Find the minimum e max distance (in $R^2$) ) between the point $Q = ( 3/ 2 , − 3/ 2 )$ and the set $$B = \{(x, y) ∈ R^2 : yx = 1, x ≥ 0, y ≥ 0\}$$
In other words I have to find max /min points of the function
$${(x-3/2)^2 + (y+3/2)^2}$$
The set $B$ is clearly neither bounded nor convex. If I use Lagrange I can only find local min/max, but how do I show they are global? In a previous question :Does the following function admit a maximum? you suggested me to maximize/minimize the $x$ component and the $y$ component independently, but it is not clear to me if I can do it in this exercise as well. It seens to me that choosing $x=3/2$, which clearly minimizes the first component of the sum, would restrict the choice of $y$ as $yx = 1 $.
Is there any way to show that the point found using lagrange is a global min? Possibly without using the bordered hessian method?
Lets say y->0 and x->$\infty$ then value of above expression -> $\infty$ (so yeah no maximum).
$(x-\frac{3}{2})^2 +(y+\frac{3}{2})^2$(You have made a mistake here or given the point wrong) = $x^2 +y^2 +\frac{9}{2} + 3(y-x) = z^2 +3z +\frac{13}{2}$.
(as $x=\frac{1}{y}$, $(y-\frac{1}{y})$=z, z can be any real number , the quadratic equation have its minimum at $\frac{-3}{2}$ which is the required answer)
So minimum value is $\sqrt{\frac{17}{4}}$