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Non-Commutative Probability for the Spectral Analysis of Simplicial Complexes

dc.contributor.advisorWang, Jiun-Chau
dc.contributor.committeeMemberRayan, Steven
dc.contributor.committeeMemberVargas, Carlos
dc.contributor.committeeMemberSzmigielski, Jacek
dc.creatorBarba de la Mora, Diego 1995-
dc.date.accessioned2019-09-16T17:47:19Z
dc.date.available2019-09-16T17:47:19Z
dc.date.created2019-11
dc.date.issued2019-09-16
dc.date.submittedNovember 2019
dc.date.updated2019-09-16T17:47:19Z
dc.description.abstractFree probability theory, invented by Voiculescu, and greatly expanded by Speicher, is a young and active area of research with numerous applications in pure and applied mathematics. This Master thesis is a comprehensive study of a specific result in the recent preprint by C. Vargas, in which Vargas presents a survey of applications of non-commutative and free probability to topological data analysis. The relevant result from the preprint reveals a new interpretation of Betti numbers for simplicial complexes in terms of distributions in an operator-valued probability space. This thesis is mostly an exposition of the areas of free probability and algebraic topology; here, we do not present cutting-edge research in either free probability or algebraic topology. The author did a literature review for both fields and presents here the results in a comprehensive way along with detailed proofs and motivating examples that one may not find in a research paper. We believe that this thesis would help researchers to quickly grasp the main ideas and tools in both fields, and we hope it will help to advance the research in both areas and to develop applications in related areas.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10388/12316
dc.subjectNon-commutative probability
dc.subjectfree probability
dc.subjectsimplicial complexes
dc.subjectHodge theorem
dc.subjectTopological Data Analysis
dc.titleNon-Commutative Probability for the Spectral Analysis of Simplicial Complexes
dc.typeThesis
dc.type.materialtext
thesis.degree.departmentMathematics and Statistics
thesis.degree.disciplineMathematics
thesis.degree.grantorUniversity of Saskatchewan
thesis.degree.levelMasters
thesis.degree.nameMaster of Science (M.Sc.)

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