Maximum Entropy on Compact Groups

In a compact group the Haar probability measure plays the role of uniform distribution. The entropy and rate distortion theory for this uniform distribution is studied. New results and simplified proofs on convergence of convolutions on compact groups are presented and they can be formulated as entr...

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Main Author: Peter Harremoës
Format: Article
Language:English
Published: MDPI AG 2009-04-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/11/2/222/
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spelling doaj-744814052b6340e6a2a73fe85a2306b62020-11-24T23:58:49ZengMDPI AGEntropy1099-43002009-04-0111222223710.3390/e11020222Maximum Entropy on Compact GroupsPeter HarremoësIn a compact group the Haar probability measure plays the role of uniform distribution. The entropy and rate distortion theory for this uniform distribution is studied. New results and simplified proofs on convergence of convolutions on compact groups are presented and they can be formulated as entropy increases to its maximum. Information theoretic techniques and Markov chains play a crucial role. The convergence results are also formulated via rate distortion functions. The rate of convergence is shown to be exponential. http://www.mdpi.com/1099-4300/11/2/222/Compact groupConvolutionHaar measureInformation divergenceMaximum entropyRate distortion functionRate of convergenceSymmetry
collection DOAJ
language English
format Article
sources DOAJ
author Peter Harremoës
spellingShingle Peter Harremoës
Maximum Entropy on Compact Groups
Entropy
Compact group
Convolution
Haar measure
Information divergence
Maximum entropy
Rate distortion function
Rate of convergence
Symmetry
author_facet Peter Harremoës
author_sort Peter Harremoës
title Maximum Entropy on Compact Groups
title_short Maximum Entropy on Compact Groups
title_full Maximum Entropy on Compact Groups
title_fullStr Maximum Entropy on Compact Groups
title_full_unstemmed Maximum Entropy on Compact Groups
title_sort maximum entropy on compact groups
publisher MDPI AG
series Entropy
issn 1099-4300
publishDate 2009-04-01
description In a compact group the Haar probability measure plays the role of uniform distribution. The entropy and rate distortion theory for this uniform distribution is studied. New results and simplified proofs on convergence of convolutions on compact groups are presented and they can be formulated as entropy increases to its maximum. Information theoretic techniques and Markov chains play a crucial role. The convergence results are also formulated via rate distortion functions. The rate of convergence is shown to be exponential.
topic Compact group
Convolution
Haar measure
Information divergence
Maximum entropy
Rate distortion function
Rate of convergence
Symmetry
url http://www.mdpi.com/1099-4300/11/2/222/
work_keys_str_mv AT peterharremoes maximumentropyoncompactgroups
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