DocumentCode :
3237283
Title :
Violating the Ingleton inequality with finite groups
Author :
Mao, Wei ; Hassibi, Babak
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
fYear :
2009
fDate :
Sept. 30 2009-Oct. 2 2009
Firstpage :
1053
Lastpage :
1060
Abstract :
It is well known that there is a one-to-one correspondence between the entropy vector of a collection of n random variables and a certain group-characterizable vector obtained from a finite group and n of its subgroups. However, if one restricts attention to abelian groups then not all entropy vectors can be obtained. This is an explanation for the fact shown by Dougherty et al that linear network codes cannot achieve capacity in general network coding problems (since linear network codes form an abelian group). All abelian group-characterizable vectors, and by fiat all entropy vectors generated by linear network codes, satisfy a linear inequality called the Ingleton inequality. In this paper, we study the problem of finding non-abelian finite groups that yield characterizable vectors which violate the Ingleton inequality. Using a refined computer search, we find the symmetric group S5 to be the smallest group that violates the Ingleton inequality. Careful study of the structure of this group, and its subgroups, reveals that it belongs to the Ingleton-violating family PGL(2, p) with primes p ¿ 5, i.e., the projective group of 2×2 nonsingular matrices with entries in Fp. This family of groups is therefore a good candidate for constructing network codes more powerful than linear network codes.
Keywords :
entropy codes; network coding; random codes; Ingleton inequality; Ingleton-violating family; entropy vector; group-characterizable vector; linear network codes; nonabelian finite groups; random variables; Entropy; Linear matrix inequalities; Network coding; Random variables; Symmetric matrices; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication, Control, and Computing, 2009. Allerton 2009. 47th Annual Allerton Conference on
Conference_Location :
Monticello, IL
Print_ISBN :
978-1-4244-5870-7
Type :
conf
DOI :
10.1109/ALLERTON.2009.5394878
Filename :
5394878
Link To Document :
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