Finding Inverse the Function of multiple variable functions

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Discussion Overview

The discussion revolves around the challenges of finding inverse functions for mappings involving multiple variables, specifically from ℝ² to ℝ² and other similar mappings. Participants explore the definitions of inverse functions, the conditions under which they exist, and seek specific examples to illustrate these concepts.

Discussion Character

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

Main Points Raised

  • Some participants clarify the definitions of inverse functions, distinguishing between left and right inverses and the conditions necessary for a function to have a true inverse.
  • There is a discussion on the nature of functions from ℝ² to ℝ, with participants noting that such functions cannot be one-to-one and can only have one-sided inverses.
  • Examples of invertible functions on ℝ² are proposed, including rotations, translations, and magnifications, though the latter raises questions about distance preservation.
  • Some participants assert that bijections exist between ℝ² and ℝ, albeit in unintuitive forms, and suggest methods for constructing such mappings.
  • There is a query about whether a function in Euclidean space has an inverse if each of its components is invertible, to which a participant affirms this under certain conditions.

Areas of Agreement / Disagreement

Participants generally agree on the definitions of inverse functions and the limitations of mappings from ℝ² to ℝ. However, there are competing views regarding the existence of bijections between ℝ² and ℝ, and the implications of distance preservation in certain mappings remain contested.

Contextual Notes

Limitations include the complexity of defining invertible functions in higher dimensions and the nuances of one-sided versus two-sided inverses. The discussion does not resolve the intricacies of constructing specific examples of such functions.

BrainHurts
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I understand that given two functions

f:X→Y and g:Y→X, to say that f is the inverse function of g means

g o f:X→X is defined by g(f(x))=idx

and to say g is the inverse function of f means

f o g: Y→Y is defined by f(g(x))=idy

I understand how to find inverses of one variable functions and I'm able to apply this definition. However I'm having difficulty of finding examples of finding inverses of maps such as f:ℝ^2→ℝ^2 or something like f:ℝ^3→ℝ^3. Similarly I'm not sure if we can find inverses of functions with such mappings as f:ℝ^2→ℝ. Specific examples would highly be appreciated. Thanks.
 
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More accurately, you should distinguish between left inverses and right inverses. An onto function will have one, a 1-1 function the other (I forget which is which of left/right). Only a 1-1 onto function will have an inverse that works both ways.
For an invertible function on R2, you can have any rotation, translation, magnification, and lots besides.
A map f from R2 to R cannot be 1-1, so can only have a one-sided inverse, namely, a function from R to R2 that f will then undo.
 
haruspex said:
A map f from R2 to R cannot be 1-1, so can only have a one-sided inverse, namely, a function from R to R2 that f will then undo.

right only bijections will work both ways and right now that's what I'm asking for specific examples of mappings from the plane or in space. but thanks for the clarification, that totally makes sense that a map from R2 to R cannot be 1-1.

haruspex said:
For an invertible function on R2, you can have any rotation, translation, magnification, and lots besides.

what do you mean magnification and lots besides? these do not sound like these functions will preserve distance. i understand rotation and translations because those are direct isometries. either way would you have a specific example of finding the inverse of a function in either the plane or space?
 
haruspex said:
A map f from R2 to R cannot be 1-1, so can only have a one-sided inverse, namely, a function from R to R2 that f will then undo.

Well, actually, there do exist bijections between \mathbb{R}^2 and \mathbb{R}! This is very unintuitive and the map will be very ugly, but it will exist.
 
BrainHurts said:
right only bijections will work both ways and right now that's what I'm asking for specific examples of mappings from the plane or in space. but thanks for the clarification, that totally makes sense that a map from R2 to R cannot be 1-1.

what do you mean magnification and lots besides? these do not sound like these functions will preserve distance. i understand rotation and translations because those are direct isometries. either way would you have a specific example of finding the inverse of a function in either the plane or space?

E.g. map (x, y) to (2x, 2y). Clearly a bijection. No requirement to preserve distance or area, they're only meaningful concepts in a metric space; here we're just treating R2 as a set.
 
micromass said:
Well, actually, there do exist bijections between \mathbb{R}^2 and \mathbb{R}! This is very unintuitive and the map will be very ugly, but it will exist.
Yes, sorry, you're right. They're both aleph 1.
 
micromass said:
Well, actually, there do exist bijections between \mathbb{R}^2 and \mathbb{R}! This is very unintuitive and the map will be very ugly, but it will exist.
Maybe not that ugly. Can map [0,1)x[0,1) to [0,1) bijectively by interlacing digits of the decimal expansions.
 
haruspex said:
E.g. map (x, y) to (2x, 2y). Clearly a bijection. No requirement to preserve distance or area, they're only meaningful concepts in a metric space; here we're just treating R2 as a set.

i guess my question is really dumb in a way, the example you gave me, would it be fair to say that given a function in euclidean space, that function has an inverse if each of its components are invertible?
 
BrainHurts said:
i guess my question is really dumb in a way, the example you gave me, would it be fair to say that given a function in euclidean space, that function has an inverse if each of its components are invertible?

Yes, if f and g are invertible R1 to R1 then h(x, y) = (f(x), g(y)) is invertible.
Wrt invertible between R1 and R2, my simple example based on [0, 1) doesn't help that much. It's much harder to map invertibly between (0, 1)x(0, 1) and (0, 1).
 

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