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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.  
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*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.
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*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
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*The tensor product from the direct sum vector space, whose dimension is the sum of the dimensions of the two summands:
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<math>dim (V \otimes W)= dim V +dim W </math>
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*Now consider any 2x2 matrices:
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<math>\begin{bmatrix}
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a_{11}      & a_{12}    \\
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a_{21} & a_{22}
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\end{bmatrix}\otimes \begin{bmatrix}
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b_{11}      & b_{12}    \\
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b_{21} & b_{22}
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\end{bmatrix} =
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\begin{bmatrix}
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a_{11}\begin{bmatrix}
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b_{11}      & b_{12}    \\
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b_{21} & b_{22}
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\end{bmatrix}  a_{12} \begin{bmatrix}
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b_{11}      & b_{12}    \\
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b_{21} & b_{22}
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\end{bmatrix} \\
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a_{21} \begin{bmatrix}
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b_{11}      & b_{12}    \\
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b_{21} & b_{22}
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\end{bmatrix}   
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a_{22} \begin{bmatrix}
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b_{11}      & b_{12}    \\
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b_{21} & b_{22}
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\end{bmatrix}
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\end{bmatrix} </math>
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