max x+ y2 + z² subject to x2 + y² + 4z² == 1 and x+3y + 2z = 0

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 92E
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er Hammond,Atle Seierstad,Ar.
CHAPTER 3 I STATIC OPTIMIZATION
5. (a) Solve the problem max 1 -rx? – y² subject to x + y = m, withr > 0.
(b) Find the value function f*(r, m), compute af*/ar and af"/əm and verify (15).
SM 6. (a) Solve the problem
max x² + y² + z? subject to x² + y² + 4z² = 1
and x+3y + 2z = 0
(b) Suppose we change the first constraint to x² + y² + 4z? = 1.05 and the second constraint
to x +3y + 2z = 0.05. Estimate the corresponding change in the value function.
7. (a) In Example 4 let U(x)
constants with L=1¤j
Lj=1 aj In(x; – aj), where a;, aj, Pj, and m are all positive
Li=1 Piaj. Show that if x* solves problem
(16), then the expenditure on good j is the following linear function of prices and income
1, and with m >
Pjx; = ajm + Pjaj – aj 2 Pia¡,
j = 1,2, ..., n
dy
Transcribed Image Text:%0 + 69 / 310 er Hammond,Atle Seierstad,Ar. CHAPTER 3 I STATIC OPTIMIZATION 5. (a) Solve the problem max 1 -rx? – y² subject to x + y = m, withr > 0. (b) Find the value function f*(r, m), compute af*/ar and af"/əm and verify (15). SM 6. (a) Solve the problem max x² + y² + z? subject to x² + y² + 4z² = 1 and x+3y + 2z = 0 (b) Suppose we change the first constraint to x² + y² + 4z? = 1.05 and the second constraint to x +3y + 2z = 0.05. Estimate the corresponding change in the value function. 7. (a) In Example 4 let U(x) constants with L=1¤j Lj=1 aj In(x; – aj), where a;, aj, Pj, and m are all positive Li=1 Piaj. Show that if x* solves problem (16), then the expenditure on good j is the following linear function of prices and income 1, and with m > Pjx; = ajm + Pjaj – aj 2 Pia¡, j = 1,2, ..., n dy
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