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On The Uncertainty Relation for Positive-Definite Probability Densities, II

 

作者: Werner Ehm,   Gneiting Tilmann,   Richards Donald,  

 

期刊: Statistics  (Taylor Available online 1999)
卷期: Volume 33, issue 3  

页码: 267-286

 

ISSN:0233-1888

 

年代: 1999

 

DOI:10.1080/02331889908802694

 

出版商: Taylor & Francis Group

 

关键词: 60E05;60E10;42A82;Adjoint density;characteristic function;convolution root;Fourier transform;Laue's constant;mixture;positive-definite;uncertainty principle

 

数据来源: Taylor

 

摘要:

Letdenote the class of probability density functions onwith a nonnegative and integrable characteristic function. To each, there is an adjoint density, which is proportional to the characteristic function ofp. The productshave a greatest lower bound Λ, and it is known that 0.5276 < Λ < 0.8571. Several approaches to sharpen these bounds are discussed. In particular, a variational problem is considered, in whichpis supposed to have a certain compactly supported convolution root, and which leads to an improved upper estimate, Λ < 0.8567 … The paper closes with a proposal for a multivariate analogue of the uncertainty relation.

 

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