Sharper Bounds on Four Lattice Constants

04/17/2022
by   Jinming Wen, et al.
0

The Korkine–Zolotareff (KZ) reduction, and its generalisations, are widely used lattice reduction strategies in communications and cryptography. The KZ constant and Schnorr's constant were defined by Schnorr in 1987. The KZ constant can be used to quantify some useful properties of KZ reduced matrices. Schnorr's constant can be used to characterize the output quality of his block 2k-reduction and is used to define his semi block 2k-reduction, which was also developed in 1987. Hermite's constant, which is a fundamental constant lattices, has many applications, such as bounding the length of the shortest nonzero lattice vector and the orthogonality defect of lattices. Rankin's constant was introduced by Rankin in 1953 as a generalization of Hermite's constant. It plays an important role in characterizing the output quality of block-Rankin reduction, proposed by Gama et al. in 2006. In this paper, we first develop a linear upper bound on Hermite's constant and then use it to develop an upper bound on the KZ constant. These upper bounds are sharper than those obtained recently by the authors, and the ratio of the new linear upper bound to the nonlinear upper bound, developed by Blichfeldt in 1929, on Hermite's constant is asymptotically 1.0047. Furthermore, we develop lower and upper bounds on Schnorr's constant. The improvement to the lower bound over the sharpest existing one developed by Gama et al. is around 1.7 times asymptotically, and the improvement to the upper bound over the sharpest existing one which was also developed by Gama et al. is around 4 times asymptotically. Finally, we develop lower and upper bounds on Rankin's constant. The improvements of the bounds over the sharpest existing ones, also developed by Gama et al., are exponential in the parameter defining the constant.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
04/20/2019

Improved Upper Bounds on the Hermite and KZ Constants

The Korkine-Zolotareff (KZ) reduction is a widely used lattice reduction...
research
05/31/2021

Halt Properties and Complexity Evaluations for Optimal DeepLLL Algorithm Families

DeepLLL algorithm (Schnorr, 1994) is a famous variant of LLL lattice bas...
research
04/20/2018

On the Post Selection Inference constant under Restricted Isometry Properties

Uniformly valid confidence intervals post model selection in regression ...
research
06/11/2019

Stable Rank Normalization for Improved Generalization in Neural Networks and GANs

Exciting new work on the generalization bounds for neural networks (NN) ...
research
08/20/2018

Use Of Vapnik-Chervonenkis Dimension in Model Selection

In this dissertation, I derive a new method to estimate the Vapnik-Cherv...
research
11/13/2018

On Finding Quantum Multi-collisions

A k-collision for a compressing hash function H is a set of k distinct i...
research
09/04/2019

Complexity of controlled bad sequences over finite powersets of N^k

We provide lower and upper bounds for the length of controlled bad seque...

Please sign up or login with your details

Forgot password? Click here to reset