Date of Completion
Fractals, Dirichlet Forms, Self-Similar groups, Graphs, Metric Geometry, Probability, Neural Networks
Field of Study
Doctor of Philosophy
Our study of the analysis on fractals is broken into three parts: Analysis of post- critically finite (p.c.f.) fractals, non-p.c.f. fractals and applications to Neurobiology. In the first chapter, we focus on how to construct and compute the harmonic structure on p.c.f. fractals. In the second chapter we calculate the spectrum of the Laplacian on an infinite class of fractals. In chapter 3 we discuss the relationship between p.c.f. self-similar structures and self-similar groups. In chapter 4 we discuss a new example of a non-p.c.f. fractal, namely the hexacarpet. Finally in chapter 5 we discuss applications of this analysis to analyzing neural networks.
Kelleher, Daniel J., "Geometric Methods in Analysis on Fractals" (2014). Doctoral Dissertations. 446.