Donor challenge: Your generous donation will be matched 2-to-1 right now. Your $5 becomes $15! Dear Internet Archive Supporter,. I ask only. We say a hypergraph is Berge- -saturated if it does not contain a Berge-, but adding any hyperedge creates a copy of Berge-. The -uniform. For a (0,1)-matrix, we say that a (0,1)-matrix has as a \emph{Berge hypergraph} if there is a submatrix of and some row and column.

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In one, the edges consist hhypergraphs only of a set of vertices, but may also contain subsets of vertices, subsets of subsets of vertices and so on ad infinitum.

Conversely, any bipartite graph with hypergarphs parts and no unconnected nodes in the second part represents some hypergraph in the manner described above.

A hypergraph is bipartite if and only if its vertices can be partitioned into two classes U and V in such a way that each hyperedge with cardinality at least 2 contains at least one vertex from both classes.

[] Forbidden Berge Hypergraphs

If a hypergraph is both edge- and vertex-symmetric, then the hypergraph is simply transitive. In contrast with ordinary undirected graphs for which there is a single natural notion of cycles and acyclic graphsthere are multiple natural non-equivalent definitions of acyclicity for hypergraphs which collapse to ordinary graph acyclicity for the special case of ordinary graphs.

Although such structures may seem strange at first, they can be readily understood by noting that the equivalent generalization of their Levi graph is no longer bipartitebut is hypergraphss just some general directed graph. Similarly, a hypergraph is edge-transitive if all edges are symmetric.

Mathematics > Combinatorics

However, the transitive closure of set membership for such hypergraphs does induce a partial orderand “flattens” the hypergraph into a partially ordered set. Ramsey’s theorem and Line graph of a hypergraph are typical examples. When a mixed hypergraph is colorable, then the minimum and maximum number of used colors are called the lower and upper chromatic numbers respectively.

A hypergraph is also called a set system or a family of sets drawn from the universal set X. Berge-cyclicity can obviously be tested in linear time by an exploration of the incidence graph. The collection of hypergraphs is a category with hypergraph homomorphisms as morphisms.


A hypergraph is then just a collection of trees with common, shared nodes that is, a given internal node or leaf may occur in several different trees. Alternately, edges can be allowed to point at other edges, irrespective of the requirement that the edges be ordered as directed, acyclic graphs. The transversal hypergraph of H is the hypergraph XF whose edge set F consists of all minimal transversals of H.

This bipartite graph is also called incidence graph. In other words, there must be no monochromatic hyperedge with cardinality at least 2. This definition is very restrictive: In other projects Wikimedia Commons. In another style of hypergraph visualization, the subdivision model of hypergraph drawing, [21] the plane is subdivided into regions, each of which represents a single vertex of the hypergraph.

On the universal relation.

Computing the transversal hypergraph has applications in combinatorial optimizationin game theoryand in several fields of computer science such as machine learningindexing of databaseshgpergraphs satisfiability problemdata miningand computer program optimization.

A connected graph G with the same vertex set as a connected hypergraph H is a host graph for H if every hyperedge of Berg induces a connected subgraph in G. Views Read Edit View history. Thus, for the above example, the incidence matrix is simply. Wikimedia Commons has media related to Hypergraphs. An algorithm for tree-query membership of a distributed query.

In one possible visual representation for hypergraphs, similar to the bergee graph drawing style in which curves in the plane are used to depict graph edges, a hypergraph’s vertices are depicted as points, disks, or boxes, and its hyperedges are depicted as trees that have the vertices as their leaves.

In mathematicsa hypergraph is a generalization of a graph hypergrapsh which an edge can join any number of vertices. March”Multilevel hypergraph partitioning: One of them is the so-called mixed hypergraph coloring, when monochromatic edges are allowed.

Graphs And Hypergraphs

In particular, there is a bipartite “incidence graph” or ” Levi graph ” corresponding to every hypergraph, and conversely, most, but not all, bipartite graphs can be regarded as incidence graphs of hypergraphs. Conversely, every collection of trees can be understood as this generalized hypergraph. In computational geometrya hypergraph may sometimes be called a range space and then the hyperedges are called ranges.


Note that all strongly isomorphic graphs are isomorphic, but not vice versa.

Hypergraphs for which there exists a coloring using up to k colors are referred to as k-colorable. Since trees are widely used throughout computer science and many other branches of mathematics, one could say berve hypergraphs appear naturally as well. The graph corresponding to the Levi graph of this generalization is a directed acyclic graph. When a notion of equality is properly defined, as done below, the operation of taking the dual of a hypergraph is an involutioni.

The generalized incidence matrix for such hypergraphs is, by definition, a square matrix, of a rank equal to the total number of vertices plus edges. Hypetgraphs hypergraph is said to be vertex-transitive or vertex-symmetric if all of its vertices are symmetric. The 2-section or clique graphrepresenting graphprimal graphGaifman graph of a hypergraph is the graph with the same vertices of hypergraph hypergraph, and edges between all pairs of vertices contained in the same hyperedge. Those four notions of acyclicity are comparable: In contrast with the polynomial-time recognition of planar graphsit is NP-complete to determine whether a hypergraph has a planar subdivision drawing, [22] but the existence of a drawing of this type may be tested efficiently when the adjacency pattern of the regions is constrained to be a path, cycle, or tree.

For a disconnected hypergraph H hypeggraphs, G is a host graph if there is a bijection between the connected components of G and of Hsuch that each connected component G’ of G is a host of the corresponding H’. Special kinds of hypergraphs include: In essence, every edge is just an internal node of a tree or directed acyclic graphand vertices are the leaf nodes. By augmenting a class of hypergraphs with replacement rules, graph grammars can be generalised to hypergraphd hyperedges.

There are two variations of this generalization. Alternatively, such a hypergraph is said to hyperhraphs Property B.