### Abstract

Splitting off a pair of edges su, sv in a graph G means replacing these two edges by a new edge uv. This operation is well known in graph theory. Let G = (V + s,E + F) be a graph which is k-edge-connected in V and suppose that |F| is even. Here F denotes the set of edges incident with s. Lovász (Combinatorial Problems and Exercises, North-Holland, Amsterdam, 1979) proved that if k ≥ 2 then the edges in F can be split off in pairs preserving the k-edge-connectivity in V. This result was recently extended to the case where a bipartition R ∪ Q = V is given and every split edge must connect R and Q (SIAM J. Discrete Math. 12 (2) (1999) 160). In this paper, we investigate an even more general problem, where two disjoint subsets R,Q ⊂ V are given and the goal is to split off (the largest possible subset of) the edges of F preserving k-edge-connectivity in V in such a way that every split edge incident with a vertex from R has the other end-vertex in Q. Motivated by connectivity augmentation problems, we introduce another extension, the so-called split completion version of our problem. Here, the smallest set F ^{*} of edges incident to s has to be found for which all the edges of F + F^{*} can be split off in the augmented graph G = (V + s,E + F + F^{*}) preserving k-edge-connectivity and in such a way that every split edge incident with a vertex from R has the other end-vertex in Q. We solve each of the above extensions when k is even: we give min-max formulae and polynomial algorithms to find the optima. For the case when k is odd we show how to find a solution to the split completion problem using at most two edges more than the optimum.

Original language | English |
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Pages (from-to) | 5-28 |

Number of pages | 24 |

Journal | Discrete Mathematics |

Volume | 276 |

Issue number | 1-3 |

DOIs | |

Publication status | Published - Feb 6 2004 |

### Keywords

- Algorithm
- Edge-connectivity augmentation
- Partition constrained augmentation
- Split completion problem
- Splitting off

### ASJC Scopus subject areas

- Theoretical Computer Science
- Discrete Mathematics and Combinatorics

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## Cite this

*Discrete Mathematics*,

*276*(1-3), 5-28. https://doi.org/10.1016/S0012-365X(03)00291-7