Index Sets of Computable Structures

Mathematics – Logic

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

The \emph{index set} of a computable structure $\mathcal{A}$ is the set of indices for computable copies of $\mathcal{A}$. We determine the complexity of the index sets of various mathematically interesting structures, including arbitrary finite structures, $\mathbb{Q}$-vector spaces, Archimedean real closed ordered fields, reduced Abelian $p$-groups of length less than $\omega^{2}$, and models of the original Ehrenfeucht theory. The index sets for these structures all turn out to be $m$-complete $\Pi_{n}^{0}$, $d$-$\Sigma_{n}^{0}$, or $\Sigma_{n}^{0}$, for various $n$. In each case, the calculation involves finding an \textquotedblleft optimal\textquotedblright% \ sentence (i.e., one of simplest form) that describes the structure. The form of the sentence (computable $\Pi_{n}$, $d$-$\Sigma_{n}$, or $\Sigma_{n}$) yields a bound on the complexity of the index set. When we show $m$% -completeness of the index set, we know that the sentence is optimal. For some structures, the first sentence that comes to mind is not optimal, and another sentence of simpler form is shown to serve the purpose. For some of the groups, this involves Ramsey theory.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Index Sets of Computable Structures does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Index Sets of Computable Structures, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Index Sets of Computable Structures will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-528745

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.