Need help finding permutation matrix

  • Thread starter Thread starter Samuelb88
  • Start date Start date
  • Tags Tags
    Matrix Permutation
Click For Summary
SUMMARY

The permutation matrix associated with the permutation defined by p(i) = n - i + 1 is an n x n matrix with a single 1 in each row and column, represented as A = e_{n,1} + e_{n-1,2} + ... + e_{1,n}. The cycle decomposition of p is given by (1, n)(2, n-1)..., indicating that the permutation reverses the order of indices. The sign of the permutation matrix A is determined by the number of transpositions involved, calculated as (-1)^k, where k equals (n-1)/2 for odd n and n/2 for even n.

PREREQUISITES
  • Understanding of permutation matrices and their properties
  • Familiarity with cycle decomposition of permutations
  • Knowledge of determinants and their relation to matrix signs
  • Basic concepts of linear algebra, specifically regarding matrices
NEXT STEPS
  • Study the properties of permutation matrices in linear algebra
  • Learn about cycle notation and its applications in permutations
  • Explore the relationship between determinants and the sign of permutations
  • Investigate the concept of transpositions and their role in permutation theory
USEFUL FOR

Students studying linear algebra, mathematicians interested in permutation theory, and anyone seeking to understand the properties of permutation matrices and their applications in various mathematical contexts.

Samuelb88
Messages
160
Reaction score
0

Homework Statement


What is the permutation matrix associated to the permutation of n indices defined by p(i) = n - i + 1? What is the cycle decomposition of p? What is it's sign?

Homework Equations


Prop. A permutation matrix P has a single 1 in each row and in each column, the rest of its entries being 0.

The Attempt at a Solution


I. So I'm a bit confused on how to find the matrix associated with p. Here's my attempt:

Given p(i) = n - i + 1 defines a permutation of n indices, then by our proposition, we know the associated matrix with p, say A, is an n \times n matrix with a single 1 in each row and each column, the rest of its entries being 0. Therefore it is of the form:

A = \sum_i e_{p(i),i} = \sum_i e_{n-i+1,i}

where e_{i,j} denotes an n \times n matrix with a single 1 in the ith row and jth column. From this we find that:

A = e_{n,1} + e_{n-1,2} + \cdots + e_{2,n-1} + e_{1,n}

I guess I am a bit confused on whether I can deduce that A is an n \times n matrix from the fact that p defines a permutation of n indices. If so, does that mean I can sum i from 1 to n in the formula above to find A?

II. To find the cycle of decomposition of p, provided that my answer from I. is correct, would I just write:

(n,1)(n-1,2) \cdots ?

III. I'm not sure on how to determine the sign of A seeing as it depends on the oddness or evenness of n.
 
Physics news on Phys.org
That function just reverses the order of the indices. The corresponding matrix has all 0s except that the diagonal from lower left to upper right is all 1s. It's sign is (-1)^n.

Yes, it can be decomposed into cycles, (1, n)(2, n-1), ...
 
I'm confused about the sign being (-1)^n. Suppose that n=2. Then:

A = \begin{bmatrix} 0 & 1 \\ 1 & 0 \end{bmatrix}

Then \det(A) = -1 and therefore the sign is -1. But according to your formula, the determinant of A should be 1 and therefore the sign should be 1.

Here's what I think. After some investigation, I noticed that the sign of the determinant changes every 2n. We know that our permutation is a product of k transpositions \tau_1 \tau_2 \cdots \tau_k, where k equals either \frac{n-1}{2}, if n is odd, or \frac{n}{2}, if n is even. Thus the sign of the permutation is (-1)^k, with k defined as above.
 
Last edited:

Similar threads

  • · Replies 8 ·
Replies
8
Views
1K
  • · Replies 3 ·
Replies
3
Views
2K
Replies
1
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 2 ·
Replies
2
Views
2K
Replies
15
Views
2K
  • · Replies 23 ·
Replies
23
Views
4K
  • · Replies 2 ·
Replies
2
Views
2K