A Danzer set for axis parallel boxes (Q2796746)
From MaRDI portal
| This is the item page for this Wikibase entity, intended for internal use and editing purposes. Please use this page instead for the normal view: A Danzer set for axis parallel boxes |
scientific article; zbMATH DE number 6560798
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | A Danzer set for axis parallel boxes |
scientific article; zbMATH DE number 6560798 |
Statements
A Danzer set for axis parallel boxes (English)
0 references
29 March 2016
0 references
Danzer set
0 references
volume
0 references
growth rate
0 references
aligned boxes
0 references
dense forest
0 references
admissible lattice
0 references
codiameter
0 references
ring of integers
0 references
Galois embeddings
0 references
0 references
0.7267828
0 references
0.7186807
0 references
0 references
0.71109146
0 references
0.7080289
0 references
0.7040986
0 references
0.7030055
0 references
0 references
The starting point of the authors is the question whether a discrete Danzer set in \(\mathbb{R}^d\) of growth rate \(O(T^n)\) exists. Remember that \(D\subseteq \mathbb{R}^n\) is a Danzer set whenever, for some \(s>0\), \(D\) intersects every convex set of volume \(s\). Their approach to this problem consists of considering a smaller family of sets, the align-Danzer sets (intersecting every aligned box \([a_1,b_1]\times\cdots\times[a_n,b_n]\) of volume \(s\)). In this setting, they provide concrete constructions of discrete align-Denzer sets having growth rate \(O(T^n)\).NEWLINENEWLINEWhen \(n=2\) they give (Theorem 1.1) an align-Danzer set which is a variant of the binary version of van der Corput sequence (see [\textit{J. G. van der Corput}, Proc. Akad. Wet. Amsterdam 38, 813--821 (1935; Zbl 0012.34705)]), having growth rate \(O(T^2).\) According to the authors, ``although the set \(D\) in Theorem 1.1 is given very explicitly, and the proof is by elementary means, it only solves the problem in dimension \(2\), and no simple higher-dimensional extension comes to mind'', so in higher dimensions (Theorem 1.3) they opt for an approach based on admissible lattices in \(\mathbb R^n.\) Again, the construction is not new (in fact, their Theorem 1.3 is immediate from Theorem 1.2 in [\textit{M. M. Skriganov}, Invent. Math. 132, No. 1, 1--72 (1998; Zbl 0902.11041)]), but their merit relies on the fact of connecting these sets with Danzer's problem. Finally, applying the above results they reprove a result in computational geometry, namely, Corollary 1.4: For every \(\varepsilon >0\) there are \(\varepsilon\)-nets of optimal sizes \(O(1/\varepsilon)\) for the range space \((X,\mathcal{R})\), being \(X\) the \(n\)-dimensional cube and \(\mathcal{R}\) the set of aligned boxes.
0 references