How Does Variation in the Metric Determinant Depend on Its Inverse?

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SUMMARY

The discussion focuses on the mathematical relationship between the variation in the metric determinant, denoted as δh, and its inverse. It establishes that δh can be expressed as δh = -h h_{αβ} δh^{αβ}, where h represents the determinant of the metric tensor h_{αβ}. The hint provided indicates that the determinant of a matrix A can be calculated using the formula det A = exp(Tr(ln A)), which is crucial for understanding the derivation of the variation in the metric determinant.

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Let h = det h_{alpha beta}. The number of dimensions is not necessarily four. Show that
<br /> \[<br /> \delta h = -h h_{\alpha \beta} \delta h^{\alpha \beta} \, ;<br /> \]<br />

delta h is the variation in h.

Not sure how to start.
 
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HINT:

\mbox{det} A=\exp\mbox{Tr} \ \ln A

Daniel.
 

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