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Unconstrained Optimization in Mathematical Economics, Lecture notes of Mathematics

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.

Typology: Lecture notes

2024/2025

Uploaded on 01/20/2025

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ECON 3031 Mathematical Economics
ECON 3031 Mathematical Economics
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Unconstrained Optimization
Unconstrained Optimization
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ECON 3031 Mathematical EconomicsECON 3031 Mathematical Economics

I I

Unconstrained Optimization Unconstrained Optimization

See p. 692-693. Solve the problems on p. 694.

Suppose that Q=f(K,L) is a production function with K as the

cprapital input and L as the labor input. The price per unit of

output is P, the cost (or rental) per unit of capital is r, the wage

rate is w. The constants p, r, and w are all positive. The profit π

from producing and selling F(K,L) units is then given by the

function

P ( K L , ) = pF K L ( , ) - rK - wL

Example

Sufficient Conditions for a Max.and Min.

Suppose that (x

0

,y

0

) is a stationary point for C

2

function f(x,y) in a

convex set S.

(a) 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 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.