Elsevier

Discrete Applied Mathematics

Volume 255, 28 February 2019, Pages 283-298
Discrete Applied Mathematics

Projection and convolution operations for integrally convex functions

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Abstract

This paper considers projection and convolution operations for integrally convex functions, which constitute a fundamental function class in discrete convex analysis. It is shown that the class of integrally convex functions is stable under projection, and this is also the case with the subclasses of integrally convex functions satisfying local or global discrete midpoint convexity. As is known in the literature, the convolution of two integrally convex functions may possibly fail to be integrally convex. We show that the convolution of an integrally convex function with a separable convex function remains integrally convex. We also point out in terms of examples that the similar statement is false for integrally convex functions with local or global discrete midpoint convexity.

Keywords

Discrete convex analysis
Integrally convex function
Minkowski sum
Infimal convolution
Integer programming

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This work was supported by The Mitsubishi Foundation, CREST, JST Grant Number JPMJCR14D2, Japan, and JSPS KAKENHI Grant Numbers 26350430, 26280004, 17K00037.