Contemporary Mathematics and Applications (ConMathA)
Vol. 5 No. 2 (2023)

Pewarnaan Titik Ketakteraturan Lokal pada Hasil Operasi Amalgamasi Titik Graf Lintasan

Rafelita Faradila Sandi (Universitas Jember)
Arika Indah Kristiana (University of Jember)
Lioni Anka Monalisa (Universitas Jember)
Slamin (Universitas Jember)
Robiatul Adawiyah (Universitas Jember)



Article Info

Publish Date
26 Oct 2023

Abstract

Definition of graph is set pair (????(????),????(????)) where ????(????) is vertex set and ????(????) is edge set. A maping ???? : ????(????)→{1,2, … ,????} as label function and weight function ???? : ????(????)→???? is desined as ????(????)=Σ????∈????(????)????(????). The function ???? is called local irregularity vertex coloring if: (i) ????????????(????)=???????????? (???????????????? (????????) ;???????? ???????? ???????????????????? ????????????????????????????????) and (ii) for every ???????? ∈ ????(????),????(????) ≠ ????(????). The chromatic number of local irregularity vertex coloring denoted by ????????????????(????) is defined as ????????????????(????)=????????????{|????(????(????))|;???? ???????? ???????????????????? ???????????????????????????????????????????????? ???????????????????????? ????????????????????????????????}. The method used in this paper is pattern recognition and axiomatic deductive method. In this paper, we learn local irregularity vertex coloring of vertex amalgamation of path graph and determine the chromatic number on local irregularity vertex coloring of vertex amalgamation of path graph. This paper use vertex amalgamation of path graph (????????????????(???????? ,????,????)). The result of this study are expected to be used as basic studies and science development as well as applications related to local irregularity vertex coloring of vertex amalgamation of path graph.

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Journal Info

Abbrev

CONMATHA

Publisher

Subject

Materials Science & Nanotechnology Mathematics

Description

Contemporary Mathematics and Applications welcome research articles in the area of mathematical analysis, algebra, optimization, mathematical modeling and its applications include but are not limited to the following topics: general mathematics, mathematical physics, numerical analysis, ...