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misc2 [2013/12/06 16:41] potthastmisc2 [2013/12/06 16:45] (current) potthast
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 located at $x_2$ and $f_{2}$ is only influenced by $\varphi_1$ located at $x_1$. The matrix located at $x_2$ and $f_{2}$ is only influenced by $\varphi_1$ located at $x_1$. The matrix
 \begin{equation} \begin{equation}
 +\label{C example}
 C = \left( \begin{array}{cc} c_{11} & c_{12} \\ c_{21} & c_{22} \end{array} \right) C = \left( \begin{array}{cc} c_{11} & c_{12} \\ c_{21} & c_{22} \end{array} \right)
 := \left( \begin{array}{cc} 1 & 0 \\ 3 & 0 \end{array} \right) := \left( \begin{array}{cc} 1 & 0 \\ 3 & 0 \end{array} \right)
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 If we have a local operator for which each measusment is influenced by a different point If we have a local operator for which each measusment is influenced by a different point
 $x_{j} \in \mathbb{R}^d$, then by reordering of the variables  $x_{j} \in \mathbb{R}^d$, then by reordering of the variables 
-it can be transformed into a diagonal operator. +it can be transformed into a diagonal operator. In general, when a point influences two or more 
 +output variables, diagonalization by reordering is not possible.  
  
 //Remark.// A reordering operation is equivalent to the application of a permutation  //Remark.// A reordering operation is equivalent to the application of a permutation 
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 in each column as well. But that means that the operator $H$ looks like a scaled version of  in each column as well. But that means that the operator $H$ looks like a scaled version of 
 a permutation matrix $P$, with scaling $0$ allowed. Clearly, by reordering we can make this a permutation matrix $P$, with scaling $0$ allowed. Clearly, by reordering we can make this
-into a diagonal matrix, and the proof is complete $\Box$ \\+into a diagonal matrix. In generalwe take (\ref{C example}) as counter example,  
 +and the proof is complete $\Box$ \\
  
  
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