On a bounded remainder set for a digital Kronecker sequence
Mordechay B. Levin

TL;DR
This paper characterizes when certain rectangular sets are bounded remainder sets for digital Kronecker sequences, linking this property to the finiteness of the non-zero digits in the base-b expansion of the set boundaries.
Contribution
It provides a necessary and sufficient condition for rectangular sets to be bounded remainder sets in digital Kronecker sequences, connecting this to the digit expansion of the set boundaries.
Findings
Rectangular sets are bounded remainder sets iff their boundary digits are finitely many.
The characterization applies to digital Kronecker sequences in any base b ≥ 2.
The result extends understanding of distribution properties of digital sequences.
Abstract
Let be a sequence of points in . A subset of is called a bounded remainder set if there exist two real numbers and such that, for every integer , Let be an dimensional digital Kronecker-sequence in base , , with -adic expansion\\ , . In this paper, we prove that is the bounded remainder set with respect to the sequence if and only if \begin{equation} \nonumber \max_{1 \leq i \leq s} \max \{ j \geq 1 \; | \; \gamma_{i,j} \neq 0 \} < \infty. \end{equation}
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
Topicsadvanced mathematical theories · Digital Image Processing Techniques
On a bounded remainder set for a digital Kronecker sequence
Mordechay B. Levin
Abstract
Let be a sequence of points in . A subset of is called a bounded remainder set if there exist two real numbers and such that, for every integer ,
[TABLE]
Let be an dimensional digital Kronecker-sequence in base , , with -adic expansion
, . In this paper, we prove that is the bounded remainder set with respect to the sequence if and only if
[TABLE]
Key words: bounded remainder set, digital Kronecker sequence.
2010 Mathematics Subject Classification. Primary 11K38.
1 Introduction
1.1. Discrepancy. Let be a sequence of points in , ,
[TABLE]
where , and if . Here denotes the -dimensional Lebesgue-measure of . We define the star discrepancy of an -point set as
[TABLE]
where . The sequence is said to be uniformly distributed in if .
In 1954, Roth proved that According to the well-known conjecture (see, e.g., [BeCh, p.283]), this estimate can be improved to . See [Bi] and [Le1] for the results on this conjecture.
An -dimensional sequence is of low discrepancy (abbreviated l.d.s.) if for . For examples of l.d.s. see, e.g., in [BeCh], [DiPi], [Ni].
1.2. Digital Kronecker sequence.
For an arbitrary prime power , let be the finite field of order , , . Let be the set of all polynomials over , and let be the field of formal Laurent series. Every element of has a unique expansion into a formal Laurent series
[TABLE]
The discrete exponential evaluation of is defined by
[TABLE]
Furthermore, we define the “fractional part“ of by
[TABLE]
We choose bijections with , and for and we choose bijections . For n = 0, 1, …, let
[TABLE]
be the digit expansion of in base , where for and for all sufficiently large .
With every n = 0, 1, . . ., we associate the polynomial
[TABLE]
and if is as in (1.3), then we define
[TABLE]
In [Ni], Niederreiter introduced a non-Archimedean analogue of the classical Kronecker sequences. For every -tuple of elements of , we define the sequence by
[TABLE]
This sequence is sometimes called a digital Kronecker sequence (see [LaPi, p.4]). In analogy to classical Kronecker sequences, in [LaNi, Theorem 1], the following theorem has been proven
Theorem A. *A digital Kronecker sequence is uniformly distributed in if and only if are linearly independent over .
By we denote the normalized Haar-measure on and by the -fold product measure on . In [La1], Larcher proved the following metrical upper bound on the star discrepancy of digital Kronecker sequences . For -almost all , .
In [LaPi, p.4], Larcher and Pillichshammer were able to give corresponding metrical lower bounds for the discrepancy of digital Kronecker sequences for -almost all , for infinitely many with some not depending on N.
1.3. Bounded remainder set.
Definition 1. *Let be a sequence of point in . A subset of is called a bounded remainder set for if the discrepancy function is bounded in .
Let be an irrational number, let I be an interval in with the length , let be the fractional part of , . Hecke, Ostrowski and Kesten proved that is bounded if and only if for some integer (see references in [GrLe]).
The sets of bounded remainder for the classical -dimensional Kronecker sequence were studied by Lev and Grepstad [GrLe]. The case of Halton’s sequence was studied by Hellekalek [He]. For references to others investigations on bounded remainder set see [GrLe].
Let , with -adic expansion , . In this paper, we prove
Theorem. *Let be a uniformly distributed digital Kronecker sequence. The set is of bounded remainder with respect to if and only if *
[TABLE]
In [Le2], we proved similar results for digital sequences described in [DiPi, Sec. 8]. Note that according to Larcher’s conjecture [La2, p.215], the assertion of the Theorem is true for all digital -sequences in base .
2 Notations.
A subinterval of of the form
[TABLE]
with for is called an elementary interval in base .
Definition 2. Let be integers. A -net in base * is a point set in such that for every elementary interval E in base with .
*Definition 3. ([DiPi, Definition 4.30]) *For a given dimension , an integer base , and a function with for all , a sequence of points in is called a -sequence in base if for all integers and , the point set consisting of the points forms a -net in base .
A -sequence in base is called a strict -sequence in base if for all functions with for all and with for at least one , it is not a -sequence in base .
Definition 4. ([DiNi, Definition 1]) Let be integers. Let be matrices over . Now we construct points in . For , let be the -adic expansion of . For we choose bijections with , and for and we choose bijections . We map the vectors
[TABLE]
to the real numbers
[TABLE]
to obtain the point
[TABLE]
The point set is called a digital net (over ) (with generating matrices ).
For , we obtain a sequence of points in which is called a digital sequence over with generating matrices .
We abbreviate as for and for .
Lemma A ([LaNi, ref. 1-8]). *A digital Kronecker sequence in base can be expressed as some digital -sequence in base .
*Lemma B ([DiPi, Theorem 4.86]). *Let be a prime power. A strict digital -sequence over is uniformly distributed modulo one, if and only if .
For , we put and . For , where , we define the truncation
[TABLE]
If , then the truncation is defined coordinatewise, that is, .
For and where , we define the (-adic) digital shifted point by , where and . For and , we define the (-adic) digital shifted point by . For , we define .
For , where , and , we define the absolute valuation of by . Let for .
Definition 5. A sequence in is weakly admissible in base if
[TABLE]
Let be a prime, ,
[TABLE]
where denotes the usual trace of an element of in .
Let
[TABLE]
By [LiNi, ref. 5.6 and ref. 5.8], we get
[TABLE]
3 Proof
Lemma 1. Let be a weakly admissible digital sequence in base , , . Then we have for all integers
[TABLE]
Proof. Let
[TABLE]
It is easy to see that . By (1.1), we get
[TABLE]
[TABLE]
Hence
[TABLE]
[TABLE]
Suppose that there exist , and such that . Therefore
[TABLE]
From (1.5), (2.1) and (2.2), we have
[TABLE]
[TABLE]
Hence
[TABLE]
Therefore
[TABLE]
By (2.3) we have a contradiction. Thus
[TABLE]
Using (3.1), we get the assertion of Lemma 1.
Let be a basis of , and let be a standard trace function. Let
[TABLE]
We use notations (1.5), (2.1) and (2.2). Let be the -adic expansion of , and let
[TABLE]
Therefore
[TABLE]
Hence
[TABLE]
and
[TABLE]
Let
[TABLE]
Bearing in mind that , we put
[TABLE]
Let
[TABLE]
We abbreviate -dimensional vectors , and by symbols , and , and -dimensional vectors , by symbols and .
[TABLE]
Let , , , with ,
[TABLE]
Similarly to [Ni, Theorem 3.10] (see also [DiPi, Lemma 14.8]), we consider the following Fourier series decomposition of the discrepancy function :
Lemma 2. Let be an integer, , , and let be a digital sequence in base . Then
[TABLE]
[TABLE]
where
[TABLE]
, and
[TABLE]
Proof. Let , , with . It is easy to verify (see also [Ni, p. 37,38]) that
[TABLE]
By (2.2) and (3.6), we have that
[TABLE]
and
[TABLE]
[TABLE]
[TABLE]
Similarly, we derive
[TABLE]
Let . By (2.5), we have
[TABLE]
Hence
[TABLE]
Applying (3.12) and (3.14), we derive
[TABLE]
Hence
[TABLE]
Similarly, we obtain from (3.12) and (3.13) that
[TABLE]
Using (3.11), we obtain
[TABLE]
Bearing in mind that and , we have
[TABLE]
From (3.15) and (1.1), we derive
[TABLE]
[TABLE]
Hence Lemma 2 is proved.
Let
[TABLE]
[TABLE]
, and let
[TABLE]
It is easy to see that
[TABLE]
Lemma 3. Let be a digital sequence in base . Then
[TABLE]
Proof. By (3.12) we have . Applying Lemma 2, we get
[TABLE]
Using (3.3), (3.6) and (3.9), we obtain
[TABLE]
Now from (3.4), we get (3.18). Hence Lemma 3 is proved.
Lemma 4. *Let be a digital sequence in base . Then *
[TABLE]
Proof. Using (3.6) and (3.8) and (3.11) , we have
[TABLE]
[TABLE]
where
[TABLE]
By (3.4), (1.5) and (2.5), we obtain
[TABLE]
Now from (3.16), we get that and Lemma 4 follows.
Let
[TABLE]
[TABLE]
[TABLE]
We consider the following conditions :
[TABLE]
and
[TABLE]
for some finite set .
Bearing in mind (3.6), we get
[TABLE]
Lemma 5. Let be a weakly admissible uniformly distributed digital -sequence in base , satisfying to (3.22) for all with some . Then (3.23) is true for .
Proof. By (3.21) and (2.5), we obtain
[TABLE]
[TABLE]
Using (3.18), we derive
[TABLE]
[TABLE]
It is easy to see that if condition (3.22) is true, than and .
Applying (3.21), (3.25), (3.26) and (3.23) with , we have
[TABLE]
[TABLE]
[TABLE]
Let . From (1.5), we obtain .
By (3.3) - (3.9), we get . Hence
[TABLE]
We get .
From (3.8), we have and
[TABLE]
Taking into account (2.5), we get
[TABLE]
Hence . Using Lemma 4, we obtain
[TABLE]
Therefore Lemma 5 is proved.
Let be a set of all bijections , , , , , and let
[TABLE]
[TABLE]
with , , , , , ,
, .
Lemma 6. With the notations as above, there exist , , such that
[TABLE]
and
[TABLE]
Proof. Let
[TABLE]
Taking into account that , we get .
Let
[TABLE]
and let . By (3.27), we derive
[TABLE]
Suppose that (3.29) is not true. Then for all there exist and such that
[TABLE]
Hence . Suppose that for some , . Hence . Bearing in mind that for all , we get a contradiction. Therefore for all , . Thus . Hence
[TABLE]
We have a contradiction. Therefore (3.29) is true.
Now we consider assertion (3.30). If , then and (3.30) follows.
Now let . By (3.27), we have
[TABLE]
Using (2.5), we get
[TABLE]
[TABLE]
Taking into account that , we obtain
[TABLE]
Now from (3.31), we derive
[TABLE]
and (3.30) follows. Thus Lemma 6 is proved.
Applying (3.28) - (3.30), we have
Corollary. Let be integers chosen in Lemma 6 and let , , with some . Then
[TABLE]
and
[TABLE]
Lemma 7. *Let be a digital sequence in base and let be an integer. Then there exists such that , , and *.
Proof. From (3.3)-(3.8), (3.16) and (3.20), we get that if and only if
[TABLE]
We put , for and , for . Hence (3.34) is true if and only if
[TABLE]
Therefore, in order to obtain the statement of the lemma, it is sufficient to show that there exists a nontrivial solution of the following system of linear equations
[TABLE]
In this system, we have unknowns , and linear equations. Hence there exists a nontrivial solution of (3.36). By (3.36), we get that if , then . Hence and . Taking into account that if then for all . Therefore there exists such that and . Thus Lemma 7 is proved.
Proposition. *Let be a weakly admissible uniformly distributed digital -sequence in base , satisfying to (3.22) for all . Then is of bounded remainder with respect to if and only if (1.9) is true.
*Proof. The sufficient part of the Theorem and of the Proposition follows directly from the definition of sequence and Lemma B. We will consider only the necessary part of the Theorem and of the Proposition.
Suppose that (1.9) does not true. Then
[TABLE]
Let, e.g.,
[TABLE]
Let
[TABLE]
Bearing in mind that , we obtain that .
Suppose that there exists such that , ,
[TABLE]
with , .
Let and let
[TABLE]
We choose and from the following conditions
[TABLE]
Applying Lemma 1 and (3.38), we have
[TABLE]
By Lemma 7, we get that there exists a sequence such that
[TABLE]
[TABLE]
We see that the sequence does not depend on .
Using (3.37) and (3.39), we obtain . Hence
[TABLE]
. Let if
[TABLE]
for all , and let if there exist such that (3.44) is false. Let be integers chosen in Lemma 6 and let
[TABLE]
From Lemma 5, (3.21), (3.23), (3.41) and conditions of the Proposition, we have
[TABLE]
Taking into account (3.17), (3.42) and (3.44), we get that if then for , and if , , then for all .
According to (3.11), (3.12) and (3.46), we have
[TABLE]
[TABLE]
From Corollary and (3.45), we obtain
[TABLE]
By (3.43), we can apply Corollary with . Hence
[TABLE]
Using (3.46)-(3.47) and (3.40), we obtain
[TABLE]
[TABLE]
Suppose that . From (3.40) and (3.42), we get
[TABLE]
We have a contradiction. Now let .
By (3.44), we obtain that there exist such that , and .
According to (3.39) and (3.42), we have
[TABLE]
Applying (3.38), (3.41) and (3.48), we get
[TABLE]
with . We have a contradiction. By (3.49), the Proposition is proved.
Completion of the proof of the Theorem. By Lemma A, is a uniformly distributed digital -sequence in base .
By Theorem A, we get that are linearly independent over . Hence are linearly independent over . Let , and let (see (1.8)) with
[TABLE]
Using Theorem A, we obtain that is a uniformly distributed sequence in . Therefore, for all there exists an integer with
[TABLE]
Thus satisfies the condition (3.22).
Bearing in mind that are linearly independent over , we get that for all . Hence for all . Therefore the sequence is weakly admissible.
Applying the Proposition, we get the assertion of the Theorem.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[Be Ch] Beck, J.; Chen, W. W. L., Irregularities of Distribution, Cambridge Univ. Press, Cambridge, 1987.
- 2[Bi] Bilyk, D., On Roth’s orthogonal function method in discrepancy theory, Unif. Distrib. Theory, 6 (2011), no. 1, 143-184.
- 3[Di Pi] Dick, J.; Pillichshammer, F., Digital Nets and Sequences, Discrepancy Theory and Quasi-Monte Carlo Integration, Cambridge University Press, Cambridge, 2010.
- 4[Gr Le] Grepstad, S.; Lev, N., Sets of bounded discrepancy for multi-dimensional irrational rotation, Geom. Funct. Anal. 25 (2015), no. 1, 87-133.
- 5[He] Hellekalek, P., Regularities in the distribution of special sequences, J. Number Theory, 18 (1984), no. 1, 41-55.
- 6[La 1] Larcher, G., On the distribution of an analog to classical Kronecker-sequences, J. Number Theory 52 (1995), no. 2, 198-215.
- 7[La 2] Larcher, G., Digital Point Sets: Analyis and Applications, Springer Lecture Notes in Statistics (138), pp. 167-222, 1998.
- 8[La Ni] Larcher, G.; Niederreiter, H. Kronecker-type sequences and non-Archimedean Diophantine approximations, Acta Arith. 63 (1993), no. 4, 379-396.
