Matrix Representation of Permutations: (1874)(36759)

In summary, the conversation discusses the composition of two permutations, (1874) and (36759), and how to write them in a two row matrix form. The correct matrix is [1 2 3 4 5 6 7 8 9] [8 2 6 1 9 4 5 7 3], with the first permutation applied first and the second permutation applied second.
  • #1
Punkyc7
420
0
Write the following in two row matrix form.


(1874)(36759)



I have

[1 2 3 4 5 6 7 8 9]
[8 2 6 1 9 7 4 7 3]

my problem is couldn't 7 also go to 5 and have 8 going to 7 and 6 going to 7 so I am sure I am wrong but I am not sure why.
 
Physics news on Phys.org
  • #2
With (1874)(36759) they mean the COMPOSITION of two permutation. So you first need to apply (36759) and then (1874). So you first need to work out the composition before you write down the matrix.
 
  • #3
oh that would make more sense. So how would I go about doing that.

would I say that
3->6
6->7
5->9
9->3

then
1->8
8->7
7->4
4->1

and since 6->7 and 7-> 4 I can say 6->4

[1 2 3 4 5 6 7 8 9]
[8 2 6 1 9 4 ? 7 3] and since 5 hasnt been used would I just stick it into get 7->5


[1 2 3 4 5 6 7 8 9]
[8 2 6 1 9 4 5 7 3]

Is that right?
 
  • #4
Punkyc7 said:
would I say that
3->6
6->7
5->9
9->3

You forgot to put 7->5 here. You can read that off (1874)(36759)

[1 2 3 4 5 6 7 8 9]
[8 2 6 1 9 4 5 7 3]

Is that right?

Yes.
 
  • #5
oops... Thank you.
 

FAQ: Matrix Representation of Permutations: (1874)(36759)

What is abstract algebra matrix?

Abstract algebra matrix is a field of mathematics that deals with the study of algebraic structures such as groups, rings, and fields. In this context, matrices are used as a tool to represent and manipulate algebraic structures.

How is abstract algebra matrix different from linear algebra?

Linear algebra is a branch of mathematics that focuses on the study of vector spaces and linear transformations, while abstract algebra matrix encompasses a wider range of algebraic structures, including groups, rings, and fields. Linear algebra uses matrices as a tool for solving systems of linear equations, while abstract algebra matrix uses matrices to represent and manipulate various algebraic structures.

3. What are some common applications of abstract algebra matrix?

Abstract algebra matrix has various applications in fields such as computer science, physics, and engineering. Some examples include coding theory, cryptography, quantum mechanics, and optimization problems.

4. Can abstract algebra matrix be applied to real-world problems?

Yes, abstract algebra matrix can be applied to real-world problems, especially in fields such as computer science and engineering. It can be used to model and solve complex systems, as well as to optimize processes and algorithms.

5. Is knowledge of linear algebra required for understanding abstract algebra matrix?

While a basic understanding of linear algebra is helpful, it is not required for understanding abstract algebra matrix. However, some concepts from linear algebra, such as matrix operations and properties, are also used in abstract algebra matrix.

Similar threads

Replies
2
Views
948
Replies
4
Views
546
Replies
2
Views
879
Replies
3
Views
930
Replies
5
Views
343
Replies
4
Views
1K
Back
Top