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Terry A. Loring
Rényi dimension and Gaussian filtering
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Published: |
July 17, 2007
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Keywords: |
Rényi dimension, fractal, regular variation, least squares, Laplacian pyramid, convolution, Gaussian, Matuszewska indices |
Subject: |
28A80, 28A78 |
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Abstract
Consider the partition function Sμq(ε) associated
in the theory of Rényi dimension to a finite Borel measure μ
on Euclidean d-space. This partition function Sμq(ε)
is the sum of the q-th powers of the measure applied to a partition
of d-space into d-cubes of width ε. We further Guérin's
investigation of the relation between this partition function and
the Lebesgue Lp norm (Lq norm) of the convolution of μ
against an approximate identity of Gaussians. We prove a Lipschitz-type
estimate on the partition function. This bound on the partition function
leads to results regarding the computation of Rényi dimension. It
also shows that the partition function is of O-regular variation.
We find situations where one can or cannot replace the partition
function by a discrete version. We discover that the slopes of the
least-square best fit linear approximations to the partition function
cannot always be used to calculate upper and lower Rényi dimension.
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Acknowledgements
This work was supported in part by DARPA Contract N00014-03-1-0900.
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Author information
Department of Mathematics and Statistics, University of New Mexico, Albuquerque, NM 87131, USA
loring@math.unm.edu
http://www.math.unm.edu/~loring/
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