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On arborescence packing augmentation in hypergraphs

Pierre Hoppenot, Zoltán Szigeti

TL;DR

The paper addresses augmentation questions for enabling packing of arborescences and their hypergraph analogues, presenting necessary and sufficient conditions for adding arcs or edges to reach target packings. It develops a unified framework based on generalized polymatroids to model feasibility via polyhedra and submodular functions, and proves augmentation lemmas that subsume and extend many prior results in Edmonds–Egy style packing theorems. The main contributions include a broad augmentation theorem for mixed hyperarborescences (with $h$-regular, $(f,g)$-bounded, and $(eta)$-limited constraints), a parallel augmentation result for hyperbranchings, and the undirected counterpart for rooted hyperforests, thereby generalizing a large family of classical results. This framework provides a versatile toolkit for network design problems where robustness requires augmenting a structure to support complex arborescence and forest packings.

Abstract

We deepen the link between two classic areas of combinatorial optimization: augmentation and packing arborescences. We consider the following type of questions: What is the minimum number of arcs to be added to a digraph so that in the resulting digraph there exists some special kind of packing of arborescences? We answer this question for two problems: $h$-regular \textsf{M}-independent-rooted $(f,g)$-bounded $(α, β)$-limited packing of mixed hyperarborescences and $h$-regular $(\ell, \ell')$-bordered $(α, β)$-limited packing of $k$ hyperbranchings. We also solve the undirected counterpart of the latter, that is the augmentation problem for $h$-regular $(\ell, \ell')$-bordered $(α, β)$-limited packing of $k$ rooted hyperforests. Our results provide a common generalization of a great number of previous results.

On arborescence packing augmentation in hypergraphs

TL;DR

The paper addresses augmentation questions for enabling packing of arborescences and their hypergraph analogues, presenting necessary and sufficient conditions for adding arcs or edges to reach target packings. It develops a unified framework based on generalized polymatroids to model feasibility via polyhedra and submodular functions, and proves augmentation lemmas that subsume and extend many prior results in Edmonds–Egy style packing theorems. The main contributions include a broad augmentation theorem for mixed hyperarborescences (with -regular, -bounded, and -limited constraints), a parallel augmentation result for hyperbranchings, and the undirected counterpart for rooted hyperforests, thereby generalizing a large family of classical results. This framework provides a versatile toolkit for network design problems where robustness requires augmenting a structure to support complex arborescence and forest packings.

Abstract

We deepen the link between two classic areas of combinatorial optimization: augmentation and packing arborescences. We consider the following type of questions: What is the minimum number of arcs to be added to a digraph so that in the resulting digraph there exists some special kind of packing of arborescences? We answer this question for two problems: -regular \textsf{M}-independent-rooted -bounded -limited packing of mixed hyperarborescences and -regular -bordered -limited packing of hyperbranchings. We also solve the undirected counterpart of the latter, that is the augmentation problem for -regular -bordered -limited packing of rooted hyperforests. Our results provide a common generalization of a great number of previous results.

Paper Structure

This paper contains 11 sections, 26 theorems, 44 equations.

Key Result

Theorem 1

The following hold.

Theorems & Definitions (36)

  • Theorem 1: Frank book
  • Theorem 2: Edmonds Egy
  • Theorem 3: Frank FA78
  • Theorem 4: Frank FA78, Cai cai1
  • Theorem 5: Bérczi, Frank BF3
  • Theorem 6: Frank FA78
  • Theorem 7: Gao,Yang gy2
  • Theorem 8: Frank, Király, Király fkiki
  • Theorem 9: Hörsch, Szigeti HSz5
  • Theorem 10: Szigeti szigrooted
  • ...and 26 more