Lower bounds and complete problems in nondeterministic linear time and sublinear space complexity classes

dc.creatorChapdelaine, Philippe
dc.creatorGrandjean, Etienne
dc.date2006-06-13
dc.date.accessioned2026-07-07T07:13:04Z
dc.date.available2026-07-07T07:13:04Z
dc.descriptionProving lower bounds remains the most difficult of tasks in computational complexity theory. In this paper, we show that whereas most natural NP-complete problems belong to NLIN (linear time on nondeterministic RAMs), some of them, typically the planar versions of many NP-complete problems are recognized by nondeterministic RAMs in linear time and sublinear space. The main results of this paper are the following: as the second author did for NLIN, we give exact logical characterizations of nondeterministic polynomial time-space complexity classes; we derive from them a class of problems, which are complete in these classes, and as a consequence of such a precise result and of some recent separation theorems using diagonalization, prove time-space lower bounds for these problems.
dc.description19 pages, 4 figures
dc.identifierhttps://arxiv.org/abs/cs/0606058
dc.identifierhttp://arxiv.org/abs/cs/0606058
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/112307
dc.subjectComputational Complexity
dc.subjectLogic in Computer Science
dc.subjectF.1.3; F.4.1
dc.titleLower bounds and complete problems in nondeterministic linear time and sublinear space complexity classes
dc.typetext

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