The Selgrade decomposition for linear semiflows on Banach spaces
Alex Blumenthal, Yuri Latushkin

TL;DR
This paper extends classical dynamical systems concepts like Selgrade's Theorem and Morse spectrum to linear semiflows on Banach spaces, providing a characterization of exponential separation in infinite-dimensional settings.
Contribution
It generalizes finite-dimensional dynamical systems results to the Banach space setting, introducing new tools for analyzing linear skew product semiflows.
Findings
Characterization of exponentially separated subbundles as attractor-repeller pairs
Extension of Selgrade's Theorem to Banach bundles
Recovery of finite-dimensional properties in infinite-dimensional context
Abstract
We extend Selgrade's Theorem, Morse spectrum, and related concepts to the setting of linear skew product semiflows on a separable Banach bundle. We recover a characterization, well-known in the finite-dimensional setting, of exponentially separated subbundles as attractor-repeller pairs for the associated semiflow on the projective bundle.
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Taxonomy
TopicsStability and Controllability of Differential Equations · Quantum chaos and dynamical systems · Mathematical Dynamics and Fractals
The Selgrade decomposition for linear semiflows on Banach spaces
Alex Blumenthal
Alex Blumenthal
4305 Kirwan Hall
University of Maryland
College Park, MD 20742
[email protected] http://math.umd.edu/ alexb123/ and
Yuri Latushkin
Yuri Latushkin, 104 Mathematics Bldg., University of Missouri, Columbia, MO 65211
[email protected] https://faculty.missouri.edu/ latushkiny/
Abstract.
We extend Selgrade’s Theorem, Morse spectrum, and related concepts to the setting of linear skew product semiflows on a separable Banach bundle. We recover a characterization, well-known in the finite-dimensional setting, of exponentially separated subbundles as attractor-repeller pairs for the associated semiflow on the projective bundle.
Key words and phrases:
Attractors, repellers, linear skew product flow, Morse decomposition, exponential separation, exponential dichotomy, infinite dimensional dynamical system, Gelfand numbers
2010 Mathematics Subject Classification:
Primary: 37C70, Secondary: 37L30, 37B25, 35B41
First author: This material is based upon work supported by the National Science Foundation under Award No. 1604805. Second author: Partially supported by the NSF grant DMS-1067929, by the Research Board and Research Council of the University of Missouri, and by the Simons Foundation.
Dedicated to the memory of George Sell, to whom we owe so much.
1. Introduction and statement of results
In a brilliant series of papers by George Sell [35, 36, 37, 34, 38] and his collaborators and contemporaries [22, 23, 40, 41], a foundation of the modern theory of finite-dimensional linear skew product flows was laid out and numerous connections to ordinary differential equations were established. Moreover, there is by now a considerable literature dedicated to the treatment of partial differential equations as dynamical systems. Of particular interest for dynamicists are dissipative PDE, for example dissipative parabolic problems (e.g., Navier-Stokes in two dimensions and reaction-diffusion equations) and dispersive wave equations. Many such equations can be thought of as differentiable dynamical systems on infinite-dimensional Hilbert or Banach spaces [18, 42]. Moreover, many such systems admit global compact attractors [2, 17], and so can be studied using techniques adapted from classical dynamical systems theory for finite-dimensional systems. For more information we refer the reader to [1, 8, 25, 45].
Let us restrict the discussion to a certain subclass of techniques: decompositions of the tangent bundle into continuous and measurables subbundles and associated spectra, for now in the finite-dimensional setting. Notable such decompositions include those of Sacker-Sell [35, 23, 38], Selgrade [41], and Oseledets [28]; see also [16, 30, 31], and see [15] for a general reference. These objects are useful in a variety of ways, e.g., in establishing existence of invariant manifolds for the dynamics.
Many properties of the Sacker-Sell decomposition and spectrum have been extended to a setting amenable to applications to PDE by Sacker and Sell [39] and many others [10, 12, 13, 14, 26, 43, 44]. To briefly review, this decomposition splits the tangent bundle into (continuous) subbundles, possibly infinite-dimensional, each pair of which satisfies exponential dichotomy: two subbundles have an exponential dichotomy if there exists some such that the smallest asymptotic exponential growth rate on one subbundle is strictly larger at every base point, while the largest exponential growth rates on the other subbundle is strictly smaller.
The Oseledets decomposition and associated Lyapunov spectrum (a.k.a. Lyapunov exponents) has been similarly extended to the setting of cocycles of linear operators on infinite-dimensional Banach spaces; see, e.g., [27, 32, 46], as well as [3] and the literature cited therein. The Oseledets decomposition is really an aspect of the ergodic theory of a linear cocycle: roughly, it can be thought of as the ’measurable’ counterpart to the Sacker-Sell decomposition. In particular, Oseledets subbundles are defined only at almost every base point with respect to a given invariant measure on the base, and vary measurably as opposed to continuously in the fiber. Consequently, the Oseledets decomposition is typically much finer than the Sacker-Sell decomposition; see, e.g., [10, 15] for more on this subject.
What is missing from the literature, however, is an extension of the Selgrade decomposition to the infinite-dimensional setting. The purpose of this paper is to address this gap, obtaining a Selgrade-type decomposition for linear semiflows of Banach space operators. The results in this paper are applicable to the derivative cocycles of a large class of dissipative parabolic equations.
In the finite-dimesional setting, the Selgrade decomposition sits between those of Sacker-Sell and Oseledets. To review, the Selgrade decomposition is the finest decomposition of the tangent bundle into continuous subbundles which are exponentially separated: roughly, two subbundles are exponentially separated if over every point in the base space, the growth of vectors in one subbundle is exponentially larger than the growth of vectors in the other [4, 7, 15]. Equivalently, when viewed on projective space, exponentially separated subbundles correspond to attractor-repeller pairs, and so the Selgrade decomposition gives rise to the finest Morse decomposition for the associated flow on the projective bundle; see [15, 41] for more details.
Exponential dichotomy is a strictly stronger condition than exponential separation, and so the Selgrade decomposition is a finer decomposition than that of Sacker-Sell (cf. [38, 39, 41]). On the other side, the Selgrade decomposition can be thought of as a continuously-varying outer approximation to the Oseledets decomposition; this is especially useful due to the potential ‘irregularity’ of the Oseledets decomposition [15].
In a quite general infinite-dimensional setting, we are able to recover much of the finite-dimensional theory of Selgrade decompositions in this paper. Our results include (1) a characterization of exponentially separated subbundles as asymptotically compact attractor-repeller pairs for the semiflow on the projective bundle, and (2) an at-most countable decomposition into finite-dimensional exponentially separated subspaces.
Everyone who builds an infinite-dimensional version of a finite dimensional theory is being punished twice: first, because proofs are very hard, and second, because, on the surface, the final product looks not much different from the original. This paper is not an exception. The usual difficulties that we must overcome are noncompactness of the infinite dimensional unit sphere, noninvertibility of injective linear maps, existence of subspaces with no direct complements, and presence of essential spectrum for infinite dimensional operators.
In particular, our proof of (1) requires us to extend the theory of attractor-repeller pairs to the setting of semiflows on general metric spaces. Attractor theory in this setting is explored in [21] (see also [11]). However, we are not aware of any previous detailed studies of repellers or attractor-repeller pairs for semiflows relative to the whole (non-locally compact) domain. The closest approaches in the literature include studies of attractor-repeller pairs defined relative to compact invariant sets (see, e.g., [33]); the literature on attractors for nonautonomous dynamical systems (see, e.g., [8, 25] and the many references therein); and [9], where the authors define and briefly discuss a notion of repeller dual. These previous studies do not suffice for our purposes, and so in §2 we carefully develop a theory of repellers and attractor-repeller pairs for semiflows on general metric spaces when the attractor is asymptotically compact.
We also rely on and further develop the techniques of [4] relating exponential splitting of cocycles and Gelfand -numbers (a Banach space version of singular values; see [29] for a comprehensive review). This entails using some nontrivial facts regarding angles between infinite-dimensional subspaces used in [5] and -dimensional volume growth used in [3].
1.1. Statement of results
Assumptions
Let be a compact metric space with metric . Let be a real Banach space with norm ; we write for the trivial Banach bundle over . At times, we will abuse notation somewhat and regard the fiber over the point as a vector space. We write for the projection onto . We let be a continuous flow on . We write for the time- map of .
In all that follows, we assume that is a semiflow on of injective linear operators over ; that is, is a semiflow on for which
- (H1)
; and
- (H2)
for any , the map is a bounded, injective linear operator .
For , let us write for the bounded, injective operator as in (b) above. We will assume that the assignment satisfies the following continuity properties:
- (H3)
For each fixed , the map is continuous in the operator norm topology on , the space of bounded linear operators on .
- (H4)
The mapping is continuous in the strong operator topology on .
As can be easily checked, property (H4) implies that is a continuous mapping in the norm on . Here
We write for the projective bundle of , i.e., . Here, is the projective space of , defined by , where for iff for some . The metric on is now defined by
[TABLE]
where is the projective metric on (defined in (4)). The projectivized semiflow is well-defined and continuous in the projective metric . Note, however, that need not be uniformly continuous in the argument.
Main results
In the finite dimensional setting, it is well-known that attractor-repeller pairs for the projectivized flow are in one-to-one correspondence with exponentially separated subbundles for the linear flow (see, e.g., Chapter 5 of [15]). Our first main result is an extension of this characterization to the infinite dimensional setting. Below the repeller dual of an attractor for the projectivized semiflow is denoted by ; see §2.2 for a precise definition.
Theorem A**.**
Assume that is a separable Banach space and that is chain transitive for the base flow . Let be a linear semiflow satisfying (H1) – (H4) as above. Then, the following hold:
- (a)
Let be an asymptotically compact attractor for , and write and . Then, are continuous subbundles of for which is finite and . Moreover, this splitting is exponentially separated.
- (b)
Let be a splitting into exponentially separated subbundles of for which is finite and constant. Then is an asymptotically compact attractor for for which .
The definition of asymptotically compact attractor is given precisely in Definition 2.3 (see also Definition 2.7), although our usage here agrees with standard definitions in the literature (see [8, 17, 42]). Exponential separation is defined in §3.5. The proof of Theorem A is an adaptation to the infinite-dimensional setting of the finite-dimensional version presented in [40] and [15].
We note that it is entirely possible for a compact attractor of to fail to be asymptotically compact, as the following example shows.
Example 1.1**.**
We construct a bounded linear operator on as follows. Denote by the standard basis for . For each we now define the bounded linear operator by and for . Note that although is an attractor for , the subspace is not exponentially separated from its orthogonal complement.
We note, however, that in the above example the operator is not compact. Indeed, were any injective, compact linear operator and a compact attractor for , then it is a simple exercise to show that any compact attractor would be automatically asymptotically compact. In Example 1.1, any compact attractor for is a finite sum of generalized eigenspaces. The authors are not aware of an answer to the following question: If is a linear semiflow of injective compact linear operators as in (H1) – (H4), then is it possible for a compact attractor of to fail to be asymptotically compact as in Definition 2.7?
Our second main result is a generalization of the classical Selgrade decomposition for linear flows on a finite dimensional vector bundle: a (finite) finest Morse decomposition (equivalently, a finest attractor sequence) of the projectivized flow exists [41]. Here, we will obtain a (at-most countable) finest attractor sequence comprised of asymptotically compact attractors.
Theorem B**.**
Assume that is a separable Banach space, and that is chain transitive for the base flow . Let be a linear semiflow as in (H1) – (H4) above.
Then, there is an at-most countable sequence , of subsets of , with and for all , with the following properties:
- (a)
For any 111What is meant by this shorthand is that if , then , and if , then , we have that is an asymptotically compact attractor for .
- (b)
The sequence is the finest such collection in the following sense: if is any nonempty asymptotically compact attractor for , then for some .
The proof of Theorem B uses characterization of asymptotically compact attractors for in Theorem A in addition to the characterization of exponential separation given in [4], which we recall in Theorem 3.20, and a certain induction-type result (Proposition 3.21) for exponentially separated subbundles which may be of independent interest.
With as in Theorem B, write and for each so that is an exponentially separated splitting of . We also write and ; by Theorem B, each is a finite dimensional, equivariant, continuous222See Lemmas 3.8 and 4.9. We note however that continuity can be deduced directly from exponential separation, as carried out in, e.g., [4] subbundle of .
Definition 1.2**.**
We call the subbundles the discrete Selgrade decomposition333We use the terminology ‘discrete’ to evoke an analogy with the discrete spectrum of a closed linear operator. of .
We note that in Theorem B it is possible for to admit no asymptotically compact attractors. This stands in contrast to the finite dimensional case, where the Selgrade decomposition may be trivial in the sense that , hence is chain transitive under (c.f. Corollary 1.4 below).
Remark 1.3**.**
It is possible to formulate the preceding results for more general bundles than the trivial bundle. For simplicity, however, we do not pursue these extensions here, except to note that everything we do holds with virtually no changes when is replaced with a continuously-varying finite-codimensional subbundle of the trivial bundle . That is, each fiber over is a closed, finite-codimensional subspace of , and varies continuously in the Hausdorff distance (see §3.1 for definitions).
The following corollaries describe additional properties of the discrete Selgrade decomposition .
Corollary 1.4**.**
Assume the setting of Theorem B. For each , the set is a chain transitive set for the projectivized flow .
Corollary 1.4 follows from Theorem B and the classical Conley theory applied to the linear flow for . This falls entirely under the purview of the finite-dimensional theory, an so details are left to the reader (see, e.g., [15]).
Note, however that we do not make any claim on the structure of chain recurrent points in . Indeed, the components of the discrete Selgrade decomposition need not contain all chain recurrent points for .
Example 1.5**.**
In the notation of Example 1.1, for each define the bounded linear operator defined by setting and for . In the notation of Theorem B, we have , and for each . On the other hand, is an eigenvector with eigenvalue , hence is a chain recurrent point for as not contained in .
Note that the operators in Example 1.5 are noncompact (indeed, the eigenvalue sits on the boundary of the essential spectrum). Below we give an example of a family of injective, compact linear maps for which many chain recurrent points exist while admitting no forward invariant finite-dimensional subbundle.
Example 1.6**.**
Let and let be the identity map. For , define the operator on by T_{b}e_{n}=n^{-1}\big{(}be_{n}+(1-b)e_{n+1}\big{)} for all . As one can check, is continuous in the operator norm on and is injective for any . Moreover, points of the form are recurrent for the linear flow for any (indeed, each is a fixed point), yet admits no forward invariant finite-dimensional subspace for any .
On the other hand, cannot be realized as the time-one map of a semiflow. The authors are not aware of an answer to the following question: Is it possible to construct a linear semiflow of compact operators satisfying (H1) – (H4) for which in Theorem B while admitting chain recurrent points?
Our second corollary pertains to the discrete Morse spectrum associated with the discrete Selgrade decomposition given earlier. Given a (compact) chain transitive component for , we define the Morse spectrum by
[TABLE]
Chains are defined in §2.3. Here, when is a chain for , we have written
[TABLE]
where for each , is a unit vector representative of .
Definition 1.7**.**
The discrete Morse spectrum for is defined by
[TABLE]
We now state the following description of the discrete Morse spectrum . Below, the Lyapunov exponent of a point , is defined by .
Corollary 1.8**.**
For each , the Morse spectrum of is a compact interval of the form , where are attained Lyapunov exponents of , and for , we have
[TABLE]
Moreover, the Lyapunov spectrum is contained in .
Corollary 1.8 follows from the finite dimensional analogue applied to . Again this fits in the framework of the finite-dimensional theory (see, e.g., [15]), and so details are left to the reader.
So far we have not discussed the Morse spectrum associated to the ‘essential’ Selgrade subbundle . This subbundle can easily fail to be chain transitive, and so it is possible that need not be a connected interval. Moreover, it is possible for to overlap with , as the following example illustrates.
Example 1.9**.**
In the notation of Example 1.5, let equipped with the identity map and consider the linear semiflow over . Then in the notation of Theorem B we have , and . Moreover , while .
Plan for the paper
The plan for the paper is as follows. In §2 we recall elements of the theory of asymptotically compact attractors for semiflows on a general metric space. Much of this is review, although the material in §2.2 on repeller duals does not, to the knowledge of the authors, appear elsewhere in the literature. In §3 we recall necessary preliminaries from Banach space geometry.
The bulk of the original work in this paper is devoted to proving the ‘(a) (b)’ implication in Theorem A. This is proved as Proposition 4.1 in §4. We complete the proofs of Theorems A and B in §5.
2. Attractors for semiflows on general metric spaces
Setting for §2.
For the purposes of this section, we let be a complete metric space with metric . Throughout, for and we write for the open ball of radius centered at . For and a set , we write , where here denotes the minimal distance from to .
Through this section we study an injective, continuous semiflow on ; that is, is a continuous map for which (i) , (ii) for all , , and (iii) for all , the map is injective. We emphasize that the time- maps are not assumed to be invertible on all of .
2.1. Preattractors and attractors
Much of the material in §2.1 is standard (see [21]). However, due to its importance in the formulation of the results of this paper and the arguments to come, we review it in detail.
Following Hurley [21], we make the following definition.
Definition 2.1**.**
A nonempty open set is called a preattractor if for some , we have that
[TABLE]
We associate to preattractors a corresponding attractor , defined by
[TABLE]
We refer to the pair as an attractor pair. Note that
[TABLE]
We note that this differs from the classical definition of ‘attractor’; when, however, is a compact metric space, this definition coincides with the usual one. The definition of preattractor was introduced in [21] (see also [11]), where it was used to characterize chain recurrence for flows on noncompact spaces.
Lemma 2.2**.**
Let be an attractor pair, and let be such that . Then, .
Proof.
Let , and let be a sequence for which . Then, for sufficiently large we have , hence . ∎
Definition 2.3**.**
An attractor pair is asymptotically compact if the following holds: for any sequence of reals and any sequence , we have that possesses some convergent subsequence.
Note that an attractor may be empty, whereas an asymptotically compact attractor is always nonempty (Lemma 2.5 below). Even when is nonempty and compact, a preattractor for may contain points which have empty -limit sets, running contrary to the typical intuition that attractors genuinely ‘attract’ an open neighborhood of initial conditions. Asymptotic compactness precludes this possibility.
The concept of asymptotic compactness is prominent in the study of infinite-dimensional dissipative dynamical systems [17], where it is often used to check for the existence of a maximal global attractor (see, e.g., [8, 42]). However, the standard definition usually refers to a property of the semiflow itself: the semiflow is called asymptotically compact if Definition 2.3 holds with . As the following example shows, asymptotic compactness in this sense need not hold for a projectivized linear semiflow, even when the linear semiflow consists of compact operators.
Example 2.4**.**
Consider the semiflow on , where for , is the compact linear operator defined by
[TABLE]
Observe that is (trivially) a preattractor with corresponding attractor . The attractor pair is not asymptotically compact, since has no convergent subsequence in .
Let , and let be a small open neighborhood of . Then, as one can check, is an asymptotically compact attractor pair.
Asymptotically compact attractor pairs have many qualities similar to their counterparts in the locally compact setting.
Lemma 2.5**.**
Let be an asymptotically compact attractor pair. Then,
- (a)
we have that is nonempty and compact;
- (b)
for any , is nonempty and ; and
- (c)
for any we have .
Proof.
Item (b) is immediate. For (c) we use the fact that : for any we will show that . The inclusion “” is easiest: if are sequences for which for some , then by continuity, hence .
For the other direction, fix and let be such that . For sufficiently large we have , and so is defined for sufficiently large. Applying asymptotic compactness, let be a subsequential limit point of . Again by continuity, we have that , hence .
To show (a), recall that is nonempty by the definition of asymptotic compactness. It remains to prove that is sequentially compact. To see this, let be any infinite sequence, and let be arbitrary. Writing , using (c) to do so, it follows that possesses a subsequential limit in . ∎
We now prove the following useful characterization of asymptotic compactness for semiflows on metric spaces.
Lemma 2.6**.**
Let be an attractor pair. Then, the following are equivalent.
- (a)
* is asymptotically compact.*
- (b)
* is nonempty, compact, and for any there exists such that .*
Proof.
**(a) (b). ** That is nonempty and compact was established in Lemma 2.5. Assume now the following contradiction hypothesis: there exists some such that for any , we have that .
For each , fix sequences and converging to an element of . Then, there is an sufficiently large so that for all . Define now the diagonal subsequences and note that as . On the other hand, the limit points of (of which there is at least one, by asymptotic compactness) are at distance from , which contradicts the definition . Thus (b) holds.
**(b) (a). ** Let and . Using (b), it follows that for any there exists such that for any , we have that for all . Define the subsequence , and for each let be such that . Then, by compactness the sequence has a convergent subsequence, which by construction is a cluster point of , hence of . This completes the proof. ∎
Lemma 2.6 has the following consequence: given an asymptotically compact attractor pair , there exists sufficiently small so that is a preattractor for for which is asymptotically compact (cf. Example 2.4). Thus we obtain the following ‘intrinsic’ formulation of the asymptotic compactness property.
Definition 2.7**.**
A compact, forward invariant subset is an asymptotically compact attractor if for some (hence all sufficiently small) we have that is an asymptotically compact attractor pair.
2.2. Repellers and attractor-repeller duals
Here we discuss repellers and repeller-duals in our noncompact, noninvertible setting. To the best of the authors’ knowledge, the material in §2.2 does not appear elsewhere in the literature. For the closest alternative approach, we refer to the book of Rybakowski [33], where the attract-repeller theory is recovered for semiflows restricted to compact invariant sets. In comparison, we present here an attractor-repeller theory that does not restrict to compact invariant sets, and instead is carried out on the entire space .
Definition 2.8**.**
A prerepeller is a nonempty open set with the property that for some , we have that . The repeller associated to a prerepeller is defined to be
[TABLE]
Above, refers to the preimage of . We call a repeller pair. Note that may be empty.
We give an alternative limit set characterization of as follows. Let us abuse notation and write for the preimage ; by injectivity, is defined when it exists. Then,
[TABLE]
Lemma 2.9**.**
Let be a repeller pair. Then, is a closed, possibly empty, set for which for all .
Proof.
We compute
[TABLE]
having used the continuity of the time- map to deduce that for any subset . ∎
Note that the inclusion in Lemma 2.9 may be strict (contrast with Lemma 2.5).
We now turn our attention to the duality between attractors and repellers in our setting, assuming asymptotic compactness of the attractor.
Definition 2.10**.**
Let . We define the dual of to be
[TABLE]
Lemma 2.11**.**
Let be an asymptotically compact attractor pair. Then, is the repeller corresponding to the prerepeller defined by
[TABLE]
where is as in the definition of preattractor for (i.e., ). In particular, is closed. Moreover we have .
In light of Lemma 2.11, we are justified in referring to as the repeller dual of .
Proof.
Note that is open and . We claim that is a prerepeller with repeller .
We first show that is a prerepeller; it suffices to show that , where is as above. For this, let be a sequence converging to a point ; for each let be such that .
If , then , and so for sufficiently large. But then , contradicting the assumption that for all . Thus all such limit points belong to , and we conclude that is a prerepeller.
Let be the repeller corresponding to ; we now show that . To show , let and assume for the sake of contradiction that . Then there is a sequence of times for which for some . In particular, for sufficiently large, and so on taking sufficiently larger. We conclude that for such . On the other hand, by Lemma 2.9, for all , and so we have a contradiction. Thus .
To show , let . Observe, then, that for any by asymptotic compactness– otherwise, would be nonempty by asymptotic compactness. It follows that for all , i.e., for all . Thus by construction; this completes the proof of .
The fact that follows from the fact that as above and that . ∎
Properties of the repeller dual
Although may be empty, the exterior of a neighborhood of always ‘attracts’ trajectories in backwards time in the sense of preimages.
Lemma 2.12**.**
Let be an asymptotically compact attractor pair, and let be sufficiently small. Define . Then, is a prerepeller, and is a repeller pair.
Proof.
Fix sufficiently small so that . To show that is a prerepeller, assume not for the sake of contradiction: that is, for any , . It follows that for all , and so there exists a sequence and points for which for all . This contradicts the asymptotic compactness of .
We now check that the repeller
[TABLE]
does, indeed, coincide with . To check , assume that there exists an element . Let , where and . Since , it follows that for some . Fixing such a , we have for all sufficiently large that by continuity, hence holds for all such . This is in contradiction to the fact that is a prerepeller on taking is large enough so that , where is as in the definition of prerepeller (Definition 2.8). We conclude that .
For the other inclusion, let and note that for all sufficiently large (since otherwise by asymptotic compactness). Thus for all large , and so follows. ∎
Although we do not assume invertibility of the time- maps, we do occasionally need to refer to negative trajectories when they do exist.
Definition 2.13**.**
Let ; we say that admits a negative continuation if exists for all .
By injectivity of the time- maps, a negative continuation is unique if it exists.
When has a negative continuation, we write for the backwards limit set of . The following is a consequence of Lemma 2.12.
Lemma 2.14**.**
Let , and assume that has a negative continuation. Then, .
Proof.
Note that may be empty. If it is not, then apply Lemma 2.12 to and observe that , where is as in Definition 2.8 for . Consequently any limit point of belongs to , which coincides with by Lemma 2.12. ∎
2.3. Chains, chain recurrence and attactors
We complete this section with a brief review of chains and chain recurrence.
Let . For we say that there is an -chain from to if there is a sequence and times such that, on setting , we have that for all . For a subset , we define
[TABLE]
and
[TABLE]
Lemma 2.15**.**
Let be a subset for which , where is an asymptotically compact attractor pair. Then .
Proof.
We will show the following: for any and for sufficiently large (in terms of ), . To see this, fix and let be sufficiently large so that for all (Lemma 2.6). Let now be arbitrary– it now follows that any finite chain initiated at will terminate in a point . In particular, for any . This completes the proof. ∎
Remark 2.16**.**
In [19, 20, 21, 11], a more general definition of chain is used. This broadened definition was designed for use in the non-locally-compact setting, and gives rise to equivalent notions of chain recurrence and chain transitivity in the compact setting. We use the ‘classical’ definition here because we only ever consider the chain transitivity of compact subsets.
3. Banach space preliminaries
Here we recall some technical preliminaries on Banach space geometry, in particular the ‘local’ Banach space geometry of finite dimensional and finite codimensional subspaces.
Notation. Throughout this section, is a Banach space with norm . The Grassmanian is defined to be the set of nontrivial closed subspaces of . When and is a splitting, we write for the projection onto parallel to (i.e., ). We say that are complements in .
Note that is always a bounded linear operator when are closed and (by the Closed Graph Theorem).
3.1. Grassmanian of closed subspaces
The Grassmanian is endowed with a metric, the Hausdorff distance , which for is defined by
[TABLE]
here we have written and analogously for .
For , write for the subset of -dimensional subspaces, and for the subset of closed -codimensional subspaces.
Lemma 3.1** ([24]).**
The metric is a complete metric for . The subsets and are closed in for any .
For computations it is simpler to work with the gap between subspaces, defined by
[TABLE]
then,
[TABLE]
For proof, see [24].
The following Lemma makes computations involving simpler when one works with finite dimensional or codimensional subspaces.
Lemma 3.2** (Lemma 2.6 in [3]).**
Let .
- (a)
Let . Then
[TABLE]
whenever the denominator of the right-hand side is positive.
- (b)
Let . Then
[TABLE]
whenever the denominator of the right-hand side is positive.
3.1.1. Complementation in ; angles between subspaces
Not every closed subspace of a Banach space possesses a closed complement. However, for finite dimensional and closed finite codimenisonal subspaces, we have the following.
Lemma 3.3** (III.B.10 and III.B.11 in [47]).**
Let .
- •
For any , there exists a subspace complementing for which .
- •
For any , there exists complementing for which .
Lemma 3.3 can be used to produce ‘good’ bases of finite-dimensional spaces: for any , there is a constant such that for any -dimensional subspace , there is a basis of unit vectors for which
[TABLE]
satisfies .
It is sometimes useful to consider an analogue of the notion of angle between subspaces of a Banach space. The following is a standard construction.
Definition 3.4**.**
Let . The minimal angle between is defined by
[TABLE]
A quick computation (see, e.g., [3]) shows that when are complements, we have that
[TABLE]
Complementation is an open condition.
Lemma 3.5**.**
Let be complements. Then, are complements for any with . Additionally, we have the estimates
[TABLE]
and
[TABLE]
For a proof, see the Appendix of [5].
Lemma 3.6**.**
Let be complements. Then, there are open neighborhoods of , respectively, such that (i) for any , we have that are complements, and (ii) the map is continuous on in the operator norm.
Proof.
With fixed, set . For any , note that
[TABLE]
and so together with satisfy item (i) by Lemma 3.5.
To prove continuity, let . Then
[TABLE]
The norm of the second parenthetical term can be estimated as
[TABLE]
By Lemma 3.5, and are bounded independently of , and so is bounded . Similar arguments yield the bound . This completes the proof of (ii). ∎
3.2. Continuous subbundles of a Banach bundle
In this subsection, we let be a compact metric space and consider the Banach bundle over . We sometimes abuse notation and regard as a vector space for .
Definition 3.7**.**
Let . We say that is a continuous subbundle if the following holds: (i) for any , is a closed subspace, and (ii) the assignment is continuous as a map .
We now give criteria for checking when closed subsets of are continuous subbundles.
Lemma 3.8**.**
Let be a closed subset for which is a finite dimensional subspace of finite dimension independent of . Assume that the unit sphere of is compact. Then, is a continuous subbundle of .
Proof of Lemma 3.8.
Let be a convergent sequence in . We will show that in the Hausdorff distance . It suffices to find a subsequence for which .
Let us fix some notation. For each , let denote a basis of of unit vectors for which , where depends only on (Lemma 3.3).
Using the compactness of , we can pass to a subsequence along which converges to a unit vector for each . This implies in the operator norm (use, e.g., Lemma 3.6). Since for all , we conclude that the cluster point is a linearly independent set, hence a basis for . It is now simple to check that . ∎
We note that closed subsets of with finite-dimensional fibers need not be compact, nor continuous subbundles:
Example 3.9**.**
Let with the usual metric, and let with standard basis . Define and . Then is closed (albeit noncompact), has one-dimensional fibers, and yet is not a continuous subbundle.
3.3. Projectivization
Let denote the projective space of . Specifically, we define the equivalence relation on by setting iff for some ; we write for the representative of . For , we define the projective metric
[TABLE]
where for we write for the equivalence class of .
The following estimate is frequently useful.
Lemma 3.10**.**
Let be a complemented subspace with complement , and let be a unit vector. Write . Then
[TABLE]
Here, .
Proof.
For the first inequality, fix and let be a unit vector for which . Then
[TABLE]
and so the desired inequality obtains on taking .
For the second inequality, let , and note that
[TABLE]
∎
3.4. Induced volumes, determinants and Gelfand numbers
Definition 3.11**.**
Let be a finite-dimensional subspace. We write for the induced volume on , which is defined to be the Haar measure on normalized so that
[TABLE]
Here, denotes the volume of the -dimensional Euclidean unit ball in .
Determinants on finite dimensional subspaces can now be defined as volume ratios: given a linear operator and a finite dimensional subspace , we define
[TABLE]
Here is any Borel set with positive measure; that does not depend on the particular choice of follows from the uniqueness of Haar measure up to scaling.
Lemma 3.12**.**
Let be finite-dimensional subspaces, , and let be a bounded linear operator such that is injective. Write . Then,
[TABLE]
where is a constant depending only on .
Definition 3.13**.**
Let . For a linear operator , the maximal -dimensional volume growth is defined by
[TABLE]
For bounded linear operators of a Hilbert space, the quantity is given by the product , where denotes the -th singular value of (that is, the -th eigenvalue, counted in descending order, of the positive semi-definite self-adjoint operator ).
For operators of a Banach space, there is no ‘canonical’ definition of singular value. Instead one often works with one of a variety of surrogate notions, called -numbers in the literature– see, e.g., [29]. The following -number is useful for our purposes.
Definition 3.14**.**
Let be a bounded linear operator of Banach spaces . For , the -th Gelfand number is defined to be
[TABLE]
For bounded linear operators on Hilbert spaces, the Gelfand numbers coincide with singular values, hence . In the Banach space setting, we can recover the following weaker relation.
Lemma 3.15**.**
For each there is a constant , depending only on , with the following property. For any bounded linear , we have that
[TABLE]
3.5. Exponential separations for Banach space cocycles
Here we recall the definition of exponential separation and several related results we will need later on. Throughout 3.5, is a linear semiflow on satisfying (H1) – (H4) as in §1. We note that Lemma 3.18 and Proposition 3.21 are used heavily in §5.
Definition 3.16**.**
Let be a Whitney splitting of into continuously varying, forward invariant subbundles for which . We say that are exponentially separated if there exist constants with the following property: for any , we have that
[TABLE]
Here, for a linear operator on and a subspace we write for the minimum norm of .
Note that by injectivity and finite-dimensionality of , it holds automatically that is an isomorphism for any . In particular, all points of possess negative continuation and is backwards invariant.
Definition 3.17**.**
We say that has an exponential splitting of index if there is an exponential splitting for for which .
Lemma 3.18**.**
Let . If has an exponential splitting of index and are two exponential splittings for for which , then and .
Proof.
Let be two exponential splittings for for which . Let be such that
[TABLE]
for all .
We first show the following.
Claim 3.19**.**
For any , we have that , hence .
The Claim implies
[TABLE]
To deduce (6) from Claim 3.19, observe that is continuous in the operator norm (Lemma 3.6), and so .
Proof of Claim.
For the sake of contradiction, assume that for some . Without loss we may assume , since otherwise . It follows that there is some unit vector for which . Write .
Let now be a unit vector. Since , we have . Using , we now estimate
[TABLE]
Rearranging, one obtains that the ratio is bounded by a constant independent of time– this contradicts the exponential separation of , hence a contradiction. ∎
Let us now return to the proof of Lemma 3.18.
**Proving . ** Let and be a unit vector, decomposed as according to the splitting . We will show , hence for all ; equality follows on recalling that by assumption.
For each , let be such that , and write according to the splitting . Note that by equicontinuity of , we have that .
To begin, observe that
[TABLE]
where . We now estimate :
[TABLE]
From (6), we have that for all . In particular, . Applying to , we obtain that . In conjunction with the estimate , we conclude that
[TABLE]
Applying (5) and taking , we conclude that , as desired.
**Proving . ** As before, it suffices to check . For the sake of contradiction, let be such that according to the splitting and assume . Writing , observe that
[TABLE]
The right-hand ratio goes to zero by (5) since , and so we obtain that . By compactness, the infimum is attained– this contradicts Claim 3.19, however, and so we conclude . Thus we have shown , as desired. ∎
The following is a characterization of exponential separation in terms of exponential growth rates of Gelfand numbers– it generalizes a similar criterion developed by Bochi and Gourmelon for finite-dimensional linear cocycles [6].
Theorem 3.20** ([4]).**
The following are equivalent.
- •
* has an exponential splitting of index for some .*
- •
The inequality
[TABLE]
holds for all , where are constants.
Moreover, the exponential splitting of index satisfies
[TABLE]
and
[TABLE]
for all , where is a constant.
Lastly, we record the following consequence of Theorem 3.20, which will be used in §5 as part of an inductive procedure.
Proposition 3.21**.**
*Let be any exponentially separated splitting, and let . Then has an exponential splitting of index if and only if has an exponential splitting of index . *
Proof.
By Theorem 3.20, it suffices to establish the following. Let be an exponential splitting and let . Then, for every there is a constant such that for any , we have
[TABLE]
To start, observe that
[TABLE]
for every . Thus it suffices to prove the upper bound on .
Let be a -dimensional subspace for which . Using Lemma 3.12, we estimate
[TABLE]
where is a generic constant independent of . In the last line we have used (7) and that .
We now apply Lemma 3.15 to the left and right hand sides, obtaining
[TABLE]
on applying the lower bound on for . On canceling out we conclude the desired upper bound on .
∎
4. Asymptotically compact attractors and splittings
Our goal in §4 is to prove the following ‘main’ proposition.
Proposition 4.1**.**
Let be a chain-transitive flow on a compact metric space , a separable Banach space, and a linear semiflow on satisfying (H1) – (H4) in §1. Let be an asymptotically compact attractor for . Then, are continuous, complementary subbundles of of finite dimension and codimension, respectively.
We assume without further mention all the hypotheses of Proposition 4.1 for the remainder of §4. The following is an outline of the proof.
- (1)
In §4.1, we show that when is an asymptotically compact attractor for , we have that is a continuous finite-dimensional subbundle of (Lemma 4.3). 2. (2)
In §4.2, we show that the dual repeller is of the form , where is a closed subset which meets each fiber in a subspace complementary to . At this point, we have not yet shown that is a continuous subbundle. 3. (3)
In §4.3, we deduce that are exponentially separated with uniform estimates across all of . 4. (4)
In §4.4, we deduce the continuity of from the exponential separation of .
4.1. Attractors for linear semiflows
We first study attractors for the projectivized semiflow on . The proofs in this section follow of [40] and Chapter 5 of [15].
Let be an asymptotically compact attractor pair. Note that any for which has a negative continuation by Lemma 2.5.
Lemma 4.2**.**
Let be an asymptotically compact attractor pair for . Write for .
- (a)
For each , we have that is a finite-dimensional linear subspace.
- (b)
For any , for which has a negative continuation, we have that
[TABLE]
Proof.
Without loss, let be unit vectors, and assume that has negative continuation. Throughout we let denote the two-dimensional subspace of vectors spanned by . It follows by linearity that any vector in possesses a negative continuation.
Let us assume in addition that is a boundary point of relative to : our first step is to prove (9) in this special case. For this, we take on the following contradiction hypothesis:
[TABLE]
Equivalently, there is a constant and a subsequence such that for any ,
[TABLE]
Let be arbitrary. We estimate:
[TABLE]
Applying the contradiction hypothesis, we obtain
[TABLE]
for all . Noting that for all , it follows that for all when is chosen sufficiently small. Fixing such a and letting , note that , hence by asymptotic compactness it follows that all limit points of (of which there is at least one) belong to . But for all , and so we deduce that for all sufficiently small. This contradicts the assumption that is a boundary point of in . Thus (9) holds for all such in the case when is a boundary point of relative to .
In the next step, we show that for any two-dimensional subspace , we have that consists of a single point, if it contains a boundary point as above. Note first that either is the only point in with negative continuation, or that every point of has a negative continuation. In the former case there is nothing to prove, as every point of possesses a negative continuation by Lemma 2.5, part (c). Assuming the latter, let and note that any element of is of the form for some . It follows from (9) and a computation similar to that in (10) that
[TABLE]
for any .
Assume for the sake of contradiction that for some . Then, (11) implies that for all sufficiently large, hence (using asymptotic compactness and arguing as above) . This is a contradiction, so that for any . We conclude that , as desired.
To complete the proof of part (a), note that we have shown that is either empty, consists of a single point, or is nonempty and has an empty boundary in . In this last case, we obtain automatically that by the connectedness of . We conclude that is a linear subspace for all , and since is compact, must be finite dimensional as well.
Finally, to check item (b), form the plane spanned by and note that by part (a), hence is a boundary point of and so (9) follows from the first part of the above proof. ∎
Lemma 4.3**.**
Assume that is chain transitive. Then, is a continuous subbundle of of constant finite dimension.
Proof.
We first show that if is chain transitive, then has constant dimension independent of . It then follows from Lemma 3.8 that is a continuous subbundle.
We will show that for any , we have . To start, observe that (Lemma 2.15), and so ; thus it suffices to prove that contains a subspace of dimension .
For this, let , and assume is sufficiently large so that as in Lemma 2.6. Let , be an -chain from to with times , i.e., for all .
Let now be a basis of , . For each , the chain lifts to an -chain taking to by setting , and for .
By our choice of , it follows that . Moreover, by the injectivity of it follows that is linearly independent.
Collecting, we have shown that for any and sufficiently large, \mathbb{P}^{-1}\big{(}\Omega(\mathcal{A}_{b};\epsilon,T)\big{)}\cap\mathcal{V}_{b^{\prime}} contains a -dimensional subspace , and that by construction, .
To complete the proof, fix a sequence for which . For each let denote the -dimensional subspace constructed above, and let be a basis of unit vectors for which , where depends only on (Lemma 3.3). For each and there is a unit vector for which ; thus, when is sufficiently large, it holds that are linearly independent– this follows from the estimates in the proof of Lemma 3.6 (a) and the uniform estimate on . Thus we have obtained , as desired. ∎
4.2. Dual repeller subspaces
We now turn to the repeller for .
Lemma 4.4**.**
Let be the attractor of an asymptotically compact preattractor , and let be its dual repeller. Write .
- (a)
For any , is a linear subspace of .
- (b)
For any , we have
[TABLE]
Proof.
This proof follows that of Lemma 4.2; indeed, it is somewhat simpler, since we need not concern ourselves with the existence of negative continuations.
To begin, let , and form the two-dimensional subspace spanned by . Assuming is a boundary point of relative to , we will show that (12) holds.
If it does not, then as before there is a sequence of positive reals and a constant such that
[TABLE]
for all . Following the time-reversed analogue of the computation in (10), we conclude that
[TABLE]
for arbitrary . From here on, fix so that ; we assume in what follows that , so that for all .
Recalling that is a boundary point, there is some such that . Fixing such a , by definition and so there is a sequence for which converges to a point of ; by the definition of preattractor we conclude that there exists such that for any , . By asymptotic compactness it follows that a subsequence converges to a point in .
In particular, , hence by (14) we have for sufficiently large. But now, possesses a subsequence converging to a point of by asymptotic compactness, which contradicts the assumption that . Thus (12) holds in the case when is a boundary point of .
Next, we show that if contains a boundary point as above, then consists of a single point. For this, fix such a boundary point and let . Applying (12) to this choice of , we deduce that
[TABLE]
for all , following the computation (10) in Lemma 4.2. Since , we conclude that for any ; in particular , as desired.
To complete the proof of (a), note that for any two-dimensional subspace that is either empty, a single point, or all of – this implies that is a subspace for any , which is a closed subspace by the fact that is closed. Part (b) follows for any with by considering the two-dimensional subspace spanned by . ∎
We now deduce that the dual repeller to is a complementary subbundle of codimension equal to the dimension of . Here we significantly deviate from the finite-dimensional proof, as we must carefully argue around the fact that is not locally compact.
Lemma 4.5**.**
We have that , where for each we have that is a complement to for which , where is independent of .
Proof.
Fix : we will show that is a closed, finite codimensional complement to . To start, using Lemma 3.3 fix for each a complement to for which . Then, by Lemma 3.10, there is some , depending only on , for which for all . Fix such an .
One now checks that for all , the preimage is a subspace complementary to . This is straightforward: the bounded projection operator has image and kernel (for more details, see Lemma 2.4 in [3]).
Since for all , it follows from Lemma 2.12 that for all . In particular, for all and we have that is bounded from above by a constant by Lemma 3.10 and (3).
Fixing a complement to in , define
[TABLE]
so that for all .
Observe that for all . We now appeal to the following Lemma.
Lemma 4.6**.**
Let be a separable Banach space. Let , and let be an infinite collection of bounded linear maps for which for all , where is a constant. Then, there is a subsequence along which converges in the strong operator topology on to some – that is, for any fixed , we have that .
Proof.
By the Banach-Alaoglu Theorem, the unit ball of is compact in the weak∗ topology. Since is metrizable when is separable, it follows that for any sequence of unit vectors there is a weak∗ convergent subsequence . One then applies this argument to each of the coordinate functionals comprising , obtaining a subsequence which converges in the strong operator topology. ∎
Regarding as a sequence of linear operators , we have satisfied the setup of Lemma 4.6. Thus there is a sequence and a bounded linear operator such that for all .
We claim that . To show ‘’, fix and write , so that where . Since , by construction for all , and so . Thus , and so
[TABLE]
hence by Lemma 2.12.
For the opposite inclusion, let and observe that complements in , hence for some . Since , we have . Thus as by Lemma 4.4, which implies that by asymptotic compactness. Thus . As was arbitrary, we conclude that .
∎
4.3. Deducing exponential separation
We now show that are exponentially separated with uniform constants.
To begin, we show the following.
Lemma 4.7**.**
There exists such that for any and any unit vectors , , we have that
[TABLE]
Proof.
Let be any two unit vectors. Using compactness of , let be such that . Assume without loss that . In particular, note by Lemma 2.6 that there exists such that for this choice of . Here we take , which by Lemma 4.5 is finite. This will be the value of as in the statement of Lemma 4.7.
Form , where is chosen so that . For this it suffices, by Lemma 3.10, to take so that
[TABLE]
Now, set . By construction, is such that , hence
[TABLE]
by Lemma 3.10. Rearranging and applying the triangle inequality (i.e., ), we obtain
[TABLE]
by our stipulation that . ∎
Lemma 4.8**.**
There are constants such that for any ,
[TABLE]
Proof.
From Lemma 4.7, observe that
[TABLE]
for any unit vectors , , where is as in Lemma 4.7. Thus
[TABLE]
for all .
By an argument using the Steinhaus Uniform Boundedness Principle, it follows that
[TABLE]
By the continuity of and finite dimenisonality, we have as well that
[TABLE]
Now, if for some , we estimate . Noting that , it follows that
[TABLE]
Thus, (15) holds with
[TABLE]
∎
4.4. Continuity of the repeller subspaces
At last, we deduce the continuity of in the Hausdorff distance .
Lemma 4.9**.**
The assignment is continuous in the Hausdorff distance .
Proof.
Write for . For sufficiently close, we will obtain a bound on .
Let be a unit vector. Then
[TABLE]
Here, by Lemma 4.5. Given , fix for which ; with this value of fixed, let be such that if , then (the value of which may, a priori, depend on ). Plugging all this in,
[TABLE]
Since was arbitrary, we conclude that
[TABLE]
whenever .
Assuming, as we may, that , where , it follows from Lemma 3.2 that . By (2), we conclude that . This completes the proof. ∎
5. Completing the proofs of Theorems A and B
Throughout we are in the setting of Theorems A, B.
5.1. Completing the proof of Theorem A
In §4, we showed that an attractor-repeller pair gives rise to an exponential splitting , where . Below we prove the converse implication.
Proposition 5.1**.**
Let be an exponential splitting. Then is an asymptotically compact attractor for the projectivized flow .
Proof.
Let . By Lemma 2.6, it suffices to show that is a preattractor for all sufficiently small. This we obtain by showing the following: for any sufficiently small, there exists such that for any , , we have that
[TABLE]
for all . Here is a unit vector representative for .
Let , which we will adjust smaller a finite number of times in the following proof. Let us write and according to the splittings and , respectively. Using Lemma 3.10, we estimate
[TABLE]
where is an increasing function . Now, exponential separation implies that
[TABLE]
Finally, we observe that , hence , and that by Lemma 3.10. Collecting, we have that
[TABLE]
Taking , where , yields . Letting be sufficiently large so that ,
[TABLE]
which is when is chosen still larger so that .
∎
5.2. Proof of Theorem B
The plan for the proof of Theorem B is as follows.
- (1)
In §5.2.1, we present an algorithm for constructing the attractor sequence as in the statement of Theorem B. 2. (2)
In §5.2.2, we check that the algorithm from §5.2.1 produces an attractor sequence with the property (b) in Theorem B, namely, that is the ‘finest’ attractor sequence.
5.2.1. An algorithm for producing the ‘finest’ attractor sequence
We begin by defining
[TABLE]
where by convention we set if the is taken over an empty set (i.e. no exponential separation exists). If then we set and terminate the procedure; otherwise we let be the (unique; see Lemma 3.18) exponential separation of index for . We now define , which by Theorem A is an asymptotically compact attractor.
We now proceed by setting
[TABLE]
If then we set and terminate the procedure; otherwise we let denote the (unique) exponential separation for of index . We now define . It is quite clear that is exponentially separated from , and so it follows from Theorem A that is an asymptotically compact attractor.
We now describe the inductive step: assuming the procedure has not been terminated by step , let and and be as above. We set
[TABLE]
If we set and terminate; otherwise we let denote the exponential separation for of index . We set , which as before is an asymptotically compact attractor.
If at each stage we have , then the algorithm proceeds indefinitely and we set . This completes the description of the algorithm.
5.2.2. Checking the algorithm works
The following is a reformulation of part (b) of Theorem B.
Lemma 5.2**.**
Let be as in §5.2.1. If is any nonempty asymptotically compact attractor, then for some .
Proof.
Let us define
[TABLE]
where as usual the of an empty set is . In this construction we set to be the first stage for which , and set if this never occurs.
To prove Lemma 5.2, it suffices by Lemma 3.18 to show that and for all . If , then clearly holds and there is nothing to check. Otherwise, by definition and .
Continuing, note that if then ; by Proposition 3.21 we conclude and thus . Otherwise, and by Proposition 3.21.
The induction hypothesis is that and for all . If , then and as before. Otherwise and . This completes the proof. ∎
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