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Sep 21st, 2017
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Python 0.33 KB | None | 0 0
  1. import numpy as np
  2.  
  3. identity = np.eye(2)*0.5
  4. EigVal1, EigVec1 = np.linalg.eig(identity)
  5.  
  6. print EigVal1
  7. print EigVec1
  8.  
  9. epsilon = 5e-17 #-5.10313512e-17
  10. identityNoisy = np.array([\
  11.     [0.5,epsilon],\
  12.     [epsilon,0.5]\
  13.     ],dtype=complex)
  14. EigVal2, EigVec2 = np.linalg.eig(identityNoisy)
  15.  
  16. print EigVal2
  17. print EigVec2
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