Need clarification on proof on I.V.T.

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Samuelb88
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Theorem. Suppose that [itex]f(x)[/itex] is continuous on [a,b], [itex]a, b \in \mathbb{R}[/itex]. Then [itex]\exists c[/itex], a<c<b such that [itex]f(c)=0[/itex].

Proof. Let [itex]c=\sup\{ x : f(x) < 0 \}[/itex] and observe that [itex]c<0[/itex]. Now let [itex]x_n \rightarrow c[/itex] as [itex]n \rightarrow \infty[/itex] and observe that [itex]x_n < 0[/itex]. Get by transmission of continuity that [itex]f(x_n) \rightarrow f(c)[/itex] as [itex]n \rightarrow \infty[/itex]. Thus we have [itex]f(c) = \lim_{n \rightarrow \infty} f(x_n) \leq 0[/itex]. Now suppose that [itex]f(c) < 0[/itex], we will derive a contradiction. Now we know that [itex]\exists \epsilon[/itex] such that [itex]\forall y \in (c-\epsilon, c+\epsilon)[/itex], [itex]f(y) < 0[/itex]. Then either [itex]y<c<0[/itex] or [itex]c<y<0[/itex]. Suppose that [itex]c<y<0[/itex], but this would contradict our definition of [itex]c[/itex]. Therefore we conclude that our initial supposition was wrong and therefore [itex]f(c)=0[/itex], as required.

Here's my question: I think I'm missing something about the definition of [itex]c[/itex], that is, how can we define [itex]c[/itex] to be the least upper bound of the negative values of a continuous function since we can get as close as we want to zero without ever reaching zero?
 
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Hi samuelb88! :smile:

Where in Earth did you get this "proof"? A lot of it makes no sense and is not true.

Here's my attempt to clean things up

Samuelb88 said:
Theorem. Suppose that [itex]f(x)[/itex] is continuous on [a,b], [itex]a, b \in \mathbb{R}[/itex]. If f(a)<0 and f(b)>0 then [itex]\exists c[/itex], a<c<b such that [itex]f(c)=0[/itex].

Proof. Let [itex]c=\sup\{ x : f(x) < 0 \}[/itex] and observe that [itex]c<b[/itex] (since f(b)>0). Now let [itex]x_n \rightarrow c[/itex] as [itex]n \rightarrow \infty[/itex] with f(xn)<0. Get by transmission of continuity that [itex]f(x_n) \rightarrow f(c)[/itex] as [itex]n \rightarrow \infty[/itex]. Thus we have [itex]f(c) = \lim_{n \rightarrow \infty} f(x_n) \leq 0[/itex]. Now suppose that [itex]f(c) < 0[/itex], we will derive a contradiction. Now we know that [itex]\exists \epsilon[/itex] such that [itex]\forall y \in (c-\epsilon, c+\epsilon)[/itex], [itex]f(y) < 0[/itex]. But for y>c, this contradicts our definition of c. Therefore we conclude that our initial supposition was wrong and therefore [itex]f(c)=0[/itex], as required.
 
So how can we assign a value to the least upper bound of the set [itex]\{ x : f(x) < 0 \}[/itex]? I'm confused since for any real number, say c, such that c<0, we can always find another real number, say d, such that c<d<0.
 
Samuelb88 said:
So how can we assign a value to the least upper bound of the set [itex]\{ x : f(x) < 0 \}[/itex]? I'm confused since for any real number, say c, such that c<0, we can always find another real number, say d, such that c<d<0.

Yes, but the c<0 thingies really don't make any sense. I see no reason why c must be <0.

Let's do an example: take the function f(x)=x-2 on [-10,10]. Then

[tex]\{x~\vert~f(x)<0\}=[-10,2[[/tex]

then the least upper bound is 2, so our c=2. This doesn't mean that f(c)<0 (and indeed, our example shows that this is not the case). But we can always take the least upper bound.
 
Ahh I was thinking about it incorrectly. Thank you, micromass! :)