Why the Gaussian curvature is extrinsic ?

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Discussion Overview

The discussion revolves around the nature of Gaussian curvature and its classification as extrinsic or intrinsic. Participants explore the definitions and implications of mean and Gaussian curvature, particularly in the context of surfaces embedded in different dimensional spaces. The conversation includes theoretical considerations and references to mathematical texts.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants define extrinsic curvature in relation to the radius of curvature of circles touching an object, while intrinsic curvature relates to points in a Riemannian manifold.
  • One participant asserts that the principal curvatures (k1 and k2) are extrinsic, questioning the intrinsic nature of their product, Gaussian curvature.
  • Another participant suggests that the product of principal curvatures better describes intrinsic behavior, noting that positive and negative products indicate parabolic and hyperbolic points, respectively.
  • A participant illustrates that mean curvature is not invariant under bending, using the example of curling a piece of paper to demonstrate changes in mean curvature while Gaussian curvature remains constant.
  • Questions are raised about the nature of principal curvatures and Gaussian curvature in higher-dimensional manifolds, with one participant expressing uncertainty about the applicability of previous observations beyond 3D representations.
  • References to "Geometry and the Imagination" are made, highlighting that Gaussian curvature is invariant to bending and depends on arc length and angles, suggesting its intrinsic nature even in higher dimensions.
  • One participant clarifies that while Gaussian curvature remains intrinsic in higher dimensions, its computation differs from that in 3D surfaces.

Areas of Agreement / Disagreement

Participants express differing views on the intrinsic versus extrinsic classification of Gaussian curvature and the implications of mean curvature. There is no consensus on the nature of curvature in higher dimensions, indicating ongoing debate and exploration of the topic.

Contextual Notes

Some assumptions regarding the definitions of curvature and the context of dimensionality may not be fully articulated, leading to potential limitations in the discussion. The applicability of certain concepts may be restricted to specific dimensions or embeddings.

alecrimi
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Hi all!
Let's start from the begin to see where I get lost.

Extrinsic curvature defines the way an object relates to the radius of curvature of circles that touch the object (a couple of further nicer definitions come from physics, for the moments I am not mentioning them), and intrinsic curvature defines each point in a Riemannian manifold.

A Mean curvature locally describes the curvature of an embedded surface.
1/2 (k_1 + k_2) as extrinsic.

A Gaussian curvature is defined as an intrinsic curvature as k_1 \times k_2, the reason of this is just that Gaussian curvature involves surfaces ? Then why cannot we define the mean curvature as well as intrinsic
Cheers
 
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The curvatures k1 and k2 ARE extrinsic curvatures.

It's not at all obvious that their product is intrinsic. It took the genius of Gauss to figure that out. For a good explanation, you can consult Geometry and the Imagination by Hilbert and Cohn-Vassen. I forget where in the book it is, but it's not hard to find. There's a section on differential geometry.
 
I was wondering that a layman explanation can be related to the fact that the principal curvature and their mean are not describing very well intrinsic behaviour of the surface while a product of them can :

If the product is positive we are in a parabolic point, if the product is negative we are in a hyperbolic point
 
Basically, what you want to show is that the mean curvature is not invariant under bending.

For this, you only need to curl a piece of paper so that it becomes cylindrical. One of the principal curvatures will increase and the other will stay equal to zero, so the mean curvature changes, but the Gaussian curvature stays the same.
 
what about the product of the principal curvatures for hypersurfaces in higher dimensions?
Is it intrinsic? Say a 3 manifold in R^4 or a 10 manifold in R^11.
 
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Damn it! Nice question :biggrin:

You destroyed our observations, at this point I have no idea. Or we assume my and homeomorphic's observation valid only on 3D representations
 
You destroyed our observations, at this point I have no idea. Or we assume my and homeomorphic's observation valid only on 3D representations

Yes, from context, I interpreted the question as being about surfaces embedded in R^3.
 
Ok, ok ok ... I have "Geometry and the Immagination" in front of me.
(I summarized a bit)
Pag. 178: arc length does not make any reference to a particular system of coordinate. For this reason arc length is considered "natural" or intrinsic coordinate of a curve

Pag. 205 The Gaussian curvature is invariant to bending and must depend on the arclength and angle of the curve lying on it. For this reason Gaussian curvature, and its analogue in higher dimension are "intrinsic" on the surface.

Therefore, according to Hilbert-Cohn-Vossen, the definition of invariant to bending should hold in embedding in R^n also with n>3.
 
Therefore, according to Hilbert-Cohn-Vossen, the definition of invariant to bending should hold in embedding in R^n also with n>3.

Invariant to bending is sort of the way to think of it, but more precisely, the idea is that it is invariant under isometry, which is a map that preserves the metric.

But the idea of principal curvatures is a little different in higher dimensions. If you have a 2-d surface embedded in R^n, you can cut it up along many different planes, each of which will intersect the surface in an arc (generically) with some value of curvature. The definition of Gaussian curvature as the product of the principal curvatures will only work for a surface embedded in R^3.

If it's embedded in a bigger R^n, it will still have a Gaussian curvature that is intrinsic, but you can't compute it the same way.

It's a good exercise to think about what will happen.

When they say analogue of Gaussian curvature in higher dimensions, I assume they mean Riemannian curvature, which is a more complicated beast than Gaussian curvature.
 

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