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 5.1

Using the Mean Value Theorem

Verify continuity and differentiability to guarantee an instantaneous slope equal to an average slope.

1. Topic Focus

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

This topic: Verify continuity and differentiability to guarantee an instantaneous slope equal to an average slope.

2. Key Relationship

\(f'(c)=\frac{f(b)-f(a)}{b-a}\)

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

3. Visual Connection

acbsecant slopetangent slopeaverage rate = instantaneous rate
Secant slope equals tangent slopeContinuity on the closed interval and differentiability inside it guarantee at least one interior tangent parallel to the endpoint secant.

4. Worked Example

For f(x)=x² on [1,3], MVT gives c=2.

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

5. Concept Development

1. Mean Value Theorem statement

If \(f\) is continuous on the closed interval \([a,b]\) and differentiable on the open interval \((a,b)\), then at least one number \(c\in(a,b)\) satisfies

\(\boxed{f'(c)=\frac{f(b)-f(a)}{b-a}}.\)

The right side is the average rate of change over the whole interval. The left side is an instantaneous rate at an interior input.

2. Geometric meaning

The endpoint quotient is the slope of the secant line through \((a,f(a))\) and \((b,f(b))\). The theorem guarantees at least one interior tangent line parallel to that secant line.

3. Why both hypotheses matter

Continuity on \([a,b]\) prevents breaks, holes, and jumps across the interval. Differentiability on \((a,b)\) prevents interior corners, cusps, vertical tangents, and other points where a finite derivative is unavailable. Endpoints need continuity but do not need two-sided derivatives.

4. A complete solution workflow

  1. State why \(f\) is continuous on \([a,b]\).
  2. State why \(f\) is differentiable on \((a,b)\).
  3. Compute the average slope \(m=(f(b)-f(a))/(b-a)\).
  4. Solve \(f'(c)=m\).
  5. Keep only solutions in the open interval \((a,b)\).

5. Existence does not mean uniqueness

The theorem guarantees at least one value of \(c\). A function may have one, several, or infinitely many points whose tangent slope equals the secant slope. Solving the derivative equation finds all candidates; the theorem alone does not locate them.

6. Rolle's Theorem

When \(f(a)=f(b)\), the secant slope is zero. The Mean Value Theorem becomes Rolle's Theorem:

\(f(a)=f(b)\quad\Longrightarrow\quad f'(c)=0\text{ for at least one }c\in(a,b).\)

Its geometric conclusion is an interior horizontal tangent.

7. A theorem can fail to apply without proving the conclusion false

If a hypothesis fails, the correct statement is that the theorem provides no guarantee. An appropriate \(c\) might still exist by coincidence. To disprove a claimed application, identify the failed hypothesis; to disprove the conclusion, also show that no suitable \(c\) exists.

8. Motion interpretation

For a differentiable position function \(s(t)\),

\(\frac{s(b)-s(a)}{b-a}\)

is average velocity, while \(s'(c)\) is instantaneous velocity. The theorem says that during the trip, the instantaneous velocity equals the trip's average velocity at least once. It does not claim that the equality occurs at the midpoint in time.

9. Using endpoint data from tables

An explicit formula is unnecessary for the existence conclusion. If continuity and differentiability are given and a table provides \(f(a)\) and \(f(b)\), those endpoint values determine the guaranteed derivative value. A formula for \(f'\) is needed only when the problem asks for the actual input \(c\).

10. Bounding total change with derivative bounds

If \(m\le f'(x)\le M\) throughout \((a,b)\), the Mean Value Theorem gives

\(m(b-a)\le f(b)-f(a)\le M(b-a).\)

This converts bounds on every instantaneous rate into bounds on the total change.

11. Important consequences

If \(f'(x)=0\) throughout an interval, then \(f\) is constant there. More generally, if \(f'(x)=g'(x)\) throughout an interval, then \(f(x)-g(x)\) is constant. These conclusions follow by applying the theorem between any two inputs in the interval.

12. Proof idea through Rolle's Theorem

Subtract the endpoint secant line from \(f\):

\(h(x)=f(x)-\left[f(a)+\frac{f(b)-f(a)}{b-a}(x-a)\right].\)

Then \(h(a)=h(b)=0\). Rolle's Theorem guarantees \(h'(c)=0\), which rearranges to the Mean Value Theorem equation.

13. Common errors

  • Checking differentiability but forgetting continuity on the closed interval.
  • Using endpoint derivatives instead of endpoint function values in the average slope.
  • Claiming that \(c=(a+b)/2\) without solving the derivative equation.
  • Keeping a solution equal to an endpoint even though \(c\) must lie in \((a,b)\).
  • Claiming a unique \(c\) when the theorem guarantees only existence.
  • Confusing this theorem with the Mean Value Theorem for Integrals.

6. Detailed Worked Example and Error Check

Example 1: A polynomial. Apply the theorem to \(f(x)=x^2\) on \([1,4]\). A polynomial is continuous and differentiable everywhere, so both hypotheses hold.

\(m=\frac{f(4)-f(1)}{4-1}=\frac{16-1}{3}=5,\qquad f'(c)=2c.\)

Solving \(2c=5\) gives \(\boxed{c=5/2}\), which lies in \((1,4)\).

Example 2: Rolle's Theorem with multiple points. For \(f(x)=\sin x\) on \([0,2\pi]\), continuity and differentiability hold and \(f(0)=f(2\pi)=0\).

\(f'(c)=\cos c=0.\)

The interior solutions are \(\boxed{c=\pi/2}\) and \(\boxed{c=3\pi/2}\). The theorem guarantees at least one; solving identifies both.

Example 3: A rational function. Apply the theorem to \(f(x)=1/x\) on \([1,4]\). The interval contains no zero, so \(f\) is continuous on \([1,4]\) and differentiable on \((1,4)\).

\(m=\frac{1/4-1}{4-1}=-\frac14,\qquad f'(c)=-\frac1{c^2}.\)

Solving \(-1/c^2=-1/4\) gives \(c=\pm2\), but only \(\boxed{c=2}\) belongs to \((1,4)\).

Example 4: A failed hypothesis. Let \(f(x)=|x|\) on \([-1,1]\). The function is continuous and has equal endpoint values, but it is not differentiable at \(x=0\). Moreover, \(f'(x)=-1\) for \(x<0\) and \(f'(x)=1\) for \(x>0\), so no interior point has derivative zero. This shows why differentiability is essential.

Example 5: Motion. A vehicle's differentiable position satisfies \(s(2)=12\) meters and \(s(7)=52\) meters. Its average velocity is

\(\frac{52-12}{7-2}=8\text{ m/s}.\)

If \(s\) is continuous on \([2,7]\) and differentiable on \((2,7)\), some \(c\in(2,7)\) satisfies \(\boxed{s'(c)=8\text{ m/s}}\).

Example 6: Endpoint data only. Suppose \(f\) is continuous on \([1,5]\), differentiable on \((1,5)\), \(f(1)=3\), and \(f(5)=19\). Then

\(\frac{f(5)-f(1)}{5-1}=\frac{16}{4}=4.\)

Therefore some \(c\in(1,5)\) satisfies \(\boxed{f'(c)=4}\), even though the exact value of \(c\) cannot be found from the endpoint data alone.

Example 7: Bounding change. Suppose \(2\le f'(x)\le5\) for \(1

\(f(4)-f(1)=f'(c)(4-1).\)

Thus \(6\le f(4)-7\le15\), so \(\boxed{13\le f(4)\le22}\).

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

For each application, explicitly address the hypotheses and the open-interval requirement.
(a) Apply the Mean Value Theorem to \(f(x)=x^3\) on \([0,2]\) and find every valid \(c\).
(b) Use Rolle's Theorem for \(f(x)=x+4/x\) on \([1,4]\).
(c) Apply the Mean Value Theorem to \(f(x)=\sqrt{x}\) on \([1,9]\).
(d) Find every Rolle point for \(f(x)=\sin x\) on \([0,2\pi]\).
(e) Explain why the theorem does not guarantee a Rolle point for \(f(x)=|x-2|\) on \([1,3]\), and determine whether such a point exists.
(f) Define \(f(x)=x\) for \(x<0\) and \(f(x)=x+1\) for \(x\ge0\). On \([-1,1]\), identify the failed hypothesis and show that the Mean Value Theorem conclusion does not hold.
(g) A differentiable position function records a 120-mile displacement over 2 hours. State the instantaneous-velocity conclusion supplied by the theorem.
(h) A function is continuous on \([2,8]\), differentiable on \((2,8)\), and satisfies \(f(2)=-5\), \(f(8)=13\). What derivative value must occur? Can the corresponding input be determined?
(i) If \(-3\le f'(x)\le4\) on \((2,7)\) and \(f(2)=10\), find bounds for \(f(7)\).
(j) Explain how the Mean Value Theorem proves that differentiable functions with equal derivatives on an interval differ by a constant.

Check the solution

In part (a), a polynomial satisfies both hypotheses. The average slope is \((8-0)/2=4\), so \(3c^2=4\). Only \(\boxed{c=2/\sqrt3}\) lies in \((0,2)\). In part (b), the function is continuous on \([1,4]\), differentiable on \((1,4)\), and has \(f(1)=f(4)=5\). Since \(f'(c)=1-4/c^2=0\), \(\boxed{c=2}\). In part (c), the square-root function satisfies both hypotheses on the stated positive interval. The average slope is \((3-1)/8=1/4\). Solving \(1/(2\sqrt c)=1/4\) gives \(\boxed{c=4}\). In part (d), \(\cos c=0\) gives \(\boxed{c=\pi/2,\ 3\pi/2}\). In part (e), the function is not differentiable at \(x=2\). Its derivative is \(-1\) to the left and \(1\) to the right, so no interior point has derivative zero. In part (f), the function jumps at \(x=0\), so continuity fails. Its endpoint average slope is \((2-(-1))/2=3/2\), while its derivative is 1 wherever it exists; no required \(c\) exists. In part (g), assuming the position is continuous on the closed time interval and differentiable inside it, some time during the trip has instantaneous velocity \(\boxed{60\text{ mph}}\). In part (h), the average slope is \((13-(-5))/(8-2)=\boxed{3}\), so \(f'(c)=3\) for some \(c\in(2,8)\). Endpoint data alone cannot locate \(c\). In part (i), the interval width is 5, so \(-15\le f(7)-f(2)\le20\). Therefore \(\boxed{-5\le f(7)\le30}\). In part (j), let \(h=f-g\). Then \(h'=f'-g'=0\). Applying the theorem between any two inputs gives zero average change in \(h\), so \(h\) is constant and \(f=g+C\).