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CLASS 12 · MATHEMATICS PART II · CHAPTER 12

Linear Programming

Solve the complete graphical linear-programming exercise by identifying feasible regions, corner points and optimal values.

10 worked answersAll 1 exercise sets

What you will learn

  • Translate linear constraints into a feasible region.
  • Evaluate a linear objective function at feasible corner points.
  • Recognise multiple optima, infeasible regions and objectives with no finite optimum.

10 worked answers · short steps first, explanations when you need them

Exercise 12.1

Textbook pages 403–404

Question 1

Maximise Z = 3x + 4y subject to x + y ≤ 4, x ≥ 0 and y ≥ 0.

Steps only

The feasible region is the triangle in the first quadrant with corner points (0,0), (4,0) and (0,4).

Evaluate Z: at (0,0), Z=0; at (4,0), Z=12; at (0,4), Z=16.

Answer

The maximum is Z=16 at (x,y)=(0,4).

Question 2

Minimise Z = −3x + 4y subject to x + 2y ≤ 8, 3x + 2y ≤ 12, x ≥ 0 and y ≥ 0.

Steps only

The corner points are (0,0), (4,0), (2,3), and (0,4). The intersection comes from subtracting x+2y=8 from 3x+2y=12, giving x=2 and y=3.

Evaluate Z at those points: 0, −12, 6 and 16, respectively.

Answer

The minimum is Z=−12 at (4,0).

Question 3

Maximise Z = 5x + 3y subject to 3x + 5y ≤ 15, 5x + 2y ≤ 10, x ≥ 0 and y ≥ 0.

Steps only

The axis vertices are (0,0), (2,0) and (0,3).

Solve 3x+5y=15 and 5x+2y=10: x=20/19 and y=45/19.

The objective values at the four vertices are 0, 10, 9 and 235/19.

Answer

The maximum is Z=235/19 at (20/19,45/19).

Question 4

Minimise Z = 3x + 5y subject to x + 3y ≥ 3, x + y ≥ 2, x ≥ 0 and y ≥ 0.

Steps only

The feasible-region corner points nearest the origin are (3,0), (3/2,1/2), and (0,2). The middle point is where x+3y=3 and x+y=2 intersect.

Their objective values are 9, 7 and 10. The feasible region continues outward, but both coefficients in Z are positive, so moving farther into the region cannot lower these values.

Answer

The minimum is Z=7 at (x,y)=(3/2,1/2).

Question 5

Minimise Z = 3x + 2y subject to x + y ≥ 8, 3x + 5y ≤ 15, x ≥ 0 and y ≥ 0.

Steps only

Because x,y≥0, 3x+5y is at least 3(x+y).

The first constraint would therefore force 3x+5y≥24, but the second requires 3x+5y≤15. These conditions cannot both hold.

Answer

There is no feasible region, so the problem has no feasible solution and no minimum.

Question 6

Minimise Z=x+2y subject to 2x+y≥3, x+2y≥6, x≥0 and y≥0. Show that the minimum occurs at more than two points.

Steps only

The second constraint says Z=x+2y≥6.

On the boundary x+2y=6, the segment from (0,3) to (6,0) is in the first quadrant. Along it, 2x+y ranges from 3 to 12, so the first constraint is also satisfied.

Answer

The minimum is 6 at every point on the segment x+2y=6 from (0,3) to (6,0); therefore there are infinitely many minimum points.

Question 7

Find the minimum and maximum of Z=5x+10y subject to x+2y≤120, x+y≥60, x−2y≥0, x≥0 and y≥0.

Steps only

The corner points are (60,0), (120,0), (60,30), and (40,20). They come from the axes and intersections of the boundary lines.

Since Z=5(x+2y), the constraint x+2y≤120 gives Z≤600. At (60,0), Z=300; at (40,20), Z=400; at (60,30) and (120,0), Z=600.

Answer

The minimum is 300 at (60,0). The maximum is 600 at every feasible point on x+2y=120 between (60,30) and (120,0).

Question 8

Find the minimum and maximum of Z=x+2y subject to x+2y≥100, 2x−y≤0, 2x+y≤200, x≥0 and y≥0.

Steps only

Rewrite 2x−y≤0 as y≥2x. The corner points are (0,50), (0,200), (50,100), and (20,40).

The objective values there are 100, 400, 250, and 100.

On the boundary x+2y=100, the feasible segment from (0,50) to (20,40) satisfies all constraints, so every point on it gives 100.

Answer

The minimum is 100 at every point on the segment from (0,50) to (20,40). The maximum is 400 at (0,200).

Question 9

Can Z=−x+2y be maximised subject to x≥3, x+y≥5, x+2y≥6 and y≥0?

Steps only

Fix x=3. Any y≥3 satisfies x+y≥5 and x+2y≥6.

For these feasible points, Z=−3+2y, which increases without limit as y increases.

Answer

There is no maximum value; Z is unbounded above on the feasible region.

Question 10

Maximise Z=x+y subject to x−y≤−1, −x+y≤0, x≥0 and y≥0.

Steps only

The first inequality gives y≥x+1.

The second gives y≤x. No number y can be both at least x+1 and at most x.

Answer

The constraints have no common feasible point, so there is no feasible solution and no maximum.

Questions follow NCERT’s Mathematics Part II, Chapter 12 ↗, checked on 2026-10-05. Use our original question summaries and worked answers alongside the questions in your textbook.

Diagrams are drawn from mathematical rules. Learnivelle is not affiliated with NCERT.

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