Session 05-05 - Graphical Calculus Mastery

Section 05: Differential Calculus

Author

Dr. Nikolai Heinrichs & Dr. Tobias Vlćek

Entry Quiz - 10 Minutes

Quick Review from Session 05-04

Test your understanding of chain rule and implicit differentiation

  1. Differentiate \(f(x) = (2x^3 - 5)^4\) using the chain rule.

  2. Find \(\frac{dy}{dx}\) if \(x^2 + xy = 10\).

  3. If \(f'(3) = 0\), what does this tell about the graph of \(f(x)\) at \(x = 3\)?

Homework Discussion - 15 Minutes

Your questions from Session 05-04

What questions do you have regarding the previous session?

Learning Objectives

What You’ll Master Today

  • Sketch \(f'(x)\) from the graph of \(f(x)\) by analyzing slopes
  • Determine properties of \(f(x)\) from the graph of \(f'(x)\)
  • Understand concavity through second derivatives \(f''(x)\)
  • Identify critical points and their classification
  • Find inflection points where concavity changes
  • Master visual analysis - a heavily tested exam skill!

. . .

NoteKey Insight

Being able to translate between graphs of \(f\), \(f'\), and \(f''\) is one of the most important visual skills in calculus and frequently tested!

Part A: From Function to Derivative

Understanding the Derivative Graph

The graph of \(f'(x)\) shows the slope of \(f(x)\) at each point.

. . .

What to look for in \(f(x)\):

  • Where \(f\) is increasing\(f'(x) > 0\) (derivative is positive)
  • Where \(f\) is decreasing\(f'(x) < 0\) (derivative is negative)
  • Where \(f\) has a horizontal tangent\(f'(x) = 0\) (crosses x-axis)
  • Where \(f\) is steep\(|f'(x)|\) is large
  • Where \(f\) is flat\(|f'(x)|\) is small

. . .

This shouldn’t be too complicated, right?

Sketching \(f'\) from \(f\)

A parabola and its derivative: \(f(x) = x^2\)

. . .

\(f\) has minimum at \(x = 0\)\(f'\) crosses zero

Step-by-Step: Sketching the Derivative

The process is rather straightforward:

  1. Identify critical points: Where does \(f\) have horizontal tangents? Mark these as zeros of \(f'\)

  2. Determine sign: Where is \(f\) increasing/decreasing? Make \(f'\) positive/negative accordingly

  3. Consider steepness:

    • Where is \(f\) very steep? Make \(|f'|\) large.
    • Where is \(f\) nearly flat? Make \(|f'|\) small.
  4. Check concavity: Is \(f'\) increasing or decreasing? This tells you about the concavity of \(f\)

Complex Example

A cubic function and its derivative.

. . .

\(f\) increasing, then decreasing, then increasing → \(f'\) crosses zero twice

Critical Points

A point \(x = c\) where either:

  • \(f'(c) = 0\) (horizontal tangent), or
  • \(f'(c)\) does not exist (corner, cusp, vertical tangent)

. . .

TipClassification of Critical Points
  • Local maximum: \(f'\) changes from positive to negative
  • Local minimum: \(f'\) changes from negative to positive
  • Neither: \(f'\) doesn’t change sign (e.g., \(f(x) = x^3\) at \(x = 0\))

Part B: From Derivative to Function

Reading Information from \(f'(x)\)

Given the graph of \(f'(x)\), we can determine:

  1. Where \(f\) is increasing/decreasing:

    • \(f'(x) > 0\)\(f\) is increasing
    • \(f'(x) < 0\)\(f\) is decreasing
  2. Where \(f\) has local extrema: \(f'\) crosses zero

    • Sign change determines type!
  3. Where \(f\) is steepest: Where \(|f'(x)|\) is largest

  4. Relative heights: Cannot determine absolute \(y\)-values!

    • Can determine relative changes!

Example: Reading from \(f'(x)\)

. . .

  • \(f' > 0\) on \((-2, 2)\)\(f\) increasing, \(f' < 0\) for \(|x| > 2\)\(f\) decreasing
  • \(f'\) changes at \(x = -2, 2\)\(f\) has local extrema

Quick Practice - 10 Minutes

Individual Exercise I

Sketch the derivative of this function!

Individual Exercise II

The Questions:

  1. Where is \(f'(x) > 0\), \(f'(x) < 0\), and \(f'(x) = 0\)?

  2. Sketch the graph of \(f'(x)\).

  3. At what points does \(f'(x)\) not exist?

Break - 10 Minutes

Part C: Second Derivatives and Concavity

Understanding Concavity

Describes the curving behavior of a function.

. . .

  • Concave up (⌣): Curves upward like a smile
    • \(f''(x) > 0\)
    • The slope \(f'(x)\) is increasing
    • “Holds water”
  • Concave down (⌢): Curves downward like a frown
    • \(f''(x) < 0\)
    • The slope \(f'(x)\) is decreasing
    • “Spills water”

Visualizing Concavity

Concave up vs. concave down

. . .

\(f''(x)\) tells us how \(f'(x)\) is changing, which determines the shape of \(f(x)\).

Inflection Points

A point where concavity changes!

. . .

  • \(f''(x) = 0\) or \(f''(x)\) does not exist
  • Concavity changes (from ⌣ to ⌢ or vice versa)

. . .

Example: \(f(x) = x^3\)

  • \(f'(x) = 3x^2\)
  • \(f''(x) = 6x\)
  • \(f''(0) = 0\) and concavity changes at \(x = 0\)
  • So \((0, 0)\) is an inflection point

Relationships Between \(f\), \(f'\), and \(f''\)

. . .

  • Where \(f'' < 0\): \(f\) concave down, \(f'\) decreasing, where \(f'' > 0\): \(f\) concave up, \(f'\) increasing
  • Where \(f'' = 0\): Inflection point in \(f\), extremum in \(f'\)

Part D: Complete Analysis

The Complete Picture

Given a function \(f(x)\), complete analysis involves:

  1. Critical points: Solve \(f'(x) = 0\)
  2. First derivative test: Check sign changes of \(f'\) to classify extrema
  3. Inflection points: Solve \(f''(x) = 0\) and check for concavity change
  4. Intervals: Determine where \(f\) is increasing/decreasing and where concave up/down
  5. Key points: Evaluate \(f\) at critical points and inflection points

Example: Complete Analysis

Analyze \(f(x) = x^4 - 4x^3\)

. . .

First derivative:

. . .

\[f'(x) = 4x^3 - 12x^2 = 4x^2(x - 3)\]

. . .

Critical points: \(x = 0, 3\)

. . .

Second derivative:

. . .

\[f''(x) = 12x^2 - 24x = 12x(x - 2)\]

. . .

Inflection points: \(x = 0, 2\)

Analysis Visualization

Complete analysis of f(x) = x⁴ - 4x³

Guided Practice

Practice Set A: Sketching Derivatives

For each function graphed below, sketch \(f'(x)\) and identify:

  • Where \(f'(x) > 0, < 0, = 0\) and any points where \(f'\) does not exist

Practice B: From Derivative I

Continue working for 10 minutes

Given the graph of \(f'(x)\), answer:

  1. Where is \(f(x)\) increasing/decreasing?
  2. Where does \(f(x)\) have local extrema? Classify them.
  3. Sketch a possible graph of \(f(x)\).

Practice B: From Derivative II

Quick Practice: Derivative Sketching

Work individually for 5 minutes

For each function described, sketch both \(f(x)\) and \(f'(x)\):

  1. \(f(x) = x^3 - 3x\) (cubic with local max and min)

  2. \(f(x) = |x - 2|\) (V-shape shifted right)

  3. \(f(x)\) is constant for \(x < 0\), then increases linearly for \(x \geq 0\)

  4. \(f(x)\) has \(f'(x) > 0\) everywhere but \(f'(x) \to 0\) as \(x \to \infty\)

Coffee Break - 15 Minutes

Business Applications

Profit Function Analysis

Business Context: A company’s monthly profit (in thousands €) is modeled by: \[P(t) = -t^3 + 12t^2 - 36t + 50\] where \(t\) is months since product launch.

. . .

Questions:

  1. When is profit increasing/decreasing?
  2. When does profit reach local extrema?
  3. When is the rate of profit change accelerating/decelerating?

Profit Analysis Solution

First derivative (profit rate of change): \[P'(t) = -3t^2 + 24t - 36 = -3(t^2 - 8t + 12) = -3(t - 2)(t - 6)\]

. . .

Critical points: \(t = 2, 6\) months

. . .

Second derivative (acceleration of profit change): \[P''(t) = -6t + 24 = -6(t - 4)\]

. . .

Inflection point: \(t = 4\) months

Profit Visualization

. . .

Question: How would you describe the behaviour?

Profit Interpretation

TipReading Business Graphs: Quick Rules
  • \(P'(t) > 0\) → Profit is growing (good news!)
  • \(P'(t) < 0\) → Profit is shrinking (warning sign)
  • \(P'(t) = 0\) → Profit has reached a turning point (decision time)

The sign of the derivative tells you the direction of change!

. . .

NoteInflection Points in Business

The inflection point (\(P''(t) = 0\) at month 4) marks where:

  • Before: Profit is accelerating (growth speeding up)
  • After: Profit is decelerating (growth slowing down)

Business insight: Month 4 is when the company should start planning for the eventual peak. Growth is still positive but momentum is fading!

Collaborative Problem-Solving

Challenge: Complete Function Analysis

Scenario: A manufacturing company models their weekly profit (in thousands €) as a function of production quantity:

\[\Pi(q) = -0.02q^3 + 1.5q^2 - 20q + 50\]

where \(q\) is quantity produced (in hundreds of units), with \(q \in [0, 50]\).

Tasks

Work in groups of 3-4

  1. Find \(\Pi'(q)\) and determine where profit is increasing vs. decreasing. Interpret economically.

  2. Find \(\Pi''(q)\) and locate any inflection points - what do they say about profit growth?

  3. Sketch the graphs of \(\Pi(q)\), \(\Pi'(q)\), and \(\Pi''(q)\) on \(q \in [0, 50]\).

  4. Find all critical points and classify them as local maxima or minima using the second derivative test.

  5. Business question: Current production is 1,500 units (\(q = 15\)) - raise or lower it, and by how much? Justify with calculus.

Think-Pair-Share - 7 Minutes

Discussion Question

Think individually, then discuss with class

Question: Consider these scenarios:

  • Company A: Stock price \(S_A(t)\) is \(S'_A > 0\) but \(S''_A < 0\)
  • Company B: Stock price \(S_B(t)\) is \(S'_B < 0\) but \(S''_B > 0\)
  1. Which company is in a better position right now?
  2. Which company shows more promising momentum for the future?
  3. In financial terms, what do \(S'\) and \(S''\) represent?
  4. Can you think of real-world examples of each scenario?

Wrap-Up & Key Takeaways

The Derivative Overview

If you know… You can determine…
\(f' > 0\) \(f\) is increasing
\(f' < 0\) \(f\) is decreasing
\(f' = 0\) Possible local extremum
\(f'' > 0\) \(f\) concave up, \(f'\) increasing
\(f'' < 0\) \(f\) concave down, \(f'\) decreasing
\(f'' = 0\) Possible inflection point

. . .

These are heavily Tested Skills in FSP!!!

Final Assessment - 5 Minutes

Quick Check I

Consider this function:

Quick Check II

Work individually, then we compare

  1. Where is \(f'(x) > 0\)?

  2. At \(x = 1\), is this a local max, local min, or neither?

  3. Where is \(f(x)\) concave up?

  4. True or False: If \(f'(c) = 0\), then \(f\) must have a local extremum at \(x = c\).

Next Session Preview

Session 05-06

Optimization & Curve Sketching

  • First and second derivative tests for extrema classification
  • Global maxima/minima on closed intervals
  • Complete curve sketching algorithm (6 steps)
  • Business optimization: profit maximization, cost minimization
  • Interpreting results in real-world context

. . .

Complete Tasks 05-05!

Appendix

Profit function and its derivatives