English

Representing Piecewise Linear Functions by Functions with Small Arity

Symbolic Computation 2023-05-29 v1 Discrete Mathematics Machine Learning Combinatorics

Abstract

A piecewise linear function can be described in different forms: as an arbitrarily nested expression of min\min- and max\max-functions, as a difference of two convex piecewise linear functions, or as a linear combination of maxima of affine-linear functions. In this paper, we provide two main results: first, we show that for every piecewise linear function there exists a linear combination of max\max-functions with at most n+1n+1 arguments, and give an algorithm for its computation. Moreover, these arguments are contained in the finite set of affine-linear functions that coincide with the given function in some open set. Second, we prove that the piecewise linear function max(0,x1,,xn)\max(0, x_{1}, \ldots, x_{n}) cannot be represented as a linear combination of maxima of less than n+1n+1 affine-linear arguments. This was conjectured by Wang and Sun in 2005 in a paper on representations of piecewise linear functions as linear combination of maxima.

Keywords

Cite

@article{arxiv.2305.16933,
  title  = {Representing Piecewise Linear Functions by Functions with Small Arity},
  author = {Christoph Koutschan and Bernhard Moser and Anton Ponomarchuk and Josef Schicho},
  journal= {arXiv preprint arXiv:2305.16933},
  year   = {2023}
}
R2 v1 2026-06-28T10:47:33.498Z