Calculating divergence using covariant derivative

v2536
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Homework Statement



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

2. The attempt at a solution

This is what i tried:
since dV = dx^{1} \wedge ... \wedge dx^{n}
after some calculation i conclude that 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}
so d(i_{X} dV) = (\partial _{i}X^{i})dV
Then i attempt the use the fact that \Gamma^{i}_{jk} = \Gamma^{i}_{kj} to get a lot of cancellation and show that \partial _{i}X^{i} = X^{i}_{;i}
but i couldn't.
So can anyone please help? Thx in advanced :)
 
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Hey v2536 and welcome to the forums.

I don't know much about differential geometry, but I do understand in essence what you are trying to do.

Maybe you should look at this website (http://en.wikipedia.org/wiki/Divergence#Generalizations). A lot of the results you need are found in the coordinate free form you are trying to prove.
 
Your first step is wrong. You should have

dV = \sqrt{g} \, dx^1 \wedge \ldots \wedge dx^n
where \sqrt{g} 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 \sqrt{g} 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.
 
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