SlideShare a Scribd company logo
1 of 26
3.1 Extrema On An Interval
After this lesson, you should be able to:
Understand the definition of extrema of a
function on an interval
Understand the definition of relative extrema
of a function on an open interval
Find extrema on a closed interval
Definition
When the just word minimum or
maximum is used, we assume it’s an
absolute min or absolute max.
Extrema
Minimum and maximum values on an interval are called
extremes, or extrema on an interval.
• The minimum value of the function on an interval is
considered the absolute minimum on the interval.
• The maximum value of the function on an interval is
considered the absolute maximum on the interval.
OPEN intervals – Do the following have extrema?
On an open
interval, the max.
or the min. may or
may not exist even
if the function is
continuous on this
interval.
CLOSED intervals – Do the following have extrema?
On a closed
interval, both
max. and min.
exist if the
function is
continuous on this
interval.
The Extreme Value Theorem (EVT)
Theorem 3.1: If f is continuous on a closed interval [a, b],
then f has both a minimum and a maximum on the interval.
In other words, if f is continuous on a closed interval, f
must have a min and a max value.
Max-Min
f is continuous
on [a, b]
a b
Example
Example 1 Let f (x) = x2
– 5x – 6 on the closed interval
[–1, 6], find the extreme values.
Example
Example 2 Let f (x) = x3
+ 2x2
– x – 2 on the closed interval
[–3, 1], find the extreme values.
Example
Example 3 Let f (x) = x3
+ 2x2
– x – 2 on the closed interval
[–3, 2], find the extreme values.
The (absolute)max and (absolute)min of f on [a, b]
occur either at an endpoint of [a, b] or at a point in (a, b).
Relative Extrema and Critical Numbers
(AP may use Local Extrema)
1. If there is an open interval containing c on which f (c) is a
maximum, then f (c) is a local maximum of f.
2. If there is an open interval containing c on which f (c) is a
minimum, then f (c) is a local minimum of f.
When you look at the entire graph (domain),
there may be no absolute extrema, but there
could be many relative extrema.
What is the slope at each extreme value????
Definition of a Critical Number and Figure 3.4
Critical Numbers
c is a critical number for f iff:
1. f (c) is defined (c is in the domain of f )
2. f ’(c) = 0 or f ’(c) = does not exist
Theorem 3.2 If f has a relative max. or relative min,
at x = c, then c must be a critical number for f.
1. The (absolute)max and (absolute)min of f on [a, b]
occur either at an endpoint of [a, b] or at a critical
number in (a, b).
So…. Relative extrema can only occur at critical values, but
not all critical values are extrema. Explain this statement.Explain this statement.
Make sure f is continuous on [a, b].
1. Find the critical numbers of f(x) in (a, b). This is
where the derivative = 0 or is undefined.
2. Evaluate f(x) at each critical numbers in (a, b).
3. Evaluate f(x) at each endpoint in [a, b].
4. The least of these values (outputs) is the minimum.
The greatest is the maximum.
**Make sure you give the y-value this is the
extreme value!**
Guidelines
Critical Numbers
1. Make sure f is continuous on [a, b].
2. Find all critical numbers c1, c2, c3…cnof f which
are in (a, b) where f’(x) = 0 or f’(x) is
undefined.
3. Evaluate f(a), f(b), f(c1), f(c2), …f(cn).
4. The largest and smallest values in part 2 are the
max and min of f on [a, b].
To find the max and min of f on [a, b]:
Example
60426 2
+− xx
Example 4 Find all critical numbers
460212)( 23
−+−= xxxxf
Domain:
=)(' xf )5)(2(6 −−= xx
(–∞, +∞)
Critical number: x = 2 and x = 5
Example
2
2
2 ( 1)
( 1)
x x x
x
− −
−
2
2 2
2 ( 2)
( 1) ( 1)
x x x x
x x
− −
= =
− −
Example 5 Find all critical numbers.
1
)(
2
−
=
x
x
xf
Domain:
=)(' xf
x ≠ 1, x∈R
Critical number: x = 1, x = 0, and x = 2
existnotdoes)1(',0)2(')0(' fff ==
Example
Example 6 Find all critical numbers.
3
2
)4()( += xxf
Domain:
=)(' xf
(–∞, +∞)
3
43
2
+x
Critical number: x = –4
existnotdoes)4(' −f
f’(–4 )
Example
x Left Endpoint Critical Number Critical Number Right Endpoint
f (x) f (–3)= 20 f (–2)= 30 f (4)=–78 f (5)=–68
)4)(2(32463 2
−+=−− xxxx
Example 7 Find the max and min of f on the interval [–3, 5].
2243)( 23
+−−= xxxxf
Domain:
=)(' xf
(–∞, +∞)
Critical number: x = –2 and x = 4
minimummaximum
Graph is not in scale
Practice Of
x Left Endpoint Critical Number Critical Number Right Endpoint
f (x) f (–1)= 7 f (0)= 0 f (1)=–1 f (2)=16
)1(121212 223
−=− xxxx
Example 7 Find the extrema of f on the interval [–1, 2].
34
43)( xxxf −=
Domain:
=)(' xf
(–∞, +∞)
Critical number: x = 0 and x = 1
minimum maximum
Example
Example 8 Find the extrema of f on
the interval [–1, 3].







 −
=−=
3
1
3
1
3
1
1
2
2
2)('
x
x
x
xf
3
2
32)( xxxf −=
Critical number: x = 0 and x = 1
x Left Endpoint Critical Number Critical Number Right Endpoint
f (x) f (–1)= –5 f (0)= 0 f (1)=–1 f (3)=
minimum maximum
24.0936 3
−≈−
f ’(0) does not exist
Practice Of
Example 8 Find the extrema of f on
the interval [0, 2π].
xxxf 2cossin2)( −=
xxxf 2sin2cos2)(' +=
xxx cossin4cos2 +=
)sin21(cos2 xx +=
Critical number: x = π/2, x = 3π/2, x = 7π/6, x = 11π/6
x Left
Endpoint
Critical
Number
Critical
Number
Critical
Number
Critical
Number
Right
Endpoint
f (x) f (0)=–1 f (π/2)=
3
f (7π/6)
=–3/2
f (3π/2)
=–1
f (11π/6)
=–3/2
f (2π) =–
1
minmax min
Summary
Open vs. Closed Intervals
1. An open interval MAY have extrema
2. A closed interval on a continuous curve
will ALWAYS have a minimum and a
maximum value.
3. The min & max may be the same value
 How?
Homework
Section 3.1 page 169 #1,2,13-16,19-24,36,60

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 InformationSharon Henry
 
Lesson 4.1 Extreme Values
Lesson 4.1 Extreme ValuesLesson 4.1 Extreme Values
Lesson 4.1 Extreme ValuesSharon Henry
 
Increasing and decreasing functions ap calc sec 3.3
Increasing and decreasing functions ap calc sec 3.3Increasing and decreasing functions ap calc sec 3.3
Increasing and decreasing functions ap calc sec 3.3Ron Eick
 
5.2 first and second derivative test
5.2 first and second derivative test5.2 first and second derivative test
5.2 first and second derivative testdicosmo178
 
1 5 graphs of functions
1 5 graphs of functions1 5 graphs of functions
1 5 graphs of functionsAlaina Wright
 
Lecture 15 max min - section 4.2
Lecture 15   max min - section 4.2Lecture 15   max min - section 4.2
Lecture 15 max min - section 4.2njit-ronbrown
 
L19 increasing & decreasing functions
L19 increasing & decreasing functionsL19 increasing & decreasing functions
L19 increasing & decreasing functionsJames Tagara
 
Extreme values of a function & applications of derivative
Extreme values of a function & applications of derivativeExtreme values of a function & applications of derivative
Extreme values of a function & applications of derivativeNofal Umair
 
Bisection method in maths 4
Bisection method in maths 4Bisection method in maths 4
Bisection method in maths 4Vaidik Trivedi
 
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 4.3calculusgroup3
 
Lesson 19: The Mean Value Theorem (slides)
Lesson 19: The Mean Value Theorem (slides)Lesson 19: The Mean Value Theorem (slides)
Lesson 19: The Mean Value Theorem (slides)Matthew Leingang
 

What's hot (19)

Lesson 3.3 First Derivative Information
Lesson 3.3 First Derivative InformationLesson 3.3 First Derivative Information
Lesson 3.3 First Derivative Information
 
Calc 3.2b
Calc 3.2bCalc 3.2b
Calc 3.2b
 
Lesson 3.1
Lesson 3.1Lesson 3.1
Lesson 3.1
 
Lesson 4.1 Extreme Values
Lesson 4.1 Extreme ValuesLesson 4.1 Extreme Values
Lesson 4.1 Extreme Values
 
Increasing and decreasing functions ap calc sec 3.3
Increasing and decreasing functions ap calc sec 3.3Increasing and decreasing functions ap calc sec 3.3
Increasing and decreasing functions ap calc sec 3.3
 
Rolle's Theorem
Rolle's TheoremRolle's Theorem
Rolle's Theorem
 
5.2 first and second derivative test
5.2 first and second derivative test5.2 first and second derivative test
5.2 first and second derivative test
 
Mean Value Theorem | Mathematics
Mean Value Theorem | MathematicsMean Value Theorem | Mathematics
Mean Value Theorem | Mathematics
 
1 5 graphs of functions
1 5 graphs of functions1 5 graphs of functions
1 5 graphs of functions
 
Lecture 15 max min - section 4.2
Lecture 15   max min - section 4.2Lecture 15   max min - section 4.2
Lecture 15 max min - section 4.2
 
Mean Value Theorems
Mean Value TheoremsMean Value Theorems
Mean Value Theorems
 
L19 increasing & decreasing functions
L19 increasing & decreasing functionsL19 increasing & decreasing functions
L19 increasing & decreasing functions
 
Extreme values of a function & applications of derivative
Extreme values of a function & applications of derivativeExtreme values of a function & applications of derivative
Extreme values of a function & applications of derivative
 
Application of Derivatives
Application of DerivativesApplication of Derivatives
Application of Derivatives
 
Bisection method in maths 4
Bisection method in maths 4Bisection method in maths 4
Bisection method in maths 4
 
Taylor series
Taylor seriesTaylor series
Taylor series
 
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
 
Bisection
BisectionBisection
Bisection
 
Lesson 19: The Mean Value Theorem (slides)
Lesson 19: The Mean Value Theorem (slides)Lesson 19: The Mean Value Theorem (slides)
Lesson 19: The Mean Value Theorem (slides)
 

Viewers also liked

Meaningful Use: The Fine Print
Meaningful Use: The Fine PrintMeaningful Use: The Fine Print
Meaningful Use: The Fine PrintQualifacts
 
Mx agcrprod
Mx agcrprodMx agcrprod
Mx agcrprodmbaze
 
0.5.derivatives
0.5.derivatives0.5.derivatives
0.5.derivativesm2699
 
5.2.1 trigonometric functions
5.2.1 trigonometric functions5.2.1 trigonometric functions
5.2.1 trigonometric functionsNorthside ISD
 

Viewers also liked (20)

Meaningful Use: The Fine Print
Meaningful Use: The Fine PrintMeaningful Use: The Fine Print
Meaningful Use: The Fine Print
 
Introduction to CTE at JAH
Introduction to CTE at JAHIntroduction to CTE at JAH
Introduction to CTE at JAH
 
Modeling with quadratic functions
Modeling with quadratic functionsModeling with quadratic functions
Modeling with quadratic functions
 
3.1 extrema on an interval
3.1 extrema on an interval3.1 extrema on an interval
3.1 extrema on an interval
 
My Unit Presentation
My Unit PresentationMy Unit Presentation
My Unit Presentation
 
Review
ReviewReview
Review
 
Trigonometric functions of real numbers bender edit
Trigonometric functions of real numbers bender editTrigonometric functions of real numbers bender edit
Trigonometric functions of real numbers bender edit
 
John And Kate Use Synthetic Division
John And Kate Use Synthetic DivisionJohn And Kate Use Synthetic Division
John And Kate Use Synthetic Division
 
Datasheet
DatasheetDatasheet
Datasheet
 
Pi
PiPi
Pi
 
Mx agcrprod
Mx agcrprodMx agcrprod
Mx agcrprod
 
Ogt trig 1_labeling_right_triangles
Ogt trig 1_labeling_right_trianglesOgt trig 1_labeling_right_triangles
Ogt trig 1_labeling_right_triangles
 
The five data questions
The five data questionsThe five data questions
The five data questions
 
The 10 3 model
The 10 3 modelThe 10 3 model
The 10 3 model
 
Linear Approx, Differentials, Newton S Method
Linear  Approx,  Differentials,  Newton S  MethodLinear  Approx,  Differentials,  Newton S  Method
Linear Approx, Differentials, Newton S Method
 
Student Presentation Morning Mentoring 2015
Student Presentation Morning Mentoring 2015Student Presentation Morning Mentoring 2015
Student Presentation Morning Mentoring 2015
 
0.5.derivatives
0.5.derivatives0.5.derivatives
0.5.derivatives
 
Modeling quadratic fxns
Modeling quadratic fxnsModeling quadratic fxns
Modeling quadratic fxns
 
Hyperbolas
HyperbolasHyperbolas
Hyperbolas
 
5.2.1 trigonometric functions
5.2.1 trigonometric functions5.2.1 trigonometric functions
5.2.1 trigonometric functions
 

Similar to 3.1

Opt simple single_000
Opt simple single_000Opt simple single_000
Opt simple single_000sheetslibrary
 
Applications of Differentiation
Applications of DifferentiationApplications of Differentiation
Applications of DifferentiationJoey Valdriz
 
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 11(relative extrema)
Lecture 11(relative extrema)Lecture 11(relative extrema)
Lecture 11(relative extrema)FahadYaqoob5
 
Ap calculus extrema v2
Ap calculus extrema v2Ap calculus extrema v2
Ap calculus extrema v2gregcross22
 
maxima & Minima thoeyr&solved.Module-4pdf
maxima & Minima thoeyr&solved.Module-4pdfmaxima & Minima thoeyr&solved.Module-4pdf
maxima & Minima thoeyr&solved.Module-4pdfRajuSingh806014
 
Application of derivatives
Application of derivativesApplication of derivatives
Application of derivativesindu thakur
 
Chapter 4 review
Chapter 4 reviewChapter 4 review
Chapter 4 reviewgregcross22
 
extremevaluesofafunctionapplicationsofderivative-130905112534-.pdf
extremevaluesofafunctionapplicationsofderivative-130905112534-.pdfextremevaluesofafunctionapplicationsofderivative-130905112534-.pdf
extremevaluesofafunctionapplicationsofderivative-130905112534-.pdfWaqas Mehmood
 
Mac2311 study guide-tcm6-49721
Mac2311 study guide-tcm6-49721Mac2311 study guide-tcm6-49721
Mac2311 study guide-tcm6-49721Glicerio Gavilan
 
Derivatives in graphing-dfs
Derivatives in graphing-dfsDerivatives in graphing-dfs
Derivatives in graphing-dfsFarhana Shaheen
 

Similar to 3.1 (20)

Opt simple single_000
Opt simple single_000Opt simple single_000
Opt simple single_000
 
Applications of Differentiation
Applications of DifferentiationApplications of Differentiation
Applications of Differentiation
 
Lecture 11(relative extrema)
Lecture 11(relative extrema)Lecture 11(relative extrema)
Lecture 11(relative extrema)
 
Lecture 12
Lecture 12Lecture 12
Lecture 12
 
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 12
Lecture 12Lecture 12
Lecture 12
 
Ap calculus extrema v2
Ap calculus extrema v2Ap calculus extrema v2
Ap calculus extrema v2
 
maxima & Minima thoeyr&solved.Module-4pdf
maxima & Minima thoeyr&solved.Module-4pdfmaxima & Minima thoeyr&solved.Module-4pdf
maxima & Minima thoeyr&solved.Module-4pdf
 
Application of derivatives
Application of derivativesApplication of derivatives
Application of derivatives
 
Application of Derivative 5
Application of Derivative 5Application of Derivative 5
Application of Derivative 5
 
Chapter 4 review
Chapter 4 reviewChapter 4 review
Chapter 4 review
 
Calc 3.1
Calc 3.1Calc 3.1
Calc 3.1
 
extremevaluesofafunctionapplicationsofderivative-130905112534-.pdf
extremevaluesofafunctionapplicationsofderivative-130905112534-.pdfextremevaluesofafunctionapplicationsofderivative-130905112534-.pdf
extremevaluesofafunctionapplicationsofderivative-130905112534-.pdf
 
Mac2311 study guide-tcm6-49721
Mac2311 study guide-tcm6-49721Mac2311 study guide-tcm6-49721
Mac2311 study guide-tcm6-49721
 
2301MaxMin.ppt
2301MaxMin.ppt2301MaxMin.ppt
2301MaxMin.ppt
 
Day 1a examples
Day 1a examplesDay 1a examples
Day 1a examples
 
Twinkle
TwinkleTwinkle
Twinkle
 
Derivatives in graphing-dfs
Derivatives in graphing-dfsDerivatives in graphing-dfs
Derivatives in graphing-dfs
 
Limit and continuity
Limit and continuityLimit and continuity
Limit and continuity
 

Recently uploaded

MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsNanddeep Nachan
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024The Digital Insurer
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native ApplicationsWSO2
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWERMadyBayot
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century educationjfdjdjcjdnsjd
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?Igalia
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDropbox
 
A Beginners Guide to Building a RAG App Using Open Source Milvus
A Beginners Guide to Building a RAG App Using Open Source MilvusA Beginners Guide to Building a RAG App Using Open Source Milvus
A Beginners Guide to Building a RAG App Using Open Source MilvusZilliz
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesrafiqahmad00786416
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfOverkill Security
 
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...apidays
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024The Digital Insurer
 
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu SubbuApidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbuapidays
 
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot ModelNavi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot ModelDeepika Singh
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...Zilliz
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdflior mazor
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...apidays
 

Recently uploaded (20)

MS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectorsMS Copilot expands with MS Graph connectors
MS Copilot expands with MS Graph connectors
 
AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024AXA XL - Insurer Innovation Award Americas 2024
AXA XL - Insurer Innovation Award Americas 2024
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
presentation ICT roal in 21st century education
presentation ICT roal in 21st century educationpresentation ICT roal in 21st century education
presentation ICT roal in 21st century education
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
A Beginners Guide to Building a RAG App Using Open Source Milvus
A Beginners Guide to Building a RAG App Using Open Source MilvusA Beginners Guide to Building a RAG App Using Open Source Milvus
A Beginners Guide to Building a RAG App Using Open Source Milvus
 
ICT role in 21st century education and its challenges
ICT role in 21st century education and its challengesICT role in 21st century education and its challenges
ICT role in 21st century education and its challenges
 
Ransomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdfRansomware_Q4_2023. The report. [EN].pdf
Ransomware_Q4_2023. The report. [EN].pdf
 
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
Apidays Singapore 2024 - Scalable LLM APIs for AI and Generative AI Applicati...
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu SubbuApidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
Apidays Singapore 2024 - Modernizing Securities Finance by Madhu Subbu
 
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot ModelNavi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Navi Mumbai Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ..."I see eyes in my soup": How Delivery Hero implemented the safety system for ...
"I see eyes in my soup": How Delivery Hero implemented the safety system for ...
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
Apidays New York 2024 - The Good, the Bad and the Governed by David O'Neill, ...
 
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
+971581248768>> SAFE AND ORIGINAL ABORTION PILLS FOR SALE IN DUBAI AND ABUDHA...
 

3.1

  • 1. 3.1 Extrema On An Interval
  • 2. After this lesson, you should be able to: Understand the definition of extrema of a function on an interval Understand the definition of relative extrema of a function on an open interval Find extrema on a closed interval
  • 4. When the just word minimum or maximum is used, we assume it’s an absolute min or absolute max. Extrema Minimum and maximum values on an interval are called extremes, or extrema on an interval. • The minimum value of the function on an interval is considered the absolute minimum on the interval. • The maximum value of the function on an interval is considered the absolute maximum on the interval.
  • 5. OPEN intervals – Do the following have extrema? On an open interval, the max. or the min. may or may not exist even if the function is continuous on this interval.
  • 6. CLOSED intervals – Do the following have extrema? On a closed interval, both max. and min. exist if the function is continuous on this interval.
  • 7. The Extreme Value Theorem (EVT) Theorem 3.1: If f is continuous on a closed interval [a, b], then f has both a minimum and a maximum on the interval. In other words, if f is continuous on a closed interval, f must have a min and a max value. Max-Min f is continuous on [a, b] a b
  • 8. Example Example 1 Let f (x) = x2 – 5x – 6 on the closed interval [–1, 6], find the extreme values.
  • 9. Example Example 2 Let f (x) = x3 + 2x2 – x – 2 on the closed interval [–3, 1], find the extreme values.
  • 10. Example Example 3 Let f (x) = x3 + 2x2 – x – 2 on the closed interval [–3, 2], find the extreme values. The (absolute)max and (absolute)min of f on [a, b] occur either at an endpoint of [a, b] or at a point in (a, b).
  • 11. Relative Extrema and Critical Numbers (AP may use Local Extrema)
  • 12.
  • 13. 1. If there is an open interval containing c on which f (c) is a maximum, then f (c) is a local maximum of f. 2. If there is an open interval containing c on which f (c) is a minimum, then f (c) is a local minimum of f. When you look at the entire graph (domain), there may be no absolute extrema, but there could be many relative extrema. What is the slope at each extreme value????
  • 14. Definition of a Critical Number and Figure 3.4
  • 15. Critical Numbers c is a critical number for f iff: 1. f (c) is defined (c is in the domain of f ) 2. f ’(c) = 0 or f ’(c) = does not exist Theorem 3.2 If f has a relative max. or relative min, at x = c, then c must be a critical number for f. 1. The (absolute)max and (absolute)min of f on [a, b] occur either at an endpoint of [a, b] or at a critical number in (a, b). So…. Relative extrema can only occur at critical values, but not all critical values are extrema. Explain this statement.Explain this statement.
  • 16. Make sure f is continuous on [a, b]. 1. Find the critical numbers of f(x) in (a, b). This is where the derivative = 0 or is undefined. 2. Evaluate f(x) at each critical numbers in (a, b). 3. Evaluate f(x) at each endpoint in [a, b]. 4. The least of these values (outputs) is the minimum. The greatest is the maximum. **Make sure you give the y-value this is the extreme value!** Guidelines
  • 17. Critical Numbers 1. Make sure f is continuous on [a, b]. 2. Find all critical numbers c1, c2, c3…cnof f which are in (a, b) where f’(x) = 0 or f’(x) is undefined. 3. Evaluate f(a), f(b), f(c1), f(c2), …f(cn). 4. The largest and smallest values in part 2 are the max and min of f on [a, b]. To find the max and min of f on [a, b]:
  • 18. Example 60426 2 +− xx Example 4 Find all critical numbers 460212)( 23 −+−= xxxxf Domain: =)(' xf )5)(2(6 −−= xx (–∞, +∞) Critical number: x = 2 and x = 5
  • 19. Example 2 2 2 ( 1) ( 1) x x x x − − − 2 2 2 2 ( 2) ( 1) ( 1) x x x x x x − − = = − − Example 5 Find all critical numbers. 1 )( 2 − = x x xf Domain: =)(' xf x ≠ 1, x∈R Critical number: x = 1, x = 0, and x = 2 existnotdoes)1(',0)2(')0(' fff ==
  • 20. Example Example 6 Find all critical numbers. 3 2 )4()( += xxf Domain: =)(' xf (–∞, +∞) 3 43 2 +x Critical number: x = –4 existnotdoes)4(' −f f’(–4 )
  • 21. Example x Left Endpoint Critical Number Critical Number Right Endpoint f (x) f (–3)= 20 f (–2)= 30 f (4)=–78 f (5)=–68 )4)(2(32463 2 −+=−− xxxx Example 7 Find the max and min of f on the interval [–3, 5]. 2243)( 23 +−−= xxxxf Domain: =)(' xf (–∞, +∞) Critical number: x = –2 and x = 4 minimummaximum Graph is not in scale
  • 22. Practice Of x Left Endpoint Critical Number Critical Number Right Endpoint f (x) f (–1)= 7 f (0)= 0 f (1)=–1 f (2)=16 )1(121212 223 −=− xxxx Example 7 Find the extrema of f on the interval [–1, 2]. 34 43)( xxxf −= Domain: =)(' xf (–∞, +∞) Critical number: x = 0 and x = 1 minimum maximum
  • 23. Example Example 8 Find the extrema of f on the interval [–1, 3].         − =−= 3 1 3 1 3 1 1 2 2 2)(' x x x xf 3 2 32)( xxxf −= Critical number: x = 0 and x = 1 x Left Endpoint Critical Number Critical Number Right Endpoint f (x) f (–1)= –5 f (0)= 0 f (1)=–1 f (3)= minimum maximum 24.0936 3 −≈− f ’(0) does not exist
  • 24. Practice Of Example 8 Find the extrema of f on the interval [0, 2π]. xxxf 2cossin2)( −= xxxf 2sin2cos2)(' += xxx cossin4cos2 += )sin21(cos2 xx += Critical number: x = π/2, x = 3π/2, x = 7π/6, x = 11π/6 x Left Endpoint Critical Number Critical Number Critical Number Critical Number Right Endpoint f (x) f (0)=–1 f (π/2)= 3 f (7π/6) =–3/2 f (3π/2) =–1 f (11π/6) =–3/2 f (2π) =– 1 minmax min
  • 25. Summary Open vs. Closed Intervals 1. An open interval MAY have extrema 2. A closed interval on a continuous curve will ALWAYS have a minimum and a maximum value. 3. The min & max may be the same value  How?
  • 26. Homework Section 3.1 page 169 #1,2,13-16,19-24,36,60