The Complexity of Periodic Energy Minimisation

dc.contributor.authorAdamson, Duncan
dc.contributor.authorDeligkas, Argyrios
dc.contributor.authorGusev, Vladimir V.
dc.contributor.authorPotapov, Igor
dc.contributor.authorSzeider, Stefan
dc.contributor.authorGanian, Robert
dc.contributor.authorSilva, Alexandra
dc.date.accessioned2026-10-29T14:28:01Z
dc.date.available2026-10-29T14:28:01Z
dc.date.issued2022-08-01
dc.descriptionPublisher Copyright: © 2022 Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing. All rights reserved.en
dc.description.abstractThe computational complexity of pairwise energy minimisation of N points in real space is a longstanding open problem. The idea of the potential intractability of the problem was supported by a lack of progress in finding efficient algorithms, even when restricted the integer grid approximation. In this paper we provide a firm answer to the problem on Zd by showing that for a large class of pairwise energy functions the problem of periodic energy minimisation is NP-hard if the size of the period (known as a unit cell) is fixed, and is undecidable otherwise. We do so by introducing an abstraction of pairwise average energy minimisation as a mathematical problem, which covers many existing models. The most influential aspects of this work are showing for the first time: 1) undecidability of average pairwise energy minimisation in general 2) computational hardness for the most natural model with periodic boundary conditions, and 3) novel reductions for a large class of generic pairwise energy functions covering many physical abstractions at once. In particular, we develop a new tool of overlapping digital rhombuses to incorporate the properties of the physical force fields, and we connect it with classical tiling problems. Moreover, we illustrate the power of such reductions by incorporating more physical properties such as charge neutrality, and we show an inapproximability result for the extreme case of the 1D average energy minimisation problem.en
dc.description.versionPeer revieweden
dc.format.extent2288778
dc.format.extent
dc.format.extent
dc.identifier.citationAdamson, D, Deligkas, A, Gusev, V V & Potapov, I 2022, The Complexity of Periodic Energy Minimisation. in S Szeider, R Ganian & A Silva (eds), 47th International Symposium on Mathematical Foundations of Computer Science, MFCS 2022., 9, Leibniz International Proceedings in Informatics, LIPIcs, vol. 241, Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 47th International Symposium on Mathematical Foundations of Computer Science, MFCS 2022, Vienna, Austria, 22/08/22. https://doi.org/10.4230/LIPIcs.MFCS.2022.8en
dc.identifier.citationconferenceen
dc.identifier.doi10.4230/LIPIcs.MFCS.2022.8
dc.identifier.isbn9783959772563
dc.identifier.issn1868-8969
dc.identifier.other251493996
dc.identifier.other520b3322-507d-4151-8f2d-6559a2461acc
dc.identifier.other85137560410
dc.identifier.urihttps://hdl.handle.net/20.500.11815/8962
dc.language.isoen
dc.publisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
dc.relation.ispartofseries47th International Symposium on Mathematical Foundations of Computer Science, MFCS 2022; ()en
dc.relation.ispartofseriesLeibniz International Proceedings in Informatics, LIPIcs; 241()en
dc.relation.urlhttps://www.scopus.com/pages/publications/85137560410en
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.subjectNP-hardnessen
dc.subjectOptimisation of periodic structuresen
dc.subjecttilingen
dc.subjectundecidabilityen
dc.subjectSoftwareen
dc.titleThe Complexity of Periodic Energy Minimisationen
dc.type/dk/atira/pure/researchoutput/researchoutputtypes/contributiontobookanthology/conferenceen

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