Covariant and Contravariant: What Are the Differences in Differential Geometry?

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Discussion Overview

The discussion centers on the differences between covariant and contravariant vector fields in the context of differential geometry. Participants explore definitions, examples, and implications of these concepts, as well as their relationships to manifolds and tensors.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • Some participants suggest that contravariant vector fields are akin to the normal vector fields introduced in multivariable calculus, while the nature of covariant fields remains unclear.
  • One participant proposes that in the expression f(x), one can vary either x or f, with one varying covariantly and the other contravariantly.
  • Another participant discusses the relationship between ordinary vectors and covectors, indicating that a dot product introduces a distinction between them.
  • There is a suggestion that contravariant vectors can be thought of as column vectors and covariant vectors as row vectors, although this analogy has limitations.
  • One participant elaborates on the properties of covariant objects on manifolds, stating that they remain consistent under transformations and provide examples involving tensors and curvature.
  • A participant expresses uncertainty about the definition of manifolds and raises questions about specific cases, such as objects with kinks or multiple disconnected components.

Areas of Agreement / Disagreement

Participants express various interpretations and analogies regarding covariant and contravariant vectors, with no consensus reached on definitions or applications. The discussion remains unresolved, particularly regarding the understanding of manifolds and their properties.

Contextual Notes

Some participants note the potential for misunderstanding due to varying levels of familiarity with differential geometry concepts, particularly regarding manifolds and tensor properties.

  • #61
ObsessiveMathsFreak said:
Let me see if I understand. You are saying that a coordinate system, say in 3d, defines not only

basis tangent vectors \mathbf{e}_1 ,\mathbf{e}_2,\mathbf{e}_3, but basis cotangent vectors or one-forms

\acute{E}_1,\acute{E}_2,\acute{E}_3,... .

Actually, the right way to think is the following:
the vector is an invariant object which does not depend on any coordinate system at all!
This point of view was formulated above
"COORDINATES ArE NOT a natural property of vectors"

Vectors (and tensors) exist without any coordinate system. The coordinate systems are only needed to describe them in a proper manner.

The final physical results do not depend on the choise of coords.
If space has a metric, which, by the way, also does not depend on the coordinate systems, there is no difference between covarient and
contravarient (or tangent and cotangent) vectors-tensors.
It is the same vector(tensor).
In fact, you confirm this using the same notation /omega for covariant and contravariant vectors. Right?
 
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  • #62
OK, I think I've got the representation of a vector part now.

If you consider a vector w as a tangent to some curve s(u,v) in, let's say a 2d plane, parameterised by coordinates u and v, then
\mathbf{w} = \frac{d \mathbf{s}}{dt} = \frac{\partial \mathbf{s}}{\partial u} \frac{du}{dt} + \frac{\partial \mathbf{s}}{\partial v} \frac{dv}{dt}

But \frac{du}{dt} and \frac{dv}{dt} can themselves be represented by (excuse the lapse into cartesians for a moment)

\frac{du}{dt} = \frac{\partial u}{\partial x} \frac{dx}{dt} + \frac{\partial u}{\partial y} \frac{dy}{dt} = \nabla u \cdot (\frac{dx}{dt},\frac{dy}{dt})

\frac{dv}{dt} = \frac{\partial v}{\partial x} \frac{dx}{dt} + \frac{\partial v}{\partial y} \frac{dy}{dt} = \nabla v \cdot (\frac{dx}{dt},\frac{dy}{dt})

But since (\frac{dx}{dt},\frac{dy}{dt})=\frac{d \mathbf{s}}{dt}=\mathbf{w}, what we can actually say is that

\frac{du}{dt}=\nabla u \cdot \mathbf{w}
\frac{dv}{dt}=\nabla v \cdot \mathbf{w}

But, if we want to avoid using the dot product and cartesian gradients, instead of using \nabla u \ \ \nabla v, we can define the one forms d\acute{u}\ \ \ d\acute{v} so that \nabla u \cdot \mathbf{w} = d\acute{u}(\mathbf{w}), etc.

These one forms have representations like d\acute{u} = \frac{\partial u}{\partial x} d\acute{x} + \frac{\partial u}{\partial y} d\acute{y}, in the caresian coordinate system, but of course, like vectors, one-forms have no preferred coordinate system! We can just visualise them as a field of gradient lines! So we just refer to the objects d\acute{u}\ \ \ d\acute{v}, which operate on vectors to give a number and so the representation of the vector becomes.

\mathbf{w}= d\acute{u}(\mathbf{w})\frac{\partial \mathbf{s}}{\partial u} + d\acute{v}(\mathbf{w})\frac{\partial \mathbf{s}}{\partial v}

And letting the partial derivatives of s be our basis vectors we would have.

\mathbf{w}= d\acute{u}(\mathbf{w})\mathbf{e}_u + d\acute{v}(\mathbf{w})\mathbf{e}_v

So, this concept of the coordinates being one forms seems clear to me now.

However I'm still not solid on what all this talk of covariant and contravariant vectors is. Is this a misnomer? Should we really be speaking of contravariant vectors and covariant one-forms?
 
Last edited:
  • #63
ObsessiveMathsFreak said:
However I'm still not solid on what all this talk of covariant and contravariant vectors is. Is this a misnomer? Should we really be speaking of contravariant vectors and covariant one-forms?

No, it is not misnomer. Covariant and contravariant are different if you don't have a metric in your space. Go through another thread in this forum:

https://www.physicsforums.com/showthread.php?p=413246#post413246

and may be it helps.
 

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