AP Course

AP Calculus AB/BC

Study the complete College Board sequence for AP Calculus AB and BC, from limits through infinite series.

Choose an official unit and topic to open its lecture, concept check, or focused practice.

Lessons
1.1 Introducing Calculus: Can Change Occur at an Instant?1.2 Defining Limits and Using Limit Notation1.3 Estimating Limit Values from Graphs1.4 Estimating Limit Values from Tables1.5 Determining Limits Using Algebraic Properties of Limits1.6 Determining Limits Using Algebraic Manipulation1.7 Selecting Procedures for Determining Limits1.8 Determining Limits Using the Squeeze Theorem1.9 Connecting Multiple Representations of Limits1.10 Exploring Types of Discontinuities1.11 Defining Continuity at a Point1.12 Confirming Continuity over an Interval1.13 Removing Discontinuities1.14 Connecting Infinite Limits and Vertical Asymptotes1.15 Connecting Limits at Infinity and Horizontal Asymptotes1.16 Working with the Intermediate Value Theorem (IVT)2.1 Defining Average and Instantaneous Rates of Change at a Point2.2 Defining the Derivative of a Function and Using Derivative Notation2.3 Estimating Derivatives of a Function at a Point2.4 Connecting Differentiability and Continuity: Determining When Derivatives Do and Do Not Exist2.5 Applying the Power Rule2.6 Derivative Rules: Constant, Sum, Difference, and Constant Multiple2.7 Derivatives of cos x, sin x, e^x, and ln x2.8 The Product Rule2.9 The Quotient Rule2.10 Finding the Derivatives of Tangent, Cotangent, Secant, and/or Cosecant Functions3.1 The Chain Rule3.2 Implicit Differentiation3.3 Differentiating Inverse Functions3.4 Differentiating Inverse Trigonometric Functions3.5 Selecting Procedures for Calculating Derivatives3.6 Calculating Higher-Order Derivatives4.1 Interpreting the Meaning of the Derivative in Context4.2 Straight-Line Motion: Connecting Position, Velocity, and Acceleration4.3 Rates of Change in Applied Contexts Other Than Motion4.4 Introduction to Related Rates4.5 Solving Related Rates Problems4.6 Approximating Values of a Function Using Local Linearity and Linearization4.7 Using L’Hospital’s Rule for Determining Limits of Indeterminate Forms5.1 Using the Mean Value Theorem5.2 Extreme Value Theorem, Global Versus Local Extrema, and Critical Points5.3 Determining Intervals on Which a Function Is Increasing or Decreasing5.4 Using the First Derivative Test to Determine Relative (Local) Extrema5.5 Using the Candidates Test to Determine Absolute (Global) Extrema5.6 Determining Concavity of Functions over Their Domains5.7 Using the Second Derivative Test to Determine Extrema5.8 Sketching Graphs of Functions and Their Derivatives5.9 Connecting a Function, Its First Derivative, and Its Second Derivative5.10 Introduction to Optimization Problems5.11 Solving Optimization Problems5.12 Exploring Behaviors of Implicit Relations6.1 Exploring Accumulations of Change6.2 Approximating Areas with Riemann Sums6.3 Riemann Sums, Summation Notation, and Definite Integral Notation6.4 The Fundamental Theorem of Calculus and Accumulation Functions6.5 Interpreting the Behavior of Accumulation Functions Involving Area6.6 Applying Properties of Definite Integrals6.7 The Fundamental Theorem of Calculus and Definite Integrals6.8 Finding Antiderivatives and Indefinite Integrals: Basic Rules and Notation6.9 Integrating Using Substitution6.10 Integrating Functions Using Long Division and Completing the Square6.11 Integrating Using Integration by Parts6.12 Using Linear Partial Fractions6.13 Evaluating Improper Integrals6.14 Selecting Techniques for Antidifferentiation7.1 Modeling Situations with Differential Equations7.2 Verifying Solutions for Differential Equations7.3 Sketching Slope Fields7.4 Reasoning Using Slope Fields7.5 Approximating Solutions Using Euler’s Method7.6 Finding General Solutions Using Separation of Variables7.7 Finding Particular Solutions Using Initial Conditions and Separation of Variables7.8 Exponential Models with Differential Equations7.9 Logistic Models with Differential Equations8.1 Finding the Average Value of a Function on an Interval8.2 Connecting Position, Velocity, and Acceleration of Functions Using Integrals8.3 Using Accumulation Functions and Definite Integrals in Applied Contexts8.4 Finding the Area Between Curves Expressed as Functions of x8.5 Finding the Area Between Curves Expressed as Functions of y8.6 Finding the Area Between Curves That Intersect at More Than Two Points8.7 Volumes with Cross Sections: Squares and Rectangles8.8 Volumes with Cross Sections: Triangles and Semicircles8.9 Volume with Disc Method: Revolving Around the x- or y-Axis8.10 Volume with Disc Method: Revolving Around Other Axes8.11 Volume with Washer Method: Revolving Around the x- or y-Axis8.12 Volume with Washer Method: Revolving Around Other Axes8.13 The Arc Length of a Smooth, Planar Curve and Distance Traveled9.1 Defining and Differentiating Parametric Equations9.2 Second Derivatives of Parametric Equations9.3 Finding Arc Lengths of Curves Given by Parametric Equations9.4 Defining and Differentiating Vector-Valued Functions9.5 Integrating Vector-Valued Functions9.6 Solving Motion Problems Using Parametric and Vector-Valued Functions9.7 Defining Polar Coordinates and Differentiating in Polar Form9.8 Find the Area of a Polar Region or the Area Bounded by a Single Polar Curve9.9 Finding the Area of the Region Bounded by Two Polar Curves10.1 Defining Convergent and Divergent Infinite Series10.2 Working with Geometric Series10.3 The nth Term Test for Divergence10.4 Integral Test for Convergence10.5 Harmonic Series and p-Series10.6 Comparison Tests for Convergence10.7 Alternating Series Test for Convergence10.8 Ratio Test for Convergence10.9 Determining Absolute or Conditional Convergence10.10 Alternating Series Error Bound10.11 Finding Taylor Polynomial Approximations of Functions10.12 Lagrange Error Bound10.13 Radius and Interval of Convergence of Power Series10.14 Finding Taylor or Maclaurin Series for a Function10.15 Representing Functions as Power Series
Quizzes
Practice Problems AP formula notes, graph references, and practice sets will be added here.

AP Calculus AB/BC · Unit 5 · Topic 5.6

Determining Concavity of Functions over Their Domains

Use the sign of the second derivative and identify genuine changes in concavity.

1. Topic Focus

Use derivatives to prove existence, classify extrema, analyze monotonicity and concavity, sketch graphs, and solve optimization problems.

This topic: Use the sign of the second derivative and identify genuine changes in concavity.

2. Key Relationship

\(f''>0\Rightarrow\text{concave up},\quad f''<0\Rightarrow\text{concave down}\)

Read every symbol with its domain, direction, units, and hypotheses before applying the relationship.

3. Visual Connection

c1c2+-+sign of f''(x)concave upconcave downconcave up
Second-derivative sign determines concavityPartition the domain at zeros, undefined points, and domain breaks; only a genuine change in concavity at a point on the graph creates an inflection point.

4. Worked Example

An inflection point requires a concavity change, not only f″=0.

Write the governing relationship first, carry out the algebra cleanly, and finish with a sentence that answers the mathematical question.

5. Concept Development

1. Concavity describes changing slopes

Concavity does not describe whether a function is positive or negative. It describes how tangent slopes change as \(x\) increases. Increasing slopes make the graph concave up; decreasing slopes make it concave down.

2. The second-derivative connection

\(f''(x)>0\Rightarrow f'\text{ increases}\Rightarrow f\text{ is concave up},\)
\(f''(x)<0\Rightarrow f'\text{ decreases}\Rightarrow f\text{ is concave down}.\)

The sign of \(f''\), not the sign of \(f\) or \(f'\), determines concavity.

3. Start with the domain

Concavity intervals must lie inside the domain of \(f\). Holes, vertical asymptotes, and other excluded inputs divide the analysis even when they do not solve \(f''(x)=0\). Never join an interval across an input where the function does not exist.

4. Find possible transition inputs

Possible changes occur where \(f''(x)=0\), where \(f''(x)\) is undefined, or at a boundary between domain pieces. These values partition the domain; they are not automatically inflection inputs.

5. Use a second-derivative sign chart

  1. Find \(f''\).
  2. Mark its zeros and undefined points together with domain breaks.
  3. Choose a test input in every resulting open interval.
  4. Determine the sign of \(f''\).
  5. Translate positive to concave up and negative to concave down.

6. Define an inflection point correctly

An inflection point is a point \((c,f(c))\) on the graph where concavity changes across \(c\). Thus \(f(c)\) must exist and the graph must have opposite concavities on the two sides.

7. A zero second derivative is only a candidate

For \(f(x)=x^4\), \(f''(x)=12x^2\) equals zero at \(x=0\), but it is positive on both sides. The graph remains concave up, so \((0,0)\) is not an inflection point.

8. An undefined second derivative can still give inflection

For \(f(x)=x^{1/3}\), the function is continuous at zero while its concavity changes there. Thus \((0,0)\) is an inflection point even though \(f'(0)\) and \(f''(0)\) are undefined.

9. A discontinuity cannot be an inflection point

For \(f(x)=1/x\), concavity differs on the two sides of zero, but \(f(0)\) does not exist. There is no point on the graph at zero, so it is not an inflection input.

10. Read concavity from the graph of the first derivative

When a graph or table of \(f'\) is given, \(f\) is concave up where \(f'\) increases and concave down where \(f'\) decreases. The height of \(f'\) controls the direction of \(f\); the direction of \(f'\) controls the concavity of \(f\).

11. Separate direction from bending

\(\begin{array}{c|c|c|c}f'&f''&\text{direction of }f&\text{concavity}\\ \hline +&+&\text{increasing}&\text{up}\\ +&-&\text{increasing}&\text{down}\\ -&+&\text{decreasing}&\text{up}\\ -&-&\text{decreasing}&\text{down}\end{array}\)

A decreasing graph can be concave up when its negative slopes become less negative.

12. State intervals and points differently

Concavity is reported on open intervals, such as \((1,4)\). Inflection is reported as a point, such as \((2,f(2))\), unless only the input is requested. Keep domain restrictions visible.

13. Common errors

  • Using \(f'>0\) to claim concave up.
  • Calling every zero of \(f''\) an inflection point.
  • Ignoring points where \(f''\) is undefined.
  • Calling a discontinuity an inflection point.
  • Giving \(c\) without finding \(f(c)\) when a point is requested.
  • Joining intervals across a domain break.

6. Detailed Worked Example and Error Check

Example 1: Polynomial sign chart. For \(f(x)=x^4-4x^3\),

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

The sign pattern is positive, negative, positive across \(0\) and \(2\). Therefore \(f\) is concave up on \((-\infty,0)\) and \((2,\infty)\), and concave down on \((0,2)\). The inflection points are \((0,0)\) and \((2,-16)\).

Example 2: A zero without a change. For \(f(x)=x^4\), \(f''(x)=12x^2\). Although \(f''(0)=0\), it is positive on both sides. The function is concave up over its domain and has no inflection point.

Example 3: A cubic inflection point. Let \(f(x)=x^3-3x^2+2\). Since \(f''(x)=6x-6\), the graph is concave down on \((-\infty,1)\) and concave up on \((1,\infty)\). Because \(f(1)=0\), the inflection point is \((1,0)\).

Example 4: A domain break. For \(f(x)=1/x\), \(f''(x)=2/x^3\). The graph is concave down on \((-\infty,0)\) and concave up on \((0,\infty)\). Zero is not in the domain, so it is not an inflection input.

Example 5: An undefined derivative at inflection. For \(f(x)=x^{1/3}\),

\(f''(x)=-\frac{2}{9x^{5/3}},\qquad x\ne0.\)

The second derivative is positive for \(x<0\) and negative for \(x>0\). Since \(f\) is continuous at zero, \((0,0)\) is an inflection point.

Example 6: Two concavity changes. For \(f(x)=x^4-6x^2\), \(f''(x)=12(x^2-1)\). The graph is concave up on \((-\infty,-1)\) and \((1,\infty)\), and concave down on \((-1,1)\). Since \(f(\pm1)=-5\), the inflection points are \((-1,-5)\) and \((1,-5)\).

Example 7: Concavity in context. A height model is \(h(t)=t^3-6t^2+9t+4\) for \(0\le t\le5\). Since \(h''(t)=6t-12\), the graph is concave down on \((0,2)\) and concave up on \((2,5)\). Its velocity decreases before \(t=2\) and increases after it. Because \(h(2)=6\), the model has an inflection point at \((2,6)\).

7. AP Reasoning Routine

State theorem hypotheses, make sign charts on domain intervals, include endpoints when required, and connect derivative signs to function behavior.

  • Identify the representation and requested quantity.
  • State the rule or theorem and verify its conditions.
  • Keep exact values until the final requested approximation.
  • Interpret sign, units, interval, and context.
AP Checkpoint

Determine all concavity intervals and inflection points, or answer the stated conceptual question.
(a) \(f(x)=x^3-6x^2+9x\).
(b) \(f(x)=x^4-4x^2\).
(c) \(f(x)=x^5-5x^3\).
(d) Explain why \(f(x)=x^4\) has no inflection point at zero.
(e) Analyze \(f(x)=1/x\), including the role of the domain.
(f) Analyze \(f(x)=x^{1/3}\), including the derivative failure at zero.
(g) Suppose \(f'(x)=(x-1)^2(x+2)\). Determine the concavity intervals of \(f\).
(h) A continuous function has \(f''>0\) on \((-\infty,-2)\), \(f''<0\) on \((-2,3)\), and \(f''>0\) on \((3,\infty)\). State the concavity intervals and possible inflection inputs.
(i) Explain why opposite signs of \(f''\) around \(x=1\) do not make \(x=1\) an inflection input for \(f(x)=1/(x-1)\).
(j) If \(f'(a)<0\) and \(f''(a)>0\), describe the local direction and concavity of \(f\) near \(a\).

Check the solution

In part (a), \(f''(x)=6x-12\). The graph is concave down on \((-\infty,2)\), concave up on \((2,\infty)\), and has inflection point \((2,2)\). In part (b), \(f''(x)=12x^2-8\), which vanishes at \(x=\pm\sqrt{2/3}\). The graph is concave up outside those inputs and concave down between them. Since \(f(\pm\sqrt{2/3})=-20/9\), the inflection points are \((\pm\sqrt{2/3},-20/9)\). In part (c), \(f''(x)=10x(2x^2-3)\). Let \(r=\sqrt{3/2}\). The graph is concave down on \((-\infty,-r)\), concave up on \((-r,0)\), concave down on \((0,r)\), and concave up on \((r,\infty)\). The inflection points are \((-r,21r/4)\), \((0,0)\), and \((r,-21r/4)\). In part (d), \(f''(x)=12x^2\) is positive on both sides of zero, so concavity does not change. In part (e), \(f''(x)=2/x^3\), giving concave down on \((-\infty,0)\) and concave up on \((0,\infty)\), but no inflection point because \(f(0)\) is undefined. In part (f), \(f''(x)=-2/(9x^{5/3})\) is positive to the left and negative to the right. Continuity at zero makes \((0,0)\) an inflection point despite the derivative failure. In part (g), \(f'(x)=x^3-3x+2\), so \(f''(x)=3(x-1)(x+1)\). Thus \(f\) is concave up on \((-\infty,-1)\) and \((1,\infty)\), and concave down on \((-1,1)\). Without values of \(f\), only the inflection inputs \(-1\) and \(1\) can be reported. In part (h), the function is concave up on the first and third intervals and concave down on the middle interval. If the stated continuous function is defined at those inputs, \(-2\) and \(3\) are inflection inputs. In part (i), \(f(1)\) does not exist, so there is no graph point where inflection can occur. In part (j), \(f\) is decreasing because its slope is negative and concave up because its slopes are increasing.