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Closed left-r.e. sets

Authors: Sanjay Jain 0001; Frank Stephan 0001; Jason Teutsch;

Closed left-r.e. sets

Abstract

A set is called r-closed left-r.e. iff every set r-reducible to it is also a left-r.e. set. It is shown that some but not all left-r.e. cohesive sets are many–one closed left-r.e. sets. Ascending reductions are many–one reductions via an ascending function; left-r.e. cohesive sets are also ascending closed left-r.e. sets. Furthermore, it is shown that there is a weakly 1-generic many–one closed left-r.e. set. We also consider initial segment complexity of closed left-r.e. sets. We show that initial segment complexity of ascending closed left-r.e. sets is of sublinear order. Furthermore, this is near optimal as for any non-decreasing unbounded recursive function g, there are ascending closed left-r.e. sets A whose plain complexity satisfies C ( A ( 0 ) A ( 1 ) ⋯ A ( n ) ) ⩾ n / g ( n ) for all but finitely many n. The initial segment complexity of a conjunctively (or disjunctively) closed left-r.e. set satisfies, for all ε > 0, for all but finitely many n, C ( A ( 0 ) A ( 1 ) ⋯ A ( n ) ) ⩽ ( 2 + ε ) log ( n ).

Country
Singapore
Keywords

Recursively (computably) enumerable sets and degrees, Left-r.e. sets, Algorithmic randomness and dimension, cohesive sets, Kolmogorov complexity, left-r.e. sets, weakly 1-generic sets, reducibilities, Algorithmic information theory (Kolmogorov complexity, etc.)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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