On the non-existence of $srg(76,21,2,7)$
Monther R. Alfuraidan, Ibrahim O. Sarumi, Sergey Shpectorov

TL;DR
This paper proves that a strongly regular graph with parameters (76,21,2,7) cannot exist by employing a novel approach based on the graph's unit vector representation.
Contribution
It introduces a new non-existence proof for the specific strongly regular graph using unit vector representation methods.
Findings
Proves non-existence of srg(76,21,2,7)
Introduces a novel proof technique based on vector representations
Enhances understanding of parameter constraints for strongly regular graphs
Abstract
We present a new non-existence proof for the strongly regular graph with parameters , using the unit vector representation of the graph.
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Taxonomy
TopicsFinite Group Theory Research · graph theory and CDMA systems · Coding theory and cryptography
On the non-existence of
Monther R. Alfuraidan1, Ibrahim O. Sarumi2, Sergey Shpectorov3
*(1,2)*Department of Mathematics & Statistics, King Fahd University of Petroleum and Minerals
Dhahran 31261, Saudi Arabia
[email protected], [email protected],
*(3)*School of Mathematics, University of Birmingham, Birmingham, United Kingdom
Abstract. We present a new non-existence proof for the strongly regular graph with parameters , using the unit vector representation of the graph.
Keywords: Strongly regular graph, distance regular graph, unit vector representation.
AMS Subject Classification: Primary: 05E30, Secondary: 05C30
1. Introduction
A graph is said to be strongly regular with parameters if the following condition holds: has vertices (i.e., ) and, for , the number of common neighbours of and in is if (so is regular of valency ), if and are adjacent, and if and are non-adjacent. Strongly regular graphs are among the central objects in graph theory and its applications. We write for any strongly regular graph with parameters .
Haemers [4] proved non-existence of . His proof is very efficient (perhaps even a bit terse), and it relies on clever edge counting to establish that such must locally be a union of -cliques. This means that is the collinearity graph of a point-line geometry (a generalized quadrangle of order ). At this point Haemers quotes the non-existence result for by Dixmier and Zara [2].
In this note, we give an alternative proof of Haemers’ theorem based on the well-known fact that every distance regular graph (and in particular, every strongly regular graph) admits a Euclidean realization as a set of unit vectors in an eigenspace of the adjacency matrix of . In this realization, the value of the inner product of two vectors (the cosine of the angle between them) is fully determined by the mutual distance of the corresponding vertices. This is encoded in the so-called cosine sequence. Note that the eigenvalues of the adjacency matrix, dimension of each eigenspace, and the cosine sequence can be easily deduced from the parameters of via the readily available formulas (for example, see [3]).
There are many open cases of strongly regular graphs even for relatively small values of (see the table of feasible parameters up to in [BH]). Of course, the aim of our project is to contribute to one of the open cases. In this sense, the proof in this note is just a sample of things to come. However, we think that even this taster proof demonstrates efficiency of the method and it exhibits interesting features, such as the relation to roots systems, which arise in our proof not once, but twice.
Just like Haemers, we aim to show that is locally a union of cliques. However, once we achive this, we do not stop, but rather use our unit vector setup to achieve an outright contradiction. In this sense, we also provide an alternative proof of the result of Dixmier and Zara.
2. Starting point
Suppose is . Then the adjacency matrix of has eigenvalues , , and with multiplicities , , and , respectively. We focus on the -dimensional eigenspace corresponding to the eigenvalue . The cosine sequence for this eigenspace is . This means that our graph can be realized as a set of unit vectors , , in the Euclidean space such that if the distinct vertices and are adjacent, and , if they are not.
From now on we identify vertices of with the corresponding unit vectors. Hence we simply write and in place of and .
3. Neighbourhood
Fix an arbitrary . The subgraph induced on the vertices in is a union of cycles , since its degree is . Let us slightly alter vectors to make them perpendicular to . Namely, we set for each . Clearly, , as desired. Also, for , we have . Therefore,
[TABLE]
Let be the subspace of spanned by the vectors corresponding to the vertices of the th cycle in . It follows from the above inner product values that for all and that for all .
Lemma 3.1**.**
Let . Then we have:
- (i)
; and 2. (ii)
.
Proof.
(i) Let . Then, for each , we have that , since itself contributes to the sum, and its two neighbours contribute each, while all the other vertices of contribute naught. Therefore, , proving that .
(ii) Assuming that the vertices appear in this order on the cycle , let be the Gram matrix of the vectors . Then
[TABLE]
Let be the determinant of . Viewing as variable, we obtain the recursive relation by expanding the determinant along the bottom row. Taking into account that and , we easily deduce that , and so are linearly independent. ∎
We included this proof for completeness; however, we need to mention that these facts are well known. Indeed, the matrix above is the Gram matrix of a basis from the root system of type , and if we add the missing vector then this gives the basis of the affine root system .
We now focus on a vertex from and study the neighbours of in . Let be the number of such neighbours on the cycle .
Lemma 3.2**.**
The length of is a multiple of ; namely, .
Proof.
Let again , where , and .
Note that . If is adjacent to , this results in , and otherwise, the result is . Now consider the equality
[TABLE]
Since is adjacent to vertices and non-adjacent to vertices, we obtain from here that
[TABLE]
which gives , as claimed. ∎
4. Second layer
We alter the vertices in in a similar way to make them perpendicular to . For , we set . Then , as claimed. Similarly, we compute, for ,
[TABLE]
Finally, we also compute, and also in a very similar way, the inner products for and . These are:
[TABLE]
Recall that every vertex has seven neighbours in . Let us first describe the subgraph induced on these seven vertices.
Lemma 4.1**.**
Each connected component of is of size or .
Proof.
If is a -path in , with , then is a -cycle in , a contradiction with Lemma 3.2 with in place of . ∎
If is a size component of then the projection of to the -space spanned by coincides with . Hence . If is a size component of then by symmetry the projection of to the subspace spanned by and is a multiple of . Note that and . Hence , and so .
Projections corresponding to different components of are orthogonal. Hence, if we have components of size and, correspondingly, components of size then the length of the projection of to the subspace of spanned by all , , is . Since this must be at most , we conclude that or .
Consider one of the cycles of length and consisting of vertices. We know that . Let , the subspace spanned by the vectors , , and let be the projection of onto .
Lemma 4.2**.**
We have . Furthermore, if and only the vertices of are evenly spaced in , containing every third vertex along and .
Proof.
Let be the projection of to the subspace spanned by for . Then certainly with equality holding only if . The graph consists of several components of . The computation before the lemma shows that a component of size contributes to and a component of size contributes . Hence , as claimed. Furthermore, the equality only holds when every component is of size and also . In particular, is an independent subset of . Taking now a vertex , we see that , where is the numbers of vertices of adjacent to . This shows that for every , and hence is evenly spaced in .
Conversely, if is evenly spaced then for every and for every . Hence . ∎
We now assume that and focus on the cycle containing the only component of of size . Without loss of generality, we may assume that and is the size component of .
Clearly, and it follows from Lemma 3.1 that , since . Also, it follows from Lemma 4.2 that the length of the projection of onto the subspace corresponding to is at most .
Lemma 4.3**.**
If is adjacent to and then , , and . Furthermore, the subgraph is evenly spaced in for each .
Proof.
The set of vertices consists of vertices from (neighbours of ) and other vertices (non-neighbours). Let us view the neighbours as dividers splitting the non-neighbours into continuous parts of lengths . Let and, for , we set . We let be the subspace of spanned by and let be the projection of onto . Then, clearly, and, since the vectors are pairwise orthogonal and of length , we have that , which means that . Hence, to find the minimum of the latter, we need to minimize under the restriction that . Clearly, the minimum is achieved when all are equal, that is when all are equal to . The minimum value is, therefore, .
Hence . Clearly, this means that is of length , and so every part is of size , which leads to the vectors in the statement of the lemma. Also for every cycle other than we must have the minimum length value and so the vertices must be evenly spaced in . ∎
Let us adopt the following terminology: the vectors will be called pairs, while the edge will be called the base of the pair . Using these terms, in the lemma above is the sum of the unique minus-pair and half-pairs .
Lemma 4.4**.**
Every cycle in has length .
Proof.
Suppose, by contradiction, that has length . In , is adjacent to and , which are not adjacent to each other. Hence is part of a cycle in of length at least . Let be the second neighbour of in , and let be the second neighbour of in . Note that is adjacent to and , and hence is as in Lemma 4.3. In particular, is the projection of to the subspace .
We obtain a contradiction by computing . Since and are adjacent vertices in (note that and are not adjacent to , since has length at least ), the value of the inner product must be . On the other hand, we can estimate the value as follows. Recall that by Lemma 4.3 and so , where is the projection of to the subspace corresponding to the cycle in . We already know and, by Lemmas 4.3 and 4.2, if then , where is evenly spaced in . It follows that . Clearly, is adjacent to but not to . Hence . Consider now a half-pair . If is adjacent to both and then is described as in Lemma 4.3 with the minus-pair base . This means, however, that is the base of a half-pair for . Hence cannot be adjacent to , a contradiction. Therefore, is adjacent to at most one of and . If is adjacent to one of these then . If is adjacent to neither of them then . Hence the smallest possible value of is . In all , is adjacent to vertices , and for each such vertex, appears in with coefficient . If is adjacent to then this gives contribution to the value of . If and are not adjacent then the contribution is . Hence the smallest possible contribution from all vectors appearing in , where , is . Putting all of the above together, we conclude that . This clearly is a contradiction since . ∎
5. Contradiction
Vertices and -cliques of form a point-line geometry. It follows from Lemma 4.4 that every point lies in seven lines and then, using the parameters of , it is easy to deduce that this geometry is a generalized quadrangle of order , which cannot exist due to a theorem of Dixmier and Zara [2]. However, with the wealth of information that we have collected, we can achieve a quick contradiction not using [2].
Let , where is the span of the vectors in . That is, . Since all cycles in are of length , Lemma 3.1 shows that , and so .
If then the projection of onto coincides with and it has length . It follows that the projection of onto has length . Let denote times the projection of onto . Then . We now compute for distinct .
If and are adjacent then . Note that the edge lies in a unique -clique and so and have a unique common neighbour in . It follows that if and are the projections of and onto then . Hence .
If and are non adjacent then . Let the the number of common neighbours of and in . Then and .
To summarize, if and then
[TABLE]
Clearly, it follows that .
Notice that the above values of inner products mean that all vectors , are contained in a root system in . Indeed, since all values are integers, the vectors span an integral lattice and all vectors of length from that lattice form a root system.
The largest root system in dimension is having vectors splitting into pairs of opposite roots. Since , we must have five vertices such that all vectors belong to the same pair of opposite roots.
Lemma 5.1**.**
There is no strongly regular graph with parameters .
Proof.
Consider the five vertices such that all vectors are in the same pair of opposite roots . Without loss of generality, let the first of the vectors be and the remaining be .
From the calculations above, the vertices are pairwise non-adjacent. Furthermore, if then and have exactly one common neighbour in , and if then and have exactly five common neighbours in .
If then and so both and must have five neighbours among the seven vertices from . However, this means that and have at least two common neighbours in ; a contradiction. Therefore, and any two vectors and share a unique common neighbour in .
For the final contradiction, note that there are at most three -cycles in where , , and may have common neighbours. It follows that there are at least four -cycles where , and are adjacent to the three distinct vertices of . This means that, in each of these -cycles , the vertex would have the same neighbour as one of the vertices , , and . Clearly, this means that must share at least two common neighbours with one of the vectors , , or ; a contradiction. ∎
Acknowledgement
The authors are grateful to King Fahd University of Petroleum and Minerals for supporting this research.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] A.E. Brouwer and W.H. Haemers, Spectra of Graphs , Universitext, Springer, 2012.
- 2[2] S. Dixmier and F. Zara, Etude d’un quadrangle généralisé author de deux de ses point non liés . Unpublished manuscript, 1976.
- 3[3] C.D Godsil, Algebraic Combinatorics , Chapman & Hall, New York, 1993.
- 4[4] W. H. Haemers, There exists no ( 76 , 21 , 2 , 7 ) 76 21 2 7 (76,21,2,7) strongly regular graph , Finite Geometry and Combinatorics, F. De Clerck et al. (eds.), LMS Lecture Notes Series 191, Cambridge University Press, 1993, 175–176.
