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Information Perspective on Turbulence

Cerbus, Rory (2015) Information Perspective on Turbulence. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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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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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Cerbus, Roryrtc17@pitt.eduRTC17
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairGoldburg, Waltergoldburg@pitt.eduGOLDBURG
Committee CoChairChakraborty,
Committee MemberWu, Xiao-Lunxlwu@pitt.eduXLWU
Committee MemberJasnow, Davidjasnow@pitt.eduJASNOW
Committee MemberPaolone,
Committee MemberGaroff,
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


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