The Uniqueness of a Tensor Product

EXISTENCE (in the first place)!I'm sure that there was a simpler way to define the tensor product of two vector spaces, but I've never been able to wrap my head around it.
  • #1
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I am reading Bruce N. Coopersteins book: Advanced Linear Algebra (Second Edition) ... ...

I am focused on Section 10.1 Introduction to Tensor Products ... ...

I need help with the proof of Lemma 10.1 on the uniqueness of a tensor product ... ... Before proving the uniqueness (up to an isomorphism) of a tensor product, Cooperstein defines a tensor product ... as follows:View attachment 5380Cooperstein then states that he is going to show that the tensor product is essentially unique (up to an isomorphism) ... and then presents Lemma 10.1 ... ... as follows ... ...
https://www.physicsforums.com/attachments/5381My questions are as follows:Question 1

I am assuming that the point of the Theorem is to show that \(\displaystyle V\) is isomorphic to \(\displaystyle Z\) and, I think, also that \(\displaystyle \gamma\) is isomorphic to \(\displaystyle \delta\) ... ... is that correct?

Now I am assuming that once we have shown that \(\displaystyle ST = I_V\) ... ... and \(\displaystyle TS = I_Z\) ... ...

then we have shown that \(\displaystyle S\) (and \(\displaystyle T\) for that matter) is a bijection ... and hence \(\displaystyle V\) and \(\displaystyle Z\) are isomorphic ... is that correct?

... ... BUT ... ...... what exactly are we showing if we demonstrate that \(\displaystyle T \gamma = \delta\) ... ... and also that \(\displaystyle S \delta = \gamma\) ... ... unless it is that, since from (i), \(\displaystyle S\) and \(\displaystyle T\) are bijections then \(\displaystyle \delta\) and \(\displaystyle \gamma\) are isomorphic

... ... is that correct?
Question 2

In Cooperstein's proof of Lemma 10.1 we read:

" ... ... Since \(\displaystyle (V, \gamma)\) is a tensor product of \(\displaystyle V_1, \ ... \ ... \ , \ V_m\) over \(\displaystyle \mathbb{F}\)

and \(\displaystyle \delta\) is a multilinear map from \(\displaystyle V_1, \ ... \ ... \ , \ V_m \) to \(\displaystyle Z\), then there exists a

unique linear map \(\displaystyle T \ : \ V \longrightarrow Z\) such that \(\displaystyle T \gamma = \delta\) ... ... "Can someone please explain to me why the above statement is true ... ...Peter==========================================================**** EDIT ****

I have been reflecting on Question 2 ...

... Now ... in Cooperstein's definition of the tensor product ... we read ...
" ... a pair \(\displaystyle (V , \gamma)\) consisting of a vector space \(\displaystyle V\) over \(\displaystyle \mathbb{F}\)

and a multilinear map \(\displaystyle \gamma \ : \ V_1 \times \ ... \ \times

V_m \longrightarrow V\) is a tensor product of

\(\displaystyle V_1, \ ... \ ... \ , \ V_m\) over \(\displaystyle \mathbb{F}\) if, whenever \(\displaystyle W\) is a vector space over \(\displaystyle \mathbb{F}\)

and \(\displaystyle f \ : \ V_1 \times \ ... \ \times V_m \longrightarrow W\) is a multilinear map,

then there exists a unique bilinear map \(\displaystyle T \ : \ V \longrightarrow W\) such that \(\displaystyle T \circ \gamma = f\) ... ... "

Well ... presumably \(\displaystyle Z\) can stand in for \(\displaystyle W\) and \(\displaystyle \delta\) can stand in for \(\displaystyle f\) ... ... which gives the situation shown in Figure 1 below ... ...

View attachment 5382

The conditions of the definition of the tensor product imply there exists a unique linear map \(\displaystyle T \ : \ V \longrightarrow Z\) such that \(\displaystyle T \circ \gamma = \delta\) ... ...

Is that correct? Can someone please confirm ... or point out errors and shortcomings ... ?

Peter
 
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  • #2
Let me give an example of a tensor product of $\Bbb R^2 \otimes \Bbb R^2$, namely: $\Bbb R^4$.

Define: $(a,b)\otimes(c,d) = (ac,ad,bc,bd)$.

It is readily seen that:
$e_1\otimes e_1 = (1,0,0,0)$
$e_1\otimes e_2 = (0,1,0,0)$
$e_2\otimes e_1 = (0,0,1,0)$
$e_2 \otimes e_2 = (0,0,0,1)$, and that this is a basis for $\Bbb R^4$.

We verify that the map $((a,b),(c,d)) \mapsto (a,b)\otimes(c,d)$ is bilinear:

$[(a,b) + (a',b')]\otimes(c,d) = (a+a',b+b')\otimes(c,d) = ((a+a')c,(a+a')d,(b+b')c,(b+b')d)$

$= (ac+a'c,ad+a'd,bc+b'c,bd+b'd) = (ac,ad,bc,bd) + (a'c,a'd,b'c,b'd) = (a,b)\otimes(c,d) + (a',b')\otimes(c,d)$

If $r \in \Bbb R$:

$(r(a,b))\otimes(c,d) = (ra,rb)\otimes(c,d) = ((ra)c,(ra)d,(rb)c,(rb)d) = (r(ac),r(ad),r(bc),r(bd))$

$= r(ac,ad,bc,bd) = r((a,b)\otimes(c,d))$

$(a,b)\otimes[(c,d) + (c',d')] = (a,b)\otimes(c+c',d+d') = (a(c+c'),a(d+d'),b(c+c'),b(d+d'))$

$= (ac+ac',ad+ad',bc+bc',bd+bd') = (ac,ad,bc,bd) + (ac',ad',bc',bd') = (a,b)\otimes(c,d) + (a,b)\otimes(c',d')$, and:

$(a,b)\otimes(r(c,d)) = (a,b)\otimes(rc,rd) = (a(rc),a(rd),b(rc),b(rd)) = (r(ac),r(ad),r(bc),r(bd))$

$= r(ac,ad,bc,bd) = r((a,b)\otimes(c,d))$

(As you can see by this last string of equalities (linearity in the second element of $\Bbb R^2$), commutativity of $\Bbb R$'s multiplication is crucial...).

So now we have a vector space ($\Bbb R^4$), and a bilinear map $\otimes: \Bbb R^2 \times \Bbb R^2 \to \Bbb R^4$.

Now suppose $B:\Bbb R^2 \times \Bbb R^2 \to V$ is a bilinear map. How should we define the linear map:

$L:\Bbb R^4 \to V$, such that:

$L \circ \otimes = B$?

Since $\Bbb R^4$ is a vector space, it suffices to define $L$ for $e_i \otimes e_j$ ($i,j = 1,2$).

So we "do the obvious thing" and define:

$L(e_i\otimes e_j) = B(e_i,e_j)$.

Since this might seem like cheating, let's see how this plays out for some definite $B$ and $V$.

We'll use $V = \Bbb R$, and $B(x,y) = \langle x,y\rangle$, the usual dot-product of $\Bbb R^2$:

$B((x,y),(x',y')) = xx'+yy'$.

We have four specific instances of $B$ to compute, first:

$\langle e_1,e_1\rangle = 1$
$\langle e_1,e_2\rangle = 0$
$\langle e_2,e_1\rangle = 0$
$\langle e_2,e_2\rangle = 1$.

Now, by linearity:

$L(a,b,c,d) = L(a(1,0,0,0) + b(0,1,0,0) + c(0,0,1,0) + d(0,0,0,1))$

$= aL(1,0,0,0) + bL(0,1,0,0) + cL(0,0,1,0) + dL(0,0,0,1)$

$ = aL(e_1\otimes e_1) + bL(e_1\otimes e_2) + cL(e_2\otimes e_1) + dL(e_2\otimes e_2)$

$ = a + d$.

In particular, we have:

$(L \circ \otimes)((x,y),(x',y')) = L((x,y)\otimes(x',y')) = L(xx',xy',yx',yy') = xx' + yy' = B((x,y),(x',y'))$.

Now, for all practical purposes, the tensor product here is the "outer product" of $(a,b)$ and $(c,d)$, and what it does to the "inner product" is turn it into the linear function, the TRACE of the 2x2 matrix we would get if we saw $\Bbb R^2 \otimes \Bbb R^2$ as the mapping:

$((a,b),(c,d)) \mapsto \begin{bmatrix}ac&ad\\bc&bd\end{bmatrix}$.

There is, to a mathematician, a satisfying symmetry here: my example, shows EXISTENCE of a tensor product of $\Bbb R^2 \otimes \Bbb R^2$, trivially, and what has to be proven is the universal mapping property. Cooperstein's construction makes the universal mapping property trivial (by definition), and what has to be proven is existence.
 
  • #3
Deveno said:
Let me give an example of a tensor product of $\Bbb R^2 \otimes \Bbb R^2$, namely: $\Bbb R^4$.

Define: $(a,b)\otimes(c,d) = (ac,ad,bc,bd)$.

It is readily seen that:
$e_1\otimes e_1 = (1,0,0,0)$
$e_1\otimes e_2 = (0,1,0,0)$
$e_2\otimes e_1 = (0,0,1,0)$
$e_2 \otimes e_2 = (0,0,0,1)$, and that this is a basis for $\Bbb R^4$.

We verify that the map $((a,b),(c,d)) \mapsto (a,b)\otimes(c,d)$ is bilinear:

$[(a,b) + (a',b')]\otimes(c,d) = (a+a',b+b')\otimes(c,d) = ((a+a')c,(a+a')d,(b+b')c,(b+b')d)$

$= (ac+a'c,ad+a'd,bc+b'c,bd+b'd) = (ac,ad,bc,bd) + (a'c,a'd,b'c,b'd) = (a,b)\otimes(c,d) + (a',b')\otimes(c,d)$

If $r \in \Bbb R$:

$(r(a,b))\otimes(c,d) = (ra,rb)\otimes(c,d) = ((ra)c,(ra)d,(rb)c,(rb)d) = (r(ac),r(ad),r(bc),r(bd))$

$= r(ac,ad,bc,bd) = r((a,b)\otimes(c,d))$

$(a,b)\otimes[(c,d) + (c',d')] = (a,b)\otimes(c+c',d+d') = (a(c+c'),a(d+d'),b(c+c'),b(d+d'))$

$= (ac+ac',ad+ad',bc+bc',bd+bd') = (ac,ad,bc,bd) + (ac',ad',bc',bd') = (a,b)\otimes(c,d) + (a,b)\otimes(c',d')$, and:

$(a,b)\otimes(r(c,d)) = (a,b)\otimes(rc,rd) = (a(rc),a(rd),b(rc),b(rd)) = (r(ac),r(ad),r(bc),r(bd))$

$= r(ac,ad,bc,bd) = r((a,b)\otimes(c,d))$

(As you can see by this last string of equalities (linearity in the second element of $\Bbb R^2$), commutativity of $\Bbb R$'s multiplication is crucial...).

So now we have a vector space ($\Bbb R^4$), and a bilinear map $\otimes: \Bbb R^2 \times \Bbb R^2 \to \Bbb R^4$.

Now suppose $B:\Bbb R^2 \times \Bbb R^2 \to V$ is a bilinear map. How should we define the linear map:

$L:\Bbb R^4 \to V$, such that:

$L \circ \otimes = B$?

Since $\Bbb R^4$ is a vector space, it suffices to define $L$ for $e_i \otimes e_j$ ($i,j = 1,2$).

So we "do the obvious thing" and define:

$L(e_i\otimes e_j) = B(e_i,e_j)$.

Since this might seem like cheating, let's see how this plays out for some definite $B$ and $V$.

We'll use $V = \Bbb R$, and $B(x,y) = \langle x,y\rangle$, the usual dot-product of $\Bbb R^2$:

$B((x,y),(x',y')) = xx'+yy'$.

We have four specific instances of $B$ to compute, first:

$\langle e_1,e_1\rangle = 1$
$\langle e_1,e_2\rangle = 0$
$\langle e_2,e_1\rangle = 0$
$\langle e_2,e_2\rangle = 1$.

Now, by linearity:

$L(a,b,c,d) = L(a(1,0,0,0) + b(0,1,0,0) + c(0,0,1,0) + d(0,0,0,1))$

$= aL(1,0,0,0) + bL(0,1,0,0) + cL(0,0,1,0) + dL(0,0,0,1)$

$ = aL(e_1\otimes e_1) + bL(e_1\otimes e_2) + cL(e_2\otimes e_1) + dL(e_2\otimes e_2)$

$ = a + d$.

In particular, we have:

$(L \circ \otimes)((x,y),(x',y')) = L((x,y)\otimes(x',y')) = L(xx',xy',yx',yy') = xx' + yy' = B((x,y),(x',y'))$.

Now, for all practical purposes, the tensor product here is the "outer product" of $(a,b)$ and $(c,d)$, and what it does to the "inner product" is turn it into the linear function, the TRACE of the 2x2 matrix we would get if we saw $\Bbb R^2 \otimes \Bbb R^2$ as the mapping:

$((a,b),(c,d)) \mapsto \begin{bmatrix}ac&ad\\bc&bd\end{bmatrix}$.

There is, to a mathematician, a satisfying symmetry here: my example, shows EXISTENCE of a tensor product of $\Bbb R^2 \otimes \Bbb R^2$, trivially, and what has to be proven is the universal mapping property. Cooperstein's construction makes the universal mapping property trivial (by definition), and what has to be proven is existence.
Thanks for the help and support Deveno ... ...

Just working through the details of your post now ...

Peter
 

1. What is a tensor product?

A tensor product is a mathematical operation that combines two vector spaces to create a new vector space. It is used in many areas of mathematics and physics, such as linear algebra and quantum mechanics.

2. How is a tensor product different from a regular product?

A tensor product is different from a regular product in that it takes into account the structure and properties of the vector spaces being combined, rather than simply multiplying their elements. This allows for a more nuanced and powerful approach to mathematical operations.

3. What is the significance of the uniqueness of a tensor product?

The uniqueness of a tensor product means that there is only one way to combine two vector spaces using the tensor product operation. This is important because it ensures that the resulting vector space has well-defined properties and can be used consistently in mathematical and physical applications.

4. How is the uniqueness of a tensor product proven?

The uniqueness of a tensor product is proven using the universal property of tensor products. This property states that for any other vector space that satisfies certain conditions, there exists a unique linear transformation from the tensor product to that vector space. This transformation is known as the universal morphism.

5. What are some real-world applications of the uniqueness of a tensor product?

The uniqueness of a tensor product has many applications in physics, such as in quantum mechanics where it is used to describe the interactions between particles. It is also used in engineering and computer science, for example in signal processing and image recognition algorithms. In mathematics, the uniqueness of a tensor product is important for understanding and proving properties of vector spaces and their transformations.

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