Step 1: Formulate the problem.
We need to minimize \( Z = 3x + 5y \) under the constraints:
- \( x + 3y \geq 3 \),
- \( x + y \geq 2 \),
- \( x \geq 0 \),
- \( y \geq 0 \).
Step 2: Graph the constraints.
Graph the inequalities on a coordinate plane:
- \( x + 3y \geq 3 \) is a line with slope \( -\frac{1}{3} \),
- \( x + y \geq 2 \) is a line with slope \( -1 \),
- The region of feasible points is where all inequalities are satisfied, which is the region that lies on or above these lines.
Step 3: Identify the corner points.
The corner points of the feasible region are the points of intersection of the lines:
- \( x + 3y = 3 \) intersects \( x + y = 2 \) at \( (x, y) = (1, 1) \),
- The intercepts for the lines give additional points at \( (3, 0) \) and \( (0, 1) \).
Step 4: Calculate the value of \( Z \) at each corner point.
At \( (1, 1) \), \( Z = 3(1) + 5(1) = 8 \),
At \( (3, 0) \), \( Z = 3(3) + 5(0) = 9 \),
At \( (0, 1) \), \( Z = 3(0) + 5(1) = 5 \).
Step 5: Conclusion.
The minimum value of \( Z \) is \( 5 \), which occurs at the point \( (0, 1) \).
For the feasible region shown below, the non-trivial constraints of the linear programming problem are 
For the linear programming problem: \[ {Maximize} \quad Z = 2x_1 + 4x_2 + 4x_3 - 3x_4 \] subject to \[ \alpha x_1 + x_2 + x_3 = 4, \quad x_1 + \beta x_2 + x_4 = 8, \quad x_1, x_2, x_3, x_4 \geq 0, \] consider the following two statements:
S1: If \( \alpha = 2 \) and \( \beta = 1 \), then \( (x_1, x_2)^T \) forms an optimal basis.
S2: If \( \alpha = 1 \) and \( \beta = 4 \), then \( (x_3, x_2)^T \) forms an optimal basis. Then, which one of the following is correct?