Show that $$\sum{\frac{x^n}{(1+x^n)^n}}$$ converges uniformly on $[0,1].$
I am sorry but for this exercise I got exactly nothing. It seems to be difficult.
Show that $$\sum{\frac{x^n}{(1+x^n)^n}}$$ converges uniformly on $[0,1].$
I am sorry but for this exercise I got exactly nothing. It seems to be difficult.
This problem has already been asked in the American Mathematical Monthly (number of the problem 10840 in the volume 107, number 7, December 2000, page 950) and a solution can be found in the volume 109, number 4 (April 2002), pages 398-399 of the American Mathematical Monthly.
EDIT: I did quite a basic mistake in the determination of the nth term... Sorry for the answer, which is quite wrong... I put a stop where it is completely off the mark.
Good question, quite interesting. Sorry for the non-LateX writing, but I did not write math LateX since a very long time.
The uniform convergence can be proven with the Cauchy criterion.
In that case, since all terms are positive, the criterion can be reduced to $\sum_{k=N}^{\infty}\frac{x^k}{(1+x^k)^k}$ and show that $\forall \epsilon$ chosen, there can be a N for which, $\forall x$ between 0 and 1, this Sum is < $\epsilon$.
Basically, we are reduced to study the function $F_{k}(x)=\frac{x}{1+x^k}$... To study the derivative is to study the function $G_{k}(x)=x^k-kx+1$. This is fairly easy to show that: for each k>2 there is a 0 for G between 0 and 1 (we note $a_{k}$).
EDIT: This is wrong from now on. We can show that $a_{k}$ ~ $1/k$ for k big enough.
Each term $F_{k}(a_{k})$ ~ $1/k$ as well, for k big enough. Hence, for N big enough, every $F_{k}(x) < 1/2$.
It is straightforward to then see that the Sum of all the terms can be found < $\epsilon$, $\forall x$... Since $\sum_{k=N}^{\infty}\frac{1}{2^k}$ is bigger than the initial sum and can be found as small as we want.
If someone could format it better in math formulas, that would be great... I will try it in the meanwhile.