Determinant of Matrix Component

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Homework Help Overview

The discussion revolves around finding the partial derivative of the determinant of a matrix with respect to one of its components, specifically focusing on the expression $$\frac{\partial \det(A)}{\partial A_{pq}} = \frac{1}{2}\epsilon_{pjk}\epsilon_{qmn}A_{jm}A_{kn}$$. The subject area is linear algebra, particularly the properties of determinants and their derivatives.

Discussion Character

  • Exploratory, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants explore the differentiation of the determinant using the Levi-Civita symbol and question how to manipulate the matrix to facilitate this process. There are suggestions to rearrange the matrix and to consider the implications of moving specific components to the top-left position. Some participants express uncertainty about the general expression for the determinant and the implications of row and column operations.

Discussion Status

The discussion is ongoing, with various approaches being considered. Some participants have suggested specific methods for evaluating the determinant and its partial derivatives, while others are seeking clarification on the techniques proposed. There is no explicit consensus yet, but productive lines of inquiry are being explored.

Contextual Notes

Participants are working within the constraints of a homework problem, which may limit the methods they can use. There is also a focus on ensuring that the determinant is expressed correctly in terms of its components, particularly when manipulating the matrix for differentiation.

member 428835

Homework Statement


Show $$\frac{\partial \det(A)}{\partial A_{pq}} = \frac{1}{2}\epsilon_{pjk}\epsilon_{qmn}A_{jm}A_{kn}$$

Homework Equations


##\det(A)=\epsilon_{ijk}A_{1i}A_{2j}A_{3k}##

The Attempt at a Solution


$$\frac{\partial \det(A)}{\partial A_{pq}}=\frac{\partial}{\partial A_{pq}}\epsilon_{ijk}A_{1i}A_{2j}A_{3k}\\
=\epsilon_{ijk}\frac{\partial}{\partial A_{pq}}A_{1i}A_{2j}A_{3k}$$
but I'm now stuck. I feel like one of the ##A## components on the RHS must go to 1 and the rest would be constant, leaving some sort of ##\epsilon A_{yy} A_{xx}## behind. I'm thinking along the lines of ##\partial A_{ij}/\partial A_{ik} = \delta_{jk}##. Any ideas?
 
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joshmccraney said:
Any ideas?

I'd be tempted to move ##A_{pq}## to the top-left of the matrix.
 
PeroK said:
I'd be tempted to move ##A_{pq}## to the top-left of the matrix.
Are you suggesting take
$$\frac{\partial \det(A)}{\partial A_{11}}=\frac{\partial}{\partial A_{11}}\epsilon_{ijk}A_{1i}A_{2j}A_{3k}\\
=\epsilon_{ijk}A_{2j}A_{3k}\frac{\partial}{\partial A_{11}}A_{1i}\\
=\epsilon_{1jk}A_{2j}A_{3k}$$
 
joshmccraney said:
Are you suggesting take
$$\frac{\partial \det(A)}{\partial A_{11}}=\frac{\partial}{\partial A_{11}}\epsilon_{ijk}A_{1i}A_{2j}A_{3k}\\
=\epsilon_{ijk}A_{2j}A_{3k}\frac{\partial}{\partial A_{11}}A_{1i}\\
=\epsilon_{1jk}A_{2j}A_{3k}$$

One way to do it is just to do it for all 9 elements. Not very elegant.

Otherwise, you need to get a general expression for the terms that have ##A_{pq}## in them. It might be easier to rearrange the matrix, getting ##A_{pq}## to the top left corner.
 
PeroK said:
One way to do it is just to do it for all 9 elements. Not very elegant.
Agreed!

PeroK said:
Otherwise, you need to get a general expression for the terms that have ##A_{pq}## in them. It might be easier to rearrange the matrix, getting ##A_{pq}## to the top left corner.
What do you mean "general expression"? Also, you suggest getting ##A_{pq}## to the top left, doesn't this mean making ##A_{pq}=A_{11}##?
 
joshmccraney said:
Agreed!

What do you mean "general expression"? Also, you suggest getting ##A_{pq}## to the top left, doesn't this mean making ##A_{pq}=A_{11}##?

It means using row and column operations. Alternatively, express the determinant in an equivalent form for expansion via the ##p##th row.
 
PeroK said:
It means using row and column operations. Alternatively, express the determinant in an equivalent form for expansion via the ##p##th row.
Since the determinant is a scalar, I'm unsure how to express it for the ##p##th row. Could you elaborate?
 
joshmccraney said:
Since the determinant is a scalar, I'm unsure how to express it for the ##p##th row. Could you elaborate?

You can evaluate a determinant using any row as your starting row.

But, in fact, if you permute the rows to get the ##p##th row at the top, with row ##p+1## second and row ##p+2## third (where these are numbers modulo 3), I think it comes out easily enough. Then permute the columns to get the colums in order ##q, q+1, q+2##.

Then, if you do the same trick with the Levi-Civita, I think the equation should drop out for general ##p, q##.
 
PS by the same trick, I mean that:

##\epsilon_{pjk} = 1## when ##j = p+1## and ##k = p+2##
##\epsilon_{pjk} = -1## when ##j = p+2## and ##k = p+1##

And is ##0## otherwise.
 
  • #10
PeroK said:
You can evaluate a determinant using any row as your starting row.
I agree.

PeroK said:
But, in fact, if you permute the rows to get the ##p##th row at the top, with row ##p+1## second and row ##p+2## third (where these are numbers modulo 3), I think it comes out easily enough. Then permute the columns to get the colums in order ##q, q+1, q+2##.
I don't think I'm understanding what you're saying. Could you illustrate, perhaps with a different problem? I just don't know the technique you suggest.

PeroK said:
PS by the same trick, I mean that:

##\epsilon_{pjk} = 1## when ##j = p+1## and ##k = p+2##
##\epsilon_{pjk} = -1## when ##j = p+2## and ##k = p+1##

And is ##0## otherwise.
I agree.
 
  • #11
Suppose we take the case ##p, q = 1, 1##:

##det(A) = A_{11}(A_{22}A_{33} - A_{23}A_{32}) + \dots##

Where the rest of the terms do not involve ##A_{11}##, hence you can calculate the required partial derivative.

You can also check fairly easily that:

##\frac{1}{2}\epsilon_{1jk}\epsilon_{1mn}A_{jm}A_{kn} = A_{22}A_{33} - A_{23}A_{32}##

Now, by either two row operations or no row operations and two column operations or no column operations, you permute ##A_{pq}## to the top left of your determinant. You need to check this for ##p, q = 1, 2, 3##. And, this gives

##det(A) = A_{pq}(A_{p+1, q+1}A_{p+2, q+2} - A_{p+1, q+2}A_{p+2, q+1}) + \dots##

Where we are using modulo 3 here. And that's just about it. All you need to do is manipulate the expression involving the Levi_Civita coefficients using a similar modulo 3 approach.
 
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  • #12
Thanks!
 

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