Abstract.
Let be an infinite dimensional separable Banach space, be a hypercyclic operator, and be a (frequently)
hypercyclic vector of . We show that if the terms from the
-orbit of converge to a vector sufficiently fast, then
is also a hypercyclic vector of . As a corollary, we deduce
that if is a frequently hypercyclic operator with spectral
radius , then for every
frequently hypercyclic vector of . 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 (over
or ) and a bounded linear operator . We will be
addressing the following problem: if is a (frequently)
hypercyclic vector of and if the terms from the -orbit of
converge to a vector very fast, can we conclude that is
a hypercyclic vector of ?
Let , , and denote respectively the
collections of hypercyclic vectors, frequently hypercyclic vectors,
and upper frequently hypercyclic vectors of (precise definitions
are given below). Let denote the spectral radius of . A
subset of is said to be residual in if
contains a dense subset of (equivalently if
is of first category in ). The norm on will be denoted as . Our aim in this note is
to prove the following Theorem.
Theorem 1.1.
Let be an infinite dimensional separable Banach space and be a
bounded linear operator.
(1) Assume is frequently hypercyclic, and let . Then
the set
is a dense
subset of , and .
(2) Assume is frequently hypercyclic, , and let . Then
is a
residual subset of , and .
(3) Assume is hypercyclic, and let . Then
there is a strictly increasing function such that
is a residual subset of , and
.
We remark here that by Theorem 6.45 of [3], there are frequently hypercyclic operators on infinite dimensional separable Hilbert spaces with . Indeed, the frequently hypercyclic operator given by Theorem 6.45 of [3] has the property that for some infinite set , and this implies (we have by the spectral radius formula, and 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 , its lower
density and upper density are defined as
follows:
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(1) |
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(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 and . For a strictly increasing function
, we define the lower density
and upper density of with
respect to as follows:
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(3) |
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(4) |
When is the identity map of , the quantities
and reduce respectively to and
. Observe that while and are bounded above by
, there is no upper bound to and :
if for every , then
.
We say is a linear dynamical system if is an infinite
dimensional separable Banach space and is a bounded linear operator.
Let be a linear dynamical system. The -orbit of a vector is the set . For and , let
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(5) |
A vector is said to be a hypercyclic vector of if
for every nonempty open set . Let
denote the collection of hypercyclic vectors of . If ,
then is called a hypercyclic operator. When is a
strictly increasing function, we say a vector is an
-frequently hypercyclic vector of if
for every nonempty open set , and an upper -frequently
hypercyclic vector of if for every nonempty open set
. Let and denote respectively the
collections of -frequently hypercyclic vectors of and upper
-frequently hypercyclic vectors of .
The main use of the set in our proofs will be the
fact that the obvious inclusion holds.
Let and (where is the
identity map of ), which are respectively the collections of
frequently hypercyclic vectors of and upper
frequently hypercyclic vectors of . If ,
then is called a frequently hypercyclic operator. Clearly, , and thus every frequently hypercyclic operator is hypercyclic.
To analyze the speed of convergence of terms from the -orbit of a (frequently)
hypercyclic vector , we will use certain functions , where the requirement on will be that is an increasing homeomorphism for every . Observe that this
condition implies for each . A typical example of such a
function is given by .
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 , but is more generally true
for any function such that
is an increasing homeomorphism
for every . The notation stands for the kernel of the operator .
Proposition 3.1.
Let be a linear dynamical system.
(1) If the set of periodic points of is dense in ,
then is a
dense subset of .
(2) If is dense in ,
then is a dense
subset of .
(3) Assume is not identically zero for every . If is such that is
dense in , then is a dense subset of .
(4) Assume that is hypercyclic and . Then
for every in , the set is a dense subset
of .
Proof 3.2.
In all the applications of Lemma 2.1(2) below, the function is to be taken as .
(1) Apply Lemma 2.1(2) with and .
(2) Apply Lemma 2.1(2) with and
.
(3) First we claim that the closed set is nowhere dense in
for each . If is not nowhere dense, then there exist
and with ; and then
, which would imply , a
contradiction. This proves the claim. From the hypothesis and the claim, it
follows that is dense in for every . Now apply Lemma 2.1(2) with and .
(4) by [1]. Apply Lemma
2.1(2) with and .
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.