Interpret a minimum-cost vertex
Practice problem
A company’s daily operating cost , in dollars, is modeled by
where is the number of delivery routes scheduled. Which choice best interprets the vertex?
Why this matters on the SAT
The SAT often hands you a quadratic model and asks what one of its points means. Finding the point is only half the job. You also have to say what each number counts, in which unit, and what’s happening at that moment.
Solution to the example
The model is in vertex form, , so you can read the vertex straight off it: . The number in front of the square, , is negative, so the parabola opens downward and the vertex is a maximum.
Now give each number its job. The input counts meal kits, and the output is profit in dollars. So is a number of kits and is dollars: the model predicts a maximum daily profit of $3,200 when meal kits are sold. The answer is B.
Each wrong choice is a trap you’ll learn to spot: A swaps the numbers’ roles, C calls the peak a minimum, and D treats the in front of the square as a steady rate. Remember this: a point isn’t an answer until it’s a sentence, with each number given its meaning and its unit.
SAT example
The daily profit , in dollars, from selling meal kits is modeled by
Which choice best interprets the vertex of the graph of in the - plane?
The maximum daily profit is $40 when meal kits are sold.
The maximum daily profit is $3,200 when meal kits are sold.
The minimum daily profit is $3,200 when meal kits are sold.
The daily profit increases by $2 for every additional meal kit sold.
Picture an object launched into the air. Its height, in meters, seconds after launch is
The solid part of the curve is the flight. The dotted part is math the flight never uses. Vertex form shows you the peak, but not when the object lands, so graph the model and let Desmos find the points. Enter
h(x)=-3(x-2)^2+48
where stands for the time . Select the curve, then select its vertex and both -intercepts. Desmos shows the vertex and the intercepts and . The inputs where the height is , and , are the model’s roots.
Desmos finds every point. You decide which ones belong to the flight. Here’s each point in math words, then in flight words:
Translate each graph feature into the situation
| Feature | Mathematical meaning | Contextual meaning |
|---|---|---|
| Vertex | Greatest output is at input | The object reaches a maximum height of meters seconds after launch |
| Axis | Input at the vertex | The time when the maximum height occurs |
| -intercept | The object starts meters above the ground | |
| Positive -intercept | The object reaches the ground seconds after launch | |
| Negative root | The equation also has output there | It is not a time after launch, so it does not describe this flight |
For more practice finding these points in Desmos, see Read points of interest from a graph.
To explain any point on a model, ask four questions:
For the flight model above, what is the maximum height, and when does the object reach it?
Swapping the vertex’s numbers, as in “48 seconds” or “2 meters.” Both look like plain numbers, so it’s an easy slip. Say what each axis means first: the first number takes the input’s unit, and the second takes the output’s. Then sanity-check it. The object lands at seconds, so a peak at seconds is impossible.
Go back to the meal-kit model, . At the square is , so the profit is . At or kits the square is , so the profit drops to . Any other number of kits makes the square positive, and the pulls the profit below . So is the maximum.
The same idea works for any model in vertex form,
A square is never negative:
At the square is , so the output is . Everywhere else, the sign of decides:
So the vertex answers two questions at once:
Some questions ask for only one of them, so read the last sentence of the question closely. “What is the maximum profit?” wants the output, . “How many units maximize profit?” wants the input, .
A delivery company models its daily cost, in dollars, by , where is the number of routes. What does the vertex mean?
This idea trips up a lot of students, so let’s test it with numbers. In the flight model
it’s tempting to read as “the height drops meters every second.” Check the heights after the peak at :
Second by second, the object falls meters, then , then . The drop keeps growing, so can’t be a steady rate.
Now look at the distances below the peak: , and . Each one is times the square of the seconds from the peak. That’s the real job of : twice as far from the peak, four times as far below it.
To write that for any time, call the seconds from the peak . Then , and the model becomes
The height is meters below the maximum. That squared time is also why has units of meters per second squared.
It works before the peak too. At launch, is also seconds away, so
That matches both and .
The same flight can also be written in standard form. Multiply out and you get
Now the vertex is hidden, but the constant term still means something: it’s , the starting height again. In any standard-form model, , the constant is the output when the input is . In a profit model, it can be the predicted profit when no units are sold.
Don’t read the as a steady rate either. The height rises meters in the first second, from to , and only meters in the next, from to .
Calling or a constant rate of change. It’s tempting because in a linear model, the number in front of is the rate. But a quadratic doesn’t change by the same amount over equal steps of input. In vertex form, multiply by the squared distance from the vertex, as in meters below the peak. In standard form, read as when an input of makes sense.
For , where is a quality score and is a machine setting, what does the coefficient tell you about a setting units from ?
An equation takes any input you give it. The situation doesn’t.
The flight model has two roots, and . Both make the height , but means seconds before launch, when nothing was flying yet. At the other end, a time after gives a negative height, as if the object kept falling underground. But it has already landed. So only
describes the flight, from launch to landing. The equation doesn’t know the object has landed. You do.
Look for these clues in the wording:
Once the input makes sense, plug it into the model and give the output with its unit. Perfect algebra on an impossible input still gives a wrong answer.
For the flight model , compare with . Why is the first a real prediction about the flight and the second isn’t, even though both are fine to calculate?
Before you open Desmos, check what the equation already shows you.
the model is in vertex form, like . The vertex, , is right there.
you need only or one quick prediction, like .
you can already see the point you need and what it means.
it’s in standard form, like . The vertex is hidden.
you need a start, a landing or a break-even point that the equation doesn’t show.
you need to compare those points with a limit in the story, like a time or a capacity, to see which inputs make sense.
If you can see it, read it. If it’s hidden, graph it and select it. Either way, the question tells you which coordinate, unit and inputs to use.
Worked example
The height , in meters, of a launched object seconds after launch is modeled by
Which choice best interprets the vertex and gives a realistic domain for the flight?
The object reaches a maximum height of meters seconds after launch, and a realistic domain is .
The object reaches a maximum height of meters seconds after launch, and a realistic domain is .
The object reaches a minimum height of meters seconds after launch, and a realistic domain is .
The object reaches a maximum height of meters seconds after launch, and every real value of is realistic.
Step 1
The horizontal axis is time , in seconds. The vertical axis is height , in meters. The number in front of is negative, so the graph opens downward and its vertex will be a maximum.
Step 2
Standard form hides both the vertex and the -intercepts, and one graph shows them all. Enter
h(x)=-5x^2+40x+45
where stands for the time . Select the highest point and the two -intercepts. Desmos shows
The vertex gives the greatest height and when it happens. The intercepts are the times when the height is , and only one of them is part of the flight.
Step 3
The point means the object is meters high at seconds. The graph opens downward, so that’s the maximum height.
Step 4
The flight starts at launch, . The negative root, , is before launch, so drop it. The flight ends when the object hits the ground at the positive root, . So a realistic domain is
The answer is A.
The same graph shows . What does that point mean, with units? And makes the height , so why doesn’t it belong to the flight?
Try these on your own. Each calculator starts empty.
Practice problem
A company’s daily operating cost , in dollars, is modeled by
where is the number of delivery routes scheduled. Which choice best interprets the vertex?
Practice problem
The height , in meters, of a ball seconds after it is thrown is modeled by
Which statement is best supported by the model?
Practice problem
A workshop’s weekly profit , in thousands of dollars, is modeled by
In this model, is the number of hundreds of tables produced. The workshop can produce at most tables in one week. According to the model and this capacity, what is the greatest predicted weekly profit, in dollars?
Finish the lesson
Finish the remaining questions correctly to complete this lesson.
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