Exponential stability for nonautonomous functional differential equations with state-dependent delay
Ismael Maroto, Carmen N\'u\~nez, Rafael Obaya

TL;DR
This paper establishes that negative upper-Lyapunov exponents characterize exponential stability of invariant sets in nonautonomous functional differential equations with state-dependent delays, linking stability to spectral properties.
Contribution
It introduces a method to verify exponential stability via upper-Lyapunov exponents for nonautonomous FDEs with state-dependent delays, extending stability analysis tools.
Findings
Negative upper-Lyapunov exponent implies exponential stability.
Exponential stability of minimal sets is characterized by Lyapunov exponents.
Existence of stable almost periodic solutions under stability conditions.
Abstract
The properties of stability of compact set which is positively invariant for a semiflow determined by a family of nonautonomous FDEs with state-dependent delay taking values in are analyzed. The solutions of the variational equation through the orbits of induce linear skew-product semiflows on the bundles and . The coincidence of the upper-Lyapunov exponents for both semiflows is checked, and it is a fundamental tool to prove that the strictly negative character of this upper-Lyapunov exponent is equivalent to the exponential stability of in and also to the exponential stability of this minimal set when the supremum norm is…
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Exponential stability for nonautonomous functional differential
equations with state-dependent delay
Ismael Maroto
,
Carmen Núñez
and
Rafael Obaya
Departamento de Matemática Aplicada, Universidad de Valladolid, Paseo del Cauce 59, 47011 Valladolid, Spain
Abstract.
The properties of stability of a compact semiflow determined by a family of nonautonomous FDEs with state-dependent delay taking values in are analyzed. The solutions of the variational equation through the orbits of induce linear skew-product semiflows on the bundles and . The coincidence of the upper-Lyapunov exponents for both semiflows is checked, and it is a fundamental tool to prove that the strictly negative character of this upper-Lyapunov exponent is equivalent to the exponential stability of in and also to the exponential stability of this minimal set when the supremum norm is taken in . In particular, the existence of a uniformly exponentially stable solution of a uniformly almost periodic FDE ensures the existence of exponentially stable almost periodic solutions.
Key words and phrases:
Nonautonomous FDEs, state-dependent delay, exponential stability, upper Lyapunov exponent
2010 Mathematics Subject Classification:
37B55, 34K20, 37B25, 34K14
Partly supported by MEC (Spain) under project MTM2015-66330-P and by European Commission under project H2020-MSCA-ITN-2014.
1. Introduction
State-dependent delay differential equations (SDDEs for short) have been extensively investigated during the last years, due to the theoretical interest of the related problems and to the great number of potential applications in many areas of interest, as automatic control, mechanical engineering, neural networks, population dynamics and ecology. Among the extensive list of works devoted to this field, we can mention Hartung [7, 8, 9, 10], Wu [29], Walther [27, 28], Hartung et al. [11], Chen et al. [3], Hu and Wu [16], Mallet-Paret and Nussbaum [19], Hu et al. [15], Barbarossa and Walther [2], and He and de la Llave [12, 13], and Krisztin and and Rezounenko [18], as well as the many references therein.
In this paper, we analyze the exponential stability properties of the solutions of a nonautonomous SDDE. The use of the skew-product formulation allows us to use techniques arising from the topological dynamics.
More precisely, let be a continuous flow on a compact metric space. We write , and consider the family of SDDEs with maximum delay , given by
[TABLE]
for , where is continuous and admits continuous partial derivatives with respect to the vectorial components. Let be endowed with the supremum norm. The state-dependent delay is given by a continuous function , which is supposed to be continuously differentiable with respect to its second argument and to satisfy some standard Lipschitz conditions. And, as usual, we represent for whenever is a continuous function on .
It is well known that such a family may arise from a single SDDE, namely . Standard conditions on the temporal variation of the map (which are satisfied in the uniformly almost-periodic case, but also in much more general situations), ensure that its hull (i.e., the closure in the compact-open topology of the set of time-translated functions ) is a compact metric space supporting a continuous flow , which is also given by time-translation: the elements of are are functions , and the continuous flow is given by the map , where ). These conditions also ensure that and for are continuous operators: see Hino et al. [14]. In this way be obtain a family of the type (1.1) which includes the initial equation: just take , and note that, in particular, it has a dense orbit in ). In addition, it turns out that any of the equations of the family satisfies the hypotheses assumed on the initial one. Once this formulation is established, the analysis of the dynamical behavior of the whole family provide information on the solutions of the initial equation.
Additional recurrence conditions can be assumed on and in order to ensure that the flow is minimal. This is the situation in the particular cases for which the pair is uniformly periodic, almost periodic or almost automorphic, properties which in fact ensure the same for the flow on the corresponding hull. However, our approach in this paper is more general: we assume neither that (1.1) comes from a single SDDE, nor the minimality of . This last condition will be indeed required for some of the results, but it will be imposed in due time.
The compact metric space is the base of the bundle which constitutes the phase space of a skew-product semiflow, whose fiber component is determined by the solutions of the family (1.1). In our setting, the fiber of the bundle will be the Banach space of the Lipschitz-continuous functions endowed with the standard norm. The already mentioned conditions assumed on the vector field and on the delay are intended to ensure the existence, uniqueness and some regularity properties of the solutions. It is convenient to keep in mind the idea that they are more exigent than those ensuring similar properties in the study of fixed or time-dependent delay equations. Strongly based on previous results of [7], we have established in [20] the existence of a unique maximal solution of the equation (1.1) given by for every initial data (i.e., with for ), which are defined on , with . Since, if , the map belongs to , then (1.1) determines the local skew-product semiflow on
[TABLE]
In general, this semiflow is not continuous. But it satisfies strong continuity properties, described in Theorem 3.2 below. We will call it a pseudo-continuous semiflow. Its interest relies on the fact that, despite the lack of global continuity, it allows us to use the classical tools of topological dynamics in the analysis of the behaviour of its orbits, i.e., in the qualitative analysis of the solutions of (1.1). In particular, the restriction of to positively invariant compact subsets is continuous.
Let be a positively -invariant subset projecting over the whole base and containing backward extensions of all its points. One of our main goals in this paper is to characterize the exponential stability of and of the semiorbits that it contains in terms of the Lyapunov exponents of its elements with respect to the linearized semiflow. More precisely, let us introduce the set of pairs “(equation, initial data)” which satisfy the compatibility condition given by the vector field, namely
[TABLE]
and define by
[TABLE]
The results of Section 3 of [7] and Section 4 of [20] prove that, if and , then: there exists the linear map and is continuous; it determines the Fréchet derivative of with respect to ; and where is the solution of the variational equation with for . In addition, , which allows us to consider the linear skew-product semiflow
[TABLE]
for (which is a new pseudo-continuous semiflow) in order to define the Lyapunov exponents and to derive the stability properties of from the characteristics of these exponents. Note that this question is not trivial, since: has empty interior, and there are cases for which the map is not defined for all , i.e., for which does not admit directional derivatives in (see [10]).
Let us briefly explain the structure and main results of the paper. In Section 2, we introduce the concepts of topological dynamics required in the following pages. We also recall the definition of exponential stability, and the notion and basic properties of the upper Lyapunov exponent for a positively invariant compact set (in the terms of Sacker and Sell [24], Chow and Leiva [4, 5], and Shen and Yi [25]).
In Section 3 we describe in detail the family of SDDEs and analyze some of its properties. In particular, we prove that every bounded and positively -invariant set contains a positively -invariant compact subset which is maximal for the property of existence of backward extension of its semiorbits. In the rest of the Introduction, will be a positively -invariant compact subset such that all its elements admit backward extension in it. Such a set is contained in , and so we can define the semiflow on by (1.2). In addition, the conditions assumed on the vector field and the standard theory of FDEs ensure that the solutions of the variational equation also define the continuous skew-product semiflow
[TABLE]
where represents the same function as above. We show that, given and , the map , is continuous, and that it is also compact if . This property is the main tool in the proof of a result which will be fundamental in the paper: if we follow the classical way to define the upper Lyapunov exponent of with respect to the pseudo-continuous flow , it agrees with the (classical) one with respect to .
In Section 4 we strength slightly the Lipschitz conditions assumed on , and consider a set as described above, with the additional property that it projects over the whole base. Let be its upper Lyapunov exponent. We prove that the condition is equivalent to the exponential stability of for the usual Lipschitz norm, and also to the exponential stability of expressed in terms of the supremum norm. This extends to our nonautonomous setting results previously proved by Hartung in [8] in the case of periodic SDDEs.
Section 5 considers again the initial conditions assumed on , and contains the adequate version of the characterization of the exponential stability. The results are very similar to that of Section 4: the only difference relies in the expression of the exponential stability in terms of the norm in . In this less restrictive setting, we go further in the analysis. We prove that, if base is minimal and , then is an -cover of the base flow admitting a flow extension. We also establish several properties on its domain of attraction. The paper is completed with the following nice extension: if is a positively -invariant compact set such that for every minimal set , then only contains a finite number of minimal sets; and, in addition, the subsets of determined by its intersection with the domains of attraction of its minimal subsets agree with the connected components of . A conclusion of all the preceding results closes the paper: the existence of a uniformly exponentially stable solution of a single uniformly almost periodic SDDE ensures the existence of exponentially stable almost periodic solutions.
We close this introduction by pointing out that the conclusions of this paper provide the tools to develop appropriate versions for the context of nonautonomous SDDEs of some applied models described by Arino et al. [1], Smith [26], Wu [29], Hartung et al. [11], Novo et al. [21], Insperger and Stépán [17], and some of the references therein. In particular, the results of this paper are the key point in the extension to the case of nonautonomous SDDEs of the results about exponential stability for biological neural networks of [21], which will be developed elsewhere.
2. Some preliminaries
In this section we introduce the basic notions of topological dynamics which will be used throughout the paper. They can be found in Sacker and Sell [23, 24], Chow and Leiva [4, 5], Shen and Yi [25], and references therein.
Let be a complete metric space. A (real, continuous) flow is defined by a continuous map , satisfying
- (f1)
,
- (f2)
for all ,
where for all and . The set is called the orbit of the point . A subset is -invariant (or just invariant) if for every (which clearly ensures that for every ). A subset is called minimal if it is compact, -invariant, and its only nonempty compact -invariant subset is itself. Zorn’s lemma ensures that every compact and -invariant set contains a minimal subset. Note that a compact -invariant subset is minimal if and only if each one of its orbits is dense. We say that the continuous flow is recurrent or minimal if itself is minimal. The flow is local if the map is defined, continuous, and satisfies (f1) and (f2) (this last one whenever it makes sense) on an open subset containing . And, in the case of a compact base , the flow is almost periodic if for every there exists such that, if satisfy (where is the distance on ), then for all .
As usual, we represent . If , is a continuous map which satisfies the properties (f1) and (f2) described above for all , then is a (real, continuous) semiflow. The set is the (positive) semiorbit of the point . If this semiorbit is relatively compact, the omega-limit set of the point (or of its semiorbit) is the set of limits of sequences of the form with . A subset is positively -invariant (or just -invariant, or invariant) if for all . This is the case of all the omega-limit sets. A positively -invariant compact set is minimal if it does not contain properly any positively -invariant compact set. If is minimal, we say that the semiflow is minimal. The semiflow is local if the map is defined, continuous, and satisfies (f1) and (f2) on an open subset containing . In this case, the definitions of positively invariant set and minimal set are the same as above. In particular, they are composed of globally defined positive semiorbits, so that the restriction of the semiflow to one of these sets is global. Note that, in the local case, we need to be sure that a semiorbit is (at least) globally defined in order to talk about its omega-limit set.
A continuous semiflow admits a continuous flow extension if there exists a continuous flow such that for all and . Let be a positively -invariant compact set. A point admits a backward extension in if there exists a continuous map such that and whenever . We will use the words “admits at least a backward extension in ” to emphasize the fact that the extension may be non unique. The set admits a continuous flow extension if the semiflow restricted to it admits one. It is known that, if the semiorbit of a point is relatively compact, then any element of the omega-limit set admits at least a backward extension in (see Proposition II.2.1 of [25]); and that, in the case that is locally compact, the existence of a continuous flow extension for is equivalent to the existence and uniqueness of a backward extension for each of its points (see in Theorem II.2.3 of [25]).
A (local or global, continuous) semiflow is of skew-product type when it is defined on a vector bundle and has a triangular structure. More precisely, let be a global semiflow on a compact metric space , and let be a Banach space. We will represent . A local semiflow () is a skew-product semiflow with base and fiber if it takes the form
[TABLE]
Property (f2) means that the map satisfies the cocycle property whenever the right-hand function is defined. It is frequently assumed that the base semiflow is in fact a flow. We will add explicitly this hypothesis when we use it.
Now we state some definitions about stability. All of them refer to properties of the skew-product semiflow defined by (2.1). The norm on and the corresponding distance are represented by and . A compact set projects over the whole base if for any there exists such that . This is the type of sets on which the concept of stability make sense. Note that this is always the case if is positively -invariant and is minimal.
Definition 2.1**.**
A positively -invariant compact set projecting over the whole base is uniformly stable if for any there exists , such that, if the points and satisfy , then is defined for and for all . The restricted semiflow is said to be uniformly stable.
Definition 2.2**.**
A positively -invariant compact set projecting over the whole base is uniformly asymptotically stable if it is uniformly stable and, in addition, there exists such that, if the points and satisfy , then is defined for and uniformly in . The restricted semiflow is said to be uniformly asymptotically stable.
Definition 2.3**.**
A positively -invariant compact set projecting over the whole base is exponentially stable if there exist , and , such that, if the points and satisfy , then is defined for and for all . The restricted semiflow is said to be exponentially stable.
The next definitions and properties refer to the special case of a linear skew-product semiflow. A global continuous skew-product semiflow is linear if it takes the form
[TABLE]
where is a bounded linear operator on ; in other words, if is linear in for each . In what follows, we assume that the base is a flow (not just a semiflow) on a compact metric space. This hypothesis will be weakened later: see Remark 2.5.
Definition 2.4**.**
The upper Lyapunov exponent of for the semiflow given by (2.2) is
[TABLE]
where
[TABLE]
and the upper Lyapunov exponent of the set for the semiflow is
[TABLE]
Proposition 2.1 of [5] proves that , and Theorem 4.2 of [4] shows that
[TABLE]
In addition, Proposition II.4.1 and Corollary II.4.2 of [25] show that
[TABLE]
Remark 2.5**.**
We will very often work with a linear skew-product semiflow
[TABLE]
for which the base is a global semiflow on a compact metric space, with the fundamental property that each one of its elements admits at least a backward extension in . (Recall that this is the situation at least in the case that is minimal, which we do not assume in what follows.) Our next purpose is to show that the previous definitions of Lyapunov exponents and the properties that we will require make sense also in this setting, in which the existence of a flow extension on is not required. Part of the argument is taken from Section II.2.2 of [25] and from Theorem 10 of Chapter 4 of [23]. Let us define
[TABLE]
that is, the elements of are the global orbits provided by all the backward extensions of all the elements of . Then is a compact subset of for the compact-open topology of , which agrees with the topology given by the distance
[TABLE]
that is, is a compact metric space. Note that we have assumed that for every there exists at least a point with . As said before, it is proved in Theorem II.2.3 of [25] that this correspondence is one-to-one if and only if the semiflow admits a continuous flow extension. In this more general setting, it is also possible to define a continuous flow on the set , called the lifting flow, which, roughly speaking, projects onto . It is given by , with . Hence, whenever we have, for ,
[TABLE]
Now we can define
[TABLE]
which is a continuous linear skew-product semiflow with base flow , and define the corresponding upper Lyapunov exponent for and . It is clear that only depends on , which belongs to . In other words, we can define and directly from , as in Definition 2.4, and then we have for , and . And it is clear that (2.3) and (2.4) are still valid.
Note finally that, if is minimal, then is also minimal. In order to prove this assertion, we must take in , and find a sequence in such that converges to uniformly on for all . Let us take and , use the minimality of to take a sequence in with , and deduce from the uniform continuity of on that uniformly on ; that is, uniformly on , which is the sought-for property.
We complete this section by fixing some notation which will be used throughout the paper. Given two Banach spaces and , represents the set of bounded linear maps equipped with the operator norm . The maximum delay of the equations that we will consider is represented by . The set represents the Banach space of continuous functions equipped with the norm , where represents the Euclidean norm in . The subset is given by the functions which have continuous derivative on (one-sided derivatives at the end points of the interval). The set is the space of Lebesgue-measurable functions which are essentially bounded, which means that there exists such that the set has zero measure. The norm on , which is defined as the inferior of the set of real numbers with the previous property, is denoted by . The set is the Banach space of Lipschitz-continuous functions equipped with the Lipschitz norm . Note that Arzelá–Ascoli theorem ensures that any bounded set of is relatively compact in . Finally, given a continuous function for and a time , we denote by the function defined by for .
3. FDEs with state-dependent delay
Let be a continuous flow on a compact metric space. As in the previous section, we write for and . Given and , we consider the family of nonautonomous SDDEs
[TABLE]
for . All or part of the following conditions will be assumed on and :
- H1
F:Ω×Rn×Rn→Rn is continuous, and its partial derivatives w.r.t. its second and third arguments exist and are continuous on . In particular, the functions exist and are continuous for .
-
H2
-
(1)
τ:Ω×C→[0,r] is continuous and differentiable w.r.t. its second argument, with continuous.
- (2)
D2τ is locally Lipschitz-continuous in the following sense: for every compact subset there exists a constant such that
[TABLE]
for all and in .
Remark 3.1**.**
Note that H2(1) ensures the next property:
-
H2
-
(3)
τ is locally Lipschitz-continuous in this sense: for every compact subset there exists a constant such that
[TABLE]
for all and in .
In order to prove this assertion, we take a compact subset and note that the set is also compact in . We define . Then,
[TABLE]
whenever and , , as asserted.
Let us now summarize the most basic properties of the solutions of the equation (3.1) ensured by hypotheses H1 and H2(1). In the statement of the next theorem a fundamental role is played by the set of pairs “(equation, initial datum)” which satisfy the compatibility condition given by the vector field; namely
[TABLE]
The next result, strongly based on previous properties proved in [7], is proved in Theorem 3.3 and Corollary 3.4 of [20].
Theorem 3.2**.**
Suppose that conditions H1 and H2(1) hold. Then,
- (i)
for and , there exists a unique maximal solution of the equation (3.1) corresponding to satisfying for , which is defined for with . In particular, is continuous on and satisfies (3.1) on , and there exists the lateral derivative .
Let us define for , , and . Then,
- (ii)
* for all .*
- (iii)
If then and, in addition, the set is relatively compact in .
Let us further define by (3.2) and
[TABLE]
and provide , , and with the respective subspace topologies. Then,
- (iv)
the set is open in and satisfies conditions (f1) and (f2) of Section 2 (wherever it makes sense, and with replaced by ).
- (v)
The map is continuous.
- (vi)
The map is continuous.
- (vii)
Let us fix with nonempty. Then the map is continuous.
- (viii)
The map is continuous.
- (ix)
Let be a positively -invariant compact set. Then the restriction of to defines a global continuous semiflow on .
Note that point (i) states that
[TABLE]
where the derivative at must be understood as the right-hand derivative.
Remark 3.3**.**
As anticipated in the Introduction, we will say that is a pseudo-continuous semiflow. The definitions of semiorbit, positively -invariant set and of minimal set are the same. Note that the positively -invariance of a set ensures that . If is a positively -invariant compact set , then also the definition of existence of backward extension of its element in is the same. In addition, if a point has bounded -semiorbit (which ensures that and that is relatively compact), we can define its omega-limit set as in Section 2: Theorem 3.6(ii) will show that this causes no confusion. Finally, also Definitions 2.1, 2.2 and 2.3 can be directly adapted to .
In most of this section, we will be working with a subset of satisfying the following conditions (see Section 2 and Remark 3.3):
Hypotheses 3.4**.**
Conditions H1 and H2(1) hold, and is a positively -invariant compact set such that each one of its elements admits a backward extension in .
Remark 3.5**.**
If Hypotheses 3.4 hold, then the semiflow is globally defined and continuous: see Theorem 3.2(ix), and note that we denote with the same symbol the restriction . In addition, the existence of backward extension in of its elements ensures that , where is defined by (3.2).
Such a set will be fixed once we have proved the next theorem. It shows that any positively -invariant bounded set determines a positively -invariant compact set; and it explains that each positively -invariant compact set contains a maximal subset satisfying the conditions of Hypotheses 3.4.
Theorem 3.6**.**
Suppose that conditions H1 and H2(1) hold, and let be defined by (3.3).
- (i)
If is a positively -invariant bounded set, then the set
[TABLE]
is a positively -invariant compact set.
- (ii)
Let have bounded semiorbit. Then its omega-limit set is well-defined, positively -invariant, and compact. In addition, any point admits at least a backward extension in .
- (iii)
If is a positively -invariant compact set, then the set
[TABLE]
is a nonempty positively -invariant compact set, and is the maximal subset of with these properties.
Proof.
(i) The positively -invariance of follows easily from Theorem 3.2(vii). Therefore, it suffices to show that given any sequence in , the sequence admits a subsequence which converges to a point . We can assume without restriction that there exists , so that . We represent and note that for all . Since is bounded in , the sequence is uniformly bounded in . In addition,
[TABLE]
for . The bound of together with H1, Theorem 3.2(v) and H2(1), ensures that the sequence is also contained in and is uniformly bounded on . Therefore, Arzelá–Ascoli theorem provides a subsequence which converges uniformly on to a function . In addition, hypotheses H2(1) ensures that the sequence converges to the function uniformly on . Therefore,
[TABLE]
uniformly on . In turn, this property ensures that (which, by (3.5), agrees with the sequence ) converges to the point for . Since for , we see that there exists for and that it agrees with . This fact together with (3.5) and (3.6) shows that converges to uniformly on . Altogether, we see that the sequence converges to in , which proves (i).
(ii) Theorem 3.2(iii) shows that the classical definition of omega-limit set of a point with bounded -semiorbit makes sense. Since it agrees with the omega-limit set of the point , we can adapt the proof of (i) to show that is compact. Its positively -invariance follows from Theorem 3.2(vii). Theorem 3.2(ix) ensures that the restricted semiflow is continuous, and hence Proposition II.2.1 of [25] proves the last assertion in (ii).
(iii) It is clear that the set is a positively -invariant subset of . Since contains at least a minimal subset, point (ii) ensures that the set is nonempty. Therefore, since is compact, the goal is to check that is closed. Let us fix a point . We will follow an iterative procedure. The first step is to find a point and a continuous map such that: ; ; and
[TABLE]
To this end, we take a sequence in with limit . For each we choose a backward orbit of in , which we write as . It is clear that for any : its backward orbit is in fact provided by the same map. In addition, , and
[TABLE]
The compactness of provides a subsequence of such that there exists . We call this limit and note that . We define
[TABLE]
which satisfies the required conditions: the positively -invariance of ensures that it is well defined; it is obvious that ; in addition,
[TABLE]
(here we use Theorem 3.2(vii) or (ix)); and finally, if , then
[TABLE]
This completes the first step.
Now we iterate the process in order to obtain a sequence of points in and a sequence of continuous functions with such that if , then
[TABLE]
It is not hard to deduce from these facts that the continuous map obtained by concatenating the previous maps is a backward extension of in . This completes the proof of the compactness of .
The last assertion of (iii) is obvious. ∎
As said before, in the rest of the section we fix a set satisfying Hypotheses 3.4 (see also Remark 3.5). Let us define by
[TABLE]
and associate to (3.1) the family of linear variational equations
[TABLE]
for . Let us summarize the strategy of the remaining part of this section. The solutions of this family of linear FDEs (of time-dependent delay type) will allow us to define two semiflows on two different bundles with base . More precisely, on and on . Corollary 4.3 of [20] states that the first one is pseudo-continuous and the second one continuous. The assumptions made on ensure that the construction made in Remark 2.5 applies to both semiflows, despite the lack of global continuity of the first one. In particular, it makes sense to talk about the upper Lyapunov exponents of these two linear skew-product semiflows for which is the base. It is also proved in [20] (see Theorem 3.7 below) that the first semiflow is that usually called the linearized semiflow of . This means that the corresponding upper Lyapunov exponent (which can be defined despite the possible noncontinuity of the semiflow) is that which responds to the classical concept. But it also turns out that the second upper Lyapunov exponent is often “easier to handle”. Theorem 3.10 solves the disjunctive: it shows that in fact these two quantities agree.
We will now describe the two mentioned semiflows. First, for each and , we denote by the solution of (3.8) with initial condition (that is, with for each ), which is defined for all and is linear with respect to . In addition, the map is continuous. These properties allow us to define a global linear skew-product semiflow on the set by
[TABLE]
where for all and . As said before, Corollary 4.3 of [20] proves that this semiflow is pseudo-continuous. In particular, for all , the linear map
[TABLE]
is continuous.
There is a strong relation between the semiflows and , as the next result shows. It is proved in Theorem 4.4 of [20], in turn based on Theorems 2 and 4 of [7].
Theorem 3.7**.**
Suppose that H1 and H2(1)* hold. Let us fix . If , then there exists*
[TABLE]
uniformly in . In addition, .
The definition of the second semiflow is now given. For each and , let denote the solution of (3.8) with initial condition . Corollary 4.3 of [20] proves that the solutions of (3.8) induce a global continuous linear skew-product semiflow on the set , defined by
[TABLE]
where for all . We represent
[TABLE]
which is a linear continuous map for all . Note that
[TABLE]
It is easy to deduce from the fact that solves (3.8), from Hypotheses 3.4 and from the expression of obtained from (3.7) that, if and , then for . This means that the map , defined on by (3.13), takes values in for . The next goal is to check that this map is continuous when it is defined from to . This property will be used in the proof of Theorem 3.10.
Proposition 3.8**.**
Suppose that Hypotheses 3.4 hold. Given and , we define
[TABLE]
where is given by (3.13). Then the map is well-defined and continuous. If, in addition, , then the map is compact. Finally, if , then the map given by (3.10) is compact.
Proof.
It has already been said that, if and , then , and hence the map is well defined. It follows from this property and from (3.14) that , where is defined by (3.10). Thus, since is continuous (see (3.10)), in order to prove that is continuous it suffices to prove that is continuous.
Take , so that and
[TABLE]
for all . Then,
[TABLE]
where
[TABLE]
This proves the continuity.
In order to prove the second assertion of the proposition, take and write, as before, . Since the map is continuous, it suffices to prove that is compact.
Let us take a bounded sequence in C. It follows from (3.17) that the sequence is bounded. Arzelá-Ascoli theorem provides a subsequence of such that converges to a function . Hence, the sequence (\widehat{\pi}_{L}(2r,\omega,\bar{x})v_{k})=\big{(}(\widehat{\pi}_{L}(r,\Pi(r,\omega,\bar{x}))\circ\widetilde{\pi}_{L}(r,\omega,\bar{x}))v_{k}\big{)} converges to . This shows the compactness of and hence of .
The last assertion of the proposition is an immediate consequence of the previous one and of the fact that any bounded sequence in determines a bounded sequence in . This completes the proof. ∎
For further purposes, we point out that Proposition 3.8 allows us to assert that
[TABLE]
is finite, where is defined by (3.15). In fact, it follows from (3.17) that , with and given by (3.18).
Despite the possible lack of continuity of the semiflow defined by (3.9), Definition 2.4 provides two well-defined values, which we call and denote upper Lyapunov exponent of for and upper Lyapunov exponent of the semiflow . We also denote by the upper Lyapunov exponent of (given by (3.12)) for ; and by the upper Lyapunov exponent of .
Remark 3.9**.**
Despite the lack of classic continuity of the semiflow , we can repeat the arguments of Theorem 4.2 of [4] in order to check that, if , then
[TABLE]
The next theorem shows that the upper Lyapunov exponents of both semiflows coincide.
Theorem 3.10**.**
Suppose that Hypotheses 3.4 hold. Let and be defined by (3.9) and (3.12) for and , and let and be defined by (3.18) and (3.19). And define , , and as in the preceding paragraph. The following statements hold:
- (i)
If , then
[TABLE]
for every .
- (ii)
* for every .*
- (iii)
If , then
[TABLE]
for every .
- (iv)
* for every .*
- (v)
.
Proof.
We take , and , and note that
[TABLE]
In addition, if , we have
[TABLE]
see (3.16), which is valid for instead of , and recall that , since . Hence, for . Thus, since ,
[TABLE]
and this proves (i). Now, (ii) is an easy consequence of the equalities (2.3) and (3.20) for and .
Now we take , and . Then,
[TABLE]
This proves (iii). Property (iv) is an immediate consequence, and (v) follows from (ii) and (iv). ∎
Definition 3.11**.**
Suppose that Hypotheses 3.4 hold. The upper Lyapunov exponent of the set for the semiflow is .
4. Exponential stability of invariant compact sets
The structure of Sections 4 and 5 is similar: we establish conditions characterizing the exponential stability of the positively invariant compact subsets of the pseudo-continuous semiflow defined on by (3.3) in terms of the corresponding upper Lyapunov exponents. The hypotheses assumed in this section are more restrictive than those of the next one, and they allow us to obtain stronger conclusions: compare the statements of Theorems 4.2 and 5.2. Although part of the hypotheses are common, we write down now the whole list for the reader’s convenience. Recall that is a continuous flow on a compact metric space, with .
- H1
F:Ω×Rn×Rn→Rn is continuous, and its partial derivatives with respect to the second and third arguments exist and are continuous on . In particular, the functions exist and are continuous for .
-
H2∗
-
(1)
τ:Ω×C→[0,r] is continuous and differentiable in the second argument, with continuous.
- (2)
τ is locally Lipschitz-continuous in this sense: for every bounded and closed subset there exists a constant such that
[TABLE]
for all and , .
- (3)
D2τ is locally Lipschitz-continuous in the following sense: for every bounded and closed subset there exists a constant such that
[TABLE]
for all and , .
Let be defined by (3.3) from the family (3.1) of FDEs. Throughout this section, we will work under
Hypotheses 4.1**.**
Conditions H1 and H2∗ hold, and is a positively -invariant compact set projecting over the whole base and such that each one of its elements admits at least a backward extension in .
Recall that the semiflow is global and continuous, and that : see Remark 3.5. The goal of this section is to prove that the exponential stability of can be characterized in terms of its upper Lyapunov exponent by the condition . We will also show that the property of the exponential stability can be formulated either in terms of the -norm or of the -norm. These two results are stated in the following theorem, whose proof requires three preliminary technical lemmas. Recall Definition 3.11 of , and that Theorem 3.10 shows that it is the upper Lyapunov exponent both form the linearized semiflow given by (3.9) on and by (3.12) on ; in fact, both definitions of will be used in the proof. It is interesting to remark that part of this result and the corresponding proof could be somehow standard if the semiflow were on an open neighborhood of . But the assumptions of this paper do not allow us to deduce this condition.
Theorem 4.2**.**
Suppose that Hypotheses 4.1 hold, and let be given by Definition 3.11. The following statements are equivalent:
- (1)
.
- (2)
There exist , , and such that, if and satisfy , then the function is defined for and
[TABLE]
so that
[TABLE]
- (3)
The set is exponentially stable; i.e., there exist , , and such that, if and satisfy , then the function is defined for , and
[TABLE]
In addition, if (i) holds, we can take any in (2) and (3) (by changing the constants and if required).
Before stating and proving the mentioned lemmas, we fix some real parameters and a set which will play an important role in what follows. We define
[TABLE]
and represent by and the Lipschitz constants of the functions and on , respectively provided by conditions H2∗(2) and H2∗(3). We also denote
[TABLE]
It follows from H2∗(3) that , so that it is finite. Condition H1 ensures the same property for , and . We assume without restriction that the six constants , , , , and are strictly positive.
Recall the notations and established in Section 3. Recall also that they are defined for and , respectively. And note that if . In the proofs of the next three lemmas, and in that of Theorem 4.2, we will be working under Hypotheses 4.1, and with two previously fixed points and . Therefore, the functions and are both defined in and the functions and are both defined on . To simplify the notation, we will represent
[TABLE]
We will also be working under the assumption
[TABLE]
where is a fixed time in . This inequality together with the fact that belongs to ensures that
[TABLE]
Lemma 4.3**.**
Suppose that Hypotheses 4.1 hold. Then, for every there exists such that, if , , , and for every , then
[TABLE]
for every . The notation (4.3) is used in this statement.
Proof.
Let us fix , and . The notation (4.3) will be used in the proof. In what follows we will assume (without loss of generality) that (4.4) holds, and hence that inequalities (4.5) are valid.
Since (see Remark 3.5), we have . For each , we define by
[TABLE]
Thus,
[TABLE]
so that the assertion of the lemma is equivalent to the property
[TABLE]
The chain rule implies that is continuously differentiable, and that
[TABLE]
Since , we can take with . Having in mind the definitions of and , and the second bound in (4.5), we have, if ,
[TABLE]
The restricted map , is uniformly continuous. Therefore, given our , there exists such that, if , then for every . Now we take the point such that . Then, if , we obtain
[TABLE]
In addition to (4.4), we assume that
[TABLE]
so that
[TABLE]
and consequently, for all ,
[TABLE]
Finally, in addition to (4.4) and (4.7), we assume that
[TABLE]
so that, for all ,
[TABLE]
Altogether, these properties show that (4.6) holds if (4.4), (4.7) and (4.8) hold, for which it suffices to take \delta_{3}:=\min\big{(}1,\,\rho_{\varepsilon}/L_{1}^{0},\,\varepsilon/(2L_{2}^{0}|F|_{0})\big{)} and for all . This is the value of appearing in the statement. ∎
Lemma 4.4**.**
Suppose that Hypotheses 4.1 hold. Then, for every there exists such that, if , , , and for every , then
[TABLE]
The notation (4.3) is used in this statement.
Proof.
Let us fix , and . The notation (4.3) will be used in the proof. And we will assume that (4.4) holds, so that also (4.5) holds.
The inequality is almost immediate for , so we must just consider the case . Note that
[TABLE]
We take and use (3.4) to calculate . Since
[TABLE]
and if and , we can apply (4.5) and the definitions of and in order to obtain
[TABLE]
Note that, due to (4.5), and belong to . Hence, by the definition of ,
[TABLE]
Therefore, using again (3.4) and (4.5), we obtain
[TABLE]
Altogether, we have
[TABLE]
This inequality together with those given by (4.11) and (4.9) prove the lemma for \delta_{4}:=\min\big{(}1,\varepsilon/\big{(}\|D_{2}F\|_{0}+\|D_{3}F\|_{0}(1+|F|_{0}L_{1}^{0})\,L_{1}^{0}\,\big{)}\big{)}. ∎
Lemma 4.5**.**
Suppose that Hypotheses 4.1 hold, and define by
[TABLE]
where is given by (3.7). Then, for every there exists such that, if , , , and for every , then
[TABLE]
The notation (4.3) is used in this statement.
Proof.
Let us fix , and . The notation (4.3) will be used in the proof. In what follows we will assume that (4.4) holds, and hence also (4.5) is valid.
We write and for . The definitions of and (see (3.7)) together with (4.10) yield
[TABLE]
Let us fix . The last sum has three terms. Each of the two first ones is bounded by for . In order to check this assertion, note that
[TABLE]
The first inequality is obvious. To prove the second one, use (4.12) to check that
[TABLE]
In addition, since Hypotheses 4.1 hold, there exists such that, if and (as is the case of and , according to (4.5)), and if (as it happens with for all if ) and (as it happens with for all if ), then, for every , it is and . It follows easily that the assertion concerning the bound of the two first terms is true if for all .
To bound the last term, note that \|D_{3}F(\omega{\cdot}t,\bar{y}(t),\bar{w}(t))\big{\|}_{\text{\rm Lin}(\mathbb{R}^{n},\mathbb{R}^{n})}\leq\|D_{3}F\|_{0}: use (4.5) and the definition of . In addition,
[TABLE]
Lemma 4.3 provides (irrespective of and ) such that, if for all , then the first term of the last sum is bounded by \big{(}\varepsilon/(4\,\|D_{3}F\|_{0})\big{)}\,\|u(t)-\bar{u}(t)\|_{C} for all . In addition, Lemma 4.4 ensures the existence of (also irrespective of and ) such that, if for all , then
[TABLE]
Altogether, if we take and assume that for all , we have
[TABLE]
and, since , this proves the statement of the lemma. ∎
We can finally prove the main theorem of this section.
Proof of Theorem 4.2. (1)(2) We consider the linear system
[TABLE]
where is defined by (3.7). Let be the fundamental solution of (4.13) in the terms given in Chapter 1 of [6]; i.e., for each the matrix-valued map is a solution of for , and it satisfies
[TABLE]
for all . Here and are the identity and zero matrices.
We assume that , fix any , and choose with . Theorem 3.10 together with the expression (3.13) of the flow on and relation (2.4) ensures the existence of a constant such that and for every , , and .
We fix small enough to apply Lemma 4.5 and satisfying the additional bound . Let be the real number provided by Lemma 4.5. Recall that the functions and are defined on . We take and , and use the notation (4.3) from now on. It is easy to check that (which satisfies ) is a solution of the FDE
[TABLE]
for every , where is defined in the statement of Lemma 4.5. We apply an adapted version of the variation of constants formula (see Section 2 of Chapter 6 of [6]) in order to represent as
[TABLE]
where is the solution of (3.8) with initial condition .
We begin by considering the case . Let us assume that (later we will assume a stronger condition) and define . Note that . Applying Lemma 4.5 we have
[TABLE]
and hence
[TABLE]
Let us define . It is not hard to check that
[TABLE]
Using the Gronwall Lemma, we obtain
[TABLE]
Consequently,
[TABLE]
where , and hence
[TABLE]
Now we assume that . Then for any , so that for all . An easy contradiction argument shows that (so, in particular, ) and hence that
[TABLE]
In particular,
[TABLE]
Let us consider now the case . We assume that (later the condition will be stronger) and define , which satisfies : see (4.17). Applying Lemma 4.5, now for , and using (4.17),
[TABLE]
Let us call . We multiply the previous inequality by , so that, since ,
[TABLE]
Now we for and distinguish two cases.
In the first case, we assume that for , and there exists with such that . Since , we can apply (4.17) to conclude that
[TABLE]
Consequently,
[TABLE]
In the second case, which exhausts the possibilities, for , and there exists with and . We denote , so that . Then, using (4.18),
[TABLE]
Thus, due to the choice of ,
[TABLE]
It follows easily that
[TABLE]
Let us take , and take . Then, using (4.16), (4.19) and (4.20), we have
[TABLE]
As before, an easy contradiction argument shows that , and hence . Let us define . The bound (4.1) follows from this fact and (4.21) for , and is trivial for (since .
Finally, it is obvious that is defined for . The bound (4.2) follows almost immediately from (4.1) and from the definition of .
(2)(3) We assume that (2) holds, take and with , and use again the notation (4.3).
Let us fix small enough to apply Lemma 4.5 (that is, ), and denote by the constant that this lemma provides. We define (where is the constant appearing in (2)) and assume that . Then, according to (4.2), for , and hence Lemma 4.5 ensures that
[TABLE]
Recall now that (4.15) holds. We define and use (4.2) to see that
[TABLE]
for every . Now we define and combine (4.2), (4.22), and the definition of to conclude that
[TABLE]
Therefore, the assertion in (3) holds for .
(3)(1) Let us take , and . Theorem 3.7 ensures that
[TABLE]
Take small enough to guarantee , with provided by (3). Then, . Making again use of Theorem 3.7, which, according to (3.20) (for the linearized semiflow (3.9)), ensures that and completes the proof of this implication.
In order to check that last assertion of the theorem it is enough to have a look to the choice of in the proof of (1)(2), and observe that the value of in (3) is the same one as in (2).∎
5. Weakening the hypotheses
Let be the semiflow defined on by (3.3) from the family (3.1) of FDEs. In this section we work under the following assumptions, which are less restrictive than those of the preceding one:
Hypotheses 5.1**.**
Conditions H1 and H2 hold, and is a positively -invariant compact set projecting over the whole base and such that each one of its elements admits at least a backward extension in .
As in the preceding sections, the set will be fixed throughout most of this one. The first purpose now is to adapt to this less restrictive setting the characterization of the exponential stability of in terms of its upper Lyapunov exponent. The difference with respect to Theorem 4.2 relies on the second equivalent condition, which characterizes the exponential stability in terms of instead of . To formulate it, we call
[TABLE]
Theorem 5.2**.**
Suppose that Hypotheses 5.1 hold. and let and be respectively given by Definition 3.11 and (5.1). The following statements are equivalent:
- (1)
.
- (2)
There exists satisfying the following property: if we fix , there exist constants and such that, if and satisfy and , then the function is defined for and
[TABLE]
so that
[TABLE]
- (3)
The set is exponentially stable; i.e., there exist , , and such that, if and satisfy , then the function is defined for , and
[TABLE]
In addition, if (1) holds, we can take any in (2) and (3) (by changing the constants and if required).
The proof of this theorem reproduces basically that of Theorem 4.2. It is also based on three lemmas (Lemmas 5.4, 5.5 and 5.6), whose statements are very similar to those of Section 4 and whose proofs are almost identical. Just a little of previous work is required in order to adapt everything to the less restrictive hypotheses we are considering now. Given any , we denote
[TABLE]
which is a compact subset of , and represent by and the Lipschitz constants of the functions and on , respectively provided by conditions H2(3) and H2(2). As in Section 4, we take
[TABLE]
and define
[TABLE]
Now we fix and define
[TABLE]
To check that , we note that it agrees with the supremum of on a relatively compact subset of , which is finite by condition H2(2). We assume without restriction that , , , and are strictly positive.
Lemma 5.3**.**
Suppose that Hypotheses 5.1 hold, and fix . We fix and . Then,
[TABLE]
and if
[TABLE]
for a time , then
[TABLE]
The notation (4.3) is used in this statement.
Proof.
Note that for all . The inequalities (5.2) and (5.3) follow from this fact and the definitions of and . We assume (5.4), which together with (5.2) ensures (5.5). Before proving (5.6), note that (5.7) follows immediately from (5.3), (5.6), and the definition of .
In order to prove (5.6), we take and , and note that
[TABLE]
If , then . Assume now that , so that . It follows from (5.5) that and . So, by definition of , we have . Hence . Finally, (5.5) yields
[TABLE]
as asserted. ∎
Now we give the statements of the lemmas which play, for the proof of Theorem 5.2, the role played by Lemmas 4.3, 4.5 and 4.4 in the proof of Theorem 4.2.
Lemma 5.4**.**
Suppose that Hypotheses 5.1 hold, and fix . Then, for every there exists such that, if , , , and for every , then
[TABLE]
for every . The notation (4.3) is used in this statement.
Lemma 5.5**.**
Suppose that Hypotheses 5.1 hold, and fix . Then, for every there exists such that, if , , , and for every , then
[TABLE]
The notation (4.3) is used in this statement.
Lemma 5.6**.**
Suppose that Hypotheses 5.1 hold, fix , and define by
[TABLE]
where is given by (3.7). Then, for every there exists such that, if , , , and for every , then
[TABLE]
The notation (4.3) is used in this statement.
This completes the summary of ideas regarding the proof of Theorem 5.2.
The following consequence of Theorem 5.2 in the case of minimal base flow will play a fundamental role in the rest of the paper. Recall that the set is a -cover of if each fiber contains exactly elements.
Corollary 5.7**.**
Suppose that the base flow is minimal, that Hypotheses 5.1 hold, and that . Then, there exists such that is a -cover of , and the semiflow admits a flow extension. In addition,
- (i)
for each there exist a neighborhood of and continuous maps such that
[TABLE]
for all .
- (ii)
The set is the disjoint union of a finite number of minimal sets , where is an exponentially stable -cover of the base for .
Proof.
Theorem 5.2 ensures that is exponentially stable, so that it is uniformly asymptotically stable. Theorem 3.5 of Novo et al. [22], which is based on previous results of Sacker and Sell [23], proves that is a -cover of the base for a . The fact that admits a flow extension follows for instance from Theorem 3.4 of [22].
(i) This assertion can be easily proved by combining two facts: first, the closed character of ensures the continuity of the map in the Hausdorff topology of the set of compact subsets of (see Theorem 3.3 of [22]); and second, always contains elements.
(ii) Let be a minimal set. It is obvious that , and hence, as we have already proved, is an exponentially stable -cover of the base with . It is easy to deduce from the existence of flow extensions on and that is also positively -invariant. Let us now take a sequence with limit . Theorem of [22] ensures that and respectively converge to and in the Hausdorff topology of the set of compact subsets of , and it is not hard to deduce from here that converges to , and hence that is a positively -invariant compact set. Obviously, . Altogether, we see that the set satisfies the same conditions as , so that it is a -cover of the base. Repeating the process a finite number of times (at most ) leads us to the desired conclusion. ∎
This section contains two more results, both of them referred to the case in which the base flow is minimal. The last one, Theorem 5.9, extends the information given by Theorem 5.2: it proves that, if each minimal subset of a positively -invariant compact set has negative upper-Lyapunov index, then contains a finite number of minimal sets, and its connected components are the positively -invariant subsets determined by the domains of attraction of its minimal subsets. Recall that the domain of attraction of a minimal set with is defined, in this skew-product setting, by
[TABLE]
Note that we are not assuming the existence of backward extensions for the elements of . The proof of Theorem 5.2 relies on Proposition 5.8, which shows several properties for in the case that .
Proposition 5.8**.**
Suppose that the base flow is minimal, that conditions H1 and H2 hold, and that is a minimal set with . Then,
- (i)
the domain of attraction of , , is an open and connected positively -invariant set.
- (ii)
For all and all compact set there exists a constant such that, for every , there exists with
[TABLE]
Proof.
(i) It is obvious that the set is positively -invariant. We fix and apply Theorem 5.2 to find and such that, if and satisfy , then and for all . Let us fix and look for and such that . We also look for such that, if and , then . And we finally look for such that, if , then and in addition, if , then (see Corollary 5.7). Finally, we take with and . Then we have
[TABLE]
Therefore,
[TABLE]
for all . This inequality ensures that , and hence that is open in , as asserted.
In order to prove that is connected, write for two disjoint open subsets and of . Since is connected (as any minimal set), then it is contained in one of these sets, say . But any point is connected with by a positive semiorbit, which together with the positively -invariance of shows that is empty. The conclusion is that is connected, which completes the proof of (i).
(ii) We fix again and take constants and with the same properties as in the proof of (ii). Let us define
[TABLE]
It follows easily from Corollary 5.7 that is an open subset of . Note also that there exists such that for all , as easily deduced from Theorem 5.2 and the definition of .
Let us take a compact set . The next goal is to check that there exists such that . The definition of ensures that, for any , there exists such that and, since is open, the same happens for all the points in a neighborhood of . Hence, for all and all . The compactness of proves the existence of .
Therefore, if , then there exists such that . Since admits a flow extension, there exists . So,
[TABLE]
for . The assertion in (ii) follows easily from the uniform continuity of and (ensured by Theorem 3.2(v)) and the boundedness of on the compact subsets of . ∎
Theorem 5.9**.**
Suppose that the base flow is minimal and that conditions H1 and H2 hold. Let be a positively -invariant compact set such that, for any minimal subset , it is . Then,
- (i)
The omega-limit set of any is a minimal subset of .
- (ii)
* contains a finite number of minimal sets, .*
- (iii)
If are the corresponding domains of attraction, then the sets are compact and connected positively -invariant sets for , they are pairwise disjoint, and \mathcal{P}=\bigcup_{j=1}^{\,l}\big{(}\mathcal{P}\cap\mathcal{D}(\mathcal{M}_{j})\big{)}.
In particular, if is connected, it contains just one minimal set.
Proof.
(i) Let us take a point , a minimal set , and a point . By hypothesis, . We take a sequence such that . This fact, the open character of established in Proposition 5.8(i), and the existence of backward orbits in , ensure the existence of a point such that . This means that , which proves (i).
(ii) Suppose that contains two different minimal subsets and . It is obvious that and are disjoint. On the other hand, it follows from (i) that is contained in the union of the domains of attraction of all its minimal subsets, each one of which is an open set with nonempty intersection with . Hence, (ii) follows from compactness of .
(iii) It follows from (i) and (ii) that \mathcal{P}=\bigcup_{j=1}^{\,l}\big{(}\mathcal{P}\cap\mathcal{D}(\mathcal{M}_{j})\big{)}. Our first goal is to prove that the positively -invariant set is closed (and hence compact) for . Let us fix and take a sequence with limit . We look for such that . Since this set is open in , there exists such that , and since is empty if , then . That is, is closed, as asserted.
In order to prove that each set is connected, we assume by contradiction that for an index we can write for two disjoint open subsets and of . Since is a connected subset of , we can assume without restriction that . And since is a positively -invariant subset of , we conclude that is empty. This completes the proof of (iii),
The last assertion of the theorem follows trivially from (iii) together with the open character of ensured by Proposition 5.8(i). ∎
Remark 5.10**.**
It is important to emphasize the fact that, if the flow is almost periodic and is a minimal -cover of the base admitting a flow extension, then the flow is also almost periodic: see [23], Theorem 6 of Chapter 3. Therefore, Corollary 5.7 ensures the following property. Assume that our family (3.1) is constructed by the usual hull procedure (summarized in the Introduction) from a single FDE given by a uniformly almost periodic pair . Then the existence of a minimal set with ensures the existence of exponentially stable almost-periodic solutions of the initial system. Note also that the existence of such a set is ensured by the existence of a bounded and uniformly exponentially stable solution on of the initial system: it is easy to check that the omega-limit set of such a solution for the flow associated to the family of FDE defined on the corresponding hull is a minimal subset of (just repeat the proof of Theorem 5.9(i)), which in addition is exponentially stable.
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