Tensor Product of C with itself over R.

In summary, the conversation is about proving that C\otimesC (taken over R) is equal to C^2 using the method of complexification. The method involves showing several equivalences, but the speaker is having trouble with one part where they are trying to use the universal property of the tensor product. They have defined a bilinear map and a linear map, but are unable to find an inverse. They are seeking help and resources on complexification for any real vector space.
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Monobrow
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I am trying to prove that C[itex]\otimes[/itex]C (taken over R) is equal to C^2. The method I have seen is to show the following equivalences:
C[itex]\otimes[/itex]C = C[itex]\otimes[/itex](R[T]/<T^2+1>) = C[T]/<T^2+1> = C.
(All tensor products taken over R).

The only part I am having trouble with is showing that C[itex]\otimes[/itex](R[T]/<T^2+1>) = C[T]/<T^2+1>. I have tried to show this by using the universal property of the tensor product. First I defined a bilinear map from CXR[T]/<T^2+1> to C[T]/<T^2+1> by sending an element (z,f(T)) to zf(t) (where I am omitting the cosets). This then induces a linear map from the tensor product. However, I cannot seem to find an inverse for this map.

Any help would be greatly appreciated.
 
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