An Upper Bound on the Metric Dimension of the Halved Folded <i>n</i>-Cube

令图 G 是简单的无向连通图,图 G=( X,R ) 的解析集 S⊆X 是指对于任意两个不同点 u,v∈X ,总存在 s i ∈S 使得 ∂( u, s i )≠∂( v, s i ) 。图 G 的度量维数是所有解析集基数的最小值。本文针对直径 d≥3 的半折叠n-立方体图,在 n=4d+2 时构造了一个解析集,从而证明了 3 8 n 2 − 5 4 n 是该图度量维数的上界。最后,将所得上界与Babai的上界进行对比,发现所得上界在一定情况下更优。Let G be a simple, undirected, connected graph. A resolving set S⊆X for graph G=( X,R ) satisfies for any two vertices u,v∈X , there exists s i ∈S such that ∂( u, s i )≠∂( v, s i ) . The metric dimension of graph G is the minimum cardinality of all resolving sets. In this paper, for the halved folded n-cube with diameter d≥3 , we construct a resolving set if n=4d+2 , and then prove 3 8 n 2 − 5 4 n is an upper bound on the metric dimension of the graph. Finally, compare the upper bound with Babai’s upper bounds, and obtain that the upper bound above is better in some conditions.

Authors

Publication Details

Journal
Pure Mathematics
Published
2025-01-01
DOI
https://doi.org/10.12677/pm.2025.157206
Primary Topic
Graph Labeling and Dimension Problems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Upper Bound on the Metric Dimension of the Halved Folded n-Cube

毅 田
Pure Mathematics
Graph Labeling and Dimension Problems
article

An Upper Bound on the Metric Dimension of the Halved Folded n-Cube

毅 田
article en

Abstract

令图 G 是简单的无向连通图,图 G=( X,R ) 的解析集 S⊆X 是指对于任意两个不同点 u,v∈X ,总存在 s i ∈S 使得 ∂( u, s i )≠∂( v, s i ) 。图 G 的度量维数是所有解析集基数的最小值。本文针对直径 d≥3 的半折叠n-立方体图,在 n=4d+2 时构造了一个解析集,从而证明了 3 8 n 2 − 5 4 n 是该图度量维数的上界。最后,将所得上界与Babai的上界进行对比,发现所得上界在一定情况下更优。Let G be a simple, undirected, connected graph. A resolving set S⊆X for graph G=( X,R ) satisfies for any two vertices u,v∈X , there exists s i ∈S such that ∂( u, s i )≠∂( v, s i ) . The metric dimension of graph G is the minimum cardinality of all resolving sets. In this paper, for the halved folded n-cube with diameter d≥3 , we construct a resolving set if n=4d+2 , and then prove 3 8 n 2 − 5 4 n is an upper bound on the metric dimension of the graph. Finally, compare the upper bound with Babai’s upper bounds, and obtain that the upper bound above is better in some conditions.

Pure MathematicsVol. 15(07)
Openalex Percentile: Top 81%
Graph Labeling and Dimension Problems
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.