Abstract

The theory of persistent homology (PH), introduced by Edelsbrunner, Letscher, and Zomorodian in [1], provides a framework for extracting topological information from experimental data. This framework was then expanded by Carlsson and Zomorodian in [2] to allow for multiple parameters of analysis with the theory of multidimensional persistent homology (MPH). This particular generalization is considerably more difficult to compute and to apply than its predecessor. We introduce an intermediate theory, coordinated persistent homology (CPH), that allows for multiple parameters while still preserving the clarity and coherence of PH. In addition to introducing the basic theory, we provide a polynomial time algorithm to compute CPH for time series and prove several important theorems about the nature of CPH. We also describe an application of the theory to a problem in seismology.

Degree

PhD

College and Department

Physical and Mathematical Sciences

Rights

https://lib.byu.edu/about/copyright/

Date Submitted

2019-12-04

Document Type

Dissertation

Handle

http://hdl.lib.byu.edu/1877/etd11753

Keywords

persistent homology, multidimensional persistent homology, coordinated persistent homology, multiltrations, time series

Language

english

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