Derivatives in a non-trivial metric

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The discussion revolves around calculating derivatives in a curved space defined by a specific metric. The original poster seeks clarification on whether to use the gradient or covariant derivative for their function. Participants emphasize the importance of covariant differentiation, which incorporates the Christoffel symbol to ensure the result is a tensor and invariant. They clarify that while partial derivatives of a scalar are valid, the square of partial derivatives does not generally form a tensor. Ultimately, the original poster expresses satisfaction with the responses and indicates they have resolved their confusion.
cj7529
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I'm trying to work out:
(∇f)^2 (f is just some function, its not really important)

While working in curved space with a metric:
ds^2 = α dt^2 + dr^2 + 2c√(α+1) dtdr

I'm not really sure how to calculate a derivative in curved space, any help would be appreciated

thanks
 
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Well, hmm...Your question is above my pay-grade. But it seems to me that you have a 2 dimensional space here.
you have t and r. ∇f is DEFINED as ∑ ∂f/∂qi over all i (where qi are the coordinates).
I am assuming you do really mean (∇f)² and not ∇²f which is completely different.
In general, you are not going to get an invariant (coordinate independent) quantity by simply differentiating a variable. You need to use covariant differentiation (which includes the Christofel symbol) and results in a tensor (invariant). This may or may not be important in your problem, IDK.
Oh my! In looking at the wikipedia article on covariant derivatives, I see that ∇ is also used to symbolize them! (I was familiar with using Df to symbolize them). So, now I'm not sure what your question is? Did you mean the square of the gradient or did you mean the square of the covariant derivative? Sorry, I almost never revisit a thread I've answered, but hopefully someone else will. Again, your question is above my competence level. Take it for what its worth.
 
cj7529 said:
I'm trying to work out:
(∇f)^2 (f is just some function, its not really important)
I'm not really sure how to calculate a derivative in curved space, any help would be appreciated
The gradient ∇f is ∂f/∂xi, just the partial derivatives wrt the coordinates.
∇f·∇f is where the metric comes in, ∇f·∇f = gij ∂f/∂xi ∂f/∂xj
 
Are you trying to express that as a tensor? partial derivatives are not tensors in curved space time.
 
HomogenousCow said:
Are you trying to express that as a tensor? partial derivatives are not tensors in curved space time.
Partial derivatives of a scalar are. The distinction between partial derivative and covariant derivative arises only when you're differentiating a vector or tensor quantity. I assume by "some function" the OP means a scalar.
 
Bill_K said:
Partial derivatives of a scalar are.
But is the square of the partials a tensor in general? To simplify, in Rn is Tμ=(∂f)^2 a true vector in general? I'd say it isn't in general, but I'm not sure exactly in which cases it is.
 
ah yeah thanks for the replies, think I've got it sorted now!
 
I guess as long as Ti=δij ∂f/Xj
 
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