Tensors, tensor products

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Just found a really good lecture on tensors. It starts with the absolute basics and goes all the way up to universal mapping:



I just want to recall the standard realization of the tensor product.

Let ##X, Y## be vector spaces, say over ##\mathbb{R}##. These spaces need not be finite-dimensional.
Let ##T## denote the space of bilinear maps ##b:X\times Y\to \mathbb{R}##, and let ##T^*## stand for the corresponding algebraic dual space. By definition, ##x\otimes y## is the element of ##T^*## defined by ##(x\otimes y)(b):=b(x,y).##
Thus, we have a mapping ##\psi:X\times Y\to T^*## given by ##\psi(x,y)=x\otimes y.##
We define the tensor product of the spaces as ##X\otimes Y:=\text{span}\,\psi(X\times Y)##
 
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nice spoiler. took me a while to grasp, the key for me being that the map psi is itself bilinear, indeed it is the universal bilinear map.
 
My first gut reaction was, wouldn't you want ##x\otimes y## to be in ##T## not ##T^*##?

Then I realized I flipped your ##T## and ##T^*## in my head as I'm used to attaching a star to the space of maps of vectors.
 
There's a more modern field of math, Geometric Calculus, that encompasses Vector and Tensor Analysis, which I find interesting. One thing they address is the vector cross product, which they subsume under the geometric product.
 
My take is that the Tensor product of Vector Spaces $$V, W$$ over the same field F, gives rise to a new Tensor Vector space , where every bilinear map on $$V \times W$$ into a base field(ring?) factors into a linear map from $$V \otimes W$$ into the same base ring/field.
 
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