Discrete Gaussian measures and new bounds of the smoothing parameter for lattices

In this paper, we start with a discussion of discrete Gaussian measures on lattices. Several results of Banaszczyk are analyzed, a simple form of uncertainty principle for discrete Gaussian measure is formulated. In the second part of the paper we prove two new bounds for the smoothing parameter of...

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Published in:Applicable algebra in engineering, communication and computing Vol. 32; no. 5; pp. 637 - 650
Main Authors: Zheng, Zhongxiang, Zhao, Chunhuan, Xu, Guangwu
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2021
Springer Nature B.V
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ISSN:0938-1279, 1432-0622
Online Access:Get full text
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Summary:In this paper, we start with a discussion of discrete Gaussian measures on lattices. Several results of Banaszczyk are analyzed, a simple form of uncertainty principle for discrete Gaussian measure is formulated. In the second part of the paper we prove two new bounds for the smoothing parameter of lattices. Under the natural assumption that ε is suitably small, we obtain two estimations of the smoothing parameter: η ε ( Z ) ≤ ln ( ε 44 + 2 ε ) π . This is a practically useful case. For this case, our upper bound is very close to the exact value of η ε ( Z ) in that ln ( ε 44 + 2 ε ) π - η ε ( Z ) ≤ ε 2 552 . For a lattice L ⊂ R n of dimension n , η ε ( L ) ≤ ln ( n - 1 + 2 n ε ) π bl ~ ( L ) .
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ISSN:0938-1279
1432-0622
DOI:10.1007/s00200-020-00417-z