Abstract
The theory of numberings gives a fruitful approach to studying uniform computations for various families of mathematical objects. The algorithmic complexity of numberings is usually classified via the reducibility \(\le \) between numberings. This reducibility gives rise to an upper semilattice of degrees, which is often called the Rogers semilattice. For a computable family S of c.e. sets, its Rogers semilattice R(S) contains the \(\le \)-degrees of computable numberings of S. Khutoretskii proved that R(S) is always either one-element, or infinite. Selivanov proved that an infinite R(S) cannot be a lattice.
We introduce a bounded version of reducibility between numberings, denoted by \(\le _{bm}\). We show that Rogers semilattices \(R_{bm}(S)\), induced by \(\le _{bm}\), exhibit a striking difference from the classical case. We prove that the results of Khutoretskii and Selivanov cannot be extended to our setting: For any natural number \(n\ge 2\), there is a finite family S of c.e. sets such that its semilattice \(R_{bm}(S)\) has precisely \(2^n-1\) elements. Furthermore, there is a computable family T of c.e. sets such that \(R_{bm}(T)\) is an infinite lattice.
The work was supported by Nazarbayev University Faculty Development Competitive Research Grants N090118FD5342. The first author was partially supported by the grant of the President of the Russian Federation (No. MK-1214.2019.1). The third author was partially supported by the program of fundamental scientific researches of the SB RAS No. I.1.1, project No. 0314-2019-0002.
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Acknowledgements
Part of the research contained in this paper was carried out while the first and the last authors were visiting the Department of Mathematics of Nazarbayev University, Astana. The authors wish to thank Nazarbayev University for its hospitality. The authors also thank the anonymous reviewers for their helpful suggestions.
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Bazhenov, N., Mustafa, M., Ospichev, S. (2019). Bounded Reducibility for Computable Numberings. In: Manea, F., Martin, B., Paulusma, D., Primiero, G. (eds) Computing with Foresight and Industry. CiE 2019. Lecture Notes in Computer Science(), vol 11558. Springer, Cham. https://doi.org/10.1007/978-3-030-22996-2_9
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