Bipartite spanning sub(di)graphs induced by 2-partitions

TL;DR

This paper investigates the computational complexity of partitioning graphs and digraphs into bipartite subgraphs with degree constraints, revealing many problems are NP-complete except in specific cases like strong connectivity.

Contribution

It characterizes the complexity of bipartite subgraph induced by 2-partitions under various degree and connectivity constraints, including NP-completeness and polynomial cases.

Findings

Deciding degree-constrained 2-partitions is NP-complete in general.

Strong connectivity makes certain partition problems polynomial-time solvable.

NP-completeness persists even for highly connected Eulerian digraphs.

Abstract

For a given $2$-partition $(V_1,V_2)$ of the vertices of a (di)graph $G$, we study properties of the spanning bipartite subdigraph $B_G(V_1,V_2)$ of $G$ induced by those arcs/edges that have one end in each $V_i$. We determine, for all pairs of non-negative integers $k_1,k_2$, the complexity of deciding whether $G$ has a 2-partition $(V_1,V_2)$ such that each vertex in $V_i$ has at least $k_i$ (out-)neighbours in $V_{3-i}$. We prove that it is ${\cal NP}$-complete to decide whether a digraph $D$ has a 2-partition $(V_1,V_2)$ such that each vertex in $V_1$ has an out-neighbour in $V_2$ and each vertex in $V_2$ has an in-neighbour in $V_1$. The problem becomes polynomially solvable if we require $D$ to be strongly connected. We give a characterisation, based on the so-called strong component digraph of a non-strong digraph of the structure of ${\cal NP}$-complete instances in terms of their strong component digraph. When we want higher in-degree or out-degree to/from the other set the problem becomes ${\cal NP}$-complete even for strong digraphs. A further result is that it is ${\cal NP}$-complete to decide whether a given digraph $D$ has a $2$-partition $(V_1,V_2)$ such that $B_D(V_1,V_2)$ is strongly connected. This holds even if we require the input to be a highly connected eulerian digraph.