It's a try to find a closed form to the minimum of the function : Let $0<x<1$ then define : $$g(x)=x^{2(1-x)}+(1-x)^{2x}$$ Denotes $x_0$ the abscissa of the minimum .
Miraculously using Slater's inequality for convex function I have found that :
Define $f(x)=x^{2(1-x)}$ then :
$$\lim_{x\to x_0}\Bigg(0.5+\frac{(x-1)f'(x)-xf'(1-x)}{f'(x)+f'(1-x)}\Bigg)=0$$
And by the definition of the derivative :
$$\lim_{x\to x_0}g'(x)=0$$
For the first limit see here to compare with the second limit see here
My question :
With these two equations can we hope to find a nice closed form ?
Any helps is greatly appreciated
Thanks in advance because it's a hard nut .
Little update
Well I have got a down-vote there is no mistake if we use natural logarithm for the first limit .
Partial results since I am still working the problem.
Using the Inverse Symbolic Calculator, the point $x_*$ where the derivative cancels seems to be very close to $$x_*=10 \,(\gamma \, K_1(1)){}^{\Gamma \left(\frac{1}{4}\right)}$$ which numerically is $$x_*=0.216453828\qquad \implies g(x_*)=0.99066450008687554$$ while the exact results are $$x_*=0.216453839\qquad \implies g(x_*)=0.99066450008687550$$
A much better approximation seems to be $$x_*=\frac{97+800 e-307 e^2}{-263-205 e+113 e^2}$$ which is in an absolute error of $2.87 \times 10^{-19}$; for this value, $g(x_*)$ is in an absolute error of $2.76 \times 10^{-28}$.