Abstract
For nonautonomous linear difference equations, we introduce the notion of the so-called nonuniform dichotomy spectrum and prove a spectral theorem. As an application of the spectral theorem, we prove a reducibility result.
1 Introduction
Let Ak ∈ ℝN × N, k ∈ ℤ, be a sequence of invertible matrices. In this paper, we consider the following nonautonomous linear difference equations
where xk ∈ ℝN, k ∈ ℤ. Let Φ:ℤ × ℤ → ℝN × N, (k, l)↦Φ(k, l), denote the evolution operator of (1.1), i.e.,
Obviously, Φ(k, m)Φ(m, l) = Φ(k, l), k, m, l ∈ ℤ, and Φ(·, l)ξ solves the initial value problem (1.1), x(l) = ξ, for l ∈ ℤ, ξ ∈ ℝN.
An invariant projector of (1.1) is defined to be a function P:ℤ → ℝN × N of projections Pk, k ∈ ℤ, such that for each Pk the following property holds
We say that (1.1) admits an exponential dichotomy if there exist an invariant projector P and constants 0 < α < 1, K ≥ 1 such that
and
where Ql = Id − Pl is the complementary projection.
The notion of exponential dichotomy was introduced by Perron in [25] and has attracted a lot of interest during the last few decades because it plays an important role in the study of hyperbolic dynamical behavior of differential equations and difference equations. For example, see [1, 19, 28] and the references therein. We also refer to the books [10, 16, 22] for details and further references related to exponential dichotomies. On the other hand, during the last decade, inspired both by the classical notion of exponential dichotomy and by the notion of nonuniformly hyperbolic trajectory introduced by Pesin (see [5]), Barreira and Valls have introduced the notion of nonuniform exponential dichotomies and have developed the corresponding theory in a systematic way (see [6] and the references therein). As explained by Barreira and Valls, in comparison to the notion of exponential dichotomies, nonuniform exponential dichotomy is a useful and weaker notion.
We say that (1.1) admits a nonuniform exponential dichotomy if there exist an invariant projector P and constants 0 < α < 1, K = 1, ε ≥ 1 such that αε2 < 1 and
and
When ε = 1, (1.4)-(1.5) become (1.2)-(1.3), and therefore a nonuniform exponential dichotomy becomes an exponential dichotomy. Moreover, [5, Theorem 1.4.2]bp02 indicates that the condition αε2 < 1 is reasonable, which means that the nonuniform part is small.
For example, given ω>5a > 0, then the linear equation
admits a nonuniform exponential dichotomy, but does not admit an exponential dichotomy. In fact, we have
with
Analogous arguments applied to the second equation yield the estimate (1.5). Moreover, when both k and l are even, we obtain the equality
which means that the nonuniform part εl = e2al cannot be removed.
Among the different topics on classical exponential dichotomies, the dichotomy spectrum (also called dynamical spectrum, or Sacker-Sell spectrum) is very important and many results have been obtained. As far as we know, dynamical spectrum defined with exponential dichotomies was first introduced by Sacker and Sell in [29] in which they studied the linear skew product flows with compact base. For more results on dichotomy spectrum, we refer the reader to [2, 3, 13, 18, 23, 26, 27, 29, 31, 32] and the references therein. The definition and investigation for finite-time hyperbolicity have also been studied in [9, 17]. The dynamical spectral theorem has some important applications. For example, based on the dichotomy spectral theorem, normal forms for nonautonomous systems were established in [20,21,33]. However, all the results mentioned above were established in the setting of classical exponential dichotomies. In this paper, we establish the corresponding spectral theory for difference equations (1.1) with a nonuniform exponential dichotomy. To the best of our knowledge the nonuniform dichotomy spectral theory for linear differential equations was first studied in [14] and [35]. We refer the reader to [7, 8, 11, 12, 34] for further results on nonuniform dichotomy spectrum.
This paper is organized as follows. In Section 2 we propose a definition of spectrum based on nonuniform exponential dichotomies, which is called nonuniform dichotomy spectrum. Such a spectrum can be seen as a generalization of Sacker-Sell spectrum. We prove a nonuniform dichotomy spectral theorem. In Section 3, as an application of the spectral theorem, we prove a reducibility result for (1.1). Recall that system (1.1) is called reducible if it is kinematically similar to a block diagonal system with blocks of dimension less than N.
2 Nonuniform dichotomy spectrum
Consider the weighted system
where γ ∈ ℝ+ = (0, ∞). One can easily see that
is its evolution operator. If for some γ ∈ ℝ+, (2.1) admits a nonuniform exponential dichotomy with projector Pk and constants K ≥ 1, 0 < α < 1 and ε ≥ 1, then Pk is also invariant for (1.1), that is
and the dichotomy estimates of (2.1) are equivalent to
and
Definition 2.1
The nonuniform dichotomy spectrum of (1.1) is the set
and the resolvent set ρNED(A) = ℝ+∖ΣNED(A) is its complement. The dichotomy spectrum of (1.1) is the set
and ρED(A) = ℝ+∖ΣED(A).
Proposition 1
ΣNED(A) ⊂ ΣED(A).
Proof. For each γ ∈ ρED(A), the weighted system (2.1) admits an exponential dichotomy. Consequently, the weighted system (2.1) admits a nonuniform exponential dichotomy. Thus, γ ∈ ρNED(A), which implies that ρED(A) ⊂ ρNED(A), and therefore ΣNED(A) ⊂ ΣED(A). □
Let us define for γ ∈ ρNED(A)
and
where ε is the constant in (2.2)-(2.3). Note that 𝒮γ and 𝒰γ depend on
The next lemma gives the relationship between 𝒮γ, 𝒰γ and the projector P. In [16, Chapter 2]cop it is proved in the setting of exponential dichotomies that the invariant projector is unique. The proof for the invariant projectors for (1.1) and (2.1) in the setting of nonuniform exponential dichotomies is almost identical.
Lemma 2.2
Assume that (2.1) admits a nonuniform exponential dichotomy with invariant projector P for γ ∈ ℝ+. Then
Proof. We show only
First we show
We write ξ = ξ1+ξ2 with ξ1 ∈ im Pl and ξ2 ∈ ker Pl. We show that ξ2 = 0. By invariance of P we have for k ∈ ℤ the identity
Using the fact that (2.1) admits a nonuniform exponential dichotomy, it follows that
Thus
which implies that when k ≥ l and k > 0, we have
and therefore ξ2 = 0 by letting k → ∞, since αε<1.
Next we show
which yields
and thus ξ ∈ 𝒮γ(l).
Lemma 2.3
The resolvent set is open, i.e., for every γ ∈ ρNED(A), there exists a β = β(γ) ∈ (0, 1) with
Proof. Let γ ∈ ρNED(A). Then (2.1) admits a nonuniform exponential dichotomy, i.e., the estimates (2.2)-(2.3) hold with an invariant projector P and constants K ≥ 0, 0<α <1 and ε ≥ 1. For
Note that P is also an invariant projector for the equation
Moreover, we have the estimates
and
Hence ζ ∈ ρNED(A). Therefore, ρNED(A) is an open set. Using Lemma 2.2, we know that 𝒮ζ = 𝒮γ and 𝒰ζ = 𝒰γ.
Corollary 2.4
ΣNED(A) is a closed set.
Using the facts proved above, we can obtain the following result, whose proof is similar as [4, Lemma 2.2], and therefore we omit the proof here.
Lemma 2.5
Let γ1, γ2 ∈ ρNED(A) with γ1 < γ2. Then
Alternative I | Alternative II |
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Now we are in a position to state and prove the nonuniform dichotomy spectral theorem which will be essential to prove the result on reducibility in Section 3. The proof follows the idea and technique of the classical dichotomy spectrum proposed in [30], we present the details for the reader’s convenience.
Theorem 2.6
The nonuniform dichotomy spectrum
where 0 < a1 ≤ b1 < a2 ≤ b2 < ··· < an ≤ bn. Choose a
otherwise define
otherwise define
are invariant vector bundles of (1.1). For n = 2, choose γi ∈ ρNED(A) with
then for every i = 1, …, n − 1 the intersection
is an invariant vector bundle of (1.1) with dim 𝒲i ≥ 1. The invariant vector bundles 𝒲i, i = 0, …, n + 1, are called spectral bundles and they are independent of the choice of γ0, …, γn in (2.4), (2.5) and (2.6). Moreover
is a direct sum, i.e.,
Proof. Recall that the resolvent set ρNED(A) is open and therefore ΣNED(A) is the disjoint union of closed intervals. Next we will show that ΣNED(A) consists of at most N intervals. Indeed, if ΣNED(A) contains N + 1 components, then one can choose a collection of points ζ1, …, ζN in ρNED(A) such that ζ1<··· < ζN and each of the intervals (0, ζ1), (ζ1, ζ2), …, (ζN − 1, ζN), (ζN, ∞) has nonempty intersection with the spectrum ΣNED(A). Now alternative II of Lemma 2.5 implies
and therefore either
admits a nonuniform exponential dichotomy with invariant projector P ≡ Id, then
also admits for every ζ>ζN a nonuniform exponential dichotomy with the same projector. We conclude (ζN, ∞) ⊂ ρNED(A), which is a contradiction. This proves the alternatives for ΣNED(A).
Due to Lemma 2.5, the sets 𝒲0, …, 𝒲n+1 are invariant vector bundles. To prove now that dim 𝒲1 ≥ 1, …, dim 𝒲n ≥ 1 for n ≥ 1, let us assume that dim 𝒲1 = 0, i.e.,
is 0 and then we get the contradiction (0, γ1) ⊂ ρNED(A). If [a1, b1] is a spectral interval then [γ0, γ1]∩ΣNED(A)≠∅ and by alternative II of Lemma 2.5 we get a contradiction. Therefore dim 𝒲1 ≥ 1 and analogously dim𝒲n ≥ 1. Furthermore for n ≥ 3 and i = 2, …, n − 1 one has [γi − 1, γi]∩ΣNED(A)≠∅ and again alternative II of Lemma 2.5 yields dim𝒲i ≥ 1.
For i < j we have
To show that
Doing the same for
and mathematical induction yields
and therefore the invariant vector bundles 𝒲0, …, 𝒲n+1 are independent of the choice of γ0, …, γn in (2.4), (2.5) and (2.6).
Definition 2.7
We say that the evolution operator of (1.1) is nonuniformly exponentially bounded if there exist K > 0, ε ≥ 1 and a ≥ 1 with
Lemma 2.8
Assume the evolution operator of (1.1) is nonuniformly exponentially bounded. Then ΣNED(A) is a bounded closed set and
Proof. Assume that (2.7) holds. Let γ > a and
Therefore (1.1) admits a nonuniform exponential dichotomy with invariant projector P = Id. It follows that γ ∈ ρNED(A) and also similarly for
Lemma 2.9
The evolution operator of (1.1) is nonuniformly exponentially bounded if and only if the nonuniform dichotomy spectrum ΣNED(A) of (1.1) is the disjoint union of n closed intervals where 0 ≤ n ≤ N, i.e.,
where 0 < a1 ≤ b1 < a2 ≤ b2 < ··· < an ≤ bn < ∞. In addition,
Proof. Necessity. It is easy to know that ΣNED(A) is bounded from Lemma 2.8. Now we prove that ΣNED(A)≠∅. It is easy to verify that
Clearly,
Let γ0 ∈ (0, a1), γi ∈ (bi, ai+1) for i = 1, …, n − 1 and γn ∈ (bn, ∞). Clearly, from the proof of Lemma 2.8, we have
Sufficiency. Let γ0 ∈ (0, a1), γi ∈ (bi, ai+1) for i = 1, …, n − 1 and γn ∈ (bn, ∞). Clearly, from the proof of Lemma 2.8, we have
Hence, there exist K0 > 1, 0<α0 < 1 and ε0 > 1 such that
and there exist Kn > 1, 0 < αn < 1 and εn > 1 such that
Now taking K = max{K0, Kn}, ε = max{ε0, εn} and
which shows that the evolution operator of (1.1) is nonuniformly exponentially bounded.
From Proposition 1, we know ΣNED(A) ⊂ ΣED(A). Finally in this section, we present an example to illustrate that ΣNED(A)≠ΣED(A) can occur.
Example 2.10
Given ω>5a > 0. Consider the scalar equation
with
Then ΣNED(A) = [e − ω − 5a, e − ω+5a] and ΣED(A) = ℝ+.
Proof. The evolution operator of (2.8) is given by
For each γ ∈ ℝ+ the evolution operator of
is given by
For any γ ∈ (e( − ω+5a), +∞), it follows from (2.10) that
which implies that the equation (2.9) admits a nonuniform exponential dichotomy with invariant projector P = Id, by setting
Thus,
For any
which implies that (2.9) admits a nonuniform exponential dichotomy with P = 0, by taking
Thus,
It follows from (2.12) and (2.14) that
which implies that
Next we show that
To do this, we first prove that γ1 = e − ω+5a ∈ ΣNED(A). The evolution operator of the system
is given as
It is easy to see that there do not exist K, α>0 and ε>0 such that
or
Therefore γ1 = e − ω+5a ∈ ΣNED(A). In a similar manner, we can prove γ2 = e − ω − 5a ∈ ΣNED(A). We can see from Theorem 2.6 that (2.8) has at most one nonuniform dichotomy spectral interval, which means that [e − ω − 5a, e − ω+5a] ⊂ ΣNED(A) and therefore [e − ω − 5a, e − ω+5a] = ΣNED(A).
On the other hand, using a similar argument as in equations (1.6), we know that the nonuniform part ε∣l∣ cannot be removed in the estimates (2.11) and (2.13). Therefore, (2.8) does not admit an exponential dichotomy, which means that ΣED(A) = ℝ+.
3 Reducibility
In this section we utilize Theorem 2.6 to show a reducibility result. For the reducibility results in the setting of an exponential dichotomy, we refer the reader to [15, 24, 32] and the references therein. First we recall the definition of kinematic similarity given in Coppel [16] and Aulbach et al. [2].
Definition 3.1
Equation (1.1) is said to be kinematically similar to another equation
with k ∈ ℤ, if there exists an invertible matrix Sk with ∣Sk∣ ≤ M and
The change of variables xk = Skyk then transforms (1.1) into (3.1).
The next lemma is important to establish the reducibility results and its proof follows along the lines of the proof of Siegmund [32]. See also Coppel [16] and Aulbach et al. [2]
Lemma 3.2
[16, Chapter 5] Let P be an orthogonal projection (PT = P) and let X be an invertible matrix function. Then there exists an invertible matrix function
and
where k ∈ ℤ and Q = Id − P. Define
Then the mapping is a positive definite, symmetric matrix for every
of positive definite symmetric matrices Rk,
We remark that in the setting of an exponential dichotomy the function
To overcome the difficulty, we introduce a new version of non-degeneracy, so-called weak non-degeneracy and define the concept of weak kinematical similarity, which is a very natural notion if we note the fact (3.2).
Definition 3.3
Definition 3.4
If there exists a weakly non-degenerate matrix Sk such that
then equation (1.1) is weakly kinematically similar to equation (3.1). For short, we denote (1.1)
We analogously denote kinematical similarity by (1.1) ∼ (3.1) or Ak ∼ Bk.
Definition 3.5
Equation (1.1) is called reducible, if it is weakly kinematically similar to equation (3.1) whose coefficient matrix Bk has the block diagonal form
where
Before stating the main results of this section, we prove several preliminary lemmas.
Lemma 3.6
Assume that (1.1) admits a nonuniform exponential dichotomy. Then the projector of equation (1.1) can be chosen as
and
where
Proof. Let
with
Then
On the other hand, we have
It follows from (3.6) and (3.7) that (1.4)-(1.5) can be rewritten in the form (3.4)-(3.5).
Lemma 3.7
Assume that (1.1) admits a nonuniform exponential dichotomy with the form of estimates (3.4)-(3.5) and
Proof. Suppose that Sk is weakly non-degenerate, which means that there exists M = M(ε) > 0 such that ∣Sk∣ ≤ Mε∣k∣ and
A similar argument shows that
Form (3.8) and (3.9), it is easy to see that system (3.1) admits a nonuniform exponential dichotomy. Clearly, the rank of the projector is N1.
Lemma 3.8
Assume that the systems (1.1) and (3.1) are weakly kinematically similar via Sk. If for a constant γ ∈ ℝ+ the system (2.1) admits a nonuniform exponential dichotomy with constants K > 0, 0 < α < 1, ε ≥ 1 and invariant projector P, then the system
also admits a nonuniform exponential dichotomy.
Proof. Obviously, P is also an invariant projector for (1.1). The dichotomy estimates are equivalent to
and
Using Lemma 3.7, it is easy to see that
and
for some constant K′γ ≥ 1. Therefore, (3.10) admits a nonuniform exponential dichotomy.
The following result follows directly from Lemma 3.8.
Corollary 3.9
Assume that there exists a weakly non-degenerate transformation Sk such that
The following theorem states that if (1.1) admits a nonuniform exponential dichotomy, then there exists a weakly non-degenerate transformation such that
Theorem 3.10
Assume that (1.1) admits a nonuniform exponential dichotomy (not necessary ) of the form (3.4)-(3.5) with the invariant projector satisfying Pk≠0, Id. Then (1.1) is reducible. More precisely, it is weakly kinematically similar to a decoupled system
for some matrix functions
where
Proof. Since equation (1.1) admits a nonuniform exponential dichotomy of the form (1.4)-(1.5) with the invariant projector satisfying Pk≠0, Id, by Lemma 3.6, one can choose a suitable fundamental matrix Xk and the projector
Thus, S is weakly non-degenerate. Setting
where Rk is defined in Lemma 3.2 and Xk = SkRk. Obviously, Rk is the fundamental matrix of the linear system
Now we need to show that
First, we show that
which implies that
Now we show that system (1.1) is weakly kinematically similar to (3.11). By Lemma 3.2, Rk+1 and
for all
with
Identity (3.12) implies that
Therefore
Now the proof is finished.
From Theorem 3.10, we know that if (1.1) admits a nonuniform exponential dichotomy, then there exists a weakly non-degenerate transformation Sk such that
Theorem 3.11
Assume that (1.1) admits a nonuniform exponential dichotomy. Due to Theorem 2.6, the dichotomy spectrum is either empty or the disjoint union of n closed spectral intervals J1, ⋅, Jn with 1 ≤ N ≤ N, i.e.,
Then there exists a weakly kinematic similarity action
with
Proof. If for any γ ∈ ℝ+, system (2.1) admits a nonuniform exponential dichotomy, then ΣNED(A) = ∅. Conversely, for any γ ∈ ℝ+, system (2.1) does not admit a nonuniform exponential dichotomy, then ΣNED(A) = ℝ+. Now, we prove the theorem for the nontrivial case (ΣNED(A)≠∅ and ΣNED(A)≠ℝ+).
Recall that the resolvent set ρNED(A) is open and therefore the dichotomy spectrum ΣNED(A) is the disjoint union of closed intervals. Using Theorem 2.6, we can assume
with 0 < a1 ≤ b1 < a2 ≤ b2 < … < an ≤ bn.
If J1 = [a1, b1] is a spectral interval, then (0, γ0) ⊂ ρNED(A) and
admits a nonuniform exponential dichotomy, let its invariant projector be denoted by
Now we consider the following system
By using Lemma 2.5, we take γ1 ∈ (b1, a2). In view of
admits a nonuniform exponential dichotomy. Its invariant projector
with
Now we can construct a weakly non-degenerate transformation
Applying similar procedures to γ2 ∈ (b2, a3), γ3 ∈ (b3, a4), …, we can construct a weakly non-degenerate transformation
such that ∣ Sk∣ ≤ Mε εn∣k∣ and
with locally integrable functions
Finally, we show that Ni = dim𝒲i. From the claim above, we note that
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