Tensor Product of \mathbb{Z}_{10} and \mathbb{Z}_{12} with a Surprising Result

In summary, the problem is that we don't know how to finish the equation for m\otimes 1 when m is even. However, if m is odd we can solve for m by using the fact that m=2k.
  • #1
Kindayr
161
0

Homework Statement


Show that [itex]\mathbb{Z}_{10}\otimes_{\mathbb{Z}}\mathbb{Z}_{12} \cong \mathbb{Z}_{2}[/itex]

The Attempt at a Solution


Clearly, for any [itex]0\neq m\in\mathbb{Z}_{10}[/itex] and [itex]0\neq n \in \mathbb{Z}_{12}[/itex] we have that [itex]m\otimes n = mn(1\otimes 1)[/itex], and if either [itex]m=0[/itex] or [itex]n=0[/itex] we have that [itex]m\otimes n = 0\otimes 0[/itex].

I just don't know how to finish it.

I'm just working through Vakil's Algebraic Geometry monograph for fun, and this seemingly trivial question is bothering me.

Thank you for any help!
 
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  • #2
Can you prove that [itex]1\otimes 10=0[/itex]?
 
  • #3
yepp

[itex]1 \otimes 10 = 10(1\otimes 1)=10\otimes 1 = 0\otimes 1=0[/itex].
 
  • #4
What about [itex]m\otimes 1[/itex]. Can you prove that this is 0 for even m?
 
  • #5
micromass said:
What about [itex]m\otimes 1[/itex]. Can you prove that this is 0 for even m?

Well it is trivial if [itex]m=0[/itex], so suppose [itex]m\neq 0[/itex] even. Then it follows that [itex]m=2k[/itex] hence [itex]m \otimes 1 = 2k\otimes 1 = 2(k\otimes 1)[/itex]

Hence, for any morphism of [itex]\mathbb{Z}[/itex]-modules [itex]\phi : (\mathbb{Z}_{10}\otimes_{\mathbb{Z}}\mathbb{Z}_{12})\to \mathbb{Z}_{2}[/itex], it follows that [itex]\phi(m\otimes1)=2\phi(k\otimes 1)=0\in\mathbb{Z}_{2}[/itex].

Also, another question, if we're dealing with [itex]\mathbb{Z}[/itex]-modules, we can treat them as abelian groups. So what would the tensor product of [itex]\mathbb{Z}[/itex]-modules translate to for abelian groups?
 
  • #6
Actually, I guess that doesn't really prove anything since it isn't assumed that [itex]\phi[/itex] is injective. Hrmm...
 
  • #7
Try the following for example:

[tex]2\otimes 1=12\otimes 1=0[/tex]

As for your other question. The tensor product of abelian groups is exactly defined as the tensor product of [itex]\mathbb{Z}[/itex]-modules.
 
  • #8
micromass said:
Try the following for example:

[tex]2\otimes 1=12\otimes 1=0[/tex]

As for your other question. The tensor product of abelian groups is exactly defined as the tensor product of [itex]\mathbb{Z}[/itex]-modules.

We have [itex]0= 1\otimes 0 = 1\otimes 12= 12(1\otimes 1)=12\otimes 1=(2\otimes 1)+ (10\otimes 1)=(2\otimes 1)+0=2\otimes 1[/itex].

Hence, [itex]m\otimes 1 = k(2\otimes 1)=0[/itex].
 
  • #9
Thanks for the help!

I got it.
 

1. What is a simple tensor product?

A simple tensor product is a mathematical operation that combines two vector spaces to create a new vector space. It is used to represent the relationship between two different physical quantities or systems.

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

A simple tensor product only includes the most basic elements of a tensor product, while a regular tensor product includes all possible combinations of elements. This means that a simple tensor product is a subset of a regular tensor product.

3. What are the applications of a simple tensor product?

A simple tensor product has a wide range of applications in physics, engineering, and mathematics. It is used to describe the relationships between different physical quantities, such as force and displacement, and to perform calculations in quantum mechanics and relativity.

4. How is a simple tensor product calculated?

To calculate a simple tensor product, you must first define the basis elements of each vector space. Then, you multiply the basis elements of one vector space by the basis elements of the other vector space. The resulting products form the basis elements of the new vector space, which is the simple tensor product.

5. Can a simple tensor product be represented graphically?

Yes, a simple tensor product can be represented graphically using the Kronecker product notation. This notation uses a symbol, such as ⊗, to represent the simple tensor product between two vector spaces. The resulting matrix can then be used to perform calculations and visualize the relationship between the two vector spaces.

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