English

A Note on M-convex Functions on Jump Systems

Combinatorics 2020-09-21 v2

Abstract

A jump system is defined as a set of integer points (vectors) with a certain exchange property, generalizing the concepts of matroids, delta-matroids, and base polyhedra of integral polymatroids (or submodular systems). A discrete convexity concept is defined for functions on constant-parity jump systems and it has been used in graph theory and algebra. In this paper we call it "jump M-convexity" and extend it to "jump M-natural-convexity" for functions defined on a larger class of jump systems. By definition, every jump M-convex function is a jump M-natural-convex function, and we show the equivalence of these concepts by establishing an (injective) embedding of jump M-natural-convex functions in n variables into the set of jump M-convex functions in n+1 variables. Using this equivalence we show further that jump M-natural-convex functions admit a number of natural operations such as aggregation, projection (partial minimization), convolution, composition, and transformation by a network.

Keywords

Cite

@article{arxiv.1907.06209,
  title  = {A Note on M-convex Functions on Jump Systems},
  author = {Kazuo Murota},
  journal= {arXiv preprint arXiv:1907.06209},
  year   = {2020}
}

Comments

16 pages

R2 v1 2026-06-23T10:20:32.645Z