A monopolist w11ishes to maximize total revenue. She produces two outputs, (x1, x2) and faces the following demands for her products,
X1 = 20 – 2p1, and
X2 = 20 – 4p2
Where p1 and p2 are, respectively, the prices of the two goods.
To produce one unit of x1 the monopolist must use one unit of land and one unit of capital. And, to produce one unit of x2 requires two units of land and one unit of capital. The firm has available 10 units of land and 6 units of capital.
Specify the firm’s short-run maximization problem.
Set up the Kuhn-Tucker conditions for maximization (you do not need to solve).
Assume that the solution is x*1 = 5 1/3 (i.e. 16/3) and x*2 = 2/3. Explain which constraints are binding and whether the Lagrange multipliers are positive or zero and what they mean.
Given:
"X_1 = 20 \u2013 2p_1 \\\\\n\np_1 = 10 - 0.5X_1\\\\\n\nX_2 = 20 \u2013 4p_2\\\\ \n\np_2 = 5 - 0.25X_2"
To produce x1 the monopolist must use = one unit of land and one unit of capital.
To produce one unit of x2 requires = two units of land and one unit of capital.
Land (L) = 10 units
Let cost of land be CL
Capital (K) = 6 units
Let cost of land be CK
Part a
Total Revenue of good "X_1 (TR1) = P_1 X_1"
"TR1 = 10X_1 - 0.5X_1^2"
Total Revenue of good "X_2(TR2) = P_2 X_2"
"TR2 = 5X_2 - 0.5X_2^2"
"Total\\space Revenue (TR) = TR1+ TR2\\\\\n\nTR = 10X_1 - 0.5X_1^2 + 5X_2 - 0.25X_2^2"
When the land and labor is divided amongst good 1 and good 2.
Good 1 uses 2 units of land and 2 units of capital
Good 2 uses 8 units of land and 4 units of capital
Thus, 2 units of x1 is produced and 4 units of x2 is produced.
In this way the inputs are fully exhausted.
"Total \\space cost\\space for\\space x_1 (TC1) = 2C_L + 2C_K\\\\ \n\nTotal \\space cost\\space for\\space x_2 (TC2) = 8C_L + 2C_K\\\\ \n\nTotal \\space Cost (TC) = TC1+ TC2\\\\\n\nTC =2C_L + 2C_K + 8C_L + 2C_K\\\\ \n\nTC = 10C_L + 4C_K"
The firm’s short-run maximization problem:
"TR = 10\\times 2 - 0.5\\times 22 + 5\\times 4 - 0.25\\times 4^2 = 34\\\\\n\nProfit = TR - TC\\\\\n\nProfit = 34 - 10C_L - 4C_K"
part b.
"Max\\space TR = 10X_1 - 0.5X_1^2 + 5X_2 - 0.25X_2^2\\\\ \n\nSubject \\space to:\\\\ \n\nL\u226410\\\\K\u22646"
The Kuhn-Tucker conditions for maximization:
"KT = 10X_1\u2212 0.5X_1^2 + 5X_2 \u2212 0.25X_2^2\u2212\u03bb_1 (L\u221210)\u2212\u03bb_2 (K\u22126)"
part c.
"x^*_1 = \\frac{16}{3}\\\\ and\\\\ x^*_2 = \\frac{2}{3}."
Constraints L and K both are binding as there is a perfect mix of them and they can be used together in the quantities given. Units of L is 10 and units of capital is 6.
The Lagrange multipliers are positive and here it is used to find local maxima in this case.
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