How to Use This Section
Sixteen fully worked problems in four graded batches: straightforward bounded problems, then floor-constraint and unbounded problems, then double-objective and pathological cases (no optimum, no region), then a mixed batch with fractional corners and ties. Attempt each on paper — draw the region every single time — before reading the solution.
Every solution below follows the same skeleton: corners → table → conclusion, with the half-plane test inserted whenever the region is unbounded. That skeleton is the exam answer format.
Key Point: the most common LP errors are not arithmetic. They are: mis-shading a half-plane (test with the origin!), missing a corner, evaluating at a point outside the region, and trusting the table over an unbounded region without the test. Each batch below deliberately walks through these traps.
Batch 1 — Bounded Regions (Easy)
Example 1: One constraint plus the axes
Maximise subject to , .
Solution:
- Region: the triangle with corners , , .
- Table: .
Answer: maximum at — the larger coefficient (, on ) pulls the optimum to the -intercept.
Example 2: A negative coefficient
Minimise subject to , , .
Solution:
- Corners: , , (from , ), .
- Table: .
Answer: minimum at — negative objective values are perfectly legal; the table sorts them like any others.
Example 3: A fractional corner wins
Maximise subject to , , .
Solution:
- Corners: , , (solving the two lines), .
- Table: .
Answer: maximum at — corners need not be whole numbers, and ; never round a corner away.
Example 4: A clean bounded maximisation
Maximise subject to , , .
Solution:
- Corners: , , , .
- Table: .
Answer: maximum at .
Batch 2 — Floors and Unbounded Regions (Medium)
Example 5: An unbounded minimum that DOES exist
Minimise subject to , , .
Solution:
- Corners of the unbounded region: , (solving the two lines), .
- Table: — smallest .
- Half-plane test (region unbounded): does meet the region? The open half-plane lies below the line , and the whole feasible region sits on or above both floor lines — no common point.
Answer: minimum at — the test passed, so the smallest table entry is genuinely the minimum.
Example 6: Minimum along a whole edge
Minimise subject to , , , and show the minimum occurs at more than two points.
Solution:
- Corners: and (the line meets both axes inside the region; satisfies exactly).
- Table: and — a tie.
- The tie's meaning: the objective is parallel to the binding constraint , so every point of the segment joining and gives ; the unbounded-region test on finds no common point.
Answer: minimum at every point of the segment from to — infinitely many optimal solutions.
Example 7: A shifted lower bound
Maximise subject to , , .
Solution:
- Corners: , , — the constraint slices off the strip left of .
- Table: .
Answer: maximum at — constraints like are vertical boundary lines, treated exactly like any other.
Example 8: Unbounded, yet the minimum survives — on an edge
Minimise subject to , .
Solution:
- Corners: and , both giving .
- Test: is exactly the excluded side of the floor constraint — no common point with the region.
Answer: minimum , attained at every point of the segment joining and — an unbounded region with a tie and a genuine minimum, all in the simplest possible problem.
Batch 3 — Double Objectives and Pathologies (Medium-Hard)
Example 9: Minimise and maximise together
Minimise and maximise subject to , , , .
Solution:
- Corners: , , , .
- Table: .
- Read both ends: minimum ; maximum tied at and .
Answer: minimum at ; maximum at every point of the segment joining and .
Example 10: Another double, with the tie at the minimum
Minimise and maximise subject to , , , .
Solution:
- Corners: , , , .
- Table: .
Answer: minimum at every point of the segment joining and (the objective is parallel to the floor constraint); maximum at .
Example 11: No maximum exists
Maximise subject to , , , .
Solution:
- Corners of the unbounded region: , , ; values — largest .
- Half-plane test: does meet the region? Yes — for large (with , any works), the region climbs without limit and grows with it.
Answer: has no maximum — every floor constraint leaves the region open upward, and the objective rewards exactly that direction.
Example 12: No feasible region
Maximise subject to , , .
Solution:
- Read the two constraints: says ; says .
- Contradiction: no point can satisfy and simultaneously.
Answer: there is no feasible region and hence no maximum — recognising the contradiction algebraically saves the whole graph.
Batch 4 — Mixed Practice (Medium)
Example 13: Two floors, one cheap corner
Minimise subject to , , .
Solution:
- Corners: , (solving the two lines), .
- Table: ; smallest .
- Test (unbounded): shares no point with the region.
Answer: minimum at .
Example 14: A comfortable maximisation
Maximise subject to , , .
Solution:
- Corners: , , (solving the lines), .
- Table: .
Answer: maximum at .
Example 15: A designed tie
Maximise subject to , .
Solution:
- Corners: , , .
- Table: — tie at both nonzero corners.
- Why: is a multiple of the constraint's left side — the objective line is parallel to the boundary .
Answer: maximum at every point of the segment joining and — whenever the objective is proportional to a binding constraint, expect a whole optimal edge.
Example 16: Fractional corner again, minimum this time
Maximise subject to , , .
Solution:
- Corners: , , (solving the lines), .
- Table: .
Answer: maximum at — the interior intersection beats both intercept corners, as it usually does when the objective weights both variables comparably.