A linear programming problem (LPP) along with the graph of its constraints is shown below. The corresponding objective function is: Z=18x+10y, which has to be minimized. The smallest value of the objective function Z is 134 and is obtained at the corner point (3,8),
The given graph, redrawn: the lines 4x+y=20 (through B1,A1), 2x+3y=30 (through B2,A2) and, dashed, 18x+10y=134. The shaded feasible region is unbounded.
(Note: The figure is not to scale.)
The optimal solution of the above linear programming problem __________.
(A) does not exist as the feasible region is unbounded.
(B) does not exist as the inequality 18x+10y<134 does not have any point in common with the feasible region.
(C) exists as the inequality 18x+10y>134 has infinitely many points in common with the feasible region.
(D) exists as the inequality 18x+10y<134 does not have any point in common with the feasible region.
Exam answer
The corner points of the feasible region are B1(0,20),P(3,8) and A2(15,0).
The feasible region is unbounded. The open half plane 18x+10y<134 has no point in common with the feasible region, so the minimum value of Z is 134, at P(3,8).
Why?
On an unbounded region the smallest corner value m need not be the minimum. The test: draw the open half plane Z<m. If it has no point in common with the feasible region, then m is the minimum. Otherwise Z has no minimum.
Here it holds: every feasible point has 4x+y≥20 and 2x+3y≥30, and
Now use 4x+y≥20 and 2x+3y≥30 (both multipliers are positive, so the signs stay):
517(20)511(30)=5340=68=5330=66
So the optimal solution exists. (A) and (B) say it does not, and (C) uses the half plane 18x+10y>134, which is not the test for a minimum.
Why?
Watch out: 18x+10y>134 does have infinitely many points in common with this region, for example every point (x,20) with x>0. But that says nothing about a minimum. For a minimum we look at the side where Z is smaller.
Answer: (D) exists as the inequality 18x+10y<134 does not have any point in common with the feasible region.
Where this comes from
Chapter 12, Linear Programming: LPP: minimum on an unbounded feasible region.
Type 4. An unbounded region: check the minimum with a half-plane
Spot it: all the rules are "≥", so the shaded region goes on for ever. The question asks for a minimum.
Here: The region is unbounded and the smallest corner value is m=134, at P(3,8). The dashed line is 18x+10y=134; the open half-plane 18x+10y<134 has no point in the region, so the minimum exists: option (D).