Chapter 6: The Meaning of the Derivative
Meaning of the Derivative
Introduction
6.1 What the Derivative Represents: How Fast Things Change
The derivative represents the instantaneous rate at which a function changes. In this chapter, we will explore its meaning from several points of view.
$f'(x)$ represents the instantaneous rate of change of $f(x)$ at $x$.
- If $f'(x) > 0$, then $f(x)$ is increasing there.
- If $f'(x) < 0$, then $f(x)$ is decreasing there.
- If $f'(x) = 0$, then the tangent line is horizontal there (the instantaneous rate of change is $0$).
6.2 Velocity and the Derivative
One of the most basic applications of the derivative in physics is velocity.
Suppose position $x(t)$ is given as a function of time $t$:
- Average velocity: $\displaystyle \dfrac{x(t_2) - x(t_1)}{t_2 - t_1}$ (over the time interval $[t_1, t_2]$)
- Instantaneous velocity: $\displaystyle v(t) = \dfrac{dx}{dt} = x'(t)$
The distance an object falls in $t$ seconds after being released from rest (taking downward as the positive direction) is:
$$x(t) = \dfrac{1}{2}gt^2$$Here, $g \approx 9.8 \, \text{m/s}^2$ is the acceleration due to gravity.
Find the velocity
$$v(t) = \dfrac{dx}{dt} = \dfrac{d}{dt}\left(\dfrac{1}{2}gt^2\right) = \dfrac{1}{2}g \cdot 2t = gt$$Interpretation
- At $t = 0$: $v(0) = 0$ (the object starts falling from rest)
- At $t = 1$ second: $v(1) = 9.8$ m/s
- At $t = 2$ seconds: $v(2) = 19.6$ m/s
Velocity increases in proportion to time.
6.3 Acceleration and the Second Derivative
The rate of change of velocity is acceleration. It is the second derivative of position.
Given the velocity $v(t) = x'(t)$:
$$\text{acceleration} = a(t) = \dfrac{dv}{dt} = v'(t) = x''(t)$$Suppose position is given by $x(t) = 3t^2 + 2t + 1$:
Velocity
$$v(t) = x'(t) = \dfrac{d}{dt}(3t^2 + 2t + 1) = 6t + 2$$Acceleration
$$a(t) = v'(t) = x''(t) = \dfrac{d}{dt}(6t + 2) = 6$$Interpretation
- The acceleration is constant at $6$ (motion with constant acceleration).
- The initial velocity is $v(0) = 2$.
- The initial position is $x(0) = 1$.
6.4 Increasing, Decreasing, and Local Extrema
The derivative lets us find where a function is increasing and where it is decreasing.
If $f'(x) > 0$ on an interval, then $f(x)$ is increasing on that interval.
If $f'(x) < 0$ on an interval, then $f(x)$ is decreasing on that interval.
Local maximum: If $f'(a) = 0$ and the sign of $f'(x)$ changes from positive to negative on either side of $x = a$, then $f$ has a local maximum at $x = a$.
Local minimum: If $f'(a) = 0$ and the sign of $f'(x)$ changes from negative to positive on either side of $x = a$, then $f$ has a local minimum at $x = a$.
The precise definitions of local maxima and minima, and how to handle points where $f'$ does not exist, are covered in Chapter 15.
Step 1: Find the derivative.
$$f'(x) = 3x^2 - 3 = 3(x^2 - 1) = 3(x+1)(x-1)$$Step 2: Find the points where $f'(x) = 0$.
$$3(x+1)(x-1) = 0$$ $$x = -1 \text{ or } x = 1$$Step 3: Check the sign on each interval.
| $x$ | $x < -1$ | $x = -1$ | $-1 < x < 1$ | $x = 1$ | $x > 1$ |
|---|---|---|---|---|---|
| $f'(x)$ | $+$ | $0$ | $-$ | $0$ | $+$ |
| $f(x)$ | ↗ | Local maximum | ↘ | Local minimum | ↗ |
Step 4: Find the local extrema.
- Local maximum value: $f(-1) = (-1)^3 - 3(-1) = -1 + 3 = 2$
- Local minimum value: $f(1) = (1)^3 - 3(1) = 1 - 3 = -2$
6.5 The Equation of a Tangent Line
The derivative can be used to find the equation of the tangent line at any point on a curve.
The equation of the tangent line to the curve $y = f(x)$ at the point $(a, f(a))$ is:
$$y - f(a) = f'(a)(x - a)$$or
$$y = f'(a)(x - a) + f(a)$$The tangent line passes through $(a, f(a))$ and has slope $f'(a)$.
The equation of a line with slope $m$ through $(x_0, y_0)$ is:
$$y - y_0 = m(x - x_0)$$Substituting $x_0 = a$, $y_0 = f(a)$, and $m = f'(a)$ gives:
$$y - f(a) = f'(a)(x - a)$$Step 1: Find the derivative.
$$f'(x) = 2x$$Step 2: Find the values at $x = 2$.
$$f(2) = 2^2 = 4$$ $$f'(2) = 2 \cdot 2 = 4$$Step 3: Write the equation of the tangent line.
$$y - 4 = 4(x - 2)$$ $$y = 4x - 8 + 4$$ $$y = 4x - 4$$6.6 Linear Approximation
The derivative can also be used to approximate a function with a straight line.
When $x$ is close enough to $a$:
$$f(x) \approx f(a) + f'(a)(x - a)$$This is called a linear approximation (or a first-order approximation).
How large is the error in this approximation? Let $h = x - a$, and define the error as
$$E(h) = f(a+h) - \bigl[f(a) + f'(a)h\bigr]$$Dividing both sides by $h$, the definition of the derivative gives
$$\dfrac{E(h)}{h} = \dfrac{f(a+h) - f(a)}{h} - f'(a) \to 0 \quad (h \to 0)$$This means that the error $E(h)$ approaches $0$ faster than $h$ itself (this is sometimes written as $E(h) = o(h)$). If we use a line whose slope is not $f'(a)$, then $\dfrac{E(h)}{h}$ does not approach $0$. This is why the tangent line is called the "best linear approximation."
Use $f(x) = \sqrt{x}$, $a = 4$, and $x = 4.1$.
Step 1: Find the values we need.
$$f(4) = \sqrt{4} = 2$$ $$f'(x) = \dfrac{1}{2\sqrt{x}} \Rightarrow f'(4) = \dfrac{1}{2\sqrt{4}} = \dfrac{1}{4}$$Step 2: Apply the linear approximation formula.
$$\sqrt{4.1} \approx f(4) + f'(4)(4.1 - 4)$$ $$= 2 + \dfrac{1}{4} \times 0.1$$ $$= 2 + 0.025 = 2.025$$Check: A calculator gives $\sqrt{4.1} \approx 2.0248...$
The linear approximation $2.025$ is very accurate.
6.7 Chapter Summary
| Viewpoint | Meaning of $f'(x)$ |
|---|---|
| Geometry | Slope of the tangent line |
| Physics | Instantaneous rate of change (such as velocity) |
| Calculus | A way to tell where a function is increasing or decreasing |
| Approximation | Coefficient in a linear approximation |
Frequently Asked Questions
What is the difference between a local extremum and an absolute maximum or minimum?
A local extremum is a maximum or minimum when values are compared only near that point. An absolute maximum or minimum is the greatest or least value over the entire domain, so a local extremum may not be an absolute maximum or minimum. For example, an absolute maximum can occur at an endpoint of an interval.
Does $f'(x) = 0$ always mean there is a local extremum?
No. For $f(x) = x^3$, we have $f'(0) = 0$, but $x = 0$ is an inflection point, not a local extremum. The condition $f'(x) = 0$ is necessary for a local extremum, but it is not sufficient. Check how the sign of $f'(x)$ changes on either side of the point: positive to negative gives a local maximum, and negative to positive gives a local minimum.
How can we judge the accuracy of a linear approximation?
For the linear approximation $f(a+h) \approx f(a) + f'(a)h$, the error divided by $h$ approaches $0$ (the error becomes smaller faster than $h$). If $f''$ exists, the error is approximately $\dfrac{1}{2}f''(a)h^2$. The smaller $h$ is, the more accurate the approximation. For example, when approximating $\sqrt{4.1}$ ($h = 0.1$), the error is very small, about $0.00015$.
Exercises
An object's position is given by $x(t) = t^3 - 6t^2 + 9t + 2$:
- Find the velocity $v(t)$.
- Find the acceleration $a(t)$.
- Find the times when the velocity is $0$.
For $f(x) = x^3 - 12x + 5$:
- Find $f'(x)$.
- Find the local maximum and local minimum values of $f(x)$.
Find the equation of the tangent line to $f(x) = x^3$ at $x = 1$.
Use a linear approximation to find an approximate value of $\sqrt{9.2}$.
Show the answers
Answer to Exercise 1
- $v(t) = x'(t) = 3t^2 - 12t + 9 = 3(t^2 - 4t + 3) = 3(t-1)(t-3)$
- $a(t) = v'(t) = 6t - 12$
- When $v(t) = 0$, we have $(t-1)(t-3) = 0$, so $t = 1$ or $t = 3$.
Answer to Exercise 2
- $f'(x) = 3x^2 - 12 = 3(x^2 - 4) = 3(x+2)(x-2)$
- $f'(x) = 0$ at $x = -2, 2$.
- At $x = -2$: $f(-2) = (-2)^3 - 12(-2) + 5 = -8 + 24 + 5 = 21$ (local maximum value)
- At $x = 2$: $f(2) = 2^3 - 12(2) + 5 = 8 - 24 + 5 = -11$ (local minimum value)
Answer to Exercise 3
Since $f'(x) = 3x^2$, we have $f'(1) = 3$.
$f(1) = 1$
Tangent line: $y - 1 = 3(x - 1)$, so $y = 3x - 2$.
Answer to Exercise 4
Let $f(x) = \sqrt{x}$, $a = 9$, and $x = 9.2$.
$f(9) = 3$, and since $f'(x) = \dfrac{1}{2\sqrt{x}}$, we have $f'(9) = \dfrac{1}{6}$.
$\sqrt{9.2} \approx 3 + \dfrac{1}{6}(0.2) = 3 + \dfrac{0.2}{6} = 3 + \dfrac{1}{30} \approx 3.0333$
(The actual value is about $3.0332$.)