4.1 – Extreme Values of Functions

Slides:



Advertisements
Similar presentations
3.1 Extrema On An Interval.
Advertisements

4.1 Maximum and Minimum Values
Chapter 3 Application of Derivatives
4.1 – Extreme Values of Functions
Maximum and Minimum Values
Extrema on an interval (3.1) November 15th, 2012.
Unit 11 – Derivative Graphs Section 11.1 – First Derivative Graphs First Derivative Slope of the Tangent Line.
MAT 1234 Calculus I Section 3.1 Maximum and Minimum Values
4.1 Maximum and Minimum Values. Maximum Values Local Maximum Absolute Maximum |c2|c2 |c1|c1 I.
Maximum and Minimum. Absolute Maximum or Minimum A function f has an absolute maximum at c if f(c)≥f(x) for all x in the domain. The number f(c) is called.
Copyright © 2008 Pearson Education, Inc. Publishing as Pearson Addison-Wesley Absolute Extrema OBJECTIVES  Find absolute extrema using Maximum- Minimum.
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.
Section 5.1 – Increasing and Decreasing Functions The First Derivative Test (Max/Min) and its documentation 5.2.
 Exploration:  Sketch a rectangular coordinate plane on a piece of paper.  Label the points (1, 3) and (5, 3).  Draw the graph of a differentiable.
The Shape of the Graph 3.3. Definition: Increasing Functions, Decreasing Functions Let f be a function defined on an interval I. Then, 1.f increases on.
Section 4.3b. Do Now: #30 on p.204 (solve graphically) (a) Local Maximum at (b) Local Minimum at (c) Points of Inflection:
Problem of the Day (Calculator allowed)
Applications of Derivatives
Increasing/ Decreasing
4.1 Extreme Values of Function Calculus. Extreme Values of a function are created when the function changes from increasing to decreasing or from decreasing.
In the past, one of the important uses of derivatives was as an aid in curve sketching. We usually use a calculator of computer to draw complicated graphs,
4.2 Critical Points Fri Dec 11 Do Now Find the derivative of each 1) 2)
MTH 251 – Differential Calculus Chapter 4 – Applications of Derivatives Section 4.1 Extreme Values of Functions Copyright © 2010 by Ron Wallace, all rights.
Determine where a function is increasing or decreasing When determining if a graph is increasing or decreasing we always start from left and use only the.
4.2 Critical Points Mon Oct 19 Do Now Find the derivative of each 1) 2)
Section 4.1 Maximum and Minimum Values
If f(x) is a continuous function on a closed interval x ∈ [a,b], then f(x) will have both an Absolute Maximum value and an Absolute Minimum value in the.
Copyright © Cengage Learning. All rights reserved.
3.1 Extrema On An Interval.
Announcements Topics: Work On:
Table of Contents 21. Section 4.3 Mean Value Theorem.
4.3 Using Derivatives for Curve Sketching.
Chapter 5.
Lesson 4-QR Quiz 1 Review.
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.
Extreme Values of Functions
EXTREMA and average rates of change
Kuan Liu, Ryan Park, Nathan Saedi, Sabrina Sauri & Ellie Tsang
Absolute Extrema Lesson 6.1.
The mileage of a certain car can be approximated by:
Objectives for Section 12.5 Absolute Maxima and Minima
4.1. EXTREMA OF functions Rita Korsunsky.
4.1 Extreme Values on Functions
3.2: Extrema and the First Derivative Test
TOPICS ON CHAPTER 4 TEST: 1
Extreme Values of Functions
Extrema on an Interval Rizzi – Calc BC.
Application of Derivative in Analyzing the Properties of Functions
Self Assessment 1. Find the absolute extrema of the function
Critical Points and Extrema
5.2 Section 5.1 – Increasing and Decreasing Functions
Packet #17 Absolute Extrema and the Extreme Value Theorem
EXTREMA ON AN INTERVAL Section 3.1.
58 – First Derivative Graphs Calculator Required
Rolle's Theorem Objectives:
Applications of Differentiation 3.
Rolle’s Theorem and the Mean Value Theorem
Derivatives and Graphing
Maximum and Minimum Values
Maximum and Minimum Values
APPLICATIONS OF DERIVATIVES
Warm up  .
Rolle’s Theorem and the Mean Value Theorem
Mindjog Find the domain of each function..
Extreme values of functions
Unit 4: Applications of Derivatives
Copyright © Cengage Learning. All rights reserved.
Chapter 4 Graphing and Optimization
Maximum and Minimum Values
Presentation transcript:

4.1 – Extreme Values of Functions Extreme Values of a function are created when the function changes from increasing to decreasing or from decreasing to increasing Extreme value  increasing decreasing decreasing increasing  Extreme value Extreme value Extreme value Extreme value inc dec inc dec inc dec dec Extreme value Extreme value

4.1 – Extreme Values of Functions Classifications of Extreme Values Absolute Minimum – the smallest function value in the domain Absolute Maximum – the largest function value in the domain Local Minimum – the smallest function value in an open interval in the domain Local Maximum – the largest function value in an open interval in the domain Absolute Maximum Local Maximum Local Minimum Absolute Minimum Absolute Minimum Local Maximum Absolute Maximum Local Maximum Local Maximum Local Maximum Local Minimum Local Minimum Local Minimum Local Minimum

4.1 – Extreme Values of Functions Definitions: Absolute Minimum at c c Absolute Minimum – occurs at a point c if 𝑓(𝑐)≤𝑓(𝑥) for x all values in the domain. Absolute Maximum at c c Absolute Maximum – occurs at a point c if 𝑓 𝑐 ≥𝑓(𝑥) for all x values in the domain. Local Minimum at c c a b Local Minimum – occurs at a point c in an open interval, (𝑎,𝑏), in the domain if 𝑓(𝑐)≤𝑓(𝑥) for all x values in the open interval. Local Maximum at c c a b Local Maximum – occurs at a point c in an open interval, (𝑎,𝑏), in the domain if 𝑓(𝑐)≥𝑓(𝑥) for all x values in the open interval.

4.1 – Extreme Values of Functions The Extreme Value Theorem (Max-Min Existence Theorem) If a function is continuous on a closed interval, [a, b], then the function will contain both an absolute maximum value and an absolute minimum value. 𝑓(𝑎) 𝑓(𝑏) 𝑓(𝑐) a c b Absolute maximum value: f(a) Absolute minimum value: f(c)

4.1 – Extreme Values of Functions The Extreme Value Theorem (Max-Min Existence Theorem) If a function is continuous on a closed interval, [a, b], then the function will contain both an absolute maximum value and an absolute minimum value. 𝑓(𝑐) 𝑓(𝑏) 𝑓(𝑎) 𝑓(𝑑) a c d b Absolute maximum value: f(c) Absolute minimum value: f(d)

4.1 – Extreme Values of Functions The Extreme Value Theorem (Max-Min Existence Theorem) If a function is continuous on a closed interval, [a, b], then the function will contain both an absolute maximum value and an absolute minimum value. a b d 𝑓(𝑏) 𝑓(𝑑) c 𝑓(𝑎) F is not continuous at c. 𝑓 𝑐 : 𝐷𝑁𝐸 Theorem does not apply. Absolute maximum value: none Absolute minimum value: f(d)

4.1 – Extreme Values of Functions The Extreme Value Theorem (Max-Min Existence Theorem) If a function is continuous on a closed interval, [a, b], then the function will contain both an absolute maximum value and an absolute minimum value. a b d 𝑓(𝑏) 𝑓(𝑑) c 𝑓(𝑎)  𝑓 𝑐 F is not continuous at c. Theorem does not apply. Absolute maximum value: f(c) Absolute minimum value: f(d)

4.1 – Extreme Values of Functions The First Derivative Theorem for Local Extreme Values If a function has a local maximum or minimum value at a point (c) in the domain and the derivative is defined at that point, then 𝑓 𝑐 =0. Slope of the tangent line at c is zero. 𝑓 𝑐 >0 𝑓 𝑐 <0 𝑓 𝑐 =0 c c 𝑓 𝑐 >0 𝑓 𝑐 <0

4.1 – Extreme Values of Functions Critical Points If a function has an extreme value, then the value of the domain at which it occurs is defined as a critical point. Three Types of Critical Points 1 𝐸𝑛𝑑𝑝𝑜𝑖𝑛𝑡𝑠 𝑜𝑓 𝑎𝑛 𝑖𝑛𝑡𝑒𝑟𝑣𝑎𝑙 2 𝑆𝑡𝑎𝑡𝑖𝑜𝑛𝑎𝑟𝑦 𝑃𝑜𝑖𝑛𝑡𝑠: 𝑓 𝑐 =0 3 𝑆𝑖𝑛𝑔𝑢𝑙𝑎𝑟 𝑃𝑜𝑖𝑛𝑡𝑠: 𝑓 𝑐 𝑑𝑜𝑒𝑠 𝑛𝑜𝑡 𝑒𝑥𝑖𝑠𝑡 (1) (2) (2) (3) (2) (2) (1)

4.1 – Extreme Values of Functions Which table best describes the graph? a b c d Table A Table B Table C 𝒙 𝒇(𝒙) a 27 b c d -5 𝒙 𝒇(𝒙) a -30 b 5 c d -7 𝒙 𝒇(𝒙) a -22 b c d -9

4.1 – Extreme Values of Functions Graph the function. State the location(s) of any absolute extreme values, if applicable. Does the Extreme Value Theorem apply? 𝑓 𝑥 = 1 𝑥 𝑖𝑓 −1≤𝑥<0 𝑥 𝑖𝑓 0≤𝑥≤4 -1 4 No absolute minimum Absolute maximum at x = 4 The Extreme Value Theorem does not apply The function is not continuous at x = 0.

4.1 – Extreme Values of Functions Graph the function. Calculate any absolute extreme values, if applicable. Plot them on the graph and state the coordinates. 𝑓 𝑥 =− 1 𝑥 −2≤𝑥≤−1 𝑓 𝑥 =− 𝑥 −1 𝑓 𝑥 = 𝑥 −2 = 1 𝑥 2 (−1, 1) 𝑓 𝑥 ≠0 (−2, 1 2 ) 𝑓 𝑥 𝑖𝑠 𝑢𝑛𝑑𝑒𝑓𝑖𝑛𝑒𝑑 𝑎𝑡 𝑥=0 -2 -1 𝑥=0 𝑖𝑠 𝑛𝑜𝑡 𝑎 𝑐𝑟𝑖𝑡𝑖𝑐𝑎𝑙 𝑝𝑜𝑖𝑛𝑡; 𝑛𝑜𝑡 𝑖𝑛 [−2,−1] Critical points 𝑥=−2, −1 𝑓(−2)= 1 2 Absolute minimum 𝑓(−1)=1 Absolute maximum

4.1 – Extreme Values of Functions Calculate any absolute extreme values. State their identities and coordinates. 𝑓 𝑥 = 𝑥+1 𝑥 2 +2𝑥+2 𝑓 𝑥 = (𝑥 2 +2𝑥+2) 1 −(𝑥+1)(2𝑥+2) ( 𝑥 2 +2𝑥+2) 2 𝑓 𝑥 = −𝑥 2 −2𝑥 ( 𝑥 2 +2𝑥+2) 2 = −𝑥(𝑥+2) ( 𝑥 2 +2𝑥+2) 2 Critical points 𝑓 −2 =−0.5 Absolute minimum 𝑓 𝑥 =0 (−2, −0.5) 𝑥=−2, 0 𝐼𝑠 𝑓 𝑥 𝑢𝑛𝑑𝑒𝑓𝑖𝑛𝑒𝑑? 𝑓 0 =0.5 Absolute maximum 𝑥 2 +2𝑥+2=0 (0, 0.5) 𝑥= −2± 2 2 −4(1)(2) 2(1) 𝑛𝑜 𝑟𝑒𝑎𝑙 𝑠𝑜𝑙𝑢𝑡𝑖𝑜𝑛𝑠

4.2 – The Mean Value Theorem Rolle’s Theorem A function is given that is continuous on every point of a closed interval,[a, b], and it is differentiable on every point of the open interval (a, b). If 𝑓 𝑎 =𝑓(𝑏), then there exists at least one value in the open interval,(a, b), where 𝑓 𝑐 =0. 𝑓 𝑐 =0 𝑠𝑙𝑜𝑝𝑒 𝑠𝑒𝑔𝑚𝑒𝑛𝑡 𝑎𝑏 = 𝑓 𝑏 −𝑓(𝑎) 𝑏−𝑎 = 0 𝑏−𝑎 =0 𝑓 𝑎 =𝑓(𝑏) 𝑠𝑙𝑜𝑝𝑒 𝑡𝑎𝑛𝑔𝑒𝑛𝑡 @ 𝑐 =0 a c b 𝑓 𝑐 =0

4.2 – The Mean Value Theorem Rolle’s Theorem A function is given that is continuous on every point of a closed interval,[a, b], and it is differentiable on every point of the open interval (a, b). If 𝑓 𝑎 =𝑓(𝑏), then there exists at least one value in the open interval,(a, b), where 𝑓 𝑐 =0. 𝑓 𝑐 =0 𝑠𝑙𝑜𝑝𝑒 𝑠𝑒𝑔𝑚𝑒𝑛𝑡 𝑎𝑏 = 𝑓 𝑏 −𝑓(𝑎) 𝑏−𝑎 = 0 𝑏−𝑎 =0 𝑓 𝑎 =𝑓(𝑏) 𝑓 𝑑 =0 𝑠𝑙𝑜𝑝𝑒 𝑡𝑎𝑛𝑔𝑒𝑛𝑡 @ 𝑐 =0 𝑠𝑙𝑜𝑝𝑒 𝑡𝑎𝑛𝑔𝑒𝑛𝑡 @ 𝑑 =0 a c d b 𝑓 𝑐 =0 𝑓 𝑑 =0

4.2 – The Mean Value Theorem A function is given that is continuous on every point of a closed interval,[a, b], and it is differentiable on every point of the open interval (a, b). If 𝑓 𝑎 =𝑓(𝑏), then there exists at least one value (c) in the open interval,(a, b), where 𝑓 𝑏 −𝑓(𝑎) 𝑏−𝑎 =𝑓 𝑐 . 𝑓 𝑐 = 𝑓 𝑏 −𝑓(𝑎) 𝑏−𝑎 𝑠𝑙𝑜𝑝𝑒 𝑠𝑒𝑔𝑚𝑒𝑛𝑡 𝑎𝑏 = 𝑓 𝑏 −𝑓(𝑎) 𝑏−𝑎 𝑓(𝑏) 𝑠𝑙𝑜𝑝𝑒 𝑡𝑎𝑛𝑔𝑒𝑛𝑡 @ 𝑐 =𝑓(𝑐) 𝑓 𝑎 𝑓 𝑐 = 𝑓 𝑏 −𝑓(𝑎) 𝑏−𝑎 a c b

4.2 – The Mean Value Theorem A function is given that is continuous on every point of a closed interval,[a, b], and it is differentiable on every point of the open interval (a, b). If 𝑓 𝑎 =𝑓(𝑏), then there exists at least one value (c) in the open interval,(a, b), where 𝑓 𝑏 −𝑓(𝑎) 𝑏−𝑎 =𝑓 𝑐 . 𝑠𝑙𝑜𝑝𝑒 𝑠𝑒𝑔𝑚𝑒𝑛𝑡 𝑎𝑏 = 𝑓 𝑏 −𝑓(𝑎) 𝑏−𝑎 𝑓(𝑎) 𝑠𝑙𝑜𝑝𝑒 𝑡𝑎𝑛𝑔𝑒𝑛𝑡 @ 𝑐 =𝑓(𝑐) 𝑓(𝑏) 𝑓 𝑐 = 𝑓 𝑏 −𝑓(𝑎) 𝑏−𝑎 a c d b 𝑠𝑙𝑜𝑝𝑒 𝑡𝑎𝑛𝑔𝑒𝑛𝑡 @ 𝑑 =𝑓(𝑑) 𝑓 𝑑 = 𝑓 𝑏 −𝑓(𝑎) 𝑏−𝑎

4.2 – The Mean Value Theorem Find the values of x that satisfy the Mean Value Theorem: 𝑓 𝑥 = 𝑥−1 [1, 3] 𝑓 𝑏 −𝑓(𝑎) 𝑏−𝑎 =𝑓 𝑥 𝑠𝑙𝑜𝑝𝑒 𝑠𝑒𝑐𝑎𝑛𝑡 𝑙𝑖𝑛𝑒 = 𝑓 3 −𝑓(1) 3−1 𝑠𝑙𝑜𝑝𝑒 𝑠𝑒𝑐𝑎𝑛𝑡 𝑙𝑖𝑛𝑒 = 2 2 𝑓 𝑥 = (𝑥−1) 1 2 𝑓 𝑥 = 1 2 𝑥−1 − 1 2 (1) 𝑓 𝑥 = 1 2 (𝑥−1) 1 2 = 1 2 𝑥−1 2 2 = 1 2 𝑥−1  2 2 𝑥−1 =2 𝑥−1 = 1 2 2 𝑥−1 =1  𝑥−1= 1 2 𝑥= 3 2 