If $xy=10$ then what is the minimum value of $12x^2+13y^2$?
What should the general approach be in these type of problems?
When you search an extremum relatively to a condition you can also use Lagrange multipliers.
Search minimum of $f(x,y)=12x^2+13y^2$ given condition $g(x,y)=xy-10=0$
Then $\lambda\Delta g=\lambda(y,x)=\Delta f=(24x,26y)$
And you'll find $\lambda^2xy=24\times 26\times xy$ or $\lambda=4\sqrt{39}$
From there you can find that the minimum is reached for $12x^2=13y^2$ with value $\lambda xy=40\sqrt{39}$
With $$y=\frac{10}{x}$$ you will get $$f(x)=12x^2+13\left(\frac{10}{x}\right)^2$$
Rescaling:
$u:=\sqrt{12}x$; $v:=\sqrt{13}y.$
We look for the maximum of
$u^2 +v^2$ with constraint
$uv =(10)\sqrt{(12)(13)}$:
$u^2+v^2 \ge 2|uv| = (20)2\sqrt{39}.$
Used:
$u^2+ v^2 \ge 2|uv|.$
Can you prove the above inequality?
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When you search an extremum relatively to a condition you can also use Lagrange multipliers.
Search minimum of $f(x,y)=12x^2+13y^2$ given condition $g(x,y)=xy-10=0$
Then $\lambda\Delta g=\lambda(y,x)=\Delta f=(24x,26y)$
And you'll find $\lambda^2xy=24\times 26\times xy$ or $\lambda=4\sqrt{39}$
From there you can find that the minimum is reached for $12x^2=13y^2$ with value $\lambda xy=40\sqrt{39}$