DocumentCode
2948063
Title
Non-Gaussian asymptotic minimizers in entropic uncertainty principles and the dimensional effect
Author
Zozor, Steeve ; Vignat, Christophe
Author_Institution
Lab. des Images et des Signaux, St. Martin d´´Heres
fYear
2006
fDate
9-14 July 2006
Firstpage
2085
Lastpage
2089
Abstract
In this paper we revisit the Bialynicki-Birula & Mycielski uncertainty principle (I. Bialynicki-Birula and J. Mycielski, 1975) and the associated cases of equality. This Shannon entropic version of the well-known Heisenberg inequality can be used when dealing with variables that admit no variance. In this paper, we extend this uncertainty principle to Renyi entropies. We recall that in both cases, equality occurs only for Gaussian random variables. However, we show that in the particular n-dimensional Laplace case, the bound is asymptotically attained as n grows. We also show numerically that this effect exists for Cauchy variables whatever the Renyi entropy considered, extending the results of S. Abe and A.K. Rajagopal (2001), These two cases are interesting since they show that this asymptotic behavior cannot be considered as a "Gaussianization" of the variable when the dimension increases, so that the effect is rather "dimensional"
Keywords
Gaussian processes; entropy; Gaussian random variables; Heisenberg inequality; Renyi entropies; Shannon entropy; entropic uncertainty principles; n-dimensional Laplace; nonGaussian asymptotic minimizers; Entropy; Fourier transforms; Gaussian processes; Linear matrix inequalities; Probability density function; Random variables; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2006 IEEE International Symposium on
Conference_Location
Seattle, WA
Print_ISBN
1-4244-0505-X
Electronic_ISBN
1-4244-0504-1
Type
conf
DOI
10.1109/ISIT.2006.261918
Filename
4036336
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