Determinants
摘要
The determinant of a square matrix is a powerful scalar that distills critical information about a linear transformation, acting as a mathematical lens through which we can understand invertibility, volume scaling, and orientation changes. In the context of linear algebra for ML, determinants are indispensable, providing insights into the behavior of matrices in algorithms like LR, PCA, and normalizing flows. Geometrically, the determinant quantifies the scaling factor of areas in 2D or volumes in 3D, while algebraically, it determines whether a matrix is invertible and how systems of linear equations can be solved.