Cage (graph theory) explained

In the mathematical field of graph theory, a cage is a regular graph that has as few vertices as possible for its girth.

Formally, an is defined to be a graph in which each vertex has exactly neighbors, and in which the shortest cycle has length exactly . An is an with the smallest possible number of vertices, among all . A is often called a .

It is known that an exists for any combination of and . It follows that all exist.

If a Moore graph exists with degree and girth, it must be a cage. Moreover, the bounds on the sizes of Moore graphs generalize to cages: any cage with odd girth must have at least

1+

(g-3)/2
r\sum
i=0

(r-1)i

vertices, and any cage with even girth must have at least
(g-2)/2
2\sum
i=0

(r-1)i

vertices. Any with exactly this many vertices is by definition a Moore graph and therefore automatically a cage.

There may exist multiple cages for a given combination of and . For instance there are three non-isomorphic, each with 70 vertices: the, the Harries graph and the Harries–Wong graph. But there is only one : the (with 112 vertices).

Known cages

A 1-regular graph has no cycle, and a connected 2-regular graph has girth equal to its number of vertices, so cages are only of interest for r ≥ 3. The (r,3)-cage is a complete graph Kr + 1 on r + 1 vertices, and the (r,4)-cage is a complete bipartite graph Kr,r on 2r vertices.

Notable cages include:

The numbers of vertices in the known (r,g) cages, for values of r > 2 and g > 2, other than projective planes and generalized polygons, are:

3 4 5 6 7 8 9 10 11 12
34 6 10 14 24 30 58 70 112 126
45 8 19 26 67 80 728
56 10 30 42 170 2730
67 12 40 62 312 7812
78 14 50 90

Asymptotics

For large values of g, the Moore bound implies that the number n of vertices must grow at least singly exponentially as a function of g. Equivalently, g can be at most proportional to the logarithm of n. More precisely,

g\le2logr-1n+O(1).

It is believed that this bound is tight or close to tight . The best known lower bounds on g are also logarithmic, but with a smaller constant factor (implying that n grows singly exponentially but at a higher rate than the Moore bound). Specifically, the construction of Ramanujan graphs defined by satisfy the bound

g\ge

4
3

logr-1n+O(1).

This bound was improved slightly by .

It is unlikely that these graphs are themselves cages, but their existence gives an upper bound to the number of vertices needed in a cage.

References

External links