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1 Chap. 16 Convex set and optimization A A A 2 1 2 1 ) 1 ( , ) 1 0 ( set convex a is x x x x 2 1 ) 1 ( x x x convex non- convex

Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

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Page 1: Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

1

Chap. 16 Convex set and

optimization

AA

A

2121 )1(,)10(

setconvex a is

xxxx  

21 )1( xxx

convexnon-

convex

Page 2: Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

2

Upper contour set

lower contour set

}),...,,(|),...,,{()( 2121 yxxxfxxxyU n

n

n

Upper contour set

Lower contour set

),..,,( 21 nxxxfy

}),...,,(|),...,,{()( 2121 yxxxfxxxyD n

n

n

U(y)

Page 3: Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

3

upper contour set

lower contour

set

x1

x2

y≤f(x1,x2)

y≥f(x1,x2) y=f(x1,x2)

Page 4: Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

4

upper contour

set

lower

contour set

y=4-(x1-4)2-(x2-3)2

y≤f(x1,x2)

y=f(x1,x2)y≥f(x1,x2)

x1

x2

Page 5: Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

5

upper

contour set

lower contour

set

x2

x1

y≤f(x1,x2)

y≥f(x1,x2)

y=f(x1,x2)

y=-4+(x1-4)2+(x2-3)2

Page 6: Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

6

upper contour

set

lower

contour set

f1>0

f2>0

upper contour set is convex

=quasi-concave function

U(y)

y=f(x1,x2)y≥f(x1,x2)

y≤f(x1,x2)

x1

x2

Page 7: Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

7

upper

contour set

lower

contour set

upper contour set is convex

=quasi-concave function

U(y)

x2

x1

y≤f(x1,x2)

y≥f(x1,x2)

f1<0

f2<0

y=f(x1,x2)

Page 8: Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

8

D(y)

upper

contour set

y≤f(x1,x2)

f1>0

f2>0

y≥f(x1,x2)

lower

contour set

lower contour set is convex

=quasi-convex function

y=f(x1,x2)

x1

x2

Page 9: Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

9

D(y)

upper

contour set

y≤f(x1,x2)

y≥f(x1,x2)

lower

contour set

f1<0

f2<0

y=f(x1,x2)

x1

x2

lower contour set is convex

=quasi-convex function

Page 10: Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

10

y=f(x)

hypograph

x

y

hypo graph is a convex set

=a concave function

hypo graph = set of (x,y) which

satisfies y≤f(x)

y≤f(x)

Page 11: Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

11

y=f(x)

y≥f(x)

epigraphe

x

y

epigraphe is a convex set

=a convex function

epigraphe = set of (x,y) which

satisfies y≥f(x)

Page 12: Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

12

The semi- concavity function,

the semi- convexity functionmultivariable function y=f(x)

concave-quasi is )(xfy

yyU any for set convex a is )(

)( nx

convex-quasi is )(xfy

yyD any for set convex a is )(

Page 13: Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

13

The necessary and sufficient

condition of quasi-concavity

)10(

concave-quasi is )(xfy

)())1(()()( 22121 xxxxx ffff

yfyfyU )( ,)()(, 2121 xxxx

yff )())1(( 221 xxx )(yU x

yff )()( Suppose 21 xx

Page 14: Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

14

Strictly quasi-concave functions,

strictly quasi-convex functions

][

convex-quasi (strictly) is )(xfy

)())1(()()( 22121 xxxxx ffff

concave-quasistrictly is )(xfy

)())1(()()( 22121 xxxxx ffff

)10(

)10(

Page 15: Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

15

21 )1( xx 1x

2x

Page 16: Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

16

Strictly quasi-concave functions

and marginal rate of substitution

2

1

1

2heoremfunction timplicit By thef

f

dx

dx

0

concave-quasistrictly is ),(

2

21

f

xxfy

decreasing is slope the

of absolute the)( of lineborder On the

1

2

dx

dx

yU

Page 17: Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

17

1

2

2

1

22

1

12

1

11

2

1 dx

dx

f

f

xf

f

xf

f

dx

d

dx

dx

dx

d

2

1

2

2

221212

2

2

211211

)()( f

f

f

ffff

f

ffff

0)(

2

)( 3

2

2112

2

122

2

211

3

2

22

2

112122211

2

211

f

fffffff

f

ffffffffff

Strictly quasi-concave functions

and marginal rate of substitution

Page 18: Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

18

02

concave-quasistrictly is ,0 If

2

122

2

2112121

2

fffffff

ff

 

 

,0 with ,0 If1

2

1

2   

dx

dx

dx

df

02

concave-quasistricly is

2

122

2

2112121 fffffff

f

 

 

0)(

23

2

2112

2

122

2

211

f

fffffff

Necessary and sufficient conditions

for strictly quasi-concave functions

Page 19: Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

19

Strictly quasi-concave functions

The slope approaches

0 as x1 goes up.

The slope increases

as x1 goes up.

f1<0

f2<0f1>0

f2>0

Page 20: Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

20

Necessary and sufficient conditions

for strictly quasi- concave, quasi-

convex functions

02

concave-quasistrictly is

2

122

2

2112121 fffffff

f

02

concave-quasi is

2

122

2

2112121 fffffff

f

 

 

02

convex-quasi (strictly) is

2

122

2

2112121 fffffff

f

 

 

][

Page 21: Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

21

Quasi- concavity of concave functions

)10(,, 21 xx

concave-quasiconcave is )( xfy

)()1()())1(()( 2121 xxxxx ffff

yfyfyU )()()(, 2121 xxxx  

yyyfff )1()()1()()( 21 xxx

)(yU x

convex-quasiconvex is )( xfy

Page 22: Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

22

Quasi-concavity of Cobb-Douglas

functionLAKLKF ),( 0,, A

LAKLKFQ ),(

1

),(

A

QKQKhL

1

1

12

),(

A

QK

K

QKhRTS

The iso-quant curve

Page 23: Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

23

1

1

12

),(

A

QK

K

QKhRTS

01),(

1

2

2

2

A

QK

K

QKh

always quasi-concave

0)1( 22222 LKA

22222222})1()1({ LKAFFF KLLLKK

convex1

Quasi-concavity of Cobb-Douglas

function

Page 24: Chap. 16 Convex set and optimization1 Chap. 16 Convex set and optimization A A A (0 1) 1, 2 1 (1 ) 2 is a convex set O O x x Ox O x x O { Ox 1 (1 O) x 2 convex non-convex

24

It mediates between Cobb-

Douglas function.

LAKLKF ),( 0,, A

always quasi-concave

scale return to increasing1

scale return toconstant 1

concave

scale, return to decreasing1