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Graphs of Functions & Their Derivatives

Sarah Miller

Sarah Miller

7 min read

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Study Guide Overview

This study guide covers local and global extrema, focusing on the identification and classification of critical points. It explains the different types of critical points: local minimums and maximums, points of inflection, and points where the derivative is undefined. Examples of finding critical points for polynomial and root functions are provided, along with practice questions and exam strategies.

Study Notes: Local Extrema versus Global Extrema

Table of Contents

  1. Introduction
  2. Local Extrema vs. Global Extrema
  3. Critical Points
  4. Practice Questions
  5. Glossary
  6. Summary and Key Takeaways
  7. Exam Strategy

Introduction

In calculus, understanding the concepts of local and global extrema and critical points is essential for analyzing and interpreting the behavior of functions. This guide will help you distinguish between these concepts, identify critical points, and apply this knowledge effectively in exams.

Local Extrema vs. Global Extrema

Definitions

  • Extrema: Refers to the maximum and minimum points on the graph of a function.
  • Global (Absolute) Extrema: The highest (maximum) or lowest (minimum) value of the function over its entire domain.
  • Local (Relative) Extrema: The highest or lowest value of the function within a specific interval of the domain.
Key Concept

Global extrema are the absolute highest or lowest points of a function over its entire domain, while local extrema are the highest or lowest points within a specific interval.

Consider the function f(x)=x33x2+4f(x) = x^3 - 3x^2 + 4: - The global minimum occurs at x=x = -\infty. - The local minima and maxima occur at points where the function's derivative equals zero.
Exam Tip

Remember that every global extremum is also a local extremum, but not all local extrema are global extrema.

Examples

Here are some illustrative examples to clarify the concepts:

  1. Global Maximum: The highest point on the entire graph.
  2. Local Maximum: A peak within a specific interval but not necessarily the highest point overall.
  3. Global Minimum: The lowest point on the entire graph.
  4. Local Minimum: A trough within a specific interval but not necessarily the lowest point overall.

Critical Points

Definition

A critical point is a point on the graph of a function where the first derivative is either zero or does not exist, provided the function itself is defined at that point.

Key Concept

All local extrema occur at critical points, but not all critical points are local extrema.

Types of Critical Points

Local Minimums and Maximums

  • At local minimums and maximums, the derivative is equal to zero: f(x)=0f'(x) = 0
  • The tangent line at these points is horizontal.
  • These points can also be global extrema.
For y=(x2)2y = (x - 2)^2: - The local minimum at (2,0)(2, 0) is also the global minimum.

Points of Inflection

  • A point of inflection is where the graph changes concavity.
  • Points of inflection are not local extrema.
  • Only points of inflection where the first derivative is zero are critical points.
Common Mistake

Do not confuse points of inflection with local extrema. Points of inflection indicate a change in concavity, not a maximum or minimum.

For y=x3y = x^3, the point (0,0)(0,0) is a point of inflection with the first derivative equal to zero.

Non-Existent Derivative Points

  • Critical points also occur where the derivative does not exist, provided the function is defined at that point.
  • Consider g(x)=x1/3g(x) = x^{1/3}: The function is defined at x=0x=0, but the derivative does not exist there, making x=0x=0 a critical point.
For f(x)=(x2)1/3f(x) = (x - 2)^{1/3}: - The function is defined at x=2x=2, but the derivative does not exist, making x=2x=2 a critical point.

Worked Examples

Example 1: Polynomial Function

Problem: Find the coordinates of the critical points on the graph of the function f(x)=4x330x2+48x+3f(x) = 4x^3 - 30x^2 + 48x + 3.

Solution:

  1. Differentiate the function: f(x)=12x260x+48f'(x) = 12x^2 - 60x + 48
  2. Set the derivative equal to zero: 12x260x+48=012x^2 - 60x + 48 = 0 x25x+4=0x^2 - 5x + 4 = 0 (x4)(x1)=0(x - 4)(x - 1) = 0
  3. Solve for xx: x=4orx=1x = 4 \quad \text{or} \quad x = 1
  4. Find the corresponding yy values: f(1)=25f(1) = 25 f(4)=29f(4) = -29

Critical Points: (1,25)(1, 25) and (4,29)(4, -29)

Example 2: Root Function

Problem: Find the coordinates of the critical points on the graph of the function g(x)=(x3)2/3g(x) = (x - 3)^{2/3}.

Solution:

  1. Differentiate the function: g(x)=23(x3)1/3=23(x3)1/3g'(x) = \frac{2}{3}(x - 3)^{-1/3} = \frac{2}{3(x - 3)^{1/3}}
  2. Identify points where the derivative is zero or undefined:
    • The derivative is undefined at x=3x = 3.
  3. Check if the function is defined at x=3x = 3: g(3)=0g(3) = 0

Critical Point: (3,0)(3, 0)


Practice Questions

Multiple Choice

  1. What is a critical point of a function?

    • A) A point where the second derivative is zero
    • B) A point where the first derivative is zero or does not exist
    • C) A point where the function is not defined
  2. Which of the following is true about local extrema?

    • A) All local extrema are global extrema.
    • B) All global extrema are local extrema.
    • C) Local extrema occur only at the endpoints of the domain.

Short-Answer

  1. Find the critical points of the function h(x)=x44x3+6x2h(x) = x^4 - 4x^3 + 6x^2.
  2. Determine if the critical point x=0x = 0 for the function k(x)=x2/3k(x) = x^{2/3} is a local extremum.

Glossary

  • Extrema: Maximum and minimum points on the graph of a function.
  • Global (Absolute) Extrema: The overall highest or lowest points of the function.
  • Local (Relative) Extrema: The highest or lowest points within a specific interval.
  • Critical Point: A point where the first derivative is zero or does not exist.
  • Point of Inflection: A point where the graph changes concavity.

Summary and Key Takeaways

  • Extrema: Understand the difference between local and global extrema.
  • Critical Points: Know how to identify and classify critical points.
  • Types of Critical Points: Distinguish between local minima, maxima, and points of inflection.
  • Worked Examples: Practice finding critical points with polynomial and root functions.
Key Concept

Critical points are essential in determining the local and global behavior of functions. Mastering these concepts will aid in solving optimization problems and understanding function behavior.


Exam Strategy

  • Identify Critical Points: Always start by finding where the first derivative is zero or undefined.
  • Analyze Behavior: Use the second derivative test or concavity to determine the nature of critical points.
  • Check Endpoints: For global extrema, always consider the endpoints of the domain if they exist.
  • Practice: Regularly solve different types of problems to become proficient in identifying and analyzing critical points.
Exam Tip

Always verify if a function is defined at a point where the derivative does not exist before considering it a critical point.


By understanding and applying these concepts, you will be well-prepared to tackle questions involving local and global extrema and critical points in your exams. Keep practicing, and use these strategies to boost your confidence and performance.

Question 1 of 10

What's the difference between a local and a global maximum? 🤔

A local maximum is always the highest point on the entire graph

A global maximum is the highest point within a specific interval

A global maximum is the absolute highest point on the entire graph, while a local maximum is a peak within a specific interval

They are the same thing