Linear function F continuous somewhere, to prove continuous everywhere

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Homework Help Overview

The discussion revolves around proving the continuity of a linear function defined on a subset of real numbers, given that it is continuous at the origin. Participants are exploring the implications of linearity and continuity in the context of mathematical analysis.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Assumption checking

Approaches and Questions Raised

  • Participants are attempting to leverage the properties of linear functions and the definition of continuity to establish broader continuity. Some are exploring the use of the triangle inequality and linearity, while others are questioning the assumptions about the behavior of the function outside the origin.

Discussion Status

The discussion is active, with participants offering insights and suggestions on how to approach the proof. There is a recognition of the need to connect the continuity at zero to the behavior of the function at other points, with some participants providing guidance on how to apply linearity in the argument.

Contextual Notes

There is an emphasis on the continuity condition at the origin and how it relates to the function's behavior elsewhere. Some participants express uncertainty about the implications of linearity and continuity, indicating a need for further exploration of these concepts.

SrEstroncio
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Homework Statement


Let [tex]f:A\subset{\mathbb{R}}^{n}\mapsto \mathbb{R}[/tex] be a linear function continuous a [tex]\vec{0}[/tex]. To prove that [tex]f[/tex] is continuous everywhere.


Homework Equations


If [tex]f[/tex] is continuous at zero, then [tex]\forall \epsilon>0 \exists\delta>0[/tex] such that if [tex]\|\vec{x}\|<\delta[/tex] then [tex]\|f(\vec{x}) \|< \epsilon[/tex].
[tex]f[/tex] also satisfies [tex]f(\vec{a}+\alpha\vec{b})=f(\vec{a})+\alpha f(\vec{b})[/tex].

The Attempt at a Solution


I tried using several forms of the triangle inequality to prove that [tex]\|f(\vec{x})\|<\epsilon[/tex] implies that [tex]\|f(\vec{x})-f(\vec{x_0})\|<\epsilon[/tex] by means of adding a zero [tex]f(x)=f(x+0)=f(x+x_0-x_0)=f(x)-f(x_0)+f(x_0)[/tex] but I haven't been able to conclude anything special.

Thanks in advance for all your help.
 
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If you examine the value of the functional at the point ax then you will see that as f is continuous at 0, you can still make f(ax) as small as you like in the norm. Choose a point x_{0} and examine f(x-x_{0}), you know that ||f(x)||<epsilon for all values of x, so...
 
You don't know that f(x) is going to be small (in general it won't be).

Try just using linearity: f(x)-f(x0)=f(x-x0)
 
I don't seem to be catching the drift. I can't figure out how to use the linearity property in order to get to where I want to be.
 
Here's the general idea and you can fill in the details:

We know that if y is small, f(y) is small by continuity at 0. You want to show f(x)-f(x0) is small. But we know that x-x0 is small which means f(x-x0) is small
 
Got it. Thanks
 

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