Chapter 2
Models of Growth: Rates of Change





2.2 The Derivative: Instantaneous Rate of Change

2.2.3 Algebraic Calculation of Rates of Change

Using a high-tech graphing tool, supplemented by guessing, we have conjectured a formula for the instantaneous speed of a falling object whose position at time `t` is `s = ct^2 text(:)`

(speed at time  t ) = 2 c t .

Our next approach is to use a low-tech tool: algebra. That's harder than looking at computer-drawn pictures but also, as we shall see, more satisfying, because there will not be any guessing at formulas.

On the preceding pages we used time intervals centered on `t = 5`, the time of interest. For purposes of our algebraic calculation, we will use intervals that have `t_1 = 5` and `t_2 =`some other time. This has the advantage that only one of the two time values changes when we change `Delta t`.

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Activity 4   Use your graphing tool — a graphing calculator or a computer tool — to draw the plots requested.

  1. Plot `ftext[(]t text[)]` from `t_1 = 5` to `t_2 = 5.5`.

  2. Verify that the average speed (rate of change of distance) in (a) is `51.45 text(.)`

  3. Plot `ftext[(]t text[)]` from `t_1 = 5` to `t_2 = 5.05`.

  4. Calculate the average speed in (c).

We can use algebra to make these calculations for a general `c`. With `t_1 = 5`, we consider first the small change in time, `Delta t = 0.5` or `t_2 = 5.5 text(.)` The distance fallen at time `t_2` is `s_2 = text[(]5.5text[)]^2c = 30.25 c` meters. Thus the average speed from `t_1` to `t_2` is

Δ s Δ t = s 2 s 1 t 2 t 1 = 30.25 c - 25 c 0.5 = 10.5 c meters/second.

Check to see that this agrees with part (b) of Activity 4 when `c = 4.9`.

This only approximates the speed at `t_1`, but we get a closer approximation by choosing a smaller `Delta t`, namely `Delta t = 0.05 text(.)` Then

Δ s Δ t = s 2 s 1 t 2 t 1 = 25.025 c - 25 c 0.05 = 10.05 c.

Checkpoint 3Checkpoint 3

Now we observe that our speed calculation for the falling object does not depend on the specific instant `t_1 = 5 text(.)` Indeed, the whole process often turns out to be easier if we do it algebraically (for an arbitrary but unspecified `t_1`) rather than arithmetically, as we show in the next example.

Example 1

  1. Calculate `Delta s // Delta t` algebraically for `s = ct^2 text(.)`

  2. Solution

    Algebraic Step Reason
    Δ s Δ t = s 2 - s 1 t 2 - t 1
    This is the definition of Δ s Δ t .
    = c t 2 2 - c t 1 2 t 2 - t 1
    We substituted from our formula for `s text(.)`
    = c ( t 2 - t 1 ) ( t 2 + t 1 ) t 2 t 1
    We factored the numerator.
    = c ( t 2 + t 1 )
    We canceled the factor t 2 - t 1 .
    = c ( t 1 + Δ t + t 1 )
    We substituted for t 2 .
    = c ( 2 t 1 + Δ t )
    We collected terms.
  3. What happens to the result as `Delta t` becomes smaller and smaller?

    Solution

    Now we can see clearly what happens as `Delta t` becomes smaller and smaller. The `Delta t` term in our computed average speed disappears, and the average speed approaches `2ct text(.)` That agrees with our result when `t_1` is `5` (Checkpoint 1), and it should also confirm your conjectured formula in Activity 3, since it tells us the instantaneous speed at every instant `t_1 text(.)`

Checkpoint 4Checkpoint 4

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