2
Most read
5
Most read
7
Most read
4.1 Extreme Values of Functions
Def :  Absolute  Extreme Values Let  f  be a function with domain D. Then  f (c) is the… a)  Absolute (or global) maximum  value  on D iff  f (x) ≤  f (c) for all x in D. b)  Absolute (or global) minimum  value  on D iff  f (x) ≥  f (c) for all x in D. * Note: The max or min  VALUE  refers to the y value.
Where can absolute extrema occur? * Extrema occur at endpoints or interior points in an interval. * A function does  not  have to have a max or min on an interval. * Continuity affects the existence of extrema. Min Max Min No Max No Max No Min
Thm 1 : Extreme Value Theorem If  f  is continuous on a closed interval [a,b], then  f  has both a maximum value and a minimum value on the interval. * What is the “worst case scenario,” and what happens then?
Def :  Local  Extreme Values Let c be an interior point of the domain of  f . Then  f (c) is a… a)  Local (or relative) maximum  value  at c  iff  f (x) ≤  f (c) for all x in some open interval containing c. b)  Local (or relative) minimum  value  at c iff  f (x) ≥  f (c) for all x in some open interval containing c. * A local extreme value is a max or min in a “neighborhood” of points surrounding c
Identify Absolute and Local Extrema * Local extremes are where f  ’ (x)=0 or f  ’ (x) DNE Abs & Loc Min Abs & Loc Max Loc Max Loc Min Loc Min
Thm 2 : 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  f  ’ exists at  c , then  f  ’(c)=0.
Def : Critical Point A  critical point  is a point in the interior of the domain of  f  at which either…  1)  f ’(x)=   0 , or 2)  f ’(x)  does not exist
Finding Absolute  Extrema on [a,b]… To find the absolute extrema of a continuous function  f  on [a,b]… Evaluate  f  at the endpoints a and b. Find the critical numbers of  f  on [a,b]. Evaluate  f  at each critical number. Compare values. The greatest is the absolute max and the least is the absolute min.
Check for Understanding… (True or False??) Absolute extrema can occur at either interior points or endpoints. A function may fail to have a max or min value. A continuous function on a closed interval must have an absolute max or min. An absolute extremum is also a local extremum. Not every critical point or end point signals the presence of an extreme value.

More Related Content

PPTX
Presentation 1 DAO cours niveau licence 2
PPTX
Formazione delle parole
PPTX
PPT 2 Pagsasaling Wika at mga paraan kung paano magsalin
PPTX
Verbit, ruotsin kieli
PPTX
Yunit 1 wika
DOC
طريقة شكل حروف اللغة العربية أثناء الكتابة باستعمال لوحة المفاتيح وأمور أخرى
PDF
MODYUL-2EnWF.pdf
PDF
Test psicometrico
Presentation 1 DAO cours niveau licence 2
Formazione delle parole
PPT 2 Pagsasaling Wika at mga paraan kung paano magsalin
Verbit, ruotsin kieli
Yunit 1 wika
طريقة شكل حروف اللغة العربية أثناء الكتابة باستعمال لوحة المفاتيح وأمور أخرى
MODYUL-2EnWF.pdf
Test psicometrico

Viewers also liked (11)

PPT
Extreme value distribution to predict maximum precipitation
PDF
Flood frequency analysis of river kosi, uttarakhand, india using statistical ...
PPTX
Iwm case studies (standard)
PPT
3.1 Extreme Values of Functions
PPT
Markov chains1
PPTX
2150602 hwre 150113106007-008 (HYDROLOGY & WATER RESOURCE ENGINEERING)
PPT
Markov chain intro
PPTX
Flood frequency analyses
PDF
Design mannual for small scale irrigation scheme book
PPT
Presentation Hydrology
PPT
Markov Chains
Extreme value distribution to predict maximum precipitation
Flood frequency analysis of river kosi, uttarakhand, india using statistical ...
Iwm case studies (standard)
3.1 Extreme Values of Functions
Markov chains1
2150602 hwre 150113106007-008 (HYDROLOGY & WATER RESOURCE ENGINEERING)
Markov chain intro
Flood frequency analyses
Design mannual for small scale irrigation scheme book
Presentation Hydrology
Markov Chains
Ad

Similar to Lesson 4.1 Extreme Values (20)

PDF
Lecture 11(relative extrema)
PDF
Lecture 12
PDF
Lecture 12
PDF
Lecture 11(relative extrema)
PDF
Lecture 11(relative extrema)
PPT
2301MaxMin.ppt
PPT
derivatives. maximum and minimum value..
PPTX
Ap calculus extrema v2
PPT
Calculus Sections 4.1 and 4.3
PPT
3.1 extrema on an interval
PDF
Lesson 18: Maximum and Minimum Vaues
PDF
Lesson 18: Maximum and Minimum Vaues
PPTX
Lecture#20 Analysis of Function II.pptx
PPT
Lar calc10 ch03_sec1
DOCX
Application of derivatives
PDF
Day 1a examples
PPT
derivatives. maximum and minimum value..
PDF
scribe cn
PPT
Lecture 15 max min - section 4.2
Lecture 11(relative extrema)
Lecture 12
Lecture 12
Lecture 11(relative extrema)
Lecture 11(relative extrema)
2301MaxMin.ppt
derivatives. maximum and minimum value..
Ap calculus extrema v2
Calculus Sections 4.1 and 4.3
3.1 extrema on an interval
Lesson 18: Maximum and Minimum Vaues
Lesson 18: Maximum and Minimum Vaues
Lecture#20 Analysis of Function II.pptx
Lar calc10 ch03_sec1
Application of derivatives
Day 1a examples
derivatives. maximum and minimum value..
scribe cn
Lecture 15 max min - section 4.2
Ad

More from Sharon Henry (20)

PPTX
6.1 Law of Sines Ambiguous Case
PPTX
6.2 law of cosines
PPTX
Second Derivative Information
PPTX
Definite Integral Review
PPTX
4.4 Fundamental Theorem of Calculus
PPTX
4.3 The Definite Integral
PPTX
Lesson 3.3 First Derivative Information
PPT
Lesson 3.2 Rolle and Mean Value Theorems
PPT
Lesson 3.3 3.4 - 1 st and 2nd Derivative Information
PPTX
3.5 3.6 exp-log models 13-14
PPTX
2.6 Related Rates
PPTX
3.5 EXP-LOG MODELS
PPT
Larson 4.4
PPT
Larson 4.3
PPT
Larson 4.2
PPT
Larson 4.1
PPTX
Derivative rules ch2
PPTX
1.4 Continuity
PPTX
Chapter 5 Definite Integral Topics Review
PPT
Lesson 4.3 First and Second Derivative Theory
6.1 Law of Sines Ambiguous Case
6.2 law of cosines
Second Derivative Information
Definite Integral Review
4.4 Fundamental Theorem of Calculus
4.3 The Definite Integral
Lesson 3.3 First Derivative Information
Lesson 3.2 Rolle and Mean Value Theorems
Lesson 3.3 3.4 - 1 st and 2nd Derivative Information
3.5 3.6 exp-log models 13-14
2.6 Related Rates
3.5 EXP-LOG MODELS
Larson 4.4
Larson 4.3
Larson 4.2
Larson 4.1
Derivative rules ch2
1.4 Continuity
Chapter 5 Definite Integral Topics Review
Lesson 4.3 First and Second Derivative Theory

Recently uploaded (20)

PDF
How ambidextrous entrepreneurial leaders react to the artificial intelligence...
PDF
Zenith AI: Advanced Artificial Intelligence
PPTX
O2C Customer Invoices to Receipt V15A.pptx
PDF
A comparative study of natural language inference in Swahili using monolingua...
PPTX
MicrosoftCybserSecurityReferenceArchitecture-April-2025.pptx
PDF
TrustArc Webinar - Click, Consent, Trust: Winning the Privacy Game
PDF
Univ-Connecticut-ChatGPT-Presentaion.pdf
PDF
Getting Started with Data Integration: FME Form 101
PDF
WOOl fibre morphology and structure.pdf for textiles
PDF
Microsoft Solutions Partner Drive Digital Transformation with D365.pdf
PPTX
Modernising the Digital Integration Hub
PDF
CloudStack 4.21: First Look Webinar slides
PDF
1 - Historical Antecedents, Social Consideration.pdf
PDF
Taming the Chaos: How to Turn Unstructured Data into Decisions
PPTX
Tartificialntelligence_presentation.pptx
PDF
Five Habits of High-Impact Board Members
PDF
A novel scalable deep ensemble learning framework for big data classification...
PDF
Assigned Numbers - 2025 - Bluetooth® Document
PPTX
Benefits of Physical activity for teenagers.pptx
PDF
Transform Your ITIL® 4 & ITSM Strategy with AI in 2025.pdf
How ambidextrous entrepreneurial leaders react to the artificial intelligence...
Zenith AI: Advanced Artificial Intelligence
O2C Customer Invoices to Receipt V15A.pptx
A comparative study of natural language inference in Swahili using monolingua...
MicrosoftCybserSecurityReferenceArchitecture-April-2025.pptx
TrustArc Webinar - Click, Consent, Trust: Winning the Privacy Game
Univ-Connecticut-ChatGPT-Presentaion.pdf
Getting Started with Data Integration: FME Form 101
WOOl fibre morphology and structure.pdf for textiles
Microsoft Solutions Partner Drive Digital Transformation with D365.pdf
Modernising the Digital Integration Hub
CloudStack 4.21: First Look Webinar slides
1 - Historical Antecedents, Social Consideration.pdf
Taming the Chaos: How to Turn Unstructured Data into Decisions
Tartificialntelligence_presentation.pptx
Five Habits of High-Impact Board Members
A novel scalable deep ensemble learning framework for big data classification...
Assigned Numbers - 2025 - Bluetooth® Document
Benefits of Physical activity for teenagers.pptx
Transform Your ITIL® 4 & ITSM Strategy with AI in 2025.pdf

Lesson 4.1 Extreme Values

  • 1. 4.1 Extreme Values of Functions
  • 2. Def : Absolute Extreme Values Let f be a function with domain D. Then f (c) is the… a) Absolute (or global) maximum value on D iff f (x) ≤ f (c) for all x in D. b) Absolute (or global) minimum value on D iff f (x) ≥ f (c) for all x in D. * Note: The max or min VALUE refers to the y value.
  • 3. Where can absolute extrema occur? * Extrema occur at endpoints or interior points in an interval. * A function does not have to have a max or min on an interval. * Continuity affects the existence of extrema. Min Max Min No Max No Max No Min
  • 4. Thm 1 : Extreme Value Theorem If f is continuous on a closed interval [a,b], then f has both a maximum value and a minimum value on the interval. * What is the “worst case scenario,” and what happens then?
  • 5. Def : Local Extreme Values Let c be an interior point of the domain of f . Then f (c) is a… a) Local (or relative) maximum value at c iff f (x) ≤ f (c) for all x in some open interval containing c. b) Local (or relative) minimum value at c iff f (x) ≥ f (c) for all x in some open interval containing c. * A local extreme value is a max or min in a “neighborhood” of points surrounding c
  • 6. Identify Absolute and Local Extrema * Local extremes are where f ’ (x)=0 or f ’ (x) DNE Abs & Loc Min Abs & Loc Max Loc Max Loc Min Loc Min
  • 7. Thm 2 : 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 f ’ exists at c , then f ’(c)=0.
  • 8. Def : Critical Point A critical point is a point in the interior of the domain of f at which either… 1) f ’(x)= 0 , or 2) f ’(x) does not exist
  • 9. Finding Absolute Extrema on [a,b]… To find the absolute extrema of a continuous function f on [a,b]… Evaluate f at the endpoints a and b. Find the critical numbers of f on [a,b]. Evaluate f at each critical number. Compare values. The greatest is the absolute max and the least is the absolute min.
  • 10. Check for Understanding… (True or False??) Absolute extrema can occur at either interior points or endpoints. A function may fail to have a max or min value. A continuous function on a closed interval must have an absolute max or min. An absolute extremum is also a local extremum. Not every critical point or end point signals the presence of an extreme value.