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Wayne State University

A Topological Study Of Stochastic Dynamics On CW Complexes

Abstract

dc:description.abstract

<p>In this dissertation, we consider stochastic motion of subcomplexes of a CW complex, and explore the implications on the underlying space. The random process on the complex is motivated from Ito diffusions on smooth manifolds and Langevin processes in physics. We associate a Kolmogorov equation to this process, whose solutions can be interpretted in terms of generalizations of electrical, as well as stochastic, current to higher dimensions. These currents also serve a key function in relating the random process to the topology of the complex. We show the average current generated by such a process can be written in a physically familiar form, consisting of the solution to Kirchhoff’s network problem and the Boltzmann distribution, suitably generalized to arbitrary dimensions. We analyze these two components in detail, and discover they reveal an unexpected amount of information about the topology of the CW complex. The main result is a quantization result for the average current in the low temperature, adiabatic limit. As an application, we express the Reidemeister torsion of the complex, a topological invariant, in terms of these quantities.</p>

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Open Access Dissertation
Discipline thesis:degree_discipline
Mathematics
Year dc:date.available
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Catanzaro, Michael Joseph
Contributors dc:contributor
  • Vladimir Y. Chernyak
  • John R. Klein

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:digitalcommons.wayne.edu:oa_dissertations-2432

Chain of custody

source
Harvested from
Wayne State University
Base URL
digitalcommons.wayne.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Catanzaro, Michael Joseph. A Topological Study Of Stochastic Dynamics On CW Complexes. Open Access Dissertation thesis, 2016. https://digitalcommons.wayne.edu/oa_dissertations/1433