Multiple edges 2026-10-14
Multiple edges are distinct edges with the same pair of endpoint vertices in an undirected graph. A multigraph permits them; a simple graph does not. In an orientation of a graph of a multigraph, each such edge receives its own direction, so two of them can supply opposite directed edges between the same vertices.
Orientation of a graph Created 2026-10-07 Updated 2026-10-14
A choice of direction for each edge of an undirected graph, producing a directed graph.
An orientation of a graph keeps the same vertex set and the same individual edges. For every edge with distinct endpoints, choose exactly one directed edge, either or . Replacing it by both arrows is a different construction: it doubles the edges and permits travel both ways along that connection. In an orientation of a graph, the return journey must use another route.[ref]
All examples below use finite simple graphs: no self-loops and no multiple edges. For a multigraph, each individual nonloop edge receives its own direction, so two multiple edges can point in opposite directions. A self-loop becomes , which is already a directed cycle of length one and therefore prevents an acyclic orientation. A finite simple graph with edges has orientations of a graph, since the two choices for each edge are independent.
Think of vertices as junctions and edges as streets. An orientation of a graph makes each street one-way; reachability asks whether a legal journey exists from one specified junction to another. Two useful aims pull in different directions: an acyclic orientation rules out circular dependencies, while a strong orientation permits journeys between every ordered pair of junctions.
Robbins' theorem 2026-10-14
A finite nonempty connected graph whose edges are undirected admits a strong orientation if and only if it has no bridge in a graph. This statement holds for finite multigraphs as well as finite simple graphs; self-loops do not help connect distinct vertices. The single-vertex case is allowed, with length-zero directed paths.[ref]
Necessity comes from the two sides separated by deleting a bridge in a graph: its chosen arrow crosses in only one direction. For sufficiency, the cited constructive proof uses depth-first search to find a cycle in a graph, orients it cyclically, contracts it, and repeats. Undoing the contractions replaces junctions by directed cycles, retaining two-way reachability. Contraction can produce multiple edges, so these must remain distinct. This is a construction outline; the input graph is finite and bridgeless, and remaining edges within contracted pieces can receive arbitrary directions.[ref]