CBSE Class 12 Mathematics sample paper 2024-25: question 16
From the official CBSE sample question paper for 2024-25, section A, question 16, for 1 mark. Try it first; the hints and our step-by-step solution are below.
Q16 · 1 mark · MCQLinear Programming
A linear programming problem (LPP) along with the graph of its constraints is shown below. The corresponding objective function is: , which has to be minimized. The smallest value of the objective function Z is 134 and is obtained at the corner point .
(Note: The figure is not to scale.)
The optimal solution of the above linear programming problem __________.
- (A)does not exist as the feasible region is unbounded.
- (B)does not exist as the inequality does not have any point in common with the feasible region.
- (C)exists as the inequality has infinitely many points in common with the feasible region.
- (D)exists as the inequality does not have any point in common with the feasible region.
Figure in the paper: Unbounded shaded feasible region with corner point P(3,8). Lines: 4x+y=20 (intercepts A1(5,0), B1(0,20)), 2x+3y=30 (intercepts A2(15,0), (0,10)), and dotted line 18x+10y=134 passing through P(3,8) and meeting y-axis at B2(0,10). See it in the official paper.
Source: official sample paper from cbseacademic.nic.in (PDF). See it in the full Sample paper 2024-25.
Hints
Open one hint at a time and try again before the next.
Hint 1
Unbounded region does not automatically mean no minimum.
Hint 2
Check the open half-plane .
Step-by-step solution
Each step shows the marks it earns, as an examiner would award them. Checked by an independent re-solve from the question paper.
For an unbounded region, the corner value 134 is the minimum if the half-plane has no point in common with the feasible region.
- 1 mark
That is the case here, so the optimal solution exists: min at . Option (D).
Answer: Option (D)
Where the marks are
- Applies the unbounded-region test (1 mark)
Revise the chapter
- Chapter: Linear Programming (notes, formulas, where marks are lost and every past question)
- Topic: Feasible Region and Constraints
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