Linear Algebra, Mathematics, Data Analysis, Python, Computer Science.
[0, -1]]) eigenvalues, eigenvectors = np.linalg.eig(A) # Define a function to calculate the transformed vectors for each initial condition def transform_vectors(initial_conditions, A): transformed_vectors = [] for x0, y0 in initial_conditions: v = np.array([x0, y0])