Digraph realization problem

The problem belongs to the complexity class P. Two algorithms are known to prove that. The first approach is given by the Kleitman-Wang algorithms constructing a special solution with the use of a recursive algorithm. The second one is a characterization by the Fulkerson-Chen-Anstee theorem, i.e. one has to validate the correctness of inequalities.

The problem can also be stated in terms of zero-one matrices. The connection can be seen if one realizes that each directed graph has an adjacency matrix where the column sums and row sums correspond to and . Note that the diagonal of the matrix only contains zeros. The problem is then often denoted by 0-1-matrices for given row and column sums. In the classical literature the problem was sometimes stated in the context of contingency tables by contingency tables with given marginals.

Similar problems describe the degree sequences of simple graphs, simple directed graphs with loops, and simple bipartite graphs. The first problem is the so-called graph realization problem. The second and third one are equivalent and are known as the bipartite realization problem. Chen (1966) gives a characterization for directed multigraphs with a bounded number of parallel arcs and loops to a given degree sequence. The additional constraint of the acyclicity of the directed graph is known as dag realization. Nichterlein & Hartung (2012) proved the NP-completeness of this problem. Berger & Müller-Hannemann (2011) showed that the class of opposed sequences is in P. The problem uniform sampling a directed graph to a fixed degree sequence is to construct a solution for the digraph realization problem with the additional constraint that such each solution comes with the same probability. This problem was shown to be in FPTAS for regular sequences by Catherine Greenhill (2011) The general problem is still unsolved.