Understanding Lie Derivative: L_X f^\mu = (\partial_\alpha X^\mu) f^\alpha

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latentcorpse
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I'm trying to show that [tex]L_X f^\mu = ( \partial_\alpha X^\mu) f^\alpha[/tex] where [tex]f^\mu[/tex] is a basis for the cotangent space [tex]T_p^*(M)[/tex]

The answer says

[tex]L_X dx^\mu = dL_X x^\mu[/tex] (ive already shown this)
[tex]=dX(x^\mu)[/tex] by properties of lie derivative on a function
[tex]=dx^\mu (dX)[/tex] using [tex]X(f)=df(X)[/tex]
[tex]=(\partial_\alpha X^\mu) x^\alpha[/tex] (***)

and then he just sets [tex]f=x^\mu[/tex] to get the result.

I don't understand how he gets the line (***). Can anyone explain where this comes from?

Thanks.
 
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i am no expert with lie derivatives. i think these are all saying 'the derivative of f in the direction of X' but f itself is a vector dual to X, so that x(X)=X(x( ))=X*x=x*X=f(X) is an inner product into the field, so certainly x=f.
 
latentcorpse said:
I'm trying to show that [tex]L_X f^\mu = ( \partial_\alpha X^\mu) f^\alpha[/tex] where [tex]f^\mu[/tex] is a basis for the cotangent space [tex]T_p^*(M)[/tex]
To be clear, we're assuming here that we have a coordinate basis, or [itex]\partial_\alpha[/itex] doesn't make sense. In particular, this means that [itex]f^\mu=d x^\mu[/itex].
The answer says

[tex]L_X dx^\mu = dL_X x^\mu[/tex] (ive already shown this)
[tex]=dX(x^\mu)[/tex] by properties of lie derivative on a function
So far so good; this is the tricky bit. But to be clear, this last line reads [itex]=d(X(x^\mu))[/itex] and NOT [itex]=(dX)(x^\mu)[/itex]; X is a vector and not a form so it doesn't have an exterior derivative.

[tex]=dx^\mu (dX)[/tex] using [tex]X(f)=df(X)[/tex]
Here's the problem. As mentioned, [itex]d X[/itex] is meaningless. The way to proceed here is to instead write X in coordinates, [itex]X=X^\nu \partial_\nu[/itex], from which we get
[tex]=\mathrm{d}(X(x^\mu))=\mathrm{d}X^\mu = (\partial_\nu X^\mu)\mathrm{d}x^\nu[/tex]
which is what we wanted.

To be clear what all the objects are: [itex]x^\mu[/itex] are the coordinates, a set of functions. [itex]X[/itex] is a vector field, as are [itex]\partial_\mu[/itex]. [itex]X^\mu[/itex] are components of the vector, a set of functions. Finally, [itex]\mathrm{d}x^\mu[/itex] are one forms.