A covariant vs contravariant vector?

In summary, the conversation discusses the concept of covariant and contravariant vectors in the context of vector spaces and linear transformations. The mathematical definitions of these terms are explained, as well as their physical counterparts. The use of upper and lower indices in defining vectors and their corresponding dual vectors is also mentioned. The conversation concludes with the idea that in some cases, understanding these concepts in strict mathematical language can provide deeper insights into the structures and connections within physics.
  • #1
etotheipi
We have a basis {##\mathbf{e}_1##, ##\mathbf{e}_2##, ##\dots##} and the corresponding dual basis {##\mathbf{e}^1##, ##\mathbf{e}^2##, ##\dots##}. I learned that a vector ##\vec{V}## can be expressed in either basis, and the components in each basis are called the contravariant and covariant components respectively. So if $$\vec{V} = v^i \mathbf{e}_i = v_j \mathbf{e}^j$$ then the contravariant components are ##(v^1, v^2, \dots)## and the covariant components are ##(v_1, v_2, \dots)##, and you have to transform these differently if you want to express ##\vec{V}## in terms of another basis.

But I wondered why I often see the terms "covariant vector" and "contravariant vector"? I thought any vector ##\vec{V}## has covariant and contravariant components. As an example, Wikipedia says that velocity is a contravariant vector, but can't velocity have covariant components?

So I hoped someone could explain the distinction here; sorry if this is confused! Thanks!
 
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  • #2
I guess you better ask this in a physics forum. Physicists made use of these adjectives independent from their mathematical usage, and as far as I could understand, also switched them.

The mathematical meaning is:
If we have a class of objects and functions between them (=category), e.g. vector spaces and linear transformations, and we apply a machinery (=functor) which transforms them into a different class of objects (= different category), e.g. their sets and any function between sets, then two things can happen:
$$
[f: V \longrightarrow W ]\stackrel{\mathcal{F}}{\longrightarrow} [\mathcal{F}: \mathcal{F}(V)=\{V\} \longrightarrow \mathcal{F}(W)=\{W\} ]
$$
Our machinery here is the forgetful functor ##\mathcal{F}##: it simply forgets the linear structures and turns everything in a mapping of only sets. In this case the direction of the mappings ##f## and ##\mathcal{F}(f)## are the same, from ##V## to ##W##. Those functors are called covariant, as they preserve the direction.

If the direction is swapped by a funktor ##\mathcal{L}##, from ##\mathcal{L}(W)## to ##\mathcal{L}(V)## then it is called contravariant. An example are the linear functionals of a vector space. This means ##\mathcal{L} ## turns a vector space ##V## into the vector space ##\mathcal{L}(V)=V^*## of all linear functions ##V \longrightarrow \mathbb{R}##. Now what happens to ##f: V \longrightarrow W##?
Here we define ##\mathcal{L}(f): W^* \longrightarrow V^*## by ##(\mathcal{L}(f)(\omega))(v)=\omega(f(v))##, where ##v\in V## and ##\omega \in W^* = \{W \stackrel{linear}{\longrightarrow} \mathbb{R}\}.## In this case ##\mathcal{L}(f)## changed the mapping direction.

This is the mathematical meaning. The physical is a different one.
 
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  • #3
I'm still pretty new to the theory of vector spaces so I don't understand some of the terminology, but I think I can gauge the general idea.

I had no idea the Physics definition was different to the Maths one! That should help with further research. Thanks!
 
  • #4
etotheipi said:
I'm still pretty new to the theory of vector spaces so I don't understand some of the terminology, but I think I can gauge the general idea.

I had no idea the Physics definition was different to the Maths one! That should help with further research. Thanks!

It tends to be the way things are defined. If we start with the four-position, ##x^{\mu}##, that is by definition a contravariant vector. In the sense that it is defined using the upper indices (i.e. the contravariant form). And it has the corresponding dual or co-vector ##x_{\mu}##.

The four-velocity is then defined as ##u^{\mu} = \frac{dx^{\mu}}{d\tau}## and likewise is a contravariant vector.

The gradient on the other hand, which is defined as ##\partial_{\mu} = \frac{\partial}{\partial x^{\mu}}## is a covariant vector.

I think this is more conventional than, say, defining the four-velocity as neither one nor the other and then talking about its covariant and contravariant forms. In any case, it should amount to the same thing.
 
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  • #5
PeroK said:
It tends to be the way things are defined. If we start with the four-position, ##x^{\mu}##, that is by definition a contravariant vector. In the sense that it is defined using the upper indices (i.e. the contravariant form). And it has the corresponding dual or co-vector ##x_{\mu}##.

Yes this was the context. The author was saying that the components of one 4-vector transformed contravariantly, whilst the components of another 4-vector of gradients of a scalar field transformed covariantly, to justify the different placement of the ##\mu##'s.

PeroK said:
I think this is more conventional than, say, defining the four-velocity as neither one nor the other and then talking about its covariant and contravariant forms. In any case, it should amount to the same thing.

I see; that makes things clearer. Thanks!
 
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  • #6
fresh_42 said:
This is the mathematical meaning. The physical is a different one.
Not in all cases.In the language of mathematical physics one argue in strict mathematical language.Some theoretical physics profs prefer this language to describe physics.For example the canonical quantization for Boson particles without gauge potentials uses this formalism.I have actually one Prof who uses this stuff to explain quantum field theory.In some cases it can be painful to understand but in some cases you see structures and connections on a very deep level.For example the connection between ket vector to the bra dual vector has its mathematical roots in Frechet Riesz isomorphism and is the key to define the hermitian conjugation .
 

1. What is the difference between a covariant and contravariant vector?

A covariant vector is a type of vector that transforms in the same way as the coordinates of a space, while a contravariant vector transforms in the opposite way to the coordinates. This means that when the coordinates of a space are transformed, the components of a covariant vector also change in the same way, while the components of a contravariant vector change in the opposite way.

2. How are covariant and contravariant vectors related to each other?

Covariant and contravariant vectors are related to each other through the metric tensor. The metric tensor is a mathematical object that describes the relationship between the coordinates of a space and the components of a vector. It allows for the transformation between covariant and contravariant vectors.

3. What are some examples of covariant and contravariant vectors?

Some examples of covariant vectors include displacement, velocity, and acceleration. These vectors transform in the same way as the coordinates of a space. Examples of contravariant vectors include force, momentum, and electric field. These vectors transform in the opposite way to the coordinates of a space.

4. Why is it important to distinguish between covariant and contravariant vectors?

It is important to distinguish between covariant and contravariant vectors because they have different physical meanings and transform differently under coordinate transformations. This allows for a more accurate and consistent description of physical phenomena in different coordinate systems.

5. How are covariant and contravariant vectors used in physics?

Covariant and contravariant vectors are used extensively in physics, particularly in the fields of relativity and electromagnetism. They are used to describe physical quantities such as displacement, velocity, force, and electric field. They also play a crucial role in the formulation of physical laws and equations in different coordinate systems.

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