SlideShare a Scribd company logo
1 of 27
THE CALCULUS CRUSADERS
Accumulation Functions: The Beetles Question
.:. THE QUESTION .:.
E(t) is the rate of which the beetles rush into the
chamber, whereas L(t) is the rate of which the
beetles rush out of the chamber. Both E(t) and L(t)
are measured in beetles per minute.
.:. THE QUESTION .:.
At t = 0, Jamie hears the noise of the
beetles. The beetles start rushing in and out
of the chamber at t = 1.84.

However, Bench estimates that everyone
must escape the chamber until t = 15.17.

(After t = 15.17, the beetles would have
filled up the chamber completely.)
.:. THE QUESTION .:.
a)   How many beetles have entered the
     chamber at t = 10?

b)   With all these beetles filling up the
     chamber, Bench, Jamie, and Zeph have limited space.
     3 m3 of the chamber is filled up for every beetle that
     enters the chamber until t = 10. After t = 10, 5 m3 of
     the chamber is filled up for every beetle that enters the
     chamber. How many cubic metres of the chamber
     would be filled up with beetles at t = 15.17?
.:. THE QUESTION .:.
c)   Let H(t) for 1.84 ≤ t ≤ 15.17. Determine
     H’(10) and explain the meaning of H’(10).

d)   At what time, during 1.84 ≤ t ≤ 15.17, will
     H(t) reach a maximum?
PART A
How many beetles have entered the chamber at t = 10?
.:. THE SOLUTION .:.
E(t) is measured in beetles per minute. To obtain an
answer in beetles, we multiply beetles per minute
by a change in time. This is the definition of an
integral. This way of thinking is called a unit
analysis.
.:. THE SOLUTION .:.
We know the domain is 1.84 ≤ t ≤ 15.17. We know
the upper limit of what we are integrating is t = 10.
PART B
With all these beetles filling up the chamber, Bench,
Jamie, and Zeph have limited space. 3 m3 of the
chamber is filled up for every beetle that enters the
chamber until t = 10. After t = 10, 5 m3 of the chamber
is filled up for every beetle that enters the chamber.
How many cubic metres of the chamber would be filled
up with beetles at t = 15.17?
.:. THE SOLUTION .:.
NOTE THAT:

“3 m3 of the chamber is filled up for every beetle
that enters the chamber until t = 10. After t = 10,
5 m3 of the chamber is filled up for every beetle
that enters the chamber.”
.:. THE SOLUTION .:.
Because of the statement written in the question, the
rates of the chamber filling up with beetles are two
different rates. Therefore, we integrate the function E(t)
from the intervals where beetles would accumulate at
the rate of 3m3 and 5m3.
PART C
Let H(t) for 1.84 ≤ t ≤ 15.17. Determine H’(10) and
explain the meaning of H’(10).
.:. THE SOLUTION .:.
H(t) is defined as the integral of the
difference of L(x) and E(x).

(Integrating beetles per minutes gives us beetles as
discussed in Part A.)
.:. THE SOLUTION .:.

We are to determine H’(t). In this case, we are
differentiating an anti derivative. (Note the quot;∫quot;.)
Differentiation and anti differentiation can be seen
as inverse processes of each other; The derivative
of x2 is 2x; an antiderivative of 2x is x2.
.:. THE SOLUTION .:.

Not only are we differentiating an
antiderivative, we’re differentiating an
accumulation function, a function that
measures the accumulating area under a
graph.
.:. THE SOLUTION .:.
 The derivative of an accumulation function is the
 original function, by The Second Fundamental
 Theorem of Calculus.

The Second Fundamental Theorem of Calculus:
 If f is continuous in a closed interval, A’(x) = f(x),
 where A(x) is the accumulation function and f(x)
 is the original function.
.:. THE SOLUTION .:.
We can see there is a function within a
function in s(t). (Note there are two
variables, t and x.)

To differentiate a function within a
function, we use The Chain Rule.
.:. THE SOLUTION .:.

The Chain Rule: [fg]’(x) = f’(g(x))g’(x)
.:. THE SOLUTION .:.
Since H’(t) is a transcendental function, a function
that contains an exponential function and a
trigonometric function, we cannot apply the algebra
we know to solve for the roots of v’(t), so we have
to use our calculator and solve numerically.
.:. THE SOLUTION .:.



H’(10) is the rate at which the number
of beetles in the chamber is changing.
The number of beetles in the chamber
is increasing at approximately beetles
per minute.
PART D
At what time, during 1.84 ≤ t ≤ 15.17, will H(t) reach a
maximum?
.:. THE SOLUTION .:.



By The First Derivative Test, the critical
point of a derivative indicates the
original function has a local extrema.
.:. THE SOLUTION .:.
The First Derivative Test
 If c is a critical number and if f’ changes sign at
  x = c, then
 f has a local minimum at x = c if f’ is negative to
  the left of c and positive to the right of c;
 f has a local maximum at c if f’ is positive to the
  left of c and negative to the right of c.
.:. THE SOLUTION .:.

Using our calculator’s features to
determine roots and intersections, we
find that t = 1.8400082 minutes.
.:. THE SOLUTION .:.
  By The Extreme Value Theorem, the endpoints are
  considered local extrema too. (In this case, the
  critical number found previously is also an
  endpoint.)

The Extreme Value Theorem
 If the function f is continuous on the interval
  [a, b], then there exist numbers c and d in [a,b]
  such that for all x in [a, b], f(c) ≤ f(x) and f(d) ≥
  f(x).
.:. THE SOLUTION .:.



Looking at all the local extrema, we
find that H(15.17) yields the largest
number, the absolute maximum.
AAAAH!!!! BEETLES!

More Related Content

What's hot (6)

8.1.5example1
8.1.5example18.1.5example1
8.1.5example1
 
Ge Mlec1
Ge Mlec1Ge Mlec1
Ge Mlec1
 
Reconstruction
ReconstructionReconstruction
Reconstruction
 
Day 9 examples u4w14
Day 9 examples u4w14Day 9 examples u4w14
Day 9 examples u4w14
 
Math House SW
Math House SWMath House SW
Math House SW
 
Integrals by Trigonometric Substitution, Part 2
Integrals by Trigonometric Substitution, Part 2Integrals by Trigonometric Substitution, Part 2
Integrals by Trigonometric Substitution, Part 2
 

Viewers also liked (8)

Dora and Her Game of Go Fish Part 2
Dora and Her Game of Go Fish Part 2Dora and Her Game of Go Fish Part 2
Dora and Her Game of Go Fish Part 2
 
Dora and Her Game of Go Fish Part 1
Dora and Her Game of Go Fish Part 1Dora and Her Game of Go Fish Part 1
Dora and Her Game of Go Fish Part 1
 
Antiderivatives, differential equations, and slope fields
Antiderivatives, differential equations, and slope fieldsAntiderivatives, differential equations, and slope fields
Antiderivatives, differential equations, and slope fields
 
Jornada2016
Jornada2016Jornada2016
Jornada2016
 
Jamie's Bird Got Poisoned
Jamie's Bird Got PoisonedJamie's Bird Got Poisoned
Jamie's Bird Got Poisoned
 
The Bird's Poop
The Bird's PoopThe Bird's Poop
The Bird's Poop
 
Jamie's Bird Got Poisoned
Jamie's Bird Got PoisonedJamie's Bird Got Poisoned
Jamie's Bird Got Poisoned
 
Anxa Corporate Presentation 2010 (english version)
Anxa Corporate Presentation 2010 (english version)Anxa Corporate Presentation 2010 (english version)
Anxa Corporate Presentation 2010 (english version)
 

Similar to Beetles! Run!

The Calculus Crusaders Analysing A Deriv
The Calculus Crusaders Analysing A DerivThe Calculus Crusaders Analysing A Deriv
The Calculus Crusaders Analysing A Deriv
azn_punkyfish07
 
Fibonacci_Hubble
Fibonacci_HubbleFibonacci_Hubble
Fibonacci_Hubble
Marc King
 

Similar to Beetles! Run! (20)

Bench Can Breakdance?
Bench Can Breakdance?Bench Can Breakdance?
Bench Can Breakdance?
 
unit 4,5 (1).docx
unit 4,5 (1).docxunit 4,5 (1).docx
unit 4,5 (1).docx
 
The Calculus Crusaders Analysing A Deriv
The Calculus Crusaders Analysing A DerivThe Calculus Crusaders Analysing A Deriv
The Calculus Crusaders Analysing A Deriv
 
Signal Processing Homework Help
Signal Processing Homework HelpSignal Processing Homework Help
Signal Processing Homework Help
 
Notes 17
Notes 17Notes 17
Notes 17
 
Online Signals and Systems Assignment Help
Online Signals and Systems Assignment HelpOnline Signals and Systems Assignment Help
Online Signals and Systems Assignment Help
 
DSP_FOEHU - MATLAB 02 - The Discrete-time Fourier Analysis
DSP_FOEHU - MATLAB 02 - The Discrete-time Fourier AnalysisDSP_FOEHU - MATLAB 02 - The Discrete-time Fourier Analysis
DSP_FOEHU - MATLAB 02 - The Discrete-time Fourier Analysis
 
01_AJMS_277_20_20210128_V1.pdf
01_AJMS_277_20_20210128_V1.pdf01_AJMS_277_20_20210128_V1.pdf
01_AJMS_277_20_20210128_V1.pdf
 
On Generalized Classical Fréchet Derivatives in the Real Banach Space
On Generalized Classical Fréchet Derivatives in the Real Banach SpaceOn Generalized Classical Fréchet Derivatives in the Real Banach Space
On Generalized Classical Fréchet Derivatives in the Real Banach Space
 
Problems
ProblemsProblems
Problems
 
Problems
ProblemsProblems
Problems
 
Signals And Systems Assignment Help
Signals And Systems Assignment HelpSignals And Systems Assignment Help
Signals And Systems Assignment Help
 
Fourier Analysis
Fourier AnalysisFourier Analysis
Fourier Analysis
 
Fourier Analysis
Fourier AnalysisFourier Analysis
Fourier Analysis
 
Diff. call lessons
Diff. call lessonsDiff. call lessons
Diff. call lessons
 
Chap8_Sec5.ppt
Chap8_Sec5.pptChap8_Sec5.ppt
Chap8_Sec5.ppt
 
Fibonacci_Hubble
Fibonacci_HubbleFibonacci_Hubble
Fibonacci_Hubble
 
Btech admission in india
Btech admission in indiaBtech admission in india
Btech admission in india
 
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
 
Algorithm Assignment Help
Algorithm Assignment HelpAlgorithm Assignment Help
Algorithm Assignment Help
 

Recently uploaded

The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
heathfieldcps1
 
Salient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functionsSalient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functions
KarakKing
 

Recently uploaded (20)

Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
Sensory_Experience_and_Emotional_Resonance_in_Gabriel_Okaras_The_Piano_and_Th...
 
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxPython Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docx
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)
 
Interdisciplinary_Insights_Data_Collection_Methods.pptx
Interdisciplinary_Insights_Data_Collection_Methods.pptxInterdisciplinary_Insights_Data_Collection_Methods.pptx
Interdisciplinary_Insights_Data_Collection_Methods.pptx
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
 
FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024FSB Advising Checklist - Orientation 2024
FSB Advising Checklist - Orientation 2024
 
General Principles of Intellectual Property: Concepts of Intellectual Proper...
General Principles of Intellectual Property: Concepts of Intellectual  Proper...General Principles of Intellectual Property: Concepts of Intellectual  Proper...
General Principles of Intellectual Property: Concepts of Intellectual Proper...
 
The basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptxThe basics of sentences session 3pptx.pptx
The basics of sentences session 3pptx.pptx
 
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
 
Wellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptxWellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptx
 
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
 
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdfUnit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
 
Holdier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdfHoldier Curriculum Vitae (April 2024).pdf
Holdier Curriculum Vitae (April 2024).pdf
 
This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.This PowerPoint helps students to consider the concept of infinity.
This PowerPoint helps students to consider the concept of infinity.
 
ICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptxICT Role in 21st Century Education & its Challenges.pptx
ICT Role in 21st Century Education & its Challenges.pptx
 
Salient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functionsSalient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functions
 
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptxSKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
SKILL OF INTRODUCING THE LESSON MICRO SKILLS.pptx
 
Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...Making communications land - Are they received and understood as intended? we...
Making communications land - Are they received and understood as intended? we...
 
Single or Multiple melodic lines structure
Single or Multiple melodic lines structureSingle or Multiple melodic lines structure
Single or Multiple melodic lines structure
 
Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024Mehran University Newsletter Vol-X, Issue-I, 2024
Mehran University Newsletter Vol-X, Issue-I, 2024
 

Beetles! Run!

  • 1. THE CALCULUS CRUSADERS Accumulation Functions: The Beetles Question
  • 2. .:. THE QUESTION .:. E(t) is the rate of which the beetles rush into the chamber, whereas L(t) is the rate of which the beetles rush out of the chamber. Both E(t) and L(t) are measured in beetles per minute.
  • 3. .:. THE QUESTION .:. At t = 0, Jamie hears the noise of the beetles. The beetles start rushing in and out of the chamber at t = 1.84. However, Bench estimates that everyone must escape the chamber until t = 15.17. (After t = 15.17, the beetles would have filled up the chamber completely.)
  • 4. .:. THE QUESTION .:. a) How many beetles have entered the chamber at t = 10? b) With all these beetles filling up the chamber, Bench, Jamie, and Zeph have limited space. 3 m3 of the chamber is filled up for every beetle that enters the chamber until t = 10. After t = 10, 5 m3 of the chamber is filled up for every beetle that enters the chamber. How many cubic metres of the chamber would be filled up with beetles at t = 15.17?
  • 5. .:. THE QUESTION .:. c) Let H(t) for 1.84 ≤ t ≤ 15.17. Determine H’(10) and explain the meaning of H’(10). d) At what time, during 1.84 ≤ t ≤ 15.17, will H(t) reach a maximum?
  • 6. PART A How many beetles have entered the chamber at t = 10?
  • 7. .:. THE SOLUTION .:. E(t) is measured in beetles per minute. To obtain an answer in beetles, we multiply beetles per minute by a change in time. This is the definition of an integral. This way of thinking is called a unit analysis.
  • 8. .:. THE SOLUTION .:. We know the domain is 1.84 ≤ t ≤ 15.17. We know the upper limit of what we are integrating is t = 10.
  • 9. PART B With all these beetles filling up the chamber, Bench, Jamie, and Zeph have limited space. 3 m3 of the chamber is filled up for every beetle that enters the chamber until t = 10. After t = 10, 5 m3 of the chamber is filled up for every beetle that enters the chamber. How many cubic metres of the chamber would be filled up with beetles at t = 15.17?
  • 10. .:. THE SOLUTION .:. NOTE THAT: “3 m3 of the chamber is filled up for every beetle that enters the chamber until t = 10. After t = 10, 5 m3 of the chamber is filled up for every beetle that enters the chamber.”
  • 11. .:. THE SOLUTION .:. Because of the statement written in the question, the rates of the chamber filling up with beetles are two different rates. Therefore, we integrate the function E(t) from the intervals where beetles would accumulate at the rate of 3m3 and 5m3.
  • 12. PART C Let H(t) for 1.84 ≤ t ≤ 15.17. Determine H’(10) and explain the meaning of H’(10).
  • 13. .:. THE SOLUTION .:. H(t) is defined as the integral of the difference of L(x) and E(x). (Integrating beetles per minutes gives us beetles as discussed in Part A.)
  • 14. .:. THE SOLUTION .:. We are to determine H’(t). In this case, we are differentiating an anti derivative. (Note the quot;∫quot;.) Differentiation and anti differentiation can be seen as inverse processes of each other; The derivative of x2 is 2x; an antiderivative of 2x is x2.
  • 15. .:. THE SOLUTION .:. Not only are we differentiating an antiderivative, we’re differentiating an accumulation function, a function that measures the accumulating area under a graph.
  • 16. .:. THE SOLUTION .:. The derivative of an accumulation function is the original function, by The Second Fundamental Theorem of Calculus. The Second Fundamental Theorem of Calculus: If f is continuous in a closed interval, A’(x) = f(x), where A(x) is the accumulation function and f(x) is the original function.
  • 17. .:. THE SOLUTION .:. We can see there is a function within a function in s(t). (Note there are two variables, t and x.) To differentiate a function within a function, we use The Chain Rule.
  • 18. .:. THE SOLUTION .:. The Chain Rule: [fg]’(x) = f’(g(x))g’(x)
  • 19. .:. THE SOLUTION .:. Since H’(t) is a transcendental function, a function that contains an exponential function and a trigonometric function, we cannot apply the algebra we know to solve for the roots of v’(t), so we have to use our calculator and solve numerically.
  • 20. .:. THE SOLUTION .:. H’(10) is the rate at which the number of beetles in the chamber is changing. The number of beetles in the chamber is increasing at approximately beetles per minute.
  • 21. PART D At what time, during 1.84 ≤ t ≤ 15.17, will H(t) reach a maximum?
  • 22. .:. THE SOLUTION .:. By The First Derivative Test, the critical point of a derivative indicates the original function has a local extrema.
  • 23. .:. THE SOLUTION .:. The First Derivative Test  If c is a critical number and if f’ changes sign at x = c, then  f has a local minimum at x = c if f’ is negative to the left of c and positive to the right of c;  f has a local maximum at c if f’ is positive to the left of c and negative to the right of c.
  • 24. .:. THE SOLUTION .:. Using our calculator’s features to determine roots and intersections, we find that t = 1.8400082 minutes.
  • 25. .:. THE SOLUTION .:. By The Extreme Value Theorem, the endpoints are considered local extrema too. (In this case, the critical number found previously is also an endpoint.) The Extreme Value Theorem  If the function f is continuous on the interval [a, b], then there exist numbers c and d in [a,b] such that for all x in [a, b], f(c) ≤ f(x) and f(d) ≥ f(x).
  • 26. .:. THE SOLUTION .:. Looking at all the local extrema, we find that H(15.17) yields the largest number, the absolute maximum.