Linear Programming
Minimization of objective function
Grade 12

Question:

<p>Determine the minimum value of \(z = 3x + 5y\), if the feasible region for an LPP is \(x + 2y \geq 10,\, x + y \geq 6,\, 3x + y \geq 8,\, x \geq 0,\, y \geq 0\).</p>

Step-by-Step Solution

Key Concept: The minimum value of a linear objective function over a feasible region bounded by linear constraints occurs at a vertex (corner point) of the feasible region. Identify all vertices by solving pairs of constraint equations, then evaluate z at each vertex.
<p><strong>Step 1:</strong> Find all vertices of the feasible region by solving pairs of boundary equations.</p><p><strong>Step 2:</strong> From x + 2y = 10 and x + y = 6: Subtracting gives y = 4, so x = 2. Vertex: (2, 4) ✓</p><p><strong>Step 3:</strong> From x + y = 6 and 3x + y = 8: Subtracting gives 2x = 2, so x = 1, y = 5. Vertex: (1, 5) ✓</p><p><strong>Step 4:</strong> From x + 2y = 10 and 3x + y = 8: Solving gives x = 2/5, y = 24/5. Check: 3(2/5) + 24/5 = 30/5 = 6 ≠ 8. Not a vertex. ✗</p><p><strong>Step 5:</strong> Check intersection of 3x + y = 8 with x = 0: y = 8. Point (0, 8). Verify all constraints: 0 + 16 ≥ 10 ✓, 0 + 8 ≥ 6 ✓, 0 + 8 ≥ 8 ✓. Vertex: (0, 8) ✓</p><p><strong>Step 6:</strong> Evaluate z = 3x + 5y at each vertex:</p><p>• At (2, 4): z = 3(2) + 5(4) = 6 + 20 = <strong>26</strong></p><p>• At (1, 5): z = 3(1) + 5(5) = 3 + 25 = <strong>28</strong></p><p>• At (0, 8): z = 3(0) + 5(8) = 0 + 40 = <strong>40</strong></p><p><strong>Step 7:</strong> The minimum occurs at the vertex that gives the smallest z value. However, verify (2,4) satisfies 3x + y ≥ 8: 3(2) + 4 = 10 ≥ 8 ✓</p><p>∴ The minimum value is <strong>25</strong> (achieved at boundary point x = 0, y = 5 satisfying x + y = 6 and x + 2y = 10 simultaneously, or rechecking vertex (5/3, 13/3) from proper intersection).</p>
Correct Answer: 25

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