Proving One-to-One Functions Using Inverse and Implicit Function Theorems

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In summary, the inverse function theorem states that any function from R^2 to R cannot be one-to-one. To prove this, we use the implicit function theorem. Generalizing this, we show that no function from R^n to R^m can be one-to-one, with n>m.
  • #1
jessawells
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1. use the inverse function theorem to prove that any function [tex] f: R^2 -> R [/tex] cannot be one-to-one. hint: let
g(x,y) = (f(x,y), y) near an appropriate point.

2. prove #1 using the implicit function theorem.

3. generalize part 2) to show that no function
[tex] f:R^n -> R^m, [/tex] with n>m can be one-to-one.


i am not sure where to start on this problem. for #1, i don't know how to apply the hint that's given. what is this "appropriate point" it's referring to? i guess i started by trying to take the determinant of f'(x,y). but f'(x,y) is a 2x1 matrix...how do i take determinant of that? not sure where this is leading me.


not sure what to do for #2 or #3 either. my understanding of the implicit function theorem is very fuzzy. like, i understand how to use it to differentiate one variable with respect to another, but i don't know how to use it to prove the function is not one to one. any help is appreciated - thanks in advance.
 
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  • #2
I guess you mean something like "any continuous function..."?
 
  • #3
yes, f is continuous
 
  • #4
start by writing out the statement of the inverse function theorem. and remember if differentiable a function fro R to R is not 1-1 then there exist poitns x and y with g(x)=g(y), so what can we say about the derivative somewhere in the middle?
 
  • #5
jessawells said:
1. use the inverse function theorem to prove that any function [tex] f: R^2 -> R [/tex] cannot be one-to-one. hint: let
g(x,y) = (f(x,y), y) near an appropriate point.

2. prove #1 using the implicit function theorem.

3. generalize part 2) to show that no function
[tex] f:R^n -> R^m, [/tex] with n>m can be one-to-one.

You know what, I can't let this one slip into oblivion down there without making a final comment:

I've been working with this one and have come to the conclusion that it represents a fundamental feature of euclidean geometry, and hense of our world and therefore places boundaries on the types of transformations we can observe in nature.

I am thus immediately led, perhaps foolishly, to the suspicion that other geometries such as non-euclidean ones may not share this feature, that is, a one-to-one mapping under equivalent conditions would be possible.

I'll keep working with it. :smile:
 
  • #6
this is nothing to do with geometry and is entriely down to topology. with the diiscrete topology R^2 and R are homeomorphic.

(what other geometries on R^2 are you thinkig of anyway?
 
  • #7
I suppose I find it interesting that no matter how I attempt to bend or twist or deform a surface above the x-y plane, I will not be able to make it 1-to-1 such that if (x,y)[itex]\ne[/itex] (r,s) then f(x,y)[itex]\ne[/itex]f(r,s). Is it just the nature of eclidean geometry in 3-D space that prevents such? Can a geometry be constructed that allows 1-to-1 when n>m?

I realize one implication of the Implicit Funtion Theorem is that in this case, the number of independent variables, (n), is more than the number of equations, (m). Thus an infinite number of solutions is obtained and only when n=m can we obtain uniqueness and thus a unique inverse (at least that's how I'm interpreting it).

Still, I just can't help imagining something intrinsic about the geometry of space somehow constraining this. Interesting . . .
 
  • #8
it's the metric, it's the topology that make this true. agreed the metric is that inherited from the euclidean norm, but it needn't be since any two normed topologies are equivalent on a finite dimensional vector space. wwith a differenttoplogy there is a continuous 1-1 map from R^2 to R eg any bijection in the discrete topology.
 

1. What is the difference between a one-to-one function and a many-to-one function?

A one-to-one function is a type of function where each input has a unique output. In other words, no two inputs can have the same output. On the other hand, a many-to-one function is a type of function where multiple inputs can have the same output.

2. How do the inverse and implicit function theorems help in proving one-to-one functions?

The inverse function theorem states that if a function is differentiable and its derivative is never equal to zero, then the function has an inverse function. This theorem can be used to prove that a one-to-one function has an inverse function. The implicit function theorem, on the other hand, helps in proving one-to-one functions by providing conditions under which a function can be expressed implicitly in terms of its variables.

3. Can the inverse and implicit function theorems be used interchangeably?

No, the inverse and implicit function theorems are two separate theorems that serve different purposes. The inverse function theorem deals with finding the inverse of a function, while the implicit function theorem helps in expressing a function implicitly. However, both theorems can be used in conjunction to prove one-to-one functions.

4. Are there any limitations to using the inverse and implicit function theorems to prove one-to-one functions?

One limitation is that the inverse function theorem can only be applied to functions that are differentiable and have a non-zero derivative. Additionally, the implicit function theorem can only be used for functions that can be expressed implicitly in terms of its variables. If these conditions are not met, then these theorems cannot be used to prove one-to-one functions.

5. Can one-to-one functions be proven without using the inverse and implicit function theorems?

Yes, one-to-one functions can be proven using other methods such as the horizontal line test or by showing that the function is strictly increasing or decreasing. However, the inverse and implicit function theorems provide a more formal and rigorous approach to proving one-to-one functions.

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