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 10.4 · BC Only

Integral Test for Convergence

Relate a positive series to an improper integral of a continuous decreasing extension and use the same geometry to bound its remainder.

1. Topic Focus

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

This topic: Relate a positive series to an improper integral of a continuous decreasing extension and use the same geometry to bound its remainder.

2. Key Relationship

\(\sum_{n=N}^{\infty}f(n)\text{ and }\int_N^\infty f(x)\,dx\text{ share convergence}\)

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

Verify positivity, continuity, and eventual decrease before comparing rectangles with the area under the curve.

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. The Integral Test converts a question about infinitely many discrete terms into a question about the area under a related continuous curve. It determines convergence, and its rectangle comparison also yields useful error bounds.

Integral Test

Suppose \(a_n=f(n)\), and for all \(x\ge N_0\), the function \(f\) is positive, continuous, and decreasing. Then

\(\boxed{\sum_{n=N_0}^{\infty}a_n\text{ converges}\quad\Longleftrightarrow\quad\int_{N_0}^{\infty}f(x)\,dx\text{ converges}.}\)

If the improper integral diverges, the series diverges; if the integral converges, the series converges.

Why the test works

For a positive decreasing function, unit-width rectangles with heights \(f(n)\) can be compared with the area under \(y=f(x)\). The rectangles and the integral differ only by bounded edge pieces. Therefore one accumulation is finite exactly when the other is finite.

\(\int_{N_0}^{M+1}f(x)dx\le\sum_{n=N_0}^{M}f(n)\le f(N_0)+\int_{N_0}^{M}f(x)dx.\)

Verify every hypothesis

  • Positive: \(f(x)>0\) on the relevant tail.
  • Continuous: no undefined points or vertical asymptotes occur on that tail.
  • Decreasing: show \(f'(x)\le0\), compare values, or give another valid argument.
  • Matches the terms: confirm \(f(n)=a_n\) at integer inputs.

The conditions need only hold eventually. A finite number of exceptional starting terms cannot change convergence.

Evaluate the improper integral correctly

Replace infinity by a limit:

\(\int_{N_0}^{\infty}f(x)dx=\lim\limits_{b\to\infty}\int_{N_0}^{b}f(x)dx.\)

A finite limit means the integral converges. An infinite or nonexistent limit means it diverges.

The integral is not the series sum

The Integral Test establishes shared convergence behavior, not equality:

\(\sum_{n=N_0}^{\infty}f(n)\ne\int_{N_0}^{\infty}f(x)dx\quad\text{in general}.\)

The integral represents curved area; the series represents rectangle heights. Their difference is precisely what later bounds exploit.

Standard antiderivative patterns

  • \(\int x^{-p}dx\) connects to \(p\)-series.
  • \(\int dx/[x(\ln x)^p]\) uses \(u=\ln x\).
  • \(\int dx/(1+x^2)=\arctan x+C\).
  • Exponential decay such as \(e^{-x}\) usually gives a finite improper integral.

The logarithmic boundary family

For \(n\ge2\), consider

\(\sum\frac1{n(\ln n)^p}.\)

With \(u=\ln x\),

\(\int_2^\infty\frac{dx}{x(\ln x)^p}=\int_{\ln2}^{\infty}u^{-p}du.\)

Thus the series converges when \(p>1\) and diverges when \(p\le1\).

When the Integral Test is a poor choice

Do not force this test onto alternating or sign-changing terms, a discontinuous extension, or a function whose improper integral is harder than the original series. Another test may be more natural even if some continuous extension exists.

Remainder estimate

Suppose the positive series converges and \(f\) satisfies the Integral Test hypotheses. If

\(S_N=\sum_{n=N_0}^{N}a_n,\qquad R_N=S-S_N=\sum_{n=N+1}^{\infty}a_n,\)

then the decreasing-rectangle geometry gives

\(\boxed{\int_{N+1}^{\infty}f(x)dx\le R_N\le\int_N^\infty f(x)dx.}\)

Bounds for the unknown sum

Add \(S_N\) to the remainder bounds:

\(S_N+\int_{N+1}^{\infty}f(x)dx\le S\le S_N+\int_N^\infty f(x)dx.\)

This produces a guaranteed interval for the series sum without knowing its exact value.

Choose enough terms for a tolerance

To guarantee \(|R_N|<\varepsilon\), it is sufficient to solve

\(\int_N^\infty f(x)dx<\varepsilon\)

and round \(N\) upward as required. Check strict versus non-strict inequalities at the final integer.

Integral-Test checklist

  1. Perform the nth term test first.
  2. Define a natural continuous function \(f(x)\) with \(f(n)=a_n\).
  3. Verify positivity, continuity, and decrease on an appropriate tail.
  4. Write the improper integral with a finite upper limit \(b\).
  5. Evaluate its limit and state the matching series conclusion.
  6. If estimating, distinguish \(S_N\), \(R_N\), the integral bounds, and the true sum \(S\).

6. Detailed Worked Example and Error Check

Example 1: A convergent logarithmic series

For \(n\ge2\), let \(f(x)=1/[x(\ln x)^2]\). It is positive and continuous, and

\(f'(x)=-\frac{\ln x+2}{x^2(\ln x)^3}<0\quad(x\ge2).\)

Using \(u=\ln x\),

\(\int_2^\infty\frac{dx}{x(\ln x)^2}=\left[-\frac1{\ln x}\right]_2^\infty=\frac1{\ln2}.\)

The integral converges, so the series converges. The value \(1/\ln2\) is the integral value, not the series sum.

Example 2: The logarithmic boundary diverges

For \(f(x)=1/(x\ln x)\), positive, continuous, and decreasing for \(x\ge2\),

\(\int_2^\infty\frac{dx}{x\ln x}=\lim\limits_{b\to\infty}[\ln(\ln x)]_2^b=\infty.\)

Therefore \(\sum_{n=2}^{\infty}1/(n\ln n)\) diverges.

Example 3: A convergent power

For \(f(x)=x^{-3/2}\),

\(\int_1^\infty x^{-3/2}dx=\lim\limits_{b\to\infty}\left[-2x^{-1/2}\right]_1^b=2.\)

The series \(\sum1/n^{3/2}\) converges. Its sum is not asserted to equal \(2\).

Example 4: A divergent power

For \(f(x)=x^{-1/2}\),

\(\int_1^\infty x^{-1/2}dx=\lim\limits_{b\to\infty}2(\sqrt b-1)=\infty.\)

Thus \(\sum1/\sqrt n\) diverges.

Example 5: Classify an entire logarithmic family

For \(\sum_{n=2}^{\infty}1/[n(\ln n)^p]\), substitute \(u=\ln x\). The corresponding integral becomes \(\int_{\ln2}^{\infty}u^{-p}du\). Therefore the series converges for \(p>1\) and diverges for \(p\le1\).

Example 6: An inverse-trigonometric integral

Let \(a_n=1/(n^2+1)\). The extension \(f(x)=1/(x^2+1)\) is positive, continuous, and decreasing for \(x\ge1\):

\(\int_1^\infty\frac{dx}{x^2+1}=\left[\arctan x\right]_1^\infty=\frac{\pi}{4}.\)

The series converges.

Example 7: Exponential decay

For \(a_n=e^{-n}\), use \(f(x)=e^{-x}\):

\(\int_1^\infty e^{-x}dx=e^{-1}.\)

The Integral Test proves convergence, although recognizing the series as geometric is faster.

Example 8: Eventually decreasing is enough

For \(a_n=n/e^n\), take \(f(x)=xe^{-x}\). Since

\(f'(x)=e^{-x}(1-x)<0\quad(x>1),\)

the function is decreasing on the relevant tail, and

\(\int_1^\infty xe^{-x}dx=\frac2e.\)

Thus \(\sum n/e^n\) converges.

Example 9: Bound a remainder

For \(\sum1/n^3\), after \(N=10\),

\(\frac1{2(11)^2}=\int_{11}^{\infty}x^{-3}dx\le R_{10}\le\int_{10}^{\infty}x^{-3}dx=\frac1{200}.\)

Therefore \(S_{10}\) underestimates the sum by at most \(0.005\).

Example 10: Choose \(N\) for a required error

To approximate \(\sum1/n^3\) with error less than \(0.001\), require

\(\frac1{2N^2}<0.001\quad\Longrightarrow\quad N>\sqrt{500}\approx22.36.\)

The least integer guaranteed by this upper bound is \(N=23\).

Common errors

  • Failing to verify positivity, continuity, or decrease.
  • Claiming the series equals the improper integral.
  • Evaluating an improper integral without writing a limit.
  • Using a divergent antiderivative expression as though it were a finite number.
  • Applying the test to sign-changing terms without modification or justification.
  • Requiring conditions from the first term when they hold on a later tail.
  • Forgetting the substitution \(u=\ln x\) in logarithmic families.
  • Reversing the \(N\) and \(N+1\) remainder bounds.
  • Using an integral bound for a series not yet shown to converge.
  • Rounding \(N\) down when an error guarantee requires rounding up.

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 the Integral Test or its remainder estimate, verifying all required conditions.
(a) Determine the convergence of \(\sum_{n=2}^{\infty}1/[n(\ln n)^3]\).
(b) Determine the convergence of \(\sum_{n=2}^{\infty}1/(n\ln n)\).
(c) Determine the convergence of \(\sum_{n=1}^{\infty}1/(n+1)^2\).
(d) Determine the convergence of \(\sum_{n=2}^{\infty}n/(n^2+1)\).
(e) Determine the convergence of \(\sum_{n=1}^{\infty}e^{-\sqrt n}\).
(f) Determine the convergence of \(\sum_{n=3}^{\infty}1/[n\ln n\ln(\ln n)]\).
(g) Explain why \(f(x)=2+\sin x\) does not satisfy the Integral Test hypotheses for \(\sum(2+\sin n)\), and classify the series another way.
(h) For \(\sum1/n^2\), give upper and lower integral bounds for \(R_N\).
(i) Find the least integer \(N\) guaranteed by the integral upper bound to make the error in \(S_N\) for \(\sum1/n^2\) less than \(0.01\).
(j) Compute \(S_5\) for \(\sum1/n^2\) and give an interval guaranteed to contain the total sum.
(k) Explain why \(\int_1^\infty x^{-2}dx=1\) does not mean \(\sum1/n^2=1\).
(l) Suppose a natural extension is not decreasing until \(x=10\), but is positive, continuous, and decreasing afterward. Explain whether the Integral Test can still be used.

Check the solution

(a) With \(u=\ln x\), the integral becomes \(\int_{\ln2}^{\infty}u^{-3}du\), which converges. The series converges.
(b) \(\int_2^\infty dx/(x\ln x)=\lim\limits_{b\to\infty}[\ln(\ln x)]_2^b=\infty\), so the series diverges.
(c) \(f(x)=1/(x+1)^2\) is positive, continuous, and decreasing, and \(\int_1^\infty dx/(x+1)^2=1/2\). The series converges.
(d) \(f(x)=x/(x^2+1)\) is positive and eventually decreasing. Since \(\int_2^\infty x/(x^2+1)dx=\tfrac12\lim\limits_{b\to\infty}\ln(b^2+1)-\tfrac12\ln5=\infty\), the series diverges.
(e) The extension \(f(x)=e^{-\sqrt x}\) is positive, continuous, and decreasing. Let \(u=\sqrt x\), so \(dx=2u\,du\); \(\int_1^\infty e^{-\sqrt x}dx=2\int_1^\infty ue^{-u}du\), which is finite. The series converges.
(f) Let \(u=\ln(\ln x)\), so \(du=dx/[x\ln x]\). The integral becomes \(\int_{\ln(\ln3)}^\infty du/u\), which diverges. Therefore the series diverges.
(g) The extension is not decreasing and the terms satisfy \(2+\sin n\ge1\), so they do not approach zero. The series diverges by the nth term test.
(h) \(\int_{N+1}^\infty x^{-2}dx=1/(N+1)\le R_N\le\int_N^\infty x^{-2}dx=1/N\).
(i) Require \(1/N<0.01\), so \(N>100\). The least guaranteed integer is \(101\).
(j) \(S_5=1+1/4+1/9+1/16+1/25\approx1.46361\). Hence \(S_5+1/6\le S\le S_5+1/5\), or approximately \(1.63028\le S\le1.66361\).
(k) The integral and series share convergence behavior but represent different accumulations. The series sum is \(\pi^2/6\), not \(1\).
(l) Yes. Apply the Integral Test to the tail beginning at \(n=10\); the finitely many earlier terms do not affect convergence.