I am new to Lagrange multipliers. Could some one show me how to minimize the following function: \begin{align} f(x,y)=ax+by-\sqrt{cxy} \end{align} subject to: \begin{align} 0 &\le x\\ 0 &\le y \\ ax &\le k y \end{align}
2026-03-27 23:30:48.1774654248
Optimization with Lagrange multipliers
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HINT
When a constrain in an inequality ($\leq,\geq$) you should do the following:
If we proceed that way in this problem, we'll have the following:
1) Let's find the critical points of $f(x,y)$ that meet $ax<ky$: $$\begin{array}{rcl} \nabla f(x,y)&=&\vec{0}\\ \Rightarrow a-\frac{\sqrt{cy}}{2\sqrt{x}}&=&0\\ b-\frac{\sqrt{cx}}{2\sqrt{y}}&=&0\\ &&\\ \Rightarrow 2a\sqrt{x}-\sqrt{cy}&=&0\\ -\sqrt{cx}+2b\sqrt{y}&=&0\\ \end{array}$$
Using substitution $u=\sqrt{x},\,v=\sqrt{y}$: $$\begin{array}{rcl} \Rightarrow 2au-\sqrt{c}v&=&0\\ -\sqrt{c}u+2bv&=&0\\ \end{array}$$
The linear equation system has determinant $4ab-c$. You'll need conditions on $a,b,c$ to verify if the system has only one solution $4ab\neq c$) or infinite ($4ab=c$).
a) If the system has only one solution, it is obviously $x=y=0$.
b) If the system has infinite solutions, the solutions are given by the base $(\frac{2a}{\sqrt{c}},1)_{u,v}=(\frac{4a^2}{c},1)_{x,y}$ intersecting the region $ax<ky$.
2) Now we use Lagrange multipliers with $ax-ky=0$: $$\begin{array}{rcl} L(x,y,\lambda)&=&f(x,y)-\lambda g(x,y)\\ &=&ax+by-\sqrt{cxy}-\lambda(ax-ky)\\ &=&ax+by-\sqrt{cxy}-\lambda ax-\lambda ky \end{array}$$
Then $$\begin{array}{rclcc} \nabla L(x,y,\lambda)&=&0&&\\ \Rightarrow \nabla f(x,y)&=&\lambda\nabla g(x,y)&&\\ \Rightarrow a-\frac{\sqrt{cy}}{2\sqrt{x}}&=&\lambda a&&(1)\\ b-\frac{\sqrt{cx}}{2\sqrt{y}}&=&-\lambda k&&(2)\\ ax-ky&=&0&&(3)\\ \end{array}$$
Using $(3)$ in $(2)$, $$\begin{array}{rclcc} 2a(1-\lambda)\sqrt{x}&=&\sqrt{c}\sqrt{y}&&(4)\\ 2\biggl(b+\lambda\frac{ax}{y}\biggr)\sqrt{y}&=&\sqrt{c}\sqrt{x}&&(5)\\ \end{array}$$
I think you can solve the equation system from here.
I hope you find this useful. I also think that you would need to impose some assumptions on $a,b,c,k$ to get "closed" solutions. Good luck!