Twice-differentiable, mean value theorem, fixed point

In summary, We have proven that if g is a twice-differentiable function on [0,1] with g''(x) > 0, for all x \in [0,1], and with g(0) > 0 and g(1) = 1, then g(d) = d for some d \in (0,1) if and only if g'(1) > 1.
  • #1
fmam3
82
0

Homework Statement


Let [tex]g:[0,1] \to \mathbb{R}[/tex] be twice-differentiable (i.e. both [tex]g[/tex] and [tex]g'[/tex] are differentiable functions) with [tex]g''(x) > 0[/tex] for all [tex]x \in [0,1][/tex]. If [tex]g(0) > 0[/tex] and [tex]g(1) = 1[/tex], show that [tex]g(d) = d[/tex] for some [tex]d \in (0,1)[/tex] if and only if [tex]g'(1) > 1[/tex].


Homework Equations





The Attempt at a Solution


I can prove one direction but not the other!

Suppose [tex]g(d) = d[/tex] for some [tex]d \in (0,1)[/tex] and let's show [tex]g'(1) > 1[/tex]. Since g is continuous on [tex][0,1][/tex] and differentiable on [tex](0,1)[/tex], by the Mean Value Theorem applied to [tex][d,1][/tex], then [tex]\exists c_1 \in (d,1)[/tex], then we have
[tex]
\begin{align*}
g'(c_1) &= \frac{g(1) - g(d)}{1 - d} \\
&= \frac{1 - d}{1 - d} \\
&= 1
\end{align*}
[/tex]
Note that since [tex]g[/tex] is differentiable on [tex][0,1][/tex], [tex]g'(1)[/tex] exists and is finite. Then since [tex]g'[/tex] is a differentiable and hence continuous function on [tex][0,1][/tex], we can apply the Mean Value Theorem on [tex][c_1,1][/tex] to have that, [tex]\exists c_2 \in (c_1, 1)[/tex] such that
[tex]
\begin{align*}
g''(c_2) &= \frac{g'(1) - g'(c_1)}{1 - c_1} \\
&= \frac{g'(1) - 1}{1 - c_1} \\
&> 0
\end{align*}
[/tex]
where the last strict inequality follows from the hypothesis that [tex]g''(x) > 0, \forall x \in [0,1][/tex] and [tex]1 - c_1 > 0[/tex]. This implies [tex]g'(1) > 1[/tex] as required.

Now for the converse, suppose we have [tex]g'(1) > 1[/tex] and we want to show [tex]g(d) = d[/tex] for [tex]\exists d \in (0,1)[/tex]. Define the function [tex]h(x) = g(x) - x[/tex]. Then clearly, [tex]h[/tex] is also twice differentiable on [tex][0,1][/tex]. Now, see that [tex]h'(1) = g'(1) - 1 > 0[/tex]... (this is where I'm stuck!)

I'm having trouble showing the converse! I've tried to apply the Mean Value Theorem, Intermediate Value Theorem for continuous functions on a compact set, and also Intermediate Value Theorem for derivatives --- but still, I feel that I'm so close but yet not quite there. Any small hint would be greatly appreciated!

Thanks :)
 
Last edited:
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  • #2
Very nice job so far.

Small nudge: Apply defn of derivative to h'(1).
 
  • #3
Billy Bob said:
Very nice job so far.

Small nudge: Apply defn of derivative to h'(1).

Thanks for your reply!

I hope you wouldn't mind giving me a bigger nudge! Here's my attempt on applying your tip.

Define [tex]h(x) = g(x) - x[/tex] on [tex][0,1][/tex] and clearly, it is continuous and differentiable on [tex][0,1][/tex]. Now, note that since [tex]g'(x) > 1[/tex], it follows that [tex]h'(1) = g'(1) - 1 > 0[/tex]. Then by the definition of the derivative, we have that
[tex]
\begin{align*}
h'(1) = \lim_{x \to 1} \frac{h(x) - h(1)}{x - 1}
\end{align*}
[/tex]
which means, [tex]\forall \varepsilon >0, \exists \delta > 0[/tex] such that [tex]\forall x \in [0,1][/tex] and [tex]0 < |x - 1| < \delta[/tex], we have
[tex]
\begin{align*}
\left| \frac{h(x) - h(1)}{x - 1} - h'(1) \right| < \varepsilon
\end{align*}
[/tex]
In particular, we can set [tex]\varepsilon = h'(1) > 0[/tex], and thus we have that
[tex]
\begin{align*}
-h'(1) < \frac{h(x) - h(1)}{x - 1} - h'(1) < h'(1) \\
0 < \frac{h(x) - h(1)}{x - 1} < 2h'(1)
\end{align*}
[/tex]
or simply, [tex]h(x) > h(1)[/tex], implying [tex]g(x) - x > g(1) - 1 = 1 - 1 = 0[/tex], for [tex]x \in [0,1][/tex] and [tex]0 < |x - 1| < \delta[/tex].

I have up to that but I still can't see how we can have [tex]h(d) = 0[/tex], which is sufficient to show [tex]g(d) = d[/tex]. Any more nudges would be greatly appreciated! :)
 
  • #4
Here's my take on it (informally).

If g'(1)>1 we know that g' is increasing, so g'(0)<1 (if it was greater than or equal to 1, g(x) would always increase faster than the line y=x so g(1) would not be 1). That means somewhere, g'(a)=1. Is g(a)<a or g(a)>a, and why?
 
  • #5
Office_Shredder said:
Here's my take on it (informally).

If g'(1)>1 we know that g' is increasing, so g'(0)<1 (if it was greater than or equal to 1, g(x) would always increase faster than the line y=x so g(1) would not be 1). That means somewhere, g'(a)=1. Is g(a)<a or g(a)>a, and why?

Thanks for the input!

But may I ask how did you conclude that if [tex]g'(1) > 1[/tex], then [tex]g'[/tex] is increasing?

Perhaps my knowledge is still not solid enough but I have so far only learned that if a function [tex]f[/tex] is defined on a set [tex]A \subseteq \mathbb{R}[/tex] and if [tex]f'(x) > 0[/tex] on [tex]A[/tex], then [tex]f[/tex] is strictly increasing on A; we have increasing if we replace the [tex]>[/tex] with an [tex]\geq[/tex].

Thanks again :)
 
Last edited:
  • #6
Thanks Billy Bob & Office_Shredder for the tips above!

I think I have figured out a solution. Here it is :)

For the converse, suppose we have [tex]g'(1) > 1[/tex] and we want to show [tex]g(d) = d[/tex] for some [tex]d \in (0,1)[/tex]. For contradiction, suppose we have [tex]g(d) \ne d[/tex] for [tex]\forall d \in (0,1)[/tex].

Suppose for a fixed [tex]d \in (0,1)[/tex], we have [tex]g(d) > d[/tex]. Applying the Mean Value theorem on [tex][d,1][/tex], we have that [tex]\exists c_1 \in (d,1)[/tex] such that
[tex]
\begin{align*}
g'(c_1) &= \frac{g(1) - g(d)}{1 - d} \\
&= \frac{1 - g(d)}{1 - d}
\end{align*}
[/tex]
and since [tex]g'[/tex] is differentiable, applying the Mean Value Theorem again on [tex][c_1, 1[/tex], we have that [tex]\exists c_2 \in (c_1, 1)[/tex] such that
[tex]
\begin{align*}
g''(c_2) &= \frac{g'(1) - g'(c_1))}{1 - c_1} \\
&> 0
\end{align*}
[/tex]
implying that [tex]g'(1) > g'(c_1)[/tex]. But note that since we have assumed [tex]g(d) > d[/tex], it implies that we have [tex]g'(c_1) = \frac{1 - g(d)}{1 - d} < \frac{1 - d}{1 - d} = 1[/tex] --- contradiction to the assumption that [tex]g'(1) > 1[/tex].

Next, we assume that for a fixed [tex]d \in (0,1)[/tex], we have [tex]g(d) < d[/tex]. Again, applying the Mean Value Theorem to [tex][0,d][/tex], we have that [tex]\exists c_3 \in (0,d)[/tex] such that
[tex]
\begin{align*}
g'(c_3) &= \frac{g(d) - g(0))}{d - 0} \\
&= \frac{g(d) - g(0)}{d}
\end{align*}
[/tex]
and since [tex]g'[/tex] is differentiable and applying the Mean Value Theorem on [tex][c_3, 1[/tex], we have that [tex]\exists c_4 \in (c_3, 1)[/tex] such that
[tex]
\begin{align*}
g''(c_4) &= \frac{g'(1) - g'(c_3)}{1 - c_3} \\
&> 0
\end{align*}
[/tex]
implying [tex]g'(1) > g'(c_3)[/tex]. But note that [tex]g'(c_3) = \frac{g(d) - g(0)}{d} = \frac{(g(d) - d) + d - g(0)} {d} = \frac{g(d) - d}{d} + 1 - \frac{g(0)}{d}[/tex]. But since we have that [tex]g(0) > 0[/tex] and assumed that [tex]g(d) < d[/tex], it follows that [tex]\frac{g(d) - d}{d} < 0[/tex] and [tex]\frac{g(0)}{d} > 0[/tex]. Thus, it follows that [tex]g'(c_3) = \frac{g(d) - d}{d} + 1 - \frac{g(0)}{d} < 1[/tex] --- contradiction, since [tex]g'(1) > g'(c_3)[/tex] but we have that [tex]g'(1) > 1[/tex].

Thus, neither [tex]g(d) < d[/tex] nor [tex]g(d) > d[/tex] holds for [tex]\forall d \in (0,1)[/tex]. Hence, we must have that [tex]\exists d \in (0,1)[/tex] such that [tex]g(d) = d[/tex]. This completes the proof of the converse :)
 
  • #7
You start off by assuming for a fixed d that g(d)>d leads to a contradiction. Then you do the same for g(d)<d. That doesn't prove for some d g(d)=d, that proves for ALL d g(d)=d!

You didn't develop a contradiction for g(d)>d, you had

g'(1)>g'(c1 and g'(c1)=1. No problem, since that gives g'(1)>1 which is true

fmam3 said:
Thanks for the input!

But may I ask how did you conclude that if [tex]g'(1) > 1[/tex], then [tex]g'[/tex] is increasing?

Perhaps my knowledge is still not solid enough but I have so far only learned that if a function [tex]f[/tex] is defined on a set [tex]A \subseteq \mathbb{R}[/tex] and if [tex]f'(x) > 0[/tex] on [tex]A[/tex], then [tex]f[/tex] is strictly increasing on A; we have increasing if we replace the [tex]>[/tex] with an [tex]\geq[/tex].

Thanks again :)

I concluded g' is increasing by the fact that g''(x)>0
 
  • #8
Office_Shredder said:
You start off by assuming for a fixed d that g(d)>d leads to a contradiction. Then you do the same for g(d)<d. That doesn't prove for some d g(d)=d, that proves for ALL d g(d)=d!
Yes... you're right. I screwed up on the negation. The negation of the statement "[tex]\exists d \in (0,1)[/tex] s.t. [tex]g(d) = d[/tex]" should be [tex]\forall d \in (0,1), g(d) = d[/tex].

Office_Shredder said:
You didn't develop a contradiction for g(d)>d, you had

g'(1)>g'(c1 and g'(c1)=1. No problem, since that gives g'(1)>1 which is true
Actually, I showed that [tex]g'(c_1) < 1[/tex] in the above. But this doesn't matter, since my negated statement is wrong anyways.


I'll have to go back and think a little more on this... thanks for the reply!
 
  • #9
fmam3 said:
Yes... you're right. I screwed up on the negation. The negation of the statement "[tex]\exists d \in (0,1)[/tex] s.t. [tex]g(d) = d[/tex]" should be [tex]\forall d \in (0,1), g(d) = d[/tex].


Actually, I showed that [tex]g'(c_1) < 1[/tex] in the above. But this doesn't matter, since my negated statement is wrong anyways.


I'll have to go back and think a little more on this... thanks for the reply!

I'm actually wondering --- can my proof still be repaired? So if we start of by assuming that [tex]\forall d \in (0,1), g(d) = d[/tex], then we must have the two cases:
(1) [tex]\forall d \in (0,1), g(d) \geq d[/tex]; and
(2) [tex]\forall d \in (0,1), g(d) \leq d[/tex]

Now, if I were two replace in my above proof [tex]g(d) > d[/tex] with [tex]g(d) \geq d[/tex] and [tex]g(d) < d[/tex] with [tex]g(d) \leq d[/tex], use the same method to construct the contradictions, the result would be that we cannot have [tex]\forall d \in (0,1), g(d) = d[/tex] and hence this gives the desired result. Is this correct or am I losing my mind over this problem?
 
  • #10
If g(d) >= d for all d, that's not a problem. Since it could be g(d)=d.

I think you need to start with a more intuitive approach.. Stop trying to bang out mean value theorems and start drawing a couple example graphs. The graph of g(x) starts out above the graph of the function x. And at the end they meet at the same point. BUT! g(x) is also increasing faster than x at that point. So draw the line y=x. Put a point on the y-axis above 0 to represent g(0). Now draw a curve from the point (1,1) with a slope greater than 1 back towards 0 to represent g(x).

Do you notice how your graph of g(x) is immediately below the graph of x? What the problem here is asking you to show is that since g(0)>0, g(x) has to cross over the line y=x in order to look like this
 
  • #11
Office_Shredder said:
If g(d) >= d for all d, that's not a problem. Since it could be g(d)=d.

I think you need to start with a more intuitive approach.. Stop trying to bang out mean value theorems and start drawing a couple example graphs. The graph of g(x) starts out above the graph of the function x. And at the end they meet at the same point. BUT! g(x) is also increasing faster than x at that point. So draw the line y=x. Put a point on the y-axis above 0 to represent g(0). Now draw a curve from the point (1,1) with a slope greater than 1 back towards 0 to represent g(x).

Do you notice how your graph of g(x) is immediately below the graph of x? What the problem here is asking you to show is that since g(0)>0, g(x) has to cross over the line y=x in order to look like this

Thanks for the reply again. I mean, geometrically, I see exactly what you mean. But since it is necessary to prove this rigorously, I'm sure there must be a way of applying the Mean Value Theorem (and I'm dead sure it must be used in the converse case) to solve it. *sigh*...

But thanks for your patience with me on this problem :)
 
  • #12
[tex]
\begin{align*}
-h'(1) < \frac{h(x) - h(1)}{x - 1} - h'(1) < h'(1) \\
0 < \frac{h(x) - h(1)}{x - 1} < 2h'(1)
\end{align*}
[/tex]
or simply, [tex]h(x) > h(1)[/tex], implying [tex]g(x) - x > g(1) - 1 = 1 - 1 = 0[/tex], for [tex]x \in [0,1][/tex] and [tex]0 < |x - 1| < \delta[/tex].

Very good, but with one crucial error. Since x<1 (after all, 0<x<1) you should obtain h(x)<h(1)=0 for some x close to but less than. But h(0)>0.
 
  • #13
Billy Bob said:
Very good, but with one crucial error. Since x<1 (after all, 0<x<1) you should obtain h(x)<h(1)=0 for some x close to but less than. But h(0)>0.

Ah... yes perfect! Yes, I should have caught that error myself (i.e. [tex]x \in (0,1)[/tex] part). Then we have that [tex]h(x) < h(1) = 0[/tex] for [tex]\exists x \in (0,1)[/tex]. And since [tex]h(0) = g(0) - 0 > 0[/tex], it follows that we have [tex]h(x) < 0 < h(0)[/tex] for [tex]\exists x \in (0,1)[/tex]. Hence, since h is clearly continuous on [tex][0,1][/tex], then by the Intermediate Value Theorem, [tex]\exists d \in (0,x) \subseteq [0,1][/tex] such that [tex]h(d) = g(d) - d = 0 [/tex]. This completes the proof.

Wow! Thanks! This problem has been killing me for the last 36 hrs or so! :)
 
  • #14
Thanks again to both Billy Bob and Office_Shredder! You guys were great help :)
 

FAQ: Twice-differentiable, mean value theorem, fixed point

What is the mean value theorem?

The mean value theorem is a fundamental theorem in calculus that states that if a function is continuous on a closed interval and differentiable on the open interval, then there exists a point within the interval where the slope of the tangent line to the function is equal to the average rate of change of the function over the interval.

What does it mean for a function to be twice-differentiable?

A function is said to be twice-differentiable if it is differentiable twice, meaning that its first and second derivatives exist and are continuous.

What is a fixed point of a function?

A fixed point of a function is a point in the domain of the function that remains unchanged when the function is applied to it. In other words, the output of the function at that point is equal to the input.

How is the mean value theorem related to fixed points?

The mean value theorem can be used to prove the existence of a fixed point for certain types of functions. If a function is continuous on a closed interval and differentiable on the open interval, then there exists a fixed point within that interval where the derivative of the function is equal to 1.

Why is the mean value theorem important?

The mean value theorem is important because it is a powerful tool in calculus that allows us to prove the existence of certain mathematical properties, such as fixed points. It also has many practical applications, such as in optimization problems and in the proof of other important theorems in calculus.

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