Overall, it's in good condition, and I didn't find any writing in it.
The following is a quote from the Amazon page:
An introductory text for first-year university students.
With a focus on careful explanations based on concrete examples, it is designed to be easy for beginners to understand.
The abundant exercises and detailed answers deepen understanding, making it ideal for self-study.
It also includes modern applications such as data analysis and digital images.
[Table of Contents]
Chapter 1 Tables and Matrices
Chapter 2 Sum and Product of Matrices
Chapter 3 Diagonalization of 2x2 Matrices
Chapter 4 Simultaneous Linear Equations and Row Operations
Chapter 5 Row Operations and Rank
Chapter 6 Inverse Matrices
Chapter 7 Determinants of 2x2 and 3x3 Matrices and Formulas for Solving Simultaneous Linear Equations
Chapter 8 Determinants of nxn Matrices
Chapter 9 Determinant of a Product, Determinant of a Transpose
Chapter 10 Cramer's Rule, Cofactor Expansion
Chapter 11 Existence and Uniqueness of Determinants
Chapter 12 Interlude - Linear Mappings and Vector Spaces -
Chapter 13 Vector Spaces
Chapter 14 Linear Independence and Linear Dependence
Chapter 15 Basis and Dimension
Chapter 16 Linear Mappings, Image and Kernel
Chapter 17 Matrix Representation of Linear Mappings
Chapter 18 Eigenvalues and Eigenvectors, Characteristic Polynomial
Chapter 19 Diagonalization of Matrices
Chapter 20 Orthogonal Matrices and Inner Products
Chapter 21 Schmidt Orthogonalization and Diagonalization of Real Symmetric Matrices
Chapter 22 Applications of Diagonalization
Appendix A Supplement
Answers to the end-of-chapter problems