SlideShare a Scribd company logo
3.1
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
Abs & Loc Min
Abs & Loc Max
Loc Max
Loc Min
Loc Min
* Local extremes are where f ’(x)=0 or f ’(x) DNE
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]…
1. Evaluate f at the endpoints a and b.
2. Find the critical numbers of f on [a,b].
3. Evaluate f at each critical number.
4. Compare values. The greatest is the
absolute max and the least is the
absolute min.
Check for Understanding…
(True or False??)
1. Absolute extrema can occur at either interior
points or endpoints.
2. A function may fail to have a max or min
value.
3. A continuous function on a closed interval
must have an absolute max or min.
4. An absolute extremum is also a local
extremum.
5. Not every critical point or end point signals
the presence of an extreme value.

More Related Content

What's hot

Lesson 3.3 First Derivative Information
Lesson 3.3 First Derivative InformationLesson 3.3 First Derivative Information
Lesson 3.3 First Derivative Information
Sharon Henry
 
Application of Derivatives
Application of DerivativesApplication of Derivatives
Application of Derivatives
Abdullah Al Mamun
 
Lesson 4.3 First and Second Derivative Theory
Lesson 4.3 First and Second Derivative TheoryLesson 4.3 First and Second Derivative Theory
Lesson 4.3 First and Second Derivative Theory
Sharon Henry
 
Lesson 3.3 3.4 - 1 st and 2nd Derivative Information
Lesson 3.3 3.4 - 1 st and 2nd Derivative InformationLesson 3.3 3.4 - 1 st and 2nd Derivative Information
Lesson 3.3 3.4 - 1 st and 2nd Derivative Information
Sharon Henry
 
Εφαπτομένη Ευθεία ΕΠΑΛ
Εφαπτομένη Ευθεία ΕΠΑΛΕφαπτομένη Ευθεία ΕΠΑΛ
Εφαπτομένη Ευθεία ΕΠΑΛ
Dina Kiourtidou
 
Day 2 examples
Day 2 examplesDay 2 examples
Day 2 examples
jchartiersjsd
 
Second Derivative Information
Second Derivative InformationSecond Derivative Information
Second Derivative Information
Sharon Henry
 
Homework graphing
Homework   graphingHomework   graphing
Homework graphing
canyoudiggit
 
Lecture 12(point of inflection and concavity)
Lecture 12(point of inflection and concavity)Lecture 12(point of inflection and concavity)
Lecture 12(point of inflection and concavity)
FahadYaqoob5
 
Calc224FinalExamReview
Calc224FinalExamReviewCalc224FinalExamReview
Calc224FinalExamReview
Tori Peña
 
Probability
ProbabilityProbability
Probability
CliffSugermen
 
Lesson 3.1
Lesson 3.1Lesson 3.1
Lesson 3.1
guest123c01ff
 
Extreme Value
Extreme ValueExtreme Value
Extreme Value
nclamelas
 
Noise detection from the signal matlab code, Signal Diagnosis
Noise detection from the signal matlab code, Signal Diagnosis Noise detection from the signal matlab code, Signal Diagnosis
Noise detection from the signal matlab code, Signal Diagnosis
Bharti Airtel Ltd.
 
Application of derivatives
Application of derivativesApplication of derivatives
Application of derivatives
MD.ASHIQUZZAMAN KHONDAKER
 

What's hot (15)

Lesson 3.3 First Derivative Information
Lesson 3.3 First Derivative InformationLesson 3.3 First Derivative Information
Lesson 3.3 First Derivative Information
 
Application of Derivatives
Application of DerivativesApplication of Derivatives
Application of Derivatives
 
Lesson 4.3 First and Second Derivative Theory
Lesson 4.3 First and Second Derivative TheoryLesson 4.3 First and Second Derivative Theory
Lesson 4.3 First and Second Derivative Theory
 
Lesson 3.3 3.4 - 1 st and 2nd Derivative Information
Lesson 3.3 3.4 - 1 st and 2nd Derivative InformationLesson 3.3 3.4 - 1 st and 2nd Derivative Information
Lesson 3.3 3.4 - 1 st and 2nd Derivative Information
 
Εφαπτομένη Ευθεία ΕΠΑΛ
Εφαπτομένη Ευθεία ΕΠΑΛΕφαπτομένη Ευθεία ΕΠΑΛ
Εφαπτομένη Ευθεία ΕΠΑΛ
 
Day 2 examples
Day 2 examplesDay 2 examples
Day 2 examples
 
Second Derivative Information
Second Derivative InformationSecond Derivative Information
Second Derivative Information
 
Homework graphing
Homework   graphingHomework   graphing
Homework graphing
 
Lecture 12(point of inflection and concavity)
Lecture 12(point of inflection and concavity)Lecture 12(point of inflection and concavity)
Lecture 12(point of inflection and concavity)
 
Calc224FinalExamReview
Calc224FinalExamReviewCalc224FinalExamReview
Calc224FinalExamReview
 
Probability
ProbabilityProbability
Probability
 
Lesson 3.1
Lesson 3.1Lesson 3.1
Lesson 3.1
 
Extreme Value
Extreme ValueExtreme Value
Extreme Value
 
Noise detection from the signal matlab code, Signal Diagnosis
Noise detection from the signal matlab code, Signal Diagnosis Noise detection from the signal matlab code, Signal Diagnosis
Noise detection from the signal matlab code, Signal Diagnosis
 
Application of derivatives
Application of derivativesApplication of derivatives
Application of derivatives
 

Similar to Lecture 12

2301MaxMin.ppt
2301MaxMin.ppt2301MaxMin.ppt
2301MaxMin.ppt
AsadAltaf10
 
3.1
3.13.1
Day 1a examples
Day 1a examplesDay 1a examples
Day 1a examples
jchartiersjsd
 
Calculus Sections 4.1 and 4.3
Calculus Sections 4.1 and 4.3Calculus Sections 4.1 and 4.3
Calculus Sections 4.1 and 4.3
calculusgroup3
 
Ap calculus extrema v2
Ap calculus extrema v2Ap calculus extrema v2
Ap calculus extrema v2
gregcross22
 
extremevaluesofafunctionapplicationsofderivative-130905112534-.pdf
extremevaluesofafunctionapplicationsofderivative-130905112534-.pdfextremevaluesofafunctionapplicationsofderivative-130905112534-.pdf
extremevaluesofafunctionapplicationsofderivative-130905112534-.pdf
Waqas Mehmood
 
Maximums and minimum
Maximums and minimum Maximums and minimum
Maximums and minimum
rubimedina01
 
Application of derivatives
Application of derivativesApplication of derivatives
Application of derivatives
indu thakur
 
Chapter 4 review
Chapter 4 reviewChapter 4 review
Chapter 4 review
gregcross22
 
Opt simple single_000
Opt simple single_000Opt simple single_000
Opt simple single_000
sheetslibrary
 
Lesson 18: Maximum and Minimum Values (slides)
Lesson 18: Maximum and Minimum Values (slides)Lesson 18: Maximum and Minimum Values (slides)
Lesson 18: Maximum and Minimum Values (slides)
Mel Anthony Pepito
 
Lesson 18: Maximum and Minimum Values (slides)
Lesson 18: Maximum and Minimum Values (slides)Lesson 18: Maximum and Minimum Values (slides)
Lesson 18: Maximum and Minimum Values (slides)
Matthew Leingang
 
Calc 3.1
Calc 3.1Calc 3.1
Calc 3.1
hartcher
 
Lesson 18: Maximum and Minimum Vaues
Lesson 18: Maximum and Minimum VauesLesson 18: Maximum and Minimum Vaues
Lesson 18: Maximum and Minimum Vaues
Matthew Leingang
 
Lesson 18: Maximum and Minimum Vaues
Lesson 18: Maximum and Minimum VauesLesson 18: Maximum and Minimum Vaues
Lesson 18: Maximum and Minimum Vaues
Matthew Leingang
 
Derivatives in graphing-dfs
Derivatives in graphing-dfsDerivatives in graphing-dfs
Derivatives in graphing-dfs
Farhana Shaheen
 
Lesson 18: Maximum and Minimum Values (Section 021 handout)
Lesson 18: Maximum and Minimum Values (Section 021 handout)Lesson 18: Maximum and Minimum Values (Section 021 handout)
Lesson 18: Maximum and Minimum Values (Section 021 handout)
Matthew Leingang
 
Lesson19 Maximum And Minimum Values 034 Slides
Lesson19   Maximum And Minimum Values 034 SlidesLesson19   Maximum And Minimum Values 034 Slides
Lesson19 Maximum And Minimum Values 034 Slides
Matthew Leingang
 
maxima & Minima thoeyr&solved.Module-4pdf
maxima & Minima thoeyr&solved.Module-4pdfmaxima & Minima thoeyr&solved.Module-4pdf
maxima & Minima thoeyr&solved.Module-4pdf
RajuSingh806014
 
Lesson 19: Maximum and Minimum Values
Lesson 19: Maximum and Minimum ValuesLesson 19: Maximum and Minimum Values
Lesson 19: Maximum and Minimum Values
Matthew Leingang
 

Similar to Lecture 12 (20)

2301MaxMin.ppt
2301MaxMin.ppt2301MaxMin.ppt
2301MaxMin.ppt
 
3.1
3.13.1
3.1
 
Day 1a examples
Day 1a examplesDay 1a examples
Day 1a examples
 
Calculus Sections 4.1 and 4.3
Calculus Sections 4.1 and 4.3Calculus Sections 4.1 and 4.3
Calculus Sections 4.1 and 4.3
 
Ap calculus extrema v2
Ap calculus extrema v2Ap calculus extrema v2
Ap calculus extrema v2
 
extremevaluesofafunctionapplicationsofderivative-130905112534-.pdf
extremevaluesofafunctionapplicationsofderivative-130905112534-.pdfextremevaluesofafunctionapplicationsofderivative-130905112534-.pdf
extremevaluesofafunctionapplicationsofderivative-130905112534-.pdf
 
Maximums and minimum
Maximums and minimum Maximums and minimum
Maximums and minimum
 
Application of derivatives
Application of derivativesApplication of derivatives
Application of derivatives
 
Chapter 4 review
Chapter 4 reviewChapter 4 review
Chapter 4 review
 
Opt simple single_000
Opt simple single_000Opt simple single_000
Opt simple single_000
 
Lesson 18: Maximum and Minimum Values (slides)
Lesson 18: Maximum and Minimum Values (slides)Lesson 18: Maximum and Minimum Values (slides)
Lesson 18: Maximum and Minimum Values (slides)
 
Lesson 18: Maximum and Minimum Values (slides)
Lesson 18: Maximum and Minimum Values (slides)Lesson 18: Maximum and Minimum Values (slides)
Lesson 18: Maximum and Minimum Values (slides)
 
Calc 3.1
Calc 3.1Calc 3.1
Calc 3.1
 
Lesson 18: Maximum and Minimum Vaues
Lesson 18: Maximum and Minimum VauesLesson 18: Maximum and Minimum Vaues
Lesson 18: Maximum and Minimum Vaues
 
Lesson 18: Maximum and Minimum Vaues
Lesson 18: Maximum and Minimum VauesLesson 18: Maximum and Minimum Vaues
Lesson 18: Maximum and Minimum Vaues
 
Derivatives in graphing-dfs
Derivatives in graphing-dfsDerivatives in graphing-dfs
Derivatives in graphing-dfs
 
Lesson 18: Maximum and Minimum Values (Section 021 handout)
Lesson 18: Maximum and Minimum Values (Section 021 handout)Lesson 18: Maximum and Minimum Values (Section 021 handout)
Lesson 18: Maximum and Minimum Values (Section 021 handout)
 
Lesson19 Maximum And Minimum Values 034 Slides
Lesson19   Maximum And Minimum Values 034 SlidesLesson19   Maximum And Minimum Values 034 Slides
Lesson19 Maximum And Minimum Values 034 Slides
 
maxima & Minima thoeyr&solved.Module-4pdf
maxima & Minima thoeyr&solved.Module-4pdfmaxima & Minima thoeyr&solved.Module-4pdf
maxima & Minima thoeyr&solved.Module-4pdf
 
Lesson 19: Maximum and Minimum Values
Lesson 19: Maximum and Minimum ValuesLesson 19: Maximum and Minimum Values
Lesson 19: Maximum and Minimum Values
 

More from FahadYaqoob5

Push over analysis
Push over analysisPush over analysis
Push over analysis
FahadYaqoob5
 
Lecture 6(bounded &pseudo m. spaces)
Lecture 6(bounded &pseudo m. spaces)Lecture 6(bounded &pseudo m. spaces)
Lecture 6(bounded &pseudo m. spaces)
FahadYaqoob5
 
Lecture 13(asymptotes) converted
Lecture 13(asymptotes) convertedLecture 13(asymptotes) converted
Lecture 13(asymptotes) converted
FahadYaqoob5
 
Lecture 11(relative extrema)
Lecture 11(relative extrema)Lecture 11(relative extrema)
Lecture 11(relative extrema)
FahadYaqoob5
 
Lecture 11(relative extrema)
Lecture 11(relative extrema)Lecture 11(relative extrema)
Lecture 11(relative extrema)
FahadYaqoob5
 
Lecture 15(graphing of cartesion curves)
Lecture 15(graphing of cartesion curves)Lecture 15(graphing of cartesion curves)
Lecture 15(graphing of cartesion curves)
FahadYaqoob5
 
Lecture 12(point of inflection and concavity)
Lecture 12(point of inflection and concavity)Lecture 12(point of inflection and concavity)
Lecture 12(point of inflection and concavity)
FahadYaqoob5
 
Lecture 10(asymptotes)
Lecture 10(asymptotes)Lecture 10(asymptotes)
Lecture 10(asymptotes)
FahadYaqoob5
 
Lecture 5(polar coordinates)
Lecture 5(polar coordinates)Lecture 5(polar coordinates)
Lecture 5(polar coordinates)
FahadYaqoob5
 
Lecture 10(asymptotes)
Lecture 10(asymptotes)Lecture 10(asymptotes)
Lecture 10(asymptotes)
FahadYaqoob5
 
Lecture 11(relative extrema)
Lecture 11(relative extrema)Lecture 11(relative extrema)
Lecture 11(relative extrema)
FahadYaqoob5
 
Lecture 5(polar coordinates)
Lecture 5(polar coordinates)Lecture 5(polar coordinates)
Lecture 5(polar coordinates)
FahadYaqoob5
 
Lecture 15
Lecture 15Lecture 15
Lecture 15
FahadYaqoob5
 
Lecture 10
Lecture 10Lecture 10
Lecture 10
FahadYaqoob5
 
Lecture 11
Lecture 11Lecture 11
Lecture 11
FahadYaqoob5
 
Lecture 12
Lecture 12Lecture 12
Lecture 12
FahadYaqoob5
 
Lecture 11
Lecture 11Lecture 11
Lecture 11
FahadYaqoob5
 
Lecture 10
Lecture 10Lecture 10
Lecture 10
FahadYaqoob5
 
Lecture 8
Lecture 8Lecture 8
Lecture 8
FahadYaqoob5
 
Lecture 5
Lecture 5Lecture 5
Lecture 5
FahadYaqoob5
 

More from FahadYaqoob5 (20)

Push over analysis
Push over analysisPush over analysis
Push over analysis
 
Lecture 6(bounded &pseudo m. spaces)
Lecture 6(bounded &pseudo m. spaces)Lecture 6(bounded &pseudo m. spaces)
Lecture 6(bounded &pseudo m. spaces)
 
Lecture 13(asymptotes) converted
Lecture 13(asymptotes) convertedLecture 13(asymptotes) converted
Lecture 13(asymptotes) converted
 
Lecture 11(relative extrema)
Lecture 11(relative extrema)Lecture 11(relative extrema)
Lecture 11(relative extrema)
 
Lecture 11(relative extrema)
Lecture 11(relative extrema)Lecture 11(relative extrema)
Lecture 11(relative extrema)
 
Lecture 15(graphing of cartesion curves)
Lecture 15(graphing of cartesion curves)Lecture 15(graphing of cartesion curves)
Lecture 15(graphing of cartesion curves)
 
Lecture 12(point of inflection and concavity)
Lecture 12(point of inflection and concavity)Lecture 12(point of inflection and concavity)
Lecture 12(point of inflection and concavity)
 
Lecture 10(asymptotes)
Lecture 10(asymptotes)Lecture 10(asymptotes)
Lecture 10(asymptotes)
 
Lecture 5(polar coordinates)
Lecture 5(polar coordinates)Lecture 5(polar coordinates)
Lecture 5(polar coordinates)
 
Lecture 10(asymptotes)
Lecture 10(asymptotes)Lecture 10(asymptotes)
Lecture 10(asymptotes)
 
Lecture 11(relative extrema)
Lecture 11(relative extrema)Lecture 11(relative extrema)
Lecture 11(relative extrema)
 
Lecture 5(polar coordinates)
Lecture 5(polar coordinates)Lecture 5(polar coordinates)
Lecture 5(polar coordinates)
 
Lecture 15
Lecture 15Lecture 15
Lecture 15
 
Lecture 10
Lecture 10Lecture 10
Lecture 10
 
Lecture 11
Lecture 11Lecture 11
Lecture 11
 
Lecture 12
Lecture 12Lecture 12
Lecture 12
 
Lecture 11
Lecture 11Lecture 11
Lecture 11
 
Lecture 10
Lecture 10Lecture 10
Lecture 10
 
Lecture 8
Lecture 8Lecture 8
Lecture 8
 
Lecture 5
Lecture 5Lecture 5
Lecture 5
 

Recently uploaded

Design Thinking NETFLIX using all techniques.pptx
Design Thinking NETFLIX using all techniques.pptxDesign Thinking NETFLIX using all techniques.pptx
Design Thinking NETFLIX using all techniques.pptx
saathvikreddy2003
 
办理新西兰奥克兰大学毕业证学位证书范本原版一模一样
办理新西兰奥克兰大学毕业证学位证书范本原版一模一样办理新西兰奥克兰大学毕业证学位证书范本原版一模一样
办理新西兰奥克兰大学毕业证学位证书范本原版一模一样
xjq03c34
 
Gen Z and the marketplaces - let's translate their needs
Gen Z and the marketplaces - let's translate their needsGen Z and the marketplaces - let's translate their needs
Gen Z and the marketplaces - let's translate their needs
Laura Szabó
 
Should Repositories Participate in the Fediverse?
Should Repositories Participate in the Fediverse?Should Repositories Participate in the Fediverse?
Should Repositories Participate in the Fediverse?
Paul Walk
 
办理毕业证(UPenn毕业证)宾夕法尼亚大学毕业证成绩单快速办理
办理毕业证(UPenn毕业证)宾夕法尼亚大学毕业证成绩单快速办理办理毕业证(UPenn毕业证)宾夕法尼亚大学毕业证成绩单快速办理
办理毕业证(UPenn毕业证)宾夕法尼亚大学毕业证成绩单快速办理
uehowe
 
Ready to Unlock the Power of Blockchain!
Ready to Unlock the Power of Blockchain!Ready to Unlock the Power of Blockchain!
Ready to Unlock the Power of Blockchain!
Toptal Tech
 
HijackLoader Evolution: Interactive Process Hollowing
HijackLoader Evolution: Interactive Process HollowingHijackLoader Evolution: Interactive Process Hollowing
HijackLoader Evolution: Interactive Process Hollowing
Donato Onofri
 
办理毕业证(NYU毕业证)纽约大学毕业证成绩单官方原版办理
办理毕业证(NYU毕业证)纽约大学毕业证成绩单官方原版办理办理毕业证(NYU毕业证)纽约大学毕业证成绩单官方原版办理
办理毕业证(NYU毕业证)纽约大学毕业证成绩单官方原版办理
uehowe
 
[HUN][hackersuli] Red Teaming alapok 2024
[HUN][hackersuli] Red Teaming alapok 2024[HUN][hackersuli] Red Teaming alapok 2024
[HUN][hackersuli] Red Teaming alapok 2024
hackersuli
 
Discover the benefits of outsourcing SEO to India
Discover the benefits of outsourcing SEO to IndiaDiscover the benefits of outsourcing SEO to India
Discover the benefits of outsourcing SEO to India
davidjhones387
 
一比一原版(USYD毕业证)悉尼大学毕业证如何办理
一比一原版(USYD毕业证)悉尼大学毕业证如何办理一比一原版(USYD毕业证)悉尼大学毕业证如何办理
一比一原版(USYD毕业证)悉尼大学毕业证如何办理
k4ncd0z
 
快速办理(Vic毕业证书)惠灵顿维多利亚大学毕业证完成信一模一样
快速办理(Vic毕业证书)惠灵顿维多利亚大学毕业证完成信一模一样快速办理(Vic毕业证书)惠灵顿维多利亚大学毕业证完成信一模一样
快速办理(Vic毕业证书)惠灵顿维多利亚大学毕业证完成信一模一样
3a0sd7z3
 
快速办理(新加坡SMU毕业证书)新加坡管理大学毕业证文凭证书一模一样
快速办理(新加坡SMU毕业证书)新加坡管理大学毕业证文凭证书一模一样快速办理(新加坡SMU毕业证书)新加坡管理大学毕业证文凭证书一模一样
快速办理(新加坡SMU毕业证书)新加坡管理大学毕业证文凭证书一模一样
3a0sd7z3
 
存档可查的(USC毕业证)南加利福尼亚大学毕业证成绩单制做办理
存档可查的(USC毕业证)南加利福尼亚大学毕业证成绩单制做办理存档可查的(USC毕业证)南加利福尼亚大学毕业证成绩单制做办理
存档可查的(USC毕业证)南加利福尼亚大学毕业证成绩单制做办理
fovkoyb
 
留学挂科(UofM毕业证)明尼苏达大学毕业证成绩单复刻办理
留学挂科(UofM毕业证)明尼苏达大学毕业证成绩单复刻办理留学挂科(UofM毕业证)明尼苏达大学毕业证成绩单复刻办理
留学挂科(UofM毕业证)明尼苏达大学毕业证成绩单复刻办理
uehowe
 
成绩单ps(UST毕业证)圣托马斯大学毕业证成绩单快速办理
成绩单ps(UST毕业证)圣托马斯大学毕业证成绩单快速办理成绩单ps(UST毕业证)圣托马斯大学毕业证成绩单快速办理
成绩单ps(UST毕业证)圣托马斯大学毕业证成绩单快速办理
ysasp1
 
怎么办理(umiami毕业证书)美国迈阿密大学毕业证文凭证书实拍图原版一模一样
怎么办理(umiami毕业证书)美国迈阿密大学毕业证文凭证书实拍图原版一模一样怎么办理(umiami毕业证书)美国迈阿密大学毕业证文凭证书实拍图原版一模一样
怎么办理(umiami毕业证书)美国迈阿密大学毕业证文凭证书实拍图原版一模一样
rtunex8r
 
manuaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaal
manuaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaalmanuaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaal
manuaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaal
wolfsoftcompanyco
 
不能毕业如何获得(USYD毕业证)悉尼大学毕业证成绩单一比一原版制作
不能毕业如何获得(USYD毕业证)悉尼大学毕业证成绩单一比一原版制作不能毕业如何获得(USYD毕业证)悉尼大学毕业证成绩单一比一原版制作
不能毕业如何获得(USYD毕业证)悉尼大学毕业证成绩单一比一原版制作
bseovas
 

Recently uploaded (19)

Design Thinking NETFLIX using all techniques.pptx
Design Thinking NETFLIX using all techniques.pptxDesign Thinking NETFLIX using all techniques.pptx
Design Thinking NETFLIX using all techniques.pptx
 
办理新西兰奥克兰大学毕业证学位证书范本原版一模一样
办理新西兰奥克兰大学毕业证学位证书范本原版一模一样办理新西兰奥克兰大学毕业证学位证书范本原版一模一样
办理新西兰奥克兰大学毕业证学位证书范本原版一模一样
 
Gen Z and the marketplaces - let's translate their needs
Gen Z and the marketplaces - let's translate their needsGen Z and the marketplaces - let's translate their needs
Gen Z and the marketplaces - let's translate their needs
 
Should Repositories Participate in the Fediverse?
Should Repositories Participate in the Fediverse?Should Repositories Participate in the Fediverse?
Should Repositories Participate in the Fediverse?
 
办理毕业证(UPenn毕业证)宾夕法尼亚大学毕业证成绩单快速办理
办理毕业证(UPenn毕业证)宾夕法尼亚大学毕业证成绩单快速办理办理毕业证(UPenn毕业证)宾夕法尼亚大学毕业证成绩单快速办理
办理毕业证(UPenn毕业证)宾夕法尼亚大学毕业证成绩单快速办理
 
Ready to Unlock the Power of Blockchain!
Ready to Unlock the Power of Blockchain!Ready to Unlock the Power of Blockchain!
Ready to Unlock the Power of Blockchain!
 
HijackLoader Evolution: Interactive Process Hollowing
HijackLoader Evolution: Interactive Process HollowingHijackLoader Evolution: Interactive Process Hollowing
HijackLoader Evolution: Interactive Process Hollowing
 
办理毕业证(NYU毕业证)纽约大学毕业证成绩单官方原版办理
办理毕业证(NYU毕业证)纽约大学毕业证成绩单官方原版办理办理毕业证(NYU毕业证)纽约大学毕业证成绩单官方原版办理
办理毕业证(NYU毕业证)纽约大学毕业证成绩单官方原版办理
 
[HUN][hackersuli] Red Teaming alapok 2024
[HUN][hackersuli] Red Teaming alapok 2024[HUN][hackersuli] Red Teaming alapok 2024
[HUN][hackersuli] Red Teaming alapok 2024
 
Discover the benefits of outsourcing SEO to India
Discover the benefits of outsourcing SEO to IndiaDiscover the benefits of outsourcing SEO to India
Discover the benefits of outsourcing SEO to India
 
一比一原版(USYD毕业证)悉尼大学毕业证如何办理
一比一原版(USYD毕业证)悉尼大学毕业证如何办理一比一原版(USYD毕业证)悉尼大学毕业证如何办理
一比一原版(USYD毕业证)悉尼大学毕业证如何办理
 
快速办理(Vic毕业证书)惠灵顿维多利亚大学毕业证完成信一模一样
快速办理(Vic毕业证书)惠灵顿维多利亚大学毕业证完成信一模一样快速办理(Vic毕业证书)惠灵顿维多利亚大学毕业证完成信一模一样
快速办理(Vic毕业证书)惠灵顿维多利亚大学毕业证完成信一模一样
 
快速办理(新加坡SMU毕业证书)新加坡管理大学毕业证文凭证书一模一样
快速办理(新加坡SMU毕业证书)新加坡管理大学毕业证文凭证书一模一样快速办理(新加坡SMU毕业证书)新加坡管理大学毕业证文凭证书一模一样
快速办理(新加坡SMU毕业证书)新加坡管理大学毕业证文凭证书一模一样
 
存档可查的(USC毕业证)南加利福尼亚大学毕业证成绩单制做办理
存档可查的(USC毕业证)南加利福尼亚大学毕业证成绩单制做办理存档可查的(USC毕业证)南加利福尼亚大学毕业证成绩单制做办理
存档可查的(USC毕业证)南加利福尼亚大学毕业证成绩单制做办理
 
留学挂科(UofM毕业证)明尼苏达大学毕业证成绩单复刻办理
留学挂科(UofM毕业证)明尼苏达大学毕业证成绩单复刻办理留学挂科(UofM毕业证)明尼苏达大学毕业证成绩单复刻办理
留学挂科(UofM毕业证)明尼苏达大学毕业证成绩单复刻办理
 
成绩单ps(UST毕业证)圣托马斯大学毕业证成绩单快速办理
成绩单ps(UST毕业证)圣托马斯大学毕业证成绩单快速办理成绩单ps(UST毕业证)圣托马斯大学毕业证成绩单快速办理
成绩单ps(UST毕业证)圣托马斯大学毕业证成绩单快速办理
 
怎么办理(umiami毕业证书)美国迈阿密大学毕业证文凭证书实拍图原版一模一样
怎么办理(umiami毕业证书)美国迈阿密大学毕业证文凭证书实拍图原版一模一样怎么办理(umiami毕业证书)美国迈阿密大学毕业证文凭证书实拍图原版一模一样
怎么办理(umiami毕业证书)美国迈阿密大学毕业证文凭证书实拍图原版一模一样
 
manuaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaal
manuaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaalmanuaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaal
manuaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaal
 
不能毕业如何获得(USYD毕业证)悉尼大学毕业证成绩单一比一原版制作
不能毕业如何获得(USYD毕业证)悉尼大学毕业证成绩单一比一原版制作不能毕业如何获得(USYD毕业证)悉尼大学毕业证成绩单一比一原版制作
不能毕业如何获得(USYD毕业证)悉尼大学毕业证成绩单一比一原版制作
 

Lecture 12

  • 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 Abs & Loc Min Abs & Loc Max Loc Max Loc Min Loc Min * Local extremes are where f ’(x)=0 or f ’(x) DNE
  • 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]… 1. Evaluate f at the endpoints a and b. 2. Find the critical numbers of f on [a,b]. 3. Evaluate f at each critical number. 4. Compare values. The greatest is the absolute max and the least is the absolute min.
  • 10. Check for Understanding… (True or False??) 1. Absolute extrema can occur at either interior points or endpoints. 2. A function may fail to have a max or min value. 3. A continuous function on a closed interval must have an absolute max or min. 4. An absolute extremum is also a local extremum. 5. Not every critical point or end point signals the presence of an extreme value.