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SOME RESULTS ON RECURRENCE AND ENTROPY
DISSERTATIO
Presented in Partial Fulfillment of the Requirements for
the Degree Doctor of Philosophy in the Graduate
School of the Ohio State University
By
Ronald Lee Pavlov Jr., B.S., .
The Ohio State University
2007
Dissertation Committee:
. Approved by
Professor Vitaly Bergelson, Advisor
Professor Alexander Leibman
Advisor
Professor Manfred Einsiedler Graduate Program in
Graduate Program in Mathematics
ABSTRACT
This thesis is comprised primarily of two separate portions. In the first portion, we
exhibit, for any sparse enough increasing sequence of integers, a totally minimal,
totally uniquely ergodic, and topologically mixing system and for
which the averages fail to converge on a residual set in , answering
negatively an open question of Bergelson. We also construct here a totally minimal,
totally uniquely ergodic, and topologically mixing system and for
which .
In the second portion, we study perturbations of multidimensional shifts of finite
type. Given any shift of finite type for and any word in the language of
, denote by the set of elements of in which does not appear. If satisfies
a uniform mixing condition called strong irreducibility, we obtain exponential upper
and lower bounds on dependent only on the size of . This result
generalizes a result of Lind about shifts of finite type.
ii
To Dilip
ill
ACKNOWLEDGMENTS
First and foremost, I would like to thank my advisor Vitaly Bergelson. This the-
sis could never have been completed without his help. His infectious enthusiasm
for mathematics, along with a willingness to share his knowledge, were a constant
inspiration.
I would also like to thank my other committee members, Professors Alexander Leib-
man and Manfred Einsiedler, for agreeing to serve on my committee and for many
fruitful mathematical discussions.
Finally, I thank my friends and loved ones, without whom I would never have been
able to get as far as I have. In no particular order:
Thank you to Mom and Dad, who have always been willing to do anything to
support me and have always believed in me.
Thank you to Greg, without whose friendship and sense of humor graduate school
would have been much less bearable.
Thank you to Jasmine, who was always there for me. I can never thank you
enough for your constant love and support.
IV
VITA
2000-Present . . . . . . . . . . . . . . . . . . . . . . . . . . Graduate Teaching Associate,
The Ohio State University
1998-1999 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Student Instructional Associate,
The Ohio State University
2003 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . in Mathematics,
The Ohio State University
2000 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . in Mathematics,
The Ohio State University
PUBLICATIONS
Research Papers
Some Counterexamples In Topological Dynamics (Ergodic Theory and Dynam-
ical Systems, to appear)
Perturbations of Multidimensional Shifts of Finite Type (submitted)
FIELDS OF STUDY
Major Field: Mathematics
Specialization: Ergodic Theory and Dynamical Systems
vi
TABLE OF CONTENTS
Abstract ii
Dedication .
Acknowledgments . 1V
Vita
List of Figures ix
CHAPTER PAGE
1Introduction 1
2Recurrence and convergence of ergodic averages along sparse sequences 8
2.1 Introduction 8
2.2 Some general symbolic constructions 16
2.3 Some symbolic counterexamples 31
2.4 Some general constructions on connected manifolds . 42
2.5 Some counterexamples on connected manifolds 55
2.6 A counterexample about simultaneous recurrence 61
2.7 Questions 65
3Perturbations of multidimensional shifts of finite type 67
3.1 Introduction 67
3.2 Some measure-theoretic preliminaries 84
3.3 A replacement theorem 93
3.4 The proof of the main result 114
3.5 A closer look at the main result 146
3.6 An application to an undecidability question 155
3.7 Questions 159
Vll
Bibliography
161
Vlll
LIST OF FIGURES
FIGURE PAGE
3.1 's action on a sample element of 73
3.2 A portion of a sample element of 76
3.3 77
3.4 77
3.5 85
3.6 A standard replacement of . 95
3.7 A sample element of 97
3.8 An element of associated to two standard replacements 98
3.9 The suboctants of 99
3.10 Elements , of whose difference is a multiple of tOO
3.11 An element of which contains 106
3.12 107
3.13 108
3.14 Intersecting occurrences of 116
3.15 120
3.16 Disallowed and allowed pairs of overlapping 127
3.17 A point 138
ix
3.18 The correspondence between copies of and points in
139
3.19 How a copy of is filled if 140
3.20
141
(JIAPTER 1
INTRODUCTION
This introduction will serve as a brief mathematical and historical overview of both
of the main problems that we will examine in this thesis. Due to their somewhat
disparate natures, the two portions of this thesis will each contain a more in-depth
introduction as well. For this reason, we will for the most part relegate formal defi-
nitions to their pertinent introduction.
Ergodic theory is the study of average or long-term behavior of systems which evolve
with time. For example, one can consider a particle bouncing in a box at fixed speed.
Its position and velocity at any time can be represented by a vector in . One can
then model this behavior by taking to be the space of all possible positions and
velocities for the particle, and a self-map of which, given a position and velocity,
gives the position and velocity one second later. This pairing of a space with a
self-map is called a dynamical system.
The more general setup is that of a group acting on a space with some sort
of structure by maps preserving this structure. In this thesis, is always
for some N. Measure-theoretic ergodic theory occurs when is a measure
space with a probability measure invariant under each , and so in this case we call
1
a measure-preserving dynamical system. Topological dynam-
ics occurs when is a compact topological space and each is a homeomorphism,
and so in this case we call a topological dynamical system. In ei-
ther type of system, if , then for any integer , and so we shorten
to and to . (Here )
These cases are not as disjoint as they may first appear: the famed Bogoliouboff-
Krylov theorem states that any topological dynamical system has at
least one invariant probability measure as long as is an amenable group. (An
examination of amenability is beyond the scope of this thesis, but we mention that
amenable groups are a class which contain all abelian groups. We only consider
in this thesis, so all topological dynamical systems examined here will possess
invariant measures.) This sometimes allows one to examine topological properties of
a system via properties of invariant measures. For instance, in Chapter 3, we will
prove some purely combinatorial properties of a -action by homeomorphisms of a
Cantor set by means of studying the invariant measures of this action.
Chapter 2 deals primarily with ergodic averaging. One of the fundamental results of
ergodic theory is Birkhoff's ergodic theorem:
Theorem 1.0.1. ([Bi]) For any measure-preserving dynamical system
and any , exists for -almost every .
Several results have been proven about the convergence of such averages when one
averages not along all powers of , but only along some distinguished subset of the
2
integers. ([Bou], [Bou2], [Wi]) In particular, when one averages along for a
polynomial with integer coefficients, there is the following result of Bourgain:
Theorem 2.1.12. ([Bou], p. 7, Theorem t) For any measure-preserving dynamical
system , for any polynomial , and for any with
, exists for -almost every .
Theorem 2.1.12 can be interpreted as follows: for any polynomial , any
measure-preserving system , and any measure-theoretically "nice" func-
tion , the set of points where fails to converge is of mea-
sure zero, or negligible measure-theoretically. It is then natural to wonder whether or
not there is a topological parallel to this result using topological notions of "niceness"
(continuity) and negligibility (first category), and in fact such a question was posed
by Bergelson:
Question 2.1.13. ([Be], p. 51, Question 5) Assume that a topological dynamical
system is uniquely , and let and . Is it true that for
all but a first category set of points exists?
One of our results is a (quite negative) answer to Question 2.1.13:
Theorem 2.1.15. For any increasing sequence of integers with upper Banach
density , there exists a totally minimal, totally uniquely ergodic, and topologically
1A topological dynamical system is uniquely ergodic if there exists exactly one T-
invariant measure .
set has upper Banach density zero if .
3
mixing topological dynamical system and a continuous function on with
the property that fails to converge for a residual set of .
We also examine recurrence along distinguished subsets of the integers, motivated
primarily by the following result:
Theorem 2.1.17. ( , p. 14, Corollary 1.8) For any , any topolog-
ical dynamical system and any polynomials , , ,
with for , for a residual set of there exists a sequence
of positive integers such that for , where is the
standard orthonormal basis of .
In particular, this implies that for any minimal topological dynamical system
and any polynomial with , the set of with
is residual. The following result shows that for with degree at least two, this residual
set is not necessarily all of .
Theorem 2.1.18. For any increasing sequence of integers with upper Banach
density zero, there exists a totally minimal, totally uniquely ergodic, and topologically
mixing topological dynamical system (X,T) and an uncountable set A such that
for every x , the sequence does not have x as a limit point, i.e. there is
no sequence of positive integers such that x converges to x.
Another consequence of Theorem 2.1.17 is that for any commuting minimal homeo-
morphisms and of a compact space , there exists a residual set of for which
sA topological dynamical system is minimal if there exist no nonempty proper closed
-invariant subsets of .
4
there exists a sequence of positive integers such that and .
The following theorem shows that for some systems, it is the case that this residual
set of is not all of .
Theorem 2.1.21. There exists a totally minimal topological dynamical system (X,T)
and a point x such that for any positive integers r , any sequence of
integers satisfying and is eventually zero.
The systems which we construct to prove Theorems 2.1.15 and 2.1.18 are symbolic
dynamical systems. A symbolic dynamical system is defined by first choosing a
finite set , called the alphabet. endowed with the product topology is a
compact space, and for any , we may define the shift homeomorphism by
for Q. Any closed set has a topology induced by , and
if is invariant under each , then is a topological dynamical system
which we call a symbolic dynamical system.
In Chapter 3, we examine symbolic dynamical systems exclusively. There, we consider
a specific type of symbolic dynamical system called a shift of finite type. A -shift
of finite type is a symbolic dynamical system where is defined by
specifying a finite set of finite words (a word is a function from a finite subset of
to ) and taking to be the set of all elements of in which none of the words
in appear. The shift of finite type specified by a finite set of words in this
way is denoted by . For example, the set of all biinfinite sequences of zeroes and
ones in which no two ones occur consecutively is a shift of finite type, as is the set of
5
all arrays of zeroes and ones in which no three-by-four blocks of all zeroes or all
ones appear.
We are particularly interested in the effects of forbidding a particular word from a
shift of finite type . Given any word , define to be the set of elements of in
which does not appear. Then clearly is a subset of , and so the topological
entropy of is not greater than the topological entropy of . It
is natural to wonder how much the topological entropy drops by when is removed,
as it is a sort of measure of how important is to the information-retaining capacity
of . In [L], Lind proved the following: (the condition means that
and that appears in some element of )
Theorem 3.1.16. ([L], p. 360, Theorem 3) For any topologically transitive Z-shift
of finite type with positive topological entropy , there exist constants
, , and such that for any and any word , if we denote
by the shift of finite type , then
.
Our main result is a generalization of Theorem 3.1.16 for -shifts of finite type
which satisfy a mixing condition called strong irreducibility. (We formally define
strong irreducibility in Definition 3.1.19.)
Theorem 3.1.22. For any d 1 and any strongly irreducible -shift X
of finite type with uniform filling length R and positive topological entropy ,
6
there exist constants and such that for any and any word
, if we denote by the shift of finite type , then
.
One way in which -shifts of finite type are more difficult to deal with for is
that given a finite collection of patterns, it is undecidable whether or not the shift
of finite type induced by is even nonempty. Our methods yield a situation in
which this question can be answered:
Theorem 3.6.1. For any alphabet A, there exist F, G such that for any m
and any finite set of words : satisfying
and for , .
7
(JIAPTER 2
RECURRENCE AND CONVERGENCE OF ERGODIC
AVERAGES ALONG SPARSE SEQUENCES
2.1 Introduction
In this chapter, we are concerned with the convergence of averages of the form
for an increasing sequence of integers . We begin with some
definitions.
Definition 2.1.1. A measure-preserving dynamical system
consists of a measure space , a probability measure with -algebra 8 of measurable
sets, and a group action of transformations : with
for all .
Definition 2.1.2. A measure-preserving dynamical system (X,B, is er-
godic if any set A satisfying A for all g has {0,1}.
Definition 2.1.3. A topological dynamical system (X, consists of
compact topological space X and a group action of homeomorphisms :
X .
8
Definition 2.1.4. Given a topological dynamical system (X,, a Borel prob-
ability measure on X is called ergodic if (X,, , is an ergodic
measure-preserving dynamical system, where is the Borel -algebra of X.
In this chapter, all dynamical systems have , so as already described we
will use the notations and for measure-preserving and topological
dynamical systems respectively.
Definition 2.1.5. A topological dynamical system (X,T) is minimal if for any
closed set K with , K or K . (X,T) is totally minimal if
(X, is minimal for every n O.
Definition 2.1.6. A topological dynamical system (X,T) is uniquely ergodic if
there is only one Borel measure on X such that for every Borel
set X. (X,T) is totally uniquely ergodic if (X, is uniquely ergodic for
every n .
Definition 2.1.7. A topological dynamical system (X,T) is topologically mixing
if for any open sets U, , there exists N such that for any n N,
.
Definition 2.1.8. For any set , the upper Banach density of A is defined
by
.
9
Definition 2.1.9. For any set , the upper density of A is defined by
.
Definition 2.1.10. For a set , the density of A is defined by
if this limit exists.
Definition 2.1.11. Given a topological dynamical system (X,T) and a T-invariant
Borel probability measure , a point x is (T,-generic if for every f ,
.
In the measure-preserving setup, there are several positive results about convergence
of averages of the form , including this theorem of Bourgain:
Theorem 2.1.12. ([Bou], p. 7, Theorem t) For any measure-preserving dynamical
system , for any polynomial , and for any with
, exists for -almost every .
The following question regarding a possible topological version of Theorem 2.1.12 was
posed by Bergelson:
Question 2.1.13. ([Be], p. 51, Question 5) Assume that a topological dynamical
system is uniquely ergodic, and let and . Is it true that for
all but a first category set of points exists?
to
Bergelson added the hypothesis of unique ergodicity because it is a classical result
that a system is uniquely ergodic with unique -invariant measure if and
only if for every and , , and so in
the topological setup this is a natural assumption to make about to achieve
the desired result.
However, Bergelson was particularly interested in the convergence of these averages
to the "correct limit," i.e. where is the unique -invariant measure on
. To have any hope for such a result, it also becomes necessary to assume ergod-
icity for all powers of in order to avoid some natural counterexamples related to
distribution (mod ) of for positive integers . For example, if , is
the permutation on defined by (mod 3), is normalized
counting measure on , and , then is obviously uniquely ergodic with
unique invariant measure , but
, .and
To avoid such examples, we would need to be totally ergodic as well as uniquely
ergodic, and so it makes sense to assume total unique ergodicity to encompass both
properties. Bergelson's revised question then looks like this:
Question 2.1.14. Assume that a topological dynamical system (X,T) is totally uniquely
11
ergodic with unique -invariant measure , and let and . Is it true
that for all but a first category set of points ?
We answer Questions 2.1.13 and 2.1.14 negatively in the case where the degree of
is at least two, and in fact prove some slightly more general results. The level of
generality depends on what hypotheses we place on the space . In particular, we
can exhibit more counterexamples in the case where is a totally disconnected space
than we can in the case where is a connected space such as .
Theorem 2.1.15. For any increasing sequence of integers with upper Banach
density zero, there exists a totally minimal, totally uniquely ergodic, and topologically
mixing topological dynamical system and a continuous function on with
the property that fails to converge for a residual set of .
Theorem 2.1.16. For any increasing sequence of integers with the property
that for some integer , for all suffiffifficiently large , there ex-
ists a totally minimal, totally uniquely ergodic, and topologically mixing topological
dynamical system and a continuous function on with the property that
fails to converge for a residual set of . In addition, the space is
a connected 9-manifold.
We note that Theorems 2.1.15 and 2.1.16 answer Question 2.1.13 negatively for
with degree at least two, since the sequence for any nonlinear
satisfies the hypotheses of both theorems.
Theorems 2.1.15 and 2.1.16 are about nonconvergence of ergodic averages along cer-
tain sequences of powers of . We also prove two similar results about nonrecurrence
12
of points. As motivation, we note that a minimal system has the property that every
point is recurrent. In other words, if is minimal, then for all , it is the
case that . If is totally minimal, then all points are recurrent
even along infinite arithmetic progressions: for any nonnegative integers , , and for
all , . It is then natural to wonder if the same is true for other
sequences of powers of , and in this vein there is the following result of Bergelson
and Leibman, which is a corollary to their Polynomial van der Waerden theorem:
Theorem 2.1.17. ( , p. 14, Corollary 1.8) For any , any minimal topolog-
ical dynamical system and any polynomials , ,