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2017 Fiscal Year Final Research Report

Analysis of probabilistic systems by relational and algebraic methods

Research Project

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Project/Area Number 16K21557
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Theory of informatics
Foundations of mathematics/Applied mathematics
Research InstitutionSojo University

Principal Investigator

TSUMAGARI Norihiro  崇城大学, 総合教育センター, 助教 (70632834)

Research Collaborator FURUSAWA Hitoshi  鹿児島大学, 大学院理工学研究科, 教授 (00357930)
KAWAHARA Yasuo  九州大学, 名誉教授 (90091181)
NISHIZAWA Koki  神奈川大学, 工学部, 准教授 (60455433)
STRUTH Georg  University of Sheffield, Department of Computer Science, Professor
Project Period (FY) 2016-04-01 – 2018-03-31
Keywords確率的システム / 意味論 / 関係理論 / 圏論 / 代数
Outline of Final Research Achievements

(1) Extended the previous results [Tsumagari et al, JLAMP, 2014], we showed that convex composition of convex relations is associative. Because of not assuming totality, we introduced distribution subidentities. (2) We gave relational formalisations of Kleisli, Parikh and Peleg compositions and liftings of multirelations. These results contributed to improve the research (1) above. (3) We introduced Cantor category where is Dedekind category satisfying a few additional axiom, and relationally formulated the axiom of choice and Zorn’s lemma. (4)We generalised various multirelations to "V-relations on the category L" where L has powers and V is an object of L. They includes ordinary binary relation, binary multirelation, probabilistic relation. In addition, we gave the sufficient condition to compose two different types of V-relations.

Free Research Field

理論計算機科学

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Published: 2019-03-29  

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