Question: AEB 3 5 1 0 : Problem Set # 8 - Optimization of multivariate functions 1 m a x x 1 , x 2 f

AEB 3510: Problem Set #8- Optimization of multivariate functions
1
maxx1,x2f(x1,x2)=160x1-3x12-2x1x2-2x22+120x2-18
(a) Find the stationary point(s) that satisfy the first-order necessary conditions for a relative maximizer.
(b) Using the second-order partial derivatives, confirm that the stationary point(s) is (are) a relative maximizer.
maxx1,x2f(x1,x2)=42x1-4x12-2x1x2+18x2-32x22
(a) Find the stationary point(s) that satisfy the first-order necessary conditions for a relative maximizer.
(b) Take the second-order (direct) partial derivatives to confirm that the stationary point(s) is (are) a relative maximizer.
Suppose you are a rational, utility maximizing consumer trying to determine how to spend your money between purchasing Taylor Swift songs off iTunes (t) and other goods (x). You have a Cobb-Douglas utility function given by u(t,x)=t0.15x0.85. You have a fixed amount of money ($2,000) to spend on these two goods. Suppose the Taylor Swift songs cost $1.50 on iTunes, and the price of all other goods are normalized at $1.
AEB 3 5 1 0 : Problem Set # 8 - Optimization of

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