In the math optimization problem, the method of Lagrange multipliers is used as a tool for finding the local minima and maxima of a function subject to equality constraints. An example involves finding the maximum entropy distribution subject to given constraints.
This is best explained with an example. Let's say we have to maximize K (x, y) = -x2 -y2 subject to y = x + 1.
The constraint function is g (x, y) = x-y+1=0. The L multiplier then becomes this:
Differentiating with respect to x, y, and lambda, and setting to 0 we get the following:
Solving the preceding equations, we get x=-0.5, y=0.5, lambda=-1.