A firm operates with the production function Q = 4 K^{0.6}L^{0.5} and can buy K at £15 a unit and L at £8 a unit. What input combination will minimize the cost of producing 200 units of output?
The output constraint is 200 = 4K^{0.6}L^{0.5} and the objective function to be minimized is the total cost function TC = 15K + 8L. The corresponding Lagrangian function is therefore
G = 15K + 8L + λ(200 − 4 K^{0.6}L^{0.5} )
Partially differentiating G and setting equal to zero, first-order conditions require
\frac{\partial G}{\partial K } = 15 − λ2.4 K^{-0.4}L^{0.5} = 0 giving \frac{15 K^{0.4}}{2.4L^{0.5}} = λ (1)
\frac{\partial G}{\partial L } = 8 − λ2K^{0.6}L^{-0.5} = 0 giving \frac{4L^{0.5}}{K^{0.6}} = λ (2)
\frac{\partial G}{\partial \lambda } = 200 − 4K^{0.6}L^{0.5} = 0 (3)
Setting (1) equal to (2) to eliminate λ
\frac{15 K^{0.4}}{2.4L^{0.5}} = \frac{4L^{0.5}}{K^{0.6}}
15K = 9.6L
1.5625K = L (4)
Substituting (4) into (3)
200 − 4 K^{0.6}(1.5625K)^{0.5} = 0
200 = 4 K^{0.6}(1.5625)^{0.5} K^{0.5}
\frac{200}{4(1.5625)^{0.5}} = K^{1.1}
40 = K^{1.1}
K = \sqrt[1.1]{40} = 28.603434
Substituting this value into (4)
1.5625(28.603434) = L
44.692866 = L
Thus the optimal input combination is 28.6 units of K plus 44.7 units of L (to 1 dp). We can check that these input values correspond to the given output level by substituting them back into the production function. Thus
Q = 4 K^{0.6}L^{0.5} = 4 (28.6)^{0.6}(44.7)^{0.5} = 200
which is correct, allowing for rounding error. The actual cost entailed will be
TC = 15K + 8L = 15(28.6) + 8(44.7) = £786.60