Difference between tensor product and direct product?

Click For Summary
SUMMARY

The discussion clarifies the fundamental differences between tensor products and direct products of vector spaces. Specifically, for vector spaces V and W, the dimension of the direct product V × W is calculated as dim(V) + dim(W), while the dimension of the tensor product V ⊗ W is dim(V) * dim(W). The tensor product satisfies a universal property that establishes a correspondence between bilinear maps and linear maps, a feature not shared by the direct product. Additionally, tensor products extend beyond vector spaces, emphasizing their broader applicability.

PREREQUISITES
  • Understanding of vector spaces and their properties
  • Familiarity with bilinear maps and linear maps
  • Knowledge of the universal property in algebra
  • Basic concepts of dimension in linear algebra
NEXT STEPS
  • Study the universal property of tensor products in detail
  • Explore the applications of tensor products in multilinear algebra
  • Learn about the construction and properties of direct products
  • Investigate the generalization of tensor products beyond vector spaces
USEFUL FOR

Students and professionals in mathematics, particularly those studying abstract algebra, linear algebra, or anyone seeking to deepen their understanding of tensor and direct products in vector spaces.

"pi"mp
Messages
129
Reaction score
1
Hi,
I have been learning about tensor products from Dummit and Foote's Abstract Algebra and I'm a little confused. I understand the construction of going to the larger free group and "modding out" by the relations that will eventually end up giving us module structure.

But just in the case of taking the tensor product of two vector spaces to get another vector space, how is this different than just taking the direct product of the two spaces? Because the direct product will also give us a larger, new vector space.

I'm guessing the answer to my question will be along the lines of "it's because of the Universal Property the tensor product satisfies..." but I can afford to be set a little straight here!

Thanks
 
Physics news on Phys.org
They are both larger spaces (for vector spaces at least), but they have different dimensions. If ##V## and ##W## are vector spaces, then the dimension of ##V\times W## is dim(V) + dim(W).
However, the dimension of ##V\otimes W## is dim(V)dim(W). So that's one difference.

The use of the tensor product is indeed in the universal property. That says that bilinear maps ##V\times W\rightarrow \mathbb{R}## correspond exactly to linear maps ##V\otimes W\rightarrow \mathbb{R}##.
 
But the direct product does not come with an explicit construction as a vector space (altho it can be made into one), while the tensor product does. And the tensor is not strictly larger, at least not up to isomorphism; R(x)R~R ; it is just not of lower dimension,since the dimensions multiply.

Notice tensors are not only defined for vector spaces.
 

Similar threads

  • · Replies 7 ·
Replies
7
Views
3K
  • · Replies 4 ·
Replies
4
Views
4K
  • · Replies 10 ·
Replies
10
Views
3K
  • · Replies 32 ·
2
Replies
32
Views
4K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 4 ·
Replies
4
Views
4K
  • · Replies 2 ·
Replies
2
Views
2K
  • · Replies 5 ·
Replies
5
Views
4K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 1 ·
Replies
1
Views
4K