Union of Two Arithmetic Progressions with the Same Common Difference Is Not Sum-dominant
Hung Viet Chu

TL;DR
This paper proves that the union of two arithmetic progressions with the same common difference is not sum-dominant, improves bounds on the size of sum-dominant subsets, and investigates partitioning properties related to sum-dominance.
Contribution
It establishes that such unions are not sum-dominant, refines the minimal size of sum-dominant sets, and bounds the threshold for partitioning sets into sum-dominant subsets.
Findings
Union of two arithmetic progressions with same difference is not sum-dominant.
Sum-dominant sets in an arithmetic progression have size constraints: at least 7 elements.
Threshold R for partitioning into sum-dominant subsets is between 24 and 145.
Abstract
Given a finite set , define the sum set and the difference set The set is said to be sum-dominant if . We prove the following results. 1) The union of two arithmetic progressions (with the same common difference) is not sum-dominant. This result partially proves a conjecture proposed by the author in a previous paper; that is, the union of any two arbitrary arithmetic progressions is not sum-dominant. 2) Hegarty proved that a sum-dominant set must have at least elements with computers' help. The author of the current paper provided a human-verifiable proof that a sum-dominant set must have at least elements. A natural question is about the largest cardinality of sum-dominant subsets of an arithmetic progression. Fix . Let be the cardinality of…
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Taxonomy
TopicsLimits and Structures in Graph Theory · Analytic Number Theory Research · Advanced Graph Theory Research
**UNION OF TWO ARITHMETIC PROGRESSIONS WITH THE SAME COMMON DIFFERENCE IS NOT SUM-DOMINANT
Hùng Việt Chu
**
Received: , Revised: , Accepted: , Published:
Abstract
Given a finite set , define the sum set
[TABLE]
and the difference set
[TABLE]
The set is said to be sum-dominant if . We prove the following results
The union of two arithmetic progressions (with the same common difference) is not sum-dominant. This result partially proves a conjecture proposed by the author in a previous paper; that is, the union of any two arbitrary arithmetic progressions is not sum-dominant. 2. 2.
Hegarty proved that a sum-dominant set must have at least elements with computers’ help. The author of the current paper provided a human-verifiable proof that a sum-dominant set must have at least elements. A natural question is about the largest cardinality of sum-dominant subsets of an arithmetic progression. Fix . Let be the cardinality of the largest sum-dominant subset(s) of that contain(s) [math] and . Then ; that is, from an arithmetic progression of length , we need to discard at least and at most elements (in a clever way) to have the largest sum-dominant set(s). 3. 3.
Let have the property that for all , can be partitioned into sum-dominant subsets, while cannot. Then . This result answers a question by the author et al. in another paper on whether we can find a stricter upper bound for .
2010 Mathematics Subject Classification: Primary 11P99.
*Keywords: *sum-dominant set, MSTD set, arithmetic progression.
1 Introduction
1.1 Background and main results
Given a finite set , define and . The set is said to be
- •
sum-dominant, if ;
- •
balanced, if ; and
- •
difference-dominant, if .
Because addition is commutative, while subtraction is not, sum-dominant sets are very rare. However, it was first proved by Martin and O’Bryant [13] that as , the proportion of sum-dominant subsets of is bounded below by a positive constant (about ), which was later improved by Zhao [25] to about . However, these works used the probabilistic method and did not give explicit constructions of sum-dominant sets. Later, Miller et al. [15] constructed a family of density 111A more refined analysis improves the bound to [11]. and Zhao [24] gave a family of density . The last few years have seen an explosion of papers exploring properties of sum-dominant sets: see [7, 10, 12, 19, 20, 21, 22] for history and overview, [8, 14, 15, 19, 24] for explicit constructions, [5, 9, 13, 25] for positive lower bounds for the percentage of sum-dominant sets, [11, 16] for generalized sum-dominant sets, and [1, 4, 6, 17, 25] for extensions to other settings.
We know that numbers from an arithmetic progression do not form a sum-dominant set. (We prove in the next section.) It is natural to ask whether numbers from the union of several arithmetic progressions produce a sum-dominant set. Our first result is that the union of two arithmetic progressions with the same common difference is not sum-dominant.
Theorem 1.1**.**
The union of two arithmetic progressions and (with the same common difference) is not sum-dominant.
This result partially proves the conjecture by the author of the current paper [2] that the union of any two arbitrary arithmetic progressions is not sum-dominant. (The author is motivated by the anonymous referee’s comment that the conjecture was marvelous and tantalizing.) Note that for is sum-dominant [19], and the set is the union of three arithmetic progressions. Hence, [2, Conjecture 17] is the most we can do.
Our next result concerns the cardinality of a sum-dominant set. Hegarty [8] proved that a sum-dominant set must have at least elements with the help of computers. The author of the current paper provided a human-understandable proof that a sum-dominant set must have at least elements [2, 3]. Another natural question is about the largest cardinality of a sum-dominant set. It is well-known that a sum-dominant set can be arbitrarily large, so we put a restriction on the size of the set to have the following result
Theorem 1.2**.**
Fix . Let be the cardinality of the largest sum-dominant subset(s) of that contain(s) [math] and . Then .
The theorem implies that from an arithmetic progression of length at least , we need to discard at least elements and not more than elements (in a clever way) to have the largest sum-dominant set(s). A corollary is that if we want to search for all sum-dominant subsets of , we only need to look for subsets of size between and .
Conjecture 1.3**.**
Fix . Let be the cardinality of the largest sum-dominant subset(s) of that contain(s) [math] and . Then .
We run a computer program to find that the conjecture holds for all . For , does not exist. For , , corresponding to the set ; that is, we discard elements.
Our final result is related to the partition of an arithmetic progression into sum-dominant subsets. Asada et al. proved that as , the proportion of -decompositions of into sum-dominant subsets is bounded below by a positive constant [1]. Continuing the work, the author of the current paper with Luntzlara, Miller, and Shao proved that it is possible to partition (for sufficiently large) into sum-dominant subsets. By defining to be the smallest integer such that for all , can be -decomposed into MSTD subsets, while cannot, the authors established rough lower and upper bounds for . However, the upper bound when is very loose because it depends on a sum-dominant subset with .
Theorem 1.4**.**
Let have the property that for , can be partitioned into sum-dominant subsets, while cannot. Then .
This theorem answers a question raised by the author of the current paper et al. about whether we can find a more efficient way to decompose into sum-dominant sets. We find a smaller upper bound by a new way of partitioning into sum-dominant subsets. Our construction is similar to that of Miller et al. [15] and utilizes the fact that their construction allows a long run of missing elements. The long run of missing elements is where we can insert a fixed sum-dominant set in.
1.2 Notation
We introduce some notation. Let and be sets. We write to mean the introduction of elements in to . We also use a different notation to write a set, which was first introduced by Spohn [23]. Given a set , we arrange its elements in increasing order and find the differences between two consecutive numbers to form a sequence. Suppose that , then our sequence is , and we represent , where . Any difference in must be equal to at least a sum for some . Take , for example. We arrange the elements in increasing order to have , , , , , form a sequence by looking at the difference between two consecutive numbers: , , , , and write . All information about a set is preserved in this notation.
An arithmetic progression is a sequence of the form for any arbitrary numbers , , and the common difference . Because sum-dominance is preserved under affine transformations, we can safely assume that our arithmetic progressions contain nonnegative numbers with being the common difference. To emphasize, all arithmetic progressions we consider will have nonnegative numbers and have the same common difference, which is .
2 Important Results
We use the definition of a symmetric set given by Nathanson [18]: a set is symmetric if there exists a number such that . If so, we say that the set is symmetric about . The following proposition was proved by Nathanson [18].
Proposition 2.1**.**
A symmetric set is balanced.
Proof.
Let be a symmetric set about . We have . Hence, is balanced. ∎
Though symmetric sets are not sum-dominant, adding a few numbers into these sets (in a clever way) can produce sum-dominant sets. Examples of such a technique were provided by Hegarty [8] and Nathanson [19].
Corollary 2.2**.**
A set of numbers from an arithmetic progression is not sum-dominant.
Note that a set of numbers from an arithmetic progression is symmetric about the sum of the maximum and the minimum of the arithmetic progression. For example, the set is symmetric about . The following lemma is proved by Macdonald and Street [14].
Lemma 2.3**.**
Given a finite set , the following claims hold.
- (1)
If for all , then is not sum-dominant.
- (2)
If and the first and last times that occurs as a difference, it occurs in a block of at least consecutive differences, then is not sum-dominant.
The following lemma is trivial but very useful in our proof of Theorem 1.1.
Lemma 2.4**.**
The following claims hold.
- (1)
Given an arithmetic progression , gives new sums.
- (2)
Given arithmetic progressions and , gives at most new sums.
Proof.
We first prove item 1. Without loss of generality, assume for some . Denote . Then and . Clearly, .
We proceed to prove item 2. New sums come from the interactions of with , with , and with itself. By item 1, the interactions of with and itself give at most new sums. We consider the interactions of with . We have
[TABLE]
Therefore, the interactions of with gives at most new sum. In total, we have at most new sums, as desired. ∎
3 Proof of Theorem 1.1
Because sum-dominance is preserved under affine transformations, without loss of generality, assume that and . Let and denote and , respectively. Finally, we only consider because if , is an arithmetic progression222Recall that and have the same common difference., which does not form a sum-dominant set by Corollary 2.2. Our proof considers as the original set and sees how changes the number of sums and differences.
3.1 Part I.
Let . If , is an arithmetic progression, not a sum-dominant set. We consider two cases corresponding to and .
Case I.1: . We consider . The set of new positive and distinct differences includes
[TABLE]
Hence, the number of new differences is at least . Now, we count the number of new sums. Consider . We have at most new sums. Due to Lemma 2.4, gives at most new sums for all . Therefore, gives at most
[TABLE]
new sums.
Because , we have
[TABLE]
and so, we do not have a sum-dominant set.
Case I.2: . If is not a multiple of , then with the same reasoning as Case I.1, we are done. If is a multiple of , we consider two following subcases.
Subcase I.2.1: . Then gives new positive differences
[TABLE]
while at most new sums. Due to Lemma 2.4, gives at most new sums and at least new differences for all . Therefore, gives at most new sums while at least new differences. Because , the number of new differences is not smaller than the number of new sums, and so, is not sum-dominant.
Subcase I.2.2: . If , we are done due to item 2 Lemma 2.3. So, we consider . Consider . By [2, Proposition 7], gives new differences and new sums. Due to Lemma 2.4, gives at most new sums and new differences for all . The total number of new sums is at most , while the number of new differences is at least . We have
[TABLE]
Hence, is not sum-dominant.
3.2 Part II.
If , we consider . Because the difference between any two consecutive numbers in increasing order is either or , by item 1 Lemma 2.3, we do not have a sum-dominant set. Hence, we assume that . Suppose that for some . The following are new and pairwise distinct positive differences from
[TABLE]
Hence, we have at least new differences. On the other hand, gives at most new sums. Due to Lemma 2.4, gives at most new sums and at least new differences for all . Hence, the total number of new sums as a result of is at most
[TABLE]
while the number of new differences is at least
[TABLE]
Because , we have
[TABLE]
Therefore, is not sum-dominant.
We finish our proof.
4 Proof of Theorem 1.2
Lemma 4.1**.**
For , the set
[TABLE]
is sum-dominant. Note that is a sum-dominant subset of after we discard numbers from the arithmetic progression.
Proof.
Observe that , while . Hence, . ∎
We now prove Theorem 1.2. Fix . Let be the cardinality of the largest sum-dominant subset(s) of . Lemma 4.1 proves the lower bound for in Theorem 1.2; that is, . We proceed to show that .
If , we have the arithmetic progression , which is not sum-dominant.
If , we do not have a sum-dominant set due to item 1 Lemma 2.3.
If , we have two cases. If the two missing numbers are not next to each other, we do not have a sum-dominant set due to item 1 Lemma 2.3. If the two missing numbers are next to each other, we do not have a sum-dominant set due to Theorem 1.1.
If , we have three cases.
Case 4.1: If the three missing numbers are consecutive, then we do not have a sum-dominant set due to Theorem 1.1. 2. 2.
Case 4.2: If no two numbers are next to each other, then we do not have a sum-dominant set due to item 1 Lemma 2.3. 3. 3.
Case 4.3: Two numbers are next to each other, while the other is not next to any of these numbers. Let the two numbers that are next to each other be and for some . Without loss of generality, assume that the third number is such that .
- (a)
If , we have the set , which is not sum-dominant due to item 1 Lemma 2.3. 2. (b)
If , we are back to the case . 3. (c)
Suppose that and . We have all differences in by looking at . If we do not have any missing differences, then we are done.
If , because and we miss only numbers, it must be that we have three consecutive numbers in our set. So, we have differences of and , and so, and are in the difference set. Hence, we miss at most differences, which are . However, we also miss at least sums, which are and . Therefore, we do not have a sum-dominant set.
If , then is in our set. We have by looking at and by looking at . Because and we miss only numbers, it must be that we have three consecutive numbers in our set. So, we have a difference of , and so, is in the difference set. We are done.
If , then and are in our set. We have by looking at , by looking at , and by looking at . We are done.
5 Proof of Theorem 1.4
We will use the construction discussed in [4, Theorem 1.1] to partition into sum-dominant subsets. Following the construction, we fix and set
[TABLE]
Note that in [4, Theorem 1.1], and . Pick . Set
[TABLE]
Let such that within , there exists a sequence of pairs of consecutive elements, where consecutive pairs are not more than apart and the sequence starts with a pair in and ends with a pair in . Let such that within , there exists a sequence of triplets of consecutive elements, where consecutive triplets are not more than apart and the sequence starts with a triplet in and ends with a triplet in . Also, and . Then
[TABLE]
are both sum-dominant and along with partition .
Example 5.1**.**
Let . Set
[TABLE]
We partition into three following sum-dominant sets
[TABLE]
Example 5.1 proves the upper bound of for in our Theorem 1.4.
6 Future Research
We end with a list of questions for future research.
- •
Is Conjecture 1.3 correct?
- •
Is Conjecture [2, Conjecture 17] correct?
- •
Is it true that for every fixed , as , the proportion of -decompositions of into sum-dominant subsets is bounded below by a positive constant?
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] M. Asada, S. Manski, S. J. Miller, and H. Suh, Fringe pairs in generalized MSTD sets , International Journal of Number Theory 13 (2017), 2653–2675.
- 2[2] H. V. Chu, When sets are not sum-dominant , Journal of Integer Sequences 22 (2019).
- 3[3] H. V. Chu, Sets of cardinality 6 6 6 are not sum-dominant , preprint (2019).
- 4[4] H. V. Chu, N. Luntzlara, S. J. Miller, and L. Shao, Infinite families of partitions into MSTD subsets , preprint (2018).
- 5[5] H. V. Chu, N. Luntzlara, S. J. Miller, and L. Shao, Generalizations of a curious family of MSTD sets hidden by interior blocks , preprint (2018).
- 6[6] H. V. Chu, N. Mc New, S. J. Miller, V. Xu, and S. Zhang, When sets can and cannot have sum-dominant subsets , Journal of Integer Sequences 18 (2018).
- 7[7] G. A. Freiman and V. P. Pigarev, Number Theoretic Studies in the Markov Spectrum and in the Structural Theory of Set Addition , Kalinin. Gos. Univ., Moscow, 1973.
- 8[8] P. V. Hegarty, Some explicit constructions of sets with more sums than differences , Acta Arithmetica 130 (2007), 61–77.
