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CBSE Sample Paper 2025-26 · Section A · 1 mark

Q17: Another minimum point of an LPP, given one at (5,0)(5, 0)

The question

The feasible region of a linear programming problem is bounded but the objective function attains its minimum value at more than one point. One of the points is (5,0).

2 4 6 8 10 12 14 16 −2 0 2 4 6 8 10 12 14 16 18 X Y
The given graph, redrawn.

Then one of the other possible points at which the objective function attains its minimum value is

(A) (2,9)

(B) (6,6)

(C) (4,7)

(D) (0,0)

For Visually Impaired:

The graph of the inequality 3x+5y<103x + 5y < 10 is the

(A) Entire XYXY-plane

(B) Open Half plane that doesn’t contain origin

(C) Open Half plane that contains origin, but not the points of the line 3x+5y=103x + 5y = 10

(D) Half plane that contains origin and the points of the line 3x+5y=103x + 5y = 10

Exam answer

A minimum at more than one point is attained at every point of an edge through (5,0)(5, 0)⁠. The edge from (5,0)(5, 0) to (0,15)(0, 15) is

Why?

In a bounded LPP, an optimum value is attained at a corner point. If it is attained at two corners, it is attained at every point of the segment joining them.

From the graph, the feasible region is the triangle with corners (0,15)(0, 15)⁠, (5,0)(5, 0) and (10,0)(10, 0)⁠. Two of its edges pass through (5,0)(5, 0)⁠: one to (0,15)(0, 15) and one to (10,0)(10, 0)⁠.

x5+y15=1⇒3x+y=15\frac{x}{5} + \frac{y}{15} = 1 \Rightarrow 3x + y = 15
Why?

Intercept form xa+yb=1\frac{x}{a} + \frac{y}{b} = 1 with a=5a = 5 and b=15b = 15⁠. Multiplying by 15 gives 3x+y=153x + y = 15⁠.

15⋅x5+15⋅y15=15⋅13x+y=15\begin{aligned} 15 \cdot \frac{x}{5} + 15 \cdot \frac{y}{15} &= 15 \cdot 1 \\ 3x + y &= 15 \end{aligned}

(2,9)(2, 9) lies on it: 3(2)+9=153(2) + 9 = 15⁠. No option lies on the other edge through (5,0)(5, 0)⁠, which runs to (10,0)(10, 0)⁠.

Why?

The other edge is the part of y=0y = 0 from x=5x = 5 to x=10x = 10⁠. (6,6)(6, 6) and (4,7)(4, 7) are not on y=0y = 0⁠, and (0,0)(0, 0) is not in the feasible region at all.

Also, 3x+y3x + y is 2424 at (6,6)(6, 6) and 1919 at (4,7)(4, 7)⁠, not 15:

(2,9):3(2)+9=6+9=15(6,6):3(6)+6=18+6=24(4,7):3(4)+7=12+7=19\begin{aligned} (2, 9)&: 3(2) + 9 = 6 + 9 = 15 \\ (6, 6)&: 3(6) + 6 = 18 + 6 = 24 \\ (4, 7)&: 3(4) + 7 = 12 + 7 = 19 \end{aligned}

For example, Z=3x+yZ = 3x + y has the value 15 at (5,0)(5, 0)⁠, (0,15)(0, 15) and (2,9)(2, 9)⁠, and 30 at (10,0)(10, 0)⁠.

Answer: (A) (2,9)

For Visually Impaired

At (0,0)(0, 0)⁠: 3(0)+5(0)=03(0) + 5(0) = 0⁠, and 0<100 < 10 is true, so the region contains the origin.

Why?

The line 3x+5y=103x + 5y = 10 splits the plane into two half planes. One test point not on the line decides which side the inequality describes, and the origin is the easiest.

So (B), which leaves out the origin, fails. (A) fails too: (10,10)(10, 10) gives 3(10)+5(10)=30+50=803(10) + 5(10) = 30 + 50 = 80⁠, which is not less than 10, so the region is not the entire plane.

The inequality is strict, so the points of the line 3x+5y=103x + 5y = 10 are not included.

Why?

With <<⁠, a point on the line gives exactly 10, which is not less than 10. So the line is left out, and the half plane is called open. With ≤\le the line would be included, as in (D).

Answer: (C) Open Half plane that contains origin, but not the points of the line 3x+5y=103x + 5y = 10

Where this comes from

Chapter 12, Linear Programming: LPP: optimum at more than one point.

Question type: (main question) Both maximum and minimum, and a tie along an edge

How to spot it: click to see

(main question) Type 3. Both maximum and minimum, and a tie along an edge

Spot it: "Minimise and maximise ZZ". Often one rule, like x−2y≥0x - 2y \ge 0⁠, is a line through the origin.

Here: A bounded region with the minimum at more than one point means a tie along a whole edge through (5,0)(5, 0)⁠. The edge to (0,15)(0, 15) is 3x+y=153x + y = 15⁠, and (2,9)(2, 9) lies on it.

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