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Fischer classified the groups generated by a conjugacy class 𝐷 of 3-transpositions (involutions such that the product of any two has order at most 3) and discovered three new sporadic groups that bear his name. These groups are rank 3 groups: 𝐷 carries in a natural way the structure of a geometry with lines of length 3 and the structure of a rank 3 graph. We review some properties of these geometries, called Fischer spaces, and mention Fischer’s group-theoretic classification. We discuss the examples and give detailed parameter information. We briefly discuss cotriangular spaces and Shult’s classification, and Hall’s classification of copolar spaces. Finally we classify with full proofs all lax embeddings of (finite) symplectic copolar spaces in projective space. We use some specific such embedded copolar spaces to construct two rank 3 graphs of affine type, one with 2401 vertices, the other with 6561 vertices.
In this short chapter we discuss the p-ranks of matrices related to (strongly regular) graphs. The p-rank of an integral matrix is the rank over the finite field of order p. Designs or graphs with the same parameters can sometimes be distinguished by considering the 𝑝-rank of associated matrices. For strongly regular graphs the interesting primes p are those dividing r-s (where r and s are the eigenvalues distinct from the valence), otherwise the p-rank is completely determined by the parameters. We list the interesting p-ranks of many graphs and discuss also some families of graphs, such as triangular graphs, Paley and Peisert graphs, symplectic graphs. We also discuss the Smith normal form of the adjacency matrix of some families of graphs, such as the complete graphs, lattice graphs, triangular graphs, Paley and Peisert graphs.
The classification of rank 3 graphs is due to Foulser-Kallaher-Kantor-Liebler-Liebeck- Saxl and others. We describe that result in this chapter. We provide the relevant group-theoretic theorems (without proof) and identify all graphs that appear with graphs that were mentioned (and in most cases explicitly constructed) in previous chapters. This way, we give all pairs (Γ,), with Γ a strongly regular graph and 𝐺 a group of automorphisms of Γ acting rank 3. We also provide a table of the parameters of the sporadic rank 3 graphs, which have up to 531441 vertices, and a similar table for all rank 3 graphs up to 1024 vertices. Finally, we tabulate small primitive rank 4–10 strongly regular graphs which do not have Latin square parameters.
In this chapter we discuss strongly regular graphs arising from non-degenerate reflexive forms on a finite vector space not isomorphic to the point-graphs. These comprise the graphs on non-singular or nonisotropic points with respect to reflexive forms over small fields, the half spin graphs with a discussion of triality, the rank 5 hyperbolic case, the graph on the maximal subspaces of rank 3 orthogonal and symplectic polar spaces, affine polar graphs including a detailed discussion of the affine half spin graphs, forms graphs, affine graphs with a Baer subspace or a hyperoval at infinity, and Grassmann graphs. In the last paragraph, we analyse the polar graphs arising from non-isotropic points with respect to various forms over the field of two elements and discuss the mutual relations via the local structure.
In this chapter we construct the Golay codes and the Witt designs, both in several ways. The uniqueness is proved in a self-contained way for the binary case; in the ternary case some details are left out. We then study the associated Witt designs, which are remarkable Steiner systems on 12 and 24 points. We show uniqueness of these, and of the (multiply) derived designs. We define the two standard near polygonsfrom the ternary Golay code and the large Witt design. We discuss the geometry of the projective plane of order 4 providing an alternative construction and uniqueness proof of the Witt designs. Finally, we introduce the Leech lattice and its binary and complex variants.
The first chapter contains the basics of the theory of strongly regular graphs. In particular all basic notions such as parameters and spectrum are rigorously defined. The standard example such as Johnson graphs, Hamming graphs, Paley graphs are introduced. We treat Seidel switching and regular two-graphs, (induced) subgraphs, strongly regular graphs with smallest eigenvalue —2, regular partitions and regular (intriguing) sets. We enumerate the small examples and discuss prolific constructions. This chapter also contains an introduction to two slightly more general objects needed in the book: distance regular graphs (including the main examples, and a discussion on imprimitivity), and association schemes and coherent configurations (including a brief discussion of the Bose-Mesner algebra, linear programming bound, code-clique theorem, Krein parameters, Euclidean representation, subschemas, the absolute bound and the mu-bound).
The second chapter contains some theory of polar spaces. The latter provide the main examples of rank 3 graphs, and, more generally, many examples of strongly regular graphs. Polar spaces are introduced in general as embedded in a projective space, and a full proof of the classification of finite embedded polar spaces is provided.In this chapter, the emphasis is on the graphs whose vertices are objects of a polar space such as the point graph and graphs on (one type of) (maximal) singular subspaces. We review the three types of polar spaces, orthogonal, unitary and symplectic using reflexive forms and discuss Witt’s theorem. For the collinearity graphs of (finite) polar spaces, we discuss, sometimes in detail, sometimes merely surveying, maximal cliques, maximal co-cliques (ovoids), intriguing sets (tight sets and h-ovoids), spreads, partial spreads, hemisystems,…
In this chapter, we describe the sporadic rank 3 graphs, and further interesting strongly regular graphs that have special properties not shared by the other graphs in the infinite families to which they belong. Part of the information given here was obtained using the computer algebra system GAP and its package GRAPE(with Nauty). Among the listed properties one finds (various) constructions, a discussion of the maximal cliques and cocliques, a table with regular sets arising from a group action,local characterizations, sporadic properties such as connections with Ramsey numbers, chromatic number, p-ranks, decompositions, etc. The chapter has exactly 100 sections, mostly each dealing with an individual graph, but often also discussing a small family of graphs with equally many vertices (ranging from 5 to 531441 vertices). It contains some new geometric and/or combinatorial constructions of a few sporadic (exceptional and extraspecial) rank 3 graphs.
Given a fixed graph H that embeds in a surface $\Sigma$, what is the maximum number of copies of H in an n-vertex graph G that embeds in $\Sigma$? We show that the answer is $\Theta(n^{f(H)})$, where f(H) is a graph invariant called the ‘flap-number’ of H, which is independent of $\Sigma$. This simultaneously answers two open problems posed by Eppstein ((1993) J. Graph Theory17(3) 409–416.). The same proof also answers the question for minor-closed classes. That is, if H is a $K_{3,t}$ minor-free graph, then the maximum number of copies of H in an n-vertex $K_{3,t}$ minor-free graph G is $\Theta(n^{f'(H)})$, where f′(H) is a graph invariant closely related to the flap-number of H. Finally, when H is a complete graph we give more precise answers.
Strongly regular graphs lie at the intersection of statistical design, group theory, finite geometry, information and coding theory, and extremal combinatorics. This monograph collects all the major known results together for the first time in book form, creating an invaluable text that researchers in algebraic combinatorics and related areas will refer to for years to come. The book covers the theory of strongly regular graphs, polar graphs, rank 3 graphs associated to buildings and Fischer groups, cyclotomic graphs, two-weight codes and graphs related to combinatorial configurations such as Latin squares, quasi-symmetric designs and spherical designs. It gives the complete classification of rank 3 graphs, including some new constructions. More than 100 graphs are treated individually. Some unified and streamlined proofs are featured, along with original material including a new approach to the (affine) half spin graphs of rank 5 hyperbolic polar spaces.
We determine the asymptotics of the number of independent sets of size $\lfloor \beta 2^{d-1} \rfloor$ in the discrete hypercube $Q_d = \{0,1\}^d$ for any fixed $\beta \in (0,1)$ as $d \to \infty$, extending a result of Galvin for $\beta \in (1-1/\sqrt{2},1)$. Moreover, we prove a multivariate local central limit theorem for structural features of independent sets in $Q_d$ drawn according to the hard-core model at any fixed fugacity $\lambda>0$. In proving these results we develop several general tools for performing combinatorial enumeration using polymer models and the cluster expansion from statistical physics along with local central limit theorems.
Complex networks are typically not homogeneous, as they tend to display an array of structures at different scales. A feature that has attracted a lot of research is their modular organisation, i.e., networks may often be considered as being composed of certain building blocks, or modules. In this Element, the authors discuss a number of ways in which this idea of modularity can be conceptualised, focusing specifically on the interplay between modular network structure and dynamics taking place on a network. They discuss, in particular, how modular structure and symmetries may impact on network dynamics and, vice versa, how observations of such dynamics may be used to infer the modular structure. They also revisit several other notions of modularity that have been proposed for complex networks and show how these can be related to and interpreted from the point of view of dynamical processes on networks.
In many systems consisting of interacting subsystems, the complex interactions between elements can be represented using multilayer networks. However percolation, key to understanding connectivity and robustness, is not trivially generalised to multiple layers. This Element describes a generalisation of percolation to multilayer networks: weak multiplex percolation. A node belongs to a connected component if at least one of its neighbours in each layer is in this component. The authors fully describe the critical phenomena of this process. In two layers with finite second moments of the degree distributions the authors observe an unusual continuous transition with quadratic growth above the threshold. When the second moments diverge, the singularity is determined by the asymptotics of the degree distributions, creating a rich set of critical behaviours. In three or more layers the authors find a discontinuous hybrid transition which persists even in highly heterogeneous degree distributions, becoming continuous only when the powerlaw exponent reaches $1+1/(M-1)$ for $M$ layers.