Logic Journal of IGPL Advance Access originally published online on January 1, 2009
Logic Journal of IGPL 2009 17(1):131-154; doi:10.1093/jigpal/jzn031
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Approximate formulae for a logic that capture classes of computational complexity
Dpto. de Matemática Aplicada Facultad de Ciencias Universidad de Valladolid Valladolid 47005, Spain E-mail: arratia{at}mac.uva.es
Department of Mathematics and Computer Science Arcadia University 450 S. Easton Road, Glenside, PA 19038-3295, U.S.A. E-mail: ortiz{at}arcadia.edu
| Abstract |
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This paper presents a syntax of approximate formulae suited for the logic with counting quantifiers 


. This logic was formalised by us in [1] where, among other properties, we showed the following facts: (i) In the presence of a built–in (linear) order, 


can describe NP–complete problems and some of its fragments capture the classes P and NL; (ii) weakening the ordering relation to an almost order we can separate meaningful fragments, using a combinatorial tool adapted to these languages.
The purpose of our approximate formulae is to provide a syntactic approximation to the logic 


, enhanced with a built-in order, that should be complementary of the semantic approximation based on almost orders, by means of producing logics where problems are syntactically described within a small counting error. We introduce a concept of strong expressibility based on approximate formulae, and show that for many fragments of 


with built-in order, including ones that capture P and NL, expressibility and strong expressibility are equivalent. We state and prove a Bridge Theorem that links expressibility in fragments of 


over almost-ordered structures to strong expressibility with respect to approximate formulae for the corresponding fragments over ordered structures. A consequence of these results is that proving inexpressibility over fragments of 


with built-in order could be done by proving inexpressibility over the corresponding fragments with built-in almost order, where separation proofs are allegedly easier.
Key Words: Proportional quantifiers approximate formulae almost order expressiveness computational complexity P NL
Received for publication 21 May 2007.
Subject Classification: Logic in computer science, Descriptive Complexity
*Supported by grants Ramón y Cajal (MEC+FEDER-FSE); MOISES (TIN2005-08832-C03-02) and SINGACOM (MTM2004-00958), MEC–Spain
Supported by a Faculty Award Grant from the Christian R. & Mary F. Lindback Foundation, and a Visiting Research Fellowship from University of Valladolid, Spain
