An Exploration and Overview of Core Concepts in Linear Algebra
Abstract
Abstract:This paper aims to provide a unified explanation and discussion of the core concepts in linear algebra—pivots, eigenvalues, determinants, and matrix transformations—from both geometric intuition and algebraic structure perspectives. By reviewing Gaussian elimination, LU decomposition, eigendecomposition, and the geometric meaning of determinants, the paper establishes the logical connections between these concepts and presents an understanding framework based on "geometric transformation—invariants—decomposition structure." It is hoped that this overview will provide a more holistic and intuitive understanding for beginners in linear algebra. This paper inevitably contains shortcomings, and readers are welcome to offer criticism and suggestions. Keywords: Linear algebra; pivots; eigenvalues; determinants; matrix decomposition; geometric intuitionNote: This article is a Chinese version translated using Google Translate, and may contain errors. Please excuse any inaccuracies.
Fields of Study & Subjects
Matrix Theory and Algorithms
Mathematical and Computational Methods
Mathematics Education and Teaching Techniques
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 29 January 2026