MCQ
Let X1 and X2 are optimal solutions of a LPP, then
Options
X = λ X1 + (1 − λ) X2, λ ∈ R is also an optimal solution
X = λ X1 + (1 − λ) X2, 0 ≤ λ ≤ 1 gives an optimal solution
X = λ X1 + (1 + λ) X2, 0 ≤ λ ≤ 1 gives an optimal solution
X = λ X1 + (1 + λ) X2, λ ∈ R gives an optimal solution
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Solution
X = λ X1 + (1 − λ)X2, 0 ≤ λ ≤ 1 gives an optimal solution
A set A is convex if, for any two points, x1, x2 ∈ A, and \[\lambda \in \left[ 0, 1 \right]\] imply that \[ \lambda \text{ x } _1 + \left( 1 - \lambda \right) x_2 \in A\] .
Since, here X1 and X2 are optimal solutions
Therefore, their convex combination will also be an optimal solution
Thus, X = λ X1 + (1 − λ) X2, 0 ≤ λ ≤ 1 gives an optimal solution.
Concept: Introduction of Linear Programming
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