No Open Subset for Invertible Continuously Differentiable Mapping in R^n?

In summary, the conversation discussed finding an example of a continuously differentiable mapping F:R^n --> R^n where there is no open subset U of R^n for which F(U) is open. The theorem provided states that if F is not stable at any point, then F(U) is not open. The suggested solution was to find a function with a non-invertible Jacobian, such as X^2, which takes an open set to an open set in R^n. However, since the problem is asking for an example in R^n, it was suggested to consider closed sets and isolated points. Finally, the conclusion was reached that a degenerative mapping F that maps everything to a k in R^n would take an open set
  • #1
cap.r
67
0

Homework Statement


Give an example of a continuously differentiable mapping F:R^n --> R^n with the property that tehre is no open subset U of R^n for which F(U) is open in R^n


Homework Equations


let U be an open subset of R^n and supposed that the continuously differentiable mapping F:U-->R^n is stable and has an invertible derivative matrix at each point. Then it's image F(u) is also open.


The Attempt at a Solution



So from the theorem I stated it seems like if F is not stable at any point then F(U) is not open. so I just need to give a function whose Jacobian is non-invertible. i can just think of X^2 which isn't one to one. but that's in R^2 and this is asking for an example in R^n...
 
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  • #2
X^2 though not being 1:1, will still take an open set to an open set... and unless I'm understanding wrong, it is from R -> R

if I read you theorem correctly, the problem suggest F does not have an invertible derivative matrix & so is not 1:1

so have a think about closed sets, is an isolated point a closed set?
 
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  • #3
updated
 
  • #4
ok so if I let the mapping F be degenerative and map everything to a k in R^n. then it will take the open set U to a closed set in R^n. so thanks for the help i got it.
 

FAQ: No Open Subset for Invertible Continuously Differentiable Mapping in R^n?

What is the Inverse Function Theorem?

The Inverse Function Theorem is a mathematical theorem that states that if a function is differentiable at a point, then its inverse is also differentiable at that point.

What is the importance of the Inverse Function Theorem?

The Inverse Function Theorem is important because it allows us to find the inverse of a differentiable function, which can be useful in solving equations and understanding the behavior of functions.

What is the formula for the Inverse Function Theorem?

The formula for the Inverse Function Theorem is f'(x) = 1/f'(f(x)). This means that the derivative of the inverse function is equal to the reciprocal of the derivative of the original function evaluated at the inverse function.

Can the Inverse Function Theorem be applied to any function?

No, the Inverse Function Theorem can only be applied to differentiable functions. If a function is not differentiable, the theorem cannot be used to find the inverse function.

What are the applications of the Inverse Function Theorem?

The Inverse Function Theorem has many applications in calculus, physics, and engineering. It can be used to solve equations, find critical points, and analyze the behavior of functions.

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