Given a probability space, we analyze the uncertainty, that is, the amount of information of a finite system, by studying the entropy of the system. We also extend the concept of entropy to a dynamical system by introducing a measure preserving transformation on a probability space. After showing some theorems and applications of entropy theory, we study the concept of ergodicity, which helps us to further analyze the information of the system.
Identifer | oai:union.ndltd.org:csusb.edu/oai:scholarworks.lib.csusb.edu:etd-1464 |
Date | 01 September 2016 |
Creators | Pachas, Erik W |
Publisher | CSUSB ScholarWorks |
Source Sets | California State University San Bernardino |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | Electronic Theses, Projects, and Dissertations |
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