
Today, I learned a method of finding the conditional extremum of the two-variables function, called the Lagrange multiplier method.
How to use Lagrange Multiplier Method
When we need to know the unconditional extremum of a two-variables, calculating partial derivatives and second derivatives will be useful.
But what if I add a condition $varphi(x,y)=0$?
To solve the problem about the extremum of $f(x,y)$ under $varphi(x,y)=0$, we can construct the Lagrange Function:
Then solve this equation:
All x and y meet with this equation are extreme points meeting $varphi(x,y)=0$.
Proof of Lagrange Multiplier Method
Now consider the function $y=y(x)$ confirmed by $varphi(x,y)=0$, we plug this into $z=f(x,y)$:
Then the two-variables problem is transformed into the single variable problem. Suppose $x_0$ is the extreme point of z, and $y_0=y(x_0)$. Obviously when $x=x_0$(while $y=y_0$):
By using formula of derivation calculus for hidden function we know:
Plug $y_0=y(x_0)$ and (3) into (2), and simplify it:
If we consider $x=x(y)$confirmed by $varphi(x,y)=0$. By the similar way, we can get:
Let $lambda=-dfrac{f’_y(x_0,y_0)}{varphi’_y(x_0,y_0)}=-dfrac{f’_x(x_0,y_0)}{varphi’_x(x_0,y_0)}$. Plug this into (4) and (5). Then we have the following equation:
Obviously $x=x_0$ and $y=y_0$ are the solutions of following equation:
Let $F(x,y,lambda)=f(x,y)+lambdavarphi(x,y)$, we can get (*).
Q.E.D.
If you are puzzled by why $-dfrac{f’_y(x_0,y_0)}{varphi’_y(x_0,y_0)}=-dfrac{f’_x(x_0,y_0)}{varphi’_x(x_0,y_0)}$, you can contact me by email [email protected] . Actually it is a nature of point of tangency, so I didn’t explain it here.




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