Abstract.

Let X be an infinite dimensional separable Banach space, T:XX be a hypercyclic operator, and xX be a (frequently) hypercyclic vector of T. We show that if the terms from the T-orbit of x converge to a vector y sufficiently fast, then y is also a hypercyclic vector of T. As a corollary, we deduce that if T is a frequently hypercyclic operator with spectral radius r(T)=1, then limnTnx1/n=1 for every frequently hypercyclic vector x of T. Some related observations are also made.

keywords:
Banach space; hypercyclic operator; orbital speed; frequent hypercyclicity.
MSC:
47A16.

1. Introduction

Consider an infinite dimensional separable Banach space X (over or ) and a bounded linear operator T:XX. We will be addressing the following problem: if x is a (frequently) hypercyclic vector of T and if the terms from the T-orbit of x converge to a vector yX very fast, can we conclude that y is a hypercyclic vector of T?

Let HC(T), FHC(T), and UFHC(T) denote respectively the collections of hypercyclic vectors, frequently hypercyclic vectors, and upper frequently hypercyclic vectors of T (precise definitions are given below). Let r(T) denote the spectral radius of T. A subset Y of X is said to be residual in X if Y contains a dense Gδ subset of X (equivalently if XY is of first category in X). The norm on X will be denoted as . Our aim in this note is to prove the following Theorem.

Theorem 1.1.

Let X be an infinite dimensional separable Banach space and T:XX be a bounded linear operator.

(1) Assume T is frequently hypercyclic, and let xFHC(T). Then the set
Y1:={yX:lim infnTnxy1/n=0} is a dense Gδ subset of X, and Y1UFHC(T)HC(T).

(2) Assume T is frequently hypercyclic, r(T)=1, and let xFHC(T). Then
Y2:={yX:lim infnTnxy1/n<1} is a residual subset of X, and Y2UFHC(T)HC(T).

(3) Assume T is hypercyclic, and let xHC(T). Then there is a strictly increasing function α: such that Y3:={yX:lim infnTnxy1/α(n2)<1/r(T)} is a residual subset of X, and Y3HC(T).

We remark here that by Theorem 6.45 of [3], there are frequently hypercyclic operators T on infinite dimensional separable Hilbert spaces with r(T)=1. Indeed, the frequently hypercyclic operator T given by Theorem 6.45 of [3] has the property that sup{Tn:nM}< for some infinite set M, and this implies r(T)=1 (we have r(T)1 by the spectral radius formula, and r(T)1 by hypercyclicity - see Theorem B.3 and Proposition 5.3 in [5]). The reader may refer to the books [3, 5] to get an overview of various features of hypercyclicity. The notion of a frequently hypercyclic operator was introduced by Bayart and Grivaux [2], and this notion relates the theory of Linear Dynamics to Ergodic Theory and Combinatorial Number Theory. Different types of quantitative studies pertaining to hypercyclicity and frequent hypercyclicity have been carried out by researchers in the recent past; see [4, 6], Chapter V of the book [8], the article [9] and the references therein. For some quantitative studies in Topological Dynamics somewhat related to Theorem 1.1, see [7].

To facilitate our investigations, a few definitions are needed, which we write down now. For a subset A, its lower density Ld(A) and upper density Ud(A) are defined as follows:

Ld(A)=lim infn|{1,2,,n}A|n, (1)
Ud(A)=lim supn|{1,2,,n}A|n. (2)

Just for the notational convenience of writing the technical parts of our proofs, it is useful to introduce a generalization of the notion of Ld(A) and Ud(A). For a strictly increasing function α:, we define the lower density Ld(α,A) and upper density Ud(α,A) of A with respect to α as follows:

Ld(α,A)=lim infn|{1,2,,α(n)}A|n, (3)
Ud(α,A)=lim supn|{1,2,,α(n)}A|n. (4)

When α is the identity map I of , the quantities Ld(α,A) and Ud(α,A) reduce respectively to Ld(A) and Ud(A). Observe that while Ld(A) and Ud(A) are bounded above by 1, there is no upper bound to Ld(α,A) and Ud(α,A): if α(n)=n2 for every n, then Ld(α,)=Ud(α,)=.

We say (X,T) is a linear dynamical system if X is an infinite dimensional separable Banach space and T:XX is a bounded linear operator. Let (X,T) be a linear dynamical system. The T-orbit of a vector xX is the set {Tnx:n=0,1,2,}. For xX and UX, let

NT(x,U)={n:TnxU}. (5)

A vector xX is said to be a hypercyclic vector of T if NT(x,U) for every nonempty open set UX. Let HC(T) denote the collection of hypercyclic vectors of T. If HC(T), then T is called a hypercyclic operator. When α: is a strictly increasing function, we say a vector xX is an α-frequently hypercyclic vector of T if Ld(α,NT(x,U))>0 for every nonempty open set UX, and an upper α-frequently hypercyclic vector of T if Ud(α,NT(x,U))>0 for every nonempty open set UX. Let FHC(α,T) and UFHC(α,T) denote respectively the collections of α-frequently hypercyclic vectors of T and upper α-frequently hypercyclic vectors of T.

The main use of the set UFHC(α,T) in our proofs will be the fact that the obvious inclusion UFHC(α,T)HC(T) holds.

Let FHC(T)=FHC(I,T) and UFHC(T)=UFHC(I,T) (where I is the identity map of ), which are respectively the collections of frequently hypercyclic vectors of T and upper frequently hypercyclic vectors of T. If FHC(T), then T is called a frequently hypercyclic operator. Clearly, FHC(T)UFHC(T)HC(T), and thus every frequently hypercyclic operator is hypercyclic.

To analyze the speed of convergence of terms from the T-orbit of a (frequently) hypercyclic vector x, we will use certain functions s:×[0,)[0,), where the requirement on s will be that s(n,):[0,)[0,) is an increasing homeomorphism for every n. Observe that this condition implies s(n,0)=0 for each n. A typical example of such a function is s:×[0,)[0,) given by s(n,t)=t1/n.

2. Proof of the main Theorem

For a nonempty set AX and zX, let dist(z,A)=inf{za:aA}.

Lemma 2.1.

Let X be an infinite dimensional separable Banach space, and s:×[0,)[0,) be a function such that s(n,):[0,)[0,) is an increasing homeomorphism for every n. For each n, let AnX be a nonempty set and Tn:XX be a bounded linear operator. Then we have the following:

(1) The set Y0:={yX:lim infns(n,dist(y,Tn(An)))=0} is a dense Gδ subset of X if n=kTn(An) is dense in X for each k.

(2) The set X0:={xX:lim infns(n,dist(Tnx,An))=0} is a dense Gδ subset of X if n=kTn1(An) is dense in X for each k.

Proof 2.2.

(1) Note that Y0=k=1n=kVk,n, where Vk,n:={yX:s(n,dist(y,Tn(An)))<1/k}. Since the distance function and s(n,) are continuous, each Vk,n is open in X. Moreover, Tn(An)Vk,n because s(n,0)=0, and therefore by the denseness of n=kTn(An) from the hypothesis, we get that n=kVk,n is dense in X for each k. We conclude by Baire category theorem that Y0 is a dense Gδ subset of X.

(2) Note that X0=k=1n=kUk,n, where Uk,n:={xX:s(n,dist(Tnx,An))<1/k}. Since Tn, the distance function, and s(n,) are continuous, each Uk,n is open in X. Moreover, Tn1(An)Uk,n because s(n,0)=0, and therefore by the denseness of n=kTn1(An) from the hypothesis, we get that n=kUk,n is dense in X for each k. We conclude by Baire category theorem that X0 is a dense Gδ subset of X.

For the proof of Theorem 1.1, what we need is part (1) of Lemma 2.1. Some applications of part (2) of Lemma 2.1 will be presented at the end of the article.

The next two results are the key tools required in the proof of our main Theorem.

Lemma 2.3.

Let (X,T) be a hypercyclic linear dynamical system, and α,β: be two strictly increasing functions such that lim supnα(kn)β(n)< for every k. Let xFHC(α,T) and yX.

(1) If lim infnTnxy1/β(n)=0, then yUFHC(α,T)HC(T).

(2) If r(T)=1 and lim infnTnxy1/β(n)<1, then yUFHC(α,T)HC(T).

Proof 2.4.

We will prove both (1) and (2) together. By the hypercyclicity of T, we have that T>1 and r(T)1 (see Proposition 5.8 and Proposition 5.3 in [5]). For zX and ε>0, let B(z,ε) denote the open ball in X centered at z and having radius ε. Suppose for a contradiction that yUFHC(α,T). Then there are zX and ε(0,1) such that

Ud(α,NT(y,B(z,2ε)))=0. (6)

By the assumptions on α,β, and the assumption that xFHC(α,T), we may choose C>0 and integers k4 and p1 such that

α(kn)Cβ(n) for every np, (7)

and

Ld(α,NT(x,B(z,ε)))>4k. (8)

By taking p large enough, we may also assume in view of (6) that

|{1jα(kn):Tjyz<2ε}|n for every np. (9)

The assumptions of both (1) and (2) in this Lemma imply lim infnTnxy1/β(n)<r(T)C. Hence we may choose δ(0,1) close to 1 and an infinite set M0[p,) such that

Tmxy1/β(m)<r(T)Cδ2C for every mM0. (10)

Since δCβ(m)<ε<1 for all sufficiently large m, we may suppose after discarding finitely many members of M0 that

Tmxy<r(T)Cβ(m)δCβ(m)ε for every mM0. (11)

Since limnTn1/n=r(T)<r(T)δ1 by the spectral radius furmula (see Theorem B.3 in [5]), there is q such that

Tn<r(T)nδn for every nq. (12)

Let M=M0[q,) and note that mmax{p,q} for every mM.

For any mM and 1jα(km)m, we see by (12) and (11) that

T2m+jxTm+jyTm+jTmxy<r(T)m+jδ(m+j)r(T)Cβ(m)δCβ(m)ε. (13)

For mM and 1jα(km)m, we have m+jα(km)Cβ(m) by (7). As δ<1r(T), we deduce from (13) that

T2m+jxTm+jy<ε for every mM and 1jα(km)m. (14)

Combining (9) and (14), we obtain by the triangle inequality that

|{1jα(km)m:T2m+jxz<ε}|m for every mM. (15)

We explain this step a little more. Fix mM, and note that mp by the choice of M. Let Jm={1jα(km)m:T2m+jxz<ε} and Im={1iα(km):Tiyz<2ε}, the sets appearing in (15) and (9) respectively. If jJm, then by (14) and the definition of Jm, we have that Tm+jyzTm+jyT2m+jx+T2m+jxz<ε+ε=2ε; and moreover m+jα(km). In other words, m+jIm for every jJm. Since |Im|m by (9), we must have |Jm|m, which is precisely the statement in (15).

Hence

|{1iα(km):Tixz<ε}|2m+m=3m for every mM. (16)

This would imply that Ld(α,NT(x,B(z,ε)))3k, which contradicts the choice of k in (8).

Lemma 2.5.

Let (X,T) be a hypercyclic linear dynamical system, and α,β: be two strictly increasing functions with the property that for each k, we have that α(kn)β(n) for all but finitely many n. If xFHC(α,T), yX, and lim infnTnxy1/β(n)<1/r(T), then yUFHC(α,T)HC(T).

Proof 2.6.

This result follows from the proof of Lemma 2.3 by taking C=1 in (7).

Now we are in a position to establish Theorem 1.1.

Proof 2.7 (Proof of Theorem 1.1).

(1) Consider xFHC(T). Since FHC(T)HC(T) and T(HC(T))HC(T), we have that {Tnx:nk} is dense in X for each k. Applying part (1) of Lemma 2.1 with s(n,t):=t1/n, Tn:=Tn, and An:={x} for every n, we deduce that the given set Y1 is a dense Gδ subset of X. Taking α and β to be the identity map of , we see that the hypothesis of Lemma 2.3 is satisfied. Hence Y1UFHC(T)HC(T) by part (1) of Lemma 2.3.

(2) Consider xFHC(T). The dense Gδ subset Y1 of X from part (1) is included in Y2 and hence Y2 is residual in X. Taking α and β to be the identity map of , we see that the hypothesis of Lemma 2.3 is satisfied. Hence Y2UFHC(T)HC(T) by part (2) of Lemma 2.3.

(3) Consider xHC(T). Let {Bp:p} be a countable base of open balls for X. For each p, write NT(x,Bp)={k(p,1)<k(p,2)<k(p,3)<}. Define α: as α(n)=max{k(p,n):1pn}. Clearly, α is strictly increasing and

|{1,2,,α(n)}NT(x,Bp)|n for every p and every np. (17)

Therefore, Ld(α,NT(x,Bp))1 for every p. As {Bp:p} is a base for X, we conclude that xFHC(α,T). Let Y0={yX:lim infnTnxy1/α(n2)=0}. Applying part (1) of Lemma 2.1 with s(n,t):=t1/α(n2), Tn:=Tn, and An:={x} for every n, we deduce that Y0 is a dense Gδ subset of X. The inclusion Y0Y3 implies that Y3 is residual in X. Define β: as β(n)=α(n2). Then β is strictly increasing, and α(kn)α(n2)=β(n) for every k and nk. Hence Y3UFHC(α,T)HC(T) by Lemma 2.5.

Corollary 2.8.

Let (X,T) be a frequently hypercyclic linear dynamical system with r(T)=1. Then limnTnx1/n=1 for every xFHC(T).

Proof 2.9.

Let xFHC(T). Since x0, we have that limnx1/n=1. Combining this with the inequality TnxTnx and using the spectral radius formula (Theorem B.3 in [5]), we get that lim supnTnx1/nr(T)=1. If lim infnTnx1/n<1, then part (2) of Theorem 1.1 would imply that 0UFHC(T)HC(T), which is a contradiction. Thus we must have limnTnx1/n=1.

3. Additional observations

We now indicate some applications of part (2) of Lemma 2.1. The Proposition below is stated only for the special case where s(n,t)=t1/n, but is more generally true for any function s:×[0,)[0,) such that s(n,):[0,)[0,) is an increasing homeomorphism for every n. The notation ker(T) stands for the kernel of the operator T.

Proposition 3.1.

Let (X,T) be a linear dynamical system.

(1) If the set of periodic points of T is dense in X, then {xX:lim infnTnxx1/n=0} is a dense Gδ subset of X.

(2) If n=1ker(Tn) is dense in X, then {xX:lim infnTnx1/n=0} is a dense Gδ subset of X.

(3) Assume Tn is not identically zero for every n. If yX is such that n=1Tn(y) is dense in X, then {xX:lim infnTnxy1/n=0} is a dense Gδ subset of X.

(4) Assume that T is hypercyclic and yHC(T). Then for every p<q in , the set {xX:lim infnTpnxTqny1/n=0} is a dense Gδ subset of X.

Proof 3.2.

In all the applications of Lemma 2.1(2) below, the function s:×[0,)[0,) is to be taken as s(n,t)=t1/n.

(1) Apply Lemma 2.1(2) with Tn:=TnI and An:={0}.

(2) Apply Lemma 2.1(2) with Tn:=Tn and An:={0}.

(3) First we claim that the closed set Tn(y) is nowhere dense in X for each n. If Tn(y) is not nowhere dense, then there exist uX and ε>0 with B(u,ε)Tn(y); and then Tn(B(0,ε))=Tn(B(u,ε)u)={0}, which would imply Tn0, a contradiction. This proves the claim. From the hypothesis and the claim, it follows that n=kTn(y) is dense in X for every k. Now apply Lemma 2.1(2) with Tn:=Tn and An:={y}.

(4) yHC(Tqp) by [1]. Apply Lemma 2.1(2) with Tn:=Tpn and An:={Tqny}.

In this article, we have presented a few results in the setting of Linear Chaos demonstrating that various interesting conclusions can be drawn by studying the speed of convergence of terms from the orbit of a (frequently) hypercyclic vector. Possibly there is much more to discover in this line of research.

Acknowledgements.
We thank the referee for a careful reading of the article and for providing helpful comments.
Funding.
This paper has not received any external funding.
Authos contributions.
Conceptualization, project administration, supervision, validation, visualization, writing – original draft, writing – review & editing, T.K.S.M.

References