Q17: Another minimum point of an LPP, given one at
The feasible region of a linear programming problem is bounded but the objective function attains its minimum value at more than one point. One of the points is (5,0).
Then one of the other possible points at which the objective function attains its minimum value is
(A) (2,9)
(B) (6,6)
(C) (4,7)
(D) (0,0)
For Visually Impaired:
The graph of the inequality is the
(A) Entire -plane
(B) Open Half plane that doesn’t contain origin
(C) Open Half plane that contains origin, but not the points of the line
(D) Half plane that contains origin and the points of the line
A minimum at more than one point is attained at every point of an edge through . The edge from to is
Why?
In a bounded LPP, an optimum value is attained at a corner point. If it is attained at two corners, it is attained at every point of the segment joining them.
From the graph, the feasible region is the triangle with corners , and . Two of its edges pass through : one to and one to .
Why?
Intercept form with and . Multiplying by 15 gives .
lies on it: . No option lies on the other edge through , which runs to .
Why?
The other edge is the part of from to . and are not on , and is not in the feasible region at all.
Also, is at and at , not 15:
For example, has the value 15 at , and , and 30 at .
Answer: (A) (2,9)
For Visually Impaired
At : , and is true, so the region contains the origin.
Why?
The line splits the plane into two half planes. One test point not on the line decides which side the inequality describes, and the origin is the easiest.
So (B), which leaves out the origin, fails. (A) fails too: gives , which is not less than 10, so the region is not the entire plane.
The inequality is strict, so the points of the line are not included.
Why?
With , a point on the line gives exactly 10, which is not less than 10. So the line is left out, and the half plane is called open. With the line would be included, as in (D).
Answer: (C) Open Half plane that contains origin, but not the points of the line
Chapter 12, Linear Programming: LPP: optimum at more than one point.
Question type: (main question) Both maximum and minimum, and a tie along an edge
How to spot it: click to see
(main question) Type 3. Both maximum and minimum, and a tie along an edge
Spot it: "Minimise and maximise ". Often one rule, like , is a line through the origin.
Here: A bounded region with the minimum at more than one point means a tie along a whole edge through . The edge to is , and lies on it.
Tell us if something on this page is wrong or unclear. Send feedback on this question →
Linear Programming in past papers: question 16 of 27 · see them all