Lesson 4D.5.5
4D.5.5 Mixed strategies by linear programming Quiz: Pearson Edexcel Further Maths, Unit 44
20 questions
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Lesson 4D.5.5, Mixed strategies by linear programming: 20 multiple choice questions for the Pearson Edexcel Further Maths (9FM0), Unit 44: Game theory, written with Revision Ninja.
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The 20 questions
-
Why is a constant added to every entry of the pay-off matrix before setting up the linear program?
- So that all probabilities are zero.
- So that the objective becomes a maximisation.
- So that the simplex algorithm can handle negative slack variables.
- So that the value of the game is positive and the substitution x_i = p_i / v gives a valid linear program.
-
If a constant k is added to every entry of a game, how does the value change, and does the optimal strategy change?
- The value decreases by k.
- The strategies are halved.
- The value is unchanged but the strategies change.
- The value increases by k, and the optimal strategies are unchanged.
-
In the linear programming method for the row player, what substitution is used with value v?
- x_i = v - p_i
- x_i = p_i + v
- x_i = p_i × v
- x_i = p_i / v, where p_i is the probability of row i.
-
In the linear program for the row player, what quantity is minimised?
- The sum x_1 + x_2 + ... + x_m, which equals 1/v.
- The largest entry of the matrix.
- The sum of the probabilities p_i.
- The value v directly.
-
In the linear program for the row player, what is the form of the constraint for each column j?
- The sum over i of x_i is at least a_ij.
- The sum over i of a_ij x_i is at most 1.
- The sum over j of a_ij x_i equals 1.
- The sum over i of a_ij x_i is at least 1.
-
What linear program does the column player solve, after the same scaling?
- Minimise the sum of y_j subject to the sums at least 1 for each row.
- Minimise the largest entry of the matrix.
- Maximise the sum of y_j subject to the sum over j of a_ij y_j at most 1 for each row i.
- Maximise the value v directly with no constraints.
-
Why can the simplex algorithm be used for these linear programs?
- Because the objective is linear with no constraints.
- Each player's problem can be written as a linear program that the simplex algorithm can solve.
- Because all variables are integers.
- Because the matrix is always 2 by 2.
-
For the shifted matrix [[4, 1], [1, 5]] obtained by adding 2 to [[2, -1], [-1, 3]], what is the value of the game?
- 19/7
- 12/7
- 5/7
- 3
-
For the matrix [[4, 1], [1, 5]], what is x_1 from the equations 4x_1 + x_2 = 1 and x_1 + 5x_2 = 1?
- 3/19
- 7/19
- 1/4
- 4/19
-
For the matrix [[4, 1], [1, 5]], what is x_2 at the optimum?
- 1/5
- 7/19
- 3/19
- 4/19
-
For the matrix [[4, 1], [1, 5]], what is the minimum of x_1 + x_2?
- 19/7
- 12/19
- 1/7
- 7/19
-
For the matrix [[2, -1], [-1, 3]], what is the optimal probability p_1 of row 1, given the shifted solution?
- 5/7
- 4/19
- 4/7
- 3/7
-
For the matrix [[2, -1], [-1, 3]], what is the optimal probability p_2 of row 2?
- 2/7
- 3/7
- 4/7
- 1/7
-
For the matrix [[3, 1], [1, 3]], what is the value of the game?
- 3
- 2
- 4/3
- 1
-
For the matrix [[3, 1], [1, 3]], what is the minimum of x_1 + x_2 in the linear program with constraints 3x_1 + x_2 ≥ 1 and x_1 + 3x_2 ≥ 1?
- 1
- 1/4
- 1/2
- 2
-
For the matrix [[3, 1], [1, 3]], what is the optimal probability of row 1?
- 1/2
- 3/4
- 1/4
- 2/3
-
For the matrix [[3, 1], [1, 3]] with the optimal row strategy (1/2, 1/2), what is the expected payoff against column 1?
- 1
- 2
- 3
- 4
-
Why do the x_i in these linear programs need to be non-negative?
- Because every x_i must equal 1.
- Because the objective requires all x_i to be integers.
- Because the simplex method only accepts non-negative numbers in the Value column.
- Because they are scaled probabilities, p_i divided by v, which cannot be negative.
-
What does the sum of the x_i equal in the row player's linear program?
- v, because x_i = p_i × v.
- The number of rows in the matrix.
- 0 at the optimum.
- 1/v, because the sum of the p_i is 1 and x_i = p_i / v.
-
For the matrix [[1, -2], [-3, 4]], what is the value after adding 2 to every entry?
- 1/5
- 7/5
- 11/5
- 9/5
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