Tensor Product of Inner Product Spaces V & W

In summary: The answer is that the tensor product of two inner product spaces is always an inner product space, but you need to choose bases carefully to make it so.
  • #1
Palindrom
263
0
Hi,
Say I have two inner product spaces, V and W.
What is the definition of their tensor product?
Is this product naturally always an inner product space?
Thank! :smile:
 
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  • #2
the tensor product of V and W is bydefinition any vector space V(tens)W equipped with a bilinear map VxW-->V(tens)W such that every bilinear map VxW-->U into any vector spave U, occurs uniquely as a composition VxW-->V(tens)W-->U, for some unique lienar map V(tens)W-->U.

if the spaces are finite dimensional it can be constructed as the dual of the space of bilinear functions from VxW to the scalar field k. if v1,...vn, and w1,...wm are bases of V and W, then the bilinear functions taking (vi,wj) to 1 and the other pairs to zero, form a basis of the dual of the tensor product. hence the tensor product has dimension equal to the product of the dimensions of V and W.

now ask yourself how to use the inner products on V and W to define one on V(tens)W.

i.e. how would you define <vtensw, v'tensw'>. is your definition bilinear? positive definite?
 
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  • #3
If V(tens)W is the dual of the space of bilinear functions from VxW to K, then it is a space of functionals that operate on bilinear functions, isn't it? So how come the bilinear functions you mentioned belong to it? They operate on VxW directly, don't they?

And I'm still thinking about that inner product.
 
  • #4
they do not belong to it, i said they belong to its dual.

i.e. if v,w Re elements of V,W then v(tens)w is an element dual to the space of bilinear functions on VxW.

e.g. if F( , ) is a bilinear function on VxW, then v(tens)w acts on F by sending F to

F(v,w), a number.
 
  • #5
Oohps, sorry, I hadn't noticed you wrote "dual of the tensor product".

Is the map you mentioned (that is, (vi,wj) |----> f(vk,wl)=delta(k,i)*delta(j,l)) defined linearly or bilinearly?
That is, if f is assigned to (vi,wj) and g to (vk,wl), then the functional assigned to (vi+vk,wj+wl) is f+g, or f+g+h+t, when h and t are assigned to the two remaining pairs?

I'm sorry for the annoying questions, I'm just trying to understand the nature of the connection between VxW and V(tens)W.
 
  • #6
f is not assigned to anything. F is a bilinear map. it takes a pair of vectors to a number. it defiens a bilinear map F:VxW-->k.

as such it induces a linear map G:V(tens)W-->k such that G(v(tens)w) = F(v,w).

VxW is a vector space of dimension dimV + dimW. V(tens)W has dimension dim(V).dim(W).

If v1,...vn, w1,...,wm are bases of V and W, then (v1,0),...,(vn,0),(0,w1),...(0,wm) is a basis of VxW.

while (v1(tens)w1),...,(vn(tens)wm)), is a basis of V(tens)W.

there is a bilinear map from VxW to V(tens)W, that takes (v,w) to v(tens)w.

but not everything in V(tens)W has that form. for instance v1(tens)w1 + v2(tens)w2 is also an element of V(tens)W. I.e. typical elements of V(tens)W are sums of things like v(tens)w.
 
  • #7
O.K.
So in order to define the inner product on V(tens)W, let's take two guys from there, a and b. They can each be broken into sums of v(tens)w. We'll define the inner product of v(tens)w with u(tens)x as <v,u><w,x>. This induces an inner product on all of V(tens)W, since the inner product must be bilinear.
I'm just trying to see if it is, indeed, an inner product. Am I on the right track?
 
  • #8
well that was my idea. does it have the right properties?
 
  • #9
It's the definite positivity that I'm worried about. But I'll check tommorow, right now I'm going to bed. I'm beat.
Thanks a lot, you don't know how much you've helped me. It's been bothering me for weeks.
 
  • #10
try choosing bases.

i.e. maybe if e1,...,en, and f1,...,fm are orthonormal bases for V,W, then {ei(tens)fj} is an orthonormal basis for V(tens)W.


that should do it. ?
 
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  • #11
Sorry, I've been under pressure lately. I think it's ok.

I've run into this problem in a class in Quantum Physics, of all things.
 

1. What is the definition of the tensor product of inner product spaces V & W?

The tensor product of two inner product spaces V and W, denoted as V ⊗ W, is a vector space formed by taking the Cartesian product of the two spaces and defining a new inner product on the resulting space. This inner product is defined as the product of the inner products of the individual spaces, with appropriate modifications to ensure bilinearity and positive definiteness.

2. How is the tensor product of inner product spaces related to the tensor product of vector spaces?

The tensor product of inner product spaces is a special case of the tensor product of vector spaces, where the vector spaces are equipped with inner products. This ensures that the resulting space is also equipped with an inner product, making it a more suitable setting for certain applications in mathematics and physics.

3. What are the properties of the tensor product of inner product spaces?

The tensor product of inner product spaces inherits many properties from the individual inner product spaces, such as associativity, distributivity, and compatibility with scalar multiplication. It also has a unique isomorphism property, meaning that it is uniquely determined by its defining properties.

4. What are the applications of the tensor product of inner product spaces?

The tensor product of inner product spaces has various applications in mathematics and physics, such as in the study of tensor analysis, quantum mechanics, and signal processing. It allows for a more elegant and efficient treatment of certain problems and provides a useful framework for understanding the relationships between different mathematical structures.

5. How is the tensor product of inner product spaces calculated?

The tensor product of inner product spaces can be calculated using various methods, such as via a direct construction using basis elements or through the use of quotient spaces. In some cases, it can also be calculated by taking the Kronecker product of the matrices representing the inner products of the individual spaces. However, the most efficient method may vary depending on the specific properties of the spaces involved.

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