Making bipartite graphs DM-irreducible

Kristóf Bérczi, Satoru Iwata, Jun Kato, Yutaro Yamaguchi

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)


The Dulmage–Mendelsohn decomposition (or the DM-decomposition) gives a unique partition of the vertex set of a bipartite graph reflecting the structure of all the maximum matchings therein. A bipartite graph is said to be DM-irreducible if its DM-decomposition consists of a single component. In this paper, we focus on the problem of making a given bipartite graph DM-irreducible by adding edges. When the input bipartite graph is balanced (i.e., both sides have the same number of vertices) and has a perfect matching, this problem is equivalent to making a directed graph strongly connected by adding edges, for which the minimum number of additional edges was characterized by Eswaran and Tarjan [SIAM J. Comput., 5 (1976), pp. 653–665]. We give a general solution to this problem, which is divided into three parts. We first show that our problem can be formulated as a special case of a general framework of covering supermodular functions, which was introduced by Frank and Jordán [J. Combin. Theory Ser. B, 65 (1995), pp. 73–110] to investigate the directed connectivity augmentation problem. Second, when the input graph is not balanced, the problem is solved via matroid intersection. This result can be extended to the minimum cost version in which the addition of an edge gives rise to an individual cost. Third, for balanced input graphs, we devise a combinatorial algorithm that finds a minimum number of additional edges to attain the DM-irreducibility, while the minimum cost version of this problem is NP-hard. These results also lead to min-max characterizations of the minimum number, which generalize the result of Eswaran and Tarjan.

Original languageEnglish
Pages (from-to)560-590
Number of pages31
JournalSIAM Journal on Discrete Mathematics
Issue number1
Publication statusPublished - 2018
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Mathematics(all)


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