SlideShare a Scribd company logo
1 of 9
That’s the “mean old” value theorem for those of you who can be threatened by it!
The problem with graphing is. . .  Sometimes the graph is misleading! Try graphing  It appears to have a maximum at x = 1.  Evaluate at x = 1.  You will find that f(1) = 0, not 1.  Analytical analysis is necessary to get the whole story
Rolle’s Theorem applies to things “on the level”.  The Mean Value Theorem applies to things that tilt! In other words, the slope of the tangent line for at least one point in the interval HAS to match up to the slope of the secant line between endpoints of the interval!  “  Mean” refers to average rate of change
The Mean Value theorem has some direct use in problem solving, but its main strength is its use in proving other theorems.  The theorem guarantees the existence of a tangent line parallel to the secant line between endpoints. It also implies that there must be a point in the interval (a, b) at which the instantaneous rate of change is equal to the average rate of change over the interval [a, b]
Example 3  p. 175  Finding a tangent line Give f(x) = 5 – (4/x), find all values of c in the open interval (1,4) such that  Solution:  The slope of secant line through (1, f(1)) and (4, f(4)) is  because  the function f  satisfies conditions of mean value theorem, there has to exist at least one number c in interval (1, 4) such that f ’(c)= 1. Set this slope function equal to 1.  So x=   2 In the interval (1,4),  let c = 2
 
Ex 4, p. 175  Finding an instantaneous rate of change Two police cars equipped with radar are parked 5 miles apart on a highway.  As a truck passes the first car, its speed is clocked at 55 miles per hour.  Four minutes later, when it passes the second car, its speed is clocked at 50 miles per hour.  Did the truck exceed the speed limit of 55 miles per hour at some time in that 4 minutes?
Solution: Let t=0 be the time the truck passed the first patrol car.  Then t = 4/60 would be time in hours when it passes the second patrol car. Let s(t) represent position.  Then s(0) = 0 and s(1/15) = 5 Due to mean value theorem (assuming s(t) is differentiable) there has to be a time when truck traveled 75 mph in elapsed time of four minutes.
Alternate form -  if f is continuous on [a, b] and differentiable on (a.b), there exists a number c in (a, b) such that  Assignment p. 176/33-45 EOO, 51-59 odd, 73-75

More Related Content

What's hot

Rolle's theorem, mean value theorem
Rolle's theorem, mean value theoremRolle's theorem, mean value theorem
Rolle's theorem, mean value theorem
Tarun Gehlot
 
3.1 Extreme Values of Functions
3.1 Extreme Values of Functions3.1 Extreme Values of Functions
3.1 Extreme Values of Functions
Sharon Henry
 
Practicle application of maxima and minima
Practicle application of maxima and minimaPracticle application of maxima and minima
Practicle application of maxima and minima
British Council
 
L19 increasing & decreasing functions
L19 increasing & decreasing functionsL19 increasing & decreasing functions
L19 increasing & decreasing functions
James Tagara
 

What's hot (19)

Rolle's Theorem
Rolle's TheoremRolle's Theorem
Rolle's Theorem
 
Taylor series
Taylor seriesTaylor series
Taylor series
 
Application of Derivatives
Application of DerivativesApplication of Derivatives
Application of Derivatives
 
Rolle's theorem, mean value theorem
Rolle's theorem, mean value theoremRolle's theorem, mean value theorem
Rolle's theorem, mean value theorem
 
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
 
Application of derivatives
Application of derivativesApplication of derivatives
Application of derivatives
 
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
 
Maxima & Minima for IIT JEE | askIITians
Maxima & Minima for IIT JEE | askIITiansMaxima & Minima for IIT JEE | askIITians
Maxima & Minima for IIT JEE | askIITians
 
3.1 Extreme Values of Functions
3.1 Extreme Values of Functions3.1 Extreme Values of Functions
3.1 Extreme Values of Functions
 
Practicle application of maxima and minima
Practicle application of maxima and minimaPracticle application of maxima and minima
Practicle application of maxima and minima
 
3.1
3.13.1
3.1
 
Maximums and minimum
Maximums and minimum Maximums and minimum
Maximums and minimum
 
Newton cotes integration method
Newton cotes integration  methodNewton cotes integration  method
Newton cotes integration method
 
Mth3101 Advanced Calculus Chapter 1
Mth3101 Advanced Calculus Chapter 1Mth3101 Advanced Calculus Chapter 1
Mth3101 Advanced Calculus Chapter 1
 
Mvtword
MvtwordMvtword
Mvtword
 
Application of derivatives
Application of derivatives Application of derivatives
Application of derivatives
 
Concepts of Maxima And Minima
Concepts of Maxima And MinimaConcepts of Maxima And Minima
Concepts of Maxima And Minima
 
L19 increasing & decreasing functions
L19 increasing & decreasing functionsL19 increasing & decreasing functions
L19 increasing & decreasing functions
 
Open newton cotes quadrature with midpoint derivative for integration of al...
Open newton   cotes quadrature with midpoint derivative for integration of al...Open newton   cotes quadrature with midpoint derivative for integration of al...
Open newton cotes quadrature with midpoint derivative for integration of al...
 

Similar to Calc 3.2b

Mean Value Theorem explained with examples.pptx
Mean Value Theorem explained with examples.pptxMean Value Theorem explained with examples.pptx
Mean Value Theorem explained with examples.pptx
vandijkvvd4
 
Calculus Final Review Joshua Conyers
Calculus Final Review Joshua ConyersCalculus Final Review Joshua Conyers
Calculus Final Review Joshua Conyers
jcon44
 
Kinematics of a particle
Kinematics of a particle Kinematics of a particle
Kinematics of a particle
shaifulawie77
 

Similar to Calc 3.2b (20)

Mean Value Theorem explained with examples.pptx
Mean Value Theorem explained with examples.pptxMean Value Theorem explained with examples.pptx
Mean Value Theorem explained with examples.pptx
 
Calc 2.1
Calc 2.1Calc 2.1
Calc 2.1
 
Calculus Final Review Joshua Conyers
Calculus Final Review Joshua ConyersCalculus Final Review Joshua Conyers
Calculus Final Review Joshua Conyers
 
Rate of change and tangent lines
Rate of change and tangent linesRate of change and tangent lines
Rate of change and tangent lines
 
Chap4_Sec2.ppt
Chap4_Sec2.pptChap4_Sec2.ppt
Chap4_Sec2.ppt
 
Design and Analysis of Algorithms Assignment Help
Design and Analysis of Algorithms Assignment HelpDesign and Analysis of Algorithms Assignment Help
Design and Analysis of Algorithms Assignment Help
 
03 time and motion
03 time and motion03 time and motion
03 time and motion
 
MVT mean value theorem نظرية القيمة المتوسطة
MVT mean value theorem نظرية القيمة المتوسطةMVT mean value theorem نظرية القيمة المتوسطة
MVT mean value theorem نظرية القيمة المتوسطة
 
Design and Analysis of Algorithms Exam Help
Design and Analysis of Algorithms Exam HelpDesign and Analysis of Algorithms Exam Help
Design and Analysis of Algorithms Exam Help
 
Lecture co4 math21-1
Lecture co4 math21-1Lecture co4 math21-1
Lecture co4 math21-1
 
Kinematics of a particle
Kinematics of a particle Kinematics of a particle
Kinematics of a particle
 
Hssc ii introduction of limits
Hssc ii   introduction of limitsHssc ii   introduction of limits
Hssc ii introduction of limits
 
Derivatie class 12
Derivatie class 12Derivatie class 12
Derivatie class 12
 
Mathematical blog #2
Mathematical blog #2Mathematical blog #2
Mathematical blog #2
 
Mathematical blog #2
Mathematical blog #2Mathematical blog #2
Mathematical blog #2
 
Numerical method for pricing american options under regime
Numerical method for pricing american options under regime Numerical method for pricing american options under regime
Numerical method for pricing american options under regime
 
OPERATIONS RESEARCH
OPERATIONS RESEARCHOPERATIONS RESEARCH
OPERATIONS RESEARCH
 
Unit-8.pdf
Unit-8.pdfUnit-8.pdf
Unit-8.pdf
 
Limits BY ATC
Limits BY ATCLimits BY ATC
Limits BY ATC
 
Limits BY ATC
Limits BY ATCLimits BY ATC
Limits BY ATC
 

More from hartcher (20)

Binomial distributions
Binomial distributionsBinomial distributions
Binomial distributions
 
10.2 using combinations and the binomial theorem
10.2 using combinations and the binomial theorem10.2 using combinations and the binomial theorem
10.2 using combinations and the binomial theorem
 
Calc 3.4b
Calc 3.4bCalc 3.4b
Calc 3.4b
 
2.6b scatter plots and lines of best fit
2.6b scatter plots and lines of best fit2.6b scatter plots and lines of best fit
2.6b scatter plots and lines of best fit
 
Ap and dual enrollment presentation
Ap and dual enrollment presentationAp and dual enrollment presentation
Ap and dual enrollment presentation
 
Ap and Dual Enrollment Presentation
Ap and Dual Enrollment PresentationAp and Dual Enrollment Presentation
Ap and Dual Enrollment Presentation
 
AP and Dual Enrollment Presentation
AP and Dual Enrollment PresentationAP and Dual Enrollment Presentation
AP and Dual Enrollment Presentation
 
Ap and dual enrollment presentation final
Ap and dual enrollment presentation   finalAp and dual enrollment presentation   final
Ap and dual enrollment presentation final
 
7.4 A arc length
7.4 A arc length7.4 A arc length
7.4 A arc length
 
Calc 2.2b
Calc 2.2bCalc 2.2b
Calc 2.2b
 
Calc 8.7 again
Calc 8.7 againCalc 8.7 again
Calc 8.7 again
 
Calc 8.7 l'hopital
Calc 8.7 l'hopitalCalc 8.7 l'hopital
Calc 8.7 l'hopital
 
Calc 2.6
Calc 2.6Calc 2.6
Calc 2.6
 
Calc 6.1b
Calc 6.1bCalc 6.1b
Calc 6.1b
 
Calc 6.1a
Calc 6.1aCalc 6.1a
Calc 6.1a
 
Calc 7.3a
Calc 7.3aCalc 7.3a
Calc 7.3a
 
Calc 7.3b
Calc 7.3bCalc 7.3b
Calc 7.3b
 
Calc 7.2a
Calc 7.2aCalc 7.2a
Calc 7.2a
 
Calc 7.2b
Calc 7.2bCalc 7.2b
Calc 7.2b
 
Calc 7.1b
Calc 7.1bCalc 7.1b
Calc 7.1b
 

Recently uploaded

Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
panagenda
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Safe Software
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Victor Rentea
 
+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...
?#DUbAI#??##{{(☎️+971_581248768%)**%*]'#abortion pills for sale in dubai@
 

Recently uploaded (20)

Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
Apidays New York 2024 - APIs in 2030: The Risk of Technological Sleepwalk by ...
 
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data DiscoveryTrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
AI+A11Y 11MAY2024 HYDERBAD GAAD 2024 - HelloA11Y (11 May 2024)
 
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
 
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
 
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, ...
 
Six Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal OntologySix Myths about Ontologies: The Basics of Formal Ontology
Six Myths about Ontologies: The Basics of Formal Ontology
 
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUKSpring Boot vs Quarkus the ultimate battle - DevoxxUK
Spring Boot vs Quarkus the ultimate battle - DevoxxUK
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
DBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor PresentationDBX First Quarter 2024 Investor Presentation
DBX First Quarter 2024 Investor Presentation
 
AWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of TerraformAWS Community Day CPH - Three problems of Terraform
AWS Community Day CPH - Three problems of Terraform
 
AI in Action: Real World Use Cases by Anitaraj
AI in Action: Real World Use Cases by AnitarajAI in Action: Real World Use Cases by Anitaraj
AI in Action: Real World Use Cases by Anitaraj
 
Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
+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...
 

Calc 3.2b

  • 1. That’s the “mean old” value theorem for those of you who can be threatened by it!
  • 2. The problem with graphing is. . . Sometimes the graph is misleading! Try graphing It appears to have a maximum at x = 1. Evaluate at x = 1. You will find that f(1) = 0, not 1. Analytical analysis is necessary to get the whole story
  • 3. Rolle’s Theorem applies to things “on the level”. The Mean Value Theorem applies to things that tilt! In other words, the slope of the tangent line for at least one point in the interval HAS to match up to the slope of the secant line between endpoints of the interval! “ Mean” refers to average rate of change
  • 4. The Mean Value theorem has some direct use in problem solving, but its main strength is its use in proving other theorems. The theorem guarantees the existence of a tangent line parallel to the secant line between endpoints. It also implies that there must be a point in the interval (a, b) at which the instantaneous rate of change is equal to the average rate of change over the interval [a, b]
  • 5. Example 3 p. 175 Finding a tangent line Give f(x) = 5 – (4/x), find all values of c in the open interval (1,4) such that Solution: The slope of secant line through (1, f(1)) and (4, f(4)) is because the function f satisfies conditions of mean value theorem, there has to exist at least one number c in interval (1, 4) such that f ’(c)= 1. Set this slope function equal to 1. So x=  2 In the interval (1,4), let c = 2
  • 6.  
  • 7. Ex 4, p. 175 Finding an instantaneous rate of change Two police cars equipped with radar are parked 5 miles apart on a highway. As a truck passes the first car, its speed is clocked at 55 miles per hour. Four minutes later, when it passes the second car, its speed is clocked at 50 miles per hour. Did the truck exceed the speed limit of 55 miles per hour at some time in that 4 minutes?
  • 8. Solution: Let t=0 be the time the truck passed the first patrol car. Then t = 4/60 would be time in hours when it passes the second patrol car. Let s(t) represent position. Then s(0) = 0 and s(1/15) = 5 Due to mean value theorem (assuming s(t) is differentiable) there has to be a time when truck traveled 75 mph in elapsed time of four minutes.
  • 9. Alternate form - if f is continuous on [a, b] and differentiable on (a.b), there exists a number c in (a, b) such that Assignment p. 176/33-45 EOO, 51-59 odd, 73-75