English

Compression of M${}^\natural$-convex Functions -- Flag Matroids and Valuated Permutohedra

Combinatorics 2020-05-27 v1 Optimization and Control

Abstract

Murota (1998) and Murota and Shioura (1999) introduced concepts of M-convex function and M{}^\natural-convex function as discrete convex functions, which are generalizations of valuated matroids due to Dress and Wenzel (1992). In the present paper we consider a new operation defined by a convolution of sections of an M{}^\natural-convex function that transforms the given M{}^\natural-convex function to an M-convex function, which we call a compression of an M{}^\natural-convex function. For the class of valuated generalized matroids, which are special M{}^\natural-convex functions, the compression induces a valuated permutohedron together with a decomposition of the valuated generalized matroid into flag-matroid strips, each corresponding to a maximal linearity domain of the induced valuated permutohedron. We examine the details of the structure of flag-matroid strips and the induced valuated permutohedron by means of discrete convex analysis of Murota.

Keywords

Cite

@article{arxiv.2005.12526,
  title  = {Compression of M${}^\natural$-convex Functions -- Flag Matroids and Valuated Permutohedra},
  author = {Satoru Fujishige and Hiroshi Hirai},
  journal= {arXiv preprint arXiv:2005.12526},
  year   = {2020}
}