Linear Algebra, Eigenvalue, Eigenvectors.
eigenvector. This equation may seem simple, yet it holds profound implications: it signifies that when we apply the matrix A to the vector v, the resulting vector is merely a scalar multiple of the original vector. In other words, the direction of v remains unchanged, only its magnitude is altered.