Numeration systems on a regular language: Arithmetic operations, Recognizability and Formal power series

Computer Science – Computational Complexity

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

34 pages; corrected typos, two sections concerning exponential case and relation with positional systems added

Scientific paper

Generalizations of numeration systems in which N is recognizable by a finite automaton are obtained by describing a lexicographically ordered infinite regular language L over a finite alphabet A. For these systems, we obtain a characterization of recognizable sets of integers in terms of rational formal series. We also show that, if the complexity of L is Theta (n^q) (resp. if L is the complement of a polynomial language), then multiplication by an integer k preserves recognizability only if k=t^{q+1} (resp. if k is not a power of the cardinality of A) for some integer t. Finally, we obtain sufficient conditions for the notions of recognizability and U-recognizability to be equivalent, where U is some positional numeration system related to a sequence of integers.

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

Numeration systems on a regular language: Arithmetic operations, Recognizability and Formal power series 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 Numeration systems on a regular language: Arithmetic operations, Recognizability and Formal power series, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Numeration systems on a regular language: Arithmetic operations, Recognizability and Formal power series will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-61382

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