Neural-Network-Based Approach for Extracting Eigenvectors and Eigenvalues of Real Normal Matrices and Some Extension to Real Matrices

Figure 11

Trajectories of 𝑥(𝑡), the solution of (40), with initial 𝑥(0) as (55), which should converge to an eigenvector of 𝐴 corresponding to the eigenvalue 𝜆₂.