Can embedding a manifold in a higher dimension space have drawbacks?

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In summary, the conversation discusses the concept of embedding a manifold in a higher dimensional space and how it affects the use of a global coordinate system. It is mentioned that the number of local charts needed to cover a manifold is an intrinsic property and embedding it does not change this. However, embedding a manifold in a higher dimensional space can make it easier to define tangent spaces and other properties. The conversation also touches on the issue of differentiability of maps between manifolds and the drawbacks of using a global coordinate system for this purpose.
  • #1
TrickyDicky
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One usually needs multiple local charts to cover a manifold ( no global coordinate system), the manifold in general is covered by local patches with overlapping areas.
But if we embed a certain manifold in a higher dimension space, like for instance embedding a 2-sphere in a Euclidean space, then from this space I guess we can cover the whole original manifold with a global coordinate system. If this was the case, the benefit seems clear, would there be any drawback?
 
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  • #2
Hi TrickyDicky! :smile:

Let's say we embed the 2-sphere in Euclidean space. What would be the global coordinate system you propose?
 
  • #3
The number of coordinate charts required to cover a manifold has nothing to do with where it is embedded. It is an intrinsic property of the manifold governed by its global topology.

Assume the sphere has a global coordinate chart. Then it is homeomorphic to R^2. But this isn't so, as we know, because for instance, S² is compact and R² is not.
 
  • #4
micromass said:
Hi TrickyDicky! :smile:

Let's say we embed the 2-sphere in Euclidean space. What would be the global coordinate system you propose?

I hope I'm not saying something completely wrong, maybe "global coordinate system" is not a very rigorous notion, but I guess it would be that of the Euclidean space, (x,y,z) in cartesian coordinates or (r,theta,phi) in spherical ones. So that all the points in the surface of a 2-sphere are defined in this Euclidean 3-space coordinates of the ambient space of the sphere.

Given this, I am thinking that a metric of this ambient space can be obtained in cartesian cordinates (x,y,z):

[tex]ds^2=dx^2+dy^2+dz^2[/tex]

What would be the metric for a sphere in this coordinate system, in spherical coord. (r,theta,phi)?
I guess since we are in a flat Euclidean space if we consider the distance to an arbitrary origin of coordinates as r, we can describe a 2-sphere of radius r as the one which curvature radius is r^2:

[tex]ds^2=dr^2+r^2(d\theta^2+sin^2\theta d\phi)[/tex]
I guess in this coordinate system the surface of the sphere would be coordinate-singularity free unlike if we constrain the line element to two coordinates.
 
  • #5
OK, how would you then state that a map [itex]\phi:S^2\rightarrow \mathbb{R}[/itex] is differentiable, using this new coordinate system?
 
  • #6
micromass said:
OK, how would you then state that a map [itex]\phi:S^2\rightarrow \mathbb{R}[/itex] is differentiable, using this new coordinate system?
Hmm..good point, I'm not sure at all of this but I vaguely recall that all topological manifolds up to maybe two or three dimensions is differentiable, so my guess is then in this case you wouldn't need it to be specifically stated?
 
  • #7
TrickyDicky said:
Hmm..good point, I'm not sure at all of this but I vaguely recall that all topological manifolds up to maybe two or three dimensions is differentiable, so my guess is then in this case you wouldn't need it to be specifically stated?

I'm not talking about which manifolds are differentiable or not. I'm talking about which maps are differentiable. Certainly there are continuous maps [itex]\phi:S^2\rightarrow \mathbb{R}[/itex] which are continuous but not differentiable. The same applies for maps [itex]\phi:S^2\rightarrow S^2[/itex] for example.

In general, I'm not asking which manifolds are differentiable, but which maps between manifolds are differentiable!
 
  • #8
micromass said:
I'm not talking about which manifolds are differentiable or not. I'm talking about which maps are differentiable. Certainly there are continuous maps [itex]\phi:S^2\rightarrow \mathbb{R}[/itex] which are continuous but not differentiable. The same applies for maps [itex]\phi:S^2\rightarrow S^2[/itex] for example.

In general, I'm not asking which manifolds are differentiable, but which maps between manifolds are differentiable!

Ok, excuse my confusion, so you are saying there is no way to state that the maps are differentiable.
 
  • #9
TrickyDicky said:
Ok, excuse my confusion, so you are saying there is no way to state that the maps are differentiable.

Indeed, I don't think there is an easy way to define differentiability. But I may be wrong of course.

Your coordinate system does have it's advantages. For example, it's much easier to define tangent spaces and all these things.
 
  • #10
micromass said:
Indeed, I don't think there is an easy way to define differentiability. But I may be wrong of course.

Your coordinate system does have it's advantages. For example, it's much easier to define tangent spaces and all these things.

Aha, so the drawback would be that you wouldn't have a way to assure differentiability of S^2 maps from this embedding so there could be just continuous maps to R, we could state differentiability of the embedding manifold but not of S^2, right?
 
  • #11
TrickyDicky said:
Aha, so the drawback would be that you wouldn't have a way to assure differentiability of S^2 maps from this embedding so there could be just continuous maps to R, we could state differentiability of the embedding manifold but not of S^2, right?

That would be my criticism against such a global coordinate system.
 
  • #12
Thanks, micromass.
 
  • #13
TrickyDicky said:
I hope I'm not saying something completely wrong, maybe "global coordinate system" is not a very rigorous notion, but I guess it would be that of the Euclidean space, (x,y,z) in cartesian coordinates or (r,theta,phi) in spherical ones. So that all the points in the surface of a 2-sphere are defined in this Euclidean 3-space coordinates of the ambient space of the sphere.

Given this, I am thinking that a metric of this ambient space can be obtained in cartesian cordinates (x,y,z):

[tex]ds^2=dx^2+dy^2+dz^2[/tex]

What would be the metric for a sphere in this coordinate system, in spherical coord. (r,theta,phi)?
I guess since we are in a flat Euclidean space if we consider the distance to an arbitrary origin of coordinates as r, we can describe a 2-sphere of radius r as the one which curvature radius is r^2:

[tex]ds^2=dr^2+r^2(d\theta^2+sin^2\theta d\phi)[/tex]
I guess in this coordinate system the surface of the sphere would be coordinate-singularity free unlike if we constrain the line element to two coordinates.

In this example, isn't an equation of constraint needed? In Cartesian coordinates, this constraint equation is
[tex]0 = x^2 + y^2 +z^2 - R^2,[/tex]
while in spherical coordinates, the constraint equation is just
[tex]0 = r - R,[/tex]
where [itex]R[/itex] is constant. Then, the metric induced on the 2-sphere by spherical coordinates is
[tex]ds^2 = R^2 \left( d\theta^2 + sin^2\theta d\phi \right).[/tex]
What happens when [itex]\theta = 0[/itex]?
 
  • #14
George Jones said:
In this example, isn't an equation of constraint needed? In Cartesian coordinates, this constraint equation is
[tex]0 = x^2 + y^2 +z^2 - R^2,[/tex]
while in spherical coordinates, the constraint equation is just
[tex]0 = r - R,[/tex]
where [itex]R[/itex] is constant. Then, the metric induced on the 2-sphere by spherical coordinates is
[tex]ds^2 = R^2 \left( d\theta^2 + sin^2\theta d\phi \right).[/tex]
What happens when [itex]\theta = 0[/itex]?

Yes, that is the usual procedure, to use the sphere equation to express one of the coordinates as a function of the other two + the radius parameter, then you get the line element you wrote with R acting as parameter.
What happens when [itex]\theta = 0[/itex]? Exactly what I was trying to avoid by using the coordinates of the embedding space, you find a limitation intrinsic to using a local chart, a coordinate-singularity at the equator in this example.
However if you found a singularity in the embedding manifold you would know is not a coordinate singularity, it is not very useful in the case of the 2-sphere since we know beforehand that it is singularity free surface. But in the case one didn't know, maybe this was a good strategy to ascertain if the points corresponding to the surface S^2 that look singular in 2-D coordinate system are truly singular or not in the embedding 3-space .
 
  • #15
micromass said:
Indeed, I don't think there is an easy way to define differentiability. But I may be wrong of course.
If M is a submanifold of N, and N has a smooth structure, then M inherits that structure (unless it has singularities).

TrickyDicky said:
But if we embed a certain manifold in a higher dimension space,
...
the benefit seems clear, would there be any drawback?
It becomes difficult to tell the difference between properties of your manifold, properties of your higher dimensional space, and properties of the embedding.

As I recall the history, this drawback was the primary reason that manifolds were invented.
 
  • #16
TrickyDicky said:
What would be the metric for a sphere in this coordinate system, in spherical coord. (r,theta,phi)?
As an aside, (global) spherical coordinates aren't actually coordinates -- they are similar to your idea of embedding the manifold in some other space, but the other way around: covering your manifold with some other space.

Spherical coordinates are a coordinate chart on some "larger" three-dimensional space where each triple [itex](r, \theta, \phi)[/itex] picks out a distinct point, together with a surjection from this space to [itex]\mathbb{R}^3[/itex] that sends [itex](r, \theta, \phi)[/itex] to the appropriate point in Euclidean space.

Restricting to r=R and the corresponding sphere, Spherical coordinates are a mapping [itex]\mathbb{R}^2 \to S^2[/itex].
 
  • #17
Hurkyl said:
If M is a submanifold of N, and N has a smooth structure, then M inherits that structure (unless it has singularities).

That doesn't really help since many subsets of a smooth manifolds won't be smooth manifolds themselfs. Indeed, it is only the submanifolds that inherirt the structure, but the OP doesn't want to define manifolds...
 
  • #18
Even at the level of topological manifolds, isn't
TrickyDicky said:
like for instance embedding a 2-sphere in a Euclidean space, then from this space I guess we can cover the whole original manifold with a global coordinate system.

false because of what quasar987 posted? And couldn't there be other topological impediments to using coordinates for R^n to construct global coordinate systems on manifolds embedded in R^n?
 
  • #19
Hurkyl said:
It becomes difficult to tell the difference between properties of your manifold, properties of your higher dimensional space, and properties of the embedding.

As I recall the history, this drawback was the primary reason that manifolds were invented.
I think this is the key problem to my approach.

Let's go the opposite way, let's say we have a well defined 3-dimensional manifold N, but we are actually interested in a 2-dimensional submanifold M embedded in N, say because we believe this submanifold M models some physical entity.
It would be very hard to discern the properties of M (like curvature, singularities, covariance up to diffeomorphism, etc) from the properties of N, right?
 
  • #20
TrickyDicky said:
I think this is the key problem to my approach.

Let's go the opposite way, let's say we have a well defined 3-dimensional manifold N, but we are actually interested in a 2-dimensional submanifold M embedded in N, say because we believe this submanifold M models some physical entity.
It would be very hard to discern the properties of M (like curvature, singularities, covariance up to diffeomorphism, etc) from the properties of N, right?

the submanifold inherits a geometry from the manifold it is embedded in.
 

Related to Can embedding a manifold in a higher dimension space have drawbacks?

1. What is a manifold embedding?

A manifold embedding is a way of representing a high-dimensional space in a lower-dimensional space while preserving the local structure of the data. It is often used in machine learning and data visualization to reduce the dimensionality of complex data and make it easier to analyze.

2. How is manifold embedding different from other dimensionality reduction techniques?

Unlike other dimensionality reduction techniques, manifold embedding focuses on preserving the local structure of the data rather than just reducing the number of dimensions. This allows for a more accurate representation of the data and can often lead to better results in analysis and machine learning tasks.

3. What are some common methods for manifold embedding?

Some popular methods for manifold embedding include Isomap, Locally Linear Embedding (LLE), and t-SNE. Each method has its own strengths and weaknesses, and the choice of method often depends on the specific data and goals of the analysis.

4. Can manifold embedding be used for any type of data?

Manifold embedding can be used for a variety of data types, including numerical, categorical, and even image data. However, it is important to choose the right method and parameters for each type of data in order to get the most accurate representation.

5. How can manifold embedding be evaluated?

There are several ways to evaluate the effectiveness of a manifold embedding. One common method is to measure the reconstruction error, which compares the original data to the embedded data. Other methods include visual inspection and using the embedded data for downstream tasks such as classification or clustering.

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