Lattice packings through division algebras
Nihar Prakash Gargava

TL;DR
This paper introduces a novel method for constructing lattice packings in certain dimensions by generalizing previous results using division algebras, leading to improved bounds over existing techniques.
Contribution
It develops a new construction of lattice packings via division algebras and extends Siegel's mean value theorem to symmetric lattices, enhancing packing bounds.
Findings
Improved lattice packing bounds in many dimensions
Generalization of Venkatesh's lattice packing results
Development of an analogue of Siegel's mean value theorem for division algebra lattices
Abstract
In this article, we will show the existence of lattice packings in a sparse family of dimensions. This construction will be a generalisation of Venkatesh's lattice packing result. In our construction, we replace the appearance of the cyclotomic number field with a division algebra over the rational field. For this, we develop an analogue of Siegel's mean value theorem over lattices that have a prescribed set of symmetries given by a finite non-commutative group inside the multiplicative subgroup of a division algebra. This approach improves the best known lattice packing bounds in many dimensions.
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Taxonomy
TopicsMathematical Dynamics and Fractals · semigroups and automata theory · Limits and Structures in Graph Theory
