Let k 2
be a fixed integer.
Random simple k-uniform hypergraphs are easy and natural
to define, just choose some function p(n) with
0 < p(n) < 1 , and let Hk(n,p) be the
random hypergraph with vertex set {1,2,...,n} where each
k-element subsets has independently
the same chance p(n) to occur as hyperedge.
We shall show that for suitable p(n) =
n^{-1/2+},
>0,
k-facet graphs of Hk(n,p)
are almost always recognizable, for
n going to infinity.
Each of both remaining problems---identifying the
star graphs and recognizing
(k-1)-set hypergraphs
of k-uniform hypergraphs---becomes tractable almost always.
For the first we could show that for almost every such k-facet graph, all its star cliques have more than k+1 vertices.
For the other part, testing whether a given simple, linear k-uniform hypergraph H´ is the (k-1)-set hypergraph of some simple k-uniform hypergraph H, we try the following approach: Assume H´ = H[k-1]. Under this assumption, in the first step we try to find out which pairs of vertices of H´ have---viewed as k-1-element subsets of A(H)---k-2 common elements. These pairs are sampled as edges of the graph F=(A(H´),E). If this has been done, we only need to check in the second step whether the resulting graph is a (k-2)-intersection graph of some (k-1)-uniform hypergraph. This second step sounds difficult enough, but for k=3 we can do it; it is just recognizing line graphs.
If two distinct (k-1)-element subsets are both contained in the same k-element superset, then we have exactly k-2 common elements. Thus
(1) all pairs of vertices lying in the same hyperedge of H´ are included in E.
However, we may have to include more.
Next assume that the vertices x and y of H´ are in no common hyperedge, but that another vertex z joins a common hyperedge with x and another common hyperedge with y. If X,Y, and Z are the corresponding (k-1)-element subsets of A(H), then |X(2) If there are distinct vertices x,y,z1,z2,z3,z4, z5 in H´ where for every 1i
5 some hyperedge of H´ contains both x and zi, and another hyperedge contains both y and zi, then we add xy to E.
There may be, however, still more edges in E.
Not so if H is random, H=Hk(n,p), with large enough n and high enough edge probability p.
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For recognizing 3-facet graphs of large random 3-uniform hypergraphs
we simply decide that all cliques with more than 4 vertices
are star graphs.
We test whether this hypergraph is the 2-set hypergraph of
some 3-uniform hypergraph, and are done.
The only problem is that the hypergraph of the
star graphs is not really random, but it can be shown that
it behaves random.
For testing k-facet graphs with
k 4,
we do the same and arrive at
the problem of recognizing (k-1)-facet graphs of
Hk-1(n,1),
which works quite well.