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mvg:lecture_02:start [2018/11/19 12:33] – [Eigenvalue Problem] adminmvg:lecture_02:start [2020/02/04 15:12] (current) – [Eigenvalue Problem] admin
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 $A\mathbf{v} = \lambda \mathbf{v}$ $A\mathbf{v} = \lambda \mathbf{v}$
  
-$(A-\lambda \unity) A = 0$+$(A-\lambda \one) A = 0$
  
 $\left(A-\lambda \unity \right) A = 0$ $\left(A-\lambda \unity \right) A = 0$
  
 **Question:** **Question:**
-If $P$ is invertible and $B = P^{-1}AP$ then $\sigma(A) = \sigma(B)$. Why?+If $P$ is invertible and $B = P^{-1}AP \Rightarrow \sigma(A) = \sigma(B)$. Why? 
 + 
 +==== Symmetric Matrices ==== 
 + 
 +Real matrix with real Eigenvalues is related to symmetric matrix. 
 + 
 +$S^T = S$ 
 + 
 +Positive semidefinite: $x^TSx \ge 0$ 
 + 
 +Positive definite: $x^TSx > 0$ 
 + 
 + 
    
 ==== Vector Spaces, Keywords ==== ==== Vector Spaces, Keywords ====
mvg/lecture_02/start.1542630802.txt.gz · Last modified: 2018/11/19 12:33 by admin