On the problem by Erd\"os-de Bruijn-Kingman on regularity of reciprocals for exponential series
Alexander Gomilko, Yuri Tomilov

TL;DR
This paper investigates the boundedness and integrability properties of reciprocals of probability generating functions, providing stronger counterexamples and systematic analysis, with implications for renewal theory and continuous-time processes.
Contribution
It offers new, stronger counterexamples to a classical problem and systematically studies $L^p$-integrability of reciprocals under various conditions.
Findings
Boundedness of reciprocals generally fails.
Reciprocals exhibit certain $L^p$-integrability properties.
Results extend to continuous-time settings.
Abstract
Motivated by applications to renewal theory, Erd\H{o}s, de Bruijn and Kingman posed a problem on boundedness of reciprocals in the unit disc for probability generating functions . It was solved by Ibragimov in by constructing a counterexample. In this paper, we provide much stronger counterexamples showing that the problem does not allow for a positive answer even under rather restrictive additional assumptions. Moreover, we pursue a systematic study of -integrabilty properties for the reciprocals. In particular, we show that while the boundedness of fails in general, the reciprocals do possess certain -integrability properties under mild conditions on . We also study the same circle of problems in the continuous-time setting.
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Taxonomy
TopicsAdvanced Harmonic Analysis Research · Nonlinear Partial Differential Equations · Analytic and geometric function theory
On the problem by Erdős-de Bruijn-Kingman on regularity of reciprocals for exponential series
Alexander Gomilko
Faculty of Mathematics and Computer Science
Nicolaus Copernicus University
ul. Chopina 12/18
87-100 Toruń, Poland
and Institute of Telecommunications and Global
Information Space, National Academy of Sciences of Ukraine
Kiev, Ukraine
and
Yuri Tomilov
Institute of Mathematics
Polish Academy of Sciences
Śniadeckich 8
00-956 Warsaw, Poland
Abstract.
Motivated by applications to renewal theory, Erdős, de Bruijn and Kingman posed a problem on boundedness of reciprocals in the unit disc for probability generating functions . It was solved by Ibragimov in by constructing a counterexample. In this paper, we provide much stronger counterexamples showing that the problem does not allow for a positive answer even under rather restrictive additional assumptions. Moreover, we pursue a systematic study of -integrabilty properties for the reciprocals. In particular, we show that while the boundedness of fails in general, the reciprocals do possess certain -integrability properties under mild conditions on . We also study the same circle of problems in the continuous-time setting.
Key words and phrases:
Renewal sequences, generating functions, Fourier coefficients, trigonometrical series, absolute convergence
1991 Mathematics Subject Classification:
Primary 42A32, 42A16, 60K05; Secondary 60E10, 60J10
1. Introduction
1.1. Motivation
The paper addresses several notorious problems related to renewal sequences and their generating functions. Recall that if is such that and then the sequence given by the recurrence relation
[TABLE]
is called the renewal sequence associated to Renewal sequences are a classical subject of studies in probability theory, in particular, in the theory of Markov processes. To mention one of the probabilistic meanings of (1.1), let be a recurrent Markov chain with the state space and . If denotes the time of first return to the origin, and then For a thorough discussion of probabilistic background for (1.1), see e.g. [13, Vol 1, Ch. XIII] and [23, Ch. 1].
Moreover, renewal sequences are also of substantial interest in ergodic theory. For applications in ergodic theory one may consult e.g. the papers [1], [2] and [16], the book [3] and the references therein.
It is often convenient to study and in terms of their generating functions and given by
[TABLE]
The functions are defined on the open unit disc and connected by the relation
[TABLE]
Being unable to give any account of the wide topic of renewal sequences we refer to the classical sources such as for instance [23], [20], [32], and [13] (although the term “renewal sequence” for given by (1.1) is used only in [23] and [20]).
1.2. History
One of the first and foundational results in theory of renewal sequences is the famous Erdős-Feller-Pollard theorem. To recall it we need to introduce certain notation. Let consist of the power series of the form
[TABLE]
in It is a complete metric space with metric induced by -norm on an appropriate sequence space. We say that is aperiodic if implies that Clearly, if is aperiodic then is analytic in and continuous in
Using Wiener’s theorem, it was proved in [11] that if is aperiodic and additionally
[TABLE]
then
[TABLE]
This is essentially the famous Erdős-Feller-Pollard theorem, one of the first and basic limit theorems in renewal theory.
The key point in [11] for showing the property (1.4) was the fact that the function has absolutely convergent Taylor series:
[TABLE]
The theorem generated an area of research, and a huge number of its generalizations and improvements in various directions has appeared in subsequent years. Analytic approaches to the study of and of asymptotics of are discussed e.g. in [24, Chapter V.22] and [29, Chapter 24]. These books contain a number of related references. We mention here only the classical papers [33] and [12].
However, certain natural questions have escaped a thorough study. In particular, P. Erdős and N. de Bruijn suggested in [7, p. 164] that (1.5) is probably true for any aperiodic and the assumption (1.3) is redundant. As they wrote in [7], “it seems possible that the condition (1.3) is superfluous”. Moreover, the question whether (1.5) holds for any aperiodic satisfying (1.2) was formulated as an open problem by J. Kingman in [23, p. 20-21, (iv)]. A recent discussion of the problem in the context of ergodic theory can be found in [2]. The analysis of presents certain difficulties in view of nonlinear character of the transformation While is given explicitly in terms of it is very difficult to study it by means of the recurrence relation (1.1) (see e.g. [6] and [7] for such a direct approach). So most of the research on analytic properties of renewal sequences concentrated on the generating-function methodology.
One must note that relevant studies have been made by J. Littlewood in [27], a paper apparently overlooked by mathematical community. Being motivated by the enigmatic message from Besicovitch (see [28, p. 145]) and a question by W. L. Smith, Littlewood proved in [27] that for any function given by
[TABLE]
and as in (1.2), one has
[TABLE]
(Sometimes satisfying (1.6) are called quasi-exponential series.) In particular, there is (depending on ) such that
[TABLE]
for any Results of that type lead to a number of useful consequences in the study of regularity for generating functions of renewal sequences, as we show in Section 5.
It is natural to ask whether Littlewood’s results can be essentially improved. For example, boundedness from below of in the neighborhood of zero would imply (1.7). Littlewood’s student H. T. Croft claimed in [8] that the latter property does not hold, in general. More precisely, if is defined by (1.6), then for any function such that as there exist sequences and as above, and satisfying as such that
[TABLE]
(In fact, only the case was discussed in [8].) This, indirectly, would solve the Erdős-de Bruijn-Kingman problem once one would arrange the integer frequencies above, although Croft presumably was not aware of the problem. However, [8] contains only a hint rather than a complete argument, and it produces merely real frequencies rather than integer ones as in (1.2).
The Erdős-de Bruijn-Kingman problem was settled in the negative by I. A. Ibragimov in [19], who constructed an such that is unbounded in However, the size of the gap between the Erdős-Feller-Pollard condition (1.3) and the situation with no a priori assumption, i.e. remained completely unclear. In this paper, we show that (1.5) does not in general hold under essentially any summability assumptions weaker than (1.3), and moreover (1.5) fails for generic probabilities
It is also instructive to remark that in [17] J. Hawkes constructed a lacunary series of the form (1.6) with and such that
[TABLE]
This way, Hawkes solved another Kingman problem formulated in [23, p. 76], which is similar (but not equivalent) to the problem mentioned above. However, the approaches of [17] and [23] are quite close to each other.
1.3. Results
In this paper, we revisit the problem posed by Erdős, de Bruijn and Kingman, and provide counterexamples that can be considered as, in a sense, best possible. Namely, by methods very different from those of [19], we prove in Theorem 4.3 that for any positive sequence tending to zero (subject to a technical assumption) there exists an aperiodic with
[TABLE]
such that is not even bounded in , and thus (1.5) is not true. Moreover, the set of such is dense in (when is considered as a metric space with a natural metric). Thus, the assumption (1.3) in the Erdős-Feller-Pollard theorem is optimal as far as the “smoothness” of is concerned. Several results of a similar nature have been obtained as well. At the same time, we show in Appendix B that Croft’s idea can successfully be realized, and moreover it can also be realized for integer frequencies.
Our technique is based on constructing special sequences of polynomials approximating a given polynomial well enough in an appropriate norm and, as in (1.9), the constant function at a sequence of points from the unit circle converging to By means of either Baire-category arguments or inductive reasoning, this then turns into the same estimates for exponential series:
[TABLE]
It is crucial that the bounds of the type (1.9) can also be spread out to an appropriate sequence of intervals approaching and thus hold on a set of sufficiently large measure. These extended bounds generalize the upper estimates from [8], [19] and [17], and they allow us to get rid of a certain amount of regularity of e.g. with respect to the -scale.
By pursuing our studies a bit further, it is natural to ask what kind regularity is possessed by without any a priori assumptions on the sequence of Taylor coefficients of Despite the enormous number of papers on renewal sequences, the question seems to have not been adequately addressed so far (apart perhaps to some extent [1], [2] and [27]) In the present paper, we make several steps in this direction. First, we extend Littlewood’s results (1.7) and (1.8) by relating the integrability of on an interval to the summability properties of the Taylor coefficients of This allows us to obtain sharp and explicit conditions for the integrability of on the unit circle if is aperiodic. Furthermore, we pursue a similar study for the “smoothed” function appearing in the Erdős-de Brujin-Kingman problem. We show that for as in (1.2), satisfying
[TABLE]
for some one has
[TABLE]
On the other hand, for each we construct a function of the form (1.2) satisfying (1.11) but at the same time violating
[TABLE]
Remark that while (1.5) is not, in general, true for (as we show in this paper), we prove that nevertheless a weaker property holds:
[TABLE]
This simple result has probably been overlooked in the literature. Moreover, we show that, in general, if The problem what happens if remains, unfortunately, open.
We finish the paper with remarks on a continuous analogue of the Erdős-de Bruijn-Kingman problem.
2. Preliminaries and notations
For we denote by a Banach space
[TABLE]
with the norm
[TABLE]
Its subset given by
[TABLE]
is a complete metric space with the metric inherited from
Note that
[TABLE]
We will often use a more intuitive notation instead of whenever it is defined correctly. If for then we will write instead of slightly abusing our notation. The same will apply to the spaces We will also write (respectively ) instead of (respectively ). Clearly, is embedded contractively into any with as above. It will sometimes be convenient to consider functions from extended periodically to the whole real line.
In the sequel, we identify absolutely convergent power series on with their boundary values on and the boundary values with the corresponding -periodic functions so that
[TABLE]
In this way, our notation agrees with the same notation used in the introduction for power series. A function of the form will be called (exponential) polynomial. As usual, its degree is defined as Clearly the set of polynomials is contained in any
Following the definition of aperiodic from the introduction, is said to be aperiodic if for some implies Let us recall that is aperiodic if and only if the greatest common divisor of is The argument for the “only if” part of this equivalence can be found e.g. in [23, p. 12] or [24, p. 272-273], while the other part is obvious. The equivalence, in particular, implies that if then is aperiodic. Moreover, if is not aperiodic, then there exists such that
Observe that the set of polynomials in is dense in for any weight Indeed, let be given by
[TABLE]
Let us define for the family of aperiodic polynomials
[TABLE]
where
[TABLE]
Then
[TABLE]
The next simple proposition will be useful for the sequel. It is probably known, but we were not able to find an appropriate reference.
Proposition 2.1**.**
The set of aperiodic functions in is open in .
Proof.
Let be a sequence of non-aperiodic functions such that
[TABLE]
for some Note that for every there exists such that If is any limit point of then and from (2.4), (2.1) and the continuity of it follows that . Therefore, is not aperiodic, and the set of non-aperiodic functions is closed in . ∎
Remark 2.2*.*
By Proposition 2.1 the set of aperiodic functions in is open in Since that set is also dense in as we showed above, the set of aperiodic functions in is residual, i.e. it is the complement of a set of first category in
Finally, we will fix some standard notation for the rest of the paper. For any measurable set (or ) we let stand for its Lebesgue measure. The usual max norm in the space of -periodic continuous functions on will be denoted by Sometimes, to simplify the exposition, the constants will change from line to line, although in several places we will give the precise values of constants to underline their (in)dependence on parameters.
3. Auxiliary estimates for the exponential polynomials
In this section, we first obtain lower estimates for the size of approximations of the constant function by exponential polynomials. Then in the next section these estimates will be extended to exponential series by either Baire-category arguments or inductive constructions.
We start with the following technical lemma.
Lemma 3.1**.**
For define
[TABLE]
Then
[TABLE]
Since the proof of Lemma 3.1 is based on simple computations with trigonometrical functions, it will be postponed to Appendix A.
The next corollary gives a recipe for constructing polynomials (having, in general, non-integer frequencies) with control of their size at a fixed point and of their variation on the unit circle.
Corollary 3.2**.**
Let For all and there exists such that if
[TABLE]
then
[TABLE]
Proof.
Let and be fixed. Set
[TABLE]
where are given by Lemma 3.1. Then, by Lemma 3.1,
[TABLE]
Note that
[TABLE]
So using (3.1) and (3.4), we obtain that
[TABLE]
hence the first estimate in (3.3) holds.
Finally, by (3.4),
[TABLE]
i.e. the second estimate in (3.3) is true. ∎
Now we are able to show that for any polynomial from there is another polynomial close to it in an appropriate weighted norm and close to the function on a sequence going to
Theorem 3.3**.**
Let be a positive sequence such that
[TABLE]
and let Then for every polynomial there exist a sequence decreasing to zero and a sequence of polynomials satisfying
[TABLE]
Proof.
Let a polynomial be fixed, and let Define and choose a subsequence such that
[TABLE]
Fix an integer such that
[TABLE]
and put
[TABLE]
Using Corollary 3.2 with and we conclude that there exist , and a polynomial given by
[TABLE]
such that
[TABLE]
Hence (3.5) and the latter inequality imply that
[TABLE]
Since as the statement follows. ∎
Remark 3.4*.*
Here and in the sequel, the assumption is of a purely technical nature and has been made to simplify our exposition.
Recall from Section 2 that the set of aperiodic polynomials is dense in any . Thus Theorem 3.3 implies the following statement.
Corollary 3.5**.**
Let satisfy and and let Then for every there exists a sequence of polynomials such that
[TABLE]
The next result is our basic statement, allowing one to spread out the upper estimates for proved in Theorem 3.3 from the sequence to a larger set containing it. The result will help us to provide counterexamples on -integrability of
Theorem 3.6**.**
Let and be continuous functions satisfying
[TABLE]
Then for every polynomial there exist a sequence decreasing to zero and a sequence of polynomials such that for all
- (i)
**
- (ii)
**
- (iii)
**
Moreover, for each and for each such that one has
[TABLE]
Proof.
Let a polynomial be fixed, and let From (3.6) it follows that and then Since we have as well, there exists such that
[TABLE]
Define
[TABLE]
and note that, in particular, and for all
Moreover, if , then by (3.7),
[TABLE]
Since is continuous on and there exists a sequence satisfying
[TABLE]
Moreover, as , we may also assume that
Next, we fix set and and apply Corollary 3.2 to the polynomial By (3.8), we infer that there exist and a polynomial such that
[TABLE]
and
[TABLE]
[TABLE]
Using
[TABLE]
and (3.9), we conclude that if then
[TABLE]
∎
Remark 3.7*.*
Let and let be polynomials given by Theorem 3.6. If is a nondecreasing sequence, then the estimate from Theorem 3.6, (iii) yields
[TABLE]
In particular, if , for some , then in view of , , one has
[TABLE]
It will be convenient to separate the next easy corollary of Theorem 3.6
Corollary 3.8**.**
Let and let be a continuous function such that
[TABLE]
Then for every polynomial there exist a sequence decreasing to zero and a sequence of polynomials such that for all
- (i)
**
- (ii)
**
- (iii)
**
Moreover, for each and each such that one has
[TABLE]
Proof.
Define
[TABLE]
Since and satisfy (3.6), the corollary follows from Theorem 3.6 and Remark 3.7. ∎
By density arguments, the next result follows directly from Corollary 3.8.
Corollary 3.9**.**
Let be a continuous function satisfying (3.11), and let Then for every there exist a sequence of polynomials , and a sequence decreasing to zero, such that
[TABLE]
and
[TABLE]
4. Main results
Using our construction of exponential polynomials from the previous section, we now produce a dense set of functions “almost” satisfying the Erdős-Feller-Pollard’s condition (1.3) but having such a strong singularity at that is unbounded in To this aim, we employ either Baire-category arguments (as in Theorem 4.2) or, alternatively, an iterative procedure (as in Theorem 4.4). Thus, we show that the Wiener-type condition (1.3) is the best one can hope for as far as the boundedness of is concerned. We then use power weights to construct examples of close to the constant function on a sufficiently large set (but violating (1.3)). This will be used in the next section to study the property for a fixed in terms of the Taylor coefficients of
Proposition 4.1**.**
Let be a family of continuous functionals on a complete metric space and let Suppose that for any there exists a sequence satisfying
[TABLE]
Then there exists a residual set (in particular, dense in ) such that
[TABLE]
Proof.
Define a functional , , on by
[TABLE]
Note that
[TABLE]
Since are continuous, is upper-semicontinuous on for each by a standard argument. By e.g. [15, Theorem 9.17.3] for every the set of continuity points of is residual. Hence
[TABLE]
is residual as well. Thus, by (4.1) and (4.3), for every and every
[TABLE]
and the statement follows. ∎
Theorem 4.2**.**
Let , and let be a continuous function satisfying (3.11). Then there exists a residual set of aperiodic functions with the following property: for every there is a sequence decreasing to zero such that
[TABLE]
Proof.
Consider a family of continuous functionals on given by
[TABLE]
for each Using (2.1) and Corollary 3.9, we infer that satisfies the assumptions of Proposition 4.1 with Therefore, there exists a residual set in satisfying (4.2) with Note that the set of aperiodic functions in is residual. Taking the intersection of the two sets, we obtain a residual set satisfying (4.2) with again.
∎
Similarly, Corollary 3.5 and Proposition 4.1 imply the following statement.
Theorem 4.3**.**
Let be a positive sequence such that
[TABLE]
If and then for each there exists an aperiodic function such that
[TABLE]
for some sequence decreasing to zero.
Now we present another approach to Theorem 4.2 avoiding category arguments. Although the approach leads to a slightly weaker statement, it seems more transparent.
Theorem 4.4**.**
Let be fixed, and let satisfy (3.11). If then for all and there exist an aperiodic function and a sequence decreasing to zero such that and
[TABLE]
Proof.
Let and be fixed. Without loss of generality we may assume that is an aperiodic polynomial and that is so small that the ball
[TABLE]
consists of aperiodic functions.
We construct the sequences
[TABLE]
with
[TABLE]
and the sequence of polynomials so that, for and satisfying one has
[TABLE]
and moreover
[TABLE]
Let
[TABLE]
By Corollary 3.8, there exists (large enough) and a polynomial such that
[TABLE]
whenever and
[TABLE]
So, (4.9) and (4.10) hold for .
Arguing by induction, suppose that (4.9) and (4.10) are true for some . Choose satisfying
[TABLE]
Then by Corollary 3.8 applied to there exist , and (small enough) such that
[TABLE]
if and, moreover,
[TABLE]
Hence for every and every satisfying we have
[TABLE]
Taking in account (4.11), we infer that (4.9) and (4.10) hold for too.
By (4.8) the sequence is Cauchy in so there exists such that
[TABLE]
Finally, (4.9) yields (4.7), and moreover is aperiodic by the above. ∎
5. Regularity of reciprocals in terms of the -scale
In this section we will study the regularity of generating functions for renewal sequences with respect to the -scale. Namely, we will be concerned with the identifying such that where is aperiodic. It is clear that if
[TABLE]
where then if and only if Thus, it is enough to study the same issue for the function and the results on below will be formulated in terms of We will show, in particular, that while has a certain amount of regularity, being in for is not very regular in the sense that does not belong, in general, to if This result will be put below into a more general (and sharper) context of the spaces
To get positive results on the regularity of we will use an idea from [27]. In particular, we will use the following crucial result proved in [27, Theorem 1]. (The result formulated in [27] has a weaker form but the proof given there yields the statement given below.)
Theorem 5.1**.**
Let
[TABLE]
and
[TABLE]
with and Then
[TABLE]
Recall that here and in the sequel meas stands for the Lebesgue measure.
Remark 5.2*.*
Note that the above estimate is the best possible as the example of shows. Remark also that Theorem 5.1 was stated in [27] with a constant instead of above. The uniformity of was not clarified in [27]. Since that property is crucial for our reasoning and to be on a safe side we provide an independent proof of Theorem 5.1 in Appendix A.
Corollary 5.3**.**
Let and let If
[TABLE]
then for every such that one has
[TABLE]
Proof.
If and then by (5.1) we obtain:
[TABLE]
∎
We will also need the next technical estimate for distribution functions. Its proof is postponed to Appendix A.
Proposition 5.4**.**
Let be a measurable set of finite measure, and let be a measurable function. Suppose that there are constants and such that a.e. on and, moreover,
[TABLE]
Then for all and
[TABLE]
Now we are ready to prove one of the main results of this section. It is an extension and sharpening of Littlewood’s Theorem from [27]. For
[TABLE]
from define for
[TABLE]
Note that
[TABLE]
Theorem 5.5**.**
Let be given by (5.4) and let . Then for each there exists such that for every with one has:
[TABLE]
Proof.
Let satisfy and let be fixed. By assumption,
[TABLE]
If and then so that and . Hence for we have
[TABLE]
and
[TABLE]
If , then by (5.8) we have
[TABLE]
and (5.6) holds.
Let now . For let be the set of such that
[TABLE]
Corollary 5.3 then yields
[TABLE]
Now, since
[TABLE]
by (5.10) again, we have
[TABLE]
So, putting
[TABLE]
we infer that for every
[TABLE]
We now estimate the left-hand side of (5.6) as follows. Write
[TABLE]
where
[TABLE]
We deal with each of the terms and above separately. First, observe that by (5.12),
[TABLE]
Second, if in addition then
[TABLE]
Setting to simplify the notation
[TABLE]
and using Proposition 5.4 and (5.11), we obtain that
[TABLE]
Taking in account (5.13) we infer that (5.6) holds with ∎
Theorem 5.5 allows us to describe the integrability of in terms of the size of Fourier coefficients of . We will need the next simple proposition on series with positive terms, proved in Appendix A.
Proposition 5.6**.**
Let be a positive decreasing sequence, and let . Then
[TABLE]
For define
[TABLE]
Corollary 5.7**.**
Let be given by (5.4). Then there exist and such that
[TABLE]
In particular, if is aperiodic and the right-hand side of (5.14) is finite, then .
Proof.
Choose with . By Theorem 5.5,
[TABLE]
for a constant Fix such that
[TABLE]
and note that and moreover monotonically increases. Using (5.15) and Proposition 5.6, we obtain:
[TABLE]
[TABLE]
that is, the right-hand side estimate in (5.14) holds. If the series converges, then since is aperiodic and is symmetric in the sense that we infer that
To prove the left-hand side estimate in (5.14), we note that if and are such that , then, using (5.5), we have
[TABLE]
Therefore, from (5.16) it follows that there exists such that
[TABLE]
(Since we do not need Theorem 5.5 for the left-hand side estimate, a dyadic partition of is replaced with a partition, in a sense, more convenient for writing down the final estimate.) ∎
Remark 5.8*.*
From (5.15) it follows that if is given by (5.4) and
[TABLE]
then
[TABLE]
cf. Littlewood’s result (1.7).
If then
[TABLE]
for every since in this case
[TABLE]
and
[TABLE]
On the other hand, in this case (5.17) is a direct consequence of
Remark 5.9*.*
For aperiodic , let Recall that is analytic in and continuous in If then hence belongs to the Hardy space If then by Hardy’s inequality ([18, IX.9.7]),
[TABLE]
We pause now to illustrate Corollary 5.7 by the following example.
Example 5.10*.*
Consider
[TABLE]
Then and it is aperiodic. For each we have
[TABLE]
hence by (5.14). On the other hand, if then
[TABLE]
for some constant so (5.14) implies that . (Similarly, if is given by
[TABLE]
then is aperiodic and .)
Although, in general, for it is possible to formulate a sufficient condition on the Fourier coefficients ensuring for fixed (This way we may also produce such that ) The next statement is a direct implication of Theorem 5.5.
Corollary 5.11**.**
Let be aperiodic, and let If there is such that
[TABLE]
then .
Proof.
By aperiodicity and symmetry of it suffices to prove that
[TABLE]
for some . Using (5.18), Theorem 5.5 and Proposition 5.6, we infer that there exists such that for large enough and :
[TABLE]
∎
Further we will make use of Theorem 5.5 to describe the regularity with respect to the -scale for arbitrary
Corollary 5.12**.**
Let and be aperiodic. Then where On the other hand, for any and
[TABLE]
there exists an aperiodic function such that
Proof.
Let us prove the first claim. Suppose Again, by aperiodicity of and symmetry of it suffices to show that that (5.19) holds for some and Choose so large that , Then, taking into account [18, Thm. 165], we conclude that there are constants and such that
[TABLE]
Thus, Corollary 5.11 implies that
Second, to prove the negative result, let be fixed. Write
[TABLE]
and for a fixed define a continuous function
[TABLE]
Since satisfies (3.11), Theorem 4.2 implies that there exists an aperiodic and a decreasing sequence tending to zero such that
[TABLE]
whenever Setting
[TABLE]
we have
[TABLE]
for some constant Note that
[TABLE]
and choose such that that is
[TABLE]
As , , the right-hand side of (5.20) tends to infinity as hence ∎
Finally, as a consequence of Corollary 5.12, we derive a result on the regularity of measured in terms of -spaces. The result corresponds formally to the case in Corollary 5.12 and should be compared to the property (1.5) discussed by Erdős, de Bruijn and Kingman. While its positive part is elementary, it was apparently overlooked by specialists in probability theory.
Corollary 5.13**.**
Let be aperiodic, and let be a renewal sequence associated to Then and
[TABLE]
At the same time, there exists an aperiodic such that for every
Proof.
The second claim follows directly from Corollary 5.12. Let so that Then Note that since
[TABLE]
by Fatou’s Lemma and positivity of the harmonic function in , cf. [23, p. 10-12]. On the other hand, if is such that and then
[TABLE]
and
[TABLE]
Thus and, if is aperiodic, then As the latter property is equivalent to , Parseval’s identity yields (5.21). ∎
Remark 5.14*.*
For and there are several estimates in the literature of the form
[TABLE]
with an absolute constant see e.g. [4], [9], [10], [25], [30]. The estimates are motivated by applications in probability theory and number theory, and they seem to be weaker than the estimate (5.1) provided by Theorem 5.1. (A related bound for in terms of its coefficients has been given in [5].) To clarify their relations to our treatment, for and define
[TABLE]
Note that
[TABLE]
On the other hand, if is aperiodic then Littlewood’s theorem (1.8) implies that for every there exists such that
[TABLE]
Indeed, let be fixed. Then, taking and using (1.8), we have
[TABLE]
and (5.22) follows. Thus (1.8) gives asymptotically better bounds for However, it is not clear whether the constant can be taken independent of
6. Remarks on -functions
The theory of -functions can be considered as a continuous counterpart of the theory of renewal sequences. Its basic facts can be found in [23]. To put the relevant considerations on -functions into our setting, let us first recall a couple of basic facts.
Let a function in the right half-plane be defined as
[TABLE]
where and is a positive Borel measure on satisfying
[TABLE]
(It is easy to see that is analytic in and continuous in ) Then there is a unique continuous function called a standard -function, such that the Laplace transform of can be represented as
[TABLE]
for Observe that if is a standard -function, then extends analytically to and continuously to see [23, p. 74] and [21, Theorem 5]. For -function given by (6.2) and (6.1) we will write .
We refer to [23, Chapter 3] concerning basic facts of the analytic theory of -functions. Note that in (6.1) is a so-called Bernstein function, and the class of -functions is an important subclass of a class of potential measures arising in the study of Bernstein functions. For a thorough discussion of Bernstein functions and associated potential measures, see [31, Ch. 5, p. 63-64 and Ch. 11].
Moreover, by [21, Theorem 6], for one has
[TABLE]
It was proved in [22, Theorem 3] (see also [23, p. 75-76]) that if , i.e. if
[TABLE]
then has bounded variation on As in the setting of renewal sequences, a natural question is whether has always bounded variation, i.e. also in the case when The question was asked by J. Kingman in [23, p. 76], and soon after J. Hawkes produced in [17] an example showing that the answer is “no” in general.
The argument in [17] was based on the following observation. Let
[TABLE]
and the corresponding -function be given by
[TABLE]
If has bounded variation on and then
[TABLE]
Essentially, Hawkes constructed a quasi-exponential series
[TABLE]
(see the introduction) such that
[TABLE]
(thus does not exist ). Then, setting
[TABLE]
for with one obtains the desired (counter-)example.
One can prove that in Hawkes’s example
[TABLE]
In other words, the example states that there exists a finite (discrete) Borel measure on , satisfying
[TABLE]
such that the corresponding -function has unbounded variation on If one can arrange then the example could also be used to produce a negative answer to the question by Erdős-de Bruijn-Kingman on renewal sequences. However, we do not see how to realize that in a way different from the above.
On the other hand, using our results, we can generalize the considerations by Hawkes in the following way, thus showing that the condition (6.3) is best possible in a sense (as in (1.3), the discrete analogue of (6.3)).
Theorem 6.1**.**
Let be a function satisfying
[TABLE]
Then there exists a finite (discrete) Borel measure on such that
[TABLE]
and the corresponding -function has unbounded variation on .
Proof.
By Theorem 4.3, setting there exists such that
[TABLE]
If then is of the form (6.1) for an appropriate discrete measure supported by If a -function is defined by
[TABLE]
then satisfies (6.6), and, moreover, it has unbounded variation on by (6.4) and (6.7).
∎
7. Appendix A: Technicalities
The proof of Lemma 3.1 Since , and , we have
[TABLE]
Moreover, as
[TABLE]
and
[TABLE]
for we obtain
[TABLE]
where
[TABLE]
Therefore,
[TABLE]
and then
[TABLE]
To prove Littlewood’s result mentioned in Section 5 with an explicit constant, we prove first the next auxiliary estimate; see also Remark 5.2.
Lemma 7.1**.**
If is a measurable set such that
[TABLE]
for some then
[TABLE]
Proof.
By -periodicity of we may assume without loss of generality that Write and
[TABLE]
Noting that we have
[TABLE]
hence
[TABLE]
so that, as
[TABLE]
we obtain
[TABLE]
and the statement follows. ∎
Corollary 7.2**.**
Let , and let a measurable set be such that
[TABLE]
Then
[TABLE]
Proof.
We have
[TABLE]
where and Set and write
[TABLE]
so that
[TABLE]
By assumption,
[TABLE]
Hence, by Lemma 7.1 and convexity arguments,
[TABLE]
∎
Thus, we have the following result, formulated essentially in [27, Lemma] with a constant instead of .
Lemma 7.3**.**
Let
[TABLE]
where , , and
[TABLE]
If and is a measurable set such that
[TABLE]
then .
Now we are able to prove Theorem 5.1 with the absolute constant
Proof of Theorem 5.1. Let be as in Theorem 5.1, and let Then
[TABLE]
and from Lemma 7.3 it follows that hence
[TABLE]
We now turn to the proof of Proposition 5.4. First, let us recall one of the forms of layer-cake representation, which is a direct consequence of e.g. [14, Prop. 1.3.4] or [26, Ch. 1.13].
Lemma 7.4**.**
Let be a differentiable strictly decreasing function with , and let be a measurable function, where is a measurable set of finite measure. Then
[TABLE]
where
[TABLE]
(It suffices to note that
[TABLE]
and apply either of the statements from [14] or [26] to .)
Having Lemma 7.4 in mind, we are now ready to give a proof of Proposition 5.4.
Proof of Proposition 5.4. Let be defined by (7.4) so that
[TABLE]
By assumption,
[TABLE]
Using Corollary 7.4 with we obtain
[TABLE]
Next, using the estimate (see e.g. [18, Thm. 41])
[TABLE]
and the elementary inequality
[TABLE]
we have
[TABLE]
From this and (7.5) we obtain (5.3).
We finish this section with the proof of auxiliary Proposition 5.6 on positive series.
Proof of Proposition 5.6. Note that
[TABLE]
so
[TABLE]
and then
[TABLE]
On the other hand,
[TABLE]
hence
[TABLE]
and
[TABLE]
8. Appendix B: Croft’s approach
In this section we present a different proof of Corollary 3.8 based on Croft’s approach from [8] dealing with quasi-exponential series, that is with trigonometrical series with real frequencies. However, as we remarked above, the argument in [8] seems to be incomplete.
Let us briefly compare Croft’s approach with the one of the present paper. For a sufficiently small parameter both approaches aim at finding and such that is “small”, in particular, for some where a constant does not depend on Croft proceeds by requiring This way he expresses in terms of and then chooses to ensure the inequality above. Unfortunately, his proof stops at this step. Proceeding in a different way, for a fixed we minimize the quadratic function with respect to This relates to and allows us to make the quantity “small” enough to fit the steps of our inductive constructions in Section 3. The two steps lead eventually to similar estimates of On the other hand, we also have to take care of a) getting polynomials with integer frequencies eventually, b) spreading out our estimates for to large sets, c) extending our estimates for polynomials from fixed to appropriate sequences of going to [math] and then, finally, d) of constructing out of via a limiting procedure.
Lemma 8.1**.**
Let
[TABLE]
* and Then for any *
[TABLE]
and
[TABLE]
Moreover,
[TABLE]
Proof.
Since and ,
[TABLE]
and, in view of ,
[TABLE]
so that (8.1) and (8.2) hold. Moreover,
[TABLE]
and we get (8.3). ∎
As an illustration, to show that Croft’s idea actually works, we provide now a proof of Corollary 3.8 following Croft’s approach.
Proof of Corollary 3.8. For and , define
[TABLE]
Then
[TABLE]
and
[TABLE]
Fix such that
[TABLE]
so that, in particular,
[TABLE]
For define
[TABLE]
and note that
[TABLE]
Then the assumption takes the form and holds for , by (8.5).
Furthermore, for define
[TABLE]
By (8.1) and (8.6) we infer that
[TABLE]
hence
[TABLE]
is well-defined. Observe that is continuous on and it satisfies . Therefore, there exists a sequence such that
[TABLE]
We may assume that . From (8.9) and (8.8) it follows that Moreover, the latter condition implies that for large , so without loss of generality, we may assume that
Define a polynomial by (8.4) with and Then, employing (8.8) and (8.9), we obtain that
[TABLE]
Moreover, by (8.2),
[TABLE]
and, in view of and (8.7),
[TABLE]
Thus, taking into account (8.11) and (8.10),
[TABLE]
Next, to estimate the distance between and we note that
[TABLE]
and then, by Remark 3.7,
[TABLE]
Finally, (8.3), (8.5), and (8.6) imply that
[TABLE]
Therefore, if then
[TABLE]
9. Acknowledgement
The authors would like to thank J. Aaronson, who attracted the authors’ attention to the problem posed by Erdős, de Bruijn, and Kingman.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] J. Aaronson, Rational weak mixing in infinite measure spaces, Ergodic Theory Dynam. Systems 33 (2013), 1611–1643.
- 2[2] J. Aaronson, Conditions for rational weak mixing, Stoch. Dyn. 16 (2016), 1660004, 12 pp.
- 3[3] J. Aaronson, An introduction to infinite ergodic theory, Mathematical Surveys and Monographs, 50 , AMS, Providence, RI, 1997.
- 4[4] K. Ball and F. Nazarov, Little level theorem and zero-Khinchin inequality for sums of independent random variables, 1996, preprint, see http://users.math.msu.edu/users/fedja/prepr.html.
- 5[5] M. Benedicks, An estimate of the modulus of the characteristic function of a lattice distribution with application to remainder term estimates in local limit theorems, Ann. Probab. 3 (1975), 162–165.
- 6[6] N. G. de Bruijn and P. Erdős, Some linear and some quadratic recursion formulas, I and II, Nederl. Akad. Wetensch. Proc. (=Indag. Math.) 13 (1951), 374–382, and 14 (1952), 152–163.
- 7[7] N. G. de Bruijn and P. Erdős, On a recursion formula and on some Tauberian theorems , J. Res. Nat. Bur. Standards 50 (1953), 161–164.
- 8[8] H. T. Croft, Note on a paper of J. E. Littlewood , J. London Math. Soc. 37 (1962), 477–478.
