On the Classification of LS-Sequences
Christian Wei{\ss}

TL;DR
This paper investigates the classification of LS-sequences, demonstrating that only specific cases correspond to known low discrepancy sequences and providing improved discrepancy bounds for certain cases.
Contribution
It proves that LS-sequences with S=1 relate to Kronecker sequences and that for S≥2 they are distinct, also offering improved discrepancy bounds for S=1.
Findings
LS-sequences with S=0 are van der Corput sequences
S=1 sequences relate to two-sided Kronecker sequences
For S≥2, LS-sequences are neither van der Corput nor Kronecker
Abstract
This paper adresses the question whether the -sequences constructed by Carbone yield indeed a new family of low discrepancy sequences. While it is well known that the case corresponds to van der Corput sequences, we prove here that the case can be traced back to two-sided Kronecker sequences and moreover that for none of these two types occurs anymore. In addition, our approach allows for an improved discrepancy bound for and arbitrary.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Approximation and Integration · Analytic Number Theory Research · Coding theory and cryptography
On the Classification of -Sequences
Christian Weiß
Abstract
This paper addresses the question whether the -sequences constructed in [Car12] yield indeed a new family of low-discrepancy sequences. While it is well known that the case corresponds to van der Corput sequences, we prove here that the case can be traced back to symmetrized Kronecker sequences and moreover that for none of these two types occurs anymore. In addition, our approach allows for an improved discrepancy bound for and arbitrary.
1 Introduction
There are essentially three classical families of low-discrepancy sequences, namely Kronecker sequences, digital sequences and Halton sequences (compare [Lar14], see also [Nie92]). In [Car12], Carbone constructed a class of one-dimensional low-discrepancy sequences, called -sequences with and . The case corresponds to the classical one dimensional Halton sequences, called van der Corput sequences. However, the question whether -sequences indeed yield a new family of low-discrepancy sequences for or if it is just a different way to write down already known low-discrepancy sequences has not been answered yet. In this paper, we address this question and thereby derive improved discrepancy bounds for the case .
Discrepancy.
Let be a sequence in . Then the discrepancy of the first points of the sequence is defined by
[TABLE]
where the supremum is taken over all axis-parallel subintervals and and denotes the -dimensional Lebesgue-measure. In the following we restrict to the case . If satisfies
[TABLE]
then is called a low-discrepancy sequence. In dimension one this is indeed the best possible rate as was proved by Schmidt in [Sch72], that there exists a constant with
[TABLE]
The precise value of the constant is still unknown (see e.g. [Lar14]). For a discussion of the situation in higher dimensions see e.g. [Nie92], Chapter 3.
A theorem of Weyl and Koksma’s inequality imply that a sequence of points is uniformly distributed if and only if
[TABLE]
Thus, the only candidates for low-discrepancy sequences are uniformly distributed sequences. A specific way to construct uniformly distributed sequences goes back to the work of Kakutani [Kak76] and was later on generalized in [Vol11] in the following sense.
Definition 1.1**.**
Let denote a non-trivial partition of . Then the -refinement of a partition of , denoted by , is defined by subdividing all intervals of maximal length positively homothetically to .
Successive application of a -refinement results in a sequence which is denoted by . The special case of Kakutani’s -refinement is obtained by successive -refinements where . If is the trivial partition then we obtain Kakutani’s--sequence. In many articles Kakutani’s -sequence serves as a standard example and the general results derived therein may be applied to this case (see e.g. [CV07], [DI12], [IZ15], [Vol11]). Another specific class of examples of -refinement was introduced in [Car12].
Definition 1.2**.**
Let and be the solution of . An -sequence of partitions is the successive -refinement of the trivial partition where consists of intervals such that the first intervals have length and the successive intervals have length .
The partition consists of intervals only of length and . Its total number of intervals is denoted by , the number of intervals of length by and the number of intervals of length by . In [Car12], Carbone derived the recurrence relations
[TABLE]
for with initial conditions and . Based on these relations, Carbone defined a possible ordering of the endpoints of the partition yielding the -sequence of points. One of the observations of this paper is that this ordering indeed yields a simple and easy-to-implement algorithm but also has a certain degree of arbitrariness.
Definition 1.3**.**
Given an -sequence of partitions , the corresponding -sequence of points is defined as follows: let be the first left endpoints of the partiton ordered by magnitude. Given an ordering of is then inductively defined as
[TABLE]
where
[TABLE]
As the definition of -sequences might not be completely intuitive at first sight, we illustrate it by an explicit example.
Example 1.4**.**
For the -sequence coincides with the so-called Kakutani-Fibonacci sequence (see [CIV14]). We have
[TABLE]
and so on.
Theorem 1.5** (Carbone, [Car12]).**
If , then the corresponding -sequence has low-discrepancy.
Carbone’s proof is based on counting arguments but does not give explicit discrepancy bounds. These have been derived later by Iacò and Ziegler in [IZ15] using so-called generalized -sequences. A more general result implicating also the low-discrepancy of -sequences can be found in [AH13].
Theorem 1.6**.**
[Iacò, Ziegler, [IZ15], Theorem 1, Section 3] If is an -sequence with then
[TABLE]
where
[TABLE]
with
[TABLE]
* and .*
It has been pointed out that for parameters and , the corresponding -sequence conincides with the classical van der Corput sequence, see e.g. [AHZ14].111If the reader is not familiar with the Definition of van der Coruput sequences, he may consult [Nie92], Section 3.1. However, for higher values of it has been not been proved if -sequences indeed yield a new family of examples of low-discrepancy sequences or are just a new formulation of some of the well-known ones. We close this gap to a certain extent by showing the following main result:
Theorem 1.7**.**
For , the -sequences is a reordering of the symmetrized Kronecker sequences . For the -construction neither yields a (re-)ordering of a van der Corput sequence nor of a (symmetrized) Kronecker sequence.
Let us make the notion of symmetrized Kronecker sequences more precise: given , let denote the fractional part of . A (classical) Kronecker sequence is a sequence of the form . If and has bounded partial quotients in its continued fraction expansion (see Section 2) then has low-discrepancy ([Nie92], Theorem 3.3). By a symmtrized Kronecker sequence we simply mean a sequence indexed over of the form with ordering
[TABLE]
Note that it is still open, whether for an -sequence is a reordering of some other well-known low-discprancy sequence such as a digital-sequence or if the -construction really yields a new class of examples.
Our approach does not only give a significantly shorter proof of low-discrepancy of -sequences for but also improves the known discrepancy bounds by Iacó and Ziegler in this case.
Corollary 1.8**.**
For the discrepancy of the -sequence is bounded by
[TABLE]
where .
Corollary 1.8 indeed improves the discrepancy bounds for -sequences given in Theorem 1.6 in the specific case . Both results yield inequalities of the type
[TABLE]
For instance, if then Corollary 1.8 implies and while according to Theorem 1.6 the discrepancy can be bounded by and . The difference between the two results gets the more prominent the larger is: If and we get and while Theorem 1.6 only implies and .222We obtain different numerical values than in [IZ15]. We checked our result on different computer algebra systems.
2 Proof of the main results
Continued fractions.
Recall that every irrational number has a uniquely determined infinite continued fraction expansion
[TABLE]
where the are integers with and for all . The sequence of convergents of is defined by
[TABLE]
The convergents with can also be calculated directly by the recurrence relation
[TABLE]
Remark 2.1**.**
If , then or equivalently
[TABLE]
holds. Thus it follows that in the continued fraction expansion of for all .
From now on the continued fraction expansion of is studied and it is always tacitly assumed, that the ’s are the denominators of the convergents of .Although the proof of the following lemma is rather obvious we write it down here explictly because our proof of the main theorem is based on this arithmetic observation.
Lemma 2.2**.**
Let . If then we have
- (i)
.
- (ii)
**
Proof.
We prove both claims by induction.
(i) The identity is trivial for . So we come to the induction step
[TABLE]
(ii) The proof works analogously as in (i). We have and
[TABLE]
∎
Example 2.3**.**
Consider the Kakutani-Fibonacci sequence from Example 1.4. If we denote by the Fibonacci sequence, i.e. the sequence inductively defined by and for , we have that for all .
If , then we can furthermore deduce from Definition 1.3 that and that . Starting from we split the -sequence into consecutive blocks where the first block is of length and the -th block for is of length . We now study the blocks
[TABLE]
Lemma 2.4**.**
Let .
- (i)
If is odd, then considered as a set consists of the elements (respectively of the element [math] if ).
- (ii)
If is even, then considered as a set consists of the elements .
Before going into the rather technical details of the proof, let us explain its idea for the example of the Kakutani-Fibonacci sequence (). This sequence of points is given by
[TABLE]
Using this can be easily re-written as
[TABLE]
Proof.
The two assertions are proved simultaneously by induction on . For the claim is obvious from definition, since and . Let and be odd. If we denote by equivalence modulo we have for by Lemma 2.2 and induction hypothesis
[TABLE]
with and and . Thus it follows that
[TABLE]
Since the sequence is injective, the claim follows for odd . So let be even. Then we use again Lemma 2.2 and induction hypothesis to derive
[TABLE]
with and and . This completes the induction since
[TABLE]
∎
Proof of Theorem 1.7.
If the -sequence is indeed a reordering of the symmetrized Kronecker sequence by Lemma 2.4. So let and . Then is irrational and the recurrence relation
[TABLE]
holds. Hence the -sequence cannot be a reordering of a van der Corput sequence (which consists only of rational number).
Now assume that the -sequence is the reordering of a (possibly symmetrized) Kronecker sequence for some . Since itself has to be an element of the -sequence, there exists an such that can be uniquely written in the form
[TABLE]
with for and . By (1) we have the equality with and . Thus, itself can be rewritten as with and . However, , which is an element of the -sequence, cannot be an element of since , where at least one of and has denominator . This is a contradiction. ∎
A main advantage of the approach via symmetrized Kronecker sequence is that it yields a possibility to calculate improved discrepancy bounds, namely Corollary 1.8.
Proof of Corollary 1.8.
We imitate the proofs in [Nie92], Theorem 3.3 and [KN74], Theorem 3.4 respectively and leave away here the technical details that are explained therein very nicely: The number can be represented in the form
[TABLE]
where is the unique non-negative integer with and where the are integers with . Let denote the set consisting of the first numbers of the -sequence. We decompose into blocks of consecutive terms, namely blocks of length for all . Consider a block of length and denote the corresponding point set by . If is odd, consists of the fractional parts with according to Lemma 2.4. As shown in the proof of [Nie92], Theorem 3.3., this point set has discrepancy
[TABLE]
If is even, consists of the fractional parts with again by Lemma 2.4. Since and have the same continued fraction expansion up to signs, we also have
[TABLE]
Analogous calculations as in [KN74] then yield the assertion. ∎
Asymptotically we deduce the following behaviour, again improving the more general result of [IZ15] in the special case .
Corollary 2.5**.**
If , then we obtain
[TABLE]
as .
Finally, we would like to point out the fact that it follows immediately from our approach that the Kakutani-Fibonacci sequence is the reordering of an orbit of an ergodic interval exchange transformation. In [CIV14], it was shown that a much more complicated interval exchange transformation is necessary in order to get the original ordering given in Definition 1.3.
Corollary 2.6**.**
For , the -sequence is always a reordering of an orbit of an ergodic interval exchange transformation.
Proof.
The map , the rotation of the circle by , is ergodic for , see e.g. [EW11], Example 2.2. Moreover, it is an interval exchange transformation, compare e.g. [Via06]. ∎
Acknowledgments.
The author thanks Soumya Bhattacharya, Anne-Sophie Krah, Zoran Nikolić and Florian Pausinger for their comments on an earlier version of this paper. Furthermore, I am grateful to the referee for his suggestions.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[AH 13] Aistleitner, C., Hofer, M.: “Uniform distribution of generalized Kakutani’s sequences of partitions“, Ann. Mat. Pura Appl. 192 (4), 529–538 (2013).
- 2[AHZ 14] Aistleitner, C., Hofer, M., Ziegler, V.: “On the uniform distribution modulo 1 of multidimensional L S 𝐿 𝑆 LS -sequences“, Ann. Mat. Pura Appl. (4) 193, no. 5, 1329–1344 (2014).
- 3[Car 12] Carbone, I.: “Discrepancy of L S 𝐿 𝑆 LS -sequences of partitions and points”, Ann. Mat. Pura Appl. 191, 819–844 (2012).
- 4[CIV 14] Carbone, I., Iacò M., Volčič, A.: “A dynamical systems approach to the the Kakutani-Fibonacci sequence”, Ergodic Th. & Dynam. Sys., 1794–1806 (2014).
- 5[CV 07] Carbone, I., Volčič, A.: “Kakutani’s splitting procedure in higher dimension”, Rend. Ist. Mathem. Univ. Trieste, XXXIX: 1–8 (2007).
- 6[DI 12] Drmota, M., Infusino, M.: “On the discrepancy of some generalized Kakutani’s sequences of partitions”, Unif. Distrib. Theory 7 (1), 75–104 (2012).
- 7[EW 11] Einsiedler, M., Ward, T.: “Ergodic Theory”, Springer, Berlin (2011).
- 8[IZ 15] Iacò, M., Ziegler, V.: “Discrepancy of generalized L S 𝐿 𝑆 LS -sequences”, ar Xiv:1503.07299 (2015).
