MHT-CET Maths · Linear Programming
Feasible Region — Half-Plane Tests, Bounded, Unbounded and Empty
Each linear inequality keeps one side of its boundary line; the feasible region is the intersection of those half-planes, and it can be a bounded polygon, an unbounded region, or nothing at all.
Why this matters
16 PYQs, none HARD — the chapter's opening move. Half the stems hand you four figures and ask which one is the solution set; the rest ask whether a region is bounded, unbounded or empty, or for its vertices. Every one is settled by a test point per line, and the empty-region stem has a two-line algebraic proof that beats any sketch.
Concept 1 of 3: The Half-Plane Test: Draw the Line, Test a Point, Keep One Side
Definition
- Draw from its intercepts and .
- Origin test: for , is true, so keep the origin side. For , is false, so keep the far side.
- A line THROUGH the origin (, ) needs another test point, e.g. : is true, so is the side containing , below the line.
- restricts everything to the first quadrant; is the region left of the vertical line, the region below the horizontal one.
- For , , , : the region is the polygon with vertices , , , — the one graph among four that is bounded above by and cut by on the left.
Half-plane test
Worked example
Practise this conceptself-check · 4 quick reps
The same idea in a real exam question:
Example 1 · Linear Programming · Feasible Region — Half-Plane Tests, Bounded, Unbounded and Empty
Testing the origin on a line through it
Concept 2 of 3: Bounded, Unbounded or Empty: Classify Before You Optimise
Definition
- , , : the constraint caps both variables, so the region is the bounded triangle , , — never binds.
- , , : nothing caps , so the region is unbounded along the -axis.
- , : the strip between and in the first quadrant — unbounded (not a polygon, not finite).
- Empty (null set): with : from the second, . No point satisfies both.
- A bounded region always has both a maximum and a minimum of any linear objective; an unbounded one may lack one of them.
Empty-region proof
Worked example
Practise this conceptself-check · 4 quick reps
The same idea in a real exam question:
Example 2 · Linear Programming · Feasible Region — Half-Plane Tests, Bounded, Unbounded and Empty
Calling every first-quadrant region bounded
Concept 3 of 3: Vertices of the Region: Intersect Pairs of Boundaries, Then Check the Rest
Definition
- , , , , : candidates on the axes , , ; meets at ; never binds (it would need with , , impossible). Vertices , , , .
- , , , : the strip between two parallel lines, right of , under : corners , , , .
- , , : at , runs from to ; meets at . Triangle , , .
- An option listing or for the first example is built from the non-binding constraint; a vertex must satisfy ALL constraints.
Vertex test
Worked example
Practise this conceptself-check · 4 quick reps
The same idea in a real exam question:
Example 3 · Linear Programming · Feasible Region — Half-Plane Tests, Bounded, Unbounded and Empty
Keeping an intersection that a third constraint kills
Summary — formulas & gotchas at a glance
A revision cheat-sheet for the formulas and gotchas above. Click any concept name to jump back to its full explanation.
Formulas (3)
Watch out for (3)
- Testing the origin on a line through it→ The Half-Plane Test: Draw the Line, Test a Point, Keep One Side
- Calling every first-quadrant region bounded→ Bounded, Unbounded or Empty: Classify Before You Optimise
- Keeping an intersection that a third constraint kills→ Vertices of the Region: Intersect Pairs of Boundaries, Then Check the Rest
Test yourself on Linear Programming
15 past MHT-CET questions from this chapter, timed at 27 minutes and marked the way the exam marks it. You see your score and every answer the moment you finish. Free to start.