DocumentCode :
659208
Title :
Bounding the entropic region via information geometry
Author :
Yunshu Liu ; Walsh, John MacLaren
Author_Institution :
Dept. of ECE, Drexel Univ., Philadelphia, PA, USA
fYear :
2013
fDate :
9-13 Sept. 2013
Firstpage :
1
Lastpage :
5
Abstract :
This paper suggests that information geometry may form a natural framework to deal with the unknown part of the boundary of entropic region. An application of information geometry shows that distributions associated with Shannon facets can be associated, in the right coordinates, with affine collections of distributions. This observation allows an information geometric reinterpretation of the Shannon-type inequalities as arising from a Pythagorean style relationship. The set of distributions which violate Ingleton´s inequality, and hence are linked with the part of the entropic region which is yet undetermined, is shown also to have a surprising affine information geometric structure in a special case involving four random variables and a certain support. These facts provide strong evidence for the link between information geometry and characterizing the boundary of the entropic region.
Keywords :
affine transforms; entropy; geometry; random processes; Shannon facet; Shannon-type inequality; affine distribution collection; affine information geometric structure; entropic region boundary; information geometry reinterpretation; ingleton inequality; pythagorean style relationship; random variable; Entropy; Information geometry; Joints; Manifolds; Random variables; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Workshop (ITW), 2013 IEEE
Conference_Location :
Sevilla
Print_ISBN :
978-1-4799-1321-3
Type :
conf
DOI :
10.1109/ITW.2013.6691331
Filename :
6691331
Link To Document :
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