1. Prof. Sanjay Christian
JGIBA (Assistant Professor)
M.Phil (Statistics), M.Sc (Statistics) & B.Sc (Statistics)
GAME THEORY
LECTURE 2
2. The Expected payoff to a player in a game with payoff matrix 𝒂𝒊𝒋 of
Order 𝒎 × 𝒏 is given by,
𝑬 𝒑. 𝒒 = 𝒊=𝟏
𝒎
𝒋=𝟏
𝒏
𝒑𝒊 𝒂𝒊𝒋𝒒𝒋 𝒑𝟏, 𝒑𝟐, … … 𝒑𝒎 mixed strategy for player A
𝒒𝟏, 𝒒𝟐, … … 𝒒𝒏 mixed strategy for player B
The value of the game using mixed strategies represents least payoff which
player A can expect to win and least payoff which player B can loose.
Optimal strategy mixture for each player may be obtained, By assigning
probabilities to each strategy of being chosen.
Mixed Strategies: Games without Saddle Point
When there is no saddle point, both players must obtain an optimal
mixture of strategies to find a saddle point.
4. If 01 & 02 points
are not satisfied
then take average
of two or more
pure strategies
and compare with
the remaining
pure strategies &
delete if it is
inferior.
If all the elements
of a column (kth
column) are more
than or equal to
the elements of
the other column
(rth column),
then kth column
is dominated by
rth column.
01
If all the elements
of a row (kth row)
are less than or
equal to the
elements of the
other row (rth
row), then kth
row is dominated
by rth row.
02 03
Dominance Property
Dominance Property is used when the payoff matrix is a profit matrix for the
player A and a loss matrix to player B. Otherwise the principle gets revered.
5. ALGEBRAIC METHOD
Is used to determine probability value by using
different strategies by player A and B
Consider 2 × 2 two person zero sum game without
saddle point having the payoff matrix for player A
𝑎11 𝑎12
𝑎21 𝑎22
𝐵1 𝐵2
𝐴1
𝐴2
Optimum mixed strategy for Player A is 𝑨𝟏, 𝑨𝟐
𝑺𝑨 = 𝒑𝟏, 𝒑𝟐
Optimum mixed strategy for Player B is 𝑩𝟏, 𝑩𝟐
𝑺𝑩 = 𝒒𝟏, 𝒒𝟐
𝒑𝟏 =
𝒂𝟐𝟐 − 𝒂𝟐𝟏
𝒂𝟏𝟏 + 𝒂𝟐𝟐 − 𝒂𝟐𝟏 + 𝒂𝟏𝟐
𝒑𝟐 = 𝟏 − 𝒑𝟏 𝒒𝟐 =
𝒂𝟐𝟐 − 𝒂𝟏𝟐
𝒂𝟏𝟏 + 𝒂𝟐𝟐 − 𝒂𝟐𝟏 + 𝒂𝟏𝟐
𝒒𝟏 = 𝟏 − 𝒒𝟐
𝑽𝒂𝒍𝒖𝒆 𝒐𝒇 𝒕𝒉𝒆 𝑮𝒂𝒎𝒆: 𝑽 =
𝒂𝟏𝟏𝒂𝟐𝟐 − 𝒂𝟏𝟐𝒂𝟐𝟏
𝒂𝟏𝟏 + 𝒂𝟐𝟐 − 𝒂𝟐𝟏 + 𝒂𝟏𝟐
6. Solve the following game.
Player B
𝐁𝟏 𝐁𝟐 𝐁𝟑 𝐁𝟒
Player A
𝐀𝟏 5 1 7 4
𝐀𝟐 9 4 15 6
𝐀𝟑 0 5 3 9
𝑨𝟒 5 0 10 4
Answer:
3
Player B
𝐁𝟏 𝐁𝟐 𝐁𝟑 𝐁𝟒
Player A
𝐀𝟏 5 1 7 4
𝐀𝟐 9 4 15 6
𝐀𝟑 0 5 3 9
𝑨𝟒 5 0 10 4
Row
Minimum
1
4
0
0
Column
Maximum
9 5 15 9
Here,
From Row Minimum, we find Maximum Value i.e.,
Maxi-Min=4
and
From Column Maximum, we find Minimum Value
i.e., Mini-Max=5
𝑴𝒂𝒙𝒊. 𝒎𝒊𝒏 ≠ 𝑴𝒊𝒏𝒊. 𝒎𝒂𝒙
Saddle point does not exist.
As Saddle Point does not exist, the player will use Mixed Strategies.
7. 5 1 7 4
9 4 15 6
0 5 3 9
5 0 10 4
Now we reduce the size of the matrix
by using Dominance Property.
Step : 1 Elements of 1st Row is less than 2nd Row and
hence 1st Row is dominated by 2nd Row.
9 4 15 6
0 5 3 9
5 0 10 4
Step : 2 Elements of 3rd Column is more than 1st
Column and hence 3rd Column is dominated by 1st
Column
9 4 6
0 5 9
5 0 4
Step : 3 Elements of 3rd Row is less than 1st Row and
hence 3rd Row is dominated by 1st Row.
9 4 6
0 5 9
Step : 4 Elements of 3rd Column is more than 2nd
Column and hence 3rd Column is dominated by
2nd Column
9 4
0 5
𝒂𝟏𝟏 𝒂𝟏𝟐
𝒂𝟐𝟏 𝒂𝟐𝟐
10. Two companies are competing for business under the conditions so that one
company’s gain is another company’s loss. The following payoff in lakhs is derived by
company A for different strategies used for advertisements.
4 Company A
Company B
No advertising Medium advertising Heavy advertising
No advertising 5 1 -7
Medium advertising 8 7 8
Heavy advertising 11 9 5
Suggest optimal strategies for the two companies.
Answer:
Player B
𝐁𝟏 𝐁𝟐 𝐁𝟑
Player A
𝐀𝟏 5 1 -7
𝐀𝟐 8 7 8
𝐀𝟑 11 9 5
Here,
From Row Minimum we find Maximum Value
i.e., Maxi-Min=7
and
From Column Maximum we find Minimum Value
i.e., Mini-Max=8
𝑴𝒂𝒙𝒊. 𝒎𝒊𝒏 ≠ 𝑴𝒊𝒏𝒊. 𝒎𝒂𝒙
Saddle point does not exist,
Row
Minimum
-7
7
5
Column
Maximum
11 9 8
As Saddle Point does not exist, the player will use Mixed Strategies.
11. 5 1 -7
8 7 8
11 9 5
Now we reduce the size of the matrix
by using Dominance Property.
Step : 1 Elements of 1st Row is less than 2nd Row and
hence 1st Row is dominated by 2nd Row.
Step : 2 Elements of 1st Column is more than 2nd
Column and hence 1st Column is dominated by 2nd
Column
𝒂𝟏𝟏 𝒂𝟏𝟐
𝒂𝟐𝟏 𝒂𝟐𝟐
7 8
9 5
8 7 8
11 9 5
14. Solve the following Game.
5
Answer:
Player B
𝐁𝟏 𝐁𝟐 𝐁𝟑
Player A
𝐀𝟏 9 8 -7
𝐀𝟐 3 -6 4
𝐀𝟑 6 7 -7
Here,
From Row Minimum we find Maximum Value
i.e., Maxi-Min=-6
and
From Column Maximum we find Minimum Value
i.e., Mini-Max=4
𝑴𝒂𝒙𝒊. 𝒎𝒊𝒏 ≠ 𝑴𝒊𝒏𝒊. 𝒎𝒂𝒙
Saddle point does not exist,
Row
Minimum
-7
-6
-7
Column
Maximum
9 8 4
As Saddle Point does not exist, the player will use Mixed Strategies.
𝟗 𝟖 −𝟕
𝟑 −𝟔 𝟒
𝟔 𝟕 −𝟕
15. 9 8 -7
3 -6 4
6 7 -7
Now we reduce the size of the matrix
by using Dominance Property.
Step : 1 Elements of 3rd Row is less than 1st Row and
hence 3rd Row is dominated by 1st Row.
Step : 2 Elements of 1st Column is more than 2nd
Column and hence 1st Column is dominated by 2nd
Column
𝒂𝟏𝟏 𝒂𝟏𝟐
𝒂𝟐𝟏 𝒂𝟐𝟐
8 -7
-6 4
9 8 -7
3 -6 4
18. Solve the following Game. (Extra Example for Practice).
6
Answer:
Player B
𝐁𝟏 𝐁𝟐 𝐁𝟑
Player A
𝐀𝟏 1 7 2
𝐀𝟐 6 2 7
𝐀𝟑 6 1 6
Here,
From Row Minimum we find Maximum Value
i.e., Maxi-Min=2
and
From Column Maximum we find Minimum Value
i.e., Mini-Max=6
𝑴𝒂𝒙𝒊. 𝒎𝒊𝒏 ≠ 𝑴𝒊𝒏𝒊. 𝒎𝒂𝒙
Saddle point does not exist,
Row
Minimum
1
2
1
Column
Maximum
6 7 7
As Saddle Point does not exist, the player will use Mixed Strategies.
𝟏 𝟕 𝟐
𝟔 𝟐 𝟕
𝟔 𝟏 𝟔
19. 1 7 2
6 2 7
6 1 6
Now we reduce the size of the matrix
by using Dominance Property.
Step : 1 Elements of 3rd Row is less than 2nd Row and
hence 3rd Row is dominated by 2nd Row.
Step : 2 Elements of 3rd Column is more than 1st
Column and hence 3rd Column is dominated by 1st
Column
𝒂𝟏𝟏 𝒂𝟏𝟐
𝒂𝟐𝟏 𝒂𝟐𝟐
1 7
6 2
1 7 2
6 2 7
22. Solve the following game.
(Extra Example for Practice)
Player B
𝐁𝟏 𝐁𝟐 𝐁𝟑 𝐁𝟒
Player A
𝐀𝟏 1 0 2 -2
𝐀𝟐 1 2 0 2
𝐀𝟑 2 0 2 -2
𝑨𝟒 -2 2 -2 1
Answer:
7
Player B
𝐁𝟏 𝐁𝟐 𝐁𝟑 𝐁𝟒
Player A
𝐀𝟏 1 0 2 -2
𝐀𝟐 1 2 0 2
𝐀𝟑 2 0 2 -2
𝑨𝟒 -2 2 -2 1
Row
Minimum
-2
0
-2
-2
Column
Maximum
2 2 2 2
Here,
From Row Minimum, we find Maximum Value i.e.,
Maxi-Min=0
and
From Column Maximum, we find Minimum Value
i.e., Mini-Max=2
𝑴𝒂𝒙𝒊. 𝒎𝒊𝒏 ≠ 𝑴𝒊𝒏𝒊. 𝒎𝒂𝒙
Saddle point does not exist.
As Saddle Point does not exist, the player will use Mixed Strategies.
23. 1 0 2 -2
1 2 0 2
2 0 2 -2
-2 2 -2 1
Now we reduce the size of the matrix
by using Dominance Property.
Step : 1 Elements of 1st Row is less than 3rd Row and
hence 1st Row is dominated by 3rd Row.
1 2 0 2
2 0 2 -2
-2 2 -2 1
Step : 2 Elements of 1st Column is more than 3rd
Column and hence 1st Column is dominated by 3rd
Column
2 0 2
0 2 -2
2 -2 1
Step : 3 Elements of 3rd Row is less than 1st Row and
hence 3rd Row is dominated by 1st Row.
2 0 2
0 2 -2
Step : 4 Elements of 1st Column is more than 3rd
Column and hence 1st Column is dominated by 3rd
Column
0 2
2 -2
𝒂𝟏𝟏 𝒂𝟏𝟐
𝒂𝟐𝟏 𝒂𝟐𝟐
26. Solve the following game.
(Extra Example for Practice)
Player B
𝐁𝟏 𝐁𝟐 𝐁𝟑 𝐁𝟒
Player A
𝐀𝟏 6 8 -16 -10
𝐀𝟐 0 3 -4 2
𝐀𝟑 18 4 10 51
𝑨𝟒 10 2 5 16
Answer:
8
Player B
𝐁𝟏 𝐁𝟐 𝐁𝟑 𝐁𝟒
Player A
𝐀𝟏 6 8 -16 -10
𝐀𝟐 0 3 -4 2
𝐀𝟑 18 4 10 51
𝑨𝟒 10 2 5 16
Row
Minimum
-16
-4
4
2
Column
Maximum
18 8 10 51
Here,
From Row Minimum, we find Maximum Value i.e.,
Maxi-Min=4
and
From Column Maximum, we find Minimum Value
i.e., Mini-Max=8
𝑴𝒂𝒙𝒊. 𝒎𝒊𝒏 ≠ 𝑴𝒊𝒏𝒊. 𝒎𝒂𝒙
Saddle point does not exist.
As Saddle Point does not exist, the player will use Mixed Strategies.
27. 6 8 -16 -10
0 3 -4 2
18 4 10 51
10 2 5 16
Now we reduce the size of the matrix
by using Dominance Property.
Step : 1 Elements of 2nd Row is less than 3rd Row and
hence 2nd Row is dominated by 3rd Row.
6 8 -16 -10
18 4 10 51
10 2 5 16
Step : 2 Elements of 1st Column is more than 3rd
Column and hence 1st Column is dominated by 3rd
Column
8 -16 -10
4 10 51
2 5 16
Step : 3 Elements of 3rd Row is less than 2nd Row
and hence 3rd Row is dominated by 2nd Row.
8 -16 -10
4 10 51
Step : 4 Elements of 3rd Column is more than 2nd
Column and hence 3rd Column is dominated by
2nd Column
8 -16
4 10
𝒂𝟏𝟏 𝒂𝟏𝟐
𝒂𝟐𝟏 𝒂𝟐𝟐
30. Player A and B toss a dice. If even number occurs on both dice, player A gets 8 Rs,
if odd number occurs on both dice, player A gets 6 Rs. If one gets odd and other
gets even, player B gets 5 Rs. Determine the best strategy for each players.
9
Player B
𝑬𝒗𝒆𝒏 𝑶𝒅𝒅
Player A
𝑬𝒗𝒆𝒏
𝑶𝒅𝒅
8
6
-5
-5
Row
Minimum
-5
Column
Maximum
Here,
From Row Minimum, we find Maximum Value i.e.,
Maxi-Min=-5
and
From Column Maximum, we find Minimum Value
i.e., Mini-Max=6
𝑴𝒂𝒙𝒊. 𝒎𝒊𝒏 ≠ 𝑴𝒊𝒏𝒊. 𝒎𝒂𝒙
Saddle point does not exist.
As Saddle Point does not exist, the player will use Mixed Strategies.
Player B
𝑬𝒗𝒆𝒏 𝑶𝒅𝒅
Player A
𝑬𝒗𝒆𝒏 8 -5
𝑶𝒅𝒅 -5 6 -5
8 6
33. Find the range of the values of x and y which will make the element
(2,2) a saddle point for the same.
10
Here,
It is said that the Saddle Point is at (2,2)
𝑴𝒂𝒙𝒊. 𝒎𝒊𝒏 = 𝑴𝒊𝒏𝒊. 𝒎𝒂𝒙 = 𝟕
Player B
𝑩𝟏 𝑩𝟐 𝑩𝟑
Player A
𝑨𝟏 2 4 5
𝑨𝟐 10 7 y
𝑨𝟑 4 x 6
2 4 5
10 7 𝑦
4 𝑥 6
𝐴1
𝐴2
𝐴3
𝐵1 𝐵2 𝐵3
Player B
Player A
Row
Minimum
2
Column
Maximum
7
10 7 𝒚 ≥ 𝟕 ( ∵ 𝒊𝒇 𝒚 𝒊𝒔 𝒎𝒐𝒓𝒆 𝒕𝒉𝒂𝒏 𝟕 𝒕𝒉𝒆𝒏 𝒐𝒏𝒍𝒚 𝟕 𝒐𝒄𝒄𝒖𝒓𝒔 𝒊𝒏 𝑹𝒐𝒘 𝑴𝒊𝒏𝒊𝒎𝒖𝒎)
𝒙 ≤ 𝟕 ( ∵ 𝒊𝒇 𝒙 𝒊𝒔 𝒍𝒆𝒔𝒔 𝒕𝒉𝒂𝒏 𝟕 𝒕𝒉𝒆𝒏 𝒐𝒏𝒍𝒚 𝟕 𝒐𝒄𝒄𝒖𝒓𝒔 𝒊𝒏 𝑪𝒐𝒍𝒖𝒎𝒏 𝑴𝒂𝒙𝒊𝒎𝒖𝒎)
𝑶𝑹
𝑯𝒆𝒏𝒄𝒆
𝒙 ≤ 𝟕 & 𝒚 ≥ 𝟕