Gfyuki

Let $f:mathbb{R}to mathbb{R}$ be a continuously differentiable function. Prove that for any $a.bin mathbb{R}$
$$left (int_a^bsqrt{1+(f'(x))^2},dxright)^2ge (a-b)^2+(f(b)-f(a))^2$$.

i think mean value theorem kills it but can't do it ...even try cauchy-schwarz inequality but nothing conclution

Note that for every complex valued integrable function $phi :[a,b]to Bbb C$, it holds that
$$
left|int_a^b phi(x) dxright|le int_a^b|phi(x)| dx.
$$ Let $phi(x)=1+if'(x)$. Then we can see that
$$begin{align*}
left|int_a^b phi(x) dxright|&=left|(b-a)+i(f(b)-f(a))right|\&=sqrt{(b-a)^2+(f(b)-f(a))^2}
end{align*}$$ and
$$
int_a^b|phi(x)| dx=int_a^b sqrt{1+(f'(x))^2} dx.
$$ Now, the desired inequality follows.

Notice that the function $y mapsto sqrt{1+y^2}$ is strictly convex. So by the Jensen's inequality,

$$ frac{1}{b-a} int_{a}^{b} sqrt{1 + f'(x)^2} , mathrm{d}x geq sqrt{1 + left(frac{1}{b-a}int_{a}^{b} f'(x) , mathrm{d}xright)^2} = sqrt{1 + left(frac{f(b) - f(a)}{b-a} right)^2}. $$

Multiplying both sides by $b-a$ and squaring proves the desired inequality. Moreover, by the strict convexity, the equality holds if and only if $f'$ is constant over $[a, b]$.

An easy way to do this is to note that since distance is invariant under rotations, without loss of generality, we may assume that $f(a)=f(b).$ And now, since $sqrt{1-f'(x)}ge 0$ on $[a,b]$, the function in $C^1([a,b])$ that minimizes the integral coincides with the function $f$ that minimizes the integrand, and clearly, this happens when $f'(x)=0$ for all $xin [a,b].$ That is, when $f$ is constant on $[a,b].$ Then, $f(x)=f(a)$ and the result follows.

If you want to do this without the wlog assumption, then argue as follows:

Let $epsilon>0, fin C^1([a,b])$ and choose a partition $P={a,x_1,cdots,x_{n-2},b}$.

The length of the polygonal path obtained by joining the points

$(x_i,f(x_i))$ is $sum_i sqrt{(Delta x_i)^2+(Delta y_i)^2}$ and this is clearly $ge (b-a)^2+(f(b)-f(a))^2$. (You can make this precise by using an induction argument on $n$.)

And this is true for $textit{any}$ partition $P$.

But the above sum is also $sum_isqrt{1+frac{Delta y_i}{Delta x_i}}Delta x_i $ and now, upon applying the MVT, we see that what we have is a Riemann sum for $sqrt{1+f'(x)}$.

To finish, choose $P$ such that $left |int^b_asqrt{1+f'(x)}dx- sum_isqrt{1+f'(c_i)}Delta x_i right |<epsilon $. (The $c_i$ are the numbers $x_i<c_i<x_{i-1}$ obtained from the MVT). Then,

$(b-a)^2+(f(b)-f(a))^2le sum_isqrt{1+f'(c)}Delta x_i<int^b_asqrt{1+f'(x)}+epsilon.$

Since $epsilon$ is arbitrary, the result follows.

For a slick way to do this, use a variational argument: assuming a minimum $f$ exists, consider $f+tphi$ where $t$ is a real parameter and $phi$ is arbitrary $C^1([a,b])$.

Subsitute it into the integral:

$l(t)=int_a^b sqrt{1+(f'+tphi')^2}dx$.

Since $f$ minimizes this integral, the derivative of $l$ at $t=0$ must be equal to zero. Then,

$0=l'(0)= int_a^b dfrac{f'phi'}{sqrt{1+(f')^2}}dx$.

After an integration by parts, we get

$dfrac{f'}{sqrt{1+(f')^2}} = c$ for some constant $cin mathbb R,$ from which it follows that $f'=c$. And this means, of course, that the graph of $f$ is a straight line connecting $(a,f(a))$ and $(b,f(b)).$ The desired inequality follows.

Expanding upon what @Conrad said, the shortest distance between two points is the distance of the line between, which is what your RHS is measuring (it is actually the square of the distance from $(a, f(a))$ to $(b, f(b))$.

Now if we assume $left (int_a^bsqrt{1+(f'(x))^2},dxright)^2 < (a-b)^2+(f(b)-f(a))^2$, then we have contradicted the fact that that the shortest distance between $(a, f(a))$ and $(b, f(b))$ is $sqrt{(a-b)^2+(f(b)-f(a))^2}$. Therefore, it must be the case that $left (int_a^bsqrt{1+(f'(x))^2},dxright)^2 geq (a-b)^2+(f(b)-f(a))^2$