To solve the Linear Programming Problem (LPP), we need to find the feasible solutions that satisfy the given constraints. The objective function is to minimize \(Z = 5x + 7y\) subject to the constraints \(x \ge 0\), \(y \ge 0\), \(2x + y \ge 8\), and \(x + 2y \ge 10\). First, we determine the points where the constraint lines intersect the axes and each other:
- Step 1: Intersection Points on the Axes
- For \(2x + y = 8\):
- If \(x = 0\), \(y = 8\).
- If \(y = 0\), \(x = 4\).
- For \(x + 2y = 10\):
- If \(x = 0\), \(y = 5\).
- If \(y = 0\), \(x = 10\).
- Step 2: Intersection of the Constraint Lines
- Step 3: Feasible Region and Basic Feasible Solutions
Considering non-negativity constraints, the feasible region is bounded by the lines intersecting at \((10,0)\), \((0,8)\), \((2,4)\), as well as along the axes (subject to non-negativity). Therefore, basic feasible solutions include points forming the corners or intersections in this region: \((10,0)\), \((2,4)\), \((0,8)\).
Thus, the correct options for the given LPP are: (10, 0), (2, 4), and (0, 8).