👉 In mathematics, a semidefinite matrix is a special kind of square matrix that can be defined in terms of its eigenvalues and eigenvectors. These matrices are particularly useful because they have many interesting properties, such as being positive semi-definite (a matrix with all non-zero entries strictly between 0 and +∞), which means it's symmetric and has no negative eigenvalues. For a matrix A to be semidefinite, the following conditions must hold: 1. The sum of the
