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dc.contributor.authorBartel, A
dc.contributor.authorJohnston, H
dc.contributor.authorLenstra, HW
dc.date.accessioned2024-05-03T10:01:17Z
dc.date.issued2024-04-16
dc.date.updated2024-04-29T10:47:03Z
dc.description.abstractThe main purpose of the paper is to formulate a probabilistic model for Arakelov class groups in families of number fields, offering a correction to the Cohen–Lenstra–Martinet heuristic on ideal class groups. To that end, we show that Chinburg’s Ω(3) conjecture implies tight restrictions on the Galois module structure of oriented Arakelov class groups. As a consequence, we construct a new infinite series of counterexamples to the Cohen–Lenstra–Martinet heuristic, which have the novel feature that their Galois groups are non-abelian.en_GB
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.description.sponsorshipEngineering and Physical Sciences Research Council (EPSRC)en_GB
dc.format.extent1-24
dc.identifier.citationPublished online 16 April 2024en_GB
dc.identifier.doihttps://doi.org/10.1007/s00208-024-02862-4
dc.identifier.grantnumberEP/P019188/1en_GB
dc.identifier.grantnumberEP/N005716/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/135846
dc.identifierORCID: 0000-0001-5764-0840 (Johnston, Henri)
dc.language.isoenen_GB
dc.publisherSpringeren_GB
dc.rights© The Author(s) 2024. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en_GB
dc.titleArakelov class groups of random number fieldsen_GB
dc.typeArticleen_GB
dc.date.available2024-05-03T10:01:17Z
dc.identifier.issn0025-5831
dc.descriptionThis is the final version. Available from Springer via the DOI in this record. en_GB
dc.descriptionData availability statement: Data sharing is not applicable to this article, as no datasets were generated or analysed during the present work.en_GB
dc.identifier.eissn1432-1807
dc.identifier.journalMathematische Annalenen_GB
dc.relation.ispartofMathematische Annalen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2024-03-25
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2024-04-16
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2024-05-03T09:56:02Z
refterms.versionFCDVoR
refterms.dateFOA2024-05-03T10:01:25Z
refterms.panelBen_GB
refterms.dateFirstOnline2024-04-16


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© The Author(s) 2024. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which
permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give
appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence,
and indicate if changes were made. The images or other third party material in this article are included
in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If
material is not included in the article’s Creative Commons licence and your intended use is not permitted
by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the
copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Except where otherwise noted, this item's licence is described as © The Author(s) 2024. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.