← 2019 Paper 2
UPSC 2019 Maths Optional Paper 2 Q1e — Step-by-Step Solution
10 marks · Section A
Graphical method · Linear Programming · asked 5× in 13 yrs · Read the full method →
Question
Use graphical method to solve the linear programming problem. Maximize Z=3x1+2x2 subject to
x1−x2x1+x3≥1,≥3
and x1,x2,x3≥0.
Technique
Graphical method; recognize the redundant slack-like variable x3, reduce to the plane, identify the single vertex and an unbounded edge along which Z→∞.
Solution
Step 1 — Reduce to a planar (graphical) problem
The objective Z=3x1+2x2 does not involve x3. The variable x3 appears only in the second constraint x1+x3≥3. Since x3≥0 is free to be as large as we like, the constraint x1+x3≥3 can always be satisfied for any x1≥0 (choose x3≥3−x1, e.g. x3=max(0,3−x1)). Hence the second constraint imposes no restriction on the objective variables (x1,x2).
The problem therefore reduces, in the (x1,x2)-plane, to:
maximize Z=3x1+2x2s.t.x1−x2≥1, x1≥0, x2≥0.
Step 2 — Feasible region in the (x1,x2)-plane
x1−x2≥1 is the half-plane on/below the line x2=x1−1 (intercept (1,0), slope 1), intersected with the first quadrant. The boundary line meets the x1-axis at (1,0). The region is the set
{(x1,x2):x1≥0, x2≥0, x2≤x1−1},
a wedge opening to the right, unbounded in the +x1 (and along it +x2) direction. Its only vertex is (1,0).
Step 3 — Behaviour of the objective on the region
Move along the edge x2=x1−1 (a feasible boundary, with x2≥0⇔x1≥1):
Z=3x1+2(x1−1)=5x1−2→+∞as x1→∞.
So Z can be made arbitrarily large within the feasible region.
Answer
The LPP has an unbounded solution: maxZ=+∞ (no finite optimum).