What is the Continuity of the Function p in C[0,1]?

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Homework Help Overview

The discussion revolves around the continuity of the function p defined on the space of continuous functions C[0,1], where p(f) = f(x^2). Participants are tasked with proving that this function is continuous.

Discussion Character

  • Exploratory, Assumption checking, Mathematical reasoning

Approaches and Questions Raised

  • Participants explore the implications of the function definition, considering the relationship between the distances of functions in C[0,1] and their transformations under p. There is discussion about using the Lipschitz condition and uniform continuity, with some questioning the correctness of their assumptions regarding the transformation of function values.

Discussion Status

The conversation is ongoing, with participants attempting to clarify their understanding of the function's behavior under transformation. Some guidance has been offered regarding the nature of the distance between functions, but there is no explicit consensus on the correct approach or interpretation yet.

Contextual Notes

Participants are grappling with the definitions and properties of continuity in the context of function transformations, particularly regarding the implications of evaluating functions at squared inputs versus squaring function outputs.

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Homework Statement


Let p:C[0,1]->C[0,1] the function that doing this "match":
For each f in C[0,1] , p(f)=f(x^2)

We need to prove that p is a continuous function.


Homework Equations


C[0,1] is the metric space of all the functions that are continuos in [0,1].
The distance between two functions g,f in C[0,1] is:
max{|f(t)-g(t)|} where t is in [0,1] ...

The Attempt at a Solution


I'm pretty sure we need to use the fact that if x is in [0,1] then x^2 is also in [0,1] ...
Maybe we should try using uniform continuity or Lifchitz Condition...

TNX to all the helpers!
 
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I really think Lifchitz condition is the way...My intuition tells me that the maximum distance between f(x^2) and g(x^2) must be less the g(x) and f(x) but I really don't know how to write it a formal way...
Hope someone will be able to help me

TNX
 
The Lipschitz condition is a red herring.

As you say, given [tex]f, g \in C[0,1][/tex], the distance between them is [tex]\|g - f\|_{C[0,1]} = \sup \{ |g(t) - f(t)| : t \in [0,1] \}[/tex]. This is the supremum of a set.

What is the distance between [tex]p(g)[/tex] and [tex]p(f)[/tex]? It is also the supremum of a set. What is the relation between these two sets?
 
That one set contains all the squares of the other one?
This is excatly what is missing in the way to soloution...

:(

TNX
 
No, that's not right.

Write it out and look at it carefully. What is squared is not what you think is squared.
 
Their values are squared! It's the definition of f(x^2) no?
Can you help me out here? I'm kind of hopeless...
TNX
 
Well there is my try: Let f , g be: f(x)=x , g(x)=2x and let's check their values for 0,0.25,0.5 and 1:
We'll get: g(t)-f(t)={0, 0.25, 0.5, 1} ... Now: f(x^2)=x^2 , g(x^2)=2x^2
So : g(t^2)-f(t^2)={0, 0.0625, 0.25, 1 }


Let's check another example: f(x)=2x+4 , g(x)=x -> f(x^2)=2x^2+4 , g(x^2)=x^2
f(t)-g(t)={4, 4.25, 4.5 , 5}
But f(t^2)-g(t^2)={4, 4.0625, 4.25, 5 }

My assumtion was from the beginning that the distances are equal...
because, for example, if the supermum is in 0.5, then the supermum of the squares is in
sqrt(0.5)... So the distances must be equal...Am I right this time?
 
Last edited:
TheForumLord said:
Their values are squared! It's the definition of f(x^2) no?
Can you help me out here? I'm kind of hopeless...
TNX

No; [tex]f(x^2) \neq f(x)^2[/tex]. You are not squaring the value of [tex]f[/tex]; you are measuring the value of [tex]f[/tex] at a different place.
 
Yes...But as you can see in my message above you, I am almost sure that if the supermum of f is in x, then the supermum of f(x^2) is in sqrt(x)...It's only because it's f(x^2) and not f(x)^2 of course...
 

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