Norm orthogonal bases and invariants of p-adic lattices

IF 1.1 3区 数学 Q1 MATHEMATICS
Chi Zhang , Yingpu Deng , Zhaonan Wang
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引用次数: 0

Abstract

In 2018, the Longest Vector Problem (LVP) and the Closest Vector Problem (CVP) in p-adic lattices were introduced. These problems are closely linked to the orthogonalization process. In this paper, we first prove that every p-adic lattice has an orthogonal basis respect to any given norm, whereas lattices in Euclidean spaces lack such bases in general. It is an improvement on Weil's result. Then, we prove that the sorted norm sequence of orthogonal basis of a p-adic lattice is unique and give definitions to the successive maxima and the escape distance, as the p-adic analogues of the successive minima and the covering radius in Euclidean lattices. Finally, we present deterministic polynomial time algorithms designed for the orthogonalization process, addressing both the LVP and the CVP with the help of an orthogonal basis of the whole vector space.
p进格的范数正交基与不变量
2018年,引入了p进格中的最长向量问题(LVP)和最近向量问题(CVP)。这些问题与正交化过程密切相关。在本文中,我们首先证明了每个p进格对任意给定的范数都有正交基,而欧几里德空间中的格一般缺乏这样的基。这是对韦尔结果的改进。然后,我们证明了p进格的正交基的有序范数序列是唯一的,并给出了连续极大值和逃逸距离的定义,作为欧几里得格中连续极小值和覆盖半径的p进类比。最后,我们提出了为正交化过程设计的确定性多项式时间算法,利用整个向量空间的正交基来解决LVP和CVP。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.20
自引率
9.10%
发文量
333
审稿时长
13.8 months
期刊介绍: Linear Algebra and its Applications publishes articles that contribute new information or new insights to matrix theory and finite dimensional linear algebra in their algebraic, arithmetic, combinatorial, geometric, or numerical aspects. It also publishes articles that give significant applications of matrix theory or linear algebra to other branches of mathematics and to other sciences. Articles that provide new information or perspectives on the historical development of matrix theory and linear algebra are also welcome. Expository articles which can serve as an introduction to a subject for workers in related areas and which bring one to the frontiers of research are encouraged. Reviews of books are published occasionally as are conference reports that provide an historical record of major meetings on matrix theory and linear algebra.
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