Differentiability of a function on a manifold

In summary, Nakahara's book states that "The differentiability of a function f:M\rightarrow N is independent of the coordinate chart that we use". He shows this is true in M and then leaves it as an exercise to show that it is also true in N.
  • #1
"Don't panic!"
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I am currently working through Nakahara's book, "Geometry, Topology and Physics", and have reached the stage at looking at calculus on manifolds. In the book he states that "The differentiability of a function [itex]f:M\rightarrow N[/itex] is independent of the coordinate chart that we use". He shows this is true in [itex]M[/itex] and then leaves it as an exercise to show that it is also true in [itex]N[/itex]. Here is my attempt, please could someone tell me if what I've done is correct, and if not, what the correct way is?

Let [itex]f:M\rightarrow N[/itex] be a map from an [itex]m[/itex]-dimensional manifold to an [itex]n[/itex]-dimensional manifold [itex]N[/itex]. A point [itex]p\in M[/itex] is mapped to a point [itex]f(p)\in N[/itex], namely [itex]f:p\mapsto f(p)[/itex]. Take a chart [itex](U,\phi)[/itex] on [itex]M[/itex] and [itex](V,\psi)[/itex] on [itex]N[/itex], where [itex]p\in U[/itex] and [itex]f(p)\in V[/itex]. Then [itex]f[/itex] has the following coordinate presentation: [tex]\psi\circ f\circ\phi^{-1}:\mathbb{R}^{m}\rightarrow\mathbb{R}^{n}[/tex]
If we write [itex]\phi (p)=\lbrace x^{\mu}\rbrace =x[/itex] and [itex]\psi(f(p))=\lbrace y^{\alpha}\rbrace = y[/itex], then [itex]y=\psi\circ f\circ \phi^{-1} (x)[/itex] is a vector-valued function of [itex]m[/itex] variables.The differentiability of [itex]f[/itex] is independent of the coordinate chart in [itex]N[/itex]. Indeed, let [itex](V_{1},\psi_{1})[/itex] and [itex](V_{2},\psi_{2})[/itex] be two overlapping charts in [itex]N[/itex]. Take a point [itex]q=f(p)\in V_{1}\cap V_{2}[/itex], whose coordinates by [itex]\psi_{1}[/itex] are [itex]\lbrace y_{1}^{\mu}\rbrace[/itex], while those [itex]\psi_{2}[/itex] are [itex]\lbrace y_{2}^{\nu}\rbrace[/itex]. When expressed in terms of [itex]\lbrace y_{1}^{\mu}\rbrace[/itex], [itex]f[/itex] takes the form [tex]y_{1} =\psi_{1}\circ f\circ\phi^{-1}[/tex] while in [itex]\lbrace y_{2}^{\nu}\rbrace[/itex], it takes the form [tex]y_{2} =\psi_{2}\circ f\circ\phi^{-1} =\psi_{2}\circ\left(\psi^{-1}_{1}\circ\psi_{1}\right)\circ f\circ\phi^{-1}= \left(\psi_{2}\circ\psi^{-1}_{1}\right)\circ\psi_{1}\circ f\circ\phi^{-1}[/tex] Now, by definition, [itex]\psi_{2}\circ\psi^{-1}_{1}[/itex] is [itex]C^{\infty}[/itex], and therefore if [itex]\psi_{1}\circ f\circ\phi^{-1}[/itex] is [itex]C^{\infty}[/itex] with respect to [itex]y_{1}^{\mu}[/itex] and [itex]\psi_{2}\circ\psi^{-1}_{1}[/itex] is [itex]C^{\infty}[/itex] with respect to [itex]y_{2}^{\nu}[/itex], then [itex]\psi_{2}\circ f\circ\phi^{-1}=\left(\psi_{2}\circ\psi^{-1}_{1}\right)\circ\psi_{1}\circ f\circ\phi^{-1}[/itex] is also [itex]C^{\infty}[/itex] with respect to [itex]y_{2}^{\nu}[/itex].

Would this be correct?
 
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  • #2
Yes, that looks correct, but remember that not all manifolds are ## C^{\infty} ##
 
  • #3
There are some inaccuracies, but you seem to have the right idea. Your post should be talking about an f that's "differentiable at p", and not necessarily "differentiable" (i.e. differentiable at p for all p).

If x and y are coordinate systems with p in their domains, then ##f\circ x^{-1}## is typically not equal to ##f\circ y^{-1}\circ y\circ x^{-1}##, because ##y^{-1}\circ y## is the identity map on the domain of ##y##, which typically doesn't include the entire domain of ##x##. So ##f\circ y^{-1}\circ y\circ x^{-1}## is a restriction of ##f\circ x^{-1}## to a smaller domain. This is irrelevant when we consider the partial derivatives of these functions, but it's a bit of a pain to prove that. (I don't think someone who's learning differential geometry should spend too much time on these subtleties, because they don't contribute much to your understanding).
 
  • #4
Ah, ok. Thanks for your help Fredrik, there's so much to take in, but I think it's slowly starting to become clearer!
 
  • #5


Yes, your explanation is correct. By using the coordinate charts, you have shown that the function f is differentiable in both charts, and the differentiability is independent of the choice of chart. This is because the composition of two differentiable functions is also differentiable. Therefore, the differentiability of f on the manifold is well-defined and independent of the coordinate chart used.
 

1. What is a manifold?

A manifold is a topological space that locally resembles Euclidean space. In other words, it is a space that can be described by coordinates and has a smooth structure that allows for differentiation and integration.

2. What does it mean for a function to be differentiable on a manifold?

When a function is differentiable on a manifold, it means that it is smooth and has a well-defined derivative at every point on the manifold. This allows for the calculation of tangent spaces and gradients, which are important for understanding the behavior of the function on the manifold.

3. How is differentiability of a function on a manifold different from differentiability on a Euclidean space?

In a Euclidean space, differentiability is defined in terms of limits, whereas on a manifold it is defined in terms of tangent spaces and charts. Additionally, on a manifold, the concept of differentiability is more general and can be extended to functions that are not defined on a Euclidean space.

4. What is the role of tangent spaces in the differentiability of a function on a manifold?

Tangent spaces play a crucial role in the concept of differentiability on a manifold. They allow for the calculation of the derivative of a function at a point, which is essential for understanding the behavior of the function on the manifold. Tangent spaces also help in defining the notion of a smooth curve on the manifold, which is used to determine the differentiability of a function.

5. Can a function be differentiable on a manifold but not continuous?

No, a function must be continuous in order to be differentiable on a manifold. This is because differentiability requires the function to be smooth and well-behaved at every point on the manifold, which is a property of continuous functions. If a function is not continuous, it cannot be differentiable.

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