Chapter 2: Differentiation

The derivative measures how quickly a function is changing at any point. Think of it as: $f'(x) = \lim\_{h \to 0} \frac{f(x+h) - f(x)}{h}$ Find f'(x) for f(x) = xยฒ $f'(a) = \lim\_{x \to a} \frac{f(...

Chapter 2: Differentiation

AP Exam Weight: 25-35% | Multiple Choice: 10-14 questions | Free Response: Major focus in several questions

๐Ÿ“š Table of Contents

  1. Definition
  2. Basic Rules
  3. Advanced Rules
  4. Applications
  5. Optimization

1. Definition of Derivative ๐Ÿ“Š

Understanding the Derivative

The derivative measures how quickly a function is changing at any point. Think of it as:

  • The instantaneous speedometer in your car
  • The slope of a mountain at a specific point
  • The rate of population growth at a moment
  • The sensitivity of temperature change

Limit Definition

fโ€ฒ(x)=limโกhโ†’0f(x+h)โˆ’f(x)hf'(x) = \lim_{h \to 0} \frac{f(x+h) - f(x)}{h}

Intuitive Understanding

  • The derivative is a special limit
  • We're finding the slope of increasingly closer secant lines
  • As h gets tiny (approaches 0), secant line becomes tangent line
  • Think of zooming in until curve looks like a straight line

Process for Finding Limit Definition

  1. Start with difference quotient
  2. Substitute and simplify
  3. Take limit as h approaches 0
  4. Simplify result

Example Walkthrough

Find f'(x) for f(x) = xยฒ

  1. Write quotient: limโกhโ†’0(x+h)2โˆ’x2h\lim_{h \to 0} \frac{(x+h)^2 - x^2}{h}
  2. Expand: limโกhโ†’0x2+2xh+h2โˆ’x2h\lim_{h \to 0} \frac{x^2 + 2xh + h^2 - x^2}{h}
  3. Simplify: limโกhโ†’02xh+h2h=limโกhโ†’0(2x+h)\lim_{h \to 0} \frac{2xh + h^2}{h} = \lim_{h \to 0} (2x + h)
  4. Result: f'(x) = 2x

Alternative Form

fโ€ฒ(a)=limโกxโ†’af(x)โˆ’f(a)xโˆ’af'(a) = \lim_{x \to a} \frac{f(x) - f(a)}{x-a}

When to Use

  • Helpful for finding derivatives at specific points
  • Useful when function is defined piecewise
  • Better for some theoretical proofs
  • Equivalent to h-definition

Interpretations

1. Geometric Interpretation

  • Slope of tangent line at point (x, f(x))
  • Rate of steepness of curve
  • Direction of motion along curve
  • Visual representation of rate of change

2. Physical Interpretation

  • Instantaneous velocity from position function
  • Rate of reaction in chemistry
  • Rate of growth in biology
  • Rate of change in any quantity

3. Practical Applications

  • Market rate of change in economics
  • Acceleration in physics
  • Population growth rates
  • Temperature change rates

Notation

Different notations emphasize different aspects of derivatives:

Leibniz Notation: ddx[f(x)]\frac{d}{dx}[f(x)] or dydx\frac{dy}{dx}

  • Emphasizes ratio of changes
  • Helpful for related rates
  • Clear variable dependency
  • Standard for differential equations

Prime Notation: f'(x)

  • Compact and clean
  • Good for multiple derivatives (fโ€, f''')
  • Common in theoretical work
  • Easy to write quickly

Newton's Notation: yห™\dot{y}

  • Used mainly in physics
  • Represents time derivatives
  • Multiple dots for higher derivatives
  • Compact for motion problems

Common Misconceptions

  1. The Derivative Is Not:

    • Average rate of change
    • Slope between two points
    • Change in y over change in x
    • A secant line slope
  2. Common Errors:

    • Forgetting limit process
    • Confusing average and instantaneous rates
    • Misinterpreting negative derivatives
    • Not checking for differentiability
  3. Points of Confusion:

    • Corner points
    • Vertical tangent lines
    • Points of discontinuity
    • Infinite derivatives

Practice Strategies

  1. Understanding the Definition:

    • Draw secant lines approaching tangent
    • Calculate difference quotients
    • Take limits step by step
    • Verify with graphs
  2. Mastering Interpretations:

    • Connect to real-world scenarios
    • Practice slope visualization
    • Link to rate problems
    • Use multiple representations
  3. Notation Fluency:

    • Practice converting between notations
    • Use appropriate notation for context
    • Understand meaning of each symbol
    • Connect to physical meanings

2. Basic Rules ๐Ÿ“

Understanding Basic Derivatives

The foundation of calculus rests on these fundamental rules. Think of them as:

  • The basic vocabulary of calculus
  • Building blocks for more complex derivatives
  • Essential patterns to recognize
  • Core rules that never change

Power Rule

ddx[xn]=nxnโˆ’1\frac{d}{dx}[x^n] = nx^{n-1}

How It Works

  1. Take the exponent
  2. Multiply it by the base
  3. Reduce exponent by 1
  4. Apply to each term separately

Examples

  1. ddx[x3]=3x2\frac{d}{dx}[x^3] = 3x^2
  2. ddx[x1/2]=12xโˆ’1/2\frac{d}{dx}[x^{1/2}] = \frac{1}{2}x^{-1/2}
  3. ddx[xโˆ’2]=โˆ’2xโˆ’3\frac{d}{dx}[x^{-2}] = -2x^{-3}

Common Mistakes

  • Forgetting to multiply by power
  • Adding instead of subtracting exponent
  • Mishandling negative exponents
  • Confusion with chain rule cases

Constant Rule

ddx[c]=0\frac{d}{dx}[c] = 0

Understanding Why

  • Constants don't change
  • Their rate of change is zero
  • Graph is horizontal line
  • No matter what x does, c stays same

Sum/Difference Rule

ddx[f(x)ยฑg(x)]=fโ€ฒ(x)ยฑgโ€ฒ(x)\frac{d}{dx}[f(x) \pm g(x)] = f'(x) \pm g'(x)

Key Concepts

  • Derivatives distribute over addition/subtraction
  • Each term differentiated separately
  • Signs stay the same
  • Order doesn't matter

Example Walkthrough

Find ddx[3x4โˆ’2x2+5xโˆ’7]\frac{d}{dx}[3x^4 - 2x^2 + 5x - 7]

  1. Split into terms: (3x4)+(โˆ’2x2)+(5x)+(โˆ’7)(3x^4) + (-2x^2) + (5x) + (-7)
  2. Apply power rule to each:
    • 3โ‹…4x3=12x33 \cdot 4x^3 = 12x^3
    • โˆ’2โ‹…2x1=โˆ’4x-2 \cdot 2x^1 = -4x
    • 5โ‹…1x0=55 \cdot 1x^0 = 5
    • 00 (constant)
  3. Combine: 12x3โˆ’4x+512x^3 - 4x + 5

Constant Multiple Rule

ddx[cf(x)]=cfโ€ฒ(x)\frac{d}{dx}[cf(x)] = cf'(x)

Applications

  • Pull out coefficients
  • Keep constants in place
  • Multiply after differentiating
  • Useful for simplifying

3. Advanced Rules ๐Ÿ”„

Product Rule

ddx[f(x)g(x)]=fโ€ฒ(x)g(x)+f(x)gโ€ฒ(x)\frac{d}{dx}[f(x)g(x)] = f'(x)g(x) + f(x)g'(x)

Understanding the Rule

  • Think "first times derivative of second plus second times derivative of first"
  • Like FOIL but for derivatives
  • Each function takes turns being differentiated
  • Other function stays the same

Common Applications

  1. Polynomial Products
    • (x2)(x3)(x^2)(x^3)
    • (x+1)(x2โˆ’3)(x+1)(x^2-3)
  2. Trig-Polynomial Combinations
    • xsinโก(x)x\sin(x)
    • x2cosโก(x)x^2\cos(x)
  3. Exponential-Polynomial
    • xexxe^x
    • x2lnโก(x)x^2\ln(x)

Example Walkthrough

Find ddx[x2sinโก(x)]\frac{d}{dx}[x^2\sin(x)]

  1. Identify f(x) = xยฒ and g(x) = sin(x)
  2. Find f'(x) = 2x and g'(x) = cos(x)
  3. Apply rule: (2x)(sinโก(x))+(x2)(cosโก(x))(2x)(\sin(x)) + (x^2)(\cos(x))
  4. Result: 2xsinโก(x)+x2cosโก(x)2x\sin(x) + x^2\cos(x)

Quotient Rule

ddx[f(x)g(x)]=fโ€ฒ(x)g(x)โˆ’f(x)gโ€ฒ(x)[g(x)]2\frac{d}{dx}[\frac{f(x)}{g(x)}] = \frac{f'(x)g(x) - f(x)g'(x)}{[g(x)]^2}

Memory Device

"Low d-High minus High d-Low over square of below"

Key Points

  1. Denominator is always squared
  2. Numerator follows specific pattern
  3. Order matters in subtraction
  4. Check for domain restrictions

Chain Rule

ddx[f(g(x))]=fโ€ฒ(g(x))โ‹…gโ€ฒ(x)\frac{d}{dx}[f(g(x))] = f'(g(x)) \cdot g'(x)

Visual Understanding

  • Think of peeling layers of an onion
  • Work from outside in
  • Multiply results together
  • Keep track of inside function

Common Patterns

  1. Power Functions
    • (x2+1)3(x^2 + 1)^3
    • x2+1\sqrt{x^2 + 1}
  2. Exponentials
    • ex2e^{x^2}
    • 2sin(x)2^{sin(x)}
  3. Trigonometric
    • sinโก(x2)\sin(x^2)
    • tanโก(ex)\tan(e^x)

4. Applications ๐ŸŽฏ

Understanding how different changing quantities relate to each other.

Problem-Solving Process

  1. Draw a Diagram

    • Label variables
    • Show relationships
    • Mark known values
    • Indicate what's changing
  2. Write an Equation

    • Connect variables
    • Use geometric formulas
    • Consider relationships
    • Keep variables as functions of time
  3. Differentiate

    • Use chain rule
    • Remember implicit differentiation
    • Keep track of units
    • Watch for constant terms
  4. Solve

    • Substitute known values
    • Solve for unknown rate
    • Check units
    • Verify answer makes sense

Common Scenarios

  1. Geometric

    • Growing circles
    • Sliding ladders
    • Changing triangles
    • Expanding volumes
  2. Real-World

    • Water filling tanks
    • Shadow lengths
    • Distance problems
    • Cost relationships

Linear Approximation

f(x)โ‰ˆf(a)+fโ€ฒ(a)(xโˆ’a)f(x) \approx f(a) + f'(a)(x-a)

Understanding the Concept

  • Tangent line approximation
  • Best near x = a
  • First-order approximation
  • Local linear behavior

Applications

  1. Estimation

    • Quick calculations
    • Error bounds
    • Near-point values
    • Complex functions
  2. Error Analysis

    • Maximum error
    • Interval of accuracy
    • Improvement methods
    • Tolerance levels

5. Optimization ๐Ÿ“ˆ

Understanding Optimization

Finding maximum or minimum values in real-world situations.

Finding Extrema

Process

  1. Identify Variables

    • What changes
    • What's constrained
    • What to optimize
    • Relationship between variables
  2. Write Equation

    • Express goal in terms of one variable
    • Use constraints
    • Simplify if possible
    • Check units
  3. Find Critical Points

    • Set derivative = 0
    • Find undefined points
    • Check endpoints
    • List all candidates
  4. Test Points

    • First derivative test
    • Second derivative test
    • Endpoint comparison
    • Verify answer makes sense

Testing Methods

First Derivative Test

  • f'(x) changes - to + : Local minimum
  • f'(x) changes + to - : Local maximum
  • Check behavior around critical points
  • Consider domain restrictions

Second Derivative Test

  • fโ€(x) > 0 : Local minimum
  • fโ€(x) < 0 : Local maximum
  • fโ€(x) = 0 : Inconclusive
  • More efficient but not always applicable

Common Applications

  1. Geometric

    • Maximum area
    • Minimum perimeter
    • Optimal volume
    • Best dimensions
  2. Business

    • Maximum profit
    • Minimum cost
    • Optimal production
    • Best pricing
  3. Physics

    • Minimal time
    • Maximum distance
    • Optimal angle
    • Energy efficiency

๐Ÿ“ AP-Style Examples

Example 1: Chain Rule

Find ddx[sinโก(e2x)]\frac{d}{dx}[\sin(e^{2x})]

Solution:

  1. Outer function: sin
  2. Inner function: e2xe^{2x}
  3. fโ€ฒ(x)=cosโก(e2x)โ‹…e2xโ‹…2f'(x) = \cos(e^{2x}) \cdot e^{2x} \cdot 2
  4. fโ€ฒ(x)=2e2xcosโก(e2x)f'(x) = 2e^{2x}\cos(e^{2x})

A spherical balloon expands at 2 cmยณ/s. How fast is the radius increasing when r = 5 cm?

Solution:

  1. Volume formula: V = 4/3ฯ€rยณ
  2. Differentiate: dV/dt = 4ฯ€rยฒยทdr/dt
  3. Substitute: 2 = 4ฯ€(5)ยฒยทdr/dt
  4. Solve for dr/dt

๐Ÿ’ก Success Strategies

1. Choosing the Right Rule

  • Multiple terms โ†’ Sum/Difference Rule
  • Multiplication โ†’ Product Rule
  • Division โ†’ Quotient Rule
  • Composition โ†’ Chain Rule

2. Common Mistakes

  • Forgetting chain rule
  • Product vs. power rule confusion
  • Sign errors in quotient rule
  • Missing terms in product rule

3. Calculator Tips

  • Check with numerical derivative
  • Graph to verify reasonableness
  • Use for complex calculations
  • Verify critical points

๐Ÿ” AP Exam Focus

Free Response Tips

  1. Show all work

    • Rule identification
    • Step-by-step process
    • Final simplification
  2. Common Questions

    • Related rates
    • Optimization
    • Chain rule applications
    • Motion problems

Multiple Choice Strategy

  1. Consider

    • Basic vs. advanced rules
    • Multiple approaches
    • Common derivatives
  2. Check

    • Units
    • Sign
    • Domain restrictions

๐Ÿ’ก Pro Tip: Mastering differentiation rules is crucial - they're the foundation for most calculus applications!

ยฉ 2025 All rights reservedBuilt with Flowershow Cloud

Built with LogoFlowershow Cloud