Covariant derivative of a (co)vector field

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Homework Help Overview

The discussion revolves around the covariant derivative of vector and covector fields, specifically focusing on the mathematical expressions and definitions involved in their computation. Participants explore the implications of the covariant derivative in the context of differential geometry.

Discussion Character

  • Mathematical reasoning, Assumption checking, Problem interpretation

Approaches and Questions Raised

  • Participants discuss the computation of the covariant derivative for both vector fields and covector fields, raising questions about specific terms and definitions, such as the evaluation of ##\nabla_{\partial_l}(dx^k)## and the properties of constants in the context of covariant derivatives.

Discussion Status

The discussion is active, with participants providing insights and corrections to each other's reasoning. Some participants have offered guidance on the properties of the covariant derivative, while others are exploring different interpretations and approaches to the problem.

Contextual Notes

Participants express uncertainty regarding the definitions and properties of certain terms, particularly in relation to the covariant derivative of constants and the distinction between different forms of expressions involving the delta function.

Markus Kahn
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Homework Statement
Calculate ##(\nabla_X Y)^i## and ##(\nabla_X \omega)_i##, where ##X## is a vector field and ##\omega## is a covector field.
Relevant Equations
Definition of the covariant derivative:
A covariant differentiation on a manifold ##\mathcal{M}## is a mapping ##\nabla## which assigns to every pair ##X, Y## of ##C^\infty## vector fields on ##\mathcal{M}## another ##C^\infty## vector field ##\nabla_X Y## with the following properties:

1) ##\nabla_{X} Y \text { is bilinear in } X \text { and } Y##,
2) ##\text { if } f \in \mathcal{F}(\mathcal{M}), \text { then }##
$$\begin{array}{l}{\nabla_{f X} Y=f \nabla_{X} Y} \\ {\nabla_{X}(f Y)=f \nabla_{X} Y+X(f) Y}\end{array}.$$
My attempt so far:
$$\begin{align*}
(\nabla_X Y)^i &= (\nabla_{X^l \partial_l}(Y^k\partial_k))^i=(X^l \nabla_{\partial_l}(Y^k\partial_k))^i\\
&\overset{2)}{=} (X^l (Y^k\nabla_{\partial_l}(\partial_k) + (\partial_l Y^k)\partial_k))^i = (X^lY^k\Gamma^n_{lk}\partial_n + X^lY^k{}_{,l}\partial_k)^i\\
&= (X^lY^k\Gamma^n_{lk}\partial_n + X^lY^k{}_{,l}\partial_k) x^i\\
&= X^lY^k\Gamma^i_{lk}+ X^lY^i{}_{,l}
\end{align*}$$
This seems reasonable to me, at least all the dummy indices disappear. But when I try to do the same for the covector field I quickly run into problems...
$$\begin{align*}
(\nabla_X \omega)_i &= (\nabla_{X^l \partial_l}(\omega_kdx^k))_i = (X^l\nabla_{\partial_l}(\omega_kdx^k))_i \\
&= (X^l(\omega_k \nabla_{\partial_l}(dx^k) +( \partial_l \omega_k) dx^k))_i \overset{(*)}{=}(X^l\omega_k \nabla_{\partial_l}(dx^k) +X^l \omega_{k,l} dx^k)\partial_i \\
&= X^l\omega_k \nabla_{\partial_l}(dx^k) (\partial_i) +X^l \omega_{k,l} dx^k(\partial_i) = X^l\omega_k \nabla_{\partial_l}(dx^k) (\partial_i) +X^l \omega_{i,l}
\end{align*}$$
After ##(*)## I started guessing, but now I have to evaluate ##\nabla_{\partial_l}(dx^k) ## and I'm not really sure what this is... If I had to guess I'd probably say
$$\nabla_{\partial_l}(dx^k) = U_{ln}^{k}dx^n,$$
where ##U_{ln}^{k}## is somehow related to ##\Gamma^n_{lk}##. Can someone maybe help me here? How exactly is ##\nabla_{\partial_l}(dx^k) ## defined?
 
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What is ##\nabla_X(dx^a(\partial_a))##?
 
I think it's ##\nabla_X (dx^a(\partial_a)) = \nabla_X \delta^a_a = \nabla_X##, or isn't it?
 
Sorry, I meant to write ##\nabla_X(dx^a(\partial_b))##. Either way, you cannot just remove the delta as you have done in the last step.
 
I'm sorry, I can't follow you... I mean we then would have ##\nabla _X (dx^a (\partial_b))= \nabla_X \delta^a_b = X^i\nabla_{\partial_i}\delta^a_b##. But what now? Also, why exactly are we considering this? I mean, there is a difference between ##\nabla _X (dx^a (\partial_b)) ## and ##(\nabla _X dx^a) (\partial_b)##, or isn't there?
 
We are considering this because there are two ways of computing it. The delta is a constant. What is the covariant derivative of a constant? Can you think of a second way of computing the original expression? (Yes, the two expressions you mentioned are inequivalent, and that is a further hint.)
 
Orodruin said:
The delta is a constant. What is the covariant derivative of a constant?
I don't know. Usually I'd say the "derivative" of a constant is zero, but I'm really not sure if this is true when talking about the covariant derivative... The only things I know about this derivative are written above, and we defined ##\nabla_{\partial_i}\partial_j := \Gamma^k_{ij}\partial_k##.

Orodruin said:
Can you think of a second way of computing the original expression?
With this you mean ##\nabla_{\partial_i}dx^a##? I'm sorry, but I don't really have any other ideas..
 
One of the conditions on the covariant derivative is that it reduces to a directional derivative on scalar fields.

Another is that ##\nabla_X(\omega(V)) = \omega(\nabla_X V) + (\nabla_X \omega)(V)##, where ##\omega## is a one-form and V and X vectors.
 
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Alright, so if I don't misunderstand we have
$$\begin{align*}
(\nabla_{\partial_l}dx^k)(\partial_i) &= \nabla_{\partial_l}(dx^k(\partial_i)) - dx^k(\nabla_{\partial_l}\partial_i)\\
&= \nabla_{\partial_l}\delta^k_i - dx^k(\Gamma^u_{li}\partial_u)\\
&= \nabla_{\partial_l}\delta^k_i - \Gamma^k_{li} = -\Gamma^k_{li},
\end{align*}$$
which then leads directly to
$$(\nabla_X \omega)_i= X^k\omega_{i,k} - \Gamma^j_{ki}X^k\omega_j.$$
Thank you very much for the help!
 
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  • #10
Yes, that is correct.
 

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