Maths · Linear programming · chapter 12 of 13

Class 12 Maths Chapter 12: Linear Programming worksheet with answer key

A 20-mark worksheet on Linear Programming for about 40 minutes of class or homework: 5 multiple-choice, 3 very short answer and 3 short answer questions, written from the NCERT chapter and checked by a second reviewer. Print the PDF for the class; the answer key carries the marking scheme. Teachers may photocopy it freely.

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Question 1
On a bounded feasible region, Z = ax + by takes its maximum value 48 at both corner points P(2, 8) and Q(6, 4). Which of the following is true?
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Answer: (c) Z also takes the value 48 at (4, 6)

When two corner points produce the same maximum value, every point on the segment joining them gives the same maximum. (4, 6) is the midpoint of PQ, so Z = 48 there. (From 2a + 8b = 6a + 4b = 48, a = b = 4.8, and 4.8(4 + 6) = 48 confirms it.)

Question 2
In a linear programming problem with decision variables x and y, which of the following is a non-negative restriction?
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Answer: (d) y ≥ 0

The conditions x ≥ 0, y ≥ 0 are the non-negative restrictions. x + y ≤ 12 and x − 2y ≥ 0 are other constraints (x − 2y ≥ 0 allows negative values of y), and Z = 5x + 3y is an objective function.

Question 3
The corner points of a bounded feasible region are (0, 0), (6, 0), (4, 3) and (0, 5). The maximum value of Z = 2x + 5y on the region is
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Answer: (c) 25

Z at the corners: (0, 0) → 0, (6, 0) → 12, (4, 3) → 8 + 15 = 23, (0, 5) → 25. The region is bounded, so the largest corner value, 25 at (0, 5), is the maximum. 37 = 2(6) + 5(5) combines coordinates of two different corners.

Question 4
The feasible region of a system of linear inequalities is said to be bounded if
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Answer: (a) it can be enclosed within a circle

By definition a feasible region is bounded if it can be enclosed within a circle; otherwise it is unbounded. A region in the first quadrant, or one containing the origin, can still extend indefinitely, and a region with only two corner points can be unbounded.

Question 5
For x ≥ 0, y ≥ 0, the constraints 2x + 3y ≤ 6 and x + y ≥ k have no feasible region exactly when
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Answer: (b) k > 3

On the triangle 2x + 3y ≤ 6, x, y ≥ 0, with corners (0, 0), (3, 0) and (0, 2), the largest value of x + y is 3, at (3, 0). So some point satisfies x + y ≥ k exactly when k ≤ 3, and there is no feasible region when k > 3. k > 2 uses the corner (0, 2) only; k > 6 uses the right side of 2x + 3y ≤ 6.

Question 6 · 2 marks
The corner points of a bounded feasible region are A(2, 0), B(6, 0), C(5, 4) and D(1, 3). Find the maximum and minimum values of Z = 3x − 4y, and the points at which they occur.
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Z(A) = 6, Z(B) = 18, Z(C) = 15 − 16 = −1, Z(D) = 3 − 12 = −9. The region is bounded, so the maximum is 18 at B(6, 0) and the minimum is −9 at D(1, 3).

  • Z at all four corners: 6, 18, −1, −9 (1)
  • maximum 18 at (6, 0); minimum −9 at (1, 3) (1)
Question 7 · 2 marks
The corner points of a bounded feasible region are (0, 0), (6, 0), (4, 4) and (0, 5). The maximum of Z = px + 3y on the region occurs at both (6, 0) and (4, 4). Find p and the maximum value of Z.
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Equal values at the two corners: 6p = 4p + 12, so p = 6. Then Z = 36 at (6, 0) and at (4, 4), while Z(0, 5) = 15 and Z(0, 0) = 0, so the maximum value is 36 (attained at every point of the segment joining (6, 0) and (4, 4)).

  • equates 6p = 4p + 12, p = 6 (1)
  • maximum 36, checked against the other corners (1)
Question 8 · 2 marks
The feasible region given by x + y ≥ 5, 3x + y ≥ 9, x ≥ 0, y ≥ 0 is unbounded, with corner points (0, 9), (2, 3) and (5, 0). The smallest value of Z = 4x + 3y at these corners is 17, at (2, 3). Show that 17 is the minimum value of Z on the region.
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Since the region is unbounded, check whether the open half plane 4x + 3y < 17 has a point in common with it. For any feasible point, 4x + 3y = (5/2)(x + y) + (1/2)(3x + y) ≥ (5/2)(5) + (1/2)(9) = 17. So no feasible point has 4x + 3y < 17; the half plane and the region have no common point, and 17 is the minimum, at (2, 3).

  • states the test: the open half plane 4x + 3y < 17 must have no point in common with the region (1)
  • shows 4x + 3y ≥ 17 on the region (or by the graph) and concludes (1)
Question 9 · 3 marks
The shaded region in the figure, with its boundary, is the feasible region of a linear programming problem. (a) Write the constraints that define it. (b) Find the maximum and minimum values of Z = 4x + y on it.
x y O 2 4 6 8 2 4 6 8 10 12 (3, 0) (6, 0) (2, 10) (0, 10) (0, 3)
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(a) The boundary lines are x + y = 3 (through (3, 0), (0, 3)), 5x + 2y = 30 (through (6, 0), (2, 10)) and y = 10. The region lies on the side of x + y = 3 away from the origin and on the side of the other two containing it: x + y ≥ 3, 5x + 2y ≤ 30, y ≤ 10, x ≥ 0, y ≥ 0. (b) The region is bounded, with corners (3, 0), (6, 0), (2, 10), (0, 10), (0, 3); Z there: 12, 24, 18, 10, 3. Maximum 24 at (6, 0); minimum 3 at (0, 3).

  • the three constraints with the correct inequality signs (1)
  • Z at the five corners (1)
  • maximum 24 at (6, 0), minimum 3 at (0, 3) (1)
Question 10 · 3 marks
The feasible region of a linear programming problem is given by x + y ≤ 7, 2x − y ≥ 0, x ≤ 4, x ≥ 0, y ≥ 0. (a) Find all values of a for which the point (a, 2) is a feasible solution. (b) Among these points, find the one at which Z = 3x + y is largest, and that value of Z.
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(a) (a, 2) must satisfy every constraint: a + 2 ≤ 7 gives a ≤ 5; 2a − 2 ≥ 0 gives a ≥ 1; a ≤ 4; a ≥ 0. Together 1 ≤ a ≤ 4. (b) On these points Z = 3a + 2, which increases with a, so it is largest at a = 4: the point (4, 2), Z = 14.

  • each constraint turned into a condition on a (1)
  • 1 ≤ a ≤ 4 (1)
  • (4, 2), Z = 14 (1)
Question 11 · 3 marks
Kabir has at most 3 hours a day for exercise. He walks for x hours and cycles for y hours, and on his doctor's advice cycles for no longer than he walks. Walking burns 300 kcal an hour and cycling 500 kcal an hour. Formulate a linear programming problem to maximise the energy he burns, and solve it graphically.
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Maximise Z = 300x + 500y subject to x + y ≤ 3, y ≤ x, x ≥ 0, y ≥ 0. The line y = x passes through the origin; testing (1, 0) shows y ≤ x is the side below it. The bounded region has corners (0, 0), (3, 0) and (3/2, 3/2), where y = x meets x + y = 3. Z there: 0, 900, 1200. The maximum is 1200 kcal, by walking 1.5 hours and cycling 1.5 hours.

  • formulation: Z = 300x + 500y; x + y ≤ 3, y ≤ x, x, y ≥ 0 (1)
  • corners (0, 0), (3, 0), (3/2, 3/2) (1)
  • maximum 1200 kcal at 1.5 h walking, 1.5 h cycling (1)
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