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Dominance and mixed strategiesAQA A-Level Further Maths: Revision notes

Section 1

Dominated strategies

A strategy is dominated if another strategy is at least as good in every case, so a sensible player never uses it.

  • Rows (Rowan, maximiser): row AA is dominated by row BB if every entry of BB is greater than or equal to the matching entry of AA.
  • Columns (Colin, minimiser): column AA is dominated by column BB if every entry of BB is less than or equal to the matching entry of AA (Colin prefers smaller pay-offs).

Remove dominated rows and columns to get a smaller game. Repeat, because removing a row can make a column dominated and vice versa. Example: for (324152435)\begin{pmatrix} 3 & 2 & 4 \\ 1 & 5 & 2 \\ 4 & 3 & 5 \end{pmatrix}, row 3 (4,3,54,3,5) dominates row 1 (3,2,43,2,4), and column 1 (3,1,43,1,4) dominates column 3 (4,2,54,2,5), so remove row 1 and column 3 to leave (1543)\begin{pmatrix} 1 & 5 \\ 4 & 3 \end{pmatrix}.

Key termsdominated strategydominance
Common mistake

Using the same inequality for columns as for rows. Colin wants small pay-offs, so he prefers the column with smaller entries.

Exam tip

Say which row or column dominates which, and quote the entry-by-entry comparison.

Section 2

Mixed strategies

If a game has no stable solution, a player who always makes the same choice can be exploited. A mixed strategy chooses each strategy with a stated probability, chosen at random each time.

  • Rowan plays row 1 with probability pp and row 2 with probability 1−p1-p.
  • His expected pay-off against each of Colin's columns is a linear expression in pp.
  • The optimal mixed strategy maximises the smallest of these expected pay-offs. For a 2×22\times2 game, this happens where the two expected pay-offs are equal.

The resulting expected pay-off is the value of the game, and it is the same whichever column Colin uses (when he plays only the columns in his optimal mix).

Key termsmixed strategyexpected pay-offoptimal mixed strategy
Common mistake

Forgetting that the probabilities must add to 1, so the second row has probability 1−p1-p.

Exam tip

Check your answer by substituting pp into both expressions: they must give the same value.

Section 3

Solving a 2×2 game

For (5124)\begin{pmatrix} 5 & 1 \\ 2 & 4 \end{pmatrix} there is no stable solution: maximin =2=2 and minimax =4=4. Rowan plays row 1 with probability pp.

  • Against column 1: 5p+2(1−p)=3p+25p+2(1-p)=3p+2.
  • Against column 2: p+4(1−p)=4−3pp+4(1-p)=4-3p.
  • Equate: 6p=26p=2, so p=13p=\frac13. Value =3=3.

For Colin, play column 1 with probability qq: against row 1 the pay-off is 5q+(1−q)=4q+15q+(1-q)=4q+1, against row 2 it is 2q+4(1−q)=4−2q2q+4(1-q)=4-2q. Equate: q=12q=\frac12, value 33 again.

Interpretation: over many plays, Rowan should choose row 1 about one time in three, at random, and on average gains 33 per play.

Key termsvalue of the game
Common mistake

Mixing up whose probability is which: qq belongs to Colin's columns and pp to Rowan's rows, so equate Rowan's pay-off against each of Colin's strategies for pp.

Section 4

Graphical method for 2×n and m×2 games

If Rowan has two strategies and Colin has nn, write Rowan's expected pay-off against each of Colin's columns as a line in pp (for 0≤p≤10\leq p\leq1) and draw the lines on one set of axes. Colin will choose the column that gives Rowan the least, so Rowan's guaranteed pay-off is the lower boundary of the lines. His optimal pp is at the highest point of this lower boundary, and the height there is the value of the game.

  • The two lines that cross at this point give Colin's optimal columns; any line above that point is a column Colin never plays.
  • Example: (251416)\begin{pmatrix} 2 & 5 & 1 \\ 4 & 1 & 6 \end{pmatrix} gives lines 4−2p4-2p, 1+4p1+4p, 6−5p6-5p. The first two meet at p=12p=\frac12 with value 33, and the third is 3.53.5 there, so Colin never plays column 3.

If Rowan has mm strategies and Colin has two, use qq for Colin and find the lowest point of the upper boundary of the lines.

Key termslower boundarygraphical method
Exam tip

Rowan wants the highest point of the lower boundary; Colin wants the lowest point of the upper boundary.

Common mistake

Choosing the point where the two steepest lines meet instead of the point where the lower boundary peaks.

That's the notes covered.

Carry on to the next subtopic.

Exam questions on Dominance and mixed strategies

  1. Rowan and Colin play a zero-sum game. The pay-off matrix for Rowan is (324152435)\begin{pmatrix} 3 & 2 & 4 \\ 1 & 5 & 2 \\ 4 & 3 & 5 \end{pmatrix}. Rows are Rowan's strategies and columns are Colin's. Rowan wants to maximise his pay-off and Colin wants to minimise it.
    Explain why Colin will never play column 3.2 marks
  2. Rowan and Colin play a zero-sum game with pay-off matrix for Rowan (5124)\begin{pmatrix} 5 & 1 \\ 2 & 4 \end{pmatrix}. The game has no stable solution. Rowan chooses row 1 with probability pp and row 2 with probability 1−p1-p, to maximise his smallest expected pay-off.
    Find Colin's optimal strategy.2 marks
  3. Rowan and Colin play a zero-sum game with pay-off matrix for Rowan (251416)\begin{pmatrix} 2 & 5 & 1 \\ 4 & 1 & 6 \end{pmatrix}. The game has no stable solution. Rowan chooses row 1 with probability pp and row 2 with probability 1−p1-p. Colin has three strategies, columns 1, 2 and 3.
    Write down Rowan's expected pay-off, in terms of pp, when Colin plays each of columns 1, 2 and 3.3 marks
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Written by the Exaim team, led by Shaun Daswani (Head of Upper Secondary, Improve ME Institute; MSc Financial Mathematics, Imperial College London; BSc, UCL) and Jason Daswani (operational lead, Improve ME Institute; LSE).