Publication:
The critical dimension as an invariant of Type III odometers

dc.contributor.advisor Dooley, Tony en_US
dc.contributor.advisor Greenhill, Catherine en_US
dc.contributor.author Mansfield, Daniel en_US
dc.date.accessioned 2022-03-21T14:03:33Z
dc.date.available 2022-03-21T14:03:33Z
dc.date.issued 2013 en_US
dc.description.abstract Metric entropy is a good invariant for a useful class of measure preserving dynamical systems. This is due to metric entropy's computability and invariance under isomorphism. Many have tried to generalise metric entropy to the larger class of dynamical systems that are null-measure preserving. The problem with these proposed definitions is that they are difficult to compute. In this thesis we take one such entropy, the critical dimension, and show that with certain assumptions it is preserved under the induced transformation. This has far reaching consequences as many transformations between null-measure preserving dynamical systems are induced transformations. Hence many familiar transformations preserve the critical dimension. This allows us to compute the critical dimension for a larger range of dynamical systems, including some ITPFI factors of bounded type. en_US
dc.identifier.uri http://hdl.handle.net/1959.4/53508
dc.language English
dc.language.iso EN en_US
dc.publisher UNSW, Sydney en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/au/ en_US
dc.subject.other Entropy en_US
dc.subject.other Critical dimension en_US
dc.title The critical dimension as an invariant of Type III odometers en_US
dc.type Thesis en_US
dcterms.accessRights open access
dcterms.rightsHolder Mansfield, Daniel
dspace.entity.type Publication en_US
unsw.accessRights.uri https://purl.org/coar/access_right/c_abf2
unsw.identifier.doi https://doi.org/10.26190/unsworks/16823
unsw.relation.faculty Science
unsw.relation.originalPublicationAffiliation Mansfield, Daniel, Mathematics & Statistics, Faculty of Science, UNSW en_US
unsw.relation.originalPublicationAffiliation Dooley, Tony, Mathematics & Statistics, Faculty of Science, UNSW en_US
unsw.relation.originalPublicationAffiliation Greenhill, Catherine, Mathematics & Statistics, Faculty of Science, UNSW en_US
unsw.relation.school School of Mathematics & Statistics *
unsw.thesis.degreetype PhD Doctorate en_US
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