We study matrices and vectors, in particular, how to solve the simultaneous equation, how to calculate the determinant and the inverse matrices. Moreover, by abstracting these concepts, we study linear spaces and linear mapping. Then a matrix can be regarded as a linear mapping. Especially, eigenvalues and eigenvectors of the matrix, and the matrix diagonalization characterize the mapping. We often encounter these concepts in other mathematical fields including statistics.