Neighborly polytope
In geometry and polyhedral combinatorics, a Template:Mvar-neighborly polytope is a convex polytope in which every set of Template:Mvar or fewer vertices forms a face. For instance, a 2-neighborly polytope is a polytope in which every pair of vertices is connected by an edge, forming a complete graph. 2-neighborly polytopes with more than four vertices may exist only in spaces of four or more dimensions, and in general a Template:Mvar-neighborly polytope (other than a simplex) requires a dimension of Template:Math or more. A Template:Mvar-simplex is Template:Mvar-neighborly. A polytope is said to be neighborly, without specifying Template:Mvar, if it is Template:Mvar-neighborly for Template:Math. If we exclude simplices, this is the maximum possible Template:Mvar: in fact, every polytope that is Template:Mvar-neighborly for some Template:Math is a simplex.[1]
In a Template:Mvar-neighborly polytope with Template:Math, every 2-face must be a triangle, and in a Template:Mvar-neighborly polytope with Template:Math, every 3-face must be a tetrahedron. More generally, in any Template:Mvar-neighborly polytope, all faces of dimension less than Template:Mvar are simplices.
The cyclic polytopes formed as the convex hulls of finite sets of points on the moment curve Template:Math in Template:Mvar-dimensional space are automatically neighborly. Theodore Motzkin conjectured that all neighborly polytopes are combinatorially equivalent to cyclic polytopes.[2] However, contrary to this conjecture, there are many neighborly polytopes that are not cyclic: the number of combinatorially distinct neighborly polytopes grows superexponentially, both in the number of vertices of the polytope and in the dimension.[3]
The convex hull of a set of random points, drawn from a Gaussian distribution with the number of points proportional to the dimension, is with high probability Template:Mvar-neighborly for a value Template:Mvar that is also proportional to the dimension.[4]
The number of faces of all dimensions of a neighborly polytope in an even number of dimensions is determined solely from its dimension and its number of vertices by the Dehn–Sommerville equations: the number of Template:Mvar-dimensional faces, Template:Mvar, satisfies the inequality
where the asterisk means that the sums ends at Template:Math and final term of the sum should be halved if Template:Mvar is even.[5] According to the upper bound theorem of Template:Harvtxt,[6] neighborly polytopes achieve the maximum possible number of faces of any Template:Mvar-vertex Template:Mvar-dimensional convex polytope.
A generalized version of the happy ending problem applies to higher-dimensional point sets, and implies that for every dimension Template:Mvar and every Template:Math there exists a number Template:Math with the property that every Template:Mvar points in general position in Template:Mvar-dimensional space contain a subset of Template:Mvar points that form the vertices of a neighborly polytope.[7]
References
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- ↑ Template:Citation. Grünbaum attributes the key lemma in this result, that every set of Template:Math points contains the vertices of a Template:Math-vertex cyclic polytope, to Micha Perles.