Masters Theses
Keywords and Phrases
Anomalous diffusion; Fractional Brownian motion; Random walk
Abstract
"Fractional Brownian Motion (FBM) is a Gaussian process whose increments are correlated over long times. FBM is an example of anomalous diffusion, and recently it has been used to model the distribution of serotonergic fibers in the brain [1, 2]. To better represent these fibers, branching FBM (bFBM), where FBM trajectories may randomly split into two, is introduced. One-dimensional bFBM is studied in both sub diffusive and super diffusive regimes, examining three potential behaviors of the correlations (memory) in a branching event: both trajectories retain the memory of previous steps, only one keeps the memory, and neither keeps the memory. Trajectories' mean-square displacements are calculated, as well as the mean-square separation and step correlations between pairs of branching trajectories and found to be in good agreement with theoretical predictions. Branching FBM's qualitative features' strong dependence on memory behavior is confirmed" -- Abstract, p. iii
Advisor(s)
Vojta, Thomas
Committee Member(s)
Yamilov, Alexey
Chernatynskiy, Aleksandr V.
Department(s)
Physics
Degree Name
M.S. in Physics
Publisher
Missouri University of Science and Technology
Publication Date
Summer 2024
Pagination
vi, 42 pages
Note about bibliography
Includes_bibliographical_references_(pages 40-41)
Rights
©2024 Reece Beattie-Hauser , All Rights Reserved
Document Type
Thesis - Open Access
File Type
text
Language
English
Thesis Number
T 12373
Electronic OCLC #
1460021606
Recommended Citation
Beattie-Hauser, Reece, "Branching Fractional Brownian Motion" (2024). Masters Theses. 8199.
https://scholarsmine.mst.edu/masters_theses/8199