A I can't verify a relationship between cofactor and determinant

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The discussion centers on the relationship between cofactors and determinants in linear algebra, specifically regarding the cofactor of a metric element. It is established that if C_{ij} is the cofactor of g_{ij}, then the equations involving the sums of cofactors lead to the conclusion that C_{jk} equals the determinant of g multiplied by the inverse metric g^{jk}. The determinant is defined using the Levi-Civita symbol, and the properties of anti-symmetry are highlighted to derive the determinant expression. The conversation emphasizes the importance of understanding these relationships for further mathematical exploration. Overall, the participants express gratitude for the insights shared, which clarify the connection between cofactors and determinants.
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In "General Relativity" by Hobson, et. al., in p. 66, we find a sentence starting "If we denote the value of the determinant ... " in the lower part of the page. I can not verify this assertion. Please help me the verification.
On that sentence, cofactor of an element of a metric is derived. But I can not verify it. Here I attached the copy of the page.
 

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It’s because the inverse of ##g_{\mu\nu}## is ##g^{\mu\nu}##, and the inverse of a matrix is given by the matrix of cofactors divided by the determinant.
 
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Rund and Lovelock ("Tensors, Differential Forms, and Variational Principles") have a good section on this in chapter 4

I hope you are familiar with Levi-Civita pseudo-tensors (https://en.wikipedia.org/wiki/Levi-Civita_symbol)

The determinant of the n-by-n matrix ##g_{\alpha\beta}## is given by:

##g = \epsilon^{\mu_1,\dots,\mu_n}g_{1\mu_1}\dots g_{n\mu_n}##

Now consider the following object:

##\omega^{\alpha\beta}=\sum_s\delta^\beta_s \epsilon^{\mu_1,\dots,\mu_{s-1},\alpha,\mu_{s+1},\dots,\mu_n}g_{1\mu_1}\dots g_{s-1,\mu_{s-1}}g_{s+1,\mu_{s+1}}\dots g_{n\mu_n}##

##g_{\kappa,\alpha}\omega^{\alpha\beta}=\sum_s \delta^\beta_s \epsilon^{\mu_1,\dots,\mu_n}g_{1\mu_1}\dots g_{s-1,\mu_{s-1}}\: g_{\kappa,\mu_s} \:g_{s+1,\mu_{s+1}}\dots g_{n\mu_n}##

Due to anti-symmetry of Levi-Civita, the only non-zero term in the ##\sum_s## is the one with ##s=\kappa##, but thet term is only non-zero if ##s=\beta=\kappa##. Now if all of this works, then we get the earlier expression for the determinant, so:

##g_{\kappa,\alpha}\omega^{\alpha\beta}=g\delta^\beta_\kappa##

So ##\omega^{\alpha\beta}=g g^{\alpha\beta}##, the inverse times the determinant. The co-factor matrix is here somewhere, but you don't need it to proceed. Note that from the above definition of the determinant

##\partial_c g = \partial_c g_{\beta \alpha}\sum_s\delta^\beta_s \epsilon^{\mu_1,\dots,\mu_{s-1},\alpha,\mu_{s+1},\dots,\mu_n}g_{1\mu_1}\dots g_{s-1,\mu_{s-1}}g_{s+1,\mu_{s+1}}\dots g_{n\mu_n} = g g^{\beta\alpha} \partial_c g_{\alpha\beta}##

Which is what you were after (once we use ##g_{\alpha\beta}=g_{\beta\alpha}##)
 
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Thank you for all the replies there. I will study the precious information and suggestions given by all of you. :smile:
 
Cryo said:
gαβ
Cryo said:
Rund and Lovelock ("Tensors, Differential Forms, and Variational Principles") have a good section on this in chapter 4

I hope you are familiar with Levi-Civita pseudo-tensors (https://en.wikipedia.org/wiki/Levi-Civita_symbol)

The determinant of the n-by-n matrix ##g_{\alpha\beta}## is given by:

##g = \epsilon^{\mu_1,\dots,\mu_n}g_{1\mu_1}\dots g_{n\mu_n}##

Now consider the following object:

##\omega^{\alpha\beta}=\sum_s\delta^\beta_s \epsilon^{\mu_1,\dots,\mu_{s-1},\alpha,\mu_{s+1},\dots,\mu_n}g_{1\mu_1}\dots g_{s-1,\mu_{s-1}}g_{s+1,\mu_{s+1}}\dots g_{n\mu_n}##

##g_{\kappa,\alpha}\omega^{\alpha\beta}=\sum_s \delta^\beta_s \epsilon^{\mu_1,\dots,\mu_n}g_{1\mu_1}\dots g_{s-1,\mu_{s-1}}\: g_{\kappa,\mu_s} \:g_{s+1,\mu_{s+1}}\dots g_{n\mu_n}##

Due to anti-symmetry of Levi-Civita, the only non-zero term in the ##\sum_s## is the one with ##s=\kappa##, but thet term is only non-zero if ##s=\beta=\kappa##. Now if all of this works, then we get the earlier expression for the determinant, so:

##g_{\kappa,\alpha}\omega^{\alpha\beta}=g\delta^\beta_\kappa##

So ##\omega^{\alpha\beta}=g g^{\alpha\beta}##, the inverse times the determinant. The co-factor matrix is here somewhere, but you don't need it to proceed. Note that from the above definition of the determinant

##\partial_c g = \partial_c g_{\beta \alpha}\sum_s\delta^\beta_s \epsilon^{\mu_1,\dots,\mu_{s-1},\alpha,\mu_{s+1},\dots,\mu_n}g_{1\mu_1}\dots g_{s-1,\mu_{s-1}}g_{s+1,\mu_{s+1}}\dots g_{n\mu_n} = g g^{\beta\alpha} \partial_c g_{\alpha\beta}##

Which is what you were after (once we use ##g_{\alpha\beta}=g_{\beta\alpha}##)
Thank you so much. Not being able to prove this was driving me crazy.

Oh, and I believe that ##\omega^{\alpha\beta}## is the co-factor. (I am new to this forum and may not have yet figured out how to express omega to the alpha, beta correctly.
 
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matrixbud said:
(I am new to this forum and may not have yet figured out how to express omega to the alpha, beta correctly.
You have figured it out! :smile:
 
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