Exercise 12.1 · Q2: Minimise on a bounded region
Solve the following Linear Programming Problems graphically:
Minimise
subject to , , , .
Draw the lines (graph):
through and ;
through and .
At : and are true, so shade the side of each line that contains the origin. With , the feasible region is OABC (shaded). It is bounded.
At B, subtracting from gives , so , .
The region is bounded, so the smallest value in the table is the minimum of .
Minimum at .
Want the reason behind every step, the basics and the checks?
Two "" constraints and give a closed quadrilateral. On a bounded region a linear has a minimum, at a corner. The only new point is the minus sign in : a negative value such as is smaller than , so the minimum here is a negative number.
- 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 from its axis points and choose its side. (3) Shade the feasible region and see that it is bounded. (4) Find the corners. (5) Make the table of . (6) Read off the minimum.
Basics you need
For , put , then , and join the two points. Basics: where a line meets the axes
Put into the inequality: true means shade the origin's side, false means the other side. Basics: one side of a line
Where two boundary lines meet; solve their two equations together, then check the point in every constraint. Basics: a corner solves two equations
If the region can be enclosed in a circle, has a maximum and a minimum on it, and each occurs at a corner point (Section 12.2.2). Basics: bounded or not
On the number line lies to the left of , so : the "smallest" value is the most negative one.
Solution
Draw the line and choose its side
Put : . Put : , so . So the line joins and .
Test in : is true, so this constraint keeps the side of the line that contains the origin.
The boundary of is the line , and its two axis points are the quickest points to find. One test point tells us which whole side satisfies the inequality.Draw the line and choose its side
Put : , so . Put : , so . So the line joins and .
Test in : is true, so again the origin's side is kept.
Same method. This line is steeper than the first, so it meets the -axis sooner (at 4 instead of 8) but the -axis higher (at 6 instead of 4). The two lines therefore cross inside the first quadrant.Shade the feasible region
The constraints , keep the first quadrant. The part of it on the origin's side of both lines is the quadrilateral OABC:
The feasible region OABC of Exercise 12.1 Q2 (shaded), drawn with equal scales. Its corners are O(0, 0), A(4, 0), B(2, 3) and C(0, 4); the points and are outside the region. OABC is bounded: every corner is at most 4 from O (B is , about 3.6, from O), so a circle about O of radius 5 encloses it.
The feasible region is where all four kept sides overlap. Because it is bounded, the smallest corner value will certainly be the minimum.Find the corner points
O , where the axes meet.
A , where meets the -axis. The other line meets the -axis at , but there , so breaks and is not a corner.
C , where meets the -axis. The point breaks : .
B, where the two lines cross:
and then , so . So B is , and it obeys every constraint: , , .
The two lines and the two axes cross in six points; only the four that obey every constraint are corners. Subtracting the equations removes , because both contain .Work out at each corner
Corner point O A ← smallest B C By Theorem 1 the minimum is at a corner, so these four values are the only candidates. The smallest is (and the largest, not asked for, is at C).Conclude
The region is bounded, so by Theorem 2 the smallest value in the table is the minimum of : minimum at .
To make small we want large (it is subtracted) and small (it is added). The largest in the region is 4, and it is reached with : exactly the corner A.
The feasible region is bounded, with corners , , and , and
(Textbook answer: Minimum at .)
A direct proof that nothing is below : on the region , so gives . Then , with equality only when and , that is at ✓.
Two other feasible points: gives , and gives ; both are above ✓.
A computer check of all 16 whole-number points of the region found the smallest value , at only ✓.
- Dropping the minus sign. At A, , not 12.
- Calling 0 the minimum. O gives 0, but A gives , and . With a minus sign in , the origin is often not the minimum.
- Using as a corner. It lies on but breaks .
- Assuming the crossing point B is the answer. It gives 6; the table decides.
- A negative coefficient in is handled the same way; just compare the values with their signs.
- For a minimum, the answer is the smallest (most negative) value in the table when the region is bounded.
- Compare Exercise 12.1 Q1 (one line) and Example 2 (a minimum with a "" constraint).
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) |
| Feasible region: common region of all the constraints | Step 3 | Section 12.2.2 (Basics) |
| Bounded: can be enclosed within a circle | 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) |
| Theorem 1 and Theorem 2 | Steps 5, 6 | Section 12.2.2 |
| Corner Point Method, step 3(i): bounded region | Step 6 | Section 12.2.2 (Lesson) |
| Answer | Result | NCERT answer key, Exercise 12.1 Q2 |
| All values | Steps, Check | Recomputed with exact fractions in the site's verification script |
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