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Rates of Change

Lesson ~10 min read 8 MCQs

In simple terms: In simple terms, rates of change help us measure how fast a function's output is changing compared to its input, just like calculating your average speed on a road trip.

Why this matters

Imagine you’re driving from your home in Dallas to visit a friend in Austin for the weekend. The trip is 200 miles and takes you 4 hours. If someone asked for your speed, you might say, "I averaged 50 miles per hour." That's a great answer, and it’s a perfect real-world example of an average rate of change. You found the total change in distance and divided by the total change in time.

But was your speed exactly 50 mph for the entire trip? Of course not. You slowed down in traffic near Waco, and you sped up a bit on the open highway. The number on your speedometer at any given second—say, 65 mph as you passed a field of bluebonnets—is your instantaneous rate of change.

In this lesson, we'll explore both of these ideas. We'll learn the solid mathematical way to calculate the average rate of change and then, most importantly, we'll learn how to use that skill to get a very close estimate of the rate of change at a single, specific moment.

Average vs. Instantaneous Speed: A car's journey over time.

Concept overview

flowchart TD
    A[Start: Given a function f(x) and a point x = c] --> B{Want rate of change AT the point c?};
    B --> C[Choose a second point, x₂, very close to c];
    C --> D[Calculate the two y-values: f(c) and f(x₂)];
    D --> E[Calculate Average Rate of Change: (f(x₂) - f(c)) / (x₂ - c)];
    E --> F[Result: The AROC is a good approximation of the instantaneous rate at c];
    F --> G{Is the function increasing or decreasing?};
    G -- AROC > 0 --> H[Increasing at point c];
    G -- AROC < 0 --> I[Decreasing at point c];
This flowchart shows the process for approximating the instantaneous rate of change at a point. It starts with a function and a point, then directs the user to choose a second point very close by, calculate the average rate of change between them, and interpret the result as an approximation. The final step shows how to determine if the function is increasing or decreasing based on the sign of the result.

Core explanation

What is Average Rate of Change?

At its heart, the average rate of change (AROC) is a concept you’ve known for years: it’s the slope. That’s it! It measures how much a function’s output (y or f(x)) changes for every one unit of change in its input (x).

Remember the slope formula from Algebra 1? slope = (y₂ - y₁) / (x₂ - x₁)

For a function f(x), we just write it in function notation. The average rate of change between two points, x = a and x = b, is:

Average Rate of Change = (f(b) - f(a)) / (b - a)

This formula gives you the slope of the secant line—the straight line that passes through the two points (a, f(a)) and (b, f(b)) on the function's graph. It tells you the constant rate you would have needed to travel between those two points to achieve the same net change.

The secant line connecting two points on a curve, illustrating AROC.

From Average to Instantaneous: The Big Idea

So, we can find the average rate of change between two points. But how do we find the rate of change at a single point, like the speedometer reading at one instant? In Precalculus, we don't find it exactly—we approximate it.

And here’s how we do it: we calculate the average rate of change over a very, very small interval around the point we care about.

Imagine you want to know how fast a function is changing at x = -3. You can't use the AROC formula with just one point. But what if you picked a point incredibly close to -3, like x = -3.01? You could then calculate the average rate of change between x = -3.01 and x = -3.

Because the interval is so tiny, the average rate of change over that interval becomes a fantastic approximation for the instantaneous rate of change right at x = -3. The secant line between those two super-close points almost perfectly matches the steepness of the curve at that single spot.

As the interval shrinks, the secant line approximates the tangent line.

Let's see this in action with a function you'll see in the visuals for this lesson: f(x) = 0.25x³ - 2x + 2

Suppose we want to approximate the rate of change at point P, where x = -3. First, let's find the value of the function here: f(-3) = 0.25(-3)³ - 2(-3) + 2 = 0.25(-27) + 6 + 2 = -6.75 + 8 = 1.25 So, point P is at (-3, 1.25).

Now, let's pick a point very close to x = -3, like x = -3.01. f(-3.01) = 0.25(-3.01)³ - 2(-3.01) + 2 ≈ 1.2023

Now we use the AROC formula: AROC = (f(-3) - f(-3.01)) / (-3 - (-3.01)) AROC = (1.25 - 1.2023) / (0.01) AROC = 0.0477 / 0.01 = 4.77

So, our approximation for the instantaneous rate of change at x = -3 is 4.77. This means that near x = -3, for every 1-unit increase in x, the y-value increases by about 4.77 units.

Comparing Rates of Change

What if we want to know whether the function is changing faster at x = -3 or at another point, say R where x = 2? We can use the same method.

First, find the value at x = 2: f(2) = 0.25(2)³ - 2(2) + 2 = 0.25(8) - 4 + 2 = 2 - 4 + 2 = 0 So, point R is at (2, 0).

Now, let's approximate the rate of change at x = 2 by using a tiny interval, like [2, 2.01]. f(2.01) = 0.25(2.01)³ - 2(2.01) + 2 ≈ 0.01015

Let's calculate the AROC: AROC = (f(2.01) - f(2)) / (2.01 - 2) AROC = (0.01015 - 0) / (0.01) AROC = 1.015

So, the rate of change at x = 2 is approximately 1.015.

Now we can compare!

  • At x = -3, the rate of change is about 4.77.
  • At x = 2, the rate of change is about 1.015.

Since 4.77 > 1.015, we can conclude that the function is increasing much more steeply at x = -3 than it is at x = 2.

What Do the Signs Mean?

The sign of the rate of change tells you everything about the function's behavior.

  • Positive Rate of Change
    This means as x increases, f(x) also increases. On a graph, the function is moving "uphill" from left to right. In our example, both rates (4.77 and 1.015) were positive, and if you look at the graph, the function is indeed increasing at both x = -3 and x = 2.
  • Negative Rate of Change
    This means as x increases, f(x) decreases. On a graph, the function is moving "downhill." If we had calculated the rate of change at x=0, we would have found a negative value, because the graph dips down in that region.

This is where many students slip up. They do the calculation correctly but forget to interpret the result. The number tells you how fast things are changing, and the sign tells you in what direction. Both are critical.

Worked examples

Example 1

Approximating Rate of Change from a Function

Problem: Given the function g(t) = -16t² + 80t + 5, which models the height of a baseball (in feet) t seconds after being hit, approximate the speed of the ball at exactly t = 1 second.

Solution:

  1. 1
    Identify the Goal
    We need the instantaneous rate of change (speed) at t = 1. We will approximate this using the average rate of change over a very small interval around t = 1. Let's use the interval [1, 1.001].
  2. 2
    Calculate Function Values
    We need g(1) and g(1.001).
    • g(1) = -16(1)² + 80(1) + 5 = -16 + 80 + 5 = 69 feet.
    • g(1.001) = -16(1.001)² + 80(1.001) + 5 g(1.001) = -16(1.002001) + 80.08 + 5 g(1.001) = -16.032016 + 85.08 = 69.047984 feet.
  3. 3
    Apply the AROC Formula
    AROC = (g(1.001) - g(1)) / (1.001 - 1) AROC = (69.047984 - 69) / 0.001 AROC = 0.047984 / 0.001 AROC = 47.984
  4. 4
    Interpret the Result
    The average rate of change on this tiny interval is approximately 48. This means that at t = 1 second, the baseball's height is increasing at a rate of about 48 feet per second. This is our approximation for the instantaneous speed.
Example 2

Comparing Rates of Change from a Table

Problem: The table below shows the population of a suburb of Seattle, measured in thousands, over several years.

Year (t) Population P(t) (in thousands)
2015 12.5
2017 14.1
2019 16.0
2021 18.2
2023 20.1

Was the population growing faster, on average, between 2015-2017 or between 2021-2023?

Solution:

  1. 1
    Identify the Goal
    We need to compare the average rate of change for two distinct intervals.
  2. 2
    Calculate AROC for 2015-2017
    • The inputs are t₁ = 2015 and t₂ = 2017.
    • The outputs are P(2015) = 12.5 and P(2017) = 14.1.
    • AROC = (14.1 - 12.5) / (2017 - 2015) AROC = 1.6 / 2 = 0.8
  3. 3
    Interpret the First Result
    The rate is 0.8. Since the population is in thousands, this means the population grew at an average rate of 800 people per year from 2015 to 2017.
  4. 4
    Calculate AROC for 2021-2023
    • The inputs are t₁ = 2021 and t₂ = 2023.
    • The outputs are P(2021) = 18.2 and P(2023) = 20.1.
    • AROC = (20.1 - 18.2) / (2023 - 2021) AROC = 1.9 / 2 = 0.95
  5. 5
    Interpret and Compare
    The rate is 0.95, meaning an average growth of 950 people per year from 2021 to 2023.
Baseball height over time, with approximate instantaneous speed.
Population growth rates for a suburb.

Try it yourself

Practice Problem 1

A company's profit, P, in thousands of dollars, can be modeled by the function P(x) = -x² + 20x - 60, where x is the number of units sold in thousands.

Approximate the instantaneous rate of change of profit when the company sells 8,000 units (i.e., at x = 8). Use the interval [8, 8.01] for your approximation. What does the sign of your answer tell you about the company's profit at this level of sales?

Practice Problem 2

The temperature T (in °F) in Chicago on a winter day is recorded in the table.

Time (hour past noon) Temperature (°F)
0 (noon) 10
2 11
4 7
6 1

Calculate the average rate of change of temperature from noon to 2 PM, and from 4 PM to 6 PM. What do the different signs of your answers indicate about the weather trend?

Company profit function with AROC approximation at x=8.
Chicago temperature changes over a winter day.