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Chapter 1 LINEAR COMPLEMENTARITY PROBLEM, ITS ...

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42 <strong>Chapter</strong> 1. Linear Complementarity Problem, Its Geometry, and Applications<br />

Since A, B are strictly positive matrices, x T Ay and x T By are strictly positivenumbers.<br />

Let = x=(x T By) and = y=(x T Ay). Introducing slack variables corresponding to<br />

the inequality constraints, (1.41) is equivalent to<br />

8<br />

9<br />

8<br />

>: u><br />

; >: 0 A<br />

v BT 0<br />

8<br />

>: u<br />

9 8<br />

> ><br />

v =<br />

0<br />

9<br />

> 8 >: 9 8<br />

> = >: ;em<br />

9<br />

><br />

;eN<br />

>: 9 8 9<br />

> ><br />

=<br />

0 > T 8<br />

>: 9 > =0:<br />

>: u<br />

v<br />

(1:42)<br />

Conversely, it can easily be shown that if (u v ) is a solution of the LCP (1.42) then<br />

an equilibrium pair of strategies for the original game is (x y) wherex = =( P i)and<br />

y = =( P j). Thus an equilibrium pair of strategies can be computed by solving the<br />

LCP (1.42).<br />

Example 1.9<br />

Consider the game in which the loss matrices are<br />

A 0 =<br />

8<br />

>:<br />

9<br />

1 1 0><br />

B<br />

0 1 1<br />

0 =<br />

8<br />

>:<br />

9<br />

;1 1 0><br />

:<br />

0 ;1 1<br />

Player I's strategy is a probability vector x = (x1x2) T and player II's strategy is a<br />

probability vector y = (y1y2y3) T . Add 1 to all the elements in A 0 and 2 to all the<br />

elements in B 0 , to make all the elements in the loss matrices strictly positive. This<br />

leads to<br />

A =<br />

8<br />

>:<br />

9<br />

2 2 1><br />

B =<br />

1 2 2<br />

The LCP corresponding to this game problem is<br />

Example 1.10<br />

2<br />

6<br />

4<br />

u1<br />

u2<br />

v1<br />

v2<br />

v3<br />

3<br />

7<br />

5 ;<br />

2<br />

6<br />

4<br />

0 0 2 2 1<br />

0 0 1 2 2<br />

1 2 0 0 0<br />

3 1 0 0 0<br />

2 3 0 0 0<br />

8<br />

>:<br />

3 2<br />

7<br />

6<br />

7<br />

6<br />

5<br />

6<br />

4<br />

9<br />

1 3 2><br />

:<br />

2 1 3<br />

1<br />

2<br />

1<br />

2<br />

3<br />

3<br />

7<br />

5 =<br />

2<br />

6<br />

4<br />

;1<br />

;1<br />

;1<br />

;1<br />

;1<br />

u v > = 0 and u1 1 = u2 2 = v1 1 = v2 2 = v3 3 =0:<br />

3<br />

7<br />

5<br />

(1:43)<br />

The Prisoner's Dilemma:<br />

Here is an illustration of a bimatrix game problem from [1.31]. Two well known<br />

criminals were caught. During plea bargaining their Judge urged them both to confess<br />

and plead guilty. He explained that if one of them confesses and the other does not,<br />

the one who confesses will be acquitted and the other one givenasentence of 10 years

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