Calculating divergence using covariant derivative

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Homework Statement



Using the definition of divergence [itex]d(i_{X}dV) = (div X)dV[/itex] where [itex]X:M\rightarrow TM[/itex] is a vector field, [itex]dV[/itex] is a volume element and [itex]i_X[/itex] is a contraction operator e.g. [itex]i_{X}T = X^{k}T^{i_{1}...i_{r}}_{kj_{2}...j_{s}}[/itex], prove that if we use Levi-Civita connection then the divergence can also be written as
[itex]div X = X^{i}_{;i}[/itex]

2. The attempt at a solution

This is what i tried:
since [itex]dV = dx^{1} \wedge ... \wedge dx^{n}[/itex]
after some calculation i conclude that [itex]i_{X}dV = \sum_{i=1}^{n}(-1)^{i}X_{i}dx^{1} \wedge ... \wedge dx^{i-1} \wedge dx^{i+1} \wedge ... \wedge dx^{n}[/itex]
so [itex]d(i_{X} dV) = (\partial _{i}X^{i})dV[/itex]
Then i attempt the use the fact that [itex]\Gamma^{i}_{jk} = \Gamma^{i}_{kj}[/itex] to get a lot of cancellation and show that [itex]\partial _{i}X^{i} = X^{i}_{;i}[/itex]
but i couldn't.
So can anyone please help? Thx in advanced :)
 
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Your first step is wrong. You should have

[tex]dV = \sqrt{g} \, dx^1 \wedge \ldots \wedge dx^n[/tex]
where [itex]\sqrt{g}[/itex] is the square root of the determinant of the Riemannian metric.
 
Thank you chiro and Ben for your reply :)
I see that i forgot about [itex]\sqrt{g}[/itex] in front but can't i always find an orthonormal basis and work in that?
and by doing that g should become 1 right?
 
ok i think i understand now, if i use orthonormal basis then the connection may no be Levis-Civita.
 
If you use an orthonormal basis, then your basis 1-forms are not necessarily closed (so it would be incorrect to write them as dx).
 
yes. that make sense.
Now i got the solution, thanks for your help.