Linear Algebra, Numpy, Python, Eigenvectors, Determinants.
eigenvalue (3). What that means is, when a linear transformation, such as stretching, rotating, etc, is applied to the vector, it does not change its original direction, just the magnitude by a factor of its eigenvalue. Algebraically, this can be written as: 𝐴𝑣=𝜆𝑣 Where 𝐴 is 𝑛𝑥𝑛 matrix, 𝑥 is 𝑛𝑥1