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AP Calculus AB
review & study guide

Free unit-by-unit notes: the key points of every chapter in the course.
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This AP Calculus AB review covers all 8 units, chapter by chapter: the key points of 54 chapters of Achievable's AP Calculus AB course. Read a unit before its test, or work through the whole guide before exam day.

Each chapter links to the full lesson in Achievable, where the review quizzes and full-length practice exams are.

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Unit 1: Limits

Tables and graphs

  1. A limit describes a trend: what value a function approaches as xx approaches a number, not necessarily what its value is at that point.
  2. f(a)f(a) does not need to be defined for the limit as xx approaches aa to exist.
  3. Creating a table and/or observing the graph can be helpful for estimating limits.
  4. A limit exists only if both one-sided limits exist and match.
Read the full chapter free

Analytical limits

Direct substitution

Direct substitution

  • Simplest method: plug x=ax = a directly into f(x)f(x)
  • If result is a finite number, that is the limit
  • Always try this first

Limit laws

  • Break complex limits into smaller parts evaluated individually
  • Key properties (given limxaf(x)=L\lim_{x\to a} f(x) = L, limxag(x)=M\lim_{x\to a} g(x) = M):
    • Constant multiple: lim[cf(x)]=cL\lim[c \cdot f(x)] = c \cdot L
    • Sum/difference: lim[f(x)±g(x)]=L±M\lim[f(x) \pm g(x)] = L \pm M
    • Product: lim[f(x)g(x)]=LM\lim[f(x) \cdot g(x)] = L \cdot M
    • Quotient: limf(x)g(x)=LM\lim\frac{f(x)}{g(x)} = \frac{L}{M}, where M0M \neq 0
    • Power: lim[f(x)]n=Ln\lim[f(x)]^n = L^n (also applies to roots, e.g., n=12n = \frac{1}{2})

Graphical interpretation

  • Read limit values of f(x)f(x) and g(x)g(x) directly from graphs
  • Apply limit laws using those values to evaluate combined expressions
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Composite functions

Composite functions

  • Form: f(g(x))f(g(x)) or (fg)(x)(f \circ g)(x) — a function inside another function
  • Limit rule: limxaf(g(x))=f ⁣(limxag(x))=f(L)\lim_{x \to a} f(g(x)) = f\!\left(\lim_{x \to a} g(x)\right) = f(L)
    • Requires f(x)f(x) to be continuous at x=Lx = L

Steps to evaluate composite limits

  • Step 1: Find the limit of the inner function
  • Step 2: Plug that result into the outer function

When the standard rule fails

  • If limxag(x)\lim_{x \to a} g(x) puts values outside the domain of ff → limit DNE
  • If ff is discontinuous at LL, substituting f(L)f(L) is not valid — must analyze one-sided behavior instead

One-sided analysis for tricky cases

  • Determine whether the inner function approaches LL from above or below
  • Use the corresponding one-sided limit of the outer function
  • If left- and right-hand composite limits differ → overall limit DNE
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Algebraic limits

Indeterminate forms

Indeterminate forms

  • Expressions like 00\frac{0}{0}, 0×0 \times \infty, 11^\infty, etc.
  • 7 main types to recognize
  • Require algebraic manipulation before evaluating limits

Factoring

  • Factor numerator and denominator to cancel problematic terms
  • Use formulas:
    • Difference of squares: a2b2=(ab)(a+b)a^2 - b^2 = (a-b)(a+b)
    • Sum of cubes: a3+b3=(a+b)(a2ab+b2)a^3 + b^3 = (a+b)(a^2-ab+b^2)
  • Always keep limit notation until substitution

Rationalizing

  • Multiply by conjugate to eliminate square roots
  • Conjugate: same terms, opposite sign (e.g., a+ba+b and aba-b)
  • Use difference of squares to simplify and cancel terms

Common denominators

  • Combine fractions using a common denominator
  • Multiply numerator and denominator by the common denominator to simplify
  • Cancel terms to resolve indeterminate forms

General strategies

  • Always try direct substitution first
  • If indeterminate, apply algebraic techniques before substituting again
  • Keep limit notation until final substitution step
Read the full chapter free

Absolute value functions

Piecewise-defined functions

  • Use different formulas for different xx intervals
  • At breakpoints, evaluate one-sided limits
  • Limit exists at breakpoint only if left- and right-hand limits are equal

Evaluating limits for piecewise functions

  • At breakpoints, check both one-sided limits:
    • If unequal: limit does not exist (DNE)
    • If equal: limit equals common value
  • Away from breakpoints, use the formula for that interval

Absolute value functions and limits

  • Rewrite x|x| as piecewise:
    • xx if x0x \ge 0
    • x-x if x<0x < 0
  • For ax|a - x|, breakpoint at x=ax = a; split intervals at x=ax = a

Limits involving absolute value expressions

  • Direct substitution may give 00\frac{0}{0} (indeterminate)
  • Rewrite absolute value as piecewise, then evaluate one-sided limits
    • If one-sided limits differ: limit does not exist
    • If one-sided limits match: limit equals that value
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Limits and infinity

Vertical asymptotes

Infinite limits

  • Function grows without bound as x approaches a finite value → vertical asymptote at x = a
  • "Constant over zero" (c/0, c ≠ 0): not indeterminate, indicates vertical asymptote
  • Evaluate one-sided limits by testing values close to a from the appropriate direction

Vertical asymptotes vs. removable discontinuities

  • Vertical asymptote: direct substitution gives c/0 (c ≠ 0) → limit does not exist
  • Removable discontinuity (hole): direct substitution gives 0/0, but a common factor cancels and the limit exists as a finite value
  • 0/0 alone is insufficient — must factor to determine which type of discontinuity

Identifying asymptotes in rational functions

  • Set denominator = 0 to find candidate x-values
  • Test each candidate: factor and simplify to check if discontinuity is a hole or asymptote
  • After canceling, if the simplified expression still gives c/0, a vertical asymptote remains
Read the full chapter in the course

Horizontal asymptotes

Limits at infinity & horizontal asymptotes

  • Describe end behavior as x±x \to \pm\infty
  • Horizontal asymptote: limx±f(x)=L    y=L\lim_{x \to \pm\infty} f(x) = L \implies y=L
  • Dominant term analysis: compare highest degree terms in numerator & denominator

Dominant term analysis for rational functions

  • Degree numerator << degree denominator: limit =0= 0 (asymptote y=0y=0)
  • Degree numerator == degree denominator: limit == ratio of leading coefficients
  • Degree numerator >> degree denominator: limit ±\to \pm\infty (no horizontal asymptote)

Algebraic method for limits at infinity

  • Divide all terms by highest power of xx in denominator
  • Simplify and analyze behavior as x±x \to \pm\infty
  • Useful for determining sign and value in case 3

Square roots in limits at infinity

  • Factor out highest power of xx inside the radical
  • x2=x\sqrt{x^2} = |x|; use x=x|x|=x for xx\to\infty, x=x|x|=-x for xx\to-\infty
  • Simplify and evaluate after factoring

Special techniques for indeterminate forms

  • For \infty-\infty with radicals: multiply by conjugate to convert to rational form
  • Factor and cancel highest powers, then take limit

Key examples

  • Rational function with degree numerator << denominator: limit =0=0
  • Rational function with equal degrees: limit == ratio of leading coefficients
  • Rational function with degree numerator >> denominator: limit ±\to \pm\infty
  • Square root expressions: factor, use x|x|, and simplify
  • Use conjugate for x2+bxx\sqrt{x^2 + bx} - x type expressions to resolve \infty-\infty
Read the full chapter in the course

Special limits

Growth of exponential and logarithmic functions

  • Exponential functions (exe^x) outgrow any polynomial as xx \to \infty
  • Logarithmic functions (ln(x)\ln(x)) grow slower than any power of xx as xx \to \infty
  • For limits at infinity:
    • If denominator grows faster (e.g., exe^x), limit 0\to 0
    • If numerator grows faster as denominator 0\to 0, limit ±\to \pm\infty
    • Compare dominant terms for large xx

Squeeze theorem

  • Used to evaluate limits by bounding f(x)f(x) between two functions with known limits
  • If g(x)f(x)h(x)g(x) \leq f(x) \leq h(x) and limxag(x)=limxah(x)=L\lim_{x\to a}g(x) = \lim_{x\to a}h(x) = L, then limxaf(x)=L\lim_{x\to a}f(x) = L
  • Especially useful for oscillating functions and trigonometric limits

Special trigonometric limits

  • limx0sin(x)x=1\lim_{x\to 0} \frac{\sin(x)}{x} = 1
  • limx01cos(x)x=0\lim_{x\to 0} \frac{1 - \cos(x)}{x} = 0
  • For limx0sin(kx)x=k\lim_{x\to 0} \frac{\sin(kx)}{x} = k
    • Use substitution or multiply/divide to match standard forms

Example strategies and challenge problems

  • Use substitution to rewrite limits in standard forms (e.g., u=kxu = kx)
  • Factor denominators to isolate special limit forms
  • For limits like sin(ax)sin(bx)\frac{\sin(ax)}{\sin(bx)} as x0x \to 0, answer is ab\frac{a}{b} by matching to sin(ax)axbxsin(bx)\frac{\sin(ax)}{ax} \cdot \frac{bx}{\sin(bx)}
Read the full chapter in the course

Continuity

Continuity at a point

  • Three conditions: f(a) defined, lim f(x) exists, and lim f(x) = f(a)
  • All three must hold; failure of any one means discontinuous at x = a
  • Closed interval continuity also requires matching one-sided limits at endpoints

Types of discontinuities

  • Removable (hole): limit exists but ≠ f(a), or f(a) undefined
  • Jump: one-sided limits both exist but differ; common in piecewise functions
  • Infinite: limit = ±∞, indicating a vertical asymptote

Piecewise continuity problems

  • Check continuity only at breakpoints (polynomials/rationals are continuous on their own intervals)
  • Set one-sided limits equal to each other and to the function value to solve for unknown constants

Intermediate Value Theorem (IVT)

  • If f is continuous on [a, b] and L is between f(a) and f(b), then f(c) = L for some c in [a, b]
  • Guarantees no "skipping" of values on a continuous interval
  • AP requirement: explicitly state continuity on [a, b] and that f(a) < L < f(b) before invoking IVT
Read the full chapter in the course
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Unit 2: Derivative basics

The derivative

Limit definition of the derivative

Average rate of change

  • Slope between two points on f(x): f(b)f(a)ba\frac{f(b)-f(a)}{b-a}
  • No limits needed — basic algebra formula

Instantaneous rate of change (derivative at a point)

  • Rate of change at one specific point, found via limit
  • Definition: f(a)=limxaf(x)f(a)xaf'(a) = \lim_{x \to a} \frac{f(x)-f(a)}{x-a}
  • Notation: f(a)f'(a) = "f prime of a"; f(a)f''(a) = second derivative

Alternative (limit) definition of the derivative

  • Produces derivative function f'(x) valid for any x
  • Uses difference quotient: f(x)=limh0f(x+h)f(x)hf'(x) = \lim_{h \to 0} \frac{f(x+h)-f(x)}{h}
  • Cancel h algebraically (factor or rationalize) before evaluating limit

Key distinctions

  • Average ROC → use slope formula with two points
  • Instantaneous ROC → must use derivative/limit definition
  • Both limit forms yield the same result; choose whichever is easier for the given function
Read the full chapter in the course

AP-style problems

Working backwards from limit definitions

  • Two definitions to recognize: f(a)=limxaf(x)f(a)xaf'(a) = \lim_{x \to a} \frac{f(x)-f(a)}{x-a} and f(a)=limh0f(a+h)f(a)hf'(a) = \lim_{h \to 0} \frac{f(a+h)-f(a)}{h}
  • Identify which definition applies based on whether the limit is xax \to a or h0h \to 0
  • Extract f(x)f(x) and aa by pattern-matching terms in the numerator, then verify by checking f(a)f(a)

Using tables for rates of change

  • Average rate of change over [a,b][a,b]: f(b)f(a)ba\frac{f(b)-f(a)}{b-a} using table values directly
  • Instantaneous rate of change at a point: use average rate of change over the smallest available surrounding interval as the best estimate
  • Always include units (e.g., inches per minute) when interpreting results
Read the full chapter in the course

Tangent lines & slopes

  1. A secant line connects 2 points and represents the average rate of change.
  2. A tangent line touches effectively touches just 1 point (and does not cross it) and represents the instantaneous rate of change.
  3. The tangent line equation is:

yf(a)=f(a)(xa)y - f(a) = f'(a)(x - a)

  1. A normal line is perpendicular to the tangent line, with a slope that is the negative reciprocal of the tangent line's slope, or 1f(a)\dfrac{1}{f'(a)}.
Read the full chapter in the course

Power rule

Power rule

  • Derivative of xnx^n is nxn1nx^{n-1}
  • Multiply by exponent, subtract 1 from exponent
  • Applies for any real exponent nn

Constant multiple rule

  • Derivative of cf(x)c \cdot f(x) is cf(x)c \cdot f'(x)
  • Constants can be factored out before differentiating

Sum/difference rule

  • Derivative of f(x)=g(x)±h(x)f(x) = g(x) \pm h(x) is g(x)±h(x)g'(x) \pm h'(x)
  • Differentiate each term separately

Special cases for the power rule

  • Linear terms: derivative of axax is aa
  • Constant terms: derivative is 00
    • Any constant (e.g., 22, π2\pi^2)
  • Negative exponents: apply power rule, result may be negative exponent or reciprocal
  • Fractional exponents: rewrite radicals as xm/nx^{m/n}, apply power rule

Simplifying before differentiating

  • Rewrite quotients and radicals as power functions when possible
  • Simplify expressions to sums of power terms for easier differentiation

When the power rule does not apply

  • Power rule only for xnx^n where nn is constant
  • Does not apply to exponential functions like 2x2^x

Constants in exponents

  • If exponent is a constant (e.g., xex^e), power rule applies
  • π\pi and ee are constants, not variables

AP tips

  • Rewrite radicals and quotients using exponents for easier differentiation
  • Recognize constants vs. variables in expressions

Challenge problem strategies

  • Convert all terms to power form before differentiating
  • For tangency: match both slope and yy-value at the point
  • Expand products before applying power rule to each term
Read the full chapter in the course

Product & quotient rules

Product rule

  • Differentiates product of two functions: [f(x)g(x)]=f(x)g(x)+f(x)g(x)[f(x)g(x)]' = f(x)g'(x) + f'(x)g(x)
  • Mnemonic: "Left D right + right D left"
  • Useful when expanding is impractical

Product rule examples

  • Identify f(x)f(x) and g(x)g(x) and their derivatives before applying the rule
  • Can confirm results by expanding and using the power rule term-by-term

Quotient rule

  • Differentiates quotient: [f(x)g(x)]=g(x)f(x)f(x)g(x)[g(x)]2\left[\frac{f(x)}{g(x)}\right]' = \frac{g(x)f'(x) - f(x)g'(x)}{[g(x)]^2}
  • Steps:
    • Bottom × derivative of top
    • Minus top × derivative of bottom
    • Divide by square of bottom
  • Mnemonic: "Lo-D-Hi minus Hi-D-Lo, all over the square of what's below"

Quotient rule examples

  • Identify numerator and denominator functions and their derivatives
  • Sometimes easier to simplify the expression first and use the power rule instead
    • Only split fractions when algebraically valid

AP tip and shortcuts

  • Split fractions to simplify when possible, but only when algebraically correct
  • Constants in numerators/denominators can be treated as coefficients (constant multiple rule)
  • Do not incorrectly split denominators (e.g., x3x+1x3x+x31\frac{x^3}{x+1} \neq \frac{x^3}{x} + \frac{x^3}{1})
Read the full chapter in the course

Special derivatives

Exponential functions

  • ddx(ex)=ex\frac{d}{dx} (e^x) = e^x

  • ddx(bx)=bxln(b)\frac{d}{dx} (b^x) = b^x \ln(b)

  • Distinguish between power rule (xbx^b) and exponential rule (bxb^x)

Logarithmic functions

  • ddx(lnx)=1x\frac{d}{dx} (\ln x) = \frac{1}{x}
  • ddx(logbx)=1xln(b)\frac{d}{dx} (\log_b x)= \frac{1}{x \ln(b)}
  • Domain: only defined for x>0x > 0

Trigonometric functions

  • ddx(sinx)=cosx\frac{d}{dx} (\sin x) = \cos x

  • ddx(cosx)=sinx\frac{d}{dx} (\cos x) = -\sin x

  • ddx(tanx)=sec2x\frac{d}{dx} (\tan x) = \sec^2 x

  • ddx(cotx)=csc2x\frac{d}{dx} (\cot x) = -\csc^2 x

  • ddx(secx)=secxtanx\frac{d}{dx} (\sec x) = \sec x \tan x

  • ddx(cscx)=cscxcotx\frac{d}{dx} (\csc x) = -\csc x \cot x

Read the full chapter in the course

Differentiability & continuity

  • Differentiability implies continuity, but not vice versa.
  • A function that has a discontinuity, a sharp corner, a cusp, or a vertical tangent will not be differentiable there.
  • Always consider if a function is continuous before checking for differentiability.
Read the full chapter in the course
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Unit 3: Advanced differentiation

Chain rule

Chain rule basics

  • Used for differentiating composite functions: f(g(x))f(g(x))
  • Formula: ddxf(g(x))=f(g(x))g(x)\frac{d}{dx}f(g(x)) = f'(g(x)) \cdot g'(x)
  • Differentiate outer function, multiply by derivative of inner function

Chain rule with common functions

  • Power functions: (ax+b)nn(ax+b)n1a(ax+b)^n \to n(ax+b)^{n-1} \cdot a
  • Logarithms: ln(g(x))1g(x)g(x)\ln(g(x)) \to \frac{1}{g(x)} \cdot g'(x)
  • Exponentials: eg(x)eg(x)g(x)e^{g(x)} \to e^{g(x)} \cdot g'(x); bg(x)bg(x)ln(b)g(x)b^{g(x)} \to b^{g(x)}\ln(b) \cdot g'(x)

Combining chain rule with product and quotient rules

  • Identify overall structure (product, quotient, or composition) before applying rules
  • Product rule: (fg)=fg+fg(fg)' = f'g + fg'
    • Use chain rule when differentiating composite factors
  • Quotient rule: (fg)=fgfgg2\left(\frac{f}{g}\right)' = \frac{f'g - fg'}{g^2}
    • Use chain rule for composite denominators/numerators

Worked examples

  • (2x+1)36(2x+1)2(2x + 1)^3 \to 6(2x + 1)^2
  • ln(3x2+x)6x+13x2+x\ln(3x^2 + x) \to \frac{6x + 1}{3x^2 + x}
  • e2x2e2xe^{-2x} \to -2e^{-2x}
  • 23x+1(3ln2)23x+12^{3x+1} \to (3\ln 2)2^{3x+1}
  • 3x(x21)33(x21)2(7x21)3x(x^2-1)^3 \to 3(x^2-1)^2(7x^2-1)
  • (exsinx)22e2xsinx[cosx+sinx](e^x\sin x)^2 \to 2e^{2x}\sin x[\cos x + \sin x]
  • x2(x2+1)213x22(x2+1)3\frac{x}{2(x^2+1)^2} \to \frac{1-3x^2}{2(x^2+1)^3}

Chain rule with tables

  • Use chain rule formula with given function/derivative values
  • Substitute table values for ff, gg, ff', gg' as needed

Challenge problems

  • 32ππt3π22ππt3\sqrt{2\pi - \pi t} \to -\frac{3\pi}{2\sqrt{2\pi - \pi t}}
  • ex2ecosxex2(2x+sinx)ecosx\frac{e^{x^2}}{e^{\cos x}} \to \frac{e^{x^2}(2x+\sin x)}{e^{\cos x}}
  • sin3(lnx)3sin2(lnx)cos(lnx)x\sin^3(\ln x) \to \frac{3\sin^2(\ln x)\cos(\ln x)}{x}
Read the full chapter in the course

Implicit differentiation

Implicit differentiation

  • Used when yy is not explicitly defined as a function of xx (e.g., x2+y2=25x^2 + y^2 = 25)
  • Signs an equation needs it: xx and yy multiplied together, yy raised to a power, yy appearing multiple times

How to find dy/dx

  • Differentiate both sides with respect to xx; multiply every yy-term by dydx\frac{dy}{dx} (chain rule)
  • Collect dydx\frac{dy}{dx} terms, then solve algebraically
  • Example: x2+y2=25dydx=xyx^2 + y^2 = 25 \Rightarrow \frac{dy}{dx} = -\frac{x}{y}

Tangent line at a point

  • Substitute the given point after differentiating to find slope
  • Use point-slope form: yy1=m(xx1)y - y_1 = m(x - x_1)

Horizontal vs. vertical tangent lines

  • Horizontal: numerator of dydx=0\frac{dy}{dx} = 0, denominator 0\neq 0
  • Vertical: denominator of dydx=0\frac{dy}{dx} = 0, numerator 0\neq 0
  • Both zero: no tangent line (requires further analysis — possible cusp or node)

Finding tangent line locations

  • Set numerator or denominator to zero → get a relationship between xx and yy
  • Substitute back into the original equation to find exact points
  • Verify the other part (numerator/denominator) is nonzero at each candidate point
Read the full chapter in the course

Higher order derivatives

Second derivative via implicit differentiation

  • Second derivative = derivative of the first derivative; notation: d2ydx2\dfrac{d^2y}{dx^2}
  • Found by implicitly differentiating twice with respect to xx
  • After second differentiation, substitute the expression for yy' to simplify

Key technique: substituting yy'

  • After applying quotient/chain rule a second time, replace yy' with the first-derivative expression
  • Substitute original equation constraints (e.g., x2+y2=25x^2 + y^2 = 25) to further simplify result
  • Example result for circle: d2ydx2=x2+y2y3=25y3\dfrac{d^2y}{dx^2} = -\dfrac{x^2+y^2}{y^3} = -\dfrac{25}{y^3}

Evaluating at a point

  • Calculate yy' at the given point first, then substitute into the d2ydx2\dfrac{d^2y}{dx^2} expression
  • Both xx, yy, and yy' values must be substituted simultaneously
  • Use original curve equation to find unknown constants before differentiating, if needed
Read the full chapter in the course

Logarithmic differentiation

Logarithmic Differentiation Overview

  • Streamlines differentiation of complex products, quotients, and variable exponents
  • Steps: take natural log, expand with log properties, differentiate implicitly, solve for yy'
  • Key log properties:
    • Product: logb(xy)=logb(x)+logb(y)\log_b(xy) = \log_b(x) + \log_b(y)
    • Quotient: logb(xy)=logb(x)logb(y)\log_b(\frac{x}{y}) = \log_b(x) - \log_b(y)
    • Power: logb(xn)=nlogb(x)\log_b(x^n) = n\log_b(x)

Example: y=(2x+1)2x3x2+2xy = \dfrac{(2x+1)^2}{x^3\sqrt{x^2 + 2x}}

  • Log expansion: 2ln(2x+1)3ln(x)12ln(x2+2x)2\ln(2x+1) - 3\ln(x) - \frac{1}{2}\ln(x^2+2x)
  • Derivative: y=(42x+13xx+1x2+2x)(2x+1)2x3x2+2xy' = \left(\frac{4}{2x+1} - \frac{3}{x} - \frac{x+1}{x^2+2x}\right) \cdot \dfrac{(2x+1)^2}{x^3\sqrt{x^2 + 2x}}

Variable in Both Base and Exponent (e.g., y=xxy = x^x)

  • Log expansion: ln(y)=xln(x)\ln(y) = x\ln(x)
  • Derivative: y=xx(1+ln(x))y' = x^x (1 + \ln(x))

Nested Exponents (e.g., y=xxx2y = x^{x^{x^2}})

  • Multiple log steps: ln(ln(y))=x2ln(x)+ln(ln(x))\ln(\ln(y)) = x^2\ln(x) + \ln(\ln(x))
  • Derivative: y=(x+2xln(x)+1xln(x))xxx2ln(xxx2)y' = \left(x + 2x\ln(x) + \frac{1}{x\ln(x)}\right) \cdot x^{x^{x^2}} \ln(x^{x^{x^2}})

Functions Already in Logarithmic Form

  • Expand using log properties before differentiating
  • Example: R(V)=ln[(V2+1V2)35x+4]R(V) = \ln\left[\left(\frac{V^2+1}{V-2}\right)^3 \sqrt{5x+4}\right]
    • Expansion: 3ln(V2+1)3ln(V2)+12ln(5x+4)3\ln(V^2+1) - 3\ln(V-2) + \frac{1}{2}\ln(5x+4)
    • Derivative: R(V)=6VV2+13V2+510x+8R'(V) = \frac{6V}{V^2+1} - \frac{3}{V-2} + \frac{5}{10x+8}
Read the full chapter in the course

Derivatives of inverse functions

  • The slope of the tangent line to f1(x)f^{-1}(x) at (a,b)(a, b) is the reciprocal of the slope of the tangent line to f(x)f(x) at (b,a)(b, a).

  • f(g(x))=xf(g(x)) = x (or g(f(x))=xg(f(x)) = x is a key phrase that signals the topic is about inverse functions.

Read the full chapter in the course

Inverse trig derivatives

Inverse trig functions

  • Reverse trig functions: input a ratio, output an angle
  • Notation: arcsin(x)=sin1(x)\arcsin(x) = \sin^{-1}(x)csc(x)\csc(x) (reciprocal)
  • Derivatives found via implicit differentiation + right-triangle simplification

Standard inverse trig derivatives

  • (sin1x)=11x2(\sin^{-1}x)' = \dfrac{1}{\sqrt{1-x^2}}, (cos1x)=11x2(\cos^{-1}x)' = \dfrac{-1}{\sqrt{1-x^2}}
  • (tan1x)=11+x2(\tan^{-1}x)' = \dfrac{1}{1+x^2}, (cot1x)=11+x2(\cot^{-1}x)' = \dfrac{-1}{1+x^2}
  • (sec1x)=1xx21(\sec^{-1}x)' = \dfrac{1}{|x|\sqrt{x^2-1}}, (csc1x)=1xx21(\csc^{-1}x)' = \dfrac{-1}{|x|\sqrt{x^2-1}}
    • Co-functions (cos, cot, csc) are always the negative of their counterparts

Chain rule with inverse trig

  • Replace every xx in the formula with the inner argument
  • Multiply by the derivative of the inner argument
  • Example: (sec1(x2+1))=2x(x2+1)(x2+1)21(\sec^{-1}(x^2+1))' = \dfrac{2x}{(x^2+1)\sqrt{(x^2+1)^2-1}}

Simplifying nested trig/inverse trig expressions

  • Use a right triangle: set inner inverse trig expression equal to θ\theta, label sides, apply Pythagorean theorem
  • Two valid approaches: simplify first then differentiate, or differentiate first then simplify with triangle
  • Both approaches yield the same result
Read the full chapter in the course
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Unit 4: Contextual uses

Derivatives in context

Contextual meaning of f'(x)

  • Sign indicates direction: positive = increasing, negative = decreasing, zero = not changing
  • Four required components for AP FRQ interpretation: specific input value, noun/subject, direction (increasing/decreasing), numerical value with units
  • Never say "changing at a rate of negative…" — use "decreasing" instead

Units of a derivative

  • Always output units ÷ input units: output unitsinput units\frac{\text{output units}}{\text{input units}}
  • Applies to both instantaneous and average rates of change

Using Desmos for derivatives

  • Define function using xx, then type f(a)f'(a) to evaluate derivative at a point
  • Calculator-allowed FRQ answers must be accurate to 3 decimal places

Non-time inputs

  • Same 4-component interpretation applies regardless of input variable
  • Estimate f(a)f'(a) from a table using average rate of change over smallest interval containing aa

Derivative of a rate ("rate of a rate")

  • If f(x)f(x) already has rate units (e.g., gal/min), then f(x)f'(x) units are gal/minmin=galmin2\frac{\text{gal/min}}{\text{min}} = \frac{\text{gal}}{\text{min}^2}
  • A negative derivative of a rate means the rate is slowing — the quantity may still be increasing
  • Acceptable phrasing: "per [unit] per [unit]" or "[unit]²"
Read the full chapter in the course

Straight-line motion

Position, velocity, & acceleration

  • By convention, positive means to the right and negative means to the left
  • To decide whether an object is speeding up or slowing down, find when a(t)a(t) and v(t)v(t) equal 00, then use a sign chart (or sign diagram) on the intervals between those times to compare their signs.
Read the full chapter in the course

Graphs & tables

Interpreting position graphs

  • Slope of tangent = instantaneous velocity
  • Increasing graph: velocity positive (moving right/forward/up)
  • Decreasing graph: velocity negative; horizontal segments: object at rest

Interpreting velocity graphs

  • Slope of tangent = instantaneous acceleration
  • Above/below xx-axis: sign of velocity
  • Combine velocity and acceleration signs to determine speeding up/slowing down

Position graph example (problem 1)

  • Average velocity formula: vavg=p(3)p(1)31v_{\text{avg}} = \frac{p(3)-p(1)}{3-1}
  • Particle at rest: intervals with horizontal segments (3,5)(3,5) and (7,9)(7,9)
  • Moving left: negative slope (0,3)(0,3); moving right: positive slope (5,7)(5,7) and (9,11)(9,11)

Velocity graph example (problem 2)

  • Changes direction: when v(t)v(t) crosses xx-axis (at t=3t=3 and t8.8t\approx8.8)
  • Constant speed: horizontal segments on velocity graph (here, (4,7)(4,7))
  • Speeding up: velocity and acceleration same sign; slowing down: opposite signs
  • Maximum speed: greatest v(t)|v(t)| (here, 33 m/min at t=2t=2, 4t74\leq t\leq7, t=14t=14)

Position table example (problem 3)

  • Average velocity: vavg=p(5)p(2)52v_{\text{avg}} = \frac{p(5)-p(2)}{5-2}
  • Change in direction: where position switches from increasing to decreasing (at t3t\approx3)

Velocity table example (problem 4)

  • Rate of change of velocity (acceleration): use symmetric difference quotient, e.g., v(3)v(1)31\frac{v(3)-v(1)}{3-1}
  • Change in direction: when velocity changes sign (between t=3t=3 and t=4t=4)
Read the full chapter in the course

Related rates

Step-by-step strategy for related rates

  • Define variables; use diagrams and assign clear variable names
  • Relate variables with geometric/trigonometric equations
  • Differentiate with respect to time using implicit differentiation
  • Substitute known values after differentiating; solve for unknown rate

Ladder against a wall problem

  • Use Pythagorean theorem: x2+y2=z2x^2 + y^2 = z^2 (with zz constant)
  • Differentiate: 2xdxdt+2ydydt=02x \frac{dx}{dt} + 2y \frac{dy}{dt} = 0
  • Substitute values to solve for dydt\frac{dy}{dt}; negative sign means variable is decreasing

Balloon (sphere) problem

  • Volume: V=43πr3V = \frac{4}{3}\pi r^3; Surface area: A=4πr2A = 4\pi r^2
  • Differentiate both equations; relate dAdt\frac{dA}{dt} and dVdt\frac{dV}{dt} via drdt\frac{dr}{dt}
  • Substitute rr found from VV to compute dAdt\frac{dA}{dt}

Cone draining problem

  • Volume: V=13πr2hV = \frac{1}{3}\pi r^2 h; relate rr and hh via similarity: r=h2r = \frac{h}{2}
  • Substitute to get V=112πh3V = \frac{1}{12}\pi h^3; differentiate: dVdt=14πh2dhdt\frac{dV}{dt} = \frac{1}{4}\pi h^2 \frac{dh}{dt}
  • Plug in known values to solve for dhdt\frac{dh}{dt}; negative rate means height is decreasing

Trigonometric related rates (angle of elevation)

  • Relate variables: tan(θ)=yx\tan(\theta) = \frac{y}{x} (with yy constant)
  • Differentiate: sec2(θ)dθdt=yx2dxdt\sec^2(\theta) \frac{d\theta}{dt} = -\frac{y}{x^2} \frac{dx}{dt}
  • Use Pythagorean theorem to find sec2(θ)\sec^2(\theta) at given xx; solve for dθdt\frac{d\theta}{dt}

General tips

  • Positive rate: variable increasing; negative rate: variable decreasing
  • For constants, substitute before differentiating; for changing quantities, substitute after differentiating
  • Use similarity or proportionality to reduce variables when possible
Read the full chapter in the course

Linear approximations

Local Linear Approximation

  • Tangent line at a known point used to estimate nearby function values
  • Linearization formula: L(x)=f(a)+f(a)(xa)L(x) = f(a) + f'(a)(x - a)
  • Accuracy decreases as input xx moves farther from anchor point aa

Error Analysis: Over vs. Underestimates

  • Error = f(x)L(x)|f(x) - L(x)|
  • If f(x)>0f''(x) > 0 (concave up): tangent line lies below curve → approximation underestimates
  • If f(x)<0f''(x) < 0 (concave down): tangent line lies above curve → approximation overestimates

Applying the Linearization Formula

  • Find point (a,f(a))(a, f(a)) and slope f(a)f'(a), then build tangent line equation
  • Substitute target xx value into L(x)L(x) for the approximation
  • Can solve "backwards" (set L(x)=0L(x) = 0) to approximate zeros of ff
Read the full chapter in the course

L'Hôpital's rule

  • Use L'Hopital's rule only on quotients, when the indeterminate form is 00\dfrac{0}{0} or ±\pm \dfrac{\infty}{\infty}.
  • For the other indeterminate forms, here is a summary for what to do:
Form What to do
00 \cdot \infty Rewrite as fraction
\infty - \infty Combine
00,0,10^0, \infty^0, 1^\infty Use logarithms
Read the full chapter in the course
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Unit 5: Analytical uses

Important theorems

Mean value theorem (MVT)

  • Applies if f(x)f(x) is continuous on [a,b][a,b] and differentiable on (a,b)(a,b)
  • Guarantees c(a,b)\exists\, c \in (a,b) such that f(c)=f(b)f(a)baf'(c) = \dfrac{f(b)-f(a)}{b-a}
  • Instantaneous rate equals average rate at some point

MVT examples

  • Check continuity and differentiability before applying MVT
  • Solve f(c)=f(b)f(a)baf'(c) = \dfrac{f(b)-f(a)}{b-a} for cc in (a,b)(a,b)
  • Real-world: If average speed exceeds speed limit, MVT guarantees speed limit was broken at some instant

Rolle's theorem

  • Special case of MVT: f(a)=f(b)f(a) = f(b)
  • Requires continuity on [a,b][a,b], differentiability on (a,b)(a,b), and f(a)=f(b)f(a) = f(b)
  • Guarantees c(a,b)\exists\, c \in (a,b) such that f(c)=0f'(c) = 0
    • At least one horizontal tangent in (a,b)(a,b)

Rolle's theorem examples

  • Must check all three conditions (continuity, differentiability, f(a)=f(b)f(a)=f(b))
  • If any condition fails, theorem does not apply
  • Find cc by solving f(c)=0f'(c) = 0 in (a,b)(a,b)

Extreme value theorem (EVT)

  • If f(x)f(x) is continuous on [a,b][a,b], ff attains absolute maximum and minimum on [a,b][a,b]
  • Extrema occur at:
    • Critical points (f(x)=0f'(x)=0 or undefined in [a,b][a,b])
    • Endpoints aa and bb
  • Procedure:
    • Verify continuity on [a,b][a,b]
    • Find all critical points in [a,b][a,b]
    • Evaluate f(x)f(x) at critical points and endpoints
    • Largest value = absolute max; smallest = absolute min

EVT examples

  • For polynomials: always continuous, so EVT applies
  • For rational functions: check for discontinuities in [a,b][a,b]
  • If no critical points, compare only endpoint values
Read the full chapter in the course

1st derivative test

Relative extrema

  • Find critical points by setting f(x)=0f'(x) = 0 or finding where f(x)f'(x) is undefined.

  • Use a sign diagram or chart to display the sign of f(x)f'(x) in each interval around the critical points.

  • Interpret the behavior of f(x)f(x) (increasing or decreasing) based on the sign of f(x)f'(x) to justify if a critical point is a relative max or min.

Read the full chapter in the course

On critical points

Critical points and domain

  • x=cx = c is only a critical point if f(c)f(c) is defined
  • If f(c)f'(c) is undefined AND f(c)f(c) is undefined, x=cx = c is NOT a critical point
  • Not every function has critical points

Discontinuities on sign charts

  • Discontinuities (vertical asymptotes, holes) must still appear on the sign chart
  • They split the domain into separate intervals where behavior may differ
  • Cannot be relative extrema since the function is undefined there

Analyzing behavior around discontinuities

  • A sign change in f(x)f'(x) across a discontinuity does NOT create a relative extremum
  • A sign change in f(x)f'(x) across a valid critical point DOES indicate a relative extremum:
    • ++ \to -: relative maximum
    • +- \to +: relative minimum

Domain restrictions affect valid critical points

  • Determine domain first; discard any candidate critical points outside the domain
  • Only test sign chart intervals within the domain of ff
Read the full chapter in the course

2nd derivative test

Concavity

Essentially, the 2nd derivative test to classify extrema only works when three criteria are met:

  1. f(c)f(c) is defined.

  2. f(c)=0f'(c) = 0.

  3. f(c)0f''(c) \neq 0.

If any of those three conditions fail (namely, if f(c)f(c), f(c)f'(c), or f(c)f''(c) is undefined, or if f(c)=0f''(c) = 0), the test does not apply.

Read the full chapter in the course

Inflection points

Inflection points

  • Occur where a function changes concavity (up → down or down → up)
  • Potential inflection points: where f''(x) = 0 or is undefined
  • Must confirm sign change in f''(x) across the point — no sign change means no inflection point

Finding inflection points (steps)

  • Find f''(x), set equal to zero (or find where undefined)
  • Build a sign chart using those x-values as boundaries
  • Inflection point confirmed only if f''(x) changes sign across the boundary

Intervals of concavity

  • f''(x) > 0 → concave up on that interval
  • f''(x) < 0 → concave down on that interval

Key pitfalls

  • f''(x) = 0 is necessary but not sufficient — always verify sign change
    • e.g., f''(x) = 12x²(x−1): x = 0 is not an inflection point (no sign change)
  • When given f'(x), differentiate once more to get f''(x), then apply sign chart
Read the full chapter in the course

Graphs & curve sketching

Connecting graphs of ff, ff', and ff''

  • f(x)f'(x): slope of f(x)f(x); sign indicates increasing/decreasing; zeros/undefined = critical points
  • f(x)f''(x): concavity of f(x)f(x); sign indicates concave up/down; sign changes = inflection points
  • Extrema at critical points where f(x)f'(x) changes sign; inflection points where f(x)f''(x) changes sign

Analyzing f(x)f'(x) to determine f(x)f(x)

  • Critical points where f(x)=0f'(x) = 0 or undefined
  • 1st derivative test: sign change in f(x)f'(x) classifies extrema (min/max)
  • 2nd derivative test: f(x)>0f''(x) > 0 at critical point = min, f(x)<0f''(x) < 0 = max

Comparing f(x)f(x), f(x)f'(x), and f(x)f''(x) at points

  • Use graph features to estimate values and order of f(x)f(x), f(x)f'(x), f(x)f''(x)
  • At extrema: f(x)=0f'(x) = 0; at inflection: f(x)=0f''(x) = 0
  • Concavity and slope inform relative sizes

Curve sketching process

  • Step 1: Find domain, intercepts, asymptotes
  • Step 2: Find critical points using f(x)f'(x)
  • Step 3: Test intervals for increasing/decreasing (f(x)f'(x) sign)
  • Step 4: Find inflection points using f(x)f''(x)
  • Step 5: Test intervals for concavity (f(x)f''(x) sign)
  • Step 6: Combine all info to sketch graph

Example: f(x)=xx21f(x) = \frac{x}{x^2-1}

  • Vertical asymptotes: x=1x = 1, x=1x = -1; horizontal asymptote: y=0y = 0
  • Intercepts: (0,0)(0,0); domain excludes x=±1x = \pm1
  • f(x)=x21(x21)2f'(x) = \frac{-x^2-1}{(x^2-1)^2}: always negative, so f(x)f(x) always decreasing
  • No real critical points (no relative extrema)
  • f(x)=2x(x21)(2x21)(x21)4f''(x) = \frac{-2x(x^2-1)(-2x^2-1)}{(x^2-1)^4}; inflection point at x=0x = 0
  • Concavity changes at x=0x = 0; use sign diagrams for f(x)f'(x) and f(x)f''(x) to guide sketch
Read the full chapter in the course

Optimization

Optimization strategy (4 steps)

  • Step 1: Identify objective function (quantity to maximize/minimize)
  • Step 2: Identify constraint equation(s)
  • Steps 3–4: Substitute constraint into objective, then find critical points via f(x)=0f'(x) = 0 and classify with 2nd derivative test

Distinguishing optimization from related rates

  • Optimization keywords: maximum, minimum, largest, least
  • Related rates keywords: increasing/decreasing at a rate, changing with respect to time
  • Time-based optimization still possible if asked for when a function is maximized/minimized (not a rate)

Closed interval optimization (EVT)

  • Use EVT when problem asks for an absolute extremum on a closed interval [a,b][a, b]
  • Candidates: all critical points + both endpoints
  • Evaluate objective function at each candidate; compare to identify absolute max/min

Motion optimization

  • Match the objective function to what's being optimized (e.g., max acceleration → differentiate v(t)v(t) to get a(t)a(t), then optimize a(t)a(t))
  • If only one critical point exists on the domain, a relative extremum is automatically the absolute extremum
  • Always substitute back into the correct function to find the actual max/min value
Read the full chapter in the course
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Unit 6: Integration

Accumulation of change

Accumulation as area under a rate function

  • Accumulated change = area under rate function graph
  • Units: (vertical units) × (horizontal units)
  • Works for both constant and variable rates

Signed area and net change

  • Area above xx-axis: positive (adds to total)
  • Area below xx-axis: negative (subtracts from total)
  • Net change (displacement) = sum of signed areas

Total distance vs net change

  • Net change/displacement: sum of signed areas (can be negative)
  • Total distance/amount: sum of absolute values of areas (always positive)
  • Use absolute values when asked for total traveled or accumulated

Units in accumulation problems

  • Always include units in final answers (e.g., meters, liters)
  • Rate × time (or other variable) gives accumulated quantity units

Area "under" a curve

  • Refers to area between function graph and xx-axis over interval
  • Negative area when function is below xx-axis (signed area)

AP exam tips

  • Label all answers with correct units
  • Use signed area for net change/displacement
  • Use absolute area for total distance/amount
Read the full chapter in the course

Riemann sums & area

Riemann sums to estimate area

  • Approximate area under a curve by summing areas of rectangles (Riemann sums) or trapezoids (Trapezoidal rule)
  • Three main Riemann sums: left, right, midpoint
  • Steps:
    • Divide [a,b][a, b] into nn subintervals of width Δx=ban\Delta x = \frac{b-a}{n}
    • Choose evaluation point (xkx_k) per subinterval (left, right, or midpoint)
    • Area per rectangle: f(xk)Δxf(x_k)\Delta x (signed area if f(xk)f(x_k) negative)
    • Add all areas for total approximation

Right Riemann sum (Example)

  • Use right endpoints of each subinterval for rectangle heights
  • Formula: Rn=Δxk=1nf(xk)R_n = \Delta x \sum_{k=1}^n f(x_k) (right endpoints)
  • For f(x)=x2f(x) = x^2 on [1,5][1,5], n=4n=4: R4=54R_4 = 54 units2^2

Left Riemann sum (Example)

  • Use left endpoints of each subinterval for rectangle heights
  • Formula: Ln=Δxk=0n1f(xk)L_n = \Delta x \sum_{k=0}^{n-1} f(x_k) (left endpoints)
  • For f(x)=x2f(x) = x^2 on [1,5][1,5], n=4n=4: L4=30L_4 = 30 units2^2

Midpoint Riemann sum (Example)

  • Use midpoints of each subinterval for rectangle heights
  • Formula: Mn=Δxk=1nf(midpointk)M_n = \Delta x \sum_{k=1}^n f(\text{midpoint}_k)
  • For f(x)=x2f(x) = x^2 on [1,5][1,5], n=4n=4: M4=41M_4 = 41 units2^2

Trapezoidal sum (Example)

  • Use trapezoids with bases at function values of subinterval endpoints
  • Area formula: A=h2(b1+b2)A = \frac{h}{2}(b_1 + b_2), h=Δxh = \Delta x
  • Trapezoidal sum: Tn=Δx2[f(x0)+2f(x1)+...+2f(xn1)+f(xn)]T_n = \frac{\Delta x}{2} [f(x_0) + 2f(x_1) + ... + 2f(x_{n-1}) + f(x_n)]
  • For f(x)=x2f(x) = x^2 on [1,5][1,5], n=4n=4: T4=42T_4 = 42 units2^2

Unequal widths

  • For unequal subintervals, use actual widths for each rectangle/trapezoid
  • Left sum: use left endpoint value and subinterval width for each rectangle
  • Right sum: use right endpoint value and subinterval width for each rectangle

Over- and underestimation rules

  • Left sum:
    • Increasing function \to underestimate
    • Decreasing function \to overestimate
  • Right sum:
    • Increasing function \to overestimate
    • Decreasing function \to underestimate
  • Trapezoidal sum:
    • Concave up \to overestimate
    • Concave down \to underestimate
Read the full chapter in the course

Definite integrals

Summation notation

  • Compact form for adding similar terms: k=1nΔxf(xk)\sum_{k=1}^{n} \Delta x \cdot f(x_k)
  • Δx=ban\Delta x = \dfrac{b-a}{n} (width of each rectangle)
  • Right Riemann sum: xk=a+kΔxx_k = a + k\Delta x; left Riemann sum: xk=a+(k1)Δxx_k = a + (k-1)\Delta x (or kk from 00 to n1n-1)

From approximations to integrals

  • Riemann sums approximate area under a curve using rectangles
  • Definite integral: abf(x)dx=limnk=1nΔxf(xk)\int_a^b f(x) dx = \lim_{n \to \infty} \sum_{k=1}^{n} \Delta x \cdot f(x_k)
  • aa, bb = limits of integration; f(x)f(x) = integrand

Definite integral as a limit

  • Δx=ban\Delta x = \dfrac{b-a}{n}, xk=a+kΔxx_k = a + k\Delta x
  • Limit of Riemann sum: limnk=1nbanf(a+bank)\lim_{n \to \infty} \sum_{k=1}^{n} \dfrac{b-a}{n} f(a + \dfrac{b-a}{n}k)
  • Definite integral equals exact net signed area under f(x)f(x) from aa to bb

Examples: Converting between forms

  • To write 24sin(x)dx\int_2^4 \sin(x) dx as a limit: limnk=1n2nsin(2+2kn)\lim_{n \to \infty} \sum_{k=1}^{n} \frac{2}{n} \sin(2 + \frac{2k}{n})
  • To write limnk=1n1n(1+kn)2\lim_{n \to \infty} \sum_{k=1}^{n} \frac{1}{n}(1 + \frac{k}{n})^2 as a definite integral:
    • Possible answers: 12x2dx\int_1^2 x^2 dx or 01(1+x)2dx\int_0^1 (1 + x)^2 dx

Evaluating definite integrals

  • Definite integral = net signed area under f(x)f(x) from aa to bb
  • For simple functions, use geometric area formulas

Examples: Evaluating definite integrals

  • 212xdx=3\int_{-2}^{1} 2x dx = -3
    • Area below xx-axis is negative, above is positive
  • 11xdx=1\int_{-1}^{1} |x| dx = 1
    • Total area is sum of two congruent triangles above xx-axis
Read the full chapter in the course

Accumulation functions

Accumulation functions

  • Defined as A(x)=axf(t)dtA(x) = \int_a^x f(t) dt
  • Represents net signed area under f(t)f(t) from aa to xx
  • f(t)f(t) is the rate of change; A(x)A(x) accumulates this rate

Fundamental Theorem of Calculus (FTC), Part 1

  • ddx(axf(t)dt)=f(x)\frac{d}{dx} \left(\int_a^x f(t) dt\right) = f(x)
  • Differentiation "undoes" accumulation
  • Applies when lower bound is constant and ff is continuous

FTC with chain rule (variable upper limit)

  • ddx(ag(x)f(t)dt)=f(g(x))g(x)\frac{d}{dx} \left(\int_a^{g(x)} f(t) dt\right) = f(g(x)) \cdot g'(x)
  • Replace tt with g(x)g(x) in f(t)f(t), multiply by g(x)g'(x)

FTC with both limits variable

  • ddx(h(x)g(x)f(t)dt)=f(g(x))g(x)f(h(x))h(x)\frac{d}{dx} \left(\int_{h(x)}^{g(x)} f(t) dt\right) = f(g(x))g'(x) - f(h(x))h'(x)
  • Subtract lower limit contribution from upper limit

Properties of definite integrals

  • Splitting: acf(x)dx=abf(x)dx+bcf(x)dx\int_a^c f(x) dx = \int_a^b f(x) dx + \int_b^c f(x) dx
  • Reversing limits: abf(x)dx=baf(x)dx\int_a^b f(x) dx = -\int_b^a f(x) dx
  • Constant multiples: abkf(x)dx=kabf(x)dx\int_a^b k f(x) dx = k \int_a^b f(x) dx
  • Linearity: ab[f(x)±g(x)]dx=abf(x)dx±abg(x)dx\int_a^b [f(x) \pm g(x)] dx = \int_a^b f(x) dx \pm \int_a^b g(x) dx
    • Does not apply to products or quotients

Common strategies

  • Rewrite integrals so one limit is constant before applying FTC
  • Use properties to combine, split, or reverse integrals as needed
  • When both limits are variable, apply generalized FTC formula
Read the full chapter in the course

Behavior of accumulation functions

Accumulation functions and their properties

  • Accumulation function: F(x)=axf(t)dtF(x) = \int_a^x f(t)\,dt
  • F(x)=f(x)F'(x) = f(x) (Fundamental Theorem of Calculus)
  • F(x)=f(x)F''(x) = f'(x) (concavity from derivative of ff)

Increasing/decreasing behavior

  • F(x)F(x) increasing where f(x)>0f(x) > 0
  • F(x)F(x) decreasing where f(x)<0f(x) < 0

Relative and absolute extrema

  • Relative min: where f(x)f(x) changes from negative to positive
  • Relative max: where f(x)f(x) changes from positive to negative
  • Absolute extrema: check endpoints and critical points (where f(x)=0f(x)=0)

Concavity and inflection points

  • Concave up: where f(x)>0f'(x) > 0 (i.e., f(x)f(x) increasing)
  • Concave down: where f(x)<0f'(x) < 0 (i.e., f(x)f(x) decreasing)
  • Inflection point: where f(x)f'(x) changes sign

Chain rule with accumulation functions

  • For h(x)=ag(x)f(t)dth(x) = \int_a^{g(x)} f(t)\,dt:
    • h(x)=f(g(x))g(x)h'(x) = f(g(x)) \cdot g'(x)
    • h(x)=f(g(x))(g(x))2+f(g(x))g(x)h''(x) = f'(g(x)) \cdot (g'(x))^2 + f(g(x)) \cdot g''(x)

Graphical interpretation

  • Signed area under ff gives value of accumulation function
  • Use graph features (zero crossings, increasing/decreasing, slopes) to analyze FF or hh

AP Exam Tip

  • Write F(x)=f(x)F'(x) = f(x) when given F(x)=axf(t)dtF(x) = \int_a^x f(t)\,dt to clarify roles of FF and ff
Read the full chapter in the course

Fundamental theorem of calculus

The FTC (part 2) for definite integrals:

To evaluate abf(x)dx\int_a^b f(x)\,dx, find the antiderivative F(x)F(x) and compute F(b)F(a)F(b) - F(a). Always wrap F(a)F(a) in parentheses to distribute negative signs correctly.

Reverse power rule:

Add 1 to the exponent and divide by the new exponent:

xndx=xn+1n+1+C\int x^n\,dx = \frac{x^{n+1}}{n+1} + C

(where n1n \neq -1).

Desmos shortcut:

Type "int" for the integral symbol. You must wrap multi-term integrands in parentheses before typing dxdx so the calculator evaluates it.

Graphs and tables:

A definite integral represents the net area under a curve. Use geometric formulas for graphs, or Riemann sums for tables, to calculate or estimate this area.

Read the full chapter in the course

Indefinite integrals

Definite vs. indefinite integrals

  • Definite integral abf(x)dx\int_a^b f(x)\,dx: bound by interval [a,b][a,b], evaluates to a single number
  • Indefinite integral f(x)dx\int f(x)\,dx: no bounds, returns a family of functions (general antiderivative)

Constant of integration (+C)

  • Functions differing only by a constant share the same derivative, so the original shift is unknown
  • All indefinite integrals must include +C+C unless an initial condition is given to solve for it

Reverse power rule

  • xndx=xn+1n+1+C\int x^n\,dx = \frac{x^{n+1}}{n+1} + C, valid for n1n \neq -1
  • Special case: 1xdx=lnx+C\int \frac{1}{x}\,dx = \ln|x| + C (division by zero occurs if power rule is applied)

Core integration rules

  • Exponential: exdx=ex+C\int e^x\,dx = e^x + C; axdx=axlna+C\int a^x\,dx = \frac{a^x}{\ln a} + C
  • Trig: sinxdx=cosx+C\int \sin x\,dx = -\cos x + C; cosxdx=sinx+C\int \cos x\,dx = \sin x + C; sec2xdx=tanx+C\int \sec^2 x\,dx = \tan x + C
  • Inverse trig: 11+x2dx=tan1(x)+C\int \frac{1}{1+x^2}\,dx = \tan^{-1}(x)+C; 11x2dx=sin1(x)+C\int \frac{1}{\sqrt{1-x^2}}\,dx = \sin^{-1}(x)+C

Integration strategies

  • Split fractions or expand polynomials algebraically before integrating when needed
  • Integrate term-by-term for sums/differences

Particular solutions (initial conditions)

  • General solution includes +C+C; a given point f(a)=bf(a) = b allows solving for exact CC
  • Substituting the initial condition into the general solution yields the particular solution

Calculator use for definite integrals

  • Use Desmos for complex definite integrals on calculator-permitted sections
  • Desmos evaluates numerical results only (requires bounds; cannot return symbolic antiderivatives)
Read the full chapter in the course

u-substitution

u-substitution basics

  • Reverse chain rule; used when an inner function and its derivative both appear in the integrand
  • Choose u = inner/nested function g(x); avoid u = x

Step-by-step process

  • Set u = g(x), compute du = g'(x)dx, solve for dx
  • Substitute u and dx so all x-terms cancel
  • Integrate in terms of u, then back-substitute g(x); add +C for indefinite integrals

Choosing u strategically

  • Rational functions: try u = denominator so numerator cancels
  • Negative exponential powers: rewrite as e^(–x²) to expose nested exponent
  • Logarithms: use derivative rule d/dx(ln x) = 1/x to identify u

Extended substitution technique

  • If a leftover x remains after substitution, solve u = g(x) for x and replace it
  • Split higher-power exponentials (e.g., e^(3x) = e^(2x)·e^x) to match du, then express remaining terms via u

Definite integrals with u-substitution

  • Option 1: convert x-bounds to u-bounds and evaluate entirely in u
  • Option 2: integrate in u, back-substitute to x, then apply original x-bounds
  • AP exam note: if the variable changes to u, bounds must also change to u-values — pairing u with original x-bounds is a classic wrong answer
Read the full chapter in the course

Long division & completing the square

Long division

  • Use when numerator degree ≥ denominator degree in rational functions
  • Rewrite as polynomial + proper fraction using polynomial long division
  • Integrate resulting terms separately:
    • Polynomials: reverse power rule
    • Proper fractions: uu-substitution or standard forms (e.g., logarithms, inverse trig)

Completing the square

  • Use for quadratics in denominators or under square roots that don't factor easily
  • Rewrite quadratic as (x+a)2+b(x + a)^2 + b form
  • Allows matching to standard inverse trig integrals:
    • 1x2+1dx=tan1(x)+C\int \frac{1}{x^2 + 1}dx = \tan^{-1}(x) + C
    • 11x2dx=sin1(x)+C\int \frac{1}{\sqrt{1 - x^2}}dx = \sin^{-1}(x) + C
  • May require uu-substitution and adjusting constants for standard forms
Read the full chapter in the course
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Unit 7: Differential equations

Intro to differential equations

Differential equations

  • Equation relating an unknown function to one or more of its derivatives
  • "Solution" = a function that satisfies the equation when substituted in

Modeling verbal descriptions

  • "Rate of change of y with respect to x" → dydx\frac{dy}{dx}
  • Key proportionality translations (k = constant of proportionality):
    • Proportional to A → kAkA; inversely proportional to A → kA\frac{k}{A}
    • Proportional to product of A and B → kABkAB; changing linearly → kk
  • Find k by substituting given numerical values into the equation

Common model types

  • Growth/decay proportional to current size → dPdt=kP\frac{dP}{dt} = kP
  • Inversely proportional rate → dLdt=kL\frac{dL}{dt} = \frac{k}{L} (faster change when L is small)
  • Linear change → dSdt=k\frac{dS}{dt} = k (constant derivative)

Verifying solutions

  • Differentiate the given function as needed (find y′, y″, etc.)
  • Substitute y and its derivatives into the equation
  • Confirm both sides are equal; if solving for k, match coefficients
Read the full chapter in the course

Slope fields

  • Slope fields show solution behavior for differential equations

  • To draw a slope field from a differential equation, calculate the slope at each point (x,y)(x, y) and draw a line segment at that point with the specified slope.

  • Use patterns (horizontal or vertical lines) to recognize equation types.

Read the full chapter in the course

Separation of variables

Separation of variables

  • Used for first-order differential equations of the form dydx=f(x)g(y)\frac{dy}{dx} = f(x)g(y)
  • Rearrange to isolate yy-terms with dydy and xx-terms with dxdx
  • Integrate both sides to solve

Applying initial conditions

  • Substitute given (x,y)(x, y) values after integrating to solve for the constant CC
  • Plug CC back into the general solution for the particular solution

Example 1: dydx=exy\frac{dy}{dx} = e^{x-y}, y(0)=ln(5)y(0) = \ln(5)

  • Separate: eydy=exdxe^y\,dy = e^x\,dx
  • Integrate: ey=ex+Ce^y = e^x + C
  • Apply initial condition: C=4C = 4
  • Solution: y=ln(ex+4)y = \ln(e^x + 4)

Example 2: dydx=y+yx2\frac{dy}{dx} = y + yx^2

  • Factor: y(1+x2)y(1 + x^2)
  • Separate: 1ydy=(1+x2)dx\frac{1}{y}\,dy = (1 + x^2)\,dx
  • Integrate: lny=x+x33+C\ln|y| = x + \frac{x^3}{3} + C
  • General solution: y=Cex+x3/3y = Ce^{x + x^3/3}

Example 3: dydx=xy2\frac{dy}{dx} = xy^2, y(0)=1y(0) = 1

  • Separate: 1y2dy=xdx\frac{1}{y^2}\,dy = x\,dx
  • Integrate: 1y=x22+C-\frac{1}{y} = \frac{x^2}{2} + C
  • Apply initial condition: C=1C = -1
  • Solution: y=2x22y = -\frac{2}{x^2 - 2}

Example 4: dydx=y+1\frac{dy}{dx} = y + 1, y(2)=0y(2) = 0

  • Separate: 1y+1dy=dx\frac{1}{y+1}\,dy = dx
  • Integrate: ln(y+1)=x+C\ln(y+1) = x + C
  • Apply initial condition: C=2C = -2
  • Solution: y=ex21y = e^{x-2} - 1

Example 5: dydt=2t+1y\frac{dy}{dt} = \frac{2t+1}{y}, y(0)=2y(0) = 2

  • Separate: ydy=(2t+1)dty\,dy = (2t+1)\,dt
  • Integrate: y22=t2+t+C\frac{y^2}{2} = t^2 + t + C
  • Apply initial condition: C=2C = 2
  • Solution: y=2t2+2t+4y = \sqrt{2t^2 + 2t + 4}
  • At t=1t=1: y=22y = 2\sqrt{2}

Tangent line approximation and concavity

  • Tangent line at (x0,y0)(x_0, y_0): yy0=f(x0)(xx0)y - y_0 = f'(x_0)(x - x_0)
  • If f(x)<0f''(x) < 0, function is concave down
    • Tangent line overestimates function near x0x_0

Example 6: dydx=πcos(πx)y\frac{dy}{dx} = \pi\cos(\pi x)\sqrt{y}, f(1)=4f(1) = 4

  • Tangent line at (1,4)(1, 4): y4=2π(x1)y - 4 = -2\pi(x - 1)
  • Approximate f(0.9)f(0.9): f(0.9)0.2π+4f(0.9) \approx 0.2\pi + 4
  • Concavity: f(x)<0f''(x) < 0 implies tangent overestimates f(0.9)f(0.9)
  • Separate: 1ydy=πcos(πx)dx\frac{1}{\sqrt{y}}\,dy = \pi\cos(\pi x)\,dx
  • Integrate: 2y1/2=sin(πx)+C2y^{1/2} = \sin(\pi x) + C
  • Apply initial condition: C=4C = 4
  • Solution: y=(12sin(πx)+2)2y = \left(\frac{1}{2}\sin(\pi x) + 2\right)^2
Read the full chapter in the course

Exponential models

Exponential differential equations: general solution

  • Modeled by dydt=ky\frac{dy}{dt} = ky
  • General solution: y=Cekty = Ce^{kt}
  • k>0k>0: growth; k<0k<0: decay

Separation of variables method

  • Separate variables: 1ydy=kdt\frac{1}{y}dy = kdt
  • Integrate: lny=kt+C\ln|y| = kt + C
  • Exponentiate: y=Cekty = Ce^{kt}

Using initial condition

  • Substitute y(0)=y0y(0) = y_0 into y=Cekty = Ce^{kt}
  • Particular solution: y=y0ekty = y_0 e^{kt}

Population growth example

  • Model: P(t)=P0ektP(t) = P_0 e^{kt}
  • Doubling time: k=ln(2)5k = \frac{\ln(2)}{5}
  • Time to triple: t=5ln(3)ln(2)7.93t = \frac{5\ln(3)}{\ln(2)} \approx 7.93 years

Radioactive decay example

  • Model: A(t)=A0ektA(t) = A_0 e^{kt}
  • Half-life TT: k=ln(1/2)Tk = \frac{\ln(1/2)}{T}
  • Time to decay from 100100 to 2020 grams: t=ln(0.2)10ln(0.5)23.22t = \ln(0.2) \cdot \frac{10}{\ln(0.5)} \approx 23.22 hours

Tank filling (non-standard exponential model)

  • Differential equation: dHdt=14(120H)\frac{dH}{dt} = \frac{1}{4}(120 - H)
  • Water rises faster at lower HH (e.g., 3030 cm vs 9090 cm)
  • Solution with H(0)=10H(0) = 10: H(t)=120110et/4H(t) = 120 - 110e^{-t/4}
Read the full chapter in the course
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Unit 8: Applications of integrals

Average value of a function

Average value of a function

  • Formula: favg=1baabf(x)dxf_\text{avg} = \frac{1}{b-a} \int_a^b f(x) \, dx
  • Units of favgf_\text{avg} always match units of f(x)f(x)

Average value vs. average rate of change

  • Key strategy: check units to identify which formula to use
  • Average value (integral formula): given data already in target units — integrate and divide by interval length
  • Average rate of change (slope formula): answer requires introducing a new unit (e.g., per hour) — use f(b)f(a)ba\frac{f(b)-f(a)}{b-a}

Calculus connection between the two

  • Integrating a rate gives net change: abR(t)dt=V(b)V(a)\int_a^b R(t)\,dt = V(b)-V(a)
  • Average value of a rate = ARC of its accumulation function: Ravg=V(b)V(a)baR_\text{avg} = \frac{V(b)-V(a)}{b-a}
  • Formula choice depends on which "level" (rate or total) the problem provides

FRQ problem-solving strategies

  • "Average rate of change of volume" with rate given → average value of R(t)R(t)
  • Total amount at time tt: V(t)=V(0)+0tR(s)dsV(t) = V(0) + \int_0^t R(s)\,ds
  • Rate increasing/decreasing at a point → evaluate R(t)R'(t); sign determines answer
  • Amount increasing/decreasing → evaluate R(t)R(t) directly (since V(t)=R(t)V'(t) = R(t))
Read the full chapter in the course

Motion with integrals

Displacement

  • Displacement = definite integral of velocity: abv(t)dt\int_a^b v(t)dt
  • Represents net change in position over [a,b][a, b]
  • Signed value; can be zero if object returns to start

Total distance

  • Total distance = abv(t)dt\int_a^b |v(t)|dt
  • Integrate absolute value of velocity
  • Requires splitting integral at points where v(t)=0v(t) = 0

Accumulating position from velocity

  • Position at time tt: s(t)=s(a)+atv(x)dxs(t) = s(a) + \int_a^t v(x)dx
  • Use Fundamental Theorem of Calculus
  • Displacement = change in position, total distance = integral of v(t)|v(t)|

From acceleration to position

  • Integrate acceleration to get velocity: v(t)=a(t)dt+Cv(t) = \int a(t)dt + C
  • Integrate velocity to get position: s(t)=v(t)dt+Cs(t) = \int v(t)dt + C
  • Use initial conditions to solve for constants

Velocity graphs

  • Displacement = net signed area under v(t)v(t) curve
  • Total distance = sum of absolute values of areas under v(t)v(t)
  • For position at a later time: add displacement over interval to known position

Key formulas

  • Displacement: abv(t)dt\int_a^b v(t)dt
  • Total distance: abv(t)dt\int_a^b |v(t)|dt
  • Position from velocity: s(t)=s(a)+atv(x)dxs(t) = s(a) + \int_a^t v(x)dx
  • Velocity from acceleration: v(t)=a(t)dt+Cv(t) = \int a(t)dt + C
Read the full chapter in the course

Area between curves

Area between two curves: basics

  • Area = definite integral of (top function - bottom function) over interval
  • For vertical slices: integrate with respect to xx
  • For horizontal slices: integrate with respect to yy

Vertical slices

  • Area formula: ab(f(x)g(x))dx\int_a^b (f(x) - g(x))dx
  • "Top" function minus "bottom" function on [a,b][a, b]
  • Always use positive area (if negative, switch order)

Finding intersection points

  • Set curves equal to find limits of integration
  • Split integral if curves intersect multiple times

Horizontal slices

  • Use when region is easier to describe with yy
  • Area formula: cd(f(y)g(y))dy\int_c^d (f(y) - g(y))dy
    • f(y)f(y) = right function, g(y)g(y) = left function

Multiple intersection points

  • Functions may switch roles (top/bottom or left/right)
  • Split integral at each intersection point
  • Alternatively, use differencedx\int |\text{difference}|\,dx for total area

General strategies

  • Choose vertical or horizontal slices based on region shape
  • Always check which function is on top/right in each interval
  • For complicated regions, break into sub-intervals and sum areas
Read the full chapter in the course

Volume

Using cross sections

Always identify:

  • The direction of slicing (perpendicular to xx or yy-axis) to determine the expression for the side length ss.
  • The area formula A(x)A(x) or A(y)A(y) depending on the shape of the cross section
  • The limits of integration

Common area formulas, where ss is the distance between the curves and/or axes that defines the size of the shape:

Shape Area
Square A=s2A = s^2
Rectangle A=s×hA = s \times h
Equilateral triangle A=34s2A = \dfrac{\sqrt{3}}{4}s^2
Isosceles right triangle, hypotenuse as base A=14s2A = \dfrac{1}{4}s^2
Isosceles right triangle, leg as base A=12s2A = \dfrac{1}{2}s^2
Semicircle A=π8s2A = \dfrac{\pi}{8}s^2
Quarter circle A=π4s2A = \dfrac{\pi}{4}s^2
Read the full chapter in the course

Disk method

Disk method overview

  • Finds volume of a solid of revolution by integrating circular cross sections
  • Cross-sectional area formula: A=πR2A = \pi R^2

Horizontal axis of revolution (use dxdx)

  • Axis is horizontal (e.g., xx-axis or y=ky = k); integrate with respect to xx
  • Formula: V=πab[R(x)]2dxV = \pi \int_a^b [R(x)]^2 \, dx
  • Radius: R(x)=f(x)AxisR(x) = |f(x) - \text{Axis}| (vertical distance from curve to axis)

Vertical axis of revolution (use dydy)

  • Axis is vertical (e.g., yy-axis or x=kx = k); integrate with respect to yy
  • Formula: V=πcd[R(y)]2dyV = \pi \int_c^d [R(y)]^2 \, dy
  • Radius: R(y)=g(y)AxisR(y) = |g(y) - \text{Axis}| (horizontal distance from curve to axis)
    • Rewrite curve as x=g(y)x = g(y) before finding radius and bounds

Choosing integration variable (AP tip)

  • Direction of integration runs parallel to the axis of revolution
    • Horizontal axis → dxdx
    • Vertical axis → dydy
Read the full chapter in the course

Washer method

Washer Method Overview

  • Used for hollow solids of revolution (disk with a hole)
  • Formula: V=πab[R(x)2r(x)2]dxV = \pi \int_a^b [R(x)^2 - r(x)^2]dx
  • Use dydy and express in terms of yy when rotating about a vertical axis

Identifying Radii

  • Outer radius RR: distance from axis to the farther function
  • Inner radius rr: distance from axis to the closer function
  • When axis is not at origin, add/subtract axis value to each radius

Horizontal Axis of Rotation

  • Radii are vertical distances measured from the axis
  • Find bounds by setting the two functions equal and solving
  • Axis shift example: rotating about y=1y = -1 adds 1 to each radius

Vertical Axis of Rotation

  • Rewrite both curves as xx in terms of yy
  • Radii are horizontal distances from the vertical axis
  • Bounds come from yy-values at intersection points
Read the full chapter in the course
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AP Calculus AB exam at a glance

Questions
42 multiple-choice questions, 6 free-response questions
Time
3 hours 10 minutes
Passing score
3 (on scale of 1-5)
Exam fee
$99
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