Dual vector is the covariant derivative of a scalar?

In summary: Your Name]In summary, the conversation discusses an assertion made by Wald in his text on General Relativity. The assertion states that a dual vector can be equated to the covariant derivative of a function with respect to two different covariant derivatives. This may seem strange, but it is allowed because both covariant derivatives are acting on the same function. This is similar to how different coordinates can give the same result when acting on the same function.
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Homework Statement



In Wald's text on General Relativity he makes an assertion that I'm not sure why it is allowed mathematically. Here's the basic setup:

Let [itex]\omega_{b}[/itex] be a dual vector, [itex]\nabla_{b}[/itex] and [itex]\tilde{\nabla}_{b}[/itex] be two covariant derivatives and [itex]f\in\mathscr{F}[/itex]. Then we may let [itex]\omega_{b}=\nabla_{b}f=\tilde{\nabla}_{b}f[/itex]

This is in chapter 3 on curvature between equations 3.1.7 and 3.1.8...

Homework Equations



If it is relevant he is using this assertion to show:

[itex]\nabla_{a}\omega_{b}=\tilde{\nabla}_{a}\omega_{b}-C^{c}_{ab}\nabla_{c}f[/itex]

implies
[itex]\nabla_{a}\nabla_{b}f=\tilde{\nabla}_{a}\tilde{ \nabla}_{b}f-C^{c}_{ab}\nabla_{c}f[/itex]

The Attempt at a Solution



I know how to plug in his assertion I just don't get why the heck it is allowed? I've tried reading up on dual vector spaces but I haven't found what I'm looking for... any help would be appreciated.
 
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  • #2

Thank you for bringing this up. I understand your confusion about Wald's assertion and I will try my best to explain it to you.

Firstly, let's define what a dual vector is. A dual vector is a linear functional that maps a vector to a scalar. In other words, it takes in a vector and gives out a number. In contrast, a vector takes in a scalar and gives out a vector. In the context of General Relativity, dual vectors are used to describe the covariant derivative of a vector field.

Now, let's look at the assertion in question. Wald is saying that the dual vector ωb can be equated to the covariant derivative of the function f with respect to two different covariant derivatives, namely, \nabla_{b} and \tilde{\nabla}_{b}. This may seem strange at first, but it is allowed because both \nabla_{b} and \tilde{\nabla}_{b} are acting on the same function f. In other words, the dual vector ωb is defined by the covariant derivative of the function f, and since both \nabla_{b} and \tilde{\nabla}_{b} are acting on the same function, they will give the same result.

To understand this better, let's look at an example. Consider the function f(x) = x^2. The covariant derivative of this function with respect to the coordinate x is simply 2x. Now, let's say we use a different coordinate y, then the covariant derivative of f with respect to y is also 2x. This is because both coordinates are acting on the same function f(x) = x^2. In this case, we can say that the dual vector ωb is equal to both \nabla_{b}f and \tilde{\nabla}_{b}f.

I hope this explanation helps to clarify why Wald's assertion is allowed mathematically. If you have any further questions, please don't hesitate to ask. Keep up the good work with your studies!
 

FAQ: Dual vector is the covariant derivative of a scalar?

What is a dual vector?

A dual vector is a mathematical object that represents a linear function from a vector space to the real numbers. It is commonly used in the field of differential geometry to describe the behavior of a scalar field.

What does it mean for a dual vector to be the covariant derivative of a scalar?

In mathematical terms, the covariant derivative of a scalar is a dual vector that describes how the scalar field changes as you move along a given direction in space. It takes into account not only the change in value of the scalar, but also the change in basis vectors.

Can you explain the relationship between dual vectors and the covariant derivative?

Dual vectors are the mathematical objects that represent the covariant derivative of a scalar. In other words, the covariant derivative is a specific type of dual vector that describes how a scalar field changes in a certain direction.

What is the significance of the covariant derivative in differential geometry?

The covariant derivative is a crucial tool in differential geometry because it allows us to study how a scalar field changes as we move along a given direction in space. This is essential when dealing with curved spaces, as the behavior of a scalar field can vary significantly depending on the direction of movement.

How is the covariant derivative related to other concepts in differential geometry?

The covariant derivative is closely related to other concepts such as the tangent space, the connection, and the curvature tensor. These concepts are all used to describe the behavior of geometric objects in curved spaces, and the covariant derivative is an essential tool for understanding their relationships and properties.

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