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4.5 Modeling with
       Exponential and
         Logarithmic
          Functions
Mark 5:35-36  While he was still speaking, there came from the
ruler’s house some who said, “Your daughter is dead. Why trouble
the Teacher any further?” But overhearing what they said, Jesus
said to the ruler of the synagogue, “Do not fear, only believe.”
I recommend you read and understand all
      the examples in this section ...
           they are good ones!!
Exponential Growth Model
Exponential Growth Model
A population that has exponential growth
    increases according to the model
                               rt
              n ( t ) = no e
Exponential Growth Model
A population that has exponential growth
    increases according to the model
                                rt
               n ( t ) = no e
  n ( t ) ↔ population at time t
Exponential Growth Model
A population that has exponential growth
    increases according to the model
                                rt
               n ( t ) = no e
  n ( t ) ↔ population at time t
  no ↔ original population
Exponential Growth Model
A population that has exponential growth
    increases according to the model
                                rt
               n ( t ) = no e
  n ( t ) ↔ population at time t
  no ↔ original population
  r ↔ rate of growth
Exponential Growth Model
A population that has exponential growth
    increases according to the model
                                rt
               n ( t ) = no e
  n ( t ) ↔ population at time t
  no ↔ original population
  r ↔ rate of growth
  t ↔ time
1. (see handout)
1. (see handout)
  a) n ( t ) = 400e.4t
1. (see handout)
  a) n ( t ) = 400e.4t


  b)   n (10 ) = 400e .4(10)


             ≈ 21,800
2. (see handout)
2. (see handout)
  a) 4700 = no e   .55t
2. (see handout)
  a) 4700 = no e    .55t


          4700
      no = .55(9)
          e
2. (see handout)
  a) 4700 = no e    .55t


           4700
      no = .55(9)
           e
      no ≈ 33
2. (see handout)
  a) 4700 = no e     .55t


            4700
       no = .55(9)
            e
       no ≈ 33

  b)   n ( 20 ) = 33e  .55(20)
2. (see handout)
  a) 4700 = no e     .55t


            4700
       no = .55(9)
            e
       no ≈ 33

  b)   n ( 20 ) = 33e  .55(20)


              ≈ 1,975,847
2. (see handout)
                                 Do you think the
  a) 4700 = no e     .55t
                                 population would ever
            4700                 get to that value?
       no = .55(9)
            e
       no ≈ 33

  b)   n ( 20 ) = 33e  .55(20)


              ≈ 1,975,847
2. (see handout)
                                 Do you think the
  a) 4700 = no e     .55t
                                 population would ever
            4700                 get to that value?
       no = .55(9)
            e
                                      Read about
       no ≈ 33
                                    Logistic Growth
                                     on page 392
  b)   n ( 20 ) = 33e  .55(20)


              ≈ 1,975,847
3. (see handout)
3. (see handout)
  a) 2300 = 200e   18r
3. (see handout)
  a) 2300 = 200e   18r


       23 18r
         =e
       2
3. (see handout)
  a) 2300 = 200e    18r


          23 18r
              =e
          2
       ⎛ 23 ⎞
    ln ⎜ ⎟ = 18r ln e
       ⎝ 2 ⎠
3. (see handout)
  a) 2300 = 200e     18r


          23 18r
              =e
          2
       ⎛ 23 ⎞
    ln ⎜ ⎟ = 18r ln e
       ⎝ 2 ⎠
       ⎛ 23 ⎞
    ln ⎜ ⎟
       ⎝ 2 ⎠
                =r
        18
3. (see handout)
  a) 2300 = 200e    18r


          23 18r
              =e
          2
       ⎛ 23 ⎞
    ln ⎜ ⎟ = 18r ln e
       ⎝ 2 ⎠
      ⎛ 23 ⎞
   ln ⎜ ⎟
      ⎝ 2 ⎠
               =r
       18
   r ≈ .13568 or ≈ 14%
3. (see handout)
  a) 2300 = 200e    18r


          23 18r
              =e          b)          .14t
                               P = 200e
          2
       ⎛ 23 ⎞
    ln ⎜ ⎟ = 18r ln e
       ⎝ 2 ⎠
      ⎛ 23 ⎞
   ln ⎜ ⎟
      ⎝ 2 ⎠
               =r
       18
   r ≈ .13568 or ≈ 14%
HW #10
A man who wants to lead the orchestra must
turn his back on the crowd.
                             Max Lucado

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0411 ch 4 day 11

  • 1. 4.5 Modeling with Exponential and Logarithmic Functions Mark 5:35-36  While he was still speaking, there came from the ruler’s house some who said, “Your daughter is dead. Why trouble the Teacher any further?” But overhearing what they said, Jesus said to the ruler of the synagogue, “Do not fear, only believe.”
  • 2. I recommend you read and understand all the examples in this section ... they are good ones!!
  • 4. Exponential Growth Model A population that has exponential growth increases according to the model rt n ( t ) = no e
  • 5. Exponential Growth Model A population that has exponential growth increases according to the model rt n ( t ) = no e n ( t ) ↔ population at time t
  • 6. Exponential Growth Model A population that has exponential growth increases according to the model rt n ( t ) = no e n ( t ) ↔ population at time t no ↔ original population
  • 7. Exponential Growth Model A population that has exponential growth increases according to the model rt n ( t ) = no e n ( t ) ↔ population at time t no ↔ original population r ↔ rate of growth
  • 8. Exponential Growth Model A population that has exponential growth increases according to the model rt n ( t ) = no e n ( t ) ↔ population at time t no ↔ original population r ↔ rate of growth t ↔ time
  • 10. 1. (see handout) a) n ( t ) = 400e.4t
  • 11. 1. (see handout) a) n ( t ) = 400e.4t b) n (10 ) = 400e .4(10) ≈ 21,800
  • 13. 2. (see handout) a) 4700 = no e .55t
  • 14. 2. (see handout) a) 4700 = no e .55t 4700 no = .55(9) e
  • 15. 2. (see handout) a) 4700 = no e .55t 4700 no = .55(9) e no ≈ 33
  • 16. 2. (see handout) a) 4700 = no e .55t 4700 no = .55(9) e no ≈ 33 b) n ( 20 ) = 33e .55(20)
  • 17. 2. (see handout) a) 4700 = no e .55t 4700 no = .55(9) e no ≈ 33 b) n ( 20 ) = 33e .55(20) ≈ 1,975,847
  • 18. 2. (see handout) Do you think the a) 4700 = no e .55t population would ever 4700 get to that value? no = .55(9) e no ≈ 33 b) n ( 20 ) = 33e .55(20) ≈ 1,975,847
  • 19. 2. (see handout) Do you think the a) 4700 = no e .55t population would ever 4700 get to that value? no = .55(9) e Read about no ≈ 33 Logistic Growth on page 392 b) n ( 20 ) = 33e .55(20) ≈ 1,975,847
  • 21. 3. (see handout) a) 2300 = 200e 18r
  • 22. 3. (see handout) a) 2300 = 200e 18r 23 18r =e 2
  • 23. 3. (see handout) a) 2300 = 200e 18r 23 18r =e 2 ⎛ 23 ⎞ ln ⎜ ⎟ = 18r ln e ⎝ 2 ⎠
  • 24. 3. (see handout) a) 2300 = 200e 18r 23 18r =e 2 ⎛ 23 ⎞ ln ⎜ ⎟ = 18r ln e ⎝ 2 ⎠ ⎛ 23 ⎞ ln ⎜ ⎟ ⎝ 2 ⎠ =r 18
  • 25. 3. (see handout) a) 2300 = 200e 18r 23 18r =e 2 ⎛ 23 ⎞ ln ⎜ ⎟ = 18r ln e ⎝ 2 ⎠ ⎛ 23 ⎞ ln ⎜ ⎟ ⎝ 2 ⎠ =r 18 r ≈ .13568 or ≈ 14%
  • 26. 3. (see handout) a) 2300 = 200e 18r 23 18r =e b) .14t P = 200e 2 ⎛ 23 ⎞ ln ⎜ ⎟ = 18r ln e ⎝ 2 ⎠ ⎛ 23 ⎞ ln ⎜ ⎟ ⎝ 2 ⎠ =r 18 r ≈ .13568 or ≈ 14%
  • 27. HW #10 A man who wants to lead the orchestra must turn his back on the crowd. Max Lucado

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