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Smoothness in Codifferential Categories

dc.contributor.authorO'Neill, Keith
dc.contributor.supervisorBlute, Richard
dc.date.accessioned2017-09-27T15:27:09Z
dc.date.available2017-09-27T15:27:09Z
dc.date.issued2017
dc.description.abstractThe Hochschild-Kostant-Rosenberg theorem, which relates the Hochschild homology of an algebra to its modules of differential $n$-forms, can be considered a benchmark for smoothness of an algebra. This notion is used here in the search for a conception of smoothness formulated in the context of codifferential categories, both commutative and noncommutative. Since it is desirable to adapt such a conception to the noncommutative context, the theory of this domain is developed considerably; a significant result in this direction establishes a connection between noncommutative codifferential categories and commutative ones. This investigation necessitates, then, both the formulation of a notion of smoothness for $T$-algebras in codifferential categories and an adaptation of the Hochschild-Kostant-Rosenberg theorem to a wide variety of contexts which includes noncommutative ones. The former consideration fosters both the notion of a smooth monad, and a formulation of Andr\'e-Quillen homology in codifferential categories; the latter engenders a highly adaptable version of the Hochschild-Kostant-Rosenberg theorem. Specifically, it is shown that for any algebra modality there exists a corresponding Hochschild-Kostant-Rosenberg theorem. This includes a version of the theorem for the free associative algebra monad, the conclusion of which is satisfied by noncommutative smooth algebras.en
dc.identifier.urihttp://hdl.handle.net/10393/36703
dc.identifier.urihttp://dx.doi.org/10.20381/ruor-20983
dc.language.isoenen
dc.publisherUniversité d'Ottawa / University of Ottawaen
dc.subjectSmoothnessen
dc.subjectCategory Theoryen
dc.titleSmoothness in Codifferential Categoriesen
dc.typeThesisen
thesis.degree.disciplineSciences / Scienceen
thesis.degree.levelDoctoralen
thesis.degree.namePhDen
uottawa.departmentMathématiques et statistique / Mathematics and Statisticsen

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