The Second Derivative Test - Complete Interactive Lesson
Part 1: Understanding Concavity
∫ Concavity & Inflection Points
Part 1 of 7 — Understanding Concavity
🔑 Key Concept: The second derivative tells us about the shape of a curve — whether it bends upward (concave up) or downward (concave down).
📖 What Is Concavity?
Interpretations
| Concavity | Rate of Change | ||
|---|---|---|---|
| Up () | Increasing | Slopes increase | |
| Down () | Decreasing | Slopes decrease |
Visual Test
- Concave up: Tangent lines lie BELOW the curve
- Concave down: Tangent lines lie ABOVE the curve
- If you drive along the curve, you'd turn your steering wheel left (concave up) or right (concave down)
Example:
- : → concave down
- : → concave up
- : inflection point (concavity changes!)
Finding Intervals of Concavity
Step-by-Step Process
- Find
- Set and find where is undefined → candidate inflection points
- Test intervals: create a sign chart for
- → concave up; → concave down
Example:
:
Sign chart for :
| Interval | Concavity | |
|---|---|---|
| Up | ||
| Down | ||
| Up |
Concavity Basics 🎯
📌 Inflection Points
An inflection point is where concavity changes.
Requirements
- or is undefined
- changes sign at
- exists (point must be on the curve)
⚠️ Does NOT Guarantee an Inflection Point!
: ,
But does NOT change sign at (it's positive on both sides).
So is NOT an inflection point.
Shortcut: If changes sign → inflection point. If doesn't change sign → not an inflection point.
AP Tip: When asked to "justify" an inflection point, you MUST show the sign change in . Simply stating is insufficient.
Find Inflection Points 🧮
1) . Inflection point x-coordinate: (integer)
2) . Number of inflection points: (integer)
Concavity Concepts 🔽
Exit Quiz ✅
Part 2: The Second Derivative Test for Extrema
∫ Concavity & Inflection Points — Part 2
Part 2 of 7 — The Second Derivative Test for Extrema
📖 Second Derivative Test
At a critical point where :
Why It Works
- and : curve is concave up at → shape → minimum
- and : curve is concave down at → shape → maximum
Example:
→
- → local min at ;
- → local max at ;
Second Derivative Test vs. First Derivative Test
| Feature | First DT | Second DT |
|---|---|---|
| Requires | Sign chart of | Computing |
| Always works? | Yes | No (inconclusive if ) |
| Speed | Slower (test intervals) | Faster (one computation) |
| Information | Also finds increasing/decreasing | Only classifies critical points |
When Second DT Fails
: , → inconclusive!
Use First Derivative Test: changes from to → minimum.
AP Tip: If the second derivative test is inconclusive, explicitly state so and switch to the first derivative test.
Second Derivative Test 🎯
📌 Comprehensive Example
Critical points:
| Type | |||
|---|---|---|---|
| Min | |||
| Max | |||
| Min |
Local max: . Local mins: and .
Second DT Practice 🧮
1) . (integer, determines max/min)
2) . (integer)
Test Selection 🔽
Exit Quiz ✅
Part 3: Complete Curve Sketching Framework
∫ Concavity & Inflection Points — Part 3
Part 3 of 7 — Complete Curve Sketching Framework
📖 The Complete Curve Sketching Checklist
- Domain and key features (-intercepts, -intercept)
- Symmetry (even, odd, periodic)
- First derivative → critical points, increasing/decreasing
- Second derivative → inflection points, concavity
- End behavior → limits as
- Asymptotes (vertical, horizontal)
- Plot key points and connect
Example:
Critical points: (max, ), (min, )
Inflection point: ()
| Interval | Shape | ||
|---|---|---|---|
| ↗ | |||
| ↘ | |||
| ↘ | |||
| ↗ |
The Four Shape Combinations
| Shape | Description | ||
|---|---|---|---|
| ↗ | Increasing, concave up | ||
| ↗ | Increasing, concave down | ||
| ↘ | Decreasing, concave up | ||
| ↘ | Decreasing, concave down |
Transitions
- : changes from increasing ↔ decreasing (potential extremum)
- with sign change: changes concavity (inflection point)
- Both change: the four shapes cycle through combinations
Shape Analysis 🎯
📌 AP-Style Complete Analysis
Domain: All real numbers
Symmetry: Odd ()
: Using quotient rule:
Critical: . (min), (max)
:
Inflection:
End behavior: (HA: )
This is a classic AP exam function.
Curve Analysis 🧮
1) . Number of inflection points: (integer)
2) . Local min value: (integer)
Curve Sketching Steps 🔽
Exit Quiz ✅
Part 4: Reading Derivative Graphs
∫ Concavity & Inflection Points — Part 4
Part 4 of 7 — Reading Derivative Graphs
📖 From Graph to Information
The graph of tells us the shape of (but not its values, which need an initial condition such as ):
| Feature of graph | Information about |
|---|---|
| is increasing | |
| is decreasing | |
| has critical point | |
| changes + to - | has local maximum |
| changes - to + | has local minimum |
| is increasing | is concave up |
| is decreasing | is concave down |
| has a max/min | has inflection point |
Critical Insight: The concavity of comes from the slope of , not its sign!
From Graph to Information
| Feature of graph | Information about |
|---|---|
| concave up | |
| concave down | |
| crosses x-axis | has inflection point |
| touches but doesn't cross | Not an inflection point |
Example Reading
If graph is a line crossing zero at :
- has an inflection point at
- Concavity changes at
If graph is a parabola touching zero at :
- NOT an inflection point at (no sign change)
Derivative Graph Reading 🎯
📌 Reconstructing from or
Key AP Skill
Given a graph of , sketch :
- Find zeros of → critical points of
- Where : goes up; where : goes down
- Where increases: is concave up
- Where decreases: is concave down
- Use values for steepness info
Common AP Setup
Given the graph of and , find .
This connects derivatives to integrals via the FTC!
Graph Reading 🧮
1) If has 3 local extrema, has ___ inflection points: (integer)
2) If at and on , is ___ on : (enter "increasing" or "decreasing")
Graph Feature Mapping 🔽
Exit Quiz ✅
Part 5: Position, Velocity, Acceleration & Concavity
∫ Concavity & Inflection Points — Part 5
Part 5 of 7 — Position, Velocity, Acceleration & Concavity
📖 Concavity in Motion
For position :
- = velocity
- = acceleration
Concavity ↔ Acceleration
| Concavity | Motion | ||
|---|---|---|---|
| Positive | Concave up | Speeding up (if ) | |
| Negative | Concave down | Slowing down (if ) |
⚠️ Speeding Up vs. Slowing Down
An object speeds up when and have the same sign:
- → speeding up forward
- → speeding up backward
An object slows down when and have opposite signs.
Inflection Point of
with sign change → acceleration changes direction.
This is when velocity reaches a local maximum or minimum. Speed may have a local extreme there too, but check the sign of and the endpoints before calling it the greatest speed.
Example: Complete Motion Analysis
for
| Time interval | Motion | ||
|---|---|---|---|
| Moving right, slowing down | |||
| Moving left, speeding up | |||
| Moving left, slowing down | |||
| Moving right, speeding up |
At : inflection point of , maximum leftward velocity.
AP Pattern: The particle changes direction at and (where changes sign). On it moves left, and its speed is greatest on that interval at , where (speed ). That is not the greatest speed for all : , and the speed grows without bound as .
Motion Analysis 🎯
📌 Free Fall & Projectile Motion
(with or )
(constant, always concave down)
Since always:
- While going up (): slowing down
- At the top (): instantaneously stopped
- While falling (): speeding up (downward)
Maximum Height
:
Motion Practice 🧮
1) . When does ? (integer)
2) At that time, (integer)
Motion Concepts 🔽
Exit Quiz ✅
Part 6: Connecting Concavity to Optimization
∫ Concavity & Inflection Points — Part 6
Part 6 of 7 — Connecting Concavity to Optimization
📖 Second Derivative Test in Optimization
In optimization problems, after finding critical points, the second derivative test confirms max/min:
Example: Maximize Area
A farmer has 400 ft of fencing for a rectangular pen against a barn. Maximize area.
→ maximum confirmed!
When the Domain is Restricted
If everywhere on an interval, then:
- Only ONE critical point → it MUST be the absolute max
- No need for endpoint checking if domain is all reals
If everywhere:
- The single critical point is the absolute min
Economic Applications
Marginal Analysis
= cost, = revenue, = profit
Profit is maximized when marginal revenue = marginal cost.
If (diminishing returns) and (increasing marginal cost), then → confirmed maximum.
Point of Diminishing Returns
The inflection point of : where revenue growth starts slowing.
with sign change from + to - → this is where each additional unit adds less revenue than the previous one.
Optimization & Concavity 🎯
📌 Global vs. Local Extrema
Closed Interval Method (Absolute Extrema)
On a closed interval :
- Find all critical points in
- Evaluate at critical points AND endpoints
- Largest value = absolute max, smallest = absolute min
When Second Derivative Helps
If there's only one critical point on the domain:
- → absolute minimum
- → absolute maximum
Example: Minimize Surface Area
Cylinder with volume . Minimize .
Constraint:
always → confirmed minimum!
Optimization Check 🧮
1) . (integer, confirms max/min?)
2) is maximized at (integer)
Optimization Strategies 🔽
Exit Quiz ✅
Part 7: AP Free Response Justifications
∫ Concavity & Inflection Points — Part 7
Part 7 of 7 — AP Free Response Justifications
📖 AP Justification Standards
The AP exam requires specific language when justifying conclusions about concavity and inflection points.
Justifying Local Extrema
Using First Derivative Test: "Since changes from positive to negative at , has a local maximum at ." ✅
Using Second Derivative Test: "Since and , has a local maximum at ." ✅
Justifying Inflection Points
"Since changes sign at (from negative to positive), has an inflection point at ." ✅
", so is an inflection point." ❌ (Insufficient! Need sign change!)
AP Free Response Walkthrough
Given:
(a) Find where has local extrema.
at .
Sign analysis of :
- on , on
- on (, doesn't change sign!)
- on
Local max at (+ to -). Local min at (- to +). is NOT an extremum (no sign change).
(b) Find inflection points.
Inflection points of are where changes sign, which is where switches between increasing and decreasing.
Let . Then , so .
at , , and .
Sign analysis of :
- on , on
- on , on
changes sign at all three values, so has inflection points at , , and .
Check with : on with , so has a local max at and a local min in each of and . Those three extrema of are exactly the three inflection points. Note that is an inflection point even though it is not an extremum of .
AP Justifications 🎯
📌 Common AP Setups
Type 1: Given as a formula
Find critical points, use or sign chart.
Type 2: Given as a graph
Read increasing/decreasing, extrema, concavity from the graph.
Type 3: Given a table of , , values
Use values to determine properties at specific points.
| 0 | 3 | 4 | |
| 1 | 1 | 0 | |
| 2 | 2 | 3 | 0 |
| 3 | 5 | 1 |
From this table:
- At : and → local maximum
- At : is decreasing, concave up
- At : , but and are both negative. The table shows no sign change around , so it gives no evidence of an inflection point there. A zero of is only a candidate.
- Between and : goes from to . If is continuous, it changes sign somewhere in , so has an inflection point in that interval.
AP Practice 🧮
1) . Number of inflection points: (integer)
2) Same : -value of local maximum: (integer)
Final Concepts 🔽
Final Exit Quiz ✅