Generalized Mutual Information
Mutual information is one of the essential building blocks of information theory. It is however only finitely defined for distributions in a subclass of the general class of all distributions on a joint alphabet. The unboundedness of mutual information prevents its potential utility from being exten...
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Format: | Article |
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MDPI AG
2020-06-01
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Series: | Stats |
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Online Access: | https://www.mdpi.com/2571-905X/3/2/13 |
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author | Zhiyi Zhang |
author_facet | Zhiyi Zhang |
author_sort | Zhiyi Zhang |
collection | DOAJ |
description | Mutual information is one of the essential building blocks of information theory. It is however only finitely defined for distributions in a subclass of the general class of all distributions on a joint alphabet. The unboundedness of mutual information prevents its potential utility from being extended to the general class. This is in fact a void in the foundation of information theory that needs to be filled. This article proposes a family of generalized mutual information whose members are indexed by a positive integer <i>n</i>, with the <i>n</i>th member being the mutual information of <i>n</i>th order. The mutual information of the first order coincides with Shannon’s, which may or may not be finite. It is however established (a) that each mutual information of an order greater than 1 is finitely defined for all distributions of two random elements on a joint countable alphabet, and (b) that each and every member of the family enjoys all the utilities of a finite Shannon’s mutual information. |
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format | Article |
id | doaj.art-f5eacff38fe14834a06e7c071bc99c3d |
institution | Directory Open Access Journal |
issn | 2571-905X |
language | English |
last_indexed | 2024-03-10T19:16:32Z |
publishDate | 2020-06-01 |
publisher | MDPI AG |
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series | Stats |
spelling | doaj.art-f5eacff38fe14834a06e7c071bc99c3d2023-11-20T03:24:49ZengMDPI AGStats2571-905X2020-06-013215816510.3390/stats3020013Generalized Mutual InformationZhiyi Zhang0Department of Mathematics and Statistics, University of North Carolina at Charlotte, Charlotte, NC 28223, USAMutual information is one of the essential building blocks of information theory. It is however only finitely defined for distributions in a subclass of the general class of all distributions on a joint alphabet. The unboundedness of mutual information prevents its potential utility from being extended to the general class. This is in fact a void in the foundation of information theory that needs to be filled. This article proposes a family of generalized mutual information whose members are indexed by a positive integer <i>n</i>, with the <i>n</i>th member being the mutual information of <i>n</i>th order. The mutual information of the first order coincides with Shannon’s, which may or may not be finite. It is however established (a) that each mutual information of an order greater than 1 is finitely defined for all distributions of two random elements on a joint countable alphabet, and (b) that each and every member of the family enjoys all the utilities of a finite Shannon’s mutual information.https://www.mdpi.com/2571-905X/3/2/13mutual informationShannon’s entropyconditional distribution of total collisiongeneralized entropygeneralized mutual information |
spellingShingle | Zhiyi Zhang Generalized Mutual Information Stats mutual information Shannon’s entropy conditional distribution of total collision generalized entropy generalized mutual information |
title | Generalized Mutual Information |
title_full | Generalized Mutual Information |
title_fullStr | Generalized Mutual Information |
title_full_unstemmed | Generalized Mutual Information |
title_short | Generalized Mutual Information |
title_sort | generalized mutual information |
topic | mutual information Shannon’s entropy conditional distribution of total collision generalized entropy generalized mutual information |
url | https://www.mdpi.com/2571-905X/3/2/13 |
work_keys_str_mv | AT zhiyizhang generalizedmutualinformation |