SlideShare a Scribd company logo
Section 6-6
Solving Exponential Equations
Warm-up
GIVE FIVE PAIRS (X, Y) OF NUMBERS FOR WHICH YOU CAN DETERMINE EXACT SOLUTIONS TO
                                   THE EQUATION:
                                     y
                                  15 = x
Warm-up
GIVE FIVE PAIRS (X, Y) OF NUMBERS FOR WHICH YOU CAN DETERMINE EXACT SOLUTIONS TO
                                   THE EQUATION:
                                      y
                                  15 = x
               HOW ABOUT (1, 0), (15, 1), (225, 2), (3375, 3), ETC.
Warm-up
GIVE FIVE PAIRS (X, Y) OF NUMBERS FOR WHICH YOU CAN DETERMINE EXACT SOLUTIONS TO
                                   THE EQUATION:
                                      y
                                  15 = x
               HOW ABOUT (1, 0), (15, 1), (225, 2), (3375, 3), ETC.


                  ALL OF THESE ANSWERS ALSO FIT THE EQUATION:

                                 y = log15 x
Exponential Equation
Exponential Equation


 AN EQUATION THAT HAS A VARIABLE IN THE EXPONENT
Blog Question
Blog Question

HOW ARE EXPONENTIAL EQUATIONS AND LOGARITHMIC EQUATIONS
                       RELATED?
Example 1
  IF 2t = 3, FIND t TO THE NEAREST HUNDREDTH.
Example 1
          IF 2t = 3, FIND t TO THE NEAREST HUNDREDTH.

REWRITING AS A LOGARITHM DOESN’T SEEM TO DO ANYTHING FOR US.
Example 1
          IF 2t = 3, FIND t TO THE NEAREST HUNDREDTH.

REWRITING AS A LOGARITHM DOESN’T SEEM TO DO ANYTHING FOR US.
                          log2 3 = t
Example 1
            IF 2t = 3, FIND t TO THE NEAREST HUNDREDTH.

  REWRITING AS A LOGARITHM DOESN’T SEEM TO DO ANYTHING FOR US.
                            log2 3 = t
WHAT ABOUT TAKING THE LOGARITHM OF EACH SIDE OF THE EXPONENTIAL?
Example 1
            IF 2t = 3, FIND t TO THE NEAREST HUNDREDTH.

  REWRITING AS A LOGARITHM DOESN’T SEEM TO DO ANYTHING FOR US.
                            log2 3 = t
WHAT ABOUT TAKING THE LOGARITHM OF EACH SIDE OF THE EXPONENTIAL?
                               t
                             2 =3
Example 1
            IF 2t = 3, FIND t TO THE NEAREST HUNDREDTH.

  REWRITING AS A LOGARITHM DOESN’T SEEM TO DO ANYTHING FOR US.
                            log2 3 = t
WHAT ABOUT TAKING THE LOGARITHM OF EACH SIDE OF THE EXPONENTIAL?
                               t
                             2 =3
                               t
                          log 2 = log 3
Example 1
            IF 2t = 3, FIND t TO THE NEAREST HUNDREDTH.

  REWRITING AS A LOGARITHM DOESN’T SEEM TO DO ANYTHING FOR US.
                            log2 3 = t
WHAT ABOUT TAKING THE LOGARITHM OF EACH SIDE OF THE EXPONENTIAL?
                               t
                             2 =3
                               t
                         log 2 = log 3
                         t log 2 = log 3
Example 1
            IF 2t = 3, FIND t TO THE NEAREST HUNDREDTH.

  REWRITING AS A LOGARITHM DOESN’T SEEM TO DO ANYTHING FOR US.
                            log2 3 = t
WHAT ABOUT TAKING THE LOGARITHM OF EACH SIDE OF THE EXPONENTIAL?
                               t
                             2 =3
                               t
                         log 2 = log 3
                         t log 2 = log 3
                          log 2 log 2
Example 1
            IF 2t = 3, FIND t TO THE NEAREST HUNDREDTH.

  REWRITING AS A LOGARITHM DOESN’T SEEM TO DO ANYTHING FOR US.
                            log2 3 = t
WHAT ABOUT TAKING THE LOGARITHM OF EACH SIDE OF THE EXPONENTIAL?
                               t
                             2 =3
                               t
                         log 2 = log 3
                         t log 2 = log 3
                          log 2 log 2
                                   log3
                            t = log2
Example 1
            IF 2t = 3, FIND t TO THE NEAREST HUNDREDTH.

  REWRITING AS A LOGARITHM DOESN’T SEEM TO DO ANYTHING FOR US.
                            log2 3 = t
WHAT ABOUT TAKING THE LOGARITHM OF EACH SIDE OF THE EXPONENTIAL?
                               t
                             2 =3
                               t
                         log 2 = log 3
                         t log 2 = log 3
                          log 2 log 2
                            t = log2 ≈ 1.58
                                   log3
Change of Base
Theorem
Change of Base
Theorem
FOR ALL VALUES OF a, b, AND c WHERE THE LOGS EXIST:

                       logc a  ln a
              logb a =       =
                       logc b ln b
Change of Base
   Theorem
     FOR ALL VALUES OF a, b, AND c WHERE THE LOGS EXIST:

                            logc a  ln a
                   logb a =       =
                            logc b ln b

THIS MEANS WE CAN SOLVE ANY LOGARITHM USING COMMON LOGS OR
                       NATURAL LOGS
Example 2
        EVALUATE:
Example 2
             EVALUATE:
  log17 34
Example 2
             EVALUATE:
  log17 34

    log 34
  =
    log17
Example 2
             EVALUATE:
  log17 34

    log 34
  =
    log17



  ≈ 1.24
Example 2
             EVALUATE:
  log17 34               log17 34

    log 34
  =
    log17



  ≈ 1.24
Example 2
             EVALUATE:
  log17 34               log17 34

    log 34                 ln 34
  =                      =
    log17                  ln17



  ≈ 1.24
Example 2
             EVALUATE:
  log17 34               log17 34

    log 34                 ln 34
  =                      =
    log17                  ln17



  ≈ 1.24                 ≈ 1.24
Example 3
  THE POPULATION OF THE US REACHED 250 MILLION IN 1990 AND WAS
GROWING AT ABOUT 1% PER YEAR. USE THE FORMULA A(t) = Pert TO FIND
   WHEN, AT THIS GROWTH RATE, THE POPULATION WOULD REACH 300
          MILLION. HOW DOES THIS PROJECTION HOLD UP?
Example 3
  THE POPULATION OF THE US REACHED 250 MILLION IN 1990 AND WAS
GROWING AT ABOUT 1% PER YEAR. USE THE FORMULA A(t) = Pert TO FIND
   WHEN, AT THIS GROWTH RATE, THE POPULATION WOULD REACH 300
          MILLION. HOW DOES THIS PROJECTION HOLD UP?
                                       rt
                         A (t ) = Pe
Example 3
  THE POPULATION OF THE US REACHED 250 MILLION IN 1990 AND WAS
GROWING AT ABOUT 1% PER YEAR. USE THE FORMULA A(t) = Pert TO FIND
   WHEN, AT THIS GROWTH RATE, THE POPULATION WOULD REACH 300
          MILLION. HOW DOES THIS PROJECTION HOLD UP?
                                       rt
                         A (t ) = Pe
                                                 .01t
            300,000,000 = 250,000,000e
Example 3
  THE POPULATION OF THE US REACHED 250 MILLION IN 1990 AND WAS
GROWING AT ABOUT 1% PER YEAR. USE THE FORMULA A(t) = Pert TO FIND
   WHEN, AT THIS GROWTH RATE, THE POPULATION WOULD REACH 300
          MILLION. HOW DOES THIS PROJECTION HOLD UP?
                                       rt
                         A (t ) = Pe
                                                 .01t
            300,000,000 = 250,000,000e
            250,000,000 250,000,000
Example 3
  THE POPULATION OF THE US REACHED 250 MILLION IN 1990 AND WAS
GROWING AT ABOUT 1% PER YEAR. USE THE FORMULA A(t) = Pert TO FIND
   WHEN, AT THIS GROWTH RATE, THE POPULATION WOULD REACH 300
          MILLION. HOW DOES THIS PROJECTION HOLD UP?
                                       rt
                         A (t ) = Pe
                                                 .01t
            300,000,000 = 250,000,000e
            250,000,000 250,000,000
                              .01t
                      1.2 = e
Example 3
  THE POPULATION OF THE US REACHED 250 MILLION IN 1990 AND WAS
GROWING AT ABOUT 1% PER YEAR. USE THE FORMULA A(t) = Pert TO FIND
   WHEN, AT THIS GROWTH RATE, THE POPULATION WOULD REACH 300
          MILLION. HOW DOES THIS PROJECTION HOLD UP?
                                       rt
                         A (t ) = Pe
                                                 .01t
            300,000,000 = 250,000,000e
            250,000,000 250,000,000
                              .01t
                      1.2 = e
                                   .01t
                    ln1.2 = ln e
Example 3
  THE POPULATION OF THE US REACHED 250 MILLION IN 1990 AND WAS
GROWING AT ABOUT 1% PER YEAR. USE THE FORMULA A(t) = Pert TO FIND
   WHEN, AT THIS GROWTH RATE, THE POPULATION WOULD REACH 300
          MILLION. HOW DOES THIS PROJECTION HOLD UP?
                                       rt
                         A (t ) = Pe
                                                 .01t
            300,000,000 = 250,000,000e
            250,000,000 250,000,000
                              .01t
                      1.2 = e
                                   .01t
                    ln1.2 = ln e
    ln1.2 = .01t
Example 3
  THE POPULATION OF THE US REACHED 250 MILLION IN 1990 AND WAS
GROWING AT ABOUT 1% PER YEAR. USE THE FORMULA A(t) = Pert TO FIND
   WHEN, AT THIS GROWTH RATE, THE POPULATION WOULD REACH 300
          MILLION. HOW DOES THIS PROJECTION HOLD UP?
                                        rt
                         A (t ) = Pe
                                                 .01t
            300,000,000 = 250,000,000e
            250,000,000 250,000,000
                              .01t
                      1.2 = e
                                   .01t
                    ln1.2 = ln e
    ln1.2 = .01t          t=    ln1.2
                                 .01
Example 3
  THE POPULATION OF THE US REACHED 250 MILLION IN 1990 AND WAS
GROWING AT ABOUT 1% PER YEAR. USE THE FORMULA A(t) = Pert TO FIND
   WHEN, AT THIS GROWTH RATE, THE POPULATION WOULD REACH 300
          MILLION. HOW DOES THIS PROJECTION HOLD UP?
                                        rt
                         A (t ) = Pe
                                                 .01t
            300,000,000 = 250,000,000e
            250,000,000 250,000,000
                              .01t
                      1.2 = e
                                   .01t
                    ln1.2 = ln e
    ln1.2 = .01t          t=    ln1.2
                                 .01
                                             t ≈ 18
Example 3
  THE POPULATION OF THE US REACHED 250 MILLION IN 1990 AND WAS
GROWING AT ABOUT 1% PER YEAR. USE THE FORMULA A(t) = Pert TO FIND
   WHEN, AT THIS GROWTH RATE, THE POPULATION WOULD REACH 300
          MILLION. HOW DOES THIS PROJECTION HOLD UP?
                                        rt
                         A (t ) = Pe
                                                 .01t
            300,000,000 = 250,000,000e
            250,000,000 250,000,000
                              .01t
                      1.2 = e
                                   .01t
                    ln1.2 = ln e
    ln1.2 = .01t          t=    ln1.2
                                 .01
                                             t ≈ 18 YEARS
Example 4
     IN SECTION 6-2, THE FORMULA T(p) = 10p0.585 IS GIVEN FOR THE
 APPROXIMATE TIME T(p) IT TAKES TO MICROWAVE p PORTIONS OF FOOD,
ASSUMING THAT DOUBLING THE NUMBER OF PORTIONS REQUIRES COOKING
  TIME TO BE MULTIPLIED BY 1.5. THE FORMULA WAS SAID TO HAVE BEEN
DEDUCED FROM THE FACT THAT 1 PORTION REQUIRED 10 MINUTES TO COOK
 AND 2 PORTIONS REQUIRED 15 MINUTES. SHOW HOW THIS FORMULA WAS
  CALCULATED FROM THE ASSUMPTION THAT THERE WAS A MODEL OF THE
                          FORM T(p) = 10px.
                 x                                  x
     T (1) = 10i1 = 10                  T (2) = 10i2 = 15
Example 4
     IN SECTION 6-2, THE FORMULA T(p) = 10p0.585 IS GIVEN FOR THE
 APPROXIMATE TIME T(p) IT TAKES TO MICROWAVE p PORTIONS OF FOOD,
ASSUMING THAT DOUBLING THE NUMBER OF PORTIONS REQUIRES COOKING
  TIME TO BE MULTIPLIED BY 1.5. THE FORMULA WAS SAID TO HAVE BEEN
DEDUCED FROM THE FACT THAT 1 PORTION REQUIRED 10 MINUTES TO COOK
 AND 2 PORTIONS REQUIRED 15 MINUTES. SHOW HOW THIS FORMULA WAS
  CALCULATED FROM THE ASSUMPTION THAT THERE WAS A MODEL OF THE
                          FORM T(p) = 10px.
                 x                                  x
     T (1) = 10i1 = 10                  T (2) = 10i2 = 15
            x
           1 =1
Example 4
     IN SECTION 6-2, THE FORMULA T(p) = 10p0.585 IS GIVEN FOR THE
 APPROXIMATE TIME T(p) IT TAKES TO MICROWAVE p PORTIONS OF FOOD,
ASSUMING THAT DOUBLING THE NUMBER OF PORTIONS REQUIRES COOKING
  TIME TO BE MULTIPLIED BY 1.5. THE FORMULA WAS SAID TO HAVE BEEN
DEDUCED FROM THE FACT THAT 1 PORTION REQUIRED 10 MINUTES TO COOK
 AND 2 PORTIONS REQUIRED 15 MINUTES. SHOW HOW THIS FORMULA WAS
  CALCULATED FROM THE ASSUMPTION THAT THERE WAS A MODEL OF THE
                          FORM T(p) = 10px.
                 x                                  x
     T (1) = 10i1 = 10                  T (2) = 10i2 = 15
            x
           1 =1
         log1= 0
Example 4
     IN SECTION 6-2, THE FORMULA T(p) = 10p0.585 IS GIVEN FOR THE
 APPROXIMATE TIME T(p) IT TAKES TO MICROWAVE p PORTIONS OF FOOD,
ASSUMING THAT DOUBLING THE NUMBER OF PORTIONS REQUIRES COOKING
  TIME TO BE MULTIPLIED BY 1.5. THE FORMULA WAS SAID TO HAVE BEEN
DEDUCED FROM THE FACT THAT 1 PORTION REQUIRED 10 MINUTES TO COOK
 AND 2 PORTIONS REQUIRED 15 MINUTES. SHOW HOW THIS FORMULA WAS
  CALCULATED FROM THE ASSUMPTION THAT THERE WAS A MODEL OF THE
                          FORM T(p) = 10px.
                 x                                  x
     T (1) = 10i1 = 10                  T (2) = 10i2 = 15
            x
           1 =1
         log1= 0
       THIS WON’T HELP
Example 4
     IN SECTION 6-2, THE FORMULA T(p) = 10p0.585 IS GIVEN FOR THE
 APPROXIMATE TIME T(p) IT TAKES TO MICROWAVE p PORTIONS OF FOOD,
ASSUMING THAT DOUBLING THE NUMBER OF PORTIONS REQUIRES COOKING
  TIME TO BE MULTIPLIED BY 1.5. THE FORMULA WAS SAID TO HAVE BEEN
DEDUCED FROM THE FACT THAT 1 PORTION REQUIRED 10 MINUTES TO COOK
 AND 2 PORTIONS REQUIRED 15 MINUTES. SHOW HOW THIS FORMULA WAS
  CALCULATED FROM THE ASSUMPTION THAT THERE WAS A MODEL OF THE
                          FORM T(p) = 10px.
                 x                                  x
     T (1) = 10i1 = 10                  T (2) = 10i2 = 15
            x                                 x
           1 =1                              2 = 1.5
         log1= 0
       THIS WON’T HELP
Example 4
     IN SECTION 6-2, THE FORMULA T(p) = 10p0.585 IS GIVEN FOR THE
 APPROXIMATE TIME T(p) IT TAKES TO MICROWAVE p PORTIONS OF FOOD,
ASSUMING THAT DOUBLING THE NUMBER OF PORTIONS REQUIRES COOKING
  TIME TO BE MULTIPLIED BY 1.5. THE FORMULA WAS SAID TO HAVE BEEN
DEDUCED FROM THE FACT THAT 1 PORTION REQUIRED 10 MINUTES TO COOK
 AND 2 PORTIONS REQUIRED 15 MINUTES. SHOW HOW THIS FORMULA WAS
  CALCULATED FROM THE ASSUMPTION THAT THERE WAS A MODEL OF THE
                          FORM T(p) = 10px.
                 x                                  x
     T (1) = 10i1 = 10                  T (2) = 10i2 = 15
            x                                 x
           1 =1                              2 = 1.5
         log1= 0                           log2 1.5 = x
       THIS WON’T HELP
Example 4
     IN SECTION 6-2, THE FORMULA T(p) = 10p0.585 IS GIVEN FOR THE
 APPROXIMATE TIME T(p) IT TAKES TO MICROWAVE p PORTIONS OF FOOD,
ASSUMING THAT DOUBLING THE NUMBER OF PORTIONS REQUIRES COOKING
  TIME TO BE MULTIPLIED BY 1.5. THE FORMULA WAS SAID TO HAVE BEEN
DEDUCED FROM THE FACT THAT 1 PORTION REQUIRED 10 MINUTES TO COOK
 AND 2 PORTIONS REQUIRED 15 MINUTES. SHOW HOW THIS FORMULA WAS
  CALCULATED FROM THE ASSUMPTION THAT THERE WAS A MODEL OF THE
                          FORM T(p) = 10px.
                 x                                  x
     T (1) = 10i1 = 10                  T (2) = 10i2 = 15
            x                                 x
           1 =1                              2 = 1.5
         log1= 0                           log2 1.5 = x
                                           log1.5
       THIS WON’T HELP                   =
                                            log 2
Example 4
     IN SECTION 6-2, THE FORMULA T(p) = 10p0.585 IS GIVEN FOR THE
 APPROXIMATE TIME T(p) IT TAKES TO MICROWAVE p PORTIONS OF FOOD,
ASSUMING THAT DOUBLING THE NUMBER OF PORTIONS REQUIRES COOKING
  TIME TO BE MULTIPLIED BY 1.5. THE FORMULA WAS SAID TO HAVE BEEN
DEDUCED FROM THE FACT THAT 1 PORTION REQUIRED 10 MINUTES TO COOK
 AND 2 PORTIONS REQUIRED 15 MINUTES. SHOW HOW THIS FORMULA WAS
  CALCULATED FROM THE ASSUMPTION THAT THERE WAS A MODEL OF THE
                          FORM T(p) = 10px.
                 x                                   x
     T (1) = 10i1 = 10                  T (2) = 10i2 = 15
            x                                 x
           1 =1                              2 = 1.5
         log1= 0                           log2 1.5 = x
                                           log1.5
       THIS WON’T HELP                   =
                                            log 2
                                                    ≈ .585
Homework
Homework


     P. 406 #1-20

More Related Content

Viewers also liked

Int Math 2 Section 8-2
Int Math 2 Section 8-2Int Math 2 Section 8-2
Int Math 2 Section 8-2
Jimbo Lamb
 
Int Math 2 Section 2-2 1011
Int Math 2 Section 2-2 1011Int Math 2 Section 2-2 1011
Int Math 2 Section 2-2 1011
Jimbo Lamb
 
Int Math 2 Section 5-4 1011
Int Math 2 Section 5-4 1011Int Math 2 Section 5-4 1011
Int Math 2 Section 5-4 1011
Jimbo Lamb
 
AA Section 6-1
AA Section 6-1AA Section 6-1
AA Section 6-1
Jimbo Lamb
 
Int Math 2 Section 6-9 1011
Int Math 2 Section 6-9 1011Int Math 2 Section 6-9 1011
Int Math 2 Section 6-9 1011
Jimbo Lamb
 
Integrated Math 2 Section 1-7
Integrated Math 2 Section 1-7Integrated Math 2 Section 1-7
Integrated Math 2 Section 1-7
Jimbo Lamb
 
Algebra 1B Section 5-3
Algebra 1B Section 5-3Algebra 1B Section 5-3
Algebra 1B Section 5-3
Jimbo Lamb
 
Notes 5-8
Notes 5-8Notes 5-8
Notes 5-8
Jimbo Lamb
 
Integrated Math 2 Section 8-7
Integrated Math 2 Section 8-7Integrated Math 2 Section 8-7
Integrated Math 2 Section 8-7
Jimbo Lamb
 
Integrated Math 2 Section 4-4
Integrated Math 2 Section 4-4Integrated Math 2 Section 4-4
Integrated Math 2 Section 4-4
Jimbo Lamb
 
Integrated Math 2: Section 1-3
Integrated Math 2: Section 1-3Integrated Math 2: Section 1-3
Integrated Math 2: Section 1-3
Jimbo Lamb
 

Viewers also liked (11)

Int Math 2 Section 8-2
Int Math 2 Section 8-2Int Math 2 Section 8-2
Int Math 2 Section 8-2
 
Int Math 2 Section 2-2 1011
Int Math 2 Section 2-2 1011Int Math 2 Section 2-2 1011
Int Math 2 Section 2-2 1011
 
Int Math 2 Section 5-4 1011
Int Math 2 Section 5-4 1011Int Math 2 Section 5-4 1011
Int Math 2 Section 5-4 1011
 
AA Section 6-1
AA Section 6-1AA Section 6-1
AA Section 6-1
 
Int Math 2 Section 6-9 1011
Int Math 2 Section 6-9 1011Int Math 2 Section 6-9 1011
Int Math 2 Section 6-9 1011
 
Integrated Math 2 Section 1-7
Integrated Math 2 Section 1-7Integrated Math 2 Section 1-7
Integrated Math 2 Section 1-7
 
Algebra 1B Section 5-3
Algebra 1B Section 5-3Algebra 1B Section 5-3
Algebra 1B Section 5-3
 
Notes 5-8
Notes 5-8Notes 5-8
Notes 5-8
 
Integrated Math 2 Section 8-7
Integrated Math 2 Section 8-7Integrated Math 2 Section 8-7
Integrated Math 2 Section 8-7
 
Integrated Math 2 Section 4-4
Integrated Math 2 Section 4-4Integrated Math 2 Section 4-4
Integrated Math 2 Section 4-4
 
Integrated Math 2: Section 1-3
Integrated Math 2: Section 1-3Integrated Math 2: Section 1-3
Integrated Math 2: Section 1-3
 

Similar to Notes 6-6

Unit 3.5
Unit 3.5Unit 3.5
Unit 3.5
Mark Ryder
 
Logarithm_CH.Logarithim questionsghjhjhpptx
Logarithm_CH.Logarithim questionsghjhjhpptxLogarithm_CH.Logarithim questionsghjhjhpptx
Logarithm_CH.Logarithim questionsghjhjhpptx
RahulTyagi878663
 
Logarithm_CH.Logarithim questionsghjhjhpptx
Logarithm_CH.Logarithim questionsghjhjhpptxLogarithm_CH.Logarithim questionsghjhjhpptx
Logarithm_CH.Logarithim questionsghjhjhpptx
RahulTyagi878663
 
Chapter 31 logarithms
Chapter 31 logarithmsChapter 31 logarithms
Chapter 31 logarithms
Sarah Sue Calbio
 
3 Applications Of Differential Equations
3 Applications Of Differential Equations3 Applications Of Differential Equations
3 Applications Of Differential Equations
Jeff Nelson
 
CS Fundamentals: Scalability and Memory
CS Fundamentals: Scalability and MemoryCS Fundamentals: Scalability and Memory
CS Fundamentals: Scalability and Memory
Haseeb Qureshi
 
Structure of unital 3-fields, by S.Duplij, W.Werner
Structure of unital 3-fields, by S.Duplij, W.WernerStructure of unital 3-fields, by S.Duplij, W.Werner
Structure of unital 3-fields, by S.Duplij, W.Werner
Steven Duplij (Stepan Douplii)
 
Lesson 15: Exponential Growth and Decay (slides)
Lesson 15: Exponential Growth and Decay (slides)Lesson 15: Exponential Growth and Decay (slides)
Lesson 15: Exponential Growth and Decay (slides)
Matthew Leingang
 
Lesson 15: Exponential Growth and Decay (slides)
Lesson 15: Exponential Growth and Decay (slides)Lesson 15: Exponential Growth and Decay (slides)
Lesson 15: Exponential Growth and Decay (slides)
Mel Anthony Pepito
 
Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 021 ...
Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 021 ...Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 021 ...
Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 021 ...
Mel Anthony Pepito
 
Notes 6-7
Notes 6-7Notes 6-7
Notes 6-7
Jimbo Lamb
 
Week 7
Week 7Week 7
Week 7
EasyStudy3
 
Differential Equations 4th Edition Blanchard Solutions Manual
Differential Equations 4th Edition Blanchard Solutions ManualDifferential Equations 4th Edition Blanchard Solutions Manual
Differential Equations 4th Edition Blanchard Solutions Manual
qyfuc
 
Day 7 examples u3w14
Day 7 examples u3w14Day 7 examples u3w14
Day 7 examples u3w14jchartiersjsd
 

Similar to Notes 6-6 (20)

Unit 3.5
Unit 3.5Unit 3.5
Unit 3.5
 
Logarithm_CH.Logarithim questionsghjhjhpptx
Logarithm_CH.Logarithim questionsghjhjhpptxLogarithm_CH.Logarithim questionsghjhjhpptx
Logarithm_CH.Logarithim questionsghjhjhpptx
 
Logarithm_CH.Logarithim questionsghjhjhpptx
Logarithm_CH.Logarithim questionsghjhjhpptxLogarithm_CH.Logarithim questionsghjhjhpptx
Logarithm_CH.Logarithim questionsghjhjhpptx
 
Notes 17
Notes 17Notes 17
Notes 17
 
Chapter 31 logarithms
Chapter 31 logarithmsChapter 31 logarithms
Chapter 31 logarithms
 
3 Applications Of Differential Equations
3 Applications Of Differential Equations3 Applications Of Differential Equations
3 Applications Of Differential Equations
 
CS Fundamentals: Scalability and Memory
CS Fundamentals: Scalability and MemoryCS Fundamentals: Scalability and Memory
CS Fundamentals: Scalability and Memory
 
Structure of unital 3-fields, by S.Duplij, W.Werner
Structure of unital 3-fields, by S.Duplij, W.WernerStructure of unital 3-fields, by S.Duplij, W.Werner
Structure of unital 3-fields, by S.Duplij, W.Werner
 
0411 ch 4 day 11
0411 ch 4 day 110411 ch 4 day 11
0411 ch 4 day 11
 
Lesson 15: Exponential Growth and Decay (slides)
Lesson 15: Exponential Growth and Decay (slides)Lesson 15: Exponential Growth and Decay (slides)
Lesson 15: Exponential Growth and Decay (slides)
 
Lesson 15: Exponential Growth and Decay (slides)
Lesson 15: Exponential Growth and Decay (slides)Lesson 15: Exponential Growth and Decay (slides)
Lesson 15: Exponential Growth and Decay (slides)
 
Math12 lesson11
Math12 lesson11Math12 lesson11
Math12 lesson11
 
Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 021 ...
Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 021 ...Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 021 ...
Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 021 ...
 
Math12 lesson11
Math12 lesson11Math12 lesson11
Math12 lesson11
 
Notes 6-7
Notes 6-7Notes 6-7
Notes 6-7
 
Analysis of algo
Analysis of algoAnalysis of algo
Analysis of algo
 
Week 7
Week 7Week 7
Week 7
 
Differential Equations 4th Edition Blanchard Solutions Manual
Differential Equations 4th Edition Blanchard Solutions ManualDifferential Equations 4th Edition Blanchard Solutions Manual
Differential Equations 4th Edition Blanchard Solutions Manual
 
Day 7 examples u3w14
Day 7 examples u3w14Day 7 examples u3w14
Day 7 examples u3w14
 
Logarithmic functions (2)
Logarithmic functions (2)Logarithmic functions (2)
Logarithmic functions (2)
 

More from Jimbo Lamb

Geometry Section 1-5
Geometry Section 1-5Geometry Section 1-5
Geometry Section 1-5
Jimbo Lamb
 
Geometry Section 1-4
Geometry Section 1-4Geometry Section 1-4
Geometry Section 1-4
Jimbo Lamb
 
Geometry Section 1-3
Geometry Section 1-3Geometry Section 1-3
Geometry Section 1-3
Jimbo Lamb
 
Geometry Section 1-2
Geometry Section 1-2Geometry Section 1-2
Geometry Section 1-2
Jimbo Lamb
 
Geometry Section 1-2
Geometry Section 1-2Geometry Section 1-2
Geometry Section 1-2
Jimbo Lamb
 
Geometry Section 1-1
Geometry Section 1-1Geometry Section 1-1
Geometry Section 1-1
Jimbo Lamb
 
Algebra 2 Section 5-3
Algebra 2 Section 5-3Algebra 2 Section 5-3
Algebra 2 Section 5-3
Jimbo Lamb
 
Algebra 2 Section 5-2
Algebra 2 Section 5-2Algebra 2 Section 5-2
Algebra 2 Section 5-2
Jimbo Lamb
 
Algebra 2 Section 5-1
Algebra 2 Section 5-1Algebra 2 Section 5-1
Algebra 2 Section 5-1
Jimbo Lamb
 
Algebra 2 Section 4-9
Algebra 2 Section 4-9Algebra 2 Section 4-9
Algebra 2 Section 4-9
Jimbo Lamb
 
Algebra 2 Section 4-8
Algebra 2 Section 4-8Algebra 2 Section 4-8
Algebra 2 Section 4-8
Jimbo Lamb
 
Algebra 2 Section 4-6
Algebra 2 Section 4-6Algebra 2 Section 4-6
Algebra 2 Section 4-6
Jimbo Lamb
 
Geometry Section 6-6
Geometry Section 6-6Geometry Section 6-6
Geometry Section 6-6
Jimbo Lamb
 
Geometry Section 6-5
Geometry Section 6-5Geometry Section 6-5
Geometry Section 6-5
Jimbo Lamb
 
Geometry Section 6-4
Geometry Section 6-4Geometry Section 6-4
Geometry Section 6-4
Jimbo Lamb
 
Geometry Section 6-3
Geometry Section 6-3Geometry Section 6-3
Geometry Section 6-3
Jimbo Lamb
 
Geometry Section 6-2
Geometry Section 6-2Geometry Section 6-2
Geometry Section 6-2
Jimbo Lamb
 
Geometry Section 6-1
Geometry Section 6-1Geometry Section 6-1
Geometry Section 6-1
Jimbo Lamb
 
Algebra 2 Section 4-5
Algebra 2 Section 4-5Algebra 2 Section 4-5
Algebra 2 Section 4-5
Jimbo Lamb
 
Algebra 2 Section 4-4
Algebra 2 Section 4-4Algebra 2 Section 4-4
Algebra 2 Section 4-4
Jimbo Lamb
 

More from Jimbo Lamb (20)

Geometry Section 1-5
Geometry Section 1-5Geometry Section 1-5
Geometry Section 1-5
 
Geometry Section 1-4
Geometry Section 1-4Geometry Section 1-4
Geometry Section 1-4
 
Geometry Section 1-3
Geometry Section 1-3Geometry Section 1-3
Geometry Section 1-3
 
Geometry Section 1-2
Geometry Section 1-2Geometry Section 1-2
Geometry Section 1-2
 
Geometry Section 1-2
Geometry Section 1-2Geometry Section 1-2
Geometry Section 1-2
 
Geometry Section 1-1
Geometry Section 1-1Geometry Section 1-1
Geometry Section 1-1
 
Algebra 2 Section 5-3
Algebra 2 Section 5-3Algebra 2 Section 5-3
Algebra 2 Section 5-3
 
Algebra 2 Section 5-2
Algebra 2 Section 5-2Algebra 2 Section 5-2
Algebra 2 Section 5-2
 
Algebra 2 Section 5-1
Algebra 2 Section 5-1Algebra 2 Section 5-1
Algebra 2 Section 5-1
 
Algebra 2 Section 4-9
Algebra 2 Section 4-9Algebra 2 Section 4-9
Algebra 2 Section 4-9
 
Algebra 2 Section 4-8
Algebra 2 Section 4-8Algebra 2 Section 4-8
Algebra 2 Section 4-8
 
Algebra 2 Section 4-6
Algebra 2 Section 4-6Algebra 2 Section 4-6
Algebra 2 Section 4-6
 
Geometry Section 6-6
Geometry Section 6-6Geometry Section 6-6
Geometry Section 6-6
 
Geometry Section 6-5
Geometry Section 6-5Geometry Section 6-5
Geometry Section 6-5
 
Geometry Section 6-4
Geometry Section 6-4Geometry Section 6-4
Geometry Section 6-4
 
Geometry Section 6-3
Geometry Section 6-3Geometry Section 6-3
Geometry Section 6-3
 
Geometry Section 6-2
Geometry Section 6-2Geometry Section 6-2
Geometry Section 6-2
 
Geometry Section 6-1
Geometry Section 6-1Geometry Section 6-1
Geometry Section 6-1
 
Algebra 2 Section 4-5
Algebra 2 Section 4-5Algebra 2 Section 4-5
Algebra 2 Section 4-5
 
Algebra 2 Section 4-4
Algebra 2 Section 4-4Algebra 2 Section 4-4
Algebra 2 Section 4-4
 

Recently uploaded

Authentically Social Presented by Corey Perlman
Authentically Social Presented by Corey PerlmanAuthentically Social Presented by Corey Perlman
Authentically Social Presented by Corey Perlman
Corey Perlman, Social Media Speaker and Consultant
 
Digital Transformation and IT Strategy Toolkit and Templates
Digital Transformation and IT Strategy Toolkit and TemplatesDigital Transformation and IT Strategy Toolkit and Templates
Digital Transformation and IT Strategy Toolkit and Templates
Aurelien Domont, MBA
 
VAT Registration Outlined In UAE: Benefits and Requirements
VAT Registration Outlined In UAE: Benefits and RequirementsVAT Registration Outlined In UAE: Benefits and Requirements
VAT Registration Outlined In UAE: Benefits and Requirements
uae taxgpt
 
Project File Report BBA 6th semester.pdf
Project File Report BBA 6th semester.pdfProject File Report BBA 6th semester.pdf
Project File Report BBA 6th semester.pdf
RajPriye
 
Cree_Rey_BrandIdentityKit.PDF_PersonalBd
Cree_Rey_BrandIdentityKit.PDF_PersonalBdCree_Rey_BrandIdentityKit.PDF_PersonalBd
Cree_Rey_BrandIdentityKit.PDF_PersonalBd
creerey
 
falcon-invoice-discounting-a-premier-platform-for-investors-in-india
falcon-invoice-discounting-a-premier-platform-for-investors-in-indiafalcon-invoice-discounting-a-premier-platform-for-investors-in-india
falcon-invoice-discounting-a-premier-platform-for-investors-in-india
Falcon Invoice Discounting
 
The-McKinsey-7S-Framework. strategic management
The-McKinsey-7S-Framework. strategic managementThe-McKinsey-7S-Framework. strategic management
The-McKinsey-7S-Framework. strategic management
Bojamma2
 
Meas_Dylan_DMBS_PB1_2024-05XX_Revised.pdf
Meas_Dylan_DMBS_PB1_2024-05XX_Revised.pdfMeas_Dylan_DMBS_PB1_2024-05XX_Revised.pdf
Meas_Dylan_DMBS_PB1_2024-05XX_Revised.pdf
dylandmeas
 
Maksym Vyshnivetskyi: PMO Quality Management (UA)
Maksym Vyshnivetskyi: PMO Quality Management (UA)Maksym Vyshnivetskyi: PMO Quality Management (UA)
Maksym Vyshnivetskyi: PMO Quality Management (UA)
Lviv Startup Club
 
Creative Web Design Company in Singapore
Creative Web Design Company in SingaporeCreative Web Design Company in Singapore
Creative Web Design Company in Singapore
techboxsqauremedia
 
Evgen Osmak: Methods of key project parameters estimation: from the shaman-in...
Evgen Osmak: Methods of key project parameters estimation: from the shaman-in...Evgen Osmak: Methods of key project parameters estimation: from the shaman-in...
Evgen Osmak: Methods of key project parameters estimation: from the shaman-in...
Lviv Startup Club
 
Premium MEAN Stack Development Solutions for Modern Businesses
Premium MEAN Stack Development Solutions for Modern BusinessesPremium MEAN Stack Development Solutions for Modern Businesses
Premium MEAN Stack Development Solutions for Modern Businesses
SynapseIndia
 
一比一原版加拿大渥太华大学毕业证(uottawa毕业证书)如何办理
一比一原版加拿大渥太华大学毕业证(uottawa毕业证书)如何办理一比一原版加拿大渥太华大学毕业证(uottawa毕业证书)如何办理
一比一原版加拿大渥太华大学毕业证(uottawa毕业证书)如何办理
taqyed
 
Brand Analysis for an artist named Struan
Brand Analysis for an artist named StruanBrand Analysis for an artist named Struan
Brand Analysis for an artist named Struan
sarahvanessa51503
 
Cracking the Workplace Discipline Code Main.pptx
Cracking the Workplace Discipline Code Main.pptxCracking the Workplace Discipline Code Main.pptx
Cracking the Workplace Discipline Code Main.pptx
Workforce Group
 
Company Valuation webinar series - Tuesday, 4 June 2024
Company Valuation webinar series - Tuesday, 4 June 2024Company Valuation webinar series - Tuesday, 4 June 2024
Company Valuation webinar series - Tuesday, 4 June 2024
FelixPerez547899
 
Set off and carry forward of losses and assessment of individuals.pptx
Set off and carry forward of losses and assessment of individuals.pptxSet off and carry forward of losses and assessment of individuals.pptx
Set off and carry forward of losses and assessment of individuals.pptx
HARSHITHV26
 
Buy Verified PayPal Account | Buy Google 5 Star Reviews
Buy Verified PayPal Account | Buy Google 5 Star ReviewsBuy Verified PayPal Account | Buy Google 5 Star Reviews
Buy Verified PayPal Account | Buy Google 5 Star Reviews
usawebmarket
 
Introduction to Amazon company 111111111111
Introduction to Amazon company 111111111111Introduction to Amazon company 111111111111
Introduction to Amazon company 111111111111
zoyaansari11365
 
Improving profitability for small business
Improving profitability for small businessImproving profitability for small business
Improving profitability for small business
Ben Wann
 

Recently uploaded (20)

Authentically Social Presented by Corey Perlman
Authentically Social Presented by Corey PerlmanAuthentically Social Presented by Corey Perlman
Authentically Social Presented by Corey Perlman
 
Digital Transformation and IT Strategy Toolkit and Templates
Digital Transformation and IT Strategy Toolkit and TemplatesDigital Transformation and IT Strategy Toolkit and Templates
Digital Transformation and IT Strategy Toolkit and Templates
 
VAT Registration Outlined In UAE: Benefits and Requirements
VAT Registration Outlined In UAE: Benefits and RequirementsVAT Registration Outlined In UAE: Benefits and Requirements
VAT Registration Outlined In UAE: Benefits and Requirements
 
Project File Report BBA 6th semester.pdf
Project File Report BBA 6th semester.pdfProject File Report BBA 6th semester.pdf
Project File Report BBA 6th semester.pdf
 
Cree_Rey_BrandIdentityKit.PDF_PersonalBd
Cree_Rey_BrandIdentityKit.PDF_PersonalBdCree_Rey_BrandIdentityKit.PDF_PersonalBd
Cree_Rey_BrandIdentityKit.PDF_PersonalBd
 
falcon-invoice-discounting-a-premier-platform-for-investors-in-india
falcon-invoice-discounting-a-premier-platform-for-investors-in-indiafalcon-invoice-discounting-a-premier-platform-for-investors-in-india
falcon-invoice-discounting-a-premier-platform-for-investors-in-india
 
The-McKinsey-7S-Framework. strategic management
The-McKinsey-7S-Framework. strategic managementThe-McKinsey-7S-Framework. strategic management
The-McKinsey-7S-Framework. strategic management
 
Meas_Dylan_DMBS_PB1_2024-05XX_Revised.pdf
Meas_Dylan_DMBS_PB1_2024-05XX_Revised.pdfMeas_Dylan_DMBS_PB1_2024-05XX_Revised.pdf
Meas_Dylan_DMBS_PB1_2024-05XX_Revised.pdf
 
Maksym Vyshnivetskyi: PMO Quality Management (UA)
Maksym Vyshnivetskyi: PMO Quality Management (UA)Maksym Vyshnivetskyi: PMO Quality Management (UA)
Maksym Vyshnivetskyi: PMO Quality Management (UA)
 
Creative Web Design Company in Singapore
Creative Web Design Company in SingaporeCreative Web Design Company in Singapore
Creative Web Design Company in Singapore
 
Evgen Osmak: Methods of key project parameters estimation: from the shaman-in...
Evgen Osmak: Methods of key project parameters estimation: from the shaman-in...Evgen Osmak: Methods of key project parameters estimation: from the shaman-in...
Evgen Osmak: Methods of key project parameters estimation: from the shaman-in...
 
Premium MEAN Stack Development Solutions for Modern Businesses
Premium MEAN Stack Development Solutions for Modern BusinessesPremium MEAN Stack Development Solutions for Modern Businesses
Premium MEAN Stack Development Solutions for Modern Businesses
 
一比一原版加拿大渥太华大学毕业证(uottawa毕业证书)如何办理
一比一原版加拿大渥太华大学毕业证(uottawa毕业证书)如何办理一比一原版加拿大渥太华大学毕业证(uottawa毕业证书)如何办理
一比一原版加拿大渥太华大学毕业证(uottawa毕业证书)如何办理
 
Brand Analysis for an artist named Struan
Brand Analysis for an artist named StruanBrand Analysis for an artist named Struan
Brand Analysis for an artist named Struan
 
Cracking the Workplace Discipline Code Main.pptx
Cracking the Workplace Discipline Code Main.pptxCracking the Workplace Discipline Code Main.pptx
Cracking the Workplace Discipline Code Main.pptx
 
Company Valuation webinar series - Tuesday, 4 June 2024
Company Valuation webinar series - Tuesday, 4 June 2024Company Valuation webinar series - Tuesday, 4 June 2024
Company Valuation webinar series - Tuesday, 4 June 2024
 
Set off and carry forward of losses and assessment of individuals.pptx
Set off and carry forward of losses and assessment of individuals.pptxSet off and carry forward of losses and assessment of individuals.pptx
Set off and carry forward of losses and assessment of individuals.pptx
 
Buy Verified PayPal Account | Buy Google 5 Star Reviews
Buy Verified PayPal Account | Buy Google 5 Star ReviewsBuy Verified PayPal Account | Buy Google 5 Star Reviews
Buy Verified PayPal Account | Buy Google 5 Star Reviews
 
Introduction to Amazon company 111111111111
Introduction to Amazon company 111111111111Introduction to Amazon company 111111111111
Introduction to Amazon company 111111111111
 
Improving profitability for small business
Improving profitability for small businessImproving profitability for small business
Improving profitability for small business
 

Notes 6-6

  • 2. Warm-up GIVE FIVE PAIRS (X, Y) OF NUMBERS FOR WHICH YOU CAN DETERMINE EXACT SOLUTIONS TO THE EQUATION: y 15 = x
  • 3. Warm-up GIVE FIVE PAIRS (X, Y) OF NUMBERS FOR WHICH YOU CAN DETERMINE EXACT SOLUTIONS TO THE EQUATION: y 15 = x HOW ABOUT (1, 0), (15, 1), (225, 2), (3375, 3), ETC.
  • 4. Warm-up GIVE FIVE PAIRS (X, Y) OF NUMBERS FOR WHICH YOU CAN DETERMINE EXACT SOLUTIONS TO THE EQUATION: y 15 = x HOW ABOUT (1, 0), (15, 1), (225, 2), (3375, 3), ETC. ALL OF THESE ANSWERS ALSO FIT THE EQUATION: y = log15 x
  • 6. Exponential Equation AN EQUATION THAT HAS A VARIABLE IN THE EXPONENT
  • 8. Blog Question HOW ARE EXPONENTIAL EQUATIONS AND LOGARITHMIC EQUATIONS RELATED?
  • 9. Example 1 IF 2t = 3, FIND t TO THE NEAREST HUNDREDTH.
  • 10. Example 1 IF 2t = 3, FIND t TO THE NEAREST HUNDREDTH. REWRITING AS A LOGARITHM DOESN’T SEEM TO DO ANYTHING FOR US.
  • 11. Example 1 IF 2t = 3, FIND t TO THE NEAREST HUNDREDTH. REWRITING AS A LOGARITHM DOESN’T SEEM TO DO ANYTHING FOR US. log2 3 = t
  • 12. Example 1 IF 2t = 3, FIND t TO THE NEAREST HUNDREDTH. REWRITING AS A LOGARITHM DOESN’T SEEM TO DO ANYTHING FOR US. log2 3 = t WHAT ABOUT TAKING THE LOGARITHM OF EACH SIDE OF THE EXPONENTIAL?
  • 13. Example 1 IF 2t = 3, FIND t TO THE NEAREST HUNDREDTH. REWRITING AS A LOGARITHM DOESN’T SEEM TO DO ANYTHING FOR US. log2 3 = t WHAT ABOUT TAKING THE LOGARITHM OF EACH SIDE OF THE EXPONENTIAL? t 2 =3
  • 14. Example 1 IF 2t = 3, FIND t TO THE NEAREST HUNDREDTH. REWRITING AS A LOGARITHM DOESN’T SEEM TO DO ANYTHING FOR US. log2 3 = t WHAT ABOUT TAKING THE LOGARITHM OF EACH SIDE OF THE EXPONENTIAL? t 2 =3 t log 2 = log 3
  • 15. Example 1 IF 2t = 3, FIND t TO THE NEAREST HUNDREDTH. REWRITING AS A LOGARITHM DOESN’T SEEM TO DO ANYTHING FOR US. log2 3 = t WHAT ABOUT TAKING THE LOGARITHM OF EACH SIDE OF THE EXPONENTIAL? t 2 =3 t log 2 = log 3 t log 2 = log 3
  • 16. Example 1 IF 2t = 3, FIND t TO THE NEAREST HUNDREDTH. REWRITING AS A LOGARITHM DOESN’T SEEM TO DO ANYTHING FOR US. log2 3 = t WHAT ABOUT TAKING THE LOGARITHM OF EACH SIDE OF THE EXPONENTIAL? t 2 =3 t log 2 = log 3 t log 2 = log 3 log 2 log 2
  • 17. Example 1 IF 2t = 3, FIND t TO THE NEAREST HUNDREDTH. REWRITING AS A LOGARITHM DOESN’T SEEM TO DO ANYTHING FOR US. log2 3 = t WHAT ABOUT TAKING THE LOGARITHM OF EACH SIDE OF THE EXPONENTIAL? t 2 =3 t log 2 = log 3 t log 2 = log 3 log 2 log 2 log3 t = log2
  • 18. Example 1 IF 2t = 3, FIND t TO THE NEAREST HUNDREDTH. REWRITING AS A LOGARITHM DOESN’T SEEM TO DO ANYTHING FOR US. log2 3 = t WHAT ABOUT TAKING THE LOGARITHM OF EACH SIDE OF THE EXPONENTIAL? t 2 =3 t log 2 = log 3 t log 2 = log 3 log 2 log 2 t = log2 ≈ 1.58 log3
  • 20. Change of Base Theorem FOR ALL VALUES OF a, b, AND c WHERE THE LOGS EXIST: logc a ln a logb a = = logc b ln b
  • 21. Change of Base Theorem FOR ALL VALUES OF a, b, AND c WHERE THE LOGS EXIST: logc a ln a logb a = = logc b ln b THIS MEANS WE CAN SOLVE ANY LOGARITHM USING COMMON LOGS OR NATURAL LOGS
  • 22. Example 2 EVALUATE:
  • 23. Example 2 EVALUATE: log17 34
  • 24. Example 2 EVALUATE: log17 34 log 34 = log17
  • 25. Example 2 EVALUATE: log17 34 log 34 = log17 ≈ 1.24
  • 26. Example 2 EVALUATE: log17 34 log17 34 log 34 = log17 ≈ 1.24
  • 27. Example 2 EVALUATE: log17 34 log17 34 log 34 ln 34 = = log17 ln17 ≈ 1.24
  • 28. Example 2 EVALUATE: log17 34 log17 34 log 34 ln 34 = = log17 ln17 ≈ 1.24 ≈ 1.24
  • 29. Example 3 THE POPULATION OF THE US REACHED 250 MILLION IN 1990 AND WAS GROWING AT ABOUT 1% PER YEAR. USE THE FORMULA A(t) = Pert TO FIND WHEN, AT THIS GROWTH RATE, THE POPULATION WOULD REACH 300 MILLION. HOW DOES THIS PROJECTION HOLD UP?
  • 30. Example 3 THE POPULATION OF THE US REACHED 250 MILLION IN 1990 AND WAS GROWING AT ABOUT 1% PER YEAR. USE THE FORMULA A(t) = Pert TO FIND WHEN, AT THIS GROWTH RATE, THE POPULATION WOULD REACH 300 MILLION. HOW DOES THIS PROJECTION HOLD UP? rt A (t ) = Pe
  • 31. Example 3 THE POPULATION OF THE US REACHED 250 MILLION IN 1990 AND WAS GROWING AT ABOUT 1% PER YEAR. USE THE FORMULA A(t) = Pert TO FIND WHEN, AT THIS GROWTH RATE, THE POPULATION WOULD REACH 300 MILLION. HOW DOES THIS PROJECTION HOLD UP? rt A (t ) = Pe .01t 300,000,000 = 250,000,000e
  • 32. Example 3 THE POPULATION OF THE US REACHED 250 MILLION IN 1990 AND WAS GROWING AT ABOUT 1% PER YEAR. USE THE FORMULA A(t) = Pert TO FIND WHEN, AT THIS GROWTH RATE, THE POPULATION WOULD REACH 300 MILLION. HOW DOES THIS PROJECTION HOLD UP? rt A (t ) = Pe .01t 300,000,000 = 250,000,000e 250,000,000 250,000,000
  • 33. Example 3 THE POPULATION OF THE US REACHED 250 MILLION IN 1990 AND WAS GROWING AT ABOUT 1% PER YEAR. USE THE FORMULA A(t) = Pert TO FIND WHEN, AT THIS GROWTH RATE, THE POPULATION WOULD REACH 300 MILLION. HOW DOES THIS PROJECTION HOLD UP? rt A (t ) = Pe .01t 300,000,000 = 250,000,000e 250,000,000 250,000,000 .01t 1.2 = e
  • 34. Example 3 THE POPULATION OF THE US REACHED 250 MILLION IN 1990 AND WAS GROWING AT ABOUT 1% PER YEAR. USE THE FORMULA A(t) = Pert TO FIND WHEN, AT THIS GROWTH RATE, THE POPULATION WOULD REACH 300 MILLION. HOW DOES THIS PROJECTION HOLD UP? rt A (t ) = Pe .01t 300,000,000 = 250,000,000e 250,000,000 250,000,000 .01t 1.2 = e .01t ln1.2 = ln e
  • 35. Example 3 THE POPULATION OF THE US REACHED 250 MILLION IN 1990 AND WAS GROWING AT ABOUT 1% PER YEAR. USE THE FORMULA A(t) = Pert TO FIND WHEN, AT THIS GROWTH RATE, THE POPULATION WOULD REACH 300 MILLION. HOW DOES THIS PROJECTION HOLD UP? rt A (t ) = Pe .01t 300,000,000 = 250,000,000e 250,000,000 250,000,000 .01t 1.2 = e .01t ln1.2 = ln e ln1.2 = .01t
  • 36. Example 3 THE POPULATION OF THE US REACHED 250 MILLION IN 1990 AND WAS GROWING AT ABOUT 1% PER YEAR. USE THE FORMULA A(t) = Pert TO FIND WHEN, AT THIS GROWTH RATE, THE POPULATION WOULD REACH 300 MILLION. HOW DOES THIS PROJECTION HOLD UP? rt A (t ) = Pe .01t 300,000,000 = 250,000,000e 250,000,000 250,000,000 .01t 1.2 = e .01t ln1.2 = ln e ln1.2 = .01t t= ln1.2 .01
  • 37. Example 3 THE POPULATION OF THE US REACHED 250 MILLION IN 1990 AND WAS GROWING AT ABOUT 1% PER YEAR. USE THE FORMULA A(t) = Pert TO FIND WHEN, AT THIS GROWTH RATE, THE POPULATION WOULD REACH 300 MILLION. HOW DOES THIS PROJECTION HOLD UP? rt A (t ) = Pe .01t 300,000,000 = 250,000,000e 250,000,000 250,000,000 .01t 1.2 = e .01t ln1.2 = ln e ln1.2 = .01t t= ln1.2 .01 t ≈ 18
  • 38. Example 3 THE POPULATION OF THE US REACHED 250 MILLION IN 1990 AND WAS GROWING AT ABOUT 1% PER YEAR. USE THE FORMULA A(t) = Pert TO FIND WHEN, AT THIS GROWTH RATE, THE POPULATION WOULD REACH 300 MILLION. HOW DOES THIS PROJECTION HOLD UP? rt A (t ) = Pe .01t 300,000,000 = 250,000,000e 250,000,000 250,000,000 .01t 1.2 = e .01t ln1.2 = ln e ln1.2 = .01t t= ln1.2 .01 t ≈ 18 YEARS
  • 39. Example 4 IN SECTION 6-2, THE FORMULA T(p) = 10p0.585 IS GIVEN FOR THE APPROXIMATE TIME T(p) IT TAKES TO MICROWAVE p PORTIONS OF FOOD, ASSUMING THAT DOUBLING THE NUMBER OF PORTIONS REQUIRES COOKING TIME TO BE MULTIPLIED BY 1.5. THE FORMULA WAS SAID TO HAVE BEEN DEDUCED FROM THE FACT THAT 1 PORTION REQUIRED 10 MINUTES TO COOK AND 2 PORTIONS REQUIRED 15 MINUTES. SHOW HOW THIS FORMULA WAS CALCULATED FROM THE ASSUMPTION THAT THERE WAS A MODEL OF THE FORM T(p) = 10px. x x T (1) = 10i1 = 10 T (2) = 10i2 = 15
  • 40. Example 4 IN SECTION 6-2, THE FORMULA T(p) = 10p0.585 IS GIVEN FOR THE APPROXIMATE TIME T(p) IT TAKES TO MICROWAVE p PORTIONS OF FOOD, ASSUMING THAT DOUBLING THE NUMBER OF PORTIONS REQUIRES COOKING TIME TO BE MULTIPLIED BY 1.5. THE FORMULA WAS SAID TO HAVE BEEN DEDUCED FROM THE FACT THAT 1 PORTION REQUIRED 10 MINUTES TO COOK AND 2 PORTIONS REQUIRED 15 MINUTES. SHOW HOW THIS FORMULA WAS CALCULATED FROM THE ASSUMPTION THAT THERE WAS A MODEL OF THE FORM T(p) = 10px. x x T (1) = 10i1 = 10 T (2) = 10i2 = 15 x 1 =1
  • 41. Example 4 IN SECTION 6-2, THE FORMULA T(p) = 10p0.585 IS GIVEN FOR THE APPROXIMATE TIME T(p) IT TAKES TO MICROWAVE p PORTIONS OF FOOD, ASSUMING THAT DOUBLING THE NUMBER OF PORTIONS REQUIRES COOKING TIME TO BE MULTIPLIED BY 1.5. THE FORMULA WAS SAID TO HAVE BEEN DEDUCED FROM THE FACT THAT 1 PORTION REQUIRED 10 MINUTES TO COOK AND 2 PORTIONS REQUIRED 15 MINUTES. SHOW HOW THIS FORMULA WAS CALCULATED FROM THE ASSUMPTION THAT THERE WAS A MODEL OF THE FORM T(p) = 10px. x x T (1) = 10i1 = 10 T (2) = 10i2 = 15 x 1 =1 log1= 0
  • 42. Example 4 IN SECTION 6-2, THE FORMULA T(p) = 10p0.585 IS GIVEN FOR THE APPROXIMATE TIME T(p) IT TAKES TO MICROWAVE p PORTIONS OF FOOD, ASSUMING THAT DOUBLING THE NUMBER OF PORTIONS REQUIRES COOKING TIME TO BE MULTIPLIED BY 1.5. THE FORMULA WAS SAID TO HAVE BEEN DEDUCED FROM THE FACT THAT 1 PORTION REQUIRED 10 MINUTES TO COOK AND 2 PORTIONS REQUIRED 15 MINUTES. SHOW HOW THIS FORMULA WAS CALCULATED FROM THE ASSUMPTION THAT THERE WAS A MODEL OF THE FORM T(p) = 10px. x x T (1) = 10i1 = 10 T (2) = 10i2 = 15 x 1 =1 log1= 0 THIS WON’T HELP
  • 43. Example 4 IN SECTION 6-2, THE FORMULA T(p) = 10p0.585 IS GIVEN FOR THE APPROXIMATE TIME T(p) IT TAKES TO MICROWAVE p PORTIONS OF FOOD, ASSUMING THAT DOUBLING THE NUMBER OF PORTIONS REQUIRES COOKING TIME TO BE MULTIPLIED BY 1.5. THE FORMULA WAS SAID TO HAVE BEEN DEDUCED FROM THE FACT THAT 1 PORTION REQUIRED 10 MINUTES TO COOK AND 2 PORTIONS REQUIRED 15 MINUTES. SHOW HOW THIS FORMULA WAS CALCULATED FROM THE ASSUMPTION THAT THERE WAS A MODEL OF THE FORM T(p) = 10px. x x T (1) = 10i1 = 10 T (2) = 10i2 = 15 x x 1 =1 2 = 1.5 log1= 0 THIS WON’T HELP
  • 44. Example 4 IN SECTION 6-2, THE FORMULA T(p) = 10p0.585 IS GIVEN FOR THE APPROXIMATE TIME T(p) IT TAKES TO MICROWAVE p PORTIONS OF FOOD, ASSUMING THAT DOUBLING THE NUMBER OF PORTIONS REQUIRES COOKING TIME TO BE MULTIPLIED BY 1.5. THE FORMULA WAS SAID TO HAVE BEEN DEDUCED FROM THE FACT THAT 1 PORTION REQUIRED 10 MINUTES TO COOK AND 2 PORTIONS REQUIRED 15 MINUTES. SHOW HOW THIS FORMULA WAS CALCULATED FROM THE ASSUMPTION THAT THERE WAS A MODEL OF THE FORM T(p) = 10px. x x T (1) = 10i1 = 10 T (2) = 10i2 = 15 x x 1 =1 2 = 1.5 log1= 0 log2 1.5 = x THIS WON’T HELP
  • 45. Example 4 IN SECTION 6-2, THE FORMULA T(p) = 10p0.585 IS GIVEN FOR THE APPROXIMATE TIME T(p) IT TAKES TO MICROWAVE p PORTIONS OF FOOD, ASSUMING THAT DOUBLING THE NUMBER OF PORTIONS REQUIRES COOKING TIME TO BE MULTIPLIED BY 1.5. THE FORMULA WAS SAID TO HAVE BEEN DEDUCED FROM THE FACT THAT 1 PORTION REQUIRED 10 MINUTES TO COOK AND 2 PORTIONS REQUIRED 15 MINUTES. SHOW HOW THIS FORMULA WAS CALCULATED FROM THE ASSUMPTION THAT THERE WAS A MODEL OF THE FORM T(p) = 10px. x x T (1) = 10i1 = 10 T (2) = 10i2 = 15 x x 1 =1 2 = 1.5 log1= 0 log2 1.5 = x log1.5 THIS WON’T HELP = log 2
  • 46. Example 4 IN SECTION 6-2, THE FORMULA T(p) = 10p0.585 IS GIVEN FOR THE APPROXIMATE TIME T(p) IT TAKES TO MICROWAVE p PORTIONS OF FOOD, ASSUMING THAT DOUBLING THE NUMBER OF PORTIONS REQUIRES COOKING TIME TO BE MULTIPLIED BY 1.5. THE FORMULA WAS SAID TO HAVE BEEN DEDUCED FROM THE FACT THAT 1 PORTION REQUIRED 10 MINUTES TO COOK AND 2 PORTIONS REQUIRED 15 MINUTES. SHOW HOW THIS FORMULA WAS CALCULATED FROM THE ASSUMPTION THAT THERE WAS A MODEL OF THE FORM T(p) = 10px. x x T (1) = 10i1 = 10 T (2) = 10i2 = 15 x x 1 =1 2 = 1.5 log1= 0 log2 1.5 = x log1.5 THIS WON’T HELP = log 2 ≈ .585
  • 48. Homework P. 406 #1-20