Systems of Inequalities: Free Response
5 questions in parts, 91 points in total. Work each one out on paper, taking a hint if you get stuck. When you have an answer, reveal the answer to check it, and the full solution only if you still want it. The rubric is there so you can mark your own work.
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1. Five constraints, and how many of them the region needs . Foundational, 20 points. Question 1 of 5.
A region in the plane is cut out by five constraints at once: , , , , and . This question asks which of them are actually shaping the region, and settles that two different ways.
- Part A.
Set the constraint aside for the moment. Find every corner of the region cut out by the four that remain, , , and , showing the two-equation system you solved for the corner that lies on neither axis.
Solve and show your work Write each step out, and end with the value and its units. 4 points
- Part B.
Evaluate at each of the four corners from part A. Using only those four values, decide whether the region cut out by all five constraints differs from the region in part A, and explain how four points can settle a question about infinitely many.
Carry your own answer forward Use your own corner list from part A; if that part did not come out, work it again first, since this part needs only your corner list itself, not how it was found.
Justify your claim State the claim, then give the reason it has to be true. 7 points
- Part C.
Give a second argument that never mentions a corner. Scale and by positive numbers of your choice and combine them into one inequality bounding from above at every point of the region. State the bound, say what it settles about , and say what each of your two arguments would need if the region were unbounded instead.
Complete the derivation Each line should follow from the one above it. Say what lets you take each step. 5 points
- Part D.
Now put a different constraint to the same test. Find one point satisfying , , and that fails , checking it against all five constraints. Then say what a single such point establishes that an unsuccessful search for multipliers would not.
Construct a counterexample Give one specific case, and show it breaks the claim. 4 points
Hints
One at a time, each one a step further than the last. Take only as many as you need.
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Hint 1 of 4
A constraint earns its keep only if deleting it would let new points into the region. That is a claim about every point at once, so a drawing can suggest an answer but only algebra can settle one.
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Hint 2 of 4 · Part A
Every crossing of two boundary lines is a candidate, and a candidate becomes a corner only once it passes the constraints that were not used to find it. Two of the crossings here do not.
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Hint 3 of 4 · Part C
If one quantity is at most and a second is at most , their sum is at most . Look at what the two left sides add up to, and at what you can then divide by.
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Hint 4 of 4 · Part D
Travel along the -axis, where the constraint under test grows fastest, and push outward until one of the other constraints stops you.
That is every hint for this question.
Answer and solution
Check your answer first. If it is wrong, go back to your paper: the worked solution will still be here.
The answer
Part A
, , and , the third of them from solving together with .
Part B
At the four corners takes the values , , and , all of them at most , so the fifth constraint removes nothing and the two regions are the same set. The region is bounded and includes its boundary, and a linear expression on such a region takes its largest value at a corner, so no other point can beat .
Part C
Adding the two constraints gives , so at every point, which forces . The combination argument needs no boundedness and runs unchanged. A corner argument stays available whenever an optimum exists and the region has corners; unboundedness on its own rules out neither argument.
Part D
: it has , and , but . One such point settles the matter outright, while failing to find multipliers shows only that the search failed.
Not what you got? Look for the slip on your own paper before you open the solution. Finding it yourself is worth more than reading it.
Worked solution
Part A
Two boundary lines cross at a candidate corner, and a candidate counts only once it also satisfies the constraints that were not used to find it.
On the axes, meets at , and , so that point is feasible. The line meets at , and , so that one is feasible too. The origin satisfies all four constraints, so it is a corner as well.
For the corner on neither axis, solve the two slanted boundaries as a system. From comes , and substituting that into gives
Then , so the corner is . Both slanted constraints hold there with equality, and and hold as well, so it is genuinely in the region.
Two further crossings are not corners at all. The line meets at , where , and meets at , where . Each fails a constraint it was not built from, so neither belongs to the region.
Part B
Evaluate the linear expression at each corner in turn.
The largest of the four is , at . On its own that is not yet a statement about the region, which holds infinitely many points while only four were tested.
The corner point principle supplies the missing step, used here in a direction it is not usually used in. What the principle itself says is that wherever a linear expression on a region with corners has a largest value, at least one corner attains it, so the existence of that largest value has to be settled first. On a bounded region it is: slide the line upward and the region runs out beneath it, so the slide cannot go on forever, and because the boundaries are solid the last line still meeting the region does meet it. A largest value therefore exists, and the principle then puts it at a corner. The expression is linear, and the region from part A is bounded and has solid boundaries, so its largest value there is among the four just computed. Hence at every point of that region, corner or not.
Since , every point of the part A region already satisfies . Adding that constraint therefore removes no point, and the region cut out by all five constraints is exactly the region cut out by the four.
Note what the principle is doing. It is not being used to find a best plan; it is being used to turn a check at four points into a claim about every point.
Part C
Adding two inequalities that point the same way is always legal: if and then . Add the two constraints as they stand, that is with multiplier on each.
Dividing by the positive number keeps the direction.
Every point of the region satisfies both constraints that were added, so every point satisfies this, corner or not. And forces , so the fifth constraint holds throughout the region and cuts nothing off it. That is the same conclusion as part B, reached without a single corner.
The bound is exactly the corner maximum from part B, so this choice of multipliers is the best that these two constraints can do.
The two arguments lean on different things. The combination argument never mentions boundedness at all: it only adds inequalities that every point of the region already satisfies, so it runs word for word whether the region is bounded or not.
The corner argument uses boundedness for one job, to know in advance that a largest value exists. The principle itself asks only that an optimum exist, and then places it at a corner, so a corner argument is still available on an unbounded region whenever the optimum is known to exist and the region has corners to check. An unbounded region can carry a linear objective with a largest value, and can carry one without, so unboundedness on its own settles neither: what it removes is the guarantee, not the possibility.
The combination argument also runs unchanged in three variables or more, where there is no picture to look at, since adding inequalities never mentions how many variables are present.
Part D
Look along the -axis, where grows fastest per unit moved. Setting and pushing out, caps at while would allow , so the binding cap is and is the far end of what the other constraints permit.
So the point clears both of the constraints it has to satisfy, along with and , while the constraint under test fails there.
So lies in the region cut out by the other four constraints and outside the region cut out by all five. The two systems have different solution sets, and cannot be deleted.
That is what one point establishes. Deleting a constraint safely is a claim about every point of a region at once, so its denial needs only a single witness, and exhibiting one is a complete argument that needs nothing else. An unsuccessful search for positive multipliers proves nothing at all: it rules out the multipliers that were tried, not the existence of others, and it says nothing whatever about the points of the region. The two jobs call for different kinds of evidence, a derivation on one side and a point on the other.
In one line
The corners are , , and , the third from solving with . There takes the values , , and , so on this bounded region its largest value is and holds everywhere: the five-constraint region and the four-constraint region are the same set. Adding the two slanted constraints proves the same thing without corners, since gives at every point, and that argument does not need boundedness. The constraint is the opposite case: satisfies the other four and fails it, so deleting it would genuinely enlarge the region.
Rubric
Mark your own paper against this. Give yourself the points for each element you actually wrote down, not the ones you meant to.
Part A 4 points
Solves the two slanted boundary equations as a system and reports the resulting point. . Worth 2 points.
Tests each candidate against the constraints that were not used to produce it, keeping the candidates that pass and rejecting those that fail. . Worth 2 points.
Part B 7 points
Evaluates x + y at all four corners correctly. . Worth 2 points.
Reaches the correct conclusion about whether the five-constraint region and the four-constraint region are the same set. . Worth 2 points.
Justifies the step from four points to every point by naming the corner point principle applied to the expression x + y, together with the boundedness and the solid boundaries it needs. . Worth 3 points. needs an explanation, not just an answer
Part C 5 points
Combines the two constraints with positive multipliers, keeps the direction through the division, and reaches a bound on x + y. . Worth 2 points.
States that the derived bound holds at every point of the region because every point satisfies both constraints combined, and says what that settles about the constraint under test. . Worth 2 points. needs an explanation, not just an answer
Says what each of the two arguments would need from an unbounded region, and what unboundedness on its own does and does not settle. . Worth 1 point.
Part D 4 points
Checks the proposed point against each of the four constraints it must satisfy and against the fifth, with the arithmetic shown. . Worth 2 points.
Explains that one witness point is enough because the claim being denied is about every point of the region, while an unsuccessful search for multipliers leaves the question open. . Worth 2 points. needs an explanation, not just an answer
Try a similar problem (Optional)
Same idea, different numbers. Work it on paper, then check yourself the same way.
Decide whether can be deleted from the system , , , , , twice over: once by testing it at the corners of the region the first four constraints define, and once by combining those constraints.
The answer
Yes, it can be deleted. The corners are , , and , where reaches at most , and adding the two slanted constraints gives , that is , at every point. Either way removes nothing.
First the corners of , , , . On the axes, meets at , which satisfies , and meets at , which satisfies . Subtracting the second slanted equation from the first eliminates .
Then , so and the fourth corner is . Evaluating gives
with largest value , so holds everywhere on a bounded region whose maximum is .
The combination reaches the same bound with no corners at all. Add the two slanted constraints.
Dividing by the positive number keeps the direction, leaving at every point of the region.
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2. The side of the region with no wall . Reasoning, 18 points. Question 2 of 5.
This region is defined by inequalities alone, with no story behind it to force to be positive: , , and . All three boundaries are solid. The objective is .
- Part A.
Find every corner of this region, naming for each the pair of boundary equations you solved, and evaluate there. State how many corners the region has, and account for the pair of boundary lines that produces none.
Solve and show your work Write each step out, and end with the value and its units. 4 points
- Part B.
Prove that the larger of your two corner values from part A is the largest value takes anywhere in the region, not merely the larger of two numbers. Argue from the constraints themselves, and identify every point at which your bound is reached.
Carry your own answer forward Carry your own larger corner value from part A into this part; the argument runs the same way whatever number you found there, and the bound you build here will confirm it or correct it.
Complete the derivation Each line should follow from the one above it. Say what lets you take each step. 5 points
- Part C.
Show that has no minimum on this region: starting from an arbitrary feasible point, produce another feasible point whose value of is strictly smaller, and name the feature of the region that makes that always possible.
Justify your claim State the claim, then give the reason it has to be true. 4 points
- Part D.
A student writes: "The region is unbounded, so has no maximum on it." Judge that reasoning against this region, state what knowing only that a region is unbounded does and does not settle, and test your statement against the second objective on this same region.
Explain why it works A sentence or two. Reasons, not steps. 5 points
Hints
One at a time, each one a step further than the last. Take only as many as you need.
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Hint 1 of 4
Two separate questions live here: which crossings of boundary lines actually lie in the region, and in which directions you could walk forever without leaving it.
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Hint 2 of 4 · Part A
Three lines make three pairs, and a pair of lines with the same slope produces no point at all.
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Hint 3 of 4 · Part B
Rewrite as a sum in which one piece is exactly a left side you already have an upper bound for, then bound whatever is left over.
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Hint 4 of 4 · Part C
Move a feasible point one unit in the direction the region has no wall, and check the new point against every constraint before trusting it.
That is every hint for this question.
Answer and solution
Check your answer first. If it is wrong, go back to your paper: the worked solution will still be here.
The answer
Part A
Two corners: , where , and , where . The pair and is parallel, so those two lines never meet and contribute no corner.
Part B
Every feasible point has , so , and then gives . Equality needs and at once, which happens only at , so is reached, and reached there alone.
Part C
From any feasible the point is feasible too, since lowering breaks neither nor , and it lowers by exactly . So no feasible point can hold the smallest value. Nothing in the system bounds the region on the left, and falls in that direction.
Part D
The reasoning fails here: this region is unbounded and still has a maximum. Boundedness with solid boundaries guarantees both extremes; its absence guarantees nothing either way. On this region has a maximum and no minimum, while has both, a maximum of and a minimum of .
Not what you got? Look for the slip on your own paper before you open the solution. Finding it yourself is worth more than reading it.
Worked solution
Part A
Three boundary lines make three pairs, so take them in turn.
The pair and gives , the point , which satisfies and so is feasible. The pair and gives , the point , which satisfies and so is feasible as well. The third pair, with , is two horizontal lines of the same slope at different heights: they never meet, so that pair produces no candidate at all.
The region therefore has exactly two corners. That count is already worth reading as a signal: a bounded polygon has at least three corners, so two of them says this region is not a polygon.
Part B
The move that makes this work is to write so that the constraints can be substituted straight into it: split into a piece that is a constrained left side and a piece left over.
The first piece is bounded by the third constraint and the leftover piece by the second.
Both steps hold at every point of the region, so everywhere: no feasible point, corner or not, beats .
An upper bound on its own promises nothing about being reached, so check the equality case. Equality in the first step needs , and equality in the second needs . Both hold together exactly when and , which is the corner , and that point is in the region. So the maximum is , it is attained, and is the only point attaining it.
This argument never asks whether the region is bounded, which is what makes it usable here.
Part C
Take any point of the region and step one unit to the left, to . Check it against all three constraints: is unchanged, so and still hold, and , so the third holds with room to spare. The new point is feasible.
So every feasible point has a feasible neighbour with a strictly smaller value, which means no feasible point can be the one where is smallest. There is no minimum.
Repeating the step drives down without limit, since for every whole number and all of those points are feasible. So is not merely unattained below; it is unbounded below.
What makes this work is that nothing in the system stops from decreasing. Only mentions at all, and it is an upper bound, so it never objects to a smaller . In a situation with a story behind it, the constraint would usually be there without being said; here there is no story, so it is genuinely absent.
Part D
The student's rule breaks on this very region. It is unbounded, since part C walks off to the left forever without leaving it, and yet part B proved that has a maximum of , attained at . So "unbounded" cannot imply "no maximum".
What is true runs one way only. A nonempty region that is bounded and includes its boundaries has both a maximum and a minimum for every linear objective, and a corner attains each. Turn that implication around and it fails: a region that is not bounded may still have one of them, or the other, or both.
Test that against on the same region. Every feasible point has , so never leaves that band, and both ends are reached, at and at . So an unbounded region can carry an objective with a maximum and a minimum both.
The reason is that unboundedness is a fact about the region alone, while having a maximum is a fact about the region and the objective together. This region runs away in one direction only, straight to the left. An objective whose value falls in that direction, like , keeps its maximum; one that ignores that direction, like , keeps both; and one that rises in it, such as , loses its maximum.
In one line
The region has exactly two corners, with and with , because the parallel pair and never meets. Writing bounds at every point, and equality needs and together, so the maximum is and alone attains it. There is no minimum: from any feasible point, is feasible with one lower, so is unbounded below. The student's rule is therefore wrong. Boundedness with solid boundaries guarantees both extremes, but unboundedness guarantees nothing: here has a maximum and no minimum, while has a maximum of and a minimum of on the very same region.
Another way: Slide the objective's level lines instead
The lines all have slope , and larger sits further up and to the right. This region runs away only to the left, which is the direction in which falls. So a level line slid up and to the right must eventually leave the region, and the last point it touches is the corner , while the same line slid the other way never leaves at all, which is the picture behind the missing minimum.
When it is worth it As a quick read on which of a maximum and a minimum an unbounded region can support, before committing to an algebraic bound.
Rubric
Mark your own paper against this. Give yourself the points for each element you actually wrote down, not the ones you meant to.
Part A 4 points
Solves each pair of boundary equations that meets, and confirms each resulting point against the constraint that was not used to find it. . Worth 2 points.
Reports the value of P at each corner and accounts for the pair of boundary lines that yields no corner. . Worth 2 points.
Part B 5 points
Bounds P using the constraints themselves rather than a list of corner values, by a route that applies to every point of the region. . Worth 2 points.
Chains the bounds into one number valid at every point, then settles the equality case, so the bound is shown to be reached and not merely never exceeded. . Worth 3 points. needs an explanation, not just an answer
Part C 4 points
Exhibits an explicit feasible neighbour of an arbitrary feasible point and checks that neighbour against every constraint. . Worth 2 points.
Concludes that no feasible point can carry the smallest value, tying that to the direction in which nothing bounds the region. . Worth 2 points. needs an explanation, not just an answer
Part D 5 points
Tests the student's reasoning against this region rather than against a remembered rule, and reports what the test shows. . Worth 2 points.
States the implication that does hold, in the direction it holds, and uses Q on the same region as a second test of the statement, reporting what that test shows. . Worth 3 points. needs an explanation, not just an answer
Try a similar problem (Optional)
Same idea, different numbers. Work it on paper, then check yourself the same way.
Take the region , , with the objective . Find its corners, decide which of a maximum and a minimum attains on it, and prove the one that exists.
The answer
The corners are and . has a minimum of , attained only at , since with equality only there; it has no maximum, since is feasible for every and gives .
The boundary lines are , and . The first and third meet at , which satisfies ; the second and third meet at , which satisfies ; and with is a parallel pair that never meets. So there are two corners, with
For the minimum, split into pieces the constraints bound.
Equality needs and together, so the minimum is , attained only at .
There is no maximum: the point satisfies all three constraints for every , and , which grows without limit.
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3. A target, two limits, and what they add up to . Application, 18 points. Question 3 of 5.
A garden club is building planter boxes for a school. A wide box holds trays of seedlings and a narrow box holds tray. The club has lumber for at most boxes altogether, and each wide box also needs one long rail, of which the club has only , so it can build at most wide boxes. The school has asked for enough boxes to hold at least trays. Let be the number of wide boxes and the number of narrow boxes.
- Part A.
Write the complete system of inequalities describing the club's situation, including any constraints the story does not state out loud, and say what each one stands for.
Model the situation Name your unknown first, then write every other quantity in terms of that one letter. 4 points
- Part B.
Using only the two limits, with and , find the largest value the tray count can take, and say what that value settles about the system you wrote in part A.
Justify your claim State the claim, then give the reason it has to be true. 5 points
- Part C.
The club can borrow more long rails, raising the cap on wide boxes from to some larger whole number . Find the smallest for which the order becomes possible, and describe every build plan that fills the order at that value of .
Solve and show your work Write each step out, and end with the value and its units. 4 points
- Part D.
Take the borrowed cap and the plan you found in part C. Say what the shape of the feasible region there means for the club, including how much room it leaves if one limit slips. Then explain why the bound built in part B settles the question for every point at once, in a way inspecting a drawing cannot, and why the same argument still runs in three variables where there is no drawing.
Carry your own answer forward Work from your own cap and plan from part C, whatever they came out to be; this part is about the shape of that answer rather than about its numbers.
Explain what it means Words, not just symbols. Say what the number is telling you about the situation. 5 points
Hints
One at a time, each one a step further than the last. Take only as many as you need.
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Hint 1 of 3
Two of the three limits both restrain the very quantity the order is counted in. Work out the largest tray count the club could ever reach before asking anything about the number the school named.
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Hint 2 of 3 · Part A
A count of boxes cannot be negative, and the story never bothers to say so; the system has to say it anyway.
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Hint 3 of 3 · Part C
Rebuild the ceiling from part B with the rail cap written as a letter, then ask how large that letter must be before the ceiling can reach the order.
That is every hint for this question.
Answer and solution
Check your answer first. If it is wrong, go back to your paper: the worked solution will still be here.
The answer
Part A
for the trays requested, for the lumber and for the rails, together with the unstated and , since neither kind of box can be built a negative number of times.
Part B
, and the plan reaches , so the tray count can rise no higher. The requested is therefore out of reach, no point satisfies all of part A at once, and the feasible region is empty: the club cannot fill the order.
Part C
. At that cap exactly one plan works, wide boxes and narrow ones, so the feasible region shrinks to the single point .
Part D
The region is a single point, so nothing has slack: one lost rail or board puts the order out of reach again. The bound in part B is an inequality every feasible point must obey, so it rules them all out at once, while a drawing shows only what fits on the page, and adding inequalities never mentions how many variables there are.
Not what you got? Look for the slip on your own paper before you open the solution. Finding it yourself is worth more than reading it.
Worked solution
Part A
Take the sentences one at a time. A wide box holds trays and a narrow box holds , so wide boxes and narrow ones hold trays, and the school asks for at least of them.
The lumber caps the total number of boxes, and the rails cap the wide ones alone.
Two further constraints belong to the system even though the story never says them out loud: a count of boxes cannot be negative, so and . Leaving them out would admit a solution such as , which the situation cannot use.
Counts are also whole numbers, and no inequality here records that. It matters when a plan has to be read off the region, but not for the question of whether any plan exists at all: if no point of the plane satisfies the system, then certainly no whole-number point does.
Part B
The tray count is not itself one of the limits, but it splits into pieces that are.
The lumber caps the first piece at and the rails cap the second at .
That holds at every point the limits allow, so no build plan whatever reaches more than trays. Nor is the bound a safe overestimate: at and both limits are tight, since and , and that plan holds trays. So is exactly the ceiling.
The order asks for . A point of the region in part A would have to satisfy and at the same time, which no point can do. The feasible region is empty: the system has no solution, and under its present limits the club cannot fill the order whatever mix of boxes it tries.
Part C
Rebuild the bound with the cap written as a letter. The lumber limit is unchanged, so
and the order needs , which is impossible unless , that is . At the ceiling is , still short, so is the smallest whole number that can work.
At the ceiling is exactly while the order asks for or more, so every inequality in the chain has to be an equality:
That forces and together, so . Check the plan: boxes, wide boxes, and trays. It works, and nothing else does.
So the region is not a polygon, nor an edge, nor empty: it is a single point. Borrowing three extra rails moves the club from impossible to possible in exactly one way.
Part D
A feasible region that is a single point is the tightest outcome short of an empty one. There is exactly one build plan, and every limit is used to the last unit: all boxes are built, all rails are used, and the trays come to exactly the requested and not one more. So the club has no margin anywhere. Lose one rail and the cap drops to , whose ceiling is trays; lose one board and the box limit drops to , whose ceiling is . Either slip makes the order impossible again, and the club would have to renegotiate the order rather than rearrange the mix, because there is no other mix.
Now the second half. Part B never inspects points one at a time. It builds an inequality, , out of the constraints themselves, and every point satisfying the constraints satisfies it, whether or not anyone ever writes that point down. A drawing works the other way round: it shows the part of the plane that fits on the page at the scale chosen, so "I see no overlap" is a report about a picture rather than a claim about a region. Two half-planes overlapping far off the page look exactly like two that never overlap.
Nothing in the combination step mentions how many variables there are. With three variables the constraints are half-spaces and there is no honest picture at all, yet adding to still takes one line.
A clash between that bound and a fourth constraint would settle emptiness exactly as the clash in part B does here.
In one line
The system is , , , , . Since , and the plan reaches , the tray count can never reach : the feasible region is empty and no mix of boxes fills the order. Writing the rail cap as turns the ceiling into , so the order needs , and at the chain forces and , collapsing the region to the single plan : wide boxes and narrow ones, with no slack anywhere.
Rubric
Mark your own paper against this. Give yourself the points for each element you actually wrote down, not the ones you meant to.
Part A 4 points
Translates all three stated limits into inequalities with the correct direction on each symbol. . Worth 3 points.
Includes the constraints the story leaves unsaid, and says why they belong to the system. . Worth 1 point.
Part B 5 points
Derives a ceiling on the tray count from the limits themselves rather than from sample plans. . Worth 2 points.
Reaches the correct numerical ceiling and shows that an actual plan reaches it. . Worth 1 point.
Says what the ceiling settles about the whole system of part A, in terms of solutions rather than of one plan. . Worth 2 points. needs an explanation, not just an answer
Part C 4 points
Produces the smallest whole cap at which the order becomes reachable, by an argument covering every plan rather than by trying plans one at a time. . Worth 2 points.
Names the plan or plans available at that cap, in numbers of boxes of each kind, and describes the shape of the region they form. . Worth 2 points.
Part D 5 points
Reads the shape of the region back into the situation, naming what happens to the plan if one limit slips. . Worth 2 points.
Explains that the bound is a statement every feasible point must satisfy, so it settles the question for all of them at once, unlike an inspected drawing, and that the same step is available with more variables. . Worth 3 points. needs an explanation, not just an answer
Try a similar problem (Optional)
Same idea, different numbers. Work it on paper, then check yourself the same way.
A second club builds boxes holding trays and boxes holding tray, needs at least trays, has lumber for at most boxes, and rails for at most of the larger boxes. Decide whether the order can be filled, and if it cannot, find the smallest rail cap that would make it possible and the plan that results.
The answer
No: , short of , so the region is empty. Raising the rail cap to lifts the ceiling to , and equality then forces the single plan of large boxes and small ones.
With large boxes and small ones the system is , , , , . Split the tray count into pieces the limits bound.
Since , no plan reaches the order and the feasible region is empty.
With the rail cap written as the ceiling becomes , and reaching needs , that is . At the ceiling is exactly , so the chain
forces and , giving . That plan holds trays.
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4. How the best plan depends on a price still to be set . Application, 19 points. Question 4 of 5.
A campus print shop takes on two kinds of job: posters ( of them) and booklets ( of them). A poster occupies units of press time and a booklet unit, with units of press time available. Trimming takes unit for either job, with units of trimming available. The booklet's profit is settled, but the poster's price has not been agreed. Writing the poster's profit as times the booklet's profit, the shop's total profit is proportional to , where .
- Part A.
Find every corner of the feasible region, showing the system you solved for the corner lying on neither axis, and write the value of at each corner as an expression in .
Solve and show your work Write each step out, and end with the value and its units. 4 points
- Part B.
Find every value of for which is the only corner attaining the maximum of .
Write the expression An equation or an expression is enough here. Show how you built it. 4 points
- Part C.
State what happens at each of the two values of bounding your answer to part B: which corners share the maximum, and what the full set of maximizing points is. Then connect each of those two values of to the slope of a particular edge of the region.
Carry your own answer forward Use your own two boundary values of from part B; the description asked for here is the same whichever numbers they turned out to be.
Explain what it means Words, not just symbols. Say what the number is telling you about the situation. 6 points
- Part D.
Decide whether every corner of this region is the unique maximizer of for some , and justify the decision. One comparison, rather than a sweep through sample values of , should settle the corner your answer turns on.
Justify your claim State the claim, then give the reason it has to be true. 5 points
Hints
One at a time, each one a step further than the last. Take only as many as you need.
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Hint 1 of 4
For each fixed value of the corner point principle still applies; what moves with is which corner wins. So compare the corners as expressions in , not as numbers.
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Hint 2 of 4 · Part B
Two corners tie exactly when their expressions are equal, so each comparison is a one-line inequality in , and the answer is where all of them hold together.
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Hint 3 of 4 · Part C
A level line of the objective has slope . Ask which edge of the region has that slope at each of your two boundary values.
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Hint 4 of 4 · Part D
Two corners that share an -coordinate can be compared without knowing at all.
That is every hint for this question.
Answer and solution
Check your answer first. If it is wrong, go back to your paper: the worked solution will still be here.
The answer
Part A
gives , gives , gives , and gives .
Part B
.
Part C
At , and tie at ; at , and tie at . Each time the whole edge joining the tied corners is optimal, and the level lines have exactly that edge's slope, on and on .
Part D
No. never maximizes , since it and both have , so cannot affect either value, and whatever is. The other three corners do each win alone, on their own range of .
Not what you got? Look for the slip on your own paper before you open the solution. Finding it yourself is worth more than reading it.
Worked solution
Part A
The constraints are the two resource limits together with the two counts, neither of which can be negative.
On the axes, meets at , feasible since , and meets at , feasible since . The origin is feasible too. The two remaining axis crossings are not corners: would need and would need , and both fail.
For the corner on neither axis, subtract the trimming equation from the press equation.
Then , so that corner is , and both counts are nonnegative there.
Evaluating at the four corners gives , , and . Two of those carry no at all, because both and have , which kills the term .
Part B
For each fixed the corner point principle puts the maximum at a corner, so compare the four expressions from part A. Since , the origin's value never beats the at , so only two comparisons decide the matter.
Against :
Against :
Both must hold at once, and both hold exactly when .
A check at three sample values. At the corner values are , , and , so wins alone; at they are , , and , so wins instead; at they are , , and , so does.
The strict symbols matter here. At and at the winning value is shared, which is what part C is about.
Part C
Take the two values in turn, listing the corner values in the order , , , .
So and both give while gives only . The two winners are the ends of the edge lying on , and along that whole edge identically. The set of maximizing points is therefore not two points but the entire edge between them.
Now and tie at . They are the ends of the edge lying on , and along it identically, so again every point of that edge is optimal.
The slopes explain both ties. Solving for gives , so every level line of the objective has slope . The edge on has slope , and the edge on has slope . A tie along an edge needs the level lines parallel to that edge, that is equal to its slope, which is for the first and for the second. Parallel is necessary but not sufficient, and the edge must also be one the sliding level line touches last. Take , where the level lines are horizontal and so parallel to the edge on running from to . Every point of that edge does share a value, but the shared value is , the smallest anywhere on the region, while scores and is the sole maximizer. A level line parallel to an edge the slide meets first ties for the worst value, not the best. Between those two values the level lines are steeper than one of the edges and shallower than the other, which is what pins the maximum to the single corner where those edges meet.
Part D
Three of the four corners do win alone somewhere, as parts B and C already show: for , for , and for .
The origin is a different case, and one comparison disposes of it for every at once.
Both points have , so the term vanishes at each of them and the parameter cannot influence either value. Whatever is, scores and the origin scores , so the origin is beaten and can never be a maximizer, let alone the only one.
That argument is worth more than a sweep. Testing would show the origin losing four times, which is evidence but not a proof; the comparison above covers every at once, including the values nobody tried.
In the shop's own terms: printing nothing is never as profitable as printing booklets, because booklets earn a settled positive profit and the poster's price never enters that comparison.
In one line
The corners are , , and , where takes the values , , and . The corner is the only maximizer exactly when and , that is when . At it ties with at , and at it ties with at , and in each case the entire edge joining the tied corners is optimal, since the level line through that edge has slope , matching the edge's own slope of or , and that edge is the last thing the slide touches. Not every corner wins somewhere: never does, since it and both have , so their values are and for every .
Another way: Compare slopes rather than values
Every level line has slope , and larger lies further up and to the right. The edge on has slope , and the edge on has slope . Slide a level line up and to the right across this region: while it is at least as steep as the first edge and no steeper than the second, that is while , the last point of the region it touches is where those two edges meet, namely . Outside that range it leaves at one of the other corners instead, and at each end of the range it is parallel to an edge, so the whole edge is the last thing touched.
When it is worth it When the objective carries a parameter and you want the switching values directly, or as a check on a comparison already done with values.
Rubric
Mark your own paper against this. Give yourself the points for each element you actually wrote down, not the ones you meant to.
Part A 4 points
Solves the two slanted boundary equations as a system and confirms each corner against the constraints not used to find it. . Worth 2 points.
Writes each corner's value of P as an expression in k rather than as a number. . Worth 2 points.
Part B 4 points
Compares the corner expressions pairwise as inequalities in k rather than by testing sample values. . Worth 2 points.
Solves each comparison and reports the values of k that satisfy all of them together. . Worth 2 points.
Part C 6 points
Evaluates the corner expressions at both boundary values of k and identifies which corners tie at each. . Worth 2 points.
Describes the full set of maximizing points at each of the two values, and says whether it is larger than the tied corners themselves. . Worth 2 points.
Explains the connection between each boundary value and the slope of the edge it names, rather than only asserting that the two agree. . Worth 2 points. needs an explanation, not just an answer
Part D 5 points
Answers the yes-or-no question and names the corner the answer turns on. . Worth 2 points.
Settles the corner the question turns on for every k at once, by a comparison the parameter cannot enter, rather than by sample values. . Worth 3 points. needs an explanation, not just an answer
Try a similar problem (Optional)
Same idea, different numbers. Work it on paper, then check yourself the same way.
Run the same analysis on the region , , , with the objective and : find the corners and their values, then find the values of for which the corner on neither axis is the only maximizer, and say what happens at the ends of that range.
The answer
Corners , , and , with values , , and . The corner is the only maximizer exactly when ; at and it ties with and with respectively, and the whole edge between the tied corners is optimal.
On the axes, meets at , feasible since , and meets at , feasible since . Subtracting the second slanted equation from the first eliminates .
Then , so the corners are , , and , with values , , and . Comparing with the other two live candidates,
So is the only maximizer exactly when . At it ties with at , along the edge on , whose slope is ; at it ties with at , along the edge on , whose slope is .
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5. A region drawn with one dashed edge . Reasoning, 16 points. Question 5 of 5.
A region is cut out by , and . That last symbol is strict, so its boundary is drawn dashed and no point of the line belongs to the region; the other two boundaries are solid. The objective is .
- Part A.
Decide which of the three points , and belong to this region, showing the substitution in each case, and evaluate wherever it applies. Then give one point of the region at which is greater than .
Solve and show your work Write each step out, and end with the value and its units. 4 points
- Part B.
Prove that has no maximum on this region, in two steps: show first that at every point of the region, and then that no number below can be the maximum either, by producing from any proposed value a point of the region that beats it.
Justify your claim State the claim, then give the reason it has to be true. 5 points
- Part C.
Compare this region with the one obtained by making the same boundary solid, , keeping . State the maximum there and where it sits, name which requirement of the corner point principle the strict version fails while checking the principle's other requirements against it, and decide whether the minimum of survives the change.
Compare the two methods Say what each one costs you, and when you would reach for it. 7 points
Hints
One at a time, each one a step further than the last. Take only as many as you need.
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Hint 1 of 3
A dashed boundary is not a detail of drawing. Ask of every candidate best point whether it is in the region at all, and if it is not, what the region does as it comes close to it.
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Hint 2 of 3 · Part B
Compare with term by term, using the one thing you already know about the sign of .
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Hint 3 of 3 · Part C
Check the principle's requirements against this region one at a time, and check the maximum and the minimum separately, since they need not fail together.
That is every hint for this question.
Answer and solution
Check your answer first. If it is wrong, go back to your paper: the worked solution will still be here.
The answer
Part A
Only belongs, where : both and give , which a strict inequality excludes. The region does contain , where .
Part B
Since , , so nothing reaches . And if a feasible point held the largest value , then , and the point of the -axis halfway between and is feasible with a strictly larger value. So no largest value exists.
Part C
With the boundary solid the maximum is , at the corner . The strict version does not lose boundedness, since both regions are bounded; it loses the corners on the dashed line, so it no longer contains the point where the maximum would sit. Its minimum survives: is still in it and there.
Not what you got? Look for the slip on your own paper before you open the solution. Finding it yourself is worth more than reading it.
Worked solution
Part A
All three points have and , so the only constraint in doubt is the strict one. Substitute each point into .
The other two land exactly on the boundary line, where the substitution returns equality.
So only the origin lies in the region, and . The other two points sit exactly on the dashed line: they satisfy but not , and a strict inequality never counts equality as passing.
For a point of the region with above , stay on the -axis, where makes the constraint read , and take just short of .
That point satisfies , and , so it is genuinely in the region, and .
Part B
Step one bounds using the constraint itself. Because , replacing by can only increase the expression.
The last step is strict because is strict and the multiplier is positive. So every point of the region has , and no point attains .
Step two rules out every smaller number as well. Suppose someone claims the maximum is , meaning a value actually takes at some point of the region. Then , since everywhere in the first quadrant and step one caps it below . Take the point where sits halfway between and :
It is feasible, since , and , and its value is . So whatever value is proposed as largest, the region holds a point that beats it.
Together the two steps say that climbs toward without ever arriving. No point of the region carries the largest value, so no maximum exists. What is, exactly, is the least upper bound: the smallest number that no value of exceeds.
Part C
The closed region , , is a triangle whose corners are , and , all three of them in the region this time.
By the corner point principle the maximum is the largest of those, , attained at .
Now check the strict region against the principle's requirements one at a time. It is nonempty, since the origin is in it. It is bounded: with and , every point has and , so the whole region sits inside a rectangle. What it is not is closed. The points removed by the strict symbol are exactly the points of the line , and those include and , two of the three corners. So the requirement that fails is that the region contain its own boundary, and it fails in the place that matters, at the corner where the maximum would have sat.
The minimum is a different story, and it survives. Every point with has , and the origin is still in the strict region with , so the smallest value is and it is attained. The corner it sits at was never on the dashed line, so removing that line cost it nothing.
That asymmetry is the lesson. Removing a boundary does not destroy optima in general; it destroys exactly those that lived on the part removed. Bounded is not enough on its own to guarantee a maximum, and open is not enough on its own to destroy one.
In one line
Of the three named points only is in the region, with ; and sit on the dashed line and are excluded, while is in the region with . Since gives , and any proposed largest value is beaten by the point of the -axis halfway between and , the objective has no maximum: it climbs toward without reaching it. Making the boundary solid restores a maximum of at the corner . Both regions are bounded, so boundedness is not what fails; the strict region simply does not contain the corner where the maximum sits. Its minimum, at the origin, survives untouched.
Rubric
Mark your own paper against this. Give yourself the points for each element you actually wrote down, not the ones you meant to.
Part A 4 points
Substitutes all three points into the strict inequality and decides any equality cases correctly. . Worth 2 points.
Produces a genuine point of the region whose value clears the number named, and confirms that point against every constraint. . Worth 2 points.
Part B 5 points
Derives a strict upper bound for P from the constraint itself, keeping the strictness through the step that uses it. . Worth 2 points.
Shows that any proposed largest value is beaten by an explicit point of the region, so the argument disposes of every candidate rather than one. . Worth 3 points. needs an explanation, not just an answer
Part C 7 points
Finds the closed region's maximum and names the corner attaining it. . Worth 2 points.
Names which requirement of the corner point principle the strict region fails, and supports that choice by checking the principle's other requirements against this region. . Worth 3 points. needs an explanation, not just an answer
Settles the minimum question and accounts for why it and the maximum come out as they do. . Worth 2 points.
Try a similar problem (Optional)
Same idea, different numbers. Work it on paper, then check yourself the same way.
Take the region , , with the objective . Show that has no maximum on it, and state the maximum of over the region obtained by making that boundary solid.
The answer
On the strict region , and any proposed value below is beaten by a point of the -axis just short of , so there is no maximum. With the boundary solid the maximum is , attained at the corner .
Bound using the constraint itself. Because , replacing by can only increase the expression.
So no point reaches . No smaller number is the maximum either: for any value with , take halfway between and , so that . The point satisfies , and , and gives . So no value is largest and there is no maximum.
With the boundary solid the region is the triangle with corners , and , where
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