10/9/2020 Eigenvectors In [1]: import In [2]: arr In [3]: arr Out[3]: = numpy as np np.array([[9,1,0,0,1],[1,0,1,1,0],[9,1,0,1,0],[9,1,1,0,1],[1,9,0,1,0]]) array([[@, 1, 0, 9, 1], [1, 9, 1, 1, 9], L9, 1, 9, 1, 9], L9, 1, 1, Ô, 1], [1, 9, 9, 1, 0]]) In [4]: matran_new In [5]: matran_new 0ut[5|: = np.array([[1],[1],[1],[1],[1]]) array([[1], [1], [1], [1], [111) In [6]: #Lan lani=arr@matran_new lan1 Out[6]: array([[2], [3], [2], [3], [2]]) In [7]: distance distance = np.linalg.norm(1lan1) Out[7]: 5.477225575051661 In [8]: lan1= In [9]: lant Out[9]: lan1/distance array([[@.36514837], [@.54772256], [@.36514837], [@.54772256], [@.36514837]]) Tn [11]: #Lan2 lan2=arr@lan1 localhost:8888/nbconvert/html/Eigenvectors.ipynb?download=false 1/3 10/9/2020 Eigenvectors In [12]: lan2 Out[12]: array([[ 91287093], [1.2780193 ], [1.09544512], [1.2780193 ], [@.91287093]]) In [13]: distance distance = np.linalg.norm(lan2) Out[13]: 2.476556749467561 In [14]: lan2= In [15]: lan2 lan2/distance Out[15]: array([[9 368698489 ], In [16]: #Lan3 In [17]: lan3=arr@lan2 lan3 Out[17]: [Ø.51604685], [ô.44232587], [@.51604685], [@.36860489]]) array([[@.88465174], [1.32697761], [1.03209369], [1.32697761], [@.88465174]]) In [18]: distance = np.linalg.norm(lan3) distance Out[18]: In [19]: 2.480357617974368 lan3 lan3 = lan3/distance Out[19]: array([[@.35666298], In [20]: #Lan4 In [21]: lan4=arr@lan3 [@.53499447], [Ø.41610681], [@.53499447], [@ 35666298]]) localhost:8888/nbconvert/html/Eigenvectors.ipynb?download=false 2/3 10/9/2020 Eigenvectors In [22]: lan4 Out[22]: array([[@.89165745], In distance distance [23]: [1.30776426], [1.06998894], [1.30776426], [@.89165745]]) = np.linalg.norm(lan4) Out[23]: 2.481023383969228 In lan4 lan4 [24]: = lan4/distance Out [24]: array([[9 35939099], In [25]: #Lan5 In [26]: lan5 lan5 [@.52710678], [@.43126919], [@.52710678], [@.35939099]]) = arr@lan4 Out[26]: array([ [99.88649777]; In distance distance [27]: [1.31776696], [1.05421357], [1.31776696], [@.88649777]]) = np.linalg.norm(lan5) Out[27]: 2.4811574647929118 In lanS lan5 [28]: Out[28]: In = lan5/distance array([[@ 35729292], [Ø.53110977], [2.42488781], [Ø.53110977], [@.35729202]]) [ ]: localhost:8888/nbconvert/html/Eigenvectors.ipynb?download=false 3/3