A continuous function x on the unit interval is a generic Brownian motion when every probabilistic event which holds almost surely with respect to the Wiener measure is reflected in x, provided that the event has a suitably effective description. We show that a generic one-dimensional Brownian motio
The Descriptive Complexity Approach to LOGCFL
β Scribed by Clemens Lautemann; Pierre McKenzie; Thomas Schwentick; Heribert Vollmer
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 235 KB
- Volume
- 62
- Category
- Article
- ISSN
- 0022-0000
No coin nor oath required. For personal study only.
β¦ Synopsis
Building upon the known generalized-quantifier-based first-order characterization of LOGCFL, we lay the groundwork for a deeper investigation. Specifically, we examine subclasses of LOGCFL arising from varying the arity and nesting of groupoidal quantifiers in first-order logic with linear order. Our work extends the elaborate theory relating monoidal quantifiers to NC 1 and its subclasses. In the absence of arithmetical predicates for plus and times (equivalently, in the absence of the BIT predicate), we resolve the main issues: we show in particular that no single outermost unary groupoidal quantifier with FO can capture all the context-free languages, and we obtain the surprising result that a variant of Greibach's hardest context-free language is LOGCFL-complete under quantifier-free reductions without arithmetic. We then prove that FO with unary groupoidal quantifiers is strictly more expressive with predicates for plus and times than without. Considering a particular groupoidal quantifier, we prove that first-order logic with the ``majority of pairs'' quantifier is strictly more expressive than first-order with majority of individuals. As a technical tool of independent interest, we define
π SIMILAR VOLUMES
## Abstract In this paper, we associate an applicability domain (AD) of QSAR/QSPR models with the area in the input (descriptor) space in which the density of training data points exceeds a certain threshold. It could be proved that the predictive performance of the models (built on the training se
## Abstract The cranial base is one of the major foci of interest in functional craniology. The evolution and morphogenesis of this structure are still poorly known and rather controversial because of multifactorial influences and polyphasic stages. Endocranial dynamics are associated anteriorly wi