A generalisation of Menger's theorem in bidirected graphs
Ebrahim Ghorbani, Jana Katharina Nickel, Florian Reich
TL;DR
The paper addresses extending Menger's theorem to bidirected graphs by incorporating nontrivial $X$-$X$ and $Y$-$Y$ paths. It introduces $X$-$Y$ turnarounds and $X$-$Y$ links, and proves a max-min relation: the maximum number of vertex-disjoint $X$-$Y$ links, with turnarounds counted twice, is at least the minimum size of an $X$-$Y$-link cut; this subsumes previous sufficient conditions for the classic Menger setting when turnarounds are constrained. The approach relies on linear programming and the integrality properties of the incidence matrix of bidirected graphs via $k$-regularity, yielding a concise, self-contained proof and several corollaries and remarks on optimality. The results strengthen prior work and offer potential variants, including edge-based questions and extensions when no $X$-$X$ turnarounds are allowed. The work contributes to a deeper understanding of path-packings in bidirected graphs and links to matching theory.
Abstract
Menger's theorem - the maximum number of vertex-disjoint $X$-$Y$ paths is equal to the minimum size of an $X$-$Y$ separator - is generally not true in bidirected graphs. We prove that Menger's theorem holds true if we take the nontrivial $X$-$X$ paths and the nontrivial $Y$-$Y$ paths into account.
