Final answer:
The Lagrangian function for the constrained optimization problem is L(c, n, A) = (c ^ (1 - sigma))/(1 - sigma) - (n ^ (1 + phi))/(1 + phi) + A(wn - pc). The first order conditions allow us to find the values of c, n, and A in terms of w, p, sigma, and phi. Finally, we can evaluate the objective function u at the maximum c and n by substituting the values into the function.
Step-by-step explanation:
a. The Lagrangian function for the constrained optimization problem is L(c, n, A) = (c ^ (1 - sigma))/(1 - sigma) - (n ^ (1 + phi))/(1 + phi) + A(wn - pc).
b. The first order conditions of the Lagrangian problem are:
∂L/∂c = (c ^ (-sigma)) - A * p = 0
∂L/∂n = (-n ^ phi) + A * w = 0
∂L/∂A = wn - pc = 0
c. Solving these equations, we can find the values of c, n, and A in terms of w, p, sigma, and phi.
d. To find the value of the objective function u at the maximum c and n, we substitute the values of c and n into the objective function.