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Question

Consider the linear Programme (LP)

Max 4x + 6y

Subject to :

3x+2y6

2x+3y6

x,y0

After introducing slack variables s and t, the initial basic feasible solution is represented by the table below (basic variables are s = 6 and t = 6, and the objective function value is 0).
-4 -6 0 0 0
s 3 2 1 0 6
t 2 3 0 1 6
x y s t RHS

After some simplex iterations, the following table is obtained
0 0 0 2 12
S 5/3 0 1 -1/3 2
y 2/3 1 0 1/3 2
x y s t RHS

From this, one can conclude that

A
the LP has an optimal solution that is not unique
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B
the LP has a unique optimal solution
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C
the LP is infeasible
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D
the LP is unbounded
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Solution

The correct option is A the LP has an optimal solution that is not unique
Method I:

Since zero has appeared in the optimal solution below a non-basic variable, it means there are alternate solutions. The LP has an optimal solution that is not unique.

Method II:

Given problem can be modified in terms of linear programming problem as,

Max z = 4x + 6y

3x+2y6...(1)

2x+3y6...(2)

x,y0



At point B(6/5, 6/3),

Max z=4×65+6×65=12

At point C(0, 2)

Max z = 4 × 0 + 6 × 2 = 12

Points to Remember:

It is also important to note that maximization z and constraint (2) 2x+3y6 have the same slope.

So we can also say that linear programing has multiple optimal solutions.

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