Difference between revisions of "Manuals/calci/MATRIXTENSORPRODUCT"

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(Created page with "<div style="font-size:30px">'''MATRIXTENSORPRODUCT (a,b) '''</div><br/> *<math>a</math> and <math>b</math> are any two matrices. ==Description== *This function shows the Tens...")
 
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*Tensor product is different from general product.
 
*Tensor product is different from general product.
 
*The Tensor product is defined by the product  two vector spaces V and W is itself a Vector space.
 
*The Tensor product is defined by the product  two vector spaces V and W is itself a Vector space.
*It is denoted by VSymbol W.  
+
*It is denoted by <math>V\otimes W</math>.  
*The tensor product of V and W is the vector space generated by the symbols  v\otimes w v\otimes w, with  v belongs to V and w belongs to W.
+
*The tensor product of V and W is the vector space generated by the symbols  <math>v\otimes w </math>, with  <math>v \isin V</math> and <math>w \isin W</math>.
*The tensor product from the direct sum vector space, whose dimension is the sum of the dimensions of the two summands:Now consider any 2x2 matrices
+
*The tensor product from the direct sum vector space, whose dimension is the sum of the dimensions of the two summands:
 +
<math>dim (V \otimes W)= dim V +dim W </math>
 +
*Now consider any 2x2 matrices:
 +
<math>\begin{bmatrix}
 +
a_{11}      & a_{12}    \\
 +
a_{21} & a_{22}
 +
\end{bmatrix}\otimes \begin{bmatrix}
 +
b_{11}      & b_{12}    \\
 +
b_{21} & b_{22}
 +
\end{bmatrix} =
 +
\begin{bmatrix}
 +
a_{11}\begin{bmatrix}
 +
b_{11}      & b_{12}    \\
 +
b_{21} & b_{22}
 +
\end{bmatrix}  a_{12} \begin{bmatrix}
 +
b_{11}      & b_{12}    \\
 +
b_{21} & b_{22}
 +
\end{bmatrix} \\
 +
a_{21} \begin{bmatrix}
 +
b_{11}      & b_{12}    \\
 +
b_{21} & b_{22}
 +
\end{bmatrix}   
 +
a_{22} \begin{bmatrix}
 +
b_{11}      & b_{12}    \\
 +
b_{21} & b_{22}
 +
\end{bmatrix}
 +
\end{bmatrix} </math>

Revision as of 14:31, 12 July 2017

MATRIXTENSORPRODUCT (a,b)


  • and are any two matrices.

Description

  • This function shows the Tensor product of the matrix.
  • In , and are any two matrices.
  • Here matrices and should be square matrix with same order.
  • Tensor product is denoted by .
  • Tensor product is different from general product.
  • The Tensor product is defined by the product two vector spaces V and W is itself a Vector space.
  • It is denoted by .
  • The tensor product of V and W is the vector space generated by the symbols , with and .
  • The tensor product from the direct sum vector space, whose dimension is the sum of the dimensions of the two summands:

  • Now consider any 2x2 matrices: