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 5.12

Exploring Behaviors of Implicit Relations

Analyze tangent behavior and extrema on curves not globally defined as one function of x.

1. Topic Focus

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

This topic: Analyze tangent behavior and extrema on curves not globally defined as one function of x.

2. Key Relationship

\(\frac{dy}{dx}=-\frac{F_x}{F_y}\)

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

3. Visual Connection

y' > 0y' < 0y' < 0y' > 0top branchconcave downbottom branchconcave uppoints matter
Analyze each branch of an implicit relationDerivative signs classify increasing and decreasing behavior, while the second derivative distinguishes the concavity of the upper and lower branches.

4. Worked Example

On x²+y²=25, horizontal tangents occur where x=0 and y is nonzero.

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

5. Concept Development

Relations can have several branches

An equation \(F(x,y)=0\) may describe several local functions of \(x\) even when the entire relation fails the vertical line test. For example, a circle contains an upper and a lower branch. Derivative conclusions must therefore identify both the point and the branch being analyzed.

Verify that a point belongs to the relation

Every tangent, critical-point, or extrema candidate must satisfy the original equation. A value obtained from the derivative condition alone is only a coordinate candidate; substitute it back into \(F(x,y)=0\) to find all corresponding ordered pairs.

Differentiate implicitly

Differentiate both sides with respect to \(x\). Because \(y\) depends locally on \(x\), each derivative of a \(y\)-expression requires the chain rule:

\(\frac{d}{dx}(y^n)=ny^{n-1}y',\qquad \frac{d}{dx}(xy)=y+xy'.\)

Collect every term containing \(y'\), factor it, and then solve for \(y'\).

The partial-derivative structure

For a differentiable relation \(F(x,y)=0\), implicit differentiation has the compact form

\(F_x+F_y\frac{dy}{dx}=0\quad\Rightarrow\quad \frac{dy}{dx}=-\frac{F_x}{F_y},\qquad F_y\ne0.\)

This formula explains why the denominator controls whether the relation can locally be viewed as a differentiable function \(y(x)\).

Critical points are ordered pairs

In this topic, a point on an implicit relation is critical when \(dy/dx=0\) or \(dy/dx\) does not exist. Report \((x,y)\), not merely an \(x\)-value, because one input may correspond to several branches with different behavior.

Horizontal tangents

If \(y'=N(x,y)/D(x,y)\), a horizontal tangent normally requires

\(N(x,y)=0,\qquad D(x,y)\ne0,\qquad F(x,y)=0.\)

The tangent line at \((a,b)\) is then \(y=b\). Solving only the numerator condition does not locate the complete point.

Vertical tangents and undefined slopes

A vertical tangent normally occurs when \(D=0\), \(N\ne0\), and the point lies on the relation. Its equation is \(x=a\). If both numerator and denominator are zero, the quotient alone is inconclusive; the point may have multiple tangents, a cusp, or another singular behavior.

Increasing and decreasing behavior

On any branch that is locally a function of \(x\), \(y'>0\) means the branch increases from left to right and \(y'<0\) means it decreases. Split the branch at critical points, vertical tangencies, and other domain breaks, then determine the derivative sign on each piece.

Use sign changes to justify local extrema

A horizontal critical point is a local maximum when \(y'\) changes from positive to negative and a local minimum when it changes from negative to positive. No sign change means there is no local extremum. Name the relevant local branch in the conclusion.

Find the second derivative implicitly

Differentiate the equation for \(y'\) again with respect to \(x\), treating every occurrence of \(y\) as a function. The resulting \(y''\) may legitimately depend on \(x\), \(y\), and \(y'\). Substitute the first-derivative formula or the coordinates only after differentiating correctly.

Concavity is also branch-specific

Where \(y''>0\), the local branch is concave up; where \(y''<0\), it is concave down. A candidate inflection point must lie on the relation and must have an actual change in concavity. The condition \(y''=0\) alone is not sufficient.

A reliable AP analysis routine

First verify the relation and compute \(y'\). Next solve the derivative conditions together with the original equation. Then use signs of \(y'\) or \(y''\) to justify behavior. Finish with precise language such as “the upper branch has a local maximum at \((0,2)\) because \(y'\) changes from positive to negative.”

Common errors

Frequent errors include omitting \(y'\) after differentiating a \(y\)-term, forgetting the product rule on \(xy\), reporting only one coordinate, calling every undefined derivative a vertical tangent, dividing by an expression before checking when it is zero, and claiming an extremum or inflection point without a sign-change justification.

6. Detailed Worked Example and Error Check

Example 1: Tangent line to a circle. For \(x^2+y^2=25\),

\(2x+2yy'=0\quad\Rightarrow\quad y'=-\frac{x}{y}.\)

At \((3,4)\), the slope is \(-3/4\). The tangent line is

\(y-4=-\frac34(x-3).\)

The point was checked in the relation: \(3^2+4^2=25\).

Example 2: Complete behavior of an ellipse. On \(x^2+4y^2=16\),

\(y'=-\frac{x}{4y}.\)

Horizontal tangents occur at \((0,\pm2)\); vertical tangents occur at \((\pm4,0)\). On the upper branch \(y>0\), the derivative is positive for \(-4<x<0\) and negative for \(0<x<4\), so \((0,2)\) is a local maximum. On the lower branch, the signs reverse, so \((0,-2)\) is a local minimum.

Example 3: Product-rule relation. For \(x^2+xy+y^2=7\),

\(2x+y+xy'+2yy'=0\quad\Rightarrow\quad y'=-\frac{2x+y}{x+2y}.\)

Horizontal tangents require \(y=-2x\). Substitution into the relation gives \(3x^2=7\), so the points are \((\pm\sqrt{7/3},\mp2\sqrt{7/3})\). Vertical tangents require \(x=-2y\), giving \((\mp2\sqrt{7/3},\pm\sqrt{7/3})\). At each set, the other part of the quotient is nonzero.

Example 4: Classifying several horizontal critical points. Consider

\(x^2+y^3=3y,\qquad y'=-\frac{2x}{3y^2-3}.\)

Horizontal candidates have \(x=0\). The relation then gives \(y=0,\pm\sqrt3\). Differentiating again and using \(x=0\) and \(y'=0\) gives

\(y''=-\frac{2}{3y^2-3}.\)

Thus \(y''=2/3>0\) at \((0,0)\), making it a local minimum of its branch. At \((0,\pm\sqrt3)\), \(y''=-1/3<0\), so each is a local maximum of its local branch.

Example 5: Concavity of circle branches. Starting with \(y'=-x/y\), differentiate again:

\(y''=-\frac{y-xy'}{y^2}=-\frac{x^2+y^2}{y^3}=-\frac{25}{y^3}.\)

The upper semicircle has \(y>0\), so \(y''<0\) and is concave down. The lower semicircle has \(y<0\), so \(y''>0\) and is concave up. At \((3,4)\), \(y''=-25/64\).

Example 6: A relation with no horizontal tangent. On the first-quadrant branch of \(xy=12\),

\(y'=-\frac{y}{x}<0,\qquad y''=\frac{2y}{x^2}>0.\)

The branch is decreasing and concave up for every \(x>0\). Its derivative never equals zero, so it has no horizontal tangent or local extremum on that branch.

Example 7: Why \(0/0\) is inconclusive. For \(y^2=x^2(x+1)\),

\(2yy'=3x^2+2x\quad\Rightarrow\quad y'=\frac{3x^2+2x}{2y}.\)

At \((0,0)\), this formula gives \(0/0\), so it cannot identify a vertical tangent. Near the origin the two branches are \(y=\pm x\sqrt{x+1}\), whose slopes at \(x=0\) are \(1\) and \(-1\). The singular point has two tangent lines, \(y=x\) and \(y=-x\).

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

Analyze each implicit relation and justify your conclusions.
(a) Find all horizontal and vertical tangent points on \(x^2+9y^2=36\).
(b) Find the tangent line to \(x^2+y^2=25\) at \((-3,4)\).
(c) Find all horizontal and vertical tangent points on \(x^2+xy+y^2=3\).
(d) Determine where the upper branch of \(x^2+4y^2=16\) increases and decreases, and classify its horizontal critical point.
(e) Determine the concavity of the upper and lower branches of \(x^2+4y^2=16\).
(f) Classify the horizontal critical points of \(x^2+y^3=3y\).
(g) Find \(y''\) for \(x^2+y^2=25\) and evaluate it at \((3,4)\).
(h) Describe the monotonicity and concavity of the first-quadrant branch of \(xy=12\).
(i) For \(y'=N/D\), state the conditions that normally establish a horizontal tangent and a vertical tangent.
(j) Explain why \(N=D=0\) does not by itself establish a vertical tangent.

Check the solution

(a) \(y'=-x/(9y)\). Horizontal tangents occur at \((0,\pm2)\); vertical tangents occur at \((\pm6,0)\).
(b) Since \(y'=-x/y\), the slope at \((-3,4)\) is \(3/4\). The line is \(y-4=(3/4)(x+3)\).
(c) \(y'=-(2x+y)/(x+2y)\). Setting the numerator to zero gives \((1,-2)\) and \((-1,2)\), the horizontal tangent points. Setting the denominator to zero gives \((-2,1)\) and \((2,-1)\), the vertical tangent points.
(d) On the upper branch, \(y'=-x/(4y)\). It is positive on \((-4,0)\) and negative on \((0,4)\); therefore the branch increases and then decreases, giving a local and absolute maximum at \((0,2)\).
(e) Differentiating \(y'=-x/(4y)\) and using \(x^2+4y^2=16\) gives \(y''=-1/y^3\). Thus the upper branch is concave down and the lower branch is concave up.
(f) The horizontal points are \((0,0)\) and \((0,\pm\sqrt3)\). The Second Derivative Test gives a local minimum at \((0,0)\) and local maxima at \((0,\pm\sqrt3)\), each on its own local branch.
(g) \(y''=-25/y^3\), so \(y''(3,4)=-25/64\).
(h) Since \(y'=-y/x<0\) and \(y''=2y/x^2>0\) in the first quadrant, the branch is decreasing and concave up.
(i) A horizontal tangent normally requires \(N=0\), \(D\ne0\), and a point on the relation. A vertical tangent normally requires \(D=0\), \(N\ne0\), and a point on the relation.
(j) The quotient is indeterminate at such a point. The relation may have multiple tangents, a cusp, or other singular behavior, so the original equation or a local parametrization must be examined.