Application of Matrices & Determinants

An eigenvalue of a matrix is a special number associated with the matrix that provides significant insights into its properties and behaviors. Formally, for a square matrix A, a scalar λ is called an eigenvalue if there exists a nonzero vector v (known as an eigenvector) such that: Av=λv In other words, the transformation described by the matrix AA scales the vector vv by […]