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 | + | *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 | + | *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 13:31, 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: