Homomorphisms and kernels,images

In summary, the function i : Z12 → Z12 defined by i([a]) = 3[a] for all [a] ∈ Z12 is a group homomorphism with a kernel of [9] and an image of [0], [4], and [8]. The elements [10] and [11] are not in the kernel, as shown by their resulting values of 6 and 11 when multiplied by 3.
  • #1
kathrynag
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0

Homework Statement


Show that the function i : Z12 → Z12 defined by i([a]) = 3[a] for all [a] ∈ Z12 is a
group homomorphism and determine the kernel and image.


Homework Equations





The Attempt at a Solution


Well, I started by computing i([a]i()
=3[a]3
=9[ab]
It should equal i[ab], but that equals 3[ab]
 
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  • #2
Z12 are group on operation addition, not multiplication
 
  • #3
Oh that makes a lot more sense now.
kernel you want i(a)=e
kernel= [9]
I'm not quite sure about image.
 
  • #4
[0] is in the kernel too, also [4] and [8] and maybe even more
 
  • #5
[0],[4],[[8]
Now that I think about [9] isn't in the kernel 3[9]=[27]=[3], not e
 
  • #6
Well, it seems that we found the kernel as [10] and [11] are NOT in the kernel.
 
  • #7
yeah [10] and [11] are not in the kernel.
3[10]=[30]=6
3[11]=33=11
 

FAQ: Homomorphisms and kernels,images

What is a homomorphism?

A homomorphism is a mathematical function that preserves the structure of a given mathematical object. In other words, it maps elements from one mathematical object to another in a way that preserves their operations and relationships. For example, in group theory, a homomorphism is a map between two groups that preserves the group operation.

What is a kernel in homomorphisms?

The kernel of a homomorphism is the set of elements in the domain that are mapped to the identity element in the codomain. In other words, it is the set of elements that are mapped to the neutral element of the group, ring, or other mathematical structure. The kernel is an important concept in homomorphisms as it helps to identify the structure and properties of the homomorphism.

What is an image in homomorphisms?

The image of a homomorphism is the set of all elements in the codomain that are mapped from the elements in the domain. In other words, it is the range of the homomorphism. The image is also an important concept in homomorphisms as it helps to determine the size and structure of the codomain.

How are kernels and images related in homomorphisms?

The kernel and image of a homomorphism are closely related. In fact, the image is a subset of the codomain, and the kernel is a subset of the domain. Additionally, the size of the kernel is related to the size of the image through the first isomorphism theorem, which states that the size of the kernel is equal to the size of the domain divided by the size of the image.

What are some real-world applications of homomorphisms and kernels?

Homomorphisms and kernels have many applications in various fields such as cryptography, computer science, and physics. In cryptography, they are used in encryption algorithms to ensure the security and privacy of data. In computer science, they are used in data compression and error correction techniques. In physics, they are used in the study of symmetry and conservation laws. Additionally, they have applications in other areas such as image recognition, pattern recognition, and signal processing.

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