A Combinatorial Approach to Study the Nordhaus–Guddum-Type Results for Steiner Degree Distance

Author:

Liu Hongfang12,Liang Jinxia3,Liu Yuhu4,Das Kinkar Chandra5

Affiliation:

1. School of Education, Qinghai Normal University, Xining 810008, China

2. School of Education, Shaanxi Normal University, Xi’an 710062, China

3. School of Mathematics and Statistic, Qinghai Normal University, Xining 810008, China

4. School of Mathematics, Southwest Jiaotong University, Chengdu 610031, China

5. Department of Mathematics, Sungkyunkwan University, Suwon 16419, Republic of Korea

Abstract

In 1994, Dobrynin and Kochetova introduced the concept of degree distance DD(Γ) of a connected graph Γ. Let dΓ(S) be the Steiner k-distance of S⊆V(Γ). The Steiner Wiener k-index or k-center Steiner Wiener indexSWk(Γ) of Γ is defined by SWk(Γ)=∑|S|=kS⊆V(Γ)dΓ(S). The k-center Steiner degree distanceSDDk(Γ) of a connected graph Γ is defined by SDDk(Γ)=∑|S|=kS⊆V(Γ)∑v∈SdegΓ(v)dΓ(S), where degΓ(v) is the degree of the vertex v in Γ. In this paper, we consider the Nordhaus–Gaddum-type results for SWk(Γ) and SDDk(Γ). Upper bounds on SWk(Γ)+SWk(Γ¯) and SWk(Γ)·SWk(Γ¯) are obtained for a connected graph Γ and compared with previous bounds. We present sharp upper and lower bounds of SDDk(Γ)+SDDk(Γ¯) and SDDk(Γ)·SDDk(Γ¯) for a connected graph Γ of order n with maximum degree Δ and minimum degree δ. Some graph classes attaining these bounds are also given.

Funder

National Science Foundation of China

Fundamental Research Funds for the Central Universities

National Research Foundation funded by the Korean government

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3