Derivatives & Applications Study Guide | EverExams.com

Derivatives & Applications Study Guide

Master differentiation, rate of change, and optimization with this comprehensive guide
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Introduction to Derivatives

This study guide covers the fundamental concepts of derivatives, differentiation, and their applications as outlined in Chapter 2. Understanding derivatives is essential for studying rates of change, optimization, and many real-world applications.

What is a Derivative?

The derivative measures how a function changes as its input changes. It represents the instantaneous rate of change or the slope of the tangent line at a point.

Memory Tip:

Derivative = Instantaneous rate of change = Slope of tangent line

Historical Context

The concept of derivatives was independently developed by Sir Isaac Newton and Gottfried Wilhelm Leibniz in the 17th century.

Notation:

Newton: ẏ (y-dot)
Leibniz: dy/dx
Lagrange: f'(x)
Cauchy: Df(x)

Real-World Applications

• Velocity = derivative of position
• Acceleration = derivative of velocity
• Marginal cost in economics
• Rate of chemical reactions

Application:

Derivatives help us understand how things change in the real world.

Key Definition: The derivative of f at x, denoted f'(x), is defined as:

f'(x) = limh→0 [f(x+h) – f(x)]/h

This is called differentiation from first principles or by definition.

Rates of Change

Average Rate of Change

The average rate of change of f(x) over the interval [x₁, x₂] is:

[f(x₂) – f(x₁)] / (x₂ – x₁)

This represents the slope of the secant line through points (x₁, f(x₁)) and (x₂, f(x₂)).

Memory Trick:

Average rate = (Change in y) / (Change in x) = Δy/Δx

Instantaneous Rate of Change (Derivative)

The instantaneous rate of change at x = a is:

f'(a) = limh→0 [f(a+h) – f(a)]/h

This represents the slope of the tangent line at x = a.

Example: If f(x) = x², find the average rate of change over [1, 3] and instantaneous rate at x = 2.

Solution:

Average rate = [f(3)-f(1)]/(3-1) = (9-1)/2 = 4

Instantaneous rate: f'(x) = 2x, so f'(2) = 4

Geometric Interpretation

Tangent Line

The derivative f'(a) gives the slope of the tangent line to the curve y = f(x) at x = a.

Equation:

Tangent line: y – f(a) = f'(a)(x – a)

Secant vs Tangent

Secant line connects two points on the curve. As the points get closer, the secant approaches the tangent line.

Visual:

Think of zooming in on a curve until it looks like a straight line – that’s the tangent!

Differentiation

First Principles (Definition)

The derivative from first principles:

f'(x) = limh→0 [f(x+h) – f(x)]/h
4-Step Process:

1. Find f(x+h)
2. Compute f(x+h) – f(x)
3. Divide by h
4. Take limit as h→0

Differentiability and Continuity

Key Relationship

If f is differentiable at x = a, then f is continuous at x = a.

But the converse is not true! A function can be continuous but not differentiable.

Non-Differentiable Points

A function may not be differentiable at:

  • Corners or cusps
  • Vertical tangents
  • Discontinuities
Example:

f(x) = |x| is not differentiable at x = 0 (corner)

Standard Derivatives (Basic Functions)

Function Derivative Domain Condition
f(x) = c (constant) f'(x) = 0 All real numbers
f(x) = xⁿ f'(x) = nxⁿ⁻¹ All real numbers (for integer n)
f(x) = eˣ f'(x) = eˣ All real numbers
f(x) = aˣ f'(x) = aˣ ln a All real numbers (a>0, a≠1)
f(x) = ln x f'(x) = 1/x x > 0
f(x) = logₐx f'(x) = 1/(x ln a) x > 0, a>0, a≠1
Power Rule Memory Trick:

“Bring down the power, reduce power by 1”

Differentiation Rules

Basic Rules

Constant Multiple Rule
d/dx [c·f(x)] = c·f'(x)

Constants come out front when differentiating.

Sum/Difference Rule
d/dx [f(x) ± g(x)] = f'(x) ± g'(x)

Derivative of sum = sum of derivatives.

Product Rule

d/dx [f(x)·g(x)] = f'(x)·g(x) + f(x)·g'(x)
Memory Trick:

“Derivative of first times second, plus first times derivative of second”

Quotient Rule

d/dx [f(x)/g(x)] = [f'(x)·g(x) – f(x)·g'(x)] / [g(x)]²
Memory Trick:

“Low d-high minus high d-low, over low squared”
(Low = denominator, High = numerator)

Chain Rule

d/dx [f(g(x))] = f'(g(x)) · g'(x)

Or in Leibniz notation: dy/dx = dy/du · du/dx

Memory Trick:

“Derivative of outside (keeping inside same) times derivative of inside”

Trigonometric Derivatives

Function Derivative
sin x cos x
cos x -sin x
tan x sec² x
cot x -csc² x
sec x sec x tan x
csc x -csc x cot x
Memory Trick for trig derivatives:

The derivatives of “co-” functions (cos, cot, csc) start with a negative sign.

Inverse Trigonometric Derivatives

Important Formulas

d/dx (sin⁻¹x) = 1/√(1-x²)

d/dx (cos⁻¹x) = -1/√(1-x²)

d/dx (tan⁻¹x) = 1/(1+x²)

Memory Aid

For sin⁻¹x and cos⁻¹x: denominator is √(1-x²)

For tan⁻¹x and cot⁻¹x: denominator is 1+x²

cos⁻¹x, cot⁻¹x, csc⁻¹x have negative derivatives

Logarithmic Differentiation

Useful for functions of the form f(x) = u(x)^(v(x)) or products of many functions.

Steps:

1. Take ln of both sides
2. Use log properties to simplify
3. Differentiate implicitly
4. Solve for dy/dx

Implicit Differentiation

When y is not explicitly expressed as a function of x:

Method:

1. Differentiate both sides with respect to x
2. Remember: d/dx (y) = dy/dx
3. Solve for dy/dx

Parametric Differentiation

If x = f(t) and y = g(t), then:

dy/dx = (dy/dt) / (dx/dt)

Applications of Derivatives

Increasing and Decreasing Functions

Increasing Function

f is increasing on interval I if f'(x) > 0 for all x in I.

Graph rises as x increases.

Decreasing Function

f is decreasing on interval I if f'(x) < 0 for all x in I.

Graph falls as x increases.

Critical Points

A critical point occurs where f'(x) = 0 or f'(x) does not exist.

Critical points are candidates for local maxima or minima.

Types of Critical Points:

• Stationary point: f'(x) = 0
• Corner/cusp: f'(x) doesn’t exist
• Vertical tangent: f'(x) = ∞

First Derivative Test

To classify critical points:

Method:

1. Find critical points (where f'(x)=0 or DNE)
2. Check sign of f'(x) on either side:
  • f’ changes + to – → local maximum
  • f’ changes – to + → local minimum
  • f’ doesn’t change sign → neither

Second Derivative Test

At a point where f'(c) = 0:

Test:

• If f”(c) > 0 → local minimum
• If f”(c) < 0 → local maximum
• If f”(c) = 0 → test inconclusive (use first derivative test)

Concavity and Points of Inflection

Concave Up

f”(x) > 0 → graph curves upward

Tangent lines lie below the graph

Concave Down

f”(x) < 0 → graph curves downward

Tangent lines lie above the graph

Point of Inflection

Where concavity changes (f”(x) changes sign)

f”(x) = 0 or f”(x) doesn’t exist

Optimization Problems

Finding maximum or minimum values of a function.

Steps for Optimization:

1. Understand the problem
2. Draw diagram if helpful
3. Write equation for quantity to optimize
4. Reduce to single variable if needed
5. Find critical points
6. Use first or second derivative test
7. Check endpoints if domain is closed interval

Related Rates

Finding rate of change of one quantity knowing rate of change of related quantity.

Strategy:

1. Identify variables and rates
2. Write equation relating variables
3. Differentiate with respect to time (t)
4. Substitute known values
5. Solve for unknown rate

Higher Order Derivatives

Successive differentiation:

f”(x) = d²y/dx², f”'(x) = d³y/dx³, f⁽ⁿ⁾(x) = dⁿy/dxⁿ

Applications:

Series Expansions

Maclaurin Series

f(x) = f(0) + f'(0)x + f”(0)x²/2! + f”'(0)x³/3! + …

Expansion about x = 0

Taylor Series

f(x) = f(a) + f'(a)(x-a) + f”(a)(x-a)²/2! + …

Expansion about x = a

50 MCQ Quiz on Derivatives & Applications

Test your knowledge with these 50 multiple choice questions. Select your answer and check the explanation.

Quiz Results

Your Score: 0/50

Answer Key

Study Guidelines for Students

Effective Study Strategies

1. Master Differentiation Rules

• Memorize basic derivative formulas
• Practice product, quotient, and chain rules
• Work with trigonometric and exponential functions

Tip:

Create flashcards for derivative formulas and practice daily.

2. Understand Applications

• Connect derivatives to real-world problems
• Practice optimization and related rates
• Interpret graphs using derivatives

Tip:

For each application, ask: “What does the derivative represent here?”

3. Solve Variety of Problems

• Work implicit differentiation problems
• Practice logarithmic differentiation
• Solve parametric and higher-order derivatives

Tip:

Start with simple problems and gradually increase difficulty.

Common Pitfalls to Avoid

Exam Strategy:

1. Read each question carefully
2. Identify which rule(s) to apply
3. Check your work by differentiating again
4. Verify domain restrictions
5. For applications, include units in final answer

Recommended Practice Schedule

Week 1: Basics

• Limit definition of derivative
• Power rule and basic derivatives
• Sum/difference and constant multiple rules

Week 2: Advanced Rules

• Product and quotient rules
• Chain rule and composite functions
• Trigonometric derivatives

Week 3: Special Techniques

• Implicit differentiation
• Logarithmic differentiation
• Parametric differentiation

Week 4: Applications

• Increasing/decreasing functions
• Maxima and minima problems
• Related rates and optimization

Memory Aids and Mnemonics

Product Rule

“First d-second + second d-first”
Or: “Left d-right + right d-left”

Quotient Rule

“Low d-high minus high d-low, over low squared”
Or: “Bottom d-top minus top d-bottom, over bottom squared”

Chain Rule

“Derivative of outside (inside unchanged) times derivative of inside”
Or: “Work from outside in”

Final Advice: Derivatives are the foundation of calculus. Master these concepts thoroughly, as they will be used extensively in integration, differential equations, and advanced mathematics. Practice regularly, understand the “why” behind each rule, and don’t hesitate to revisit fundamentals when needed.