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 10 · Topic 10.6 · BC Only

Comparison Tests for Convergence

Transfer convergence or divergence from a known positive benchmark through a valid inequality or an asymptotically finite positive ratio.

1. Topic Focus

Determine series convergence, estimate error, construct Taylor approximations, and represent functions with power series on valid intervals.

This topic: Transfer convergence or divergence from a known positive benchmark through a valid inequality or an asymptotically finite positive ratio.

2. Key Relationship

\(\lim\limits_{n\to\infty}\frac{a_n}{b_n}=L,\quad0

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

3. Visual Connection

benchmark
Convergence comparisonVerify each test's hypotheses, then compare decay with an integral, p-series, ratio, or positive benchmark.

4. Worked Example

Choose a p-series or geometric benchmark from the dominant behavior, then state why the comparison direction supports the conclusion.

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

5. Concept Development

BC-only topic. Comparison tests classify a positive-term series by relating it to a known benchmark, usually a \(p\)-series or geometric series. The comparison must have the correct logical direction.

Direct Comparison Test

Assume \(a_n,b_n\ge0\) for all sufficiently large \(n\).

\(\boxed{0\le a_n\le b_n\text{ and }\sum b_n\text{ converges}\Longrightarrow\sum a_n\text{ converges}.}\)
\(\boxed{a_n\ge b_n\ge0\text{ and }\sum b_n\text{ diverges}\Longrightarrow\sum a_n\text{ diverges}.}\)

A smaller positive series is controlled by a convergent ceiling. A larger positive series is forced upward by a divergent floor.

Directions that prove nothing

  • Being smaller than a divergent series does not decide convergence.
  • Being larger than a convergent series does not decide divergence.

For instance, \(1/n^2<1/n\), but the smaller series converges while the larger one diverges.

Why direct comparison works

Termwise inequalities transfer to partial sums. If \(0\le a_n\le b_n\), then

\(\sum_{n=N}^{M}a_n\le\sum_{n=N}^{M}b_n.\)

A bounded increasing sequence of partial sums converges; an increasing sequence forced above an unbounded benchmark diverges.

Build useful inequalities

For positive quantities, a larger denominator produces a smaller reciprocal:

\(n^3+2n+1\ge n^3\quad\Longrightarrow\quad\frac1{n^3+2n+1}\le\frac1{n^3}.\)

To prove divergence, seek a lower bound such as \(a_n\ge C/n\). Check that all quantities are positive before taking reciprocals or cross-multiplying.

Choose a benchmark from dominant behavior

  • Rational powers of \(n\): compare leading powers and use \(1/n^p\).
  • Exponentials: compare dominant bases and use a geometric series.
  • Bounded factors: use \(|\sin n|\le1\), \(|\cos n|\le1\), or another fixed bound.
  • Factorials: a geometric bound may work, though the Ratio Test is often simpler.

Limit Comparison Test

For eventually positive \(a_n,b_n\), if

\(\boxed{\lim\limits_{n\to\infty}\frac{a_n}{b_n}=L,\qquad0<L<\infty,}\)

then \(\sum a_n\) and \(\sum b_n\) have the same convergence behavior. The finite positive limit means \(a_n\) is asymptotically a constant multiple of \(b_n\).

Useful one-sided limit cases

  • If \(a_n/b_n\to0\) and \(\sum b_n\) converges, then \(\sum a_n\) converges.
  • If \(a_n/b_n\to\infty\) and \(\sum b_n\) diverges, then \(\sum a_n\) diverges.

The reversed pairings are inconclusive: ratio \(0\) with a divergent benchmark, or ratio \(\infty\) with a convergent benchmark, provides no classification.

Direct or limit comparison?

Use direct comparison when a clean inequality is visible. Use limit comparison when numerator and denominator contain sums whose leading terms clearly determine long-run behavior but a useful global inequality is awkward.

Eventually is enough

Both tests require the comparison only for all sufficiently large \(n\). Finitely many exceptions do not affect convergence, so state a threshold \(n\ge N\) when needed.

Series with signs

Direct and limit comparison are designed for nonnegative terms. For a sign-changing series, they may be applied to \(\sum|a_n|\) to prove absolute convergence. They do not by themselves establish conditional convergence.

Comparison does not find the sum

Even when \(\lim a_n/b_n=1\), the series do not generally have equal sums. The conclusion concerns convergence behavior only.

Comparison checklist

  1. Apply the nth term test first.
  2. Confirm eventual nonnegativity.
  3. Identify the dominant form and choose a known benchmark.
  4. For direct comparison, write the termwise inequality and check its logical direction.
  5. For limit comparison, compute the ratio limit and verify its useful case.
  6. Name the benchmark's convergence behavior and state the transferred conclusion.

6. Detailed Worked Example and Error Check

Example 1: Direct comparison with a convergent \(p\)-series

For positive \(n\),

\(0<\frac1{n^3+3n+1}<\frac1{n^3}.\)

Since \(\sum1/n^3\) converges, \(\sum1/(n^3+3n+1)\) converges by direct comparison.

Example 2: Direct comparison with a geometric series

\(0<\frac1{2^n+1}<\frac1{2^n}=\left(\frac12\right)^n.\)

The geometric benchmark converges, so \(\sum1/(2^n+1)\) converges.

Example 3: A divergent lower bound

For \(n\ge2\), \(\ln n<n\), hence

\(\frac1{\ln n}>\frac1n.\)

The harmonic series diverges, so \(\sum_{n=2}^{\infty}1/\ln n\) diverges by direct comparison.

Example 4: Create a harmonic lower bound

For \(n\ge1\), \(n^2+1\le2n^2\), so

\(\frac{n}{n^2+1}\ge\frac{n}{2n^2}=\frac1{2n}.\)

Since \(\sum1/(2n)\) diverges, \(\sum n/(n^2+1)\) diverges.

Example 5: Limit comparison with \(1/n^2\)

Let \(a_n=(3n+1)/(n^3+2)\) and \(b_n=1/n^2\). Then

\(\lim\limits_{n\to\infty}\frac{a_n}{b_n}=\lim\limits_{n\to\infty}\frac{3n^3+n^2}{n^3+2}=3.\)

Since \(0<3<\infty\) and \(\sum b_n\) converges, \(\sum a_n\) converges.

Example 6: Limit comparison with the harmonic series

For \(a_n=(n+2)/(n^2+1)\) and \(b_n=1/n\),

\(\lim\limits_{n\to\infty}\frac{a_n}{b_n}=\lim\frac{n^2+2n}{n^2+1}=1.\)

The harmonic benchmark diverges, so the original series diverges.

Example 7: A radical denominator

Compare \(a_n=1/(\sqrt n+1)\) with \(b_n=1/\sqrt n\):

\(\lim\frac{a_n}{b_n}=\lim\frac{\sqrt n}{\sqrt n+1}=1.\)

Since the \(p=1/2\) benchmark diverges, the original series diverges.

Example 8: Exponential direct comparison

Because \(3^n+n>3^n\),

\(0<\frac{2^n}{3^n+n}<\left(\frac23\right)^n.\)

The geometric benchmark converges, so the original series converges.

Example 9: Bounded oscillation and absolute convergence

Since \(|\cos n|\le1\),

\(0\le\left|\frac{\cos n}{n^2}\right|\le\frac1{n^2}.\)

Thus \(\sum|\cos n|/n^2\) converges, so \(\sum\cos n/n^2\) converges absolutely.

Example 10: An inconclusive comparison choice

If \(a_n=1/n^2\) and the chosen benchmark is \(b_n=1/n^3\), then \(a_n/b_n=n\to\infty\). Because \(\sum b_n\) converges, this limit pairing gives no information. Choosing the exact \(p=2\) form classifies \(\sum a_n\) immediately.

Common errors

  • Using a convergent lower bound to claim convergence.
  • Using a divergent upper bound to claim divergence.
  • Reversing a reciprocal inequality.
  • Comparing terms that are not eventually nonnegative.
  • Choosing a benchmark from lower-order rather than dominant terms.
  • Claiming equal sums from a limit ratio of \(1\).
  • Using a ratio limit of \(0\) or infinity without checking the benchmark direction.
  • Forcing direct comparison when limit comparison is much cleaner.
  • Ignoring that a comparison only needs to hold eventually.
  • Using comparison on signed terms without explaining absolute values.

7. AP Reasoning Routine

Check the nth-term condition first, match the series structure to a justified test, state convergence type, and test power-series endpoints separately.

  • 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

Use a direct or limit comparison and justify the benchmark.
(a) \(\sum_{n=1}^{\infty}1/(n^4+7)\).
(b) \(\sum_{n=1}^{\infty}1/(\sqrt n+5)\).
(c) \(\sum_{n=2}^{\infty}(2n^2+1)/(n^4-3)\).
(d) \(\sum_{n=1}^{\infty}(n^3+1)/(n^4+n)\).
(e) \(\sum_{n=1}^{\infty}4^n/(5^n+n^2)\).
(f) \(\sum_{n=3}^{\infty}1/(\ln n)^2\).
(g) \(\sum_{n=1}^{\infty}\sin^2n/n^2\).
(h) \(\sum_{n=1}^{\infty}(-1)^n/(n^2+1)\).
(i) \(\sum_{n=2}^{\infty}1/(n^2-1)\).
(j) Explain why \(1/(n^2-1)>1/n^2\) does not prove convergence by direct comparison, then name a suitable method.
(k) Use the one-sided limit comparison case on \(a_n=1/n^3\) and \(b_n=1/n^2\).
(l) Use the one-sided limit comparison case on \(a_n=1/\sqrt n\) and \(b_n=1/n\).

Check the solution

(a) \(0<1/(n^4+7)<1/n^4\). The \(p=4\) benchmark converges, so the series converges.
(b) Compare with \(1/\sqrt n\). The ratio \(\sqrt n/(\sqrt n+5)\to1\), and the \(p=1/2\) series diverges, so the given series diverges.
(c) Compare with \(1/n^2\): \(\lim[(2n^2+1)/(n^4-3)]/(1/n^2)=2\). The series converges.
(d) Compare with \(1/n\): \(\lim[(n^3+1)/(n^4+n)]/(1/n)=1\). The series diverges.
(e) Since \(5^n+n^2>5^n\), \(0<4^n/(5^n+n^2)<(4/5)^n\). The series converges.
(f) For sufficiently large \(n\), \((\ln n)^2<n\), so \(1/(\ln n)^2>1/n\). The series diverges by direct comparison.
(g) \(0\le\sin^2n/n^2\le1/n^2\), so the series converges.
(h) \(1/(n^2+1)<1/n^2\), so the absolute-value series converges. The original series converges absolutely.
(i) Compare with \(1/n^2\): \(\lim[n^2/(n^2-1)]=1\). The series converges.
(j) A series larger than a convergent benchmark may converge or diverge, so that inequality has the wrong direction. Limit comparison with \(1/n^2\) gives ratio \(1\) and proves convergence.
(k) \(a_n/b_n=1/n\to0\), and \(\sum b_n=\sum1/n^2\) converges. Therefore \(\sum a_n=\sum1/n^3\) converges.
(l) \(a_n/b_n=\sqrt n\to\infty\), and \(\sum b_n=\sum1/n\) diverges. Therefore \(\sum a_n=\sum1/\sqrt n\) diverges.