Bennett, Huck ;
Dadush, Daniel ;
StephensDavidowitz, Noah
On the Lattice Distortion Problem
Abstract
We introduce and study the Lattice Distortion Problem (LDP). LDP asks how "similar" two lattices are. I.e., what is the minimal distortion of a linear bijection between the two lattices? LDP generalizes the Lattice Isomorphism Problem (the lattice analogue of Graph Isomorphism), which simply asks whether the minimal
distortion is one.
As our first contribution, we show that the distortion between any two lattices is approximated up to a n^{O(log(n))} factor by a simple function of their successive minima. Our methods are constructive, allowing us to compute lowdistortion mappings that are within a 2^{O(n*log(log(n))/log(n))} factor of optimal in polynomial time and within a n^{O(log(n))} factor of optimal in singly exponential time. Our algorithms rely on a notion of basis reduction introduced by Seysen (Combinatorica 1993), which we show is intimately related to lattice distortion. Lastly, we show that LDP is NPhard to approximate to within any constant factor (under randomized reductions), by a reduction from the Shortest Vector Problem.
BibTeX  Entry
@InProceedings{bennett_et_al:LIPIcs:2016:6351,
author = {Huck Bennett and Daniel Dadush and Noah StephensDavidowitz},
title = {{On the Lattice Distortion Problem}},
booktitle = {24th Annual European Symposium on Algorithms (ESA 2016)},
pages = {9:19:17},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {9783959770156},
ISSN = {18688969},
year = {2016},
volume = {57},
editor = {Piotr Sankowski and Christos Zaroliagis},
publisher = {Schloss DagstuhlLeibnizZentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2016/6351},
URN = {urn:nbn:de:0030drops63519},
doi = {10.4230/LIPIcs.ESA.2016.9},
annote = {Keywords: lattices, lattice distortion, lattice isomoprhism, geometry of numbers, basis reduction}
}
2016
Keywords: 

lattices, lattice distortion, lattice isomoprhism, geometry of numbers, basis reduction 
Seminar: 

24th Annual European Symposium on Algorithms (ESA 2016)

Issue date: 

2016 
Date of publication: 

2016 