DSpace Repository

Classifying equivalence relations in the Ershov hierarchy

Система будет остановлена для регулярного обслуживания. Пожалуйста, сохраните рабочие данные и выйдите из системы.

Show simple item record

dc.contributor.author Mustafa, Manat
dc.contributor.author Bazhenov, Nikolay
dc.contributor.author Mauro, Luca San
dc.contributor.author Sorbi, Andrea
dc.contributor.author Yamaleev, Mars
dc.date.accessioned 2020-05-12T10:19:36Z
dc.date.available 2020-05-12T10:19:36Z
dc.date.issued 2020-02-13
dc.identifier.citation Bazhenov, N., Mustafa, M., San Mauro, L., Sorbi, A., & Yamaleev, M. (2020). Classifying equivalence relations in the Ershov hierarchy. Archive for Mathematical Logic, 1-30. en_US
dc.identifier.uri https://doi.org/10.1007/s00153-020-00710-1
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/4660
dc.description.abstract Computably enumerable equivalence relations (ceers) received a lot of attention in the literature. The standard tool to classify ceers is provided by the computable reducibility ⩽c. This gives rise to a rich degree structure. In this paper, we lift the study of c-degrees to the Δ02 case. In doing so, we rely on the Ershov hierarchy. For any notation a for a non-zero computable ordinal, we prove several algebraic properties of the degree structure induced by ⩽c on the Σ−1a∖Π−1a equivalence relations. A special focus of our work is on the (non)existence of infima and suprema of c-degrees. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.rights Attribution-NonCommercial-ShareAlike 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/us/ *
dc.title Classifying equivalence relations in the Ershov hierarchy en_US
dc.type Article en_US
workflow.import.source science


Files in this item

The following license files are associated with this item:

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-ShareAlike 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 3.0 United States