Sets in ℝd determining k taxicab distances

Autor: Lo Phillips, Vajresh Balaji, Solomon Mcharo, Bineyam Tsegaye, Anne Marie Loftin, Alex Rice, Olivia Edwards
Rok vydání: 2020
Předmět:
Zdroj: Involve, a Journal of Mathematics. 13:487-509
ISSN: 1944-4184
1944-4176
DOI: 10.2140/involve.2020.13.487
Popis: We address an analog of a problem introduced by Erdős and Fishburn, itself an inverse formulation of the famous Erdős distance problem, in which the usual Euclidean distance is replaced with the metric induced by the l1-norm, commonly referred to as the taxicab metric. Specifically, we investigate the following question: given d,k∈ℕ, what is the maximum size of a subset of ℝd that determines at most k distinct taxicab distances, and can all such optimal arrangements be classified? We completely resolve the question in dimension d=2, as well as the k=1 case in dimension d=3, and we also provide a full resolution in the general case under an additional hypothesis.
Databáze: OpenAIRE