For the feasible region shown below, the non-trivial constraints of the linear programming problem are 
To determine the non-trivial constraints of the linear programming problem for the given feasible region, we need to analyze the graph and identify the lines forming the boundaries.
The feasible region is the shaded area, which is bounded by the lines and the axes. We need to determine which of the given inequalities correspond to these boundaries.
Thus, the non-trivial constraints defining the feasible region are:
\(x+y\le6,\; x+3y\le9\)
This solution validates the correct answer and ensures that the feasible region is correctly bounded by these constraints.
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?