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Quantifying inhomogeneity in fractal sets

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Fraser_2018_Quantifying_Nonlinearity_AAM.pdf (427.1Kb)
Date
04/2018
Author
Fraser, Jonathan
Todd, Michael John
Keywords
Large deviations
Assouad dimension
Box dimension
Self-affine carpet
QA Mathematics
NDAS
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Abstract
An inhomogeneous fractal set is one which exhibits different scaling behaviour at different points. The Assouad dimension of a set is a quantity which finds the ‘most difficult location and scale’ at which to cover the set and its difference from box dimension can be thought of as a first-level overall measure of how inhomogeneous the set is. For the next level of analysis, we develop a quantitative theory of inhomogeneity by considering the measure of the set of points around which the set exhibits a given level of inhomogeneity at a certain scale. For a set of examples, a family of ( ×m, ×n )-invariant subsets of the 2-torus, we show that this quantity satisfies a Large Deviations Principle. We compare members of this family, demonstrating how the rate function gives us a deeper understanding of their inhomogeneity.
Citation
Fraser , J & Todd , M J 2018 , ' Quantifying inhomogeneity in fractal sets ' , Nonlinearity , vol. 31 , no. 4 , pp. 1313-1330 . https://doi.org/10.1088/1361-6544/aa9ee6
Publication
Nonlinearity
Status
Peer reviewed
DOI
https://doi.org/10.1088/1361-6544/aa9ee6
ISSN
0951-7715
Type
Journal article
Rights
© 2018, IOP Publishing Ltd & London Mathematical Society. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1088/1361-6544/aa9ee6
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/17098

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