arXiv · 2003.00644
Descriptive complexity of real computation and probabilistic independence logic
Abstract
We introduce a novel variant of BSS machines called Separate Branching BSS machines (S-BSS in short) and develop a Fagin-type logical characterisation for languages decidable in non-deterministic polynomial time by S-BSS machines. We show that NP on S-BSS machines is strictly included in NP on BSS machines and that every NP language on S-BSS machines is a countable union of closed sets in the usual topology of R^n. Moreover, we establish that on Boolean inputs NP on S-BSS machines without real constants characterises a natural fragment of the complexity class existsR (a class of problems polynomial time reducible to the true existential theory of the reals) and hence lies between NP and PSPACE. Finally we apply our results to determine the data complexity of probabilistic independence logic.
Explore related subjects
Keep this discovery
Miika Hannula, Juha Kontinen, Jan Van den Bussche, Jonni Virtema. 2020-03-02. Descriptive complexity of real computation and probabilistic independence logic. https://doi.org/10.1145/3373718.3394773
Cite the original work for its findings. Save a collection to share your selection of sources.