of
[TABLE]
Freezing the delay of system (5.1) at τ=0 and linearizing the resulting nonlinear system at the stationary state (x,y,z)=(x0,μpαpx0,μeμpαeαpx0) lead to the characteristic polynomial
[TABLE]
which has a unique negative root and a pair of imaginary roots.
In the following, we discuss the existence of purely imaginary eigenvalues as the parameter αm varies. We have
Lemma 15.
Let (x,y,z) be a stationary state of system (5.1). Then
the following equation of (x,αm)
[TABLE]
has a unique solution for (x,αm)=(x∗,αm∗).
Proof.
Noticing that by the second equation of (5.4), xαm=μm(1+(μeμpz~αeαpx)h), we rewrite the first equation of (5.4) into
[TABLE]
which has a unique positive solution for xh and hence for x with x=x∗ for some x∗>0. Then αm=αm∗ with αm∗=x∗μm(1+(μeμpz~αeαpx∗)h). The solution of (5.4) is (x,αm)=(x∗,αm∗).
Lemma 16.
Let αm∗ be as in Lemma 15 and λ=u±iv be the imaginary roots of the characteristic polynomial at (5.1). Then u and v are continuously differentiable with respect to αm and u=0 if and only if αm=αm∗. Moreover,
[TABLE]
Proof.
Let (x,y,z)=(x0,μpαpx0,μeμpαeαpx0) be a stationary state of System (5.1) and let
[TABLE]
Noticing that z=μeμpαeαpx0 and
[TABLE]
we know that F is continuously differentiable with respect to (λ,αm). Let (λ,αm) be such that F(λ,αm)=0. Then we have
[TABLE]
Next we show that dλdF=0 at every solution of F(λ,αm)=0. Otherwise, F has a repeated root and the root satisfies
[TABLE]
which lead to two distinct negative roots:
[TABLE]
This is a contradiction. Then by the Implicit Function Theorem, λ is continuously differentiable with respect to αm.
Next we bring λ=u+iv into the characteristic polynomial at (5.1) we have
[TABLE]
where c0=z~h(1+(z~z)h)2hαmzh−1=z~hμm2hαm3⋅(μeμpαeαp)h−1xh−3. If u=0, then (5.5) leads to
[TABLE]
where x satisfies μmx=1+(μeμpz~αeαpx)hαm. By Lemma 5.4, we have αm=αm∗. By the uniqueness of αm∗, u=0 if and only if αm=αm∗.
To compute dαmdu at αm=αm∗, we take derivatives with respect to αm on both sides of the equations at (5.5) and then let u=0, we obtain
can be regarded as a fourth order polynomial of xh with positive coefficients, and that dαmdx0=μm+μm(h+1)(μeμpz~αeαp)hx0h1>0, we have
[TABLE]
hence dαmdu\vlineαm=αm∗>0.
Notice that dαmdu\vlineαm=αm∗>0 implies the crossing number at the stationary point (x(αm∗),y(αm∗),z(αm∗)) satisifes:
[TABLE]
Moreover, we can check that conditions (S1–S3) for Theorem 2.1 are satisfied. Then we have
the following local Hopf bifurcation theorem for system (5.1).
Theorem 5.1.
Let αm∗ be as in Lemma 15. Then system (5.1) undergoes Hopf bifurcation near the stationary point (x(αm∗),y(αm∗),z(αm∗)) as αm varies near αm∗.
5.2 Global Hopf bifurcation
In this section, we develop a global Hopf bifurcation theory for system (5.1). By Lemma 5.4 and Theorem 5.1, we know that (x(αm∗),y(αm∗),z(αm∗)) is the only Hopf bifurcation point and is an isolated center. To apply the global Hopf bifurcation theorem 4.2, it remains to check condition (S4) and one of the conditions among i), ii) and iii) at Lemma 12. We first consider the boundedness of periodic solutions.
Theorem 5.2.
Let (x,y,z) be a periodic solution of system (5.1). Then (x,y,z) satisfies for every t∈R,
[TABLE]
Proof.
Note that h>0 is an even integer. We have
x˙(t)≤−μmx(t)+αm, which by Gronwall’s inequality leads to
[TABLE]
Since x is periodic, there exists p>0 such that x(t)=x(t+p) for every t∈R and for every n∈N, we have x(t)=x(t+np). Then for every t∈R we have
x(t)=x(t+np)≤e−μm(t+np)x(0)+μmαm(1−e−μm(t+np))→μmαm as n→∞. Therefore, we have x(t)≤μmαm for every t∈R.
By the same token, with x(t−τ)≤μmαm, we obtain from the second equation of system (5.1) that
y(t)≤μpμmαpαm, t∈R, and subsequently from the third equation of system (5.1) that z(t)≤μeμpμmαeαpαm for every t∈R.
To obtain lower bounds of x,y and z, let xˉ=−x, yˉ=−y and zˉ=−z. Then system (5.1) becomes
[TABLE]
We have
xˉ˙(t)<−μmxˉ(t), which leads to
[TABLE]
Note that xˉ is also p-periodic. For every t∈R we have
[TABLE]
Therefore, we have xˉ(t)≤0 for every t∈R. By the same token, with xˉ(t−τ)≤0, we obtain from the second equation of system (5.8) that
yˉ(t)≤0, t∈R, and subsequently from the third equation of system (5.8) that zˉ(t)≤0 for every t∈R.
Then by the definition of (xˉ,yˉ,zˉ), we obtain that for every t∈R, x(t)≥0,y(t)≥0,z(t)≥0.
If there exists t0∈R such that x(t0)=0, then by the first equation of system (5.1) we have x˙(t0)>0. By the continuity of x˙, there exists δ>0 such that x is strictly increasing in (t0−δ,t0+δ).
so that x(t)<0 for t∈(t0−δ,t0). This is a contradiction. By the same token we have y(t)>0 and z(t)>0 for every t∈R.
Lemma 17.
Let f0:R3×R3×R→R3 be defined by
[TABLE]
where θ1=(x1,y1,z1) and θ2=(x2,y2,z2). Then f0 is Lipschitz continuous with a Lipschitz constant
[TABLE]
where h0=(1+h+1h−1)2h(1−h+12)hh−1.
Proof.
We use the Mean Value theorem for integrals to obtain a Lipschitz constant. Let θ1~=(x~1,y~1,z~1) and θ2~=(x~2,y~2,z~2). Then we have
[TABLE]
We have
[TABLE]
. Noticing that the map R∋t→(1+th)2th−1 vanishes at t=0 and t=∞ and that
[TABLE]
if and only if t=±(1−h+12)h1, we obtain that
supz2dz2d1+(z~z2)hαm=z~αmh0 with
[TABLE]
and the supremum is achieved at z~z2=(1−h+12)h1. Then by (5.2) f0 is Lipschitz continuous with a Lipschitz constant Lf=max{μm,μp,μe,αp,αe,z~αmh0}.
To apply the global Hopf bifurcation theorem, we also use Lemma 12 to show the closure of all nontrivial periodic solutions bifurcating from the stationary point (x(αm∗),y(αm∗),z(αm∗)) will not include constant solution with zero period.
Lemma 18.
Let (x,y,z) be a periodic solution of system (5.1). If αm<c1, then τ:R→R given by τ(t)=c(x(t)−x(t−τ(t))) exists and is continuously differentiable.
Proof.
The existence and continuity of τ follows from Lemma 1. Let f1:R2→R be defined by
[TABLE]
Then f1 is continuously differentiable with respect to (τ,t). Moreover, by (5.11) we have
[TABLE]
By the first equation of system (5.1) and by Lemma 5.2 we have for every t∈R, x˙(t)<αm and
By the Implicit Function Theorem, τ is continuously differentiable at t∈R.
It follows from Lemma 18 and ii) of Lemma 12 that
if αm<c1, then the period p of every nonconstant periodic solution
satisfies p≥Lf(2+∥τ˙∥L∞)4>0.
Now we are in the position to state the global Hopf bifurcation theorem.
Theorem 5.3.
Let αm∗ be as in Lemma 15 and p∗=v∗2π where v∗>0 is the imaginary part of eigenvalue of the formal linearization of system (5.1) at αm=αm∗. Suppose that
αm∗<c1. There exists a connected component C of the closure of all nonconstant periodic solution of system (5.1) bifurcating from (αm∗,p∗,x(αm∗),y(αm∗),z(αm∗))∈R2×C(R;R3), which satisfies that
i)
either the projection of C onto the parameter space of the period p is unbounded.
2. i)
or the projection of C onto the parameter space of αm does not cross α=0 but is not contained in any compact subset of the interval (0,c1);
Proof.
We first show that if αm=0, system (5.1) has no nonconstant periodic solutions. Otherwise, let (x,y,z) be a nonconstant periodic solution with αm=0. Then from system (5.1) x˙=−μmx implies that x=0 and subsequently y=z=0. This is a contradiction.
In the following we consider αm in (0,c1) and introduce the following change of variables:
[TABLE]
where q is an increasing function of α with limα→−∞q(α)=0
and limα→+∞q(α)=c1. Then system (5.1) is rewritten as
[TABLE]
with α∈R and α∗=q−1(αm∗) the critical value of α for a unique Hopf bifurcation point. By Theorem 5.1
There exists a connected component C0 of the closure of all nonconstant periodic solution of system (5.13) bifurcating from the stationary point (α∗,p∗,x(α∗),y(α∗),z(α∗))∈R2×C(R;R3).
By Lemma 17, condition (S4) is satisfied by system (5.13). By Lemma 18, the function τ defined by τ(t)=c(x(t)−x(t−τ(t))) for a nonconstant periodic solution (x,y,z) of system (5.13) is continuously differentiable. Hence by Lemma 12, the period p of every nonconstant periodic solution (x,y,z) of system (5.13) is positive. Notice that (α∗,p∗,x(α∗),y(α∗),z(α∗)) is the only bifurcation point of system (5.13), by Theorem 4.2, the connected component C0 is unbounded in R2×C(R;R3).
Notice that by Theorem 5.2, the projection of C0 onto the space of (x,y,z)∈C(R;R3) is bounded. The unboundedness of C0 is either because of the unbounded projection onto the parameter space of the period p, or the projection of C onto the parameter space of α.
Notice that q induce a homeomorphism (q,id):R2×C(R;R3)→R2×C(R;R3) defined by
[TABLE]
The image C=(q,id)(C0) of C0 under (q,id)
is a connected component of the closure of all nonconstant periodic solution of system (5.1) bifurcating from the bifurcation point
[TABLE]
which satisfies that either the projection of C onto the parameter space of the period p is unbounded, or the projection of C onto the parameter space of αm does not cross the hyperplane αm=0 but is not contained in any compact subset of the interval (0,c1).
6 Concluding remarks
Motivated by the extended Goodwin’s model with a state-dependent delay governed by an algebraic equation, we developed a global Hopf bifurcation theory for differential-algebraic equations with state-dependent delay, using the S1-equivariant degree. This is based on the framework described in MR2644135 where the technique of formal linearization is employed to obtain auxiliary linear systems at the stationary states which indicate local and global Hopf bifurcation using a homotopy argument. We remark that the local and global Hopf bifurcation theory we developed for system (1.5) is also applicable for systems with the delay given by τ(t)=h(xt) where h is a function of xt(s)=x(t+s),−r≤s≤0,r>0, provided that τ is continuous.
The local and global Hopf bifurcation theories are applied to the extended Goodwin’s model which describes intracellular processes in the genetic regulatory dynamics. We obtained two alternatives for the connected component C of periodic solutions in the Fuller space R2×C(R;R3). Namely, the projection of C onto the parameter space of the period p is unbounded, or the projection onto the parameter space of αm is not contained in any compact subset of the interval (0,c1). We remark that in the previous case, there exists a sequence of periodic solutions with periods going to ∞. From (4.6), system (5.1) can be represented as
[TABLE]
where x is normalized to be 2π-periodic. Notice from the definition of N0 at (2.11) that p appears only in the time domain of N0. Note also that the periodic solutions are uniformly bounded with αm∈(0,c1). Then with p→∞, this alternative implies the possibility that the system has a sequence of nonconstant periodic solutions with the limiting profile satisfying the algebraic equation N0(x,αm,p)=0. See (mallet1992boundary ,mallet1996boundary ,mallet2003boundary ) for a discussion of limiting profiles for differential equations with state-dependent delays.
If the projection of C onto the parameter space of the period p is bounded, we have the latter alternative that the projection of C onto the parameter space of the period αm is not contained in any compact subset of the interval (0,c1). Since C will not cross the hyperplane αm=0, and will not blow up at αm=c1 with the boundedness of the solutions and periods, C must cross the hyperplane αm=c1 leaving the solutions at αm≥c1 out of the scope of the discussion.
We also remark that the state-dependent delay in system (1.5) may be negative or positive and is not a priori advanced or retarded type delay differential equations. It remains open to investigate this type of systems in general settings for a qualitative theory including existence and uniqueness of solutions. For systems with mixed type constant delays, see, among many others, Rustichini ; mallet1999mixed .
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