A Determinant's relation to permutations

In summary, the determinant for a 3x3 matrix can be calculated by finding the sum of even and odd permutations of the matrix elements, with the even permutations having a positive sign and the odd permutations having a negative sign. This concept is a special case of a more general statement involving all permutations and their corresponding signs. The relationship between permutations and determinants can be further explored through the understanding of inverse matrices.
  • #1
vjk2
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for a 3 x 3 matric of values

a11 a12 a13
b21 b22 b23
c31 c32 c33

the determinant will be a11a22a33+a12a23a31+a13a21a32-a13a22a31-a12a21a33-a11a23a32

the last three are negative because they are odd permutations. The first three are even permutations

A permutation apparently is found by the number that are out of order, order being 1,2,3,4 increasing.

4,2,1,3 would result in a 2+1=3 permutation I believe.

How does all of this fit together? I do not understand why permutations matter in relation to the determinant, which fits into the inverse and so on.
 
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  • #2
What you have there is a special case of the more general statement:

[tex]\det A=\sum_P \sigma(P) A_{1,P1}\cdots A_{n,Pn}[/tex]

where the sum is over all permutations P on the set {1,2,...,n} and σ(P) is =1 if the permutation is even, and =-1 if the permutation is odd. (I usually write (-1)P instead of σ(P), but that notation confuses most people).

I don't know if there's a short answer to the question of how it all fits together. Can you ask a more specific question?
 

What is a determinant?

A determinant is a mathematical value that can be calculated from a square matrix. It represents the scaling factor of the matrix and is used in many areas of mathematics, including linear algebra and calculus.

How is a determinant related to permutations?

A determinant is related to permutations because it can be calculated by multiplying the elements of a matrix by their corresponding signs in a permutation. This is known as the Leibniz formula for determinants.

What is the significance of a determinant in linear algebra?

In linear algebra, a determinant is used to determine if a system of linear equations has a unique solution, no solution, or infinitely many solutions. It is also used to find the inverse of a matrix and to calculate the area or volume of a parallelogram or parallelepiped.

How is a determinant used in calculus?

A determinant is used in calculus to find the Jacobian matrix, which is used to calculate the change of variables in multiple integrals. It is also used in the chain rule for multivariate functions.

What are some real-world applications of determinants and permutations?

Determinants and permutations have many real-world applications, including in physics, economics, and computer graphics. They are used to solve systems of equations, calculate probability distributions, and determine the orientation of objects in 3D space.

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