Probability Distributions on a Circle

Loading...
Thumbnail Image

Institution

http://id.loc.gov/authorities/names/n79058482

Degree Level

Master's

Degree

Master of Science

Department

Department of Mathematical and Statistical Sciences

Specialization

Applied Mathematics

Supervisor / Co-Supervisor and Their Department(s)

Citation for Previous Publication

Link to Related Item

Abstract

Distributions of sequences modulo one (mod 1) have been studied over the past century with applications in algebra, number theory, statistics, and computer science. For a given sequence, the weak convergence of the associated empirical distributions has been the usual approach to these studies. In this thesis, we give a formula for calculating the Kantrovich distance between mod 1 probability measures. We then use this distance to study the convergence behavior of the (mod 1) empirical distributions associated with real sequences (xn)∞ n=1 for which limn→∞ n(xn−xn−1) exists. We find that for such sequences, every probability distribution in the limit set of the empirical distributions is a rotated version of a certain exponential distribution. We also describe the speed of convergence to this limit set of distributions.

Item Type

http://purl.org/coar/resource_type/c_46ec

Alternative

License

Other License Text / Link

This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.

Language

en

Location

Time Period

Source