Q. Consider the following statements
I. The objective function
maximise
subject to the constraints

has no maximum value.
II. The objective function
maximise
subject to
has no maximum value.
Choose the correct option.

 127  186 Linear Programming Report Error

Solution:

I. Our problem is to maximise
...(i)
Subject to the constraints are
...(ii)
...(iii)
...(iv)
...(v)
Draw the graph of the line
x 0 5
y 5 0

Putting in the inequality we have

(which is false)
So, the half plane is away from the origin.
Dwaw the graph of line .
x 0 6
y 3 0

Putting in the inequality , we have

(which is false)
So, the half plane is away from the origin.
image
Since,
So, the feasible region lies in the first quadrant.
The points of intersection of lines
and


It can be seen that the feasible region is unbounded.
The corner points of the feasible region are , 1) and .
The values of at these points are as follows
Corner point
-6
-2
Maximum

As the feasible region is unbounded. Therefore, may or may not be the maximum value. For this, we graph the inequality and check whether the resulting half plane has points in common with the feasible region or not.
The resulting feasible region has points in common with the feasible region. Therefore, is not the maximum value.
Hence, has no maximum value.
II. Our problem is to maximise
...(i)
Subject to the constraints are
...(ii)
...(iii)
...(iv)
Draw the graph of the line .
x 0 -1
y 1 0

Putting in the inequality , we have

(which is false)
So, the half plane is away from the origin.
Draw the graph of the line .
x 0 -1
y 0 1

Putting in the inequality , we have

(whict, is true)
image
So, the half plane is towards the origin.
Since,
So, the feasible region lies in the first quadrant.
From the above graph, it is clearly shown that there is no common region. Hence, there is no feasible region and thus has no maximum value.