Exercise 12.1 · Q4: Minimise on an unbounded region
Solve the following Linear Programming Problems graphically:
Minimise
such that , , .
Draw the lines (graph):
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.
At B, subtracting from gives , so , .
The region is unbounded, so we check the open half-plane . Draw the line dashed (graph), through and .
On the region, and , so
So the half-plane has no point in common with the feasible region.
Minimum at .
Want the reason behind every step, the basics and the checks?
Two "" constraints keep the far sides of their lines, so the feasible region goes on for ever. For an unbounded region the smallest corner value is only a candidate: it is the minimum exactly when the open half-plane has no point in common with the region. Here that half-plane misses the region, so the smallest corner value, 7, is the minimum.
- Given
- and the constraints , , , .
- To find
- The minimum value of on the feasible region, and where it occurs.
- Plan
- (1) and (2) Draw each line and choose its side. (3) Shade the region and see that it is unbounded. (4) Find the corners. (5) Make the table of . (6) Apply the open half-plane test to the smallest value. (7) Conclude.
Basics you need
Draw from its axis points; test to choose the side. For "" with a positive right side the test fails, so the far side is kept. 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 and goes on for ever in some direction. Basics: bounded or not
Corners are where two boundary lines meet; is worked out at each, and the smallest value is called . Basics: a corner solves two equations
is the minimum of if the open half-plane has no point in common with the region; otherwise has no minimum. "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
Put : . Put : , so . So the line joins and .
Test in : is false, so this constraint keeps the side of the line away from the origin.
"At least 3" fails at the origin, where . The inequality then holds on the whole other side, the side away from O.Draw the line and choose its side
Put : . Put : . So the line joins and .
Test in : is false, so again the side away from the origin is kept.
Same reasoning. This line meets the -axis at 2, before the first line (at 3), but the -axis at 2, above the first line (at 1). So the two lines cross in the first quadrant.Shade the feasible region: it is unbounded
In the first quadrant the region lies beyond both lines. It is shaded below; the dashed line and the light rose part are used in Step 6.
The feasible region of Exercise 12.1 Q4 (blue, drawn with equal scales). Its corners are A(3, 0), B and C(0, 2), and it is open towards the top right. The dashed line is , through , B and ; the light rose part is the open half-plane , where . It meets the region nowhere. 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.
Both constraints say "at least", so there is no upper limit on or : the region runs off to the right along the -axis and up along the -axis. This is why the corner table alone will not be enough.Find the corner points
A , where meets the -axis: it obeys , since .
C , where meets the -axis: it obeys , since .
B, where the two lines cross:
and . So B is ; check: , .
The other crossing points are not in the region: gives , gives , and O breaks both.
Four boundary lines (the two constraint lines and the axes) cross in six points; the three that obey every constraint are the corners. Subtracting the equations removes , because both have .Work out at each corner
Corner point A B ← smallest C So , at B.
If the region were bounded, Theorem 2 would make 7 the minimum at once. It is unbounded, so 7 may or may not be the minimum, 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 , and also through B, since . It is drawn dashed because the line itself is not included. The half-plane is the side containing the origin, since .
It has no point in common with the region. Every feasible point has and , so
So never holds on the feasible region. In the graph the light rose half-plane and the blue region meet only at the single point B, which is on the dashed line and so not in the open half-plane.
The half-plane is exactly the set of points where would beat the best corner. If a feasible point lay in it, 7 would not be the minimum. The identity (check: , ) writes using the two constraint expressions, and adding two "at least" facts gives an "at least" fact. That proves, for the whole infinite region, what the graph shows.Conclude
No feasible point gives , and is reached at B. So minimum at .
The region being unbounded only makes it possible for the minimum to fail; the test shows it does not fail here. The maximum is another matter (it was not asked): along the value grows without limit, so has no maximum on this region.
The feasible region is unbounded, with corners , and , where . The open half-plane has no point in common with the region, so
(Textbook answer: Minimum at .)
Other feasible points all give more than 7: gives , gives , and , on the edge , gives ✓.
Equality in needs and together, which happens only at B: so B is the only point where the minimum is reached ✓.
A computer check of every point of the region whose coordinates are multiples of , up to 20, found the smallest value 7, at only ✓.
- Shading towards the origin. At , and are false, so the far sides are kept.
- Stopping at the table. The region is unbounded, so 7 must be confirmed by the open half-plane test before it is called the minimum.
- Using a closed half-plane. The test uses , not : B itself gives exactly 7, so a "" test would always find a common point.
- Including or as corners. Each lies on one line but breaks the other constraint.
- "" constraints with positive right sides keep the far sides and usually give an unbounded region.
- On an unbounded region: make the table, then test the open half-plane (for a minimum) or (for a maximum).
- Here the test passes and the minimum exists; in Example 4 the test fails and there is no minimum.
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, 2 | Class XI, Linear Inequalities (Basics, Basics) |
| Bounded: can be enclosed within a circle; otherwise unbounded | Step 3 | Section 12.2.2, footnote to Theorem 2 (Basics) |
| Corner point: where two boundary lines meet | Step 4 | Section 12.2.2, footnote to Theorem 1 (Basics) |
| Unbounded region: a maximum or minimum may not exist (Remark after Theorem 2) | Step 5 | Section 12.2.2 |
| Open half-plane test for (printed as 4(b) under step 3(ii)) | Step 6 | Corner Point Method, Section 12.2.2 (Lesson) |
| Adding inequalities in the same direction; multiplying by a positive number | Step 6 | Class XI, Linear Inequalities |
| Answer | Result | NCERT answer key, Exercise 12.1 Q4 |
| All values | Steps, Check | Recomputed with exact fractions in the site's verification script |
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