Cerbus, Rory
(2015)
Information Perspective on Turbulence.
Doctoral Dissertation, University of Pittsburgh.
(Unpublished)
Abstract
Turbulence is a complex system. Information theory, and the more recently developed computational mechanics, provide quantitative tools for quantifying this ``complexity" in terms of predictability. This thesis is concerned with using these tools with experimental turbulence data. The focus will be on two-dimensional turbulence, but other (mostly turbulent) systems are treated as well. The role of information theory in physical systems in general will also be discussed. This framework is general and easily applicable to almost any other kind of system, as will be shown.
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Details
| Item Type: |
University of Pittsburgh ETD
|
| Status: |
Unpublished |
| Creators/Authors: |
|
| ETD Committee: |
|
| Date: |
9 January 2015 |
| Date Type: |
Publication |
| Defense Date: |
4 November 2014 |
| Approval Date: |
9 January 2015 |
| Submission Date: |
15 October 2014 |
| Access Restriction: |
No restriction; Release the ETD for access worldwide immediately. |
| Number of Pages: |
101 |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
Dietrich School of Arts and Sciences > Physics |
| Degree: |
PhD - Doctor of Philosophy |
| Thesis Type: |
Doctoral Dissertation |
| Refereed: |
Yes |
| Uncontrolled Keywords: |
turbulence, information theory, entropy, predictability, unpredictability |
| Date Deposited: |
09 Jan 2015 21:45 |
| Last Modified: |
15 Nov 2016 14:24 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/23240 |
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