Linear Algebra & Matrix in Mathematics: Understanding Importance

In linear algebra, we learn the basics of linear systems by studying matrices and vectors. A branch of mathematics known as linear algebra primarily studies vectors, vector spaces (sometimes called linear spaces), linear mappings (often called transformations), and systems of linear equations. Since vector spaces are fundamental to contemporary mathematics, abstract algebra and functional analysis both make extensive use of linear algebra. Analytic geometry provides a tangible example of linear algebra, while operator theory provides a generalization of the theory. It finds widespread use in the social and natural sciences due to the fact that linear models may often be used to approximate nonlinear ones Keywords: Linear Equation, Linear Spaces, n-Tuples, Matrix, and Linear Algebra.

Authors

Publication Details

Journal
International Journal of Research and Review
Published
2024-11-29
DOI
https://doi.org/10.52403/ijrr.20241160
Primary Topic
Mathematical and Computational Methods
Type
article
Field-Weighted Citation Impact
0.00
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article

Linear Algebra & Matrix in Mathematics: Understanding Importance

Mahendra Reddy
International Journal of Research and Review
Mathematical and Computational Methods
article

Linear Algebra & Matrix in Mathematics: Understanding Importance

Mahendra Reddy
article en

Abstract

In linear algebra, we learn the basics of linear systems by studying matrices and vectors. A branch of mathematics known as linear algebra primarily studies vectors, vector spaces (sometimes called linear spaces), linear mappings (often called transformations), and systems of linear equations. Since vector spaces are fundamental to contemporary mathematics, abstract algebra and functional analysis both make extensive use of linear algebra. Analytic geometry provides a tangible example of linear algebra, while operator theory provides a generalization of the theory. It finds widespread use in the social and natural sciences due to the fact that linear models may often be used to approximate nonlinear ones Keywords: Linear Equation, Linear Spaces, n-Tuples, Matrix, and Linear Algebra.

International Journal of Research and ReviewVol. 11(11)
Openalex Percentile: Top 77%
Mathematical and Computational Methods
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