Characterising ovoidal cones by their hyperplane intersection numbers

Abstract In this paper, we characterise point sets having the same intersection numbers with respect to hyperplanes as an ovoidal cone. In particular, we show that a set of points of which blocks all planes and intersects solids in , or points is a plane or an ovoidal cone, and determine all examples that arise when the blocking condition is omitted.

Authors

Institutions

Publication Details

Journal
Journal of Combinatorial Designs
Published
2024-10-09
DOI
https://doi.org/10.1002/jcd.21959
Primary Topic
graph theory and CDMA systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterising ovoidal cones by their hyperplane intersection numbers

Geertrui Van de Voorde, Bart De Bruyn
Journal of Combinatorial Designs
graph theory and CDMA systems
article

Characterising ovoidal cones by their hyperplane intersection numbers

Geertrui Van de Voorde, Bart De Bruyn
article en

Abstract

Abstract In this paper, we characterise point sets having the same intersection numbers with respect to hyperplanes as an ovoidal cone. In particular, we show that a set of points of which blocks all planes and intersects solids in , or points is a plane or an ovoidal cone, and determine all examples that arise when the blocking condition is omitted.

Journal of Combinatorial DesignsVol. 33(1)
University of Canterbury (NZ), Ghent University (BE)
Marsden Fund
Sustainable cities and communities
Openalex Percentile: Top 85%
graph theory and CDMA systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.