Concept:
• Feasible region corner points are vertices of the polygon formed by constraints.
• Optimal solutions occur at corner points.
• If the objective function line is parallel to one of the active constraint boundaries, there can be infinite optimal solutions.
Step 1: Verify the corner points of the feasible region
Constraint 1: \( 2x + y = 3 \) (Intercepts: (1.5, 0), (0, 3)).
Constraint 2: \( x + 2y = 6 \) (Intercepts: (6, 0), (0, 3)).
For the "greater than or equal to" region, the boundary vertices are \( (0, \infty), (0, 3) \) and \( (6, 0), (\infty, 0) \).
The corner points on the boundary are indeed \( (0, 3) \) and \( (6, 0) \).
Step 2: Evaluate the objective function at corner points
\( Z = x + 2y \)
• At \( (0, 3) \): \( Z = 0 + 2(3) = 6 \)
• At \( (6, 0) \): \( Z = 6 + 2(0) = 6 \)
Since both corner points yield the same minimum value of \( 6 \), every point on the segment joining \( (0, 3) \) and \( (6, 0) \) will also yield \( Z = 6 \). This gives infinitely many points. Assertion (A) is true.
Step 3: Check Reason (R) and its logical connection
Reason (R) is a fundamental theorem in Linear Programming regarding multiple optimal solutions. It is true.
The reason Assertion (A) concludes there are "infinitely many points" is exactly the theorem stated in Reason (R).
Thus, Reason (R) is the correct explanation.