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Laplacians of cellular sheaves : theory and applications / Jakob Hansen.

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Dissertations & Theses @ University of Pennsylvania Available online

Dissertations & Theses @ University of Pennsylvania
Format:
Book
Thesis/Dissertation
Author/Creator:
Hansen, Jakob, author.
Contributor:
Ghrist, Robert W., 1969- degree supervisor.
University of Pennsylvania. Department of Applied Mathematics and Computational Science, degree granting institution.
Language:
English
Subjects (All):
Applied mathematics.
Mathematics.
Applied mathematics and computational science--Penn dissertations.
Penn dissertations--Applied mathematics and computational science.
Local Subjects:
Applied mathematics.
Mathematics.
Applied mathematics and computational science--Penn dissertations.
Penn dissertations--Applied mathematics and computational science.
Genre:
Academic theses.
Physical Description:
1 online resource (153 pages)
Contained In:
Dissertations Abstracts International 82-01B.
Place of Publication:
[Philadelphia, Pennsylvania] : University of Pennsylvania ; Ann Arbor : ProQuest Dissertations & Theses, 2020.
Language Note:
English
System Details:
Mode of access: World Wide Web.
text file
Summary:
Cellular sheaves are a discrete model for the theory of sheaves on cell complexes. They carry a canonical cochain complex computing their cohomology. This thesis develops the theory of the Hodge Laplacians of this complex, as well as avenues for their application to concrete engineering and data analysis problems. The sheaf Laplacians so developed are a vast generalization of the graph Laplacians studied in spectral graph theory. As such, they admit generalizations of many results from spectral graph theory and the spectral theory of discrete Hodge Laplacians. A theory of approximation of cellular sheaves is developed, and algorithms for producing spectrally good approximations are given, as well as a generalization of the notion of expander graphs. Sheaf Laplacians allow development of various dynamical systems associated with sheaves, and their behavior is studied. Finally, applications to opinion dynamics, extracting network structure from data, linear control systems, and distributed optimization are outlined.
Notes:
Source: Dissertations Abstracts International, Volume: 82-01, Section: B.
Advisors: Ghrist, Robert W.; Committee members: Victor Preciado; Philip Gressman.
Department: Applied Mathematics and Computational Science.
Ph.D. University of Pennsylvania 2020.
Local Notes:
School code: 0175
ISBN:
9798662382138
Access Restriction:
Restricted for use by site license.
This item must not be sold to any third party vendors.

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