numpy - What an I doing wrong with lhs Unit Eigenvectors in Python for DRGroot model Social Networking -

What I am doing wrong with the LHS Unit Eigenvectors in Python for DRGroot model for social networking.

"text-code" itemprop = "text" code> Timing effect array is 0: 1/3, 1/3 1/3 1/2, 1/2, 0, 0.25, 0.75 It is understood that the circulation of the array: 3/11 4/11 4/11 11 / 11 4/11 4/11 3/11 4/11 4/11

On time you agree to be able to get the convergence array by taking the unit vector towards the left hand 0 of the array

My linear algebra can be disturbed many times and I want to try it in Python:

  imported spyy.linalg imported from npy as np eig np.set_printoptions (Exact = 4) limT = np.array ([(0.33,0.33,0.33), (0.5,0.5,0.0), (0.0,0.25,0.75)]), VL, VR = EIM (limT), left = true ) Lhs = vl.conj (). T. dot (limT) & gt; & Gt; & Gt; LHS array ([[0.0678, 0.0335, 0.0335], [-0.466 9, -0.6231, -0.6231], [-0.2958, -0.1006, 0.3904]]) lhs / np.linalg.det (lhs) array ([[- 2.385, 1.1795, 1.1795], [-16.4266, -21.9221, -21.9221], [-10.4052, -3.5378, 13.734 9]])  

The last array is not obvious:

3/11 4/11 4/11 3/11 4/11 4/11 3/11 4/11 4/11

Let me be misunderstood Can appreciate the issues and assistance.