On the Poisson distribution of lengths of lattice vectors in a random lattice
Anders S\"odergren

TL;DR
This paper proves that in high-dimensional random lattices, the distribution of lengths of non-zero vectors converges to a Poisson process, extending previous results by Rogers and Schmidt.
Contribution
It generalizes earlier findings by demonstrating the Poisson distribution of lattice vector lengths in high dimensions for random lattices.
Findings
Lengths of lattice vectors form a Poisson process as dimension increases
Convergence to Poisson process is established in high-dimensional limit
Extends previous results by Rogers and Schmidt
Abstract
We prove that the volumes determined by the lengths of the non-zero vectors in a random lattice L of covolume 1 define a stochastic process that, as the dimension n tends to infinity, converges weakly to a Poisson process on the positive real line with intensity 1/2. This generalizes earlier results by Rogers and Schmidt.
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Taxonomy
TopicsPoint processes and geometric inequalities · Stochastic processes and statistical mechanics · Bayesian Methods and Mixture Models
