Proving Properties of Differentiable Functions: Limits & Convexity

In summary, the conversation discusses the properties of differentiable functions and their limits. The participants wonder about the proof for statements involving these limits, specifically in the case of convex functions. They also discuss the meaning of "strictly monotone" and explore different approaches to proving the statements. Ultimately, they come to the conclusion that for the statement to hold, $f'(y)$ must be equal to 0.
  • #1
mathmari
Gold Member
MHB
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Hey! :eek:

Could you give me a hint how to prove the following statements? (Wondering)

Let $f:\mathbb{R}\rightarrow \mathbb{R}$ be differentiable (or twice differentiable).
  1. $\left.\begin{matrix}
    \displaystyle{\lim_{x\rightarrow +\infty}f(x)=\ell} \ (\text{or } \displaystyle{\lim_{x\rightarrow -\infty}f(x)=\ell}), \ell\in \mathbb{R} \\
    \text{and } f \text{ convex (or concave)}
    \end{matrix}\right\}\lim\limits_{\substack{x\rightarrow +\infty \\ (\text{or } x\rightarrow -\infty)}}f'(x)=0 $

    $\Rightarrow\ f$ is strictly monotone
  2. If $\displaystyle{\lim_{x\rightarrow +\infty}f''(x)}$ exists, then $\displaystyle{\lim_{x\rightarrow +\infty}f''(x)=\lim_{x\rightarrow +\infty}f'(x)=0}$ (i.e. we don't assume that $\displaystyle{\lim_{x\rightarrow +\infty}f'(x)}$ exists).
 
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  • #2
Hey mathmari!

Let's start with:

Let $f:\mathbb{R}\rightarrow \mathbb{R}$ be differentiable.

1a.
$$\left.\begin{matrix}
\lim\limits_{x\to +\infty}f(x)=\ell,\,\ell\in \mathbb{R} \\
\text{and } f \text{ convex}
\end{matrix}\right\}\lim\limits_{x\to +\infty}f'(x)=0
\quad\implies\quad f{\text{ is strictly monotone}}$$

It follows from $\lim\limits_{x\rightarrow +\infty}f(x)=\ell$ that $\lim\limits_{x\to +\infty}f'(x)=0$ doesn't it? $f$ doesn't need to be convex for that, does it? (Wondering)Anyway, from wiki:
A differentiable function of one variable is convex on an interval if and only if its graph lies above all of its tangents:
$$f(x)\geq f(y)+f'(y)(x-y)$$
for all x and y in the interval.

Can we use it to find if $f$ is strictly monotone?
What does strictly monotone mean exactly? (Wondering)
 
  • #3
Klaas van Aarsen said:
Let's start with:

It follows from $\lim\limits_{x\rightarrow +\infty}f(x)=\ell$ that $\lim\limits_{x\to +\infty}f'(x)=0$ doesn't it? $f$ doesn't need to be convex for that, does it? (Wondering)

In a previous exercise I showed that $$\lim_{x\rightarrow +\infty}(f(x+1)-f(x))=L \Rightarrow \lim_{x\rightarrow +\infty}f'(x)=L$$ if we know that $\displaystyle{\lim_{x\rightarrow +\infty}f'(x)}$ exists.

When we know that the function is convex does it follow that $\displaystyle{\lim_{x\rightarrow +\infty}f'(x)}$ exists and so we can use this statement to show that $\displaystyle{\lim\limits_{x\to +\infty}f'(x)=0}$ ? (Wondering) Or how does it follow from $\lim\limits_{x\rightarrow +\infty}f(x)=\ell$ that $\lim\limits_{x\to +\infty}f'(x)=0$ ? (Wondering)
Klaas van Aarsen said:
Anyway, from wiki:
A differentiable function of one variable is convex on an interval if and only if its graph lies above all of its tangents:
$$f(x)\geq f(y)+f'(y)(x-y)$$
for all x and y in the interval.

Can we use it to find if $f$ is strictly monotone?
What does strictly monotone mean exactly? (Wondering)

Strictly monotone means that at the inequality the equality doesn't hold, i.e. strictly increasing is $x_1<x_2 \Rightarrow f(x_1)<f(x_2)$.
 
  • #4
mathmari said:
In a previous exercise I showed that $$\lim_{x\rightarrow +\infty}(f(x+1)-f(x))=L \Rightarrow \lim_{x\rightarrow +\infty}f'(x)=L$$ if we know that $\displaystyle{\lim_{x\rightarrow +\infty}f'(x)}$ exists.

When we know that the function is convex does it follow that $\displaystyle{\lim_{x\rightarrow +\infty}f'(x)}$ exists and so we can use this statement to show that $\displaystyle{\lim\limits_{x\to +\infty}f'(x)=0}$ ?

Let's see, suppose we pick a convex function, say $f(x)=x^2$. It's convex isn't it?
Does $\lim\limits_{x\to +\infty}f'(x)$ exist? (Wondering)

mathmari said:
Or how does it follow from $\lim\limits_{x\rightarrow +\infty}f(x)=\ell$ that $\lim\limits_{x\to +\infty}f'(x)=0$ ?

How about:
$$\lim_{x\to +\infty} f'(x) = \lim_{x\to +\infty} \lim_{h\to 0}\frac{f(x+h)-f(x)}{h}
= \lim_{h\to 0}\lim_{x\to +\infty} \frac{f(x+h)-f(x)}{h}
= \lim_{h\to 0} \frac{\ell-\ell}{h} = 0
$$
(Thinking)

mathmari said:
Strictly monotone means that at the inequality the equality doesn't hold, i.e. strictly increasing is $x_1<x_2 \Rightarrow f(x_1)<f(x_2)$.

Good.
Can we deduce that from the property that says when a differentiable function is convex? (Thinking)
 
  • #5
Klaas van Aarsen said:
Let's see, suppose we pick a convex function, say $f(x)=x^2$. It's convex isn't it?
Does $\lim\limits_{x\to +\infty}f'(x)$ exist? (Wondering)

At the previous exercise $L$ belong to $\mathbb{R}\cup \{\pm \infty\}$. So since $f'(x)=2x$ and the limit is equal to $+\infty$ and so it exists. (Wondering)
Klaas van Aarsen said:
How about:
$$\lim_{x\to +\infty} f'(x) = \lim_{x\to +\infty} \lim_{h\to 0}\frac{f(x+h)-f(x)}{h}
= \lim_{h\to 0}\lim_{x\to +\infty} \frac{f(x+h)-f(x)}{h}
= \lim_{h\to 0} \frac{\ell-\ell}{h} = 0
$$
(Thinking)

Ahh ok! I see! (Malthe)
Klaas van Aarsen said:
Can we deduce that from the property that says when a differentiable function is convex? (Thinking)

Since $f$ is convex we have that $f(x)\geq f(y)+f'(y)(x-y)$. Do we consider the limit as $x\rightarrow +\infty$ ? (Wondering)
 
  • #6
mathmari said:
At the previous exercise $L$ belong to $\mathbb{R}\cup \{\pm \infty\}$. So since $f'(x)=2x$ and the limit is equal to $+\infty$ and so it exists.

Ah okay. But that is not the case now is it? (Wondering)

mathmari said:
Since $f$ is convex we have that $f(x)\geq f(y)+f'(y)(x-y)$. Do we consider the limit as $x\rightarrow +\infty$ ?

Sounds like a plan. (Nod)
 
  • #7
Klaas van Aarsen said:
Sounds like a plan. (Nod)

So we have the following:
\begin{align*}f(x)\geq f(y)+f'(y)(x-y)&\Rightarrow \lim_{x\rightarrow +\infty}f(x)\geq \lim_{x\rightarrow +\infty}(f(y)+f'(y)(x-y)) \Rightarrow \ell\geq f(y)+f'(y)(\lim_{x\rightarrow +\infty}x-y) \\ & \Rightarrow \ell\geq f(y)+f'(y)(+\infty-y) \Rightarrow \ell\geq +\infty\end{align*}
Does this help us? (Wondering)
 
  • #8
mathmari said:
So we have the following:
\begin{align*}f(x)\geq f(y)+f'(y)(x-y)&\Rightarrow \lim_{x\rightarrow +\infty}f(x)\geq \lim_{x\rightarrow +\infty}(f(y)+f'(y)(x-y)) \Rightarrow \ell\geq f(y)+f'(y)(\lim_{x\rightarrow +\infty}x-y) \\ & \Rightarrow \ell\geq f(y)+f'(y)(+\infty-y) \Rightarrow \ell\geq +\infty\end{align*}
Does this help us?

We have an expression with $f(y)$, $f'(y)$, and $\ell$.
And we already know that $\ell\in\mathbb R$, don't we? So it can't be $\pm\infty$ either.

What can we say about $f'(y)$ for the statement to hold? (Wondering)
 
  • #9
Klaas van Aarsen said:
We have an expression with $f(y)$, $f'(y)$, and $\ell$.
And we already know that $\ell\in\mathbb R$, don't we? So it can't be $\pm\infty$ either.

What can we say about $f'(y)$ for the statement to hold? (Wondering)

So that we get that $\ell$ is not infinity we have to get an undefined form, one such form is when infinity is multiplied with zero, so $f'(y)$ must be equal to $0$.

Is this correct? (Wondering)
 
  • #10
mathmari said:
So that we get that $\ell$ is not infinity we have to get an undefined form, one such form is when infinity is multiplied with zero, so $f'(y)$ must be equal to $0$.

Is this correct?

That is a possibility yes.
What happens if $f'(y)$ is negative? (Wondering)
 
  • #11
Klaas van Aarsen said:
That is a possibility yes.
What happens if $f'(y)$ is negative? (Wondering)

Ah $(-\infty)\cdot (+\infty)$ is also an undefined form, isn't it?

So $f'(y)$ is either $0$ or $-\infty$, right? (Wondering)
 
  • #12
mathmari said:
Ah $(-\infty)\cdot (+\infty)$ is also an undefined form, isn't it?

So $f'(y)$ is either $0$ or $-\infty$, right?

Then the inequality also holds yes.
What if fill in, say, $f'(y)=-1$ in the inequality? Would it satisfy it? (Wondering)
 
  • #13
Klaas van Aarsen said:
Then the inequality also holds yes.
What if fill in, say, $f'(y)=-1$ in the inequality? Would it satisfy it? (Wondering)

Yes, because then from $\ell\geq f(y)+f'(y)(+\infty-y)$ we get $-\infty$ at the right side of the inequality, and so $\ell$ can be real.

Therefore it must hold that $f'(y)\leq 0$, or not? (Wondering)
 
  • #14
mathmari said:
Yes, because then from $\ell\geq f(y)+f'(y)(+\infty-y)$ we get $-\infty$ at the right side of the inequality, and so $\ell$ can be real.

Therefore it must hold that $f'(y)\leq 0$, or not?

Yep. (Nod)
 
  • #15
Klaas van Aarsen said:
Yep. (Nod)

Ok! That means that $f$ is monotone and escpecially descreasing, right? To get that $f$ is strictly monotone, do we have to get $f'(x)<0$ instead of $f'(x)\leq 0$ ? (Wondering)
 
  • #16
mathmari said:
Ok! That means that $f$ is monotone and escpecially descreasing, right? To get that $f$ is strictly monotone, do we have to get $f'(x)<0$ instead of $f'(x)\leq 0$ ?

Indeed. (Thinking)
 
  • #17
Klaas van Aarsen said:
Indeed. (Thinking)

I don't see how we get the strict inequality. Is maybe the result wrong and it should be monotone instead of strictly monotone? (Wondering)
 
  • #18
mathmari said:
I don't see how we get the strict inequality. Is maybe the result wrong and it should be monotone instead of strictly monotone? (Wondering)

I believe so yes.
Consider $f(x)=\ell$. It satisfies all conditions, doesn't it? (Wondering)
And it is monotone instead of strictly monotone.

To get strictly monotone we need $f$ to be strictly convex. (Thinking)
 
  • #19
Klaas van Aarsen said:
I believe so yes.
Consider $f(x)=\ell$. It satisfies all conditions, doesn't it? (Wondering)
And it is monotone instead of strictly monotone.

To get strictly monotone we need $f$ to be strictly convex. (Thinking)

OK, so it's graph is a decreasing function, right? Or can we say something more specifically? (Wondering)
 
  • #20
mathmari said:
OK, so it's graph is a decreasing function, right? Or can we say something more specifically?

Yep. (Nod)
And no, nothing more specific.
 
  • #21
Ok!

As for the second question, why is the limit always zero?
(Wondering)

mathmari said:
If $\displaystyle{\lim_{x\rightarrow +\infty}f''(x)}$ exists, then $\displaystyle{\lim_{x\rightarrow +\infty}f''(x)=\lim_{x\rightarrow +\infty}f'(x)=0}$ (i.e. we don't assume that $\displaystyle{\lim_{x\rightarrow +\infty}f'(x)}$ exists).
 
  • #22
mathmari said:
Ok!

As for the second question, why is the limit always zero?

Let's take a look at a couple of examples.

If $f(x)=x$, then $f'(x)=1$ and $f''(x)=0$.
So $\lim\limits_{x\to +\infty}f'(x)\ne 0$, isn't it? (Worried)

If $f(x)=x^2$, then $f'(x)=2x$ and $f''(x)=2$.
So $\lim\limits_{x\to +\infty}f''(x)$ exists, but it isn't $0$ is it? (Worried)

Is there something missing? (Wondering)
 
  • #23
Klaas van Aarsen said:
Let's take a look at a couple of examples.

If $f(x)=x$, then $f'(x)=1$ and $f''(x)=0$.
So $\lim\limits_{x\to +\infty}f'(x)\ne 0$, isn't it? (Worried)

If $f(x)=x^2$, then $f'(x)=2x$ and $f''(x)=2$.
So $\lim\limits_{x\to +\infty}f''(x)$ exists, but it isn't $0$ is it? (Worried)

Is there something missing? (Wondering)

Ahh ok!

And if we assume that $\displaystyle{\lim_{x\rightarrow +\infty}f(x)=\ell\in\mathbb{R}}$ ? (Wondering)
 
  • #24
mathmari said:
Ahh ok!

And if we assume that $\displaystyle{\lim_{x\rightarrow +\infty}f(x)=\ell\in\mathbb{R}}$ ? (Wondering)

Then we have:
Klaas van Aarsen said:
How about:
$$\lim_{x\to +\infty} f'(x) = \lim_{x\to +\infty} \lim_{h\to 0}\frac{f(x+h)-f(x)}{h}
= \lim_{h\to 0}\lim_{x\to +\infty} \frac{f(x+h)-f(x)}{h}
= \lim_{h\to 0} \frac{\ell-\ell}{h} = 0
$$
don't we? (Thinking)

It follows that the limit of $f''(x)$ is also $0$, doesn't it?
Then there is no need to start with the assumption that it is, is it? (Bandit)
 

FAQ: Proving Properties of Differentiable Functions: Limits & Convexity

What is the definition of a differentiable function?

A differentiable function is a type of function that has a well-defined derivative at every point in its domain. This means that the function is smooth and has a continuous slope at every point.

How do you prove that a function is differentiable?

To prove that a function is differentiable, you must show that the limit of the difference quotient (also known as the derivative) exists at every point in the function's domain. This can be done using the definition of the derivative or by using other techniques such as the power rule or chain rule.

What is the importance of limits in proving the properties of differentiable functions?

Limits play a crucial role in proving the properties of differentiable functions because they allow us to analyze the behavior of a function as it approaches a specific point. This is important in determining the existence and value of the derivative at that point, which is essential in proving the differentiability of a function.

What is the significance of convexity in differentiable functions?

Convexity is an important property of differentiable functions because it allows us to determine the shape of the function's graph. A convex function is one that curves upward, and this property is closely related to the increasing nature of the function's derivative. Proving convexity can also help in optimizing functions and finding the minimum or maximum values.

Can a function be differentiable but not convex?

Yes, it is possible for a function to be differentiable but not convex. This can happen when the function has a point where the derivative is zero or undefined, resulting in a flat or discontinuous portion of the graph. In this case, the function may still be smooth and have a well-defined derivative, but it will not have the characteristic upward curve of a convex function.

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