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Universität Leipzig

Characterizations and Probabilistic Representations of Effective Resistance Metrics

Abstract

dc:description.abstract

This thesis studies effective resistances of finite and infinite weighted graphs. Classical results state that it is a metric on the set of vertices of the graph and that it can be expressed completely in terms of the graph’s random walk. The first goal of this thesis is to provide a concise and accessible starting point for new scholars interested in the topic. In that spirit, we reproduce existing results and review different approaches to effective resistances using tools from several fields such as linear algebra, probability theory, geometry and functional analysis. The second goal is to characterize which metric spaces are given by the effective resistance of a graph. For the finite case, we begin by reconstructing the associated graph from the effective resistance. This leads to a complete algebraic characterization in terms of triangle inequality defects. A more geometric condition is given by showing that a metric space can only be an effective resistance if its minimal graph realization contains no incomplete cycles. We also show that our algebraic characterization can be applied to the more general theory of resistance forms as defined by Kigami. The third goal of this thesis is to investigate probabilistic representations of effective resistances. Building on the work of Tetali and Barlow, we characterize under which conditions known representations for finite graphs can be extended to infinite graphs.

Degree

thesis:*
Level thesis:degree_level
thesis.doctoral
Grantor dc:publisher
Universität Leipzig
Year
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Weihrauch, Tobias

Subjects

dc:subject × 5

Chain of custody

source
Harvested from
QUCOSA
Base URL
www.qucosa.de/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Weihrauch, Tobias. Characterizations and Probabilistic Representations of Effective Resistance Metrics. thesis.doctoral thesis, Universität Leipzig, 2020.