Tricky Production Function Optimisation

In summary: LL = (1/2)^3 * K = 2K/3In summary, in order to achieve the maximum level of profit in a firm operating in perfect competitive markets with a production function of Q = K^(1/3)*L^(1/3), where capital costs are $2 per unit and labour costs are $1 per unit, the optimal values of K and L are K = (1/2)^3 * L and L = (1/2)^3 * K = 2K/3.
  • #1
paddy1
1
0
Suppose that a firm in perfect competitive markets has the following production function:
1 1
Q = f (K,L) = K^(1/3)*L^(1/3) ,
where Q,K and L denote the production level, capital inputs and labour inputs.

The firm's cost function is given by
TC = r*K + w*L ,
where r is the costs of using each unit of capital and w is the costs of using each unit of labour.

Suppose that capital costs are $2 per unit, that is r=$2 , labour costs are $1 per unit, that is w=$1 and the product sells at $3 per unit.

Solve for the optimal value of K and L that achieves the maximum level of
profit.
 
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  • #2
Let P be the profit.
P = TR - TC
= 3Q - (2K + L)
= 3(K^(1/3)*L^(1/3)) - (2K + L)
= 3(K^(1/3)*L^(1/3)) - 2K - L

We want to maximize P, so we take the partial derivatives of P with respect to K and L and set them to zero.

dP/dK = 0
=> 3*(1/3)*K^(-2/3)*L^(1/3) - 2 = 0
=> K^(-2/3)*L^(1/3) = 2/3
=> K = (2/3)^3 * L

dP/dL = 0
=> 3*(1/3)*K^(1/3)*L^(-2/3) - 1 = 0
=> K^(1/3)*L^(-2/3) = 1/3
=> K = (1/3)^3 * L

Comparing these two results, we see that K = (2/3)^3 * L = (1/3)^3 * L.

Therefore, the optimal value of K and L that achieves the maximum level of profit is:
K =
 

FAQ: Tricky Production Function Optimisation

What is a production function?

A production function is a mathematical representation of how inputs (such as labor and capital) are converted into outputs (such as goods and services) by a firm or industry.

What makes production function optimisation tricky?

Production function optimisation can be tricky because it involves finding the optimal combination of inputs that will result in the maximum output, while considering various constraints, such as resource availability and production costs.

How is production function optimisation typically approached?

Production function optimisation is typically approached using mathematical techniques, such as calculus and linear programming, to find the optimal values of input variables that will result in the maximum output.

What are some common challenges in production function optimisation?

Some common challenges in production function optimisation include identifying all relevant inputs and their relationships to outputs, dealing with uncertainty and changing market conditions, and accurately estimating input and output values.

How can production function optimisation benefit businesses?

By optimizing their production function, businesses can increase their efficiency and profitability, reduce costs, and improve their competitiveness in the market.

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