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Equivariant Perturbation in Gomory and Johnson’s Infinite Group Problem VII. Inverse Semigroup Theory, Closures, Decomposition of Perturbations

  • Robert Hildebrand
  • , Matthias Köppe
  • , Yuan Zhou

Research output: Contribution to journal › Article › peer-review

Abstract

In this self-contained paper, we present a theory of the piecewise linear minimal valid functions for the 1-row Gomory–Johnson infinite group problem. The non-extreme minimal valid functions are those that admit effective perturbations. We give a precise description of the space of these perturbations as a direct sum of certain finite- and infinite-dimensional subspaces. The infinite-dimensional subspaces have partial symmetries; to describe them, we develop a theory of inverse semigroups of partial bijections, interacting with the functional equations satisfied by the perturbations. Our paper provides the foundation for grid-free algorithms for the Gomory–Johnson model, in particular for testing extremality of piecewise linear functions whose breakpoints are rational numbers with huge denominators.

Original languageEnglish
Article number16
JournalOpen Journal of Mathematical Optimization
Volume3
DOIs
StatePublished - 2022

Bibliographical note

Publisher Copyright:
© Robert Hildebrand & Matthias Köppe & Yuan Zhou.

Funding

Optimization. IPCO 2019 (A. Lodi and V. Nagarajan, eds.), Lecture Notes in Computer Science, vol. 11480, Springer, Cham, 2019, pp. 247–260, https://doi.org/10.1007/978-3-030-17953-3_19, [14]. A preliminary version of parts of the development in this paper appeared in the third author’s 2017 Ph.D. thesis [23]. The authors gratefully acknowledge partial support from the National Science Foundation through grants DMS-0914873 (R. Hildebrand, M. Köppe), DMS-1320051 (M. Köppe, Y. Zhou), DMS-2012764 (M. Köppe), DMS-2012429 (Y. Zhou). Part of this work was done while R. Hildebrand and M. Köppe were visiting the Simons Institute for the Theory of Computing in Fall 2017. It was partially supported by the DIMACS/Simons Collaboration on Bridging Continuous and Discrete Optimization through NSF grant CCF-1740425.

FundersFunder number
National Science Foundation Arctic Social Science ProgramDMS-0914873, DMS-1320051, CCF-1740425, DMS-2012764, DMS-2012429, 2012764

    ASJC Scopus subject areas

    • Control and Optimization
    • Management Science and Operations Research

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