Extreme Values of Functions

Slides:



Advertisements
Similar presentations
4.4 Optimization Buffalo Bills Ranch, North Platte, Nebraska Created by Greg Kelly, Hanford High School, Richland, Washington Revised by Terry Luskin,
Advertisements

Extreme Values of Functions
4.1 Maximum and Minimum Values
Chapter 3 Application of Derivatives
4.1 Extreme Values of Functions Greg Kelly, Hanford High School, Richland, Washington Borax Mine, Boron, CA Photo by Vickie Kelly, 2004.
4.1 Extreme Values of Functions. The textbook gives the following example at the start of chapter 4: The mileage of a certain car can be approximated.
4.1 Extreme Values of Functions Created by Greg Kelly, Hanford High School, Richland, Washington Revised by Terry Luskin, Dover-Sherborn HS, Dover, Massachusetts.
4.1 Maximum and Minimum Values. Maximum Values Local Maximum Absolute Maximum |c2|c2 |c1|c1 I.
Extrema on an Interval 4.1. The mileage of a certain car can be approximated by: At what speed should you drive the car to obtain the best gas mileage?
4.1 Extreme Values of Functions Greg Kelly, Hanford High School, Richland, Washington Borax Mine, Boron, CA Photo by Vickie Kelly, 2004.
The mileage of a certain car can be approximated by: At what speed should you drive the car to obtain the best gas mileage? Of course, this problem isn’t.
Extreme Values of Functions Sec. 4.1 Notes. The textbook gives the following example at the start of chapter 4: The mileage of a certain car can be approximated.
4.1 Extreme Values of Functions Greg Kelly, Hanford High School Richland, Washington.
3.7 Optimization Buffalo Bill’s Ranch, North Platte, Nebraska Greg Kelly, Hanford High School, Richland, WashingtonPhoto by Vickie Kelly, 1999.
Applications of Differentiation Calculus Chapter 3.
The textbook gives the following example at the start of chapter 4: The mileage of a certain car can be approximated by: At what speed should you drive.
Finding the Absolute Extreme Values of Functions
The textbook gives the following example at the start of chapter 4: The mileage of a certain car can be approximated by: At what speed should you drive.
AP CALCULUS AB FINAL REVIEW APPLICATIONS OF THE DERIVATIVE.
Section 4.2: Maximum and Minimum Values Practice HW from Stewart Textbook (not to hand in) p. 276 # 1-5 odd, odd, 35, 37, 39, 43.
4.1 Extreme Values of Functions.
Mean Value Theorem for Derivatives
2.3 The Product and Quotient Rules (Part 1)
3.1 Extrema On An Interval.
Extreme Values of Functions
Increasing/ Decreasing Functions
4.3 Using Derivatives for Curve Sketching.
Mean Value Theorem for Derivatives
3.1 Extrema on an Interval Define extrema of a function on an interval. Define relative extrema of a function on an open interval. Find extrema on a closed.
Using Derivatives to Find Absolute Maximum and Minimum Values
Chapter 3 Applications of Differentiation Maximum Extreme Values
3.8 Derivatives of Inverse Trig Functions
The mileage of a certain car can be approximated by:
Using Derivatives to Find Absolute Maximum and Minimum Values
Optimisation: Extreme Values of Functions
Absolute or Global Maximum Absolute or Global Minimum
3.1 Extreme Values Absolute or Global Maximum
II. differentiable at x = 0 III. absolute minimum at x = 0
AP Calculus AB Chapter 3, Section 1
Extreme Values of Functions
Extreme Values of Functions
Extreme Values of Functions
Mean Value Theorem for Derivatives
4.6 Optimization Buffalo Bill’s Ranch, North Platte, Nebraska
5.3 Inverse Function (part 2)
Extreme Values of Functions
Mean Value Theorem for Derivatives
Extreme Values of Functions
Critical Points and Extrema
Extreme Values of Functions
EXTREMA ON AN INTERVAL Section 3.1.
Mean Value Theorem and Antiderivatives
4.4 Modeling and Optimization
Mean Value Theorem for Derivatives
Mean Value Theorem for Derivatives
5.1 Extreme Values of Functions
Mean Value Theorem for Derivatives
Extreme Values of Functions
Using Derivatives to Find Absolute Maximum and Minimum Values
3-1 Extreme Values of Functions.
Unit 4 Lesson 1: Extreme Values of Functions AP Calculus Mrs. Mongold.
Extreme values of functions
Mean Value Theorem for Derivatives
Minimum and Maximum Values of Functions
Chapter 3 Applications of Differentiation Maximum Extreme Values
Extreme values of functions
Chapter 4 Graphing and Optimization
Maximum and Minimum Values
5.3 Inverse Function (part 2)
Presentation transcript:

Extreme Values of Functions 4.1 Extreme Values of Functions Borax Mine, Boron, CA Photo by Vickie Kelly, 2004 Greg Kelly, Hanford High School, Richland, Washington

Extreme Values of Functions 4.1 Extreme Values of Functions Borax Plant, Boron, CA Photo by Vickie Kelly, 2004 Greg Kelly, Hanford High School, Richland, Washington

Extreme values can be in the interior or the end points of a function. No Absolute Maximum Absolute Minimum

Absolute Maximum Absolute Minimum

Absolute Maximum No Minimum

No Maximum No Minimum

Extreme Value Theorem: If f is continuous over a closed interval, then f has a maximum and minimum value over that interval. Maximum & minimum at interior points Maximum & minimum at endpoints Maximum at interior point, minimum at endpoint

Local Extreme Values: A local maximum is the maximum value within some open interval. A local minimum is the minimum value within some open interval.

Absolute maximum (also local maximum) Local maximum Local minimum Local minimum Local extremes are also called relative extremes. Absolute minimum (also local minimum)

Absolute maximum (also local maximum) Local maximum Local minimum Notice that local extremes in the interior of the function occur where is zero or is undefined.

Local Extreme Values: If a function f has a local maximum value or a local minimum value at an interior point c of its domain, and if exists at c, then

Critical Point: A point in the domain of a function f at which or does not exist is a critical point of f . Note: Maximum and minimum points in the interior of a function always occur at critical points, but critical points are not always maximum or minimum values.

EXAMPLE 3 FINDING ABSOLUTE EXTREMA Find the absolute maximum and minimum values of on the interval . There are no values of x that will make the first derivative equal to zero. The first derivative is undefined at x=0, so (0,0) is a critical point. Because the function is defined over a closed interval, we also must check the endpoints.

At: To determine if this critical point is actually a maximum or minimum, we try points on either side, without passing other critical points. Since 0<1, this must be at least a local minimum, and possibly a global minimum. At: At:

At: To determine if this critical point is actually a maximum or minimum, we try points on either side, without passing other critical points. Absolute minimum: maximum: Since 0<1, this must be at least a local minimum, and possibly a global minimum. At: At:

Absolute maximum (3,2.08) Absolute minimum (0,0)

Finding Maximums and Minimums Analytically: 1 Find the derivative of the function, and determine where the derivative is zero or undefined. These are the critical points. 2 Find the value of the function at each critical point. 3 Find values or slopes for points between the critical points to determine if the critical points are maximums or minimums. 4 For closed intervals, check the end points as well.

Critical points are not always extremes! (not an extreme)

(not an extreme) p