Continously differentiable f: R^n -> R^m not 1-1?

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Discussion Overview

The discussion revolves around the question of whether a continuously differentiable function \( f: \mathbb{R}^n \to \mathbb{R}^m \) can be one-to-one when \( n > m \). Participants explore various mathematical concepts and theorems related to this question, including Sard's theorem, the inverse function theorem, and the invariance of domain, while attempting to understand the implications of these theorems on the injectivity of such functions.

Discussion Character

  • Debate/contested
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • Some participants suggest examining critical values and using Sard's theorem to understand the image of the function.
  • Others propose that when \( n > m \), the Jacobian must have a non-trivial kernel, leading to the conclusion that the function cannot be one-to-one.
  • One participant mentions that in the case of \( n=2 \) and \( m=1 \), the image has measure zero in \( \mathbb{R}^1 \), which could be generalized for other dimensions where \( n > m \).
  • Another participant argues that the image can be all of \( \mathbb{R}^m \) and that invariance of domain can be used to show that a continuous injection leads to a contradiction.
  • Some participants discuss the implications of the constant rank theorem and the conditions under which a function can be locally a projection.
  • There is a mention of confusion regarding the application of Sard's theorem and its relevance to the discussion.

Areas of Agreement / Disagreement

Participants express differing views on the applicability of various theorems, such as Sard's theorem and the inverse function theorem, to the problem at hand. There is no consensus on a definitive approach or conclusion regarding the injectivity of continuously differentiable functions in the context of \( n > m \).

Contextual Notes

Participants note the complexity of the problem, highlighting the need for careful consideration of the assumptions and definitions involved in the theorems discussed. The discussion reflects a range of interpretations and applications of mathematical concepts without resolving the underlying question.

ryou00730
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Continously differentiable f: R^n --> R^m not 1-1?

My course is over with now, but I never could figure out this question. It's pretty much been haunting me ever since, and the internet has not given me a proof that convinces me. My problem is determining why:
A continuously di fferentiable function F: Rn → Rm is not 1-1 when n>m. I can understand why it would be true, I just can't seem to convincingly prove it. Anyone who is familiar with the subject, I would appreciate any feedback.
 
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Look at the critical values of the map and use Sard's theorem to see what the image is like.

Re a continuous bijection alone, look at the issue of invariance of domain.
 


ryou00730 said:
A continuously di fferentiable function F: Rn → Rm is not 1-1 when n>m. I can understand why it would be true, I just can't seem to convincingly prove it. .

Here are some ideas:

- Take the case of a map from the plane into the real line. At each point of the plane the Jacobian of the map,F, must have a non-trivial kernel. This is because the Jacobian is a linear map from R2 to R1,

F must be constant on any curve whose tangent lies if the kernel of the Jacoboan. If the Jacobian of F is not identically zero at a point - then it is not identically zero in a neighborhood of that point because it is continuous. Also,there is a well defined continuous field of directions(why?) in that neighborhood where the Jacobian of F is zero. Integrate this vector field of zero directions to get curves along which F is constant at every point in the neighborhood.
 


In the case of n=2, m=1, the image has measure zero in R^1, and, by continuity+connectedness of R^n+Sard's, the image f(R^n) is a connected subset of R^1 of measure-zero, which is... Then generalize for other n>m.

For invariance of domain, use the fact that the inclusion map from R^m to R^n is a continuous injection, then compose.
 


Bacle, I think you're confused. We're discussing the case where n>m, not n<m. Sard's theorem doesn't tell us anything useful about the image. Indeed, the image can even be all of R^m (consider the natural projection from R^2 to R^1).

We can use invariance of domain to prove the theorem. Indeed, suppose f:\mathbb{R}^n \rightarrow \mathbb{R}^m is a continuous injection. Look at the restriction of f to some precompact open set U. Since \overline{U} is compact and \mathbb{R}^m is Hausdorff, f|_{\overline{U}} is a homeomorphism onto its image, and thus so is f|_{U}. This contradicts invariance of domain.
 


Ouch, yes. Next time I'll try to read the actual question. I intended the opposite direction.
 


I realized I used the wrong theorem for this direction; it is Sard's in one direction and the inverse-value theorem+ Invariance of domain, in the opposite direction.

So, your function can clearly not be constant, so that df_x is not identically zero, so that there exists a local homeomorphism between an open set W in R^n, with an open set f(W) in R^m.
 


Inverse function theorem does it.
 


i may be confused too but isn't bacle correct? i.e. if there exists a regular value, as guaranteed by sard, the locally the function is a projection by the implicit function theorem, hence not one to one.
 
  • #10


mathwonk said:
i may be confused too but isn't bacle correct? i.e. if there exists a regular value, as guaranteed by sard, the locally the function is a projection by the implicit function theorem, hence not one to one.

I don't think so. Sard's theorem guarantees the existence of a regular value, but not necessarily one in the image of the function.
 
  • #11


This topic may be getting old, but I just realized that there is a way of doing this that is close to your suggestion mathwonk. According to the constant rank theorem, the function will be locally a projection at any point where the rank of the derivative is constant in some neighborhood of the point. While there might not be a point where the derivative is surjective, there will be a point where the rank of the derivative attains a maximum, and at that point the rank will be constant in a neighborhood of the point, so your idea goes through.
 

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