import numpy as np from scipy.linalg import logm, expm A = np.array([[1, 0, 0, 30], [0, 1, 0, 0], [0, 0, 1, 0], [0, 0, 0, 1]]) logA = logm(A) print("log(A):") print(logA) print("From I to A in steps of 0.1:") for t in range(0, 11): print(expm(t * 0.1 * logA)) B = np.array([[-4.52e-7, 0, -1 , 19.1], [ 0 , 1, 0 , 0 ], [ 1 , 0, -4.52e-7, 19.1], [ 0 , 0, 0 , 1 ]]) logB = logm(B) print("log(B):") print(logB) print("From I to B in steps of 0.1:") for t in range(0, 11): print(expm(t * 0.1 * logB))
Standard input is empty
log(A): [[ 0. 0. 0. 30.] [ 0. 0. 0. 0.] [ 0. 0. 0. 0.] [ 0. 0. 0. 0.]] From I to A in steps of 0.1: [[1. 0. 0. 0.] [0. 1. 0. 0.] [0. 0. 1. 0.] [0. 0. 0. 1.]] [[1. 0. 0. 3.] [0. 1. 0. 0.] [0. 0. 1. 0.] [0. 0. 0. 1.]] [[1. 0. 0. 6.] [0. 1. 0. 0.] [0. 0. 1. 0.] [0. 0. 0. 1.]] [[1. 0. 0. 9.] [0. 1. 0. 0.] [0. 0. 1. 0.] [0. 0. 0. 1.]] [[ 1. 0. 0. 12.] [ 0. 1. 0. 0.] [ 0. 0. 1. 0.] [ 0. 0. 0. 1.]] [[ 1. 0. 0. 15.] [ 0. 1. 0. 0.] [ 0. 0. 1. 0.] [ 0. 0. 0. 1.]] [[ 1. 0. 0. 18.] [ 0. 1. 0. 0.] [ 0. 0. 1. 0.] [ 0. 0. 0. 1.]] [[ 1. 0. 0. 21.] [ 0. 1. 0. 0.] [ 0. 0. 1. 0.] [ 0. 0. 0. 1.]] [[ 1. 0. 0. 24.] [ 0. 1. 0. 0.] [ 0. 0. 1. 0.] [ 0. 0. 0. 1.]] [[ 1. 0. 0. 27.] [ 0. 1. 0. 0.] [ 0. 0. 1. 0.] [ 0. 0. 0. 1.]] [[ 1. 0. 0. 30.] [ 0. 1. 0. 0.] [ 0. 0. 1. 0.] [ 0. 0. 0. 1.]] log(B): [[ 1.02077266e-13 0.00000000e+00 -1.57079678e+00 3.00022117e+01] [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00] [ 1.57079678e+00 0.00000000e+00 1.02226734e-13 -6.78050027e-06] [ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]] From I to B in steps of 0.1: [[1. 0. 0. 0.] [0. 1. 0. 0.] [0. 0. 1. 0.] [0. 0. 0. 1.]] [[ 0.98768833 0. -0.15643451 2.98789851] [ 0. 1. 0. 0. ] [ 0.15643451 0. 0.98768833 0.2351521 ] [ 0. 0. 0. 1. ]] [[ 0.95105649 0. -0.30901708 5.90222511] [ 0. 1. 0. 0. ] [ 0.30901708 0. 0.95105649 0.93481953] [ 0. 0. 0. 1. ]] [[ 0.89100646 0. -0.45399062 8.67121936] [ 0. 1. 0. 0. ] [ 0.45399062 0. 0.89100646 2.08177413] [ 0. 0. 0. 1. ]] [[ 0.80901689 0. -0.5877854 11.2266994 ] [ 0. 1. 0. 0. ] [ 0.5877854 0. 0.80901689 3.64777408] [ 0. 0. 0. 1. ]] [[ 0.70710662 0. -0.70710694 13.50574078] [ 0. 1. 0. 0. ] [ 0.70710694 0. 0.70710662 5.59425922] [ 0. 0. 0. 1. ]] [[ 0.58778503 0. -0.80901715 15.45222592] [ 0. 1. 0. 0. ] [ 0.80901715 0. 0.58778503 7.8733006 ] [ 0. 0. 0. 1. ]] [[ 0.45399022 0. -0.89100667 17.01822587] [ 0. 1. 0. 0. ] [ 0.89100667 0. 0.45399022 10.42878064] [ 0. 0. 0. 1. ]] [[ 0.30901665 0. -0.95105663 18.16518047] [ 0. 1. 0. 0. ] [ 0.95105663 0. 0.30901665 13.19777489] [ 0. 0. 0. 1. ]] [[ 0.15643406 0. -0.9876884 18.8648479 ] [ 0. 1. 0. 0. ] [ 0.9876884 0. 0.15643406 16.11210149] [ 0. 0. 0. 1. ]] [[-4.52e-07 -0.00e+00 -1.00e+00 1.91e+01] [ 0.00e+00 1.00e+00 0.00e+00 0.00e+00] [ 1.00e+00 0.00e+00 -4.52e-07 1.91e+01] [ 0.00e+00 0.00e+00 0.00e+00 1.00e+00]]