PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 29, 2026Entropy0 citationsOpen Access

On (n,k)-Simple Random Integer Lattices

View Full Paper
GHGengran Hu

Key Points

  • This work aims to introduce and analyze (n,k)-simple random integer lattices, bridging gaps in existing models.
  • Introduced (n,k)-simple random integer lattice model with fixed diagonal entries in Hermite Normal Form.
  • Derived asymptotic counting formula for these lattices and computed their density.
  • Developed a generation algorithm using rejection sampling and inverse sampling methods.
  • Achieved O(n²) expected running time for the generation algorithm.
  • Demonstrated that approximately 44% of random integer lattices can form a simple HNF.
  • Established a theoretical basis for structured random lattices with specific properties.

Abstract

Random integer lattices are fundamental to lattice-based cryptography and algorithmic number theory. A new random integer lattice model, free of any restrictions on the Hermite Normal Form (HNF), was introduced by in 2016. It was also observed that the probability of such a lattice being in a simple HNF form is approximately 44%. In this paper, the gap between general random integer lattices and those in a simple HNF is bridged by introducing the concept of the (n,k)-simple random integer lattice, where the first k diagonal entries of the HNF are fixed to 1. We derive the asymptotic counting formula for such lattices and compute their density among all integer lattices. Furthermore, a generation algorithm for the (n,k)-simple random integer lattice based on rejection sampling and inverse sampling methods are proposed, with the analysis showing that it achieves O(n2) expected running time. This work provides a theoretical foundation and practical toolkit for constructing structured random lattices with controlled HNF forms.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Gengran Hu (2026) studied this question.

synapsesocial.com/papers/6a192df7fab5b468c4416f6ahttps://doi.org/10.3390/e28060600
Ask AI
Helpful
Bookmark
Share
View Full Paper