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Question #41689

Difficulty: 8/10 | 🟢 Free

The Question

Let RR be the feasible region in the xyxy-plane defined by the system of inequalities: x+y≤10,x≤7,y≤8,2x+3y≤30,x≥0,y≥0x + y \le 10, \quad x \le 7, \quad y \le 8, \quad 2x + 3y \le 30, \quad x \ge 0, \quad y \ge 0 Consider the objective function Z=20−∣x−2y+5∣−∣2x+y−10∣Z = 20 - |x - 2y + 5| - |2x + y - 10|. If MM is the global maximum value of ZZ over the region RR, and it is attained at the point (x0,y0)(x_0, y_0), then the value of M+x0+y0M + x_0 + y_0 is

Options

  • A.

    27

  • B.

    19

  • C.

    24

  • D.

    16

Check Your Answer

Correct Answer

Step-by-Step Solution

Explanation

How the Examiner Thinks

Monster

Ultra-high difficulty questions designed to test your limit, stamina, and deep conceptual understanding.

Concepts Behind This Question

Redundant Constraints|Geometry Constraint Modeling|Non-Differentiable Extrema|Global Extrema on Intervals

Why This Question Is Tricky

Common Mistakes

This question tests the 'Lethal Collision' between Linear Programming (LPP) feasible regions and non-differentiable concave topological analysis.

Students are heavily conditioned to evaluate objective functions exclusively at the vertices of the feasible region (standard Simplex/Vertex method logic).

The trap is set by providing a standard LPP constraint list (including a redundant constraint to distract and consume time) while the objective function is concave.

The global maximum actually occurs at an interior non-differentiable cusp.

Students who blindly test the vertices will find a false maximum of 9 at the vertex (2,8) and incorrectly choose 19, completely missing the interior critical point.

Quick Facts About This Question

Question Information

SubjectMathematics
ChapterLinear Programming - Class 12
ConceptRedundant Constraints
Difficulty8
Cognitive Load7
Target Solve Time160 sec
AccessFree