Derivatives of contravariant and covariant vectors

In summary, the derivative of a contravariant coordinate transforms as a covariant 4-vector, and the derivative of a covariant coordinate transforms as a contravariant 4-vector. This is because the four-gradient of a scalar field transforms as a covariant 4-vector.
  • #1
nigelscott
135
4
Can someone explain why the derivative with respect to a contravariant coordinate transforms as a
covariant 4-vector and the derivative with respect to a covariant coordinate transforms as a
contravariant 4-vector.
 
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  • #2
Take a scalar field. Then its differential is
[tex]\mathrm{d} \phi=\mathrm{d} x^{\mu} \frac{\partial \phi}{\partial x^{\mu}}[/tex]
is also a scalar. Thus, since [itex]\mathrm{d} x^{\mu}[/itex] transforms contravariantly the four-gradient must transform covariantly, i.e., the correct notation is
[tex]\mathrm{d} \phi=\mathrm{d} x^{\mu} \partial_{\mu} \phi.[/tex]
In the same way you can show that deriving with respect to the covariant components leads to a contravariant object.
 
  • #3
The title says "Derivatives of contravariant and covariant vectors," which would be stuff like [itex]\nabla_a v_b[/itex] versus [itex]\nabla_a v^b[/itex]. But #1 seems to be talking about [itex]\nabla_a v_b[/itex] versus [itex]\nabla^a v_b[/itex] , and #2 seems to be talking about the gradient of a scalar, [itex]\nabla_a\phi[/itex] versus [itex]\nabla^a\phi[/itex]. Which are we really talking about here?

Not to be too pedantic, but we also don't have contravariant coordinates and covariant coordinates. Coordinates are always upper-index, and an ntuple of coordinates is not a vector or covector (at least not in GR). An infinitesimal *change* in the coordinates is an upper-index vector.

Assuming that the question is really the one posed in #1, then an easy way to see this is in terms of scaling. For example, suppose you change your units from meters to centimeters. All of your coordinates (which are upper-index quantities) get bigger by a factor of 100. Now suppose you have a scalar such as the electrical potential, and you take a gradient in order to find the electric field. The electric field is *smaller* in units of V/cm than it is in units of V/m. So the coordinates transform in one way under scaling, while a gradient transforms in the opposite way. This is what we expect for covariant quantities compared to contravariant ones.
 
  • #4
Sorry, I thought the question is about special relativity.
 
  • #5
Thanks for your responses. I think my question should really have asked about the 4-gradient in SR.

μ = ∂/xμ = [∂/∂t, ∇]

and

μ = ∂/xμ = [∂/∂t, -∇]

c = 1

So in these cases the indeces are just telling you that there is a change of sign in the spatial
coordinates. What I don't understand is how the process of taking the derivative of the contravariant components results in a covariant vector and vice versa.
 
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1. What are contravariant and covariant vectors?

Contravariant and covariant vectors are two types of vectors used in multilinear algebra and tensor analysis. They represent different ways of transforming and measuring vectors in different coordinate systems. A contravariant vector is represented by its components in a given coordinate system, while a covariant vector is represented by its components in the dual space of that coordinate system.

2. What is the difference between contravariant and covariant vectors?

The main difference between contravariant and covariant vectors lies in how they transform when changing coordinate systems. Contravariant vectors transform inversely to the coordinate system, while covariant vectors transform directly. This means that the components of a contravariant vector will change when the coordinate system changes, while the components of a covariant vector will remain the same.

3. How are contravariant and covariant vectors related to tensors?

Contravariant and covariant vectors are the building blocks of tensors. A tensor is a mathematical object that represents a multilinear mapping between different vector spaces. Tensors can be constructed using combinations of contravariant and covariant vectors, and they are used in various fields of physics and engineering to represent physical quantities and their transformations.

4. What are some real-world applications of contravariant and covariant vectors?

Contravariant and covariant vectors have numerous applications in fields such as mechanics, electromagnetics, and fluid mechanics. For example, in mechanics, contravariant and covariant vectors are used to represent forces and displacements, respectively. In electromagnetics, they are used to represent electric and magnetic fields. In fluid mechanics, they are used to represent velocity and stress tensors.

5. How can one calculate the derivatives of contravariant and covariant vectors?

The derivatives of contravariant and covariant vectors can be calculated using the rules of tensor calculus. This involves taking partial derivatives of the components of the vectors with respect to the coordinates and applying certain transformation rules. It is a complex process and requires a thorough understanding of vector calculus and tensor analysis.

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