Kajian Basis dan Dimensi pada Ruang Hipervektor Atas Lapangan

The concept of algebraic hyperstructure is a generalisation of the concept of algebraic structure. The concept of algebraic hyperstructure discussed in this study is hypervector space. The purpose of this paper is to study the basis and dimension of the hypervector space. In hypervector space there is a strong left distributive property, namely (a+b)∘x=a∘x+b∘x, ∀a,b∈K,∀x∈V. In addition, in a hypervector space that has the K-invertible property, the importance of the strong left distribution property and the invertible property in this hypervector space ensures that each linearly independent set has no more than n elements, where n is the dimension of the hypervector space. Furthermore, the addition of vectors from outside the base will result or not linearly independent. Translated with DeepL.com (free version)

Authors

Institutions

Publication Details

Journal
Tensor Pure and Applied Mathematics Journal
Published
2025-09-08
DOI
https://doi.org/10.30598/tensorvol6iss1pp23-38
Primary Topic
Geotechnical and construction materials studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Kajian Basis dan Dimensi pada Ruang Hipervektor Atas Lapangan

Henry W. M. Patty, Novita Dahoklory, Loisa Genesis Kambu, Lusye Bakarbessy
Tensor Pure and Applied Mathematics Journal
Geotechnical and construction materials studies
article

Kajian Basis dan Dimensi pada Ruang Hipervektor Atas Lapangan

Henry W. M. Patty, Novita Dahoklory, Loisa Genesis Kambu, Lusye Bakarbessy
article en

Abstract

The concept of algebraic hyperstructure is a generalisation of the concept of algebraic structure. The concept of algebraic hyperstructure discussed in this study is hypervector space. The purpose of this paper is to study the basis and dimension of the hypervector space. In hypervector space there is a strong left distributive property, namely (a+b)∘x=a∘x+b∘x, ∀a,b∈K,∀x∈V. In addition, in a hypervector space that has the K-invertible property, the importance of the strong left distribution property and the invertible property in this hypervector space ensures that each linearly independent set has no more than n elements, where n is the dimension of the hypervector space. Furthermore, the addition of vectors from outside the base will result or not linearly independent. Translated with DeepL.com (free version)

Tensor Pure and Applied Mathematics JournalVol. 6(1)
University of Pattimura (ID)
Openalex Percentile: Top 70%
Geotechnical and construction materials studies
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.