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This document delves into the concept of unconstrained optimization within the field of mathematical economics. It provides examples and exercises to illustrate the application of optimization techniques in economic contexts. Topics such as finding production levels that maximize profit, analyzing sufficient conditions for maximum and minimum points, and exploring convex and concave functions. It also includes references to specific pages in a textbook for further exploration.
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See p. 692-693. Solve the problems on p. 694.
0
0
2
2
11 22 11 22 12
f ( , x y ) 0, f ( , x y ) 0, f ( , x y f ) ( , x y ) ( f ( , x y )) 0
then (x 0
,y 0
) is a maximum point for f(x,y) in S.
(b) If for all (x,y) in S,
2
11 22 11 22 12
f ( , x y ) 0, f ( , x y ) 0, f ( , x y f ) ( , x y ) ( f ( , x y )) 0
then (x ,y ) is a minimum point for f(x,y) in S.