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 10.5 · BC Only

Harmonic Series and p-Series

Recognize reciprocal-power benchmarks, identify their effective exponent, and use the critical value p=1 to classify convergence.

1. Topic Focus

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

This topic: Recognize reciprocal-power benchmarks, identify their effective exponent, and use the critical value p=1 to classify convergence.

2. Key Relationship

\(\sum_{n=1}^{\infty}\frac1{n^p}\begin{cases}\text{converges},&p>1\\\text{diverges},&p\le1\end{cases}\)

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

Rewrite roots and quotients as one power of n before comparing the exponent with 1.

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. Harmonic and \(p\)-series are standard benchmarks. Recognizing them quickly prevents unnecessary use of more complicated convergence tests and prepares the comparisons used later in Unit 10.

The harmonic series

\(\sum_{n=1}^{\infty}\frac1n=1+\frac12+\frac13+\frac14+\cdots\)

Its terms approach zero, but its partial sums grow without bound. Therefore the harmonic series diverges. It is the boundary \(p=1\) in the larger \(p\)-series family.

The \(p\)-series classification

\(\boxed{\sum_{n=1}^{\infty}\frac1{n^p}\begin{cases}\text{converges},&p>1,\\\text{diverges},&p\le1.\end{cases}}\)

The inequality is strict. Even an exponent just above \(1\) gives convergence, while \(p=1\) still diverges.

Why \(p=1\) is the threshold

Apply the Integral Test to \(f(x)=x^{-p}\). If \(p\ne1\),

\(\int_1^b x^{-p}dx=\frac{b^{1-p}-1}{1-p}.\)
  • If \(p>1\), then \(b^{1-p}\to0\), producing a finite limit.
  • If \(p<1\), then \(b^{1-p}\to\infty\), so the integral diverges.
  • If \(p=1\), then \(\int_1^b dx/x=\ln b\to\infty\).

Thus the integral and the corresponding \(p\)-series share exactly the stated classification.

A second proof that the harmonic series diverges

Group the positive terms in blocks whose lengths double:

\(1+\frac12+\left(\frac13+\frac14\right)+\left(\frac15+\cdots+\frac18\right)+\cdots.\)

Every block after the first contributes at least \(1/2\). Consequently,

\(H_{2^m}=\sum_{n=1}^{2^m}\frac1n\ge1+\frac m2,\)

which becomes arbitrarily large.

Slow divergence is still divergence

The harmonic partial sums grow roughly like \(\ln N\). Integral bounds give

\(\ln(N+1)\le H_N\le1+\ln N.\)

A long numerical table may look nearly stable, but no finite horizontal limit exists.

Reveal the effective exponent

Rewrite roots and quotients as one power of \(n\):

\(\frac{\sqrt n}{n^2}=\frac1{n^{3/2}},\qquad \frac1{n\sqrt[3]n}=\frac1{n^{4/3}}.\)

The exponent belongs to the complete simplified term, not merely to the most visible power in the denominator.

Nonpositive exponents

If \(p=0\), every term equals \(1\). If \(p<0\), then \(1/n^p=n^{-p}\) grows rather than decays. In both cases the terms fail the nth term test, so the series diverges.

Constant multiples and finite starting changes

For \(C\ne0\), multiplying by \(C\) does not change convergence:

\(\sum\frac{C}{n^p}\text{ has the same classification as }\sum\frac1{n^p}.\)

Beginning at \(n=5\) instead of \(n=1\) removes only finitely many terms, so the classification also remains unchanged.

Shifted powers are not literally \(p\)-series

A series such as \(\sum1/(n+3)^2\) is not in the exact form \(\sum1/n^p\), but reindexing removes finitely many initial reciprocal squares. It therefore has the same convergence behavior. More complicated expressions that merely resemble \(1/n^p\) require a comparison argument.

Harmonic versus alternating harmonic

The alternating harmonic series is

\(\sum_{n=1}^{\infty}\frac{(-1)^{n+1}}n=1-\frac12+\frac13-\frac14+\cdots.\)

It converges because of sign cancellation, even though the positive harmonic series diverges. It is not a positive \(p\)-series; its convergence is justified by the Alternating Series Test in Topic 10.7.

Remainder for a convergent \(p\)-series

When \(p>1\), the Integral Test remainder estimate gives

\(\frac{(N+1)^{1-p}}{p-1}\le R_N\le\frac{N^{1-p}}{p-1}.\)

This explains why a \(p\)-series with \(p\) only slightly above \(1\) converges very slowly.

Recognition checklist

  1. Perform the nth term test mentally.
  2. Rewrite all radicals and quotients using exponent laws.
  3. Identify the effective power \(p\).
  4. Apply the strict threshold \(p>1\).
  5. Check whether signs, shifts, or extra factors mean another test is actually required.
  6. State the named benchmark and its verified exponent.

6. Detailed Worked Example and Error Check

Example 1: The harmonic boundary

The series \(\sum1/n\) has \(p=1\). Since \(p\le1\), it diverges even though \(1/n\to0\).

Example 2: A convergent fractional power

For \(\sum1/n^{3/2}\), the exponent is \(p=3/2>1\). Therefore the series converges.

Example 3: A divergent fractional power

For \(\sum1/n^{2/3}\), \(p=2/3<1\). The terms approach zero, but the series diverges.

Example 4: A negative exponent

In \(\sum1/n^{-2}=\sum n^2\), the terms grow without bound. The series diverges by the nth term test, consistent with \(p=-2\le1\).

Example 5: Simplify a numerator radical

\(\frac{\sqrt n}{n}=\frac{n^{1/2}}{n^1}=\frac1{n^{1/2}}.\)

The effective exponent is \(p=1/2\), so the series diverges.

Example 6: Combine denominator powers

\(\frac1{n\sqrt[3]n}=\frac1{n^{1+1/3}}=\frac1{n^{4/3}}.\)

Since \(4/3>1\), the series converges.

Example 7: A constant multiple

The series \(\sum5/n^\pi\) converges because \(p=\pi>1\). The factor \(5\) changes the sum but not the convergence classification.

Example 8: A later starting index

The series \(\sum_{n=4}^{\infty}1/n^2\) converges because it is the \(p=2\) series with only its first three terms removed.

Example 9: A shifted denominator

For \(\sum_{n=1}^{\infty}1/(n+2)^2\), let \(k=n+2\). Then

\(\sum_{n=1}^{\infty}\frac1{(n+2)^2}=\sum_{k=3}^{\infty}\frac1{k^2},\)

a tail of the convergent \(p=2\) series.

Example 10: Bound the tail of a \(p\)-series

For \(\sum1/n^2\), after \(N=10\),

\(\frac1{11}\le R_{10}\le\frac1{10}.\)

The exact remainder is unknown here, but the integral bounds guarantee its size.

Common errors

  • Claiming every reciprocal series converges.
  • Using \(a_n\to0\) as proof of convergence.
  • Including \(p=1\) in the convergent case.
  • Reading \(p\) before simplifying radicals and powers.
  • Forgetting that a numerator power reduces the effective denominator exponent.
  • Treating a negative \(p\) as a small positive exponent.
  • Calling an alternating harmonic series a positive \(p\)-series.
  • Assuming a shifted or rational expression is literally a \(p\)-series without reindexing or comparison.
  • Believing that slow partial-sum growth implies convergence.
  • Using the \(p\)-series test to find an exact sum; it only classifies convergence.

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

Rewrite each term as needed and classify the series.
(a) \(\sum_{n=1}^{\infty}n^{-5/4}\).
(b) \(\sum_{n=1}^{\infty}1/n\).
(c) \(\sum_{n=1}^{\infty}\sqrt n/n^2\).
(d) \(\sum_{n=1}^{\infty}n^3/\sqrt{n^8}\).
(e) \(\sum_{n=1}^{\infty}1/(n^2\sqrt n)\).
(f) \(\sum_{n=1}^{\infty}\sqrt[3]n/n\).
(g) \(\sum_{n=1}^{\infty}7/n^{1.01}\).
(h) \(\sum_{n=1}^{\infty}1/n^0\).
(i) \(\sum_{n=10}^{\infty}1/n^3\).
(j) Classify \(\sum_{n=1}^{\infty}(-1)^{n+1}/n\) and explain why the positive \(p\)-series rule alone is not its justification.
(k) Give integral upper and lower bounds for the remainder after \(N=20\) of \(\sum1/n^2\).
(l) Use integral comparison to bound the harmonic partial sum \(H_{100}\) between two logarithmic expressions.

Check the solution

(a) \(p=5/4>1\), so the series converges.
(b) This is the harmonic series with \(p=1\), so it diverges.
(c) \(\sqrt n/n^2=1/n^{3/2}\). Since \(p=3/2>1\), it converges.
(d) Since \(\sqrt{n^8}=n^4\) for positive \(n\), the term is \(1/n\). The harmonic series diverges.
(e) \(1/(n^2\sqrt n)=1/n^{5/2}\), so it converges.
(f) \(\sqrt[3]n/n=1/n^{2/3}\), so it diverges.
(g) The constant \(7\) does not affect classification, and \(p=1.01>1\), so the series converges.
(h) Every term is \(1\), so the series diverges; equivalently \(p=0\le1\).
(i) Removing the first nine terms does not affect the \(p=3\) classification, so it converges.
(j) The alternating harmonic series converges by the Alternating Series Test. The positive \(p=1\) series of absolute values diverges, so this is conditional convergence.
(k) \(1/21\le R_{20}\le1/20\).
(l) For decreasing \(1/x\), \(\int_1^{101}dx/x\le H_{100}\le1+\int_1^{100}dx/x\). Hence \(\ln101\le H_{100}\le1+\ln100\).