Maximal $2$-distance sets containing the regular simplex
Hiroshi Nozaki, Masashi Shinohara

TL;DR
This paper characterizes and constructs maximal 2-distance sets in Euclidean space that include a regular simplex, revealing infinite families with specific size and dimension properties linked to prime powers.
Contribution
It provides a necessary and sufficient condition for extending regular simplices to 2-distance sets and constructs several maximal examples, including non-spherical sets with complex combinatorial structures.
Findings
Constructed infinite families of maximal 2-distance sets containing regular simplices.
Established a size formula for maximal 2-distance sets based on prime powers.
Identified the dimension of these sets as a function of the parameter s.
Abstract
A finite subset of the Euclidean space is called an -distance set if the number of distances between two distinct points in is equal to . An -distance set is said to be maximal if any vector cannot be added to while maintaining the -distance condition. We investigate a necessary and sufficient condition for vectors to be added to a regular simplex such that the set has only distances. We construct several -dimensional maximal -distance sets that contain a -dimensional regular simplex. In particular, there exist infinitely many maximal non-spherical -distance sets that contain both the regular simplex and the representation of a strongly resolvable design. The maximal -distance set has size , and the dimension is , where is a prime power.
| size | LRS ratio | added set | |
|---|---|---|---|
| 7 | 29 | 2 | (Largest 2-distance set in ) |
| 8 | 24 | 2 | Hadamard matrix of order |
| 8 | 30 | 2 | Largest 2-intersecting family |
| 8 | 45 | 2 | (Largest 2-distance set in ) |
| 23 | 144 | 3 | 2- design |
| 24 | 278 | 3 | 4- design |
| 26 | 280 | 3 | 4- design |
| 26 | 280 | 3 | The complement of 4- design |
| 31 | 110 | 3 | 3- design |
| 31 | 286 | 3 | The complement of 4- design |
| 48 | 302 | 3 | The complement of 4- design |
| 2- design |
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Taxonomy
TopicsMathematical Approximation and Integration · Digital Image Processing Techniques · Limits and Structures in Graph Theory
Maximal -distance sets containing the regular simplex
Hiroshi Nozaki and Masashi Shinohara
Abstract
A finite subset of the Euclidean space is called an -distance set if the number of distances between two distinct points in is equal to . An -distance set is said to be maximal if any vector cannot be added to while maintaining the -distance condition. We investigate a necessary and sufficient condition for vectors to be added to a regular simplex such that the set has only distances. We construct several -dimensional maximal -distance sets that contain a -dimensional regular simplex. In particular, there exist infinitely many maximal non-spherical -distance sets that contain both the regular simplex and the representation of a strongly resolvable design. The maximal -distance set has size , and the dimension is , where is a prime power.
0002010 Mathematics Subject Classification: 05D05 (05B05)
Hiroshi Nozaki: Department of Mathematics Education, Aichi University of Education, 1 Hirosawa, Igaya-cho, Kariya, Aichi 448-8542, Japan. [email protected]. Masashi Shinohara: Department of Education, Faculty of Education, Shiga University, 2-5-1 Hiratsu, Otsu, Shiga 520-0862, Japan. [email protected]
Key words: Maximal distance set, quasi-symmetric design.
1 Introduction
A finite subset of the Euclidean space is called an -distance set if , where
[TABLE]
and is the Euclidean distance of and . The size of an -distance set in is bounded above by [4, 8]. The major problem of -distance sets is to determine the largest possible -distance set for given dimension . Let . If the size of an -distance set in is at least , then
[TABLE]
is an integer, where [20]. This result for is proved by Larman–Rogers–Seidel [15]. The value is called the LRS ratio. The absolute value of the LRS ratio is not large for given dimension , namely [20]. Moreover, for given integers (), we can uniquely determine the distances () up to scale [20]. In particular, for , if we fix the integer , then we can determine for . The LRS ratio is one of useful parameters to characterize large -distance sets. There are only finitely many -distance sets whose size is at least [20]. Largest -distance sets are known for [10, 11, 16, 23, 24, 25, 26, 28].
There are large -distance sets on the sphere that are obtained from representations of association schemes [3, 5, 9]. In particular, the representations of the Johnson schemes of class 2 on points are largest -distance sets in of size except for and [13]. A systematic construction of non-spherical -distance sets is not known in the literature. One of ad hoc constructions is to add vectors to a non-maximal spherical -distance set while maintaining the -distance condition. Here an -distance set in is if there does not exist such that is still -distance. Maximal -distance sets for containing the representations of the Johnson schemes of class and the Hamming schemes of class are investigated in [6] and [1], respectively. In this paper, we consider -distance sets in that contain a -dimensional regular simplex. A largest -distance set in with 45 points [16] attains the bound , and it contains a -dimensional regular simplex.
Let be a -dimensional regular simplex with points. There are many choices of such that has only 2 distances. We suppose that the LRS ratio is an integer in order to find large 2-distance sets. First we prove that if a given LRS ratio is an integer, then there exist only finitely many dimensions where there exists a -distance set containing . For , the possible dimensions are . We classify largest -distance sets containing for . For , the possible dimensions are . In this case, we construct maximal -distance sets containing by adding the representation of a quasi-symmetric design, see Table 1. In particular, there exist infinitely many dimensions where there exists a maximal -distance set containing both and the representation of a strongly resolvable design.
2 Vectors that can be added to the regular simplex
In this section, we determine the form of a vector in that can be added to a fixed -dimensional regular simplex (the coordinates are fixed later) so that the number of distances are 2. Let be the standard basis of the Euclidean space . Let denote the affine space . Note that is isometric to . Let denote the set , which is interpreted as a -dimensional regular simplex in . The set is a 1-distance set with distance . We would like to consider a maximal -distance set in that contains .
Suppose there exists such that has only 2 distances , . For distinct , it follows that
[TABLE]
and . Let , and note that from . The vector must be an element of the set
[TABLE]
for , where , and
[TABLE]
For , , we have
[TABLE]
This implies and . It follows from that
[TABLE]
From , we have
[TABLE]
and the equality holds only if . By , it follows that for . Therefore we have the following.
Proposition 2.1**.**
Let , be integers with , . Let be defined to be
[TABLE]
Then, is an element of for some and satisfying the conditions above if and only if is a -distance set in .
We consider when 2 elements , of can be simultaneously added to while maintaining the -distance condition. Let for , . One has
[TABLE]
and Thus the following follows.
Proposition 2.2**.**
Let , , and be defined as above. Suppose , , and satisfy the condition from Proposition 2.1. Let be a subset of . Then, is a -distance set if and only if for any with .
From Proposition 2.2, we would like to construct a large 2-distance subset of with only particular distances and to obtain a large 2-distance subset of containing .
3 Maximal 2-distance sets that contain the regular simplex
From Section 2, a construction of large 2-distance subsets of gives large 2-distance sets in that contain the -dimensional regular simplex . However, if dimension is not small, it is a hard problem to construct large -distance sets. Indeed, is isometric to the Johnson association scheme , and largest -distance sets in are investigated in [7, 17]. There is no systematic construction of -distance sets in except for representations of association schemes. We suppose the LRS ratio is an integer in order to find large 2-distance sets.
Larman–Rogers–Seidel [15] proved that if a -distance set in has at least points, then for 2 distances with , there exists an integer such that and . The condition was improved to [18]. The integer is called the LRS ratio of a -distance set. We would like to construct a maximal -distance set with that contains the regular simplex. In the first part of this section, we prove that if a given LRS ratio is an integer, then there are only finitely many choices of . The following is the key theorem.
Theorem 3.1**.**
Let be the regular simplex . Let , where and . Suppose has only two distances for . Then the following follow.
Suppose and satisfy , namely the LRS ratio is . Then , , , and
[TABLE] 2.
Suppose and satisfy , namely the LRS ratio is . Then , , , , and
[TABLE]
Proof.
Since is a -distance set, can be expressed by and by Proposition 2.1.
(1) Suppose , namely . For , we have , which contradicts . For , we have
[TABLE]
which is transformed to . For , we have and , a contradiction. For , we have
[TABLE]
which is transformed to
[TABLE]
Since , we have
[TABLE]
for . For , we have , which contradicts (3.3).
(2) Suppose , namely . For , we have . It is transformed to , a contradiction. For , we have
[TABLE]
which contradicts . For , we have
[TABLE]
which is transformed to
[TABLE]
with . Since , we have
[TABLE]
for . For , we have , which contradicts (3.4). ∎
Corollary 3.2**.**
Let and be defined as in Theorem 3.1. Let be an integer at least 2, and . Then there exist only finitely many choices of such that is a -distance set with LRS ratio .
Proof.
Since is a -distance set, can be expressed by and by Proposition 2.1. By Theorem 3.1, satisfies (3.1) or (3.2). Since is an integer, can be divided by or . This implies the assertion. ∎
If the cardinality of a 2-distance set is at least , then the LRS ratio is an integer and there are only finitely many pairs by Corollary 3.2. The distances of a 2-distance subset of added to can be expressed by LRS ratio .
Lemma 3.3**.**
Let and be defined as in Theorem 3.1. Let with and .
Suppose . The set has only two distances , and the LRS ratio is an integer if and only if satisfies equation (3.1), , and . 2.
Suppose . The set has only two distances , and the LRS ratio is an integer if and only if satisfies equation (3.2), and .
Proof.
By Theorem 3.1 and Proposition 2.2, the assertion follows. ∎
Conditions (3.1) and (3.2) in Theorem 3.1 are quadratic in so there are at most two values of for fixed and . In the following lemma, we explicitly connect these two values.
Lemma 3.4**.**
Let and . Then holds. 2.
Let and . Then holds.
Proof.
By direct calculation, we can prove . ∎
We show an equivalent condition for 2 vectors and to be simultaneously added to .
Lemma 3.5**.**
Let and be defined as in Theorem 3.1. Let , and , where and .
Suppose . The set has only two distances , and the LRS ratio is an integer if and only if satisfies equation (3.1), , , and . 2.
Suppose . The set has only two distances , and the LRS ratio is an integer if and only if satisfies equation (3.2), , , and .
Proof.
(1) By direct calculations, the square of the distance between and is equal to . Since it should be or , the assertion follows.
(2) By direct calculations, the square of the distance between and is equal to . Since it should be or , the assertion follows. ∎
We give several maximal 2-distance sets containing with in the following subsections. From Lemmas 3.3 and 3.5, we know the exact values of distances of a subset of that can be added to . However it is hard to construct such a large subset especially for large . It is so far hopeless to classify maximal 2-distance sets that contain the regular simplex. For , since the dimension is not large, we can determine the largeset -distance set containing for each possible . For , we construct maximal -distance sets containing by adding the representation of a quasi-symmetric design.
3.1 LRS ratio , distances ()
By Theorem 3.1, . Since , are natural numbers, the possible are , , or . By Lemma 3.4, there are at most 2 choices of for given , in this case and for , and for . The set is identified with the Johnson scheme , which is the set of all -subsets of a -point set equipped with the distance . Here can be identified with a set of -vectors in with ones. When holds, we use instead of , where . We would like to find the largest subset of with considering Lemma 3.3. We use the notation as the subset of corresponding to .
For , we consider a subset of with . Since for any with , it follows that . This implies that , which is smaller than . Therefore, for , there does not exist a 2-distance set such that contains and .
For , we consider a subset of with . Since is impossible, we cannot add 2 vectors in to . This implies that , which is smaller than . Therefore, for , there does not exist a 2-distance set such that contains and .
For , we consider a subset of with . Let be a largest subset of with . The following lemma is used to determine .
Lemma 3.6**.**
Let be the Johnson scheme with distance function for . Let be a subset of . Suppose has only distance for some . If holds, then .
Proof.
Let be the hyperplane which is perpendicular to the all-ones vector and contains the origin. Let be the projection map from to defined by
[TABLE]
Since for with , we have , where is the usual inner product of . Note that is a -distance set in . If holds, then the central angle of any two vectors in is at most . Therefore is not the -dimensional regular simplex, which has central angle . This implies . ∎
If has only distance , then by Lemma 3.6, and hence . Therefore, there are such that . Without loss of generality, let . If the last entry of a vector is 1, then and are not in simultaneously. This implies that can be identified with a subset of . Since there does not exist with such that or , the graph with is bipartite. A partite set of is a subset of that has only distance . Since can be identified with a subset of , we have by Lemma 3.6. Therefore is largest, where
[TABLE]
and
[TABLE]
These sets are obtained from the Hadamard matrix of order 8, and the set is unique up to permutations of coordinates. The set can be identified with a subset of . Each point in has the last coordinate . Let be the point that has the last coordinate , namely
[TABLE]
The set is a maximal -distance set with 24 points. This 2-distance set is largest for since at most 1 point in can be added to as proved above.
3.2 LRS ratio , distances ()
By Theorem 3.1, . Since , are natural numbers, the possible are , , or . Here and for , and for . We would like to find the largest subset of with considering Lemma 3.3.
For , we consider a subset of with . The subset is a 1-intersecting family and the size of is at most 21 [12, 29]. Here is a -intersecting family if for any . The unique largest set is , up to permutations of coordinates [12, 29]. The set is a maximal 2-distance set with points. Indeed, is largest in all -distance sets in [10].
For , we consider a largest subset of with . In this case, . The set , whose size is 45, is largest in all -distance sets in [16].
For , we consider a subset of with . Since is a -intersecting family, the unique largest set is [2]. The set can be identified with a subset of . Each point cannot be added to while maintaining the -distance condition. Therefore is a maximal -distance set with points.
The largest 2-distance set that contains with at least points are summarized as follows.
Theorem 3.7**.**
Let be the largest 2-distance set in that contains with distances and , where is the distance of . If the LRS ratio is , then , and we have the following.
* for and .* 2.
* for and .* 3.
* for and .* 4.
* for and .*
3.3 Adding a quasi-symmetric design
If the LRS ratio is greater than 2, it is hard to determine the largest 2-distance subset of that can be added to because becomes large and has large size. We try to add the representation of a quasi-symmetric design to . A quasi-symmetric design is a combinatorial design whose blocks have intersections of only two sizes [19, 22]. The block set of a quasi-symmetric design is identified with a subset of the Johnson scheme. Namely we add the characteristic vectors of the blocks to . The block graph of a quasi-symmetric design is a strongly regular graph. The characteristic vectors of the blocks are the Euclidean representation of the corresponding strongly regular graph. The LRS ratio of the representation is equal to the absolute value of the smallest eigenvalue of the strongly regular graph [3]. For , a quasi-symmetric design whose block graph has smallest eigenvalue is investigated in [21]. After modifying the representation of a quasi-symmetric design with eigenvalue , we can add the set to . We check the maximality of the new 2-distance set by trying to add other vectors in or , where is defined in Lemma 3.5.
3.3.1 Strongly resolvable design
A strongly resolvable design is a quasi-symmetric design whose block graph is the complete multipartite regular graph. For prime power , a strongly resolvable 2- design is obtained from the affine space . The point set of is , where is the finite field of order . The block set of is the set of all -dimensional affine subspaces of , and its size is . Let be the characteristic vector of . The length of is . The distance is or for any with , and the LRS ratio is .
By Theorem 3.1, for and , we have and . By Lemma 3.3, if distinct vectors can be added to , then , where is identified with . For the block set of , we define
[TABLE]
By Lemma 3.3, is a -distance set. For , we have another choice of , namely by Lemma 3.4. The vector is defined to be the vector corresponding to
[TABLE]
By Lemma 3.5, the set is a -distance set with points, and .
We use the following lemma in order to show the maximality of .
Lemma 3.8**.**
Let be an integer at least . Let , be non-negative integers such that and . Let be a strongly resolvable 2- design, which is a quasi-symmetric design such that for any with . Then there does not exist a non-empty subset of such that for each .
Proof.
Assume is a subset of such that for each . Since the 2- design is strongly resolvable, there exist blocks such that , that is disjoint union. Let . Suppose for , and for . For fixed , there exist blocks that contain except for . Let be the set of the blocks, where . Suppose for , and for . For each , there exist blocks in that contain . For each with , there exist blocks in that contain . Counting the points in including duplication,
[TABLE]
From this equality, for
[TABLE]
and for
[TABLE]
Equation (3.7) implies that and . From and , we have . From and , we have and . For each , it follows since is in . The number of such that is . Thus implies , which contradicts .
Equation (3.8) implies that and . From and , we have and . This implies , which contradicts .
The lemma therefore follows. ∎
Theorem 3.9**.**
Let be a prime power, , defined in (3.6), and defined in (3.5). Then the -distance set is maximal.
Proof.
Suppose can be added to while maintaining the -distance condition, where . By Lemma 3.4, it follows that is in or for and . Assume . Since the number of entries [math] of in (3.6) is , we have . Thus and hence is not 2-distance by Lemma 3.3. Thus . Now is identified with a point of , and so is a point of . Then it follows that for each because by Lemma 3.3. Let be the point set of , and the block set of . Let . For some integers with and , it follows that for each . By Lemma 3.8, there does not exist such . This implies the assertion. ∎
3.3.2 - Witt design or its complement
Let , namely . The set is identified with . Let for . If can be added to , then by Lemma 3.3. By Theorem 3.1 (2), the dimensions are only . By Lemma 3.5 (1), if and can be added to , then .
Let be the block set of the - Witt design [14]. The size of is 253. Let be the block set of the complement of the - design. By exhaustive computer search, we can check for each with . Note that if holds, then also holds. They are used in the following (i)–(v).
(i) , , ,
We define
[TABLE]
Let , where for some . If holds, then , but it is impossible. For , let , where for some . If holds, then , but it is impossible. These imply that is maximal as a 2-distance set in . The set has 278 points.
(ii) , , ,
We define
[TABLE]
Let , where for some . If holds, then , but it is impossible. For , let , where for some . If holds, then , but it is impossible. These imply that is maximal as a 2-distance set in . The set has 280 points.
(iii) , , ,
We define
[TABLE]
Let , where for some . If holds, then , but it is impossible. For , let , where for some . If holds, then , but it is impossible. These imply that is maximal as a 2-distance set in . The set has 280 points. The -distance set is isometric to the set in (ii).
(iv) , , ,
We
[TABLE]
Let , where for some . If holds, then , but it is impossible.
For , let , where for some . For with , if holds, then , but it is impossible. It should hold that for each , and for each for some . For , for each for any . The vector
[TABLE]
can be added to while maintaining the 2-distance condition.
These imply that is maximal as a 2-distance set in . The set has 286 points.
(v) , , ,
We define
[TABLE]
Let , where for some . For with if holds, then , but it is impossible. For any , we have . If can be added to while maintaining the 2-distance condition, then for each . It is impossible for or .
For and , it should hold that for each , but it is impossible.
These imply that is maximal as a 2-distance set in . The set has 302 points.
3.3.3 - Witt design, , , ,
Let be the block set of the complement of the - Witt design [14]. The size of is 77. We define
[TABLE]
Note that for any . By exhausted computer search, we can show that for each , there does not exist such that for each . We can also show that for each , there does not exist such that for each . The vector
[TABLE]
can be added to while maintaining the 2-distance condition. These imply that is maximal as a 2-distance set in . The set has 110 points.
3.3.4 - design, , , ,
Let be the block set of the - design [14, 27]. The size of is 120. We define
[TABLE]
Note that for any . By exhausted computer search, we can show that for each and each , there does not exist such that for each . These imply that is maximal as a 2-distance set in . The set has 144 points.
4 Concluding remarks
We are interested in determining the largest possible -distance set in for given and . In this paper, we assumed that a -distance set in contains a -dimensional regular simplex and has size at least , and we attempted to determine the largest . For the LRS ratio , the largest 2-distance sets exist only for , and we classified the sets. For the LRS ratio , the situation is comparatively more complicated. It is difficult to determine the largest subset of that satisfies the conditions in Lemmas 3.3 and 3.5. Determining the largest sets is equivalent to determining the largest 2-distance sets that contain a regular simplex. The main reason for the difficulty is that we have no means of systematic construction of non-spherical large -distance sets in general. For , the possible dimensions are relatively small and we have large -distance sets. This is very helpful in determining the largest 2-distance sets that contain a regular simplex. However, for , the possible dimensions are so large that it is almost impossible to determine the largest sets so far. In this study, we found large sets from the representations of quasi-symmetric designs. For , fortunately, there are several large 2-distance sets obtained from the previous research [21]. We can prove the maximality of these sets after adding a suitable point, if needed. For any prime power , we constructed a maximal -distance set containing a regular simplex by adding the representation of a strongly resolvable design. However the largest 2-distance set that contains a regular simplex for has still not been determined.
Based on the aforementioned situation, we would like to suggest further problems as follows:
Problem 4.1**.**
Determine the largest possible 2-distance sets in that contain a -dimensional regular simplex for a given .
Problem 4.2**.**
Determine the largest possible 2-distance sets in that contain a -dimensional regular simplex and have size at least for given and LRS ratio . This problem is equivalent to finding the largest subset of that satisfies the conditions in Lemmas 3.3 and 3.5.
Problem 4.3**.**
Construct maximal -distance sets in that contain a -dimensional regular simplex. In particular, construct the maximal -distance sets whose LRS ratio is an integer.
Problem 4.4**.**
Find a strongly regular graph whose Euclidean representation can be added to a regular simplex while maintaining the 2-distance condition.
Acknowledgments. The authors would like to thank anonymous referees for suggesting the way of the exposition of this paper. Nozaki is supported by JSPS KAKENHI Grant Numbers 17K05155, 18K03396, 19K03445, and 20K03527. Shinohara is supported by JSPS KAKENHI Grant Number 18K03396.
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