Английская Википедия:Cage (graph theory)

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Шаблон:Short description [[Image:Tutte eight cage.svg|thumb|right|The [[Tutte–Coxeter graph|Tutte Шаблон:Nowrap]].]]

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

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

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

<math>1+r\sum_{i=0}^{(g-3)/2}(r-1)^i</math>

vertices, and any cage with even girth Шаблон:Mvar must have at least

<math>2\sum_{i=0}^{(g-2)/2}(r-1)^i</math>

vertices. Any Шаблон:Nowrap 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 Шаблон:Mvar and Шаблон:Mvar. For instance there are three nonisomorphic Шаблон:Nowrap, each with 70 vertices: the Balaban 10-cage, the Harries graph and the Harries–Wong graph. But there is only one Шаблон:Nowrap: the Balaban 11-cage (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:

Шаблон:Diagonal split header 3 4 5 6 7 8 9 10 11 12
3 4 6 10 14 24 30 58 70 112 126
4 5 8 19 26 67 80 728
5 6 10 30 42 170 2730
6 7 12 40 62 312 7812
7 8 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,

<math>g\le 2\log_{r-1} n + O(1).</math>

It is believed that this bound is tight or close to tight Шаблон:Harv. 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 Шаблон:Harvtxt satisfy the bound

<math>g\ge \frac{4}{3}\log_{r-1} n + O(1).</math>

This bound was improved slightly by Шаблон:Harvtxt.

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