Derivatives - Graphically and Numerically

Learning Objectives

  • Procedural Skills:

    • Given a function and a point, sketch the corresponding tangent line.
    • Use the tangent line to estimate the value of the derivative at a point.
    • Recognize keywords in a context that correspond to the derivative.
    • Understand the general procedure to sketch the derivative of the plot of a function.
  • Interpretation Skills:

    • Compare and contrast secant lines and tangent lines.
    • Understand the relationship between the tangent line of a function at a point and the derivative of a function at that point.
    • Explain the difference between the derivative at a point and the average rate of change (AROC) over an interval.

Instantaneous Rate of Change and the Derivative at a Point

  • Definition of Instantaneous Rate of Change:

    • The instantaneous rate of change of a function f(x)f(x) at point x=ax = a is defined as the limit of the average rate of change (AROC) of f(x)f(x) over the interval [a,a+h][a, a + h] as hh approaches zero (h→0h \rightarrow 0 or Δx→0\Delta x \rightarrow 0):     f′(a):=lim⁡h→0f(a+h)−f(a)hf'(a) := \lim_{h \rightarrow 0} \frac{f(a + h) - f(a)}{h}
    • The notation f′(a)f'(a) is read as "the derivative of f(x)f(x) at the point x=ax = a".
  • Relationship Between Secant Lines, Tangent Lines, and Derivatives:

    • A secant line connects two points on the graph of f(x)f(x) and its slope represents the average rate of change (AROC) over that interval.
    • Considering intervals such as [0,6][0, 6], [2,6][2, 6], and [5,6][5, 6], as the interval width hh becomes smaller, the corresponding secant lines rotate and converge toward a limiting line known as the tangent line at x=6x = 6.

Graph of function f(x) with secant lines converging to the tangent line at x = 6

  • The solid line shown in the graph represents the tangent line of f(x)f(x) at x=6x = 6
  • The slope of the tangent line at x=ax = a equals the instantaneous rate of change of f(x)f(x) at x=ax = a, which is precisely the derivative f′(a)f'(a).
  • Consequently, the derivative of a function at a given point can be estimated geometrically by drawing the tangent line at that point and computing its slope.

Estimating Derivatives and Contextual Applications

  • Example: Bacteria Population Growth Rate:
    • Let g(t)g(t) represent the population of bacteria t minutest\,\text{minutes} after an infection starts.

Graph of bacteria population g(t) over time t

  • Estimating g′(5)g'(5):
    • To sketch the tangent line at t=5t = 5, select a small interval around t=5t = 5 and construct the line tangent to g(t)g(t) at that point.

Graph of g(t) with tangent line drawn at t = 5

- Identify two coordinates on the sketched tangent line: (4,0)(4, 0) and (7,450)(7, 450).
- Calculate the slope of the tangent line:

      g′(5)≈450−07−4=4503=150g'(5) \approx \frac{450 - 0}{7 - 4} = \frac{450}{3} = 150 - Including physical units in the derivative calculation:       g′(5)≈(450−0) bacteria(7−4) minutes=150 bacteria minute−1g'(5) \approx \frac{(450 - 0)\,\text{bacteria}}{(7 - 4)\,\text{minutes}} = 150\,\text{bacteria}\,\text{minute}^{-1} - Practical interpretation: Exactly 5 minutes5\,\text{minutes} into the infection, the bacteria population is increasing (indicated by the positive sign) at an instantaneous rate of 150 bacteria minute−1150\,\text{bacteria}\,\text{minute}^{-1}.

  • Graph Analysis Exercise:
    • Consider the plot of f(x)f(x) shown below:

Graph of f(x) over an interval containing x = -2, x = 0, and x = 1.1

  • Tangent Line Construction:
    • Draw tangent lines to f(x)f(x) at x=−2x = -2, x=0x = 0, and x=1.1x = 1.1
  • Estimation of f′(0)f'(0):
    • At x=0x = 0, the curve passes through (0,−6)(0, -6) going downwards from left to right. Estimating the slope of the tangent line at x=0x = 0 gives f′(0)≈−5f'(0) \approx -5
  • Ordering the Derivatives:
    • At x=−2x = -2, the function is near a local peak, so the slope f′(−2)f'(-2) is slightly positive or near zero.
    • At x=0x = 0, the function is decreasing moderately, so f′(0)f'(0) is negative.
    • At x=1.1x = 1.1, the curve is decreasing steeply near the inflection point, so f′(1.1)f'(1.1) has the largest negative magnitude.
    • Ordering from least to greatest:       f′(1.1)≤f′(0)≤f′(−2)f'(1.1) \le f'(0) \le f'(-2)

The Derivative Function and Graphical Principles

  • Concept of the Derivative Function f′(x)f'(x):

    • Evaluating the derivative of a function f(x)f(x) at every point across its domain creates a new function called the derivative function f′(x)f'(x).
    • To construct the graph of f′(x)f'(x) from f(x)f(x):
    • Sample multiple xx-values in the domain of f(x)f(x).
    • Determine or estimate the numerical derivative (slope of tangent line) at each point.
    • Plot points with coordinates (x,f′(x))(x, f'(x)).
    • Connect the plotted points smoothly, assuming f′(x)f'(x) has no jumps or gaps.
  • Behavior of the Derivative relative to f(x)f(x):

    • As f(x)f(x) "flattens out" (approaches a horizontal tangent), f′(x)f'(x) approaches 00
    • On intervals where f(x)f(x) is increasing (rising from left to right), f′(x)>0f'(x) > 0 (above the xx-axis).
    • On intervals where f(x)f(x) is decreasing (falling from left to right), f′(x)<0f'(x) < 0 (below the xx-axis).
  • Guidelines for Sketching f′(x)f'(x) Given f(x)f(x):

    • Locate all points where the derivative is zero (f′(x)=0f'(x) = 0). These occur at local maximums, local minimums, or horizontal inflection points of f(x)f(x).
    • Partition the domain into intervals based on where f(x)f(x) is increasing or decreasing to assign positive or negative values to f′(x)f'(x).
    • Estimate the instantaneous rate of change at representative key points to establish specific heights for the f′(x)f'(x) curve.
  • Generalizations Connecting f(x)f(x) and f′(x)f'(x):

    • If f′>0f' > 0 everywhere on an interval, then ff is increasing over that interval.
    • If f′<0f' < 0 everywhere on an interval, then ff is decreasing over that interval.
    • If f′=0f' = 0 everywhere on an interval, then ff is constant over that interval.

Graphical Derivative Practice Examples

  • Example: Plotting the Derivative of a Cubic-like Curve:

Graph of f(x) with local maximum near x = 1.5 and local minimum near x = 5.5

Axes for plotting the derivative function f'(x)

  • Analysis of f(x)f(x),:

    • Local maximum occurs at x≈1.5x \approx 1.5, so f′(1.5)=0f'(1.5) = 0
    • Local minimum occurs at x≈5.5x \approx 5.5, so f′(5.5)=0f'(5.5) = 0
    • Interval (−∞,1.5)(-\infty, 1.5): f(x)f(x) is increasing, so f′(x)>0f'(x) > 0
    • Interval (1.5,5.5)(1.5, 5.5): f(x)f(x) is decreasing, so f′(x)<0f'(x) < 0
    • Interval (5.5,∞)(5.5, \infty): f(x)f(x) is increasing, so f′(x)>0f'(x) > 0
  • Sketching f′(x)f'(x): The derivative graph is a parabola opening upwards, intersecting the xx-axis at x≈1.5x \approx 1.5 and x≈5.5x \approx 5.5, reaching a negative minimum between x=1.5x = 1.5 and x=5.5x = 5.5

    • Example: Sketching Derivatives for Specific Function Types:
  • Function (a): Parabola opening upwards.

Graph of quadratic function f(x) with vertex at x = 3

- Minimum vertex at x=3x = 3 where f′(3)=0f'(3) = 0
- For x<3x < 3, f(x)f(x) decreases, so f′(x)<0f'(x) < 0
- For x>3x > 3, f(x)f(x) increases, so f′(x)>0f'(x) > 0
- The derivative graph f′(x)f'(x) is a straight line with a positive slope passing through (3,0)(3, 0).
  • Function (b): Cubic function.

Graph of cubic function f(x) with local max near x = 1.5 and local min near x = 5.2

- Local maximum near x=1.5x = 1.5 and local minimum near x=5.2x = 5.2
- f′(x)=0f'(x) = 0 at x≈1.5x \approx 1.5 and x≈5.2x \approx 5.2
- Derivative graph f′(x)f'(x) is an upward-opening parabola with roots at x≈1.5x \approx 1.5 and x≈5.2x \approx 5.2
  • Function (c): Linear function.

Graph of linear function f(x) passing through (0, 5) and (8, 29)

- Linear function passing through (0,5)(0, 5) and (8,29)(8, 29).
- Constant slope calculation:

      m=29−58−0=248=3m = \frac{29 - 5}{8 - 0} = \frac{24}{8} = 3 - The derivative function f′(x)=3f'(x) = 3 is a constant horizontal line at y=3y = 3

Numerical and Tabular Derivative Evaluations

  • Evaluating Derivative Signs for f(x)=x2f(x) = x^2:

    • Consider the parabola f(x)=x2f(x) = x^2:
    • (a) f′(1)f'(1): Positive (f′(1)=2(1)=2>0f'(1) = 2(1) = 2 > 0), because f(x)f(x) is increasing at x=1x = 1
    • (b) f′(−1)f'(-1): Negative (f′(−1)=2(−1)=−2<0f'(-1) = 2(-1) = -2 < 0), because f(x)f(x) is decreasing at x=−1x = -1
    • (d) f′(0)f'(0): Zero (f′(0)=2(0)=0f'(0) = 2(0) = 0), because x=0x = 0 is the global minimum of the parabola where the tangent line is horizontal.
  • Estimating Derivatives from Tabular Data:

    • Farm Land Area Data (1980–2000):
Year19801985199019952000
Farm land (million acres\text{million acres})10391012987963945
  • Problem: Estimate the instantaneous rate of change of farm land area in the year 19901990 (t=1990t = 1990).
  • Estimation Methods:
    • Left Average Rate of Change ([1985,1990][1985, 1990]):       AROC[1985,1990]=987−10121990−1985=−255=−5 million acres year−1\text{AROC}_{[1985, 1990]} = \frac{987 - 1012}{1990 - 1985} = \frac{-25}{5} = -5\,\text{million acres}\,\text{year}^{-1}
    • Right Average Rate of Change ([1990,1995][1990, 1995]):       AROC[1990,1995]=963−9871995−1990=−245=−4.8 million acres year−1\text{AROC}_{[1990, 1995]} = \frac{963 - 987}{1995 - 1990} = \frac{-24}{5} = -4.8\,\text{million acres}\,\text{year}^{-1}
    • Symmetric Difference Quotient / Average of AROCs ([1985,1995][1985, 1995]):       f′(1990)≈963−10121995−1985=−4910=−4.9 million acres year−1f'(1990) \approx \frac{963 - 1012}{1995 - 1985} = \frac{-49}{10} = -4.9\,\text{million acres}\,\text{year}^{-1}
    • Conclusion: In 19901990, farm land was decreasing at an instantaneous rate of approximately 4.9 million acres year−14.9\,\text{million acres}\,\text{year}^{-1}.

Reasoning Exercises and Concepts

  1. What is the derivative of a linear function? Why?

    • Answer: The derivative of a linear function f(x)=mx+bf(x) = mx + b is equal to its slope mm (f′(x)=mf'(x) = m).
    • Explanation: A linear function has a constant rate of change across its entire domain. The tangent line at any point on a line is the line itself, so its slope is always mm
  2. What is the derivative of any constant function? Why?

    • Answer: The derivative of a constant function f(x)=cf(x) = c is 00 (f′(x)=0f'(x) = 0).
    • Explanation: A constant function produces a horizontal line on a graph. Horizontal lines have zero rise over run, meaning their slope is zero everywhere.
  3. How is the derivative of a function f(x)f(x) at x=ax = a related to the AROC of f(x)f(x) containing the point x=ax = a?

    • Answer: The derivative f′(a)f'(a) is defined as the limit of the average rate of change (AROC) over an interval [a,a+h][a, a + h] as the interval width hh approaches zero (h→0h \rightarrow 0). Graphically, f′(a)f'(a) is the slope of the tangent line, which is the limit of the slopes of the secant lines through (a,f(a))(a, f(a)).
  4. True or False: If f′(x)=0f'(x) = 0 at the point x=ax = a, then f(x)f(x) must have either a maximum or a minimum at that point.

    • Answer: False.
    • Explanation: A derivative of zero (f′(a)=0f'(a) = 0) indicates a horizontal tangent line, but this can also occur at a stationary inflection point (such as f(x)=x3f(x) = x^3 at x=0x = 0), where the function has neither a local maximum nor a local minimum.
  5. True or False: If a function f(x)f(x) attains a maximum or a minimum at x=ax = a, then f′(a)=0f'(a) = 0

    • Answer: False.
    • Explanation: A local maximum or minimum can occur at a sharp corner or cusp where the derivative does not exist (is undefined), such as f(x)=∣x∣f(x) = |x| at x=0x = 0. Fermat's Theorem states that if f(x)f(x) is differentiable at a local extremum x=ax = a, then f′(a)=0f'(a) = 0; however, without the guarantee of differentiability, the general statement is false.