Recent Progresses in Characterising Information Inequalities

In this paper, we present a revision on some of the recent progresses made in characterising and understanding information inequalities, which are the fundamental physical laws in communications and compression. We will begin with the introduction of a geometric framework for information inequalitie...

Full description

Bibliographic Details
Main Author: Terence Chan
Format: Article
Language:English
Published: MDPI AG 2011-01-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/13/2/379/
id doaj-47742c6248d8468f8684764ad7d66599
record_format Article
spelling doaj-47742c6248d8468f8684764ad7d665992020-11-25T01:41:54ZengMDPI AGEntropy1099-43002011-01-0113237940110.3390/e13020379Recent Progresses in Characterising Information InequalitiesTerence ChanIn this paper, we present a revision on some of the recent progresses made in characterising and understanding information inequalities, which are the fundamental physical laws in communications and compression. We will begin with the introduction of a geometric framework for information inequalities, followed by the first non-Shannon inequality proved by Zhang et al. in 1998 [1]. The discovery of this non-Shannon inequality is a breakthrough in the area and has led to the subsequent discovery of many more non-Shannon inequalities. We will also review the close relations between information inequalities and other research areas such as Kolmogorov complexity, determinantal inequalities, and group-theoretic inequalities. These relations have led to non-traditional techniques in proving information inequalities and at the same time made impacts back onthose related areas by the introduction of information-theoretic tools. http://www.mdpi.com/1099-4300/13/2/379/determinantal inequalitiesGreene’s TheoremKolmogorov complexityquasi-uniformityShannon entropiessubspace rank inequalities
collection DOAJ
language English
format Article
sources DOAJ
author Terence Chan
spellingShingle Terence Chan
Recent Progresses in Characterising Information Inequalities
Entropy
determinantal inequalities
Greene’s Theorem
Kolmogorov complexity
quasi-uniformity
Shannon entropies
subspace rank inequalities
author_facet Terence Chan
author_sort Terence Chan
title Recent Progresses in Characterising Information Inequalities
title_short Recent Progresses in Characterising Information Inequalities
title_full Recent Progresses in Characterising Information Inequalities
title_fullStr Recent Progresses in Characterising Information Inequalities
title_full_unstemmed Recent Progresses in Characterising Information Inequalities
title_sort recent progresses in characterising information inequalities
publisher MDPI AG
series Entropy
issn 1099-4300
publishDate 2011-01-01
description In this paper, we present a revision on some of the recent progresses made in characterising and understanding information inequalities, which are the fundamental physical laws in communications and compression. We will begin with the introduction of a geometric framework for information inequalities, followed by the first non-Shannon inequality proved by Zhang et al. in 1998 [1]. The discovery of this non-Shannon inequality is a breakthrough in the area and has led to the subsequent discovery of many more non-Shannon inequalities. We will also review the close relations between information inequalities and other research areas such as Kolmogorov complexity, determinantal inequalities, and group-theoretic inequalities. These relations have led to non-traditional techniques in proving information inequalities and at the same time made impacts back onthose related areas by the introduction of information-theoretic tools.
topic determinantal inequalities
Greene’s Theorem
Kolmogorov complexity
quasi-uniformity
Shannon entropies
subspace rank inequalities
url http://www.mdpi.com/1099-4300/13/2/379/
work_keys_str_mv AT terencechan recentprogressesincharacterisinginformationinequalities
_version_ 1725039037817815040