So, the question is: Is the concept of a function contravariant?

In summary, differential forms transform contravariantly and the 0-form (function) f is also contravariant. This is because f belongs to V*, which can be expanded in a linear combination and the coefficients form a vector that transforms contravariantly. The debate in the linked thread is about the covariant and contravariant nature of df and d/dl, with the consensus being that f is contravariant while a curve is covariant. The unifying notion of covariant and contravariant comes from category theory, where functors associated with manifolds are either covariant or contravariant depending on the direction of the associated homomorphism.
  • #1
Troponin
267
2
My understanding of differential forms is that, given the map
[tex] \phi : V \to V^{*} [/tex]
If [tex] f \in V^{*} [/tex] is a 0-form (a real-valued function on [tex] V^{*} [/tex]), then [tex] \phi [/tex] defines the function [tex] \phi^{*} f [/tex] on [tex] V [/tex]
where [tex] \phi^{*}: F^{0}(V^{*}) \to F^{0}(V) [/tex]
as the function such that [tex] \phi^{*}f(p)=f(\phi(p)) [/tex].

So, since differential forms transform contravariantly, the 0-form (function) f transforms contravariantly (and therefore is contravariant...).

Because [tex] f [/tex] doesn't have any indices, I decided to look online and see if that fact makes a difference in requiring the label "contravariant."
One of the first links was to a thread on physicsforums
https://www.physicsforums.com/showthread.php?t=311174

The debate is between "dx" and "MarkParis." It doesn't seem to reach an agreement in that thread, so I was wondering if anyone else could shed some light on it.

*IMO, the posts by "dx" are correct and meet my understanding of the topic. However, I'm still learning differential forms and there is certainly going to be nuances of the subject that I haven't understood yet...so I figured I'd see if anyone here has any input on this and/or the posts made in the linked thread.
 
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  • #2
The function f belongs to V*, so it can be expanded in a linear combination of a basis of V*. The coefficients of this expansion form a vector, that transforms contravariantly.
 
  • #3
I think MarkParis's point is that strictly speaking it is df belongs to V*, not f itself.

Similarly it is d/dl that belong to V, not the curve itself.

And Hurkyl and dx's points are that df comes from f, just as d/dl comes from the curve, so in that sense f is "contravariant" while a curve is "covariant" (or is it the other way round, I never remember which is which).
 
  • #4
The unifying notion of covariant and contravaraint comes from category theory.

There are lots of things we might be inclined to associate to any particular manifold -- things like its tangent bundle, the cotangent bundle, the set of curves defined on the manifold, its homology groups, et cetera.

Each of the things I mentioned above is a "functor", which here boils down to saying that if you have a differentiable function between manifolds, then you get a homomorphism between the kinds of things we are associating to the manifold.

The functor is covariant if the associated homomorphism goes in the same direction as the differentiable function, and contravariant otherwise. e.g. "Cotangent bundle" is contravariant, because for any differentiable function f:M-->N, the map f*:T*N-->T*M goes in the same direction.

Similarly "the set of curves" is covariant, because given f:M-->N, the associated function on the set of curves (i.e. "composition with f") turns a curve on M into a curve on N.


In this sense, "the sheaf of scalar fields" is contravariant, as is the "set of differentiable functions to R".
 

Related to So, the question is: Is the concept of a function contravariant?

1. What is a contravariant function?

A contravariant function is a type of function in mathematics that preserves the opposite direction of operations. In other words, the output of the function decreases as the input increases, and vice versa.

2. How is a contravariant function different from a covariant function?

A covariant function preserves the same direction of operations, meaning that the output increases as the input increases. Contravariant functions, on the other hand, preserve the opposite direction.

3. What are some examples of contravariant functions?

Some examples of contravariant functions include division, subtraction, and logarithmic functions. In each of these cases, as the input increases, the output decreases.

4. What are the practical applications of contravariant functions?

Contravariant functions are commonly used in fields such as economics, physics, and computer science. They can be used to model relationships where one variable affects another in the opposite direction, such as the relationship between price and demand.

5. How is contravariance related to covariance?

Contravariance and covariance are two sides of the same coin. While contravariance preserves the opposite direction of operations, covariance preserves the same direction. Both concepts are important in mathematics and have various applications in different fields.

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