A directed graph or digraph is a pair (sometimes ) of:[1]
It differs from an ordinary or undirected graph, in that the latter is defined in terms of unordered pairs of vertices, which are usually called edges.
Sometimes a digraph is called a simple digraph to distinguish it from a directed multigraph, in which the arcs constitute a multiset, rather than a set, of ordered pairs of vertices. Also, in a simple digraph loops are disallowed. (A loop is an arc that pairs a vertex to itself.) On the other hand, some texts allow loops, multiple arcs, or both in a digraph.
Contents |
An arc is considered to be directed from to ; is called the head and is called the tail of the arc; is said to be a direct successor of , and is said to be a direct predecessor of . If a path made up of one or more successive arcs leads from to , then is said to be a successor of , and is said to be a predecessor of . The arc is called the arc inverted.
A directed graph G is called symmetric if, for every arc that belongs to G, the corresponding inverted arc also belongs to G. A symmetric loopless directed graph is equivalent to an undirected graph with the pairs of inverted arcs replaced with edges; thus the number of edges is equal to the number of arcs halved.
An orientation of a simple undirected graph is obtained by assigning a direction to each edge. Any directed graph constructed this way is called an oriented graph. A distinction between a simple directed graph and an oriented graph is that if and are vertices, a simple directed graph allows both and as edges, while only one is permitted in an oriented graph.[2][3][4]
A weighted digraph is a digraph with weights assigned for its arcs, similarly to the weighted graph. A digraph with weighted edges in the context of graph theory is called a network.
The adjacency matrix of a digraph (with loops and multiple arcs) is the integer-valued matrix with rows and columns corresponding to the digraph nodes, where a nondiagonal entry is the number of arcs from node i to node j, and the diagonal entry is the number of loops at node i. The adjacency matrix for a digraph is unique up to the permutations of rows and columns.
Another matrix representation for a digraph is its incidence matrix.
See Glossary of graph theory#Direction for more definitions.
For a node, the number of head endpoints adjacent to a node is called the indegree of the node and the number of tail endpoints is its outdegree.
The indegree is denoted and the outdegree as A vertex with is called a source, as it is the origin of each of its incident edges. Similarly, a vertex with is called a sink.
The degree sum formula states that, for a directed graph,
If for every node v ∈ V, , the graph is called a balanced digraph.[5]
A digraph G is called weakly connected (or just connected[6]) if the undirected underlying graph obtained by replacing all directed edges of G with undirected edges is a connected graph. A digraph is strongly connected or strong if it contains a directed path from u to v and a directed path from v to u for every pair of vertices u,v. The strong components are the maximal strongly connected subgraphs.
A directed acyclic graph or acyclic digraph is a directed graph with no directed cycles. Special cases of directed acyclic graphs include the multitrees (graphs in which no two directed paths from a single starting node meet back at the same ending node), oriented trees or polytrees (the digraphs formed by orienting the edges of undirected acyclic graphs), and the rooted trees (oriented trees in which all edges of the underlying undirected tree are directed away from the root).
A tournament is an oriented graph obtained by choosing a direction for each edge in an undirected complete graph.
In the theory of Lie groups, a quiver Q is a directed graph serving as the domain of, and thus characterizing the shape of, a representation V defined as a functor, specifically an object of the functor category FinVctKF(Q) where F(Q) is the free category on Q consisting of paths in Q and FinVctK is the category of finite dimensional vector spaces over a field K. Representations of a quiver label its vertices with vector spaces and its edges (and hence paths) compatibly with linear transformations between them, and transform via natural transformations.