Stability for Effective Algebras
Author(s) -
Jens Blanck,
V. Stoltenberg-Hansen,
John V. Tucker
Publication year - 2008
Publication title -
electronic notes in theoretical computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.242
H-Index - 60
ISSN - 1571-0661
DOI - 10.1016/j.entcs.2008.12.002
Subject(s) - mathematics , subalgebra , limit (mathematics) , computable number , continuation , computable analysis , pure mathematics , limit point , stability (learning theory) , operator (biology) , discrete mathematics , algebra over a field , computable function , computer science , mathematical analysis , biochemistry , chemistry , repressor , machine learning , transcription factor , programming language , gene
We give a general method for showing that all numberings of certain effective algebras are recursively equivalent. The method is based on computable approximation-limit pairs. The approximations are elements of a finitely generated subalgebra, and obtained by computable (non-deterministic) selection. The results are a continuation of the work by Mal'cev, who, for example, showed that finitely generated semicomputable algebras are computably stable. In particular, we generalise the result that the recursive reals are computably stable, if the limit operator is assumed to be computable, to spaces constructed by inverse limits.
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