Exercise 12.1 · Q9: Maximise : no maximum on an unbounded region
Solve the following Linear Programming Problems graphically:
Maximise , subject to the constraints:
, , , .
Draw the lines (graph):
, parallel to the -axis through ;
through and ;
through and .
At : , and are false, so shade the side of each line away from the origin. With , the feasible region (shaded) is unbounded.
A: in gives .
B: subtracting from gives , so .
The region is unbounded, so we check the open half-plane . Draw the line dashed (graph), through and .
The point is feasible, as , , , . It gives , so this half-plane has points in common with the feasible region.
has no maximum value.
Want the reason behind every step, the basics and the checks?
On an unbounded region the largest corner value is only a candidate: it is the maximum exactly when the open half-plane has no point in common with the region. Here the region runs upwards for ever, and grows as grows, so the half-plane does meet the region: one feasible point in it is enough to show that there is no maximum.
- Given
- and the constraints , , , .
- To find
- The maximum value of , if there is one.
- Plan
- (1) to (3) Draw each line and choose its side. (4) Shade the region and see that it is unbounded. (5) Find the corners. (6) Tabulate . (7) Apply the open half-plane test to the largest value, with a feasible point as a witness.
Basics you need
Draw from its axis points; is the vertical line through . Test to choose the side. Basics: where a line meets the axes · Basics: which side
A region is bounded if a circle can be drawn round it; otherwise it is unbounded. Basics: bounded or not
Corners are where two boundary lines meet; is worked out at each, and the largest value is called . Basics: a corner solves two equations
is the maximum of if the open half-plane has no point in common with the region; otherwise has no maximum. "Open" means the line itself is left out, so it is drawn dashed. Basics: lines of equal Z
Solution
Draw the line and choose its side
The line is parallel to the -axis, through . Test in : is false, so this constraint keeps the side away from the origin, to the right of the line.
Every point of the line has ; "" keeps the points with larger . This constraint also makes unnecessary (any is positive); the book does not list here.Draw the line and choose its side
Put : . Put : . So the line joins and .
Test in : is false, so the side away from the origin is kept.
"At least 5" fails at the origin, so the far side is kept.Draw the line and choose its side
Put : . Put : , so . So the line joins and .
Test in : is false, so again the side away from the origin is kept.
Same reasoning as for the other two lines: all three constraints say "at least", so all three keep the far side.Shade the feasible region: it is unbounded
Above the -axis, the region lies to the right of and beyond the other two lines. It is shaded below; the dashed line and the darker part are used in Step 7.
The feasible region of Exercise 12.1 Q9 (shaded, drawn with equal scales). Its corners are A(3, 2), B(4, 1) and C(6, 0), and it is open upwards and to the right. The dashed line is , through and A; the darker part of the region lies in the open half-plane , where . It contains . The region is unbounded: every point with is in it (, , , ), and these points go as far from O as we like, so no circle can enclose the region.
All the constraints say "at least", so nothing limits or from above: the region runs up along the line and out along the -axis. So the corner table alone will not be enough.Find the corner points
A: put in : . A is ; it obeys , since .
B: subtract from : , then . B is ; it obeys .
C , where meets the -axis: it obeys and , since and .
The other crossing points are not in the region: , where meets , gives ; gives ; and gives .
The four boundary lines are , , and the -axis (the -axis is not a boundary here). They cross in six points; the three that obey every constraint are the corners.Work out at each corner
Corner point A ← largest B C So , at A.
If the region were bounded, Theorem 2 would make 1 the maximum at once. It is unbounded, so 1 may or may not be the maximum, and the next step decides.The open half-plane test for
Following step 3(ii) of the Corner Point Method, we look at the open half-plane . Its boundary passes through and A ; it is drawn dashed because the line itself is not included. The half-plane is the side away from the origin, since is false.
The point is in the feasible region: , , , . It is also in the half-plane: . So the half-plane has points in common with the feasible region (the darker part of the graph), and has no maximum value.
The half-plane contains exactly the points where beats the best corner, and one feasible point there is enough to show that 1 is not the largest value. In fact has no largest value at all: at the feasible points , , , which exceeds any number as grows.
The feasible region is unbounded, with corners , and , where . The largest corner value 1 is not a maximum, because the open half-plane contains the feasible point . So
(Textbook answer: Z has no maximum value.)
Feasible points with ever larger : gives , gives , gives , and gives ✓.
Each fits on the edge : gives 17 and gives 97 ✓.
The corner A lies on the dashed line: ✓, and so does : ✓.
- Stopping at the table. On an unbounded region, "maximum at " is wrong; the half-plane test shows there is no maximum.
- Using a closed half-plane. The test uses , not : the corner A itself gives exactly 1.
- Using or as a corner. Each lies on two boundary lines but breaks a third constraint.
- Adding the line as a boundary. It is not a constraint here; already keeps the region to the right of .
- Unbounded region: test for a maximum, with the dashed line .
- To show there is no maximum, one feasible point in the open half-plane is enough: name it and check it in every constraint.
- Compare Q4, where the half-plane misses the region and the optimum exists.
Every fact used, and where it comes from
| Fact | Used in | Source |
|---|---|---|
| A line from its axis points; a test point chooses the side | Steps 1 to 3 | Class XI, Linear Inequalities (Basics, Basics) |
| Bounded: can be enclosed within a circle; otherwise unbounded | Step 4 | Section 12.2.2, footnote to Theorem 2 (Basics) |
| Corner point: where two boundary lines meet | Step 5 | Section 12.2.2, footnote to Theorem 1 (Basics) |
| Unbounded region: a maximum or minimum may not exist (Remark after Theorem 2) | Step 6 | Section 12.2.2 |
| Open half-plane test for (printed as 4(a) under step 3(ii)) | Step 7 | Corner Point Method, Section 12.2.2 (Lesson) |
| Answer | Result | NCERT answer key, Exercise 12.1 Q9 |
| All values | Steps, Check | Recomputed with exact fractions in the site's verification script |
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