Some Partitionings of Complete Designs
M.H. Ahmadi, N. Akhlaghini, G.B. Khosrovshahi, S. Sadri

TL;DR
This paper introduces a novel way to partition the set of all 3-element subsets of a v-set, where v is congruent to 2 modulo 4, using simple trades, contributing to combinatorial design theory.
Contribution
It presents a new partitioning method of complete 3-uniform hypergraphs into simple trades for specific v values, advancing combinatorial design techniques.
Findings
New partitioning scheme for 3-subsets
Applicable for v ≡ 2 (mod 4)
Enhances understanding of combinatorial trades
Abstract
Let be an integer with . In this paper, we introduce a new partitioning of the set of all -subsets of a -set into some simple trades.
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Taxonomy
Topicsgraph theory and CDMA systems · semigroups and automata theory · Optics and Image Analysis
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Some Partitionings of Complete Designs
M.H. Ahmadia, N. Akhlaghiniab, G.B. Khosrovshahia,111Corresponding author: [email protected], S. Sadria
a**School of Mathematics, Institute for Research in Fundamental Sciences (IPM)
P.O. Box , Tehran, Iran
*b**Department of Mathematical Sciences Shahid, Beheshti University, G.C.,
P.O. Box , Tehran, Iran
{h.ahmadi117, narges.nia, rezagbk, sadri}@ipm.ir
Mathematics Subject Classifications: 05B20
Abstract
Let be an integer with . In this paper, we introduce a new partitioning of the set of all -subsets of a -set into some simple trades.
1 Introduction
Integers , and with are considered. Let be a linearly ordered -set, and
[TABLE]
The elements of are called blocks. For the sake of brevity, sometimes a set is denoted by the string .
The inclusion matrix (known as Wilson Matrix) is defined to be a by -matrix whose rows and columns are indexed by (and referred to) the members of and , respectively, where
[TABLE]
For the sake of convenience, sometimes we use or just a bare for .
Now, suppose that the elements of are lexicographically ordered. A -collection of the elements of is a function with the vector representation \big{(}f(A_{1}),\dots,f(A_{\binom{v}{k}})\big{)}^{T}.
It is well known that is a full rank matrix over [4]. As a linear operator, acts on a -collection of blocks, and algebraically counts the number of times that any member of appears in the blocks of the collection.
Let 1 be the all 1 vector, and let be a nonnegative integer. We call the following equation the fundamental equation of design theory:
[TABLE]
For , every nonnegative integral solution of Equation (* ‣ 1) is called a - design. Also, a simple - design is called a Steiner triple system, denoted by . It is well known that an exists if and only if . For more on Steiner triple systems, see [3].
For , every integral solution of Equation (* ‣ 1) is called a trade. Let be a trade. Clearly has some negative and positive entries. Therefore, we can assume that , where and are two nonnegative -collections. Now, certifies that every element of appears equally often in and . This means that and , which are called the two legs of T, are mutually -wise balanced. The number of blocks in and are equal and is called the volume of .
The foundation of a trade is the set of elements from appearing in the trade. A nonzero T trade whose both volume and foundation size take the minimum values is called a minimal trade. It is known that the volume and foundation size of a T trade are at least and , respectively [6]. A trade is called simple if it contains no repeated blocks.
In what follows, we present two kinds of simple trades.
Let and be two disjoint blocks. Then
[TABLE]
is a minimal trade.
Suppose that and ، are two disjoint subsets of , and . Let be a graph with vertices . For every cycle of
[TABLE]
is a trade.
In Section 2, we construct a simple trade with volume by using disjoint trades. For example, Let , and be a cycle of graph with vertices , then
[TABLE]
is a simple trade with volume .
A simple trade with volume is called a -halving. The following conjecture (known as halving conjecture) is due to Alan Hartman [5]:
Conjecture. There exists a -halving if and only if for , .
Clearly, every -halving can be written as a linear combination of some trades with smaller volumes. In what follows, we briefly describe three methods available in the literature for constructing a -halving. All methods employ the linear combination of trades.
AK algorithm [7]. For a block , we choose the block such that
[TABLE]
Then we define the trade
[TABLE]
Ajoodani and Khosrovshahi proved that the following algorithm produces a -halving.
Although, through this algorithm the halving is constructed directly, but it does not reveal the trade-like structure of the halving.
Standard recursive method [1]. By reordering the columns of , we can write the reduced row echelon form of as \big{(}C\mid{\rm I}\big{)}.
Then \big{(}\frac{\rm~{}I}{-C}\big{)} is called the standard basis for the kernel of and denoted by .
Naturally, every -halving is a linear combination of the columns of . The complicated structure of does not reveal much information about the structure of -halving and in this regard the following two conjectures remain open [1, 10].
- –
The elements of every row of have the same sign.
- –
For , the matrix contains a nowhere zero row.
Nevertheless, in [2], by carefully studying , a -vector is constructed recursively such that , and is a -halving.
In this method trades are used which are not necessarily simple and every two trade are not disjoint.
V10 Method [10]. Let and is partitioned into two subsets and . If is a subset of , then we define the trade
[TABLE]
It is easy to show that is a simple trade with volume and foundation size . The following summation gives a -halving
[TABLE]
Example. The following summation is a -halving
[TABLE]
For instance
[TABLE]
In this method, the linear combination of trades with volume and foundation size is used to construct a -halving. Every two trades are disjoint or have exactly blocks in common.
2 Partition method
Recently, Sauskan and Tarannikov partitioned into disjoint minimal trades and subsequently by augmenting these trades they obtained a -halving [9]. Then, for , they constructed a -halving by utilizing these trades and the method of combining -designs. Originally, this method was used to obtain some infinite families of -designs [8].
In [9], for constructing -halving, no algorithm has been presented. Here, we construct -halvings based on a hill climbing process.
Example 1**.**
*A -halving. *
[TABLE]
We note that a -halving exists if and only if . Clearly, by augmetation of minmal trades for , one can not construct a -halving. In what follows, we describe our partitioning mehtod to construct -halvings.
Theorem 2.1**.**
For positive integer , let and suppose that is partitioned into two subsets and . Let be the Eulerian cycle of complete graph with vertices , then
[TABLE]
is a -halving.
Proof.
It is easy to check that all the blocks of are disjoint. Then by the following relation
[TABLE]
clearly is a -halving. ∎
In the following Theorem, we partition all blocks of of Theorem 2.1 into trades with volume and volume .
Theorem 2.2**.**
For positive integer , let and suppose that is partitioned into two subsets and . Then
Let . Consider an with elements from . Then
[TABLE]
is a trade with volume .
Let . Consider with elements from . If is a partition of into -subsets, then
[TABLE]
is a trade with volume .
Proof.
Since the number of blocks of is , then is the augmentation of trades with volume . Now, by the relation
[TABLE]
is a trade.
Since the number of blocks of is , then is the augmentation of trades of volume and trades with of . Now, by the following relation
[TABLE]
is a trade.
∎
3 Some Examples
**1. -halving. ** Let and , where . Consider Then
[TABLE]
is a -halving. Therefore, the trade structure of -halving is the following:
[TABLE]
**2. -halving. ** Let and , where . Consider and . Then
[TABLE]
is a -halving. Therefore, the trade structure of -halving is the following:
[TABLE]
Acknowledgements
The authors thank Professor Denis Krotov of Sobolev Institute of Mathematics for mentioning the paper by Sauskan and Tarannikov [9].
P2.53.
- [2]
M.H. Ahmadi, N. Akhlaghinia, G.B. Khosrovshahi, and Ch. Maysoori, On the inclusion matrix , Linear Algebra Appl. 461 (2014), 42–50.
- [3]
C.J. Colbourn and A. Rosa, Triple Systems, Oxford, New York, 1999.
- [4]
J.E. Graver and W.B. Jurkat, The module structure of integral designs, J. Combin. Theory Ser. A 15 (1973), 75–90.
- [5]
A. Hartman, Halving the complete design, Ann. Discrete Math. 34 (1987), 207–224.
- [6]
A.S. Hedayat and G.B. Khosrovshahi, Trades, in Handbook of Combinatorial Designs, (C. J. Colbourn, J. H. Dinitz, eds.), Chapman Hall/CRC, Boca Raton, 2007, pp. 644–648.
- [7]
G.B. Khosrovshahi and S. Ajoodani-Namini, A new basis for trades, SIAM J. Discrete Math. 3 (1990), 364–372.
- [8]
G.B. Khosrovshahi and S. Ajoodani-Namini, Combining -designs, J. Combin. Theory Ser. A 58(1) (1991), 26–34.
- [9]
A.V. Sauskan and Yu.V. Taranikov, On packings of -products, Sib. Élektron. Mat. Izv. **13 ** (2016), 888–896.
- [10]
T.W.H. Wong, Diagonal forms, linear algebraic methods and Ramsey-type problems, Dissertation (Ph.D.), California Institute of Technology, Pasadena, 2013.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] M.H. Ahmadi, N. Akhlaghinia, G.B. Khosrovshahi, and Ch. Maysoori, More on the Wilson W t k ( v ) subscript 𝑊 𝑡 𝑘 𝑣 W_{tk}(v) matrices , Electron. J. Combin. 21(2) (2014), # P 2.53.
- 2[2] M.H. Ahmadi, N. Akhlaghinia, G.B. Khosrovshahi, and Ch. Maysoori, On the inclusion matrix W 23 ( v ) subscript 𝑊 23 𝑣 W_{23}(v) , Linear Algebra Appl. 461 (2014), 42–50.
- 3[3] C.J. Colbourn and A. Rosa, Triple Systems , Oxford, New York, 1999.
- 4[4] J.E. Graver and W.B. Jurkat, The module structure of integral designs , J. Combin. Theory Ser. A 15 (1973), 75–90.
- 5[5] A. Hartman, Halving the complete design , Ann. Discrete Math. 34 (1987), 207–224.
- 6[6] A.S. Hedayat and G.B. Khosrovshahi, Trades , in Handbook of Combinatorial Designs, (C. J. Colbourn, J. H. Dinitz, eds.), Chapman Hall/CRC, Boca Raton, 2007, pp. 644–648.
- 7[7] G.B. Khosrovshahi and S. Ajoodani-Namini, A new basis for trades , SIAM J. Discrete Math. 3 (1990), 364–372.
- 8[8] G.B. Khosrovshahi and S. Ajoodani-Namini, Combining t 𝑡 t -designs , J. Combin. Theory Ser. A 58(1) (1991), 26–34.
