How can I prove that:
if $f: \Bbb R \rightarrow \Bbb R$ is convex and differentiable, such that $y = 0$ is an asymptote for $x \rightarrow \infty$, then $f(x) \ge 0, \forall x \in \Bbb R$
How can I prove that $f(x) \ge 0$ with the Lagrange theorem?
How to prove with Lagrange theorem
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0What do you know about convex functions? Note that the differentiability of $f'$ is not granted. – 2017-01-03
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0it is certainly a decreasing function with asymptote at $y = 0$ as $f(x)= e^{-x}$(example) – 2017-01-03
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0Is differentiability necessary? seems like this should be true in general – 2017-01-13
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0I think it is necessary....can you prove the opposite? – 2017-01-13
3 Answers
This is a possible solution to the problem (but i'd also like to see some of yours):
My Try:
Given the following theorem:
TEO. Is $f$ differentiable in an interval $I$. Then $f$ is concave (convex) in $I$, if and only if $f'$is increasing (decreasing) in I.
For the previous theorem we have that $f'(x)$ it is growing broadly.
So, reasoning by contradiction, we suppose that exists $x_0 \in \Re: f(x) < 0$, then we set $\epsilon = \frac{|f(x)|}{3}$.
For the definition of asymptote $\rightarrow \lim _{x\to \infty \:}\left(f(x)\right)=1$, then by definition of limit, we have that exists $M \in \Re: |f(x)|<\epsilon, \forall x > M$.
At this point, we choose $x_1 > max\{x_0, M\}$, then we set
$$L_1 = \frac{f(x_1)-f(x_0)}{x_1-x_0}$$
Then, we choose $x_2>x_1$ so that $x_2-x_1>x_1-x_0$ from which it follows that:
$$L_2 = \frac{f(x_2)-f(x_1)}{x_2-x_1} \le \frac{2\epsilon}{x_2-x_1}< \frac{2\epsilon}{x_1-x_0}<\frac{f(x_1)-f(x_0)}{x_1-x_0} = L_1$$
where the last inequality follows from the fact that $f(x_0) = -3\epsilon$ and $f(x_1)> -\epsilon$.
So is $L_2
Let $x_0$ such that $y_0 = f(x_0) < 0$ and consider $x_1 > x_0$. I claim that $f(x_1) \leq y_0 < 0$. If this is true, it's a contradiction since $x_1$ was general, which shows that $y=0$ can not be an asymptote.
To prove the claim, assume $f(x_1) > y_0$, so $\frac{f(x_1) - y_0}{x_1 - x_0} > 0$. Note that since $y=0$ is an asymptote ( or, just that there is any horizontal asymptote ), as $x\to \infty$, we have $\frac{f(x)-y_0}{x-x_0} \to 0$, so in particular we can find $x_2 > x_1$ such that $\frac{f(x_2) - y_0}{x_2 - x_0} < \frac{f(x_1)-y_0}{x_1 - x_0}$, which means that $(x_1,f(x_1))$ lies above the line connecting $(x_0,f(x_0))$ and $(x_2,f(x_2))$, which is not possible since $f$ is convex.
Since $f$ is convex, its derivative is nondecreasing. In particular, the limit $$ \lim_{x\to\infty}f'(x) $$ exists (finite or infinite). By l'Hôpital's theorem, $$ \lim_{x\to\infty}f'(x)=\lim_{x\to\infty}\frac{f(x)}{x}=0 $$ Therefore $f'(x)\le0$, for every $x$. Thus $f$ is nonincreasing. Then, if $f(x_0)<0$, for some $x_0$, we have $f(x)\le f(x_0)$, contradicting $$ \lim_{x\to\infty}f(x)=0 $$
Proposition. If $f$ is differentiable and convex over $\mathbb{R}$, then $f'$ is nondecreasing.
Proof. Let $a
Proposition. Let $f$ be differentiable over $\mathbb{R}$. If $f'(x)\le0$, for every $x$, then $f$ is nonincreasing.
Proof. Let $a