SlideShare a Scribd company logo
1 of 70
Download to read offline
Section	3.1
Exponential	Functions

  V63.0121.027, Calculus	I



     October	20, 2009




                        .    .   .   .   .   .
Outline



  Deļ¬nition	of	exponential	functions


  Properties	of	exponential	Functions


  The	number e and	the	natural	exponential	function
     Compound	Interest
     The	number e
     A limit




                                            .   .     .   .   .   .
Deļ¬nition
If a is	a	real	number	and n is	a	positive	whole	number, then

                        an = a Ā· a Ā· Ā· Ā· Ā· Ā· a
                                  n factors




                                                 .   .   .   .   .   .
Deļ¬nition
If a is	a	real	number	and n is	a	positive	whole	number, then

                         an = a Ā· a Ā· Ā· Ā· Ā· Ā· a
                                   n factors



Examples
    23 = 2 Ā· 2 Ā· 2 = 8
    34 = 3 Ā· 3 Ā· 3 Ā· 3 = 81
    (āˆ’1)5 = (āˆ’1)(āˆ’1)(āˆ’1)(āˆ’1)(āˆ’1) = āˆ’1




                                                  .   .   .   .   .   .
Fact
If a is	a	real	number, then
       ax+y = ax ay
                ax
       axāˆ’y = y
                a
       (ax )y = axy
       (ab)x = ax bx
whenever	all	exponents	are	positive	whole	numbers.




                                          .   .      .   .   .   .
Fact
If a is	a	real	number, then
       ax+y = ax ay
                ax
       axāˆ’y = y
                a
       (ax )y = axy
       (ab)x = ax bx
whenever	all	exponents	are	positive	whole	numbers.

Proof.
Check	for	yourself:

        a x +y = a Ā· a Ā· Ā· Ā· Ā· Ā· a = a Ā· a Ā· Ā· Ā· Ā· Ā· a Ā· a Ā· a Ā· Ā· Ā· Ā· Ā· a = a x a y
                    x + y factors          x factors         y factors




                                                              .     .      .     .     .   .
Letā€™s	be	conventional



      The	desire	that	these	properties	remain	true	gives	us
      conventions	for ax when x is	not	a	positive	whole	number.




                                            .    .   .    .   .   .
Letā€™s	be	conventional



      The	desire	that	these	properties	remain	true	gives	us
      conventions	for ax when x is	not	a	positive	whole	number.
      For	example:
                           a n = a n +0 = a n a 0
                                         !




                                                    .   .   .   .   .   .
Letā€™s	be	conventional



       The	desire	that	these	properties	remain	true	gives	us
       conventions	for ax when x is	not	a	positive	whole	number.
       For	example:
                             a n = a n +0 = a n a 0
                                           !



   Deļ¬nition
   If a Ģø= 0, we	deļ¬ne a0 = 1.




                                                      .   .   .   .   .   .
Letā€™s	be	conventional



       The	desire	that	these	properties	remain	true	gives	us
       conventions	for ax when x is	not	a	positive	whole	number.
       For	example:
                             a n = a n +0 = a n a 0
                                           !



   Deļ¬nition
   If a Ģø= 0, we	deļ¬ne a0 = 1.

       Notice 00 remains	undeļ¬ned	(as	a	limit	form, itā€™s
       indeterminate).




                                                      .   .   .   .   .   .
Conventions	for	negative	exponents

   If n ā‰„ 0, we	want

                       an Ā· aāˆ’n = an+(āˆ’n) = a0 = 1
                               !




                                               .     .   .   .   .   .
Conventions	for	negative	exponents

   If n ā‰„ 0, we	want

                       an Ā· aāˆ’n = an+(āˆ’n) = a0 = 1
                               !




   Deļ¬nition
                                                1
   If n is	a	positive	integer, we	deļ¬ne aāˆ’n =      .
                                                an




                                                   .   .   .   .   .   .
Conventions	for	negative	exponents

   If n ā‰„ 0, we	want

                        an Ā· aāˆ’n = an+(āˆ’n) = a0 = 1
                                 !




   Deļ¬nition
                                                1
   If n is	a	positive	integer, we	deļ¬ne aāˆ’n =      .
                                                an
   Fact
                                       1
          The	convention	that aāˆ’n =      ā€œworksā€	for	negative n as	well.
                                      an
                                                   am
          If m and n are	any	integers, then amāˆ’n = n .
                                                    a


                                                   .   .   .    .   .      .
Conventions	for	fractional	exponents


   If q is	a	positive	integer, we	want

                             (a1/q )q = a1 = a
                                     !




                                                 .   .   .   .   .   .
Conventions	for	fractional	exponents


   If q is	a	positive	integer, we	want

                             (a1/q )q = a1 = a
                                     !




   Deļ¬nition                                     āˆš
   If q is	a	positive	integer, we	deļ¬ne a1/q =   q
                                                     a. We	must	have
   a ā‰„ 0 if q is	even.




                                                     .   .   .   .     .   .
Conventions	for	fractional	exponents


   If q is	a	positive	integer, we	want

                             (a1/q )q = a1 = a
                                     !




   Deļ¬nition                                     āˆš
   If q is	a	positive	integer, we	deļ¬ne a1/q =   q
                                                     a. We	must	have
   a ā‰„ 0 if q is	even.

   Fact
          Now	we	can	say ap/q = (a1/q )p without	ambiguity




                                                     .   .   .   .     .   .
Conventions	for	irrational	powers



      So ax is	well-deļ¬ned	if x is	rational.
      What	about	irrational	powers?




                                               .   .   .   .   .   .
Conventions	for	irrational	powers



       So ax is	well-deļ¬ned	if x is	rational.
       What	about	irrational	powers?

   Deļ¬nition
   Let a > 0. Then
                             ax =     lim ar
                                       rā†’x
                                    r rational




                                                 .   .   .   .   .   .
Conventions	for	irrational	powers



       So ax is	well-deļ¬ned	if x is	rational.
       What	about	irrational	powers?

   Deļ¬nition
   Let a > 0. Then
                              ax =     lim ar
                                        rā†’x
                                     r rational


   In	other	words, to	approximate ax for	irrational x, take r close	to x
   but	rational	and	compute ar .




                                                  .   .    .   .    .      .
Graphs	of	various	exponential	functions
                          y
                          .




                           .                              x
                                                          .

                                   .      .   .   .   .       .
Graphs	of	various	exponential	functions
                          y
                          .




                                                          . = 1x
                                                          y

                           .                              x
                                                          .

                                   .      .   .   .   .       .
Graphs	of	various	exponential	functions
                          y
                          .
                                              . = 2x
                                              y




                                                               . = 1x
                                                               y

                           .                                   x
                                                               .

                                   .      .     .      .   .       .
Graphs	of	various	exponential	functions
                          y
                          .
                                    . = 3x. = 2x
                                    y     y




                                                           . = 1x
                                                           y

                           .                               x
                                                           .

                                   .      .   .    .   .       .
Graphs	of	various	exponential	functions
                          y
                          .
                               . = 10x= 3x. = 2x
                               y    y
                                    .     y




                                                           . = 1x
                                                           y

                           .                               x
                                                           .

                                    .     .   .    .   .       .
Graphs	of	various	exponential	functions
                          y
                          .
                               . = 10x= 3x. = 2x
                               y    y
                                    .     y                . = 1.5x
                                                           y




                                                            . = 1x
                                                            y

                           .                                x
                                                            .

                                    .     .   .    .   .        .
Graphs	of	various	exponential	functions
                          y
                          .
       . = (1/2)x
       y                       . = 10x= 3x. = 2x
                               y    y
                                    .     y                . = 1.5x
                                                           y




                                                            . = 1x
                                                            y

                           .                                x
                                                            .

                                    .     .   .    .   .        .
Graphs	of	various	exponential	functions
                          y
                          .
       y     y
             . =      x
       . = (1/2)x (1/3)        . = 10x= 3x. = 2x
                               y    y
                                    .     y                . = 1.5x
                                                           y




                                                            . = 1x
                                                            y

                           .                                x
                                                            .

                                    .     .   .    .   .        .
Graphs	of	various	exponential	functions
                             y
                             .
       y     y
             . =      x
       . = (1/2)x (1/3)   . = (1/10)x. = 10x= 3x. = 2x
                          y          y    y
                                          .     y                . = 1.5x
                                                                 y




                                                                  . = 1x
                                                                  y

                              .                                   x
                                                                  .

                                         .   .    .      .   .        .
Graphs	of	various	exponential	functions
                                y
                                .
      yy = 213)x
      . . = ((//2)x (1/3)x
               y
               . =           . = (1/10)x. = 10x= 3x. = 2x
                             y          y    y
                                             .     y                . = 1.5x
                                                                    y




                                                                     . = 1x
                                                                     y

                                 .                                   x
                                                                     .

                                            .   .    .      .   .        .
Outline



  Deļ¬nition	of	exponential	functions


  Properties	of	exponential	Functions


  The	number e and	the	natural	exponential	function
     Compound	Interest
     The	number e
     A limit




                                            .   .     .   .   .   .
Properties	of	exponential	Functions
   Theorem
   If a > 0 and a Ģø= 1, then f(x) = ax is	a	continuous	function	with
   domain R and	range (0, āˆž). In	particular, ax > 0 for	all x. If
   a, b > 0 and x, y āˆˆ R, then
       ax+y = ax ay
                ax
       axāˆ’y = y
                a
       (ax )y = axy
       (ab)x = ax bx

   Proof.
       This	is	true	for	positive	integer	exponents	by	natural
       deļ¬nition
       Our	conventional	deļ¬nitions	make	these	true	for	rational
       exponents
       Our	limit	deļ¬nition	make	these	for	irrational	exponents, too
                                                .    .    .     .   .   .
Properties	of	exponential	Functions
   Theorem
   If a > 0 and a Ģø= 1, then f(x) = ax is	a	continuous	function	with
   domain R and	range (0, āˆž). In	particular, ax > 0 for	all x. If
   a, b > 0 and x, y āˆˆ R, then
       ax+y = ax ay
                ax
       axāˆ’y = y negative	exponents	mean	reciprocals.
                a
       (ax )y = axy
       (ab)x = ax bx

   Proof.
       This	is	true	for	positive	integer	exponents	by	natural
       deļ¬nition
       Our	conventional	deļ¬nitions	make	these	true	for	rational
       exponents
       Our	limit	deļ¬nition	make	these	for	irrational	exponents, too
                                                .    .    .     .   .   .
Properties	of	exponential	Functions
   Theorem
   If a > 0 and a Ģø= 1, then f(x) = ax is	a	continuous	function	with
   domain R and	range (0, āˆž). In	particular, ax > 0 for	all x. If
   a, b > 0 and x, y āˆˆ R, then
       ax+y = ax ay
                ax
       axāˆ’y = y negative	exponents	mean	reciprocals.
                a
       (ax )y = axy fractional	exponents	mean	roots
       (ab)x = ax bx

   Proof.
       This	is	true	for	positive	integer	exponents	by	natural
       deļ¬nition
       Our	conventional	deļ¬nitions	make	these	true	for	rational
       exponents
       Our	limit	deļ¬nition	make	these	for	irrational	exponents, too
                                                .    .    .     .   .   .
Example
Simplify: 82/3




                 .   .   .   .   .   .
Example
Simplify: 82/3

Solution
               āˆš
               3          āˆš
    8 2 /3 =       82 =
                          3
                              64 = 4




                                       .   .   .   .   .   .
Example
Simplify: 82/3

Solution
            āˆš3   āˆš
    82/3 = 82 = 64 = 4
                 3

        (āˆš )2
            8 = 22 = 4.
          3
    Or,




                          .   .   .   .   .   .
Example
Simplify: 82/3

Solution
            āˆš3   āˆš
    82/3 = 82 = 64 = 4
                 3

        (āˆš )2
            8 = 22 = 4.
          3
    Or,


Example āˆš
                 8
Simplify:       1/2
            2




                          .   .   .   .   .   .
Example
Simplify: 82/3

Solution
            āˆš3   āˆš
    82/3 = 82 = 64 = 4
                 3

        (āˆš )2
            8 = 22 = 4.
          3
    Or,


Example āˆš
                 8
Simplify:       1/2
            2
Answer
2



                          .   .   .   .   .   .
Fact	(Limits	of	exponential
functions)                                              y
                                                        .
                              . = (= 2()1/3)x3)x
                              y . 1/=x(2/
                                   y
                                 y .                   . = (. /10)10x = 2x. =
                                                       y    y = x . 3x y
                                                                y y
                                                            1 . =

    If a > 1, then
     lim ax = āˆž and
    xā†’āˆž
     lim ax = 0
    xā†’āˆ’āˆž
    If 0 < a < 1, then
     lim ax = 0 and                                                         y
                                                                            . =
    xā†’āˆž
     lim ax = āˆž                                         .                   x
                                                                            .
    xā†’āˆ’āˆž




                                           .       .        .   .   .   .
Outline



  Deļ¬nition	of	exponential	functions


  Properties	of	exponential	Functions


  The	number e and	the	natural	exponential	function
     Compound	Interest
     The	number e
     A limit




                                            .   .     .   .   .   .
Compounded	Interest


  Question
  Suppose	you	save	$100	at	10%	annual	interest, with	interest
  compounded	once	a	year. How	much	do	you	have
      After	one	year?
      After	two	years?
      after t years?




                                             .   .   .    .     .   .
Compounded	Interest


  Question
  Suppose	you	save	$100	at	10%	annual	interest, with	interest
  compounded	once	a	year. How	much	do	you	have
      After	one	year?
      After	two	years?
      after t years?

  Answer
      $100 + 10% = $110




                                             .   .   .    .     .   .
Compounded	Interest


  Question
  Suppose	you	save	$100	at	10%	annual	interest, with	interest
  compounded	once	a	year. How	much	do	you	have
      After	one	year?
      After	two	years?
      after t years?

  Answer
      $100 + 10% = $110
      $110 + 10% = $110 + $11 = $121




                                             .   .   .    .     .   .
Compounded	Interest


  Question
  Suppose	you	save	$100	at	10%	annual	interest, with	interest
  compounded	once	a	year. How	much	do	you	have
      After	one	year?
      After	two	years?
      after t years?

  Answer
      $100 + 10% = $110
      $110 + 10% = $110 + $11 = $121
      $100(1.1)t .



                                             .   .   .    .     .   .
Compounded	Interest: quarterly


   Question
   Suppose	you	save	$100	at	10%	annual	interest, with	interest
   compounded four	times a	year. How	much	do	you	have
       After	one	year?
       After	two	years?
       after t years?




                                              .   .   .    .     .   .
Compounded	Interest: quarterly


   Question
   Suppose	you	save	$100	at	10%	annual	interest, with	interest
   compounded four	times a	year. How	much	do	you	have
       After	one	year?
       After	two	years?
       after t years?

   Answer
       $100(1.025)4 = $110.38,




                                              .   .   .    .     .   .
Compounded	Interest: quarterly


   Question
   Suppose	you	save	$100	at	10%	annual	interest, with	interest
   compounded four	times a	year. How	much	do	you	have
       After	one	year?
       After	two	years?
       after t years?

   Answer
       $100(1.025)4 = $110.38, not $100(1.1)4 !




                                              .   .   .    .     .   .
Compounded	Interest: quarterly


   Question
   Suppose	you	save	$100	at	10%	annual	interest, with	interest
   compounded four	times a	year. How	much	do	you	have
       After	one	year?
       After	two	years?
       after t years?

   Answer
       $100(1.025)4 = $110.38, not $100(1.1)4 !
       $100(1.025)8 = $121.84




                                              .   .   .    .     .   .
Compounded	Interest: quarterly


   Question
   Suppose	you	save	$100	at	10%	annual	interest, with	interest
   compounded four	times a	year. How	much	do	you	have
       After	one	year?
       After	two	years?
       after t years?

   Answer
       $100(1.025)4 = $110.38, not $100(1.1)4 !
       $100(1.025)8 = $121.84
       $100(1.025)4t .



                                              .   .   .    .     .   .
Compounded	Interest: monthly




  Question
  Suppose	you	save	$100	at	10%	annual	interest, with	interest
  compounded twelve	times a	year. How	much	do	you	have	after t
  years?




                                          .   .   .    .   .     .
Compounded	Interest: monthly




  Question
  Suppose	you	save	$100	at	10%	annual	interest, with	interest
  compounded twelve	times a	year. How	much	do	you	have	after t
  years?

  Answer
  $100(1 + 10%/12)12t




                                          .   .   .    .   .     .
Compounded	Interest: general




  Question
  Suppose	you	save P at	interest	rate r, with	interest	compounded n
  times a	year. How	much	do	you	have	after t years?




                                             .    .   .    .   .      .
Compounded	Interest: general




  Question
  Suppose	you	save P at	interest	rate r, with	interest	compounded n
  times a	year. How	much	do	you	have	after t years?

  Answer
                                 (    r )nt
                         B(t) = P 1 +
                                      n




                                              .   .   .    .   .      .
Compounded	Interest: continuous


  Question
  Suppose	you	save P at	interest	rate r, with	interest	compounded
  every	instant. How	much	do	you	have	after t years?




                                             .    .   .    .   .    .
Compounded	Interest: continuous


  Question
  Suppose	you	save P at	interest	rate r, with	interest	compounded
  every	instant. How	much	do	you	have	after t years?

  Answer

                          (                (      )
                              r )nt             1 rnt
             B(t) = lim P 1 +       = lim P 1 +
                    nā†’āˆž       n       nā†’āˆž       n
                      [     (      )n ]rt
                                 1
                  = P lim 1 +
                        nā†’āˆž      n
                     independent	of P, r, or t




                                                 .   .   .   .   .   .
The	magic	number



  Deļ¬nition
                             (          )n
                                    1
                   e = lim       1+
                      nā†’āˆž           n




                                             .   .   .   .   .   .
The	magic	number



  Deļ¬nition
                                 (          )n
                                        1
                       e = lim       1+
                           nā†’āˆž          n

  So	now	continuously-compounded	interest	can	be	expressed	as

                           B(t) = Pert .




                                                 .   .   .   .   .   .
Existence	of e
See	Appendix	B




                         (           )n
                                1
                 n           1+
                                n
                 1       2
                 2       2.25




                 .   .       .   .        .   .
Existence	of e
See	Appendix	B




                         (           )n
                                1
                 n           1+
                                n
                 1       2
                 2       2.25
                 3       2.37037




                 .   .       .   .        .   .
Existence	of e
See	Appendix	B




                          (           )n
                                 1
                 n            1+
                                 n
                 1        2
                 2        2.25
                 3        2.37037
                 10       2.59374




                 .    .       .   .        .   .
Existence	of e
See	Appendix	B




                           (           )n
                                  1
                 n             1+
                                  n
                 1         2
                 2         2.25
                 3         2.37037
                 10        2.59374
                 100       2.70481




                 .     .       .   .        .   .
Existence	of e
See	Appendix	B




                            (           )n
                                   1
                 n              1+
                                   n
                 1          2
                 2          2.25
                 3          2.37037
                 10         2.59374
                 100        2.70481
                 1000       2.71692




                 .      .       .   .        .   .
Existence	of e
See	Appendix	B




                            (           )n
                                   1
                 n              1+
                                   n
                 1          2
                 2          2.25
                 3          2.37037
                 10         2.59374
                 100        2.70481
                 1000       2.71692
                 106        2.71828




                 .      .       .   .        .   .
Existence	of e
See	Appendix	B




                                                 (           )n
                                                        1
        We	can	experimentally         n              1+
                                                        n
        verify	that	this	number
                                      1          2
        exists	and	is
                                      2          2.25
        e ā‰ˆ 2.718281828459045 . . .   3          2.37037
                                      10         2.59374
                                      100        2.70481
                                      1000       2.71692
                                      106        2.71828




                                      .      .       .   .        .   .
Existence	of e
See	Appendix	B




                                                 (           )n
                                                        1
        We	can	experimentally         n              1+
                                                        n
        verify	that	this	number
                                      1          2
        exists	and	is
                                      2          2.25
        e ā‰ˆ 2.718281828459045 . . .   3          2.37037
                                      10         2.59374
        e is	irrational               100        2.70481
                                      1000       2.71692
                                      106        2.71828




                                      .      .       .   .        .   .
Existence	of e
See	Appendix	B




                                                 (           )n
                                                        1
        We	can	experimentally         n              1+
                                                        n
        verify	that	this	number
                                      1          2
        exists	and	is
                                      2          2.25
        e ā‰ˆ 2.718281828459045 . . .   3          2.37037
                                      10         2.59374
        e is	irrational               100        2.70481
        e is transcendental           1000       2.71692
                                      106        2.71828




                                      .      .       .   .        .   .
Meet	the	Mathematician: Leonhard	Euler


     Born	in	Switzerland,
     lived	in	Prussia
     (Germany)	and	Russia
     Eyesight	trouble	all	his
     life, blind	from	1766
     onward
     Hundreds	of
     contributions	to
     calculus, number	theory,
     graph	theory, ļ¬‚uid
     mechanics, optics, and
     astronomy
                                Leonhard	Paul	Euler
                                 Swiss, 1707ā€“1783

                                 .    .   .   .       .   .
A limit

   Question
              eh āˆ’ 1
   What	is lim       ?
          hā†’0    h




                         .   .   .   .   .   .
A limit

   Question
                 eh āˆ’ 1
   What	is lim          ?
             hā†’0    h
   Answer
          If h is	small	enough, e ā‰ˆ (1 + h)1/h . So

                                    eh āˆ’ 1
                                           ā‰ˆ1
                                       h




                                                      .   .   .   .   .   .
A limit

   Question
                 eh āˆ’ 1
   What	is lim          ?
             hā†’0    h
   Answer
          If h is	small	enough, e ā‰ˆ (1 + h)1/h . So

                                    eh āˆ’ 1
                                           ā‰ˆ1
                                       h

                      eh āˆ’ 1
          In	fact, lim       = 1.
                 hā†’0     h
          This	can	be	used	to	characterize e:
              2h āˆ’ 1                           3h āˆ’ 1
          lim        = 0.693 Ā· Ā· Ā· < 1 and lim        = 1.099 Ā· Ā· Ā· < 1
          hā†’0    h                         hā†’0    h

                                                      .   .   .   .   .   .

More Related Content

What's hot

11X1 T13 02 sketching polynomials
11X1 T13 02 sketching polynomials11X1 T13 02 sketching polynomials
11X1 T13 02 sketching polynomials
Nigel Simmons
Ā 
12 x1 t07 01 projectile motion (2012)
12 x1 t07 01 projectile motion (2012)12 x1 t07 01 projectile motion (2012)
12 x1 t07 01 projectile motion (2012)
Nigel Simmons
Ā 

What's hot (11)

Models
ModelsModels
Models
Ā 
Csr2011 june14 17_00_pospelov
Csr2011 june14 17_00_pospelovCsr2011 june14 17_00_pospelov
Csr2011 june14 17_00_pospelov
Ā 
11X1 T13 02 sketching polynomials
11X1 T13 02 sketching polynomials11X1 T13 02 sketching polynomials
11X1 T13 02 sketching polynomials
Ā 
12 x1 t07 01 projectile motion (2012)
12 x1 t07 01 projectile motion (2012)12 x1 t07 01 projectile motion (2012)
12 x1 t07 01 projectile motion (2012)
Ā 
Tail
TailTail
Tail
Ā 
Lesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential FunctionsLesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential Functions
Ā 
BioestadĆ­stica 1er parcial
BioestadĆ­stica 1er parcialBioestadĆ­stica 1er parcial
BioestadĆ­stica 1er parcial
Ā 
Lesson 6: Limits Involving Infinity (slides)
Lesson 6: Limits Involving Infinity (slides)Lesson 6: Limits Involving Infinity (slides)
Lesson 6: Limits Involving Infinity (slides)
Ā 
Unit Circle - Trigonometry
Unit Circle - TrigonometryUnit Circle - Trigonometry
Unit Circle - Trigonometry
Ā 
Scientific Computing with Python Webinar 9/18/2009:Curve Fitting
Scientific Computing with Python Webinar 9/18/2009:Curve FittingScientific Computing with Python Webinar 9/18/2009:Curve Fitting
Scientific Computing with Python Webinar 9/18/2009:Curve Fitting
Ā 
Lesson 4: Calcuating Limits (slides)
Lesson 4: Calcuating Limits (slides)Lesson 4: Calcuating Limits (slides)
Lesson 4: Calcuating Limits (slides)
Ā 

Viewers also liked (7)

La Computadora Y Sus Partes
La Computadora Y Sus PartesLa Computadora Y Sus Partes
La Computadora Y Sus Partes
Ā 
9 4-13 lessons 4-5
9 4-13 lessons 4-59 4-13 lessons 4-5
9 4-13 lessons 4-5
Ā 
S2214750014000067 gr1.jpg
S2214750014000067 gr1.jpgS2214750014000067 gr1.jpg
S2214750014000067 gr1.jpg
Ā 
Memorias Ddr NĀŗ6
Memorias Ddr NĀŗ6Memorias Ddr NĀŗ6
Memorias Ddr NĀŗ6
Ā 
Intro Redes
Intro RedesIntro Redes
Intro Redes
Ā 
Trabajo Practico NĀ°1
Trabajo Practico NĀ°1Trabajo Practico NĀ°1
Trabajo Practico NĀ°1
Ā 
Hulshoff factsheets
Hulshoff factsheetsHulshoff factsheets
Hulshoff factsheets
Ā 

Similar to Lesson 14: Exponential Functions

11 ma1aexpandednoteswk3
11 ma1aexpandednoteswk311 ma1aexpandednoteswk3
11 ma1aexpandednoteswk3
dinhmyhuyenvi
Ā 
Exponents
ExponentsExponents
Exponents
mstf mstf
Ā 
Exponents
ExponentsExponents
Exponents
mstf mstf
Ā 
Polynomial functions modelllings
Polynomial functions modelllingsPolynomial functions modelllings
Polynomial functions modelllings
Tarun Gehlot
Ā 
1050 text-ef
1050 text-ef1050 text-ef
1050 text-ef
supoteta
Ā 
2. Solutions_to_Atiyah_and_MacDonald
2. Solutions_to_Atiyah_and_MacDonald2. Solutions_to_Atiyah_and_MacDonald
2. Solutions_to_Atiyah_and_MacDonald
Nguyį»…n Loan
Ā 
Section 18.3-19.1.Today we will discuss finite-dimensional.docx
Section 18.3-19.1.Today we will discuss finite-dimensional.docxSection 18.3-19.1.Today we will discuss finite-dimensional.docx
Section 18.3-19.1.Today we will discuss finite-dimensional.docx
kenjordan97598
Ā 
Section 18.3-19.1.Today we will discuss finite-dimensional.docx
Section 18.3-19.1.Today we will discuss finite-dimensional.docxSection 18.3-19.1.Today we will discuss finite-dimensional.docx
Section 18.3-19.1.Today we will discuss finite-dimensional.docx
rtodd280
Ā 
Ian.petrow怐transcendental number theory怑.
Ian.petrow怐transcendental number theory怑.Ian.petrow怐transcendental number theory怑.
Ian.petrow怐transcendental number theory怑.
Tong Leung
Ā 

Similar to Lesson 14: Exponential Functions (20)

Lesson 13: Exponential and Logarithmic Functions (slides)
Lesson 13: Exponential and Logarithmic Functions (slides)Lesson 13: Exponential and Logarithmic Functions (slides)
Lesson 13: Exponential and Logarithmic Functions (slides)
Ā 
Calculus II - 23
Calculus II - 23Calculus II - 23
Calculus II - 23
Ā 
Lesson 14: Derivatives of Logarithmic and Exponential Functions (slides)
Lesson 14: Derivatives of Logarithmic and Exponential Functions (slides)Lesson 14: Derivatives of Logarithmic and Exponential Functions (slides)
Lesson 14: Derivatives of Logarithmic and Exponential Functions (slides)
Ā 
Lesson 14: Derivatives of Logarithmic and Exponential Functions (slides)
Lesson 14: Derivatives of Logarithmic and Exponential Functions (slides)Lesson 14: Derivatives of Logarithmic and Exponential Functions (slides)
Lesson 14: Derivatives of Logarithmic and Exponential Functions (slides)
Ā 
Pre-Cal 40S Slides October 26, 2007
Pre-Cal 40S Slides October 26, 2007Pre-Cal 40S Slides October 26, 2007
Pre-Cal 40S Slides October 26, 2007
Ā 
11 ma1aexpandednoteswk3
11 ma1aexpandednoteswk311 ma1aexpandednoteswk3
11 ma1aexpandednoteswk3
Ā 
Exponents
ExponentsExponents
Exponents
Ā 
Exponents
ExponentsExponents
Exponents
Ā 
Exponents
ExponentsExponents
Exponents
Ā 
EXPONENTS AND RADICALS
EXPONENTS AND RADICALSEXPONENTS AND RADICALS
EXPONENTS AND RADICALS
Ā 
Polynomial functions modelllings
Polynomial functions modelllingsPolynomial functions modelllings
Polynomial functions modelllings
Ā 
Ring
RingRing
Ring
Ā 
azEssay3
azEssay3azEssay3
azEssay3
Ā 
1050 text-ef
1050 text-ef1050 text-ef
1050 text-ef
Ā 
2. Solutions_to_Atiyah_and_MacDonald
2. Solutions_to_Atiyah_and_MacDonald2. Solutions_to_Atiyah_and_MacDonald
2. Solutions_to_Atiyah_and_MacDonald
Ā 
3.3 Proving Lines Parallel
3.3 Proving Lines Parallel3.3 Proving Lines Parallel
3.3 Proving Lines Parallel
Ā 
Area Under Curves Basic Concepts - JEE Main 2015
Area Under Curves Basic Concepts - JEE Main 2015 Area Under Curves Basic Concepts - JEE Main 2015
Area Under Curves Basic Concepts - JEE Main 2015
Ā 
Section 18.3-19.1.Today we will discuss finite-dimensional.docx
Section 18.3-19.1.Today we will discuss finite-dimensional.docxSection 18.3-19.1.Today we will discuss finite-dimensional.docx
Section 18.3-19.1.Today we will discuss finite-dimensional.docx
Ā 
Section 18.3-19.1.Today we will discuss finite-dimensional.docx
Section 18.3-19.1.Today we will discuss finite-dimensional.docxSection 18.3-19.1.Today we will discuss finite-dimensional.docx
Section 18.3-19.1.Today we will discuss finite-dimensional.docx
Ā 
Ian.petrow怐transcendental number theory怑.
Ian.petrow怐transcendental number theory怑.Ian.petrow怐transcendental number theory怑.
Ian.petrow怐transcendental number theory怑.
Ā 

More from Matthew Leingang

More from Matthew Leingang (20)

Making Lesson Plans
Making Lesson PlansMaking Lesson Plans
Making Lesson Plans
Ā 
Streamlining assessment, feedback, and archival with auto-multiple-choice
Streamlining assessment, feedback, and archival with auto-multiple-choiceStreamlining assessment, feedback, and archival with auto-multiple-choice
Streamlining assessment, feedback, and archival with auto-multiple-choice
Ā 
Electronic Grading of Paper Assessments
Electronic Grading of Paper AssessmentsElectronic Grading of Paper Assessments
Electronic Grading of Paper Assessments
Ā 
Lesson 27: Integration by Substitution (slides)
Lesson 27: Integration by Substitution (slides)Lesson 27: Integration by Substitution (slides)
Lesson 27: Integration by Substitution (slides)
Ā 
Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)
Ā 
Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)Lesson 26: The Fundamental Theorem of Calculus (slides)
Lesson 26: The Fundamental Theorem of Calculus (slides)
Ā 
Lesson 27: Integration by Substitution (handout)
Lesson 27: Integration by Substitution (handout)Lesson 27: Integration by Substitution (handout)
Lesson 27: Integration by Substitution (handout)
Ā 
Lesson 26: The Fundamental Theorem of Calculus (handout)
Lesson 26: The Fundamental Theorem of Calculus (handout)Lesson 26: The Fundamental Theorem of Calculus (handout)
Lesson 26: The Fundamental Theorem of Calculus (handout)
Ā 
Lesson 25: Evaluating Definite Integrals (slides)
Lesson 25: Evaluating Definite Integrals (slides)Lesson 25: Evaluating Definite Integrals (slides)
Lesson 25: Evaluating Definite Integrals (slides)
Ā 
Lesson 25: Evaluating Definite Integrals (handout)
Lesson 25: Evaluating Definite Integrals (handout)Lesson 25: Evaluating Definite Integrals (handout)
Lesson 25: Evaluating Definite Integrals (handout)
Ā 
Lesson 24: Areas and Distances, The Definite Integral (handout)
Lesson 24: Areas and Distances, The Definite Integral (handout)Lesson 24: Areas and Distances, The Definite Integral (handout)
Lesson 24: Areas and Distances, The Definite Integral (handout)
Ā 
Lesson 24: Areas and Distances, The Definite Integral (slides)
Lesson 24: Areas and Distances, The Definite Integral (slides)Lesson 24: Areas and Distances, The Definite Integral (slides)
Lesson 24: Areas and Distances, The Definite Integral (slides)
Ā 
Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)
Ā 
Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)
Ā 
Lesson 22: Optimization Problems (slides)
Lesson 22: Optimization Problems (slides)Lesson 22: Optimization Problems (slides)
Lesson 22: Optimization Problems (slides)
Ā 
Lesson 22: Optimization Problems (handout)
Lesson 22: Optimization Problems (handout)Lesson 22: Optimization Problems (handout)
Lesson 22: Optimization Problems (handout)
Ā 
Lesson 21: Curve Sketching (slides)
Lesson 21: Curve Sketching (slides)Lesson 21: Curve Sketching (slides)
Lesson 21: Curve Sketching (slides)
Ā 
Lesson 21: Curve Sketching (handout)
Lesson 21: Curve Sketching (handout)Lesson 21: Curve Sketching (handout)
Lesson 21: Curve Sketching (handout)
Ā 
Lesson 20: Derivatives and the Shapes of Curves (slides)
Lesson 20: Derivatives and the Shapes of Curves (slides)Lesson 20: Derivatives and the Shapes of Curves (slides)
Lesson 20: Derivatives and the Shapes of Curves (slides)
Ā 
Lesson 20: Derivatives and the Shapes of Curves (handout)
Lesson 20: Derivatives and the Shapes of Curves (handout)Lesson 20: Derivatives and the Shapes of Curves (handout)
Lesson 20: Derivatives and the Shapes of Curves (handout)
Ā 

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
Ā 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
ZurliaSoop
Ā 
Vishram Singh - Textbook of Anatomy Upper Limb and Thorax.. Volume 1 (1).pdf
Vishram Singh - Textbook of Anatomy  Upper Limb and Thorax.. Volume 1 (1).pdfVishram Singh - Textbook of Anatomy  Upper Limb and Thorax.. Volume 1 (1).pdf
Vishram Singh - Textbook of Anatomy Upper Limb and Thorax.. Volume 1 (1).pdf
ssuserdda66b
Ā 

Recently uploaded (20)

How to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POSHow to Manage Global Discount in Odoo 17 POS
How to Manage Global Discount in Odoo 17 POS
Ā 
Fostering Friendships - Enhancing Social Bonds in the Classroom
Fostering Friendships - Enhancing Social Bonds  in the ClassroomFostering Friendships - Enhancing Social Bonds  in the Classroom
Fostering Friendships - Enhancing Social Bonds in the Classroom
Ā 
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
Ā 
Spatium Project Simulation student brief
Spatium Project Simulation student briefSpatium Project Simulation student brief
Spatium Project Simulation student brief
Ā 
Understanding Accommodations and Modifications
Understanding  Accommodations and ModificationsUnderstanding  Accommodations and Modifications
Understanding Accommodations and Modifications
Ā 
SOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning PresentationSOC 101 Demonstration of Learning Presentation
SOC 101 Demonstration of Learning Presentation
Ā 
Application orientated numerical on hev.ppt
Application orientated numerical on hev.pptApplication orientated numerical on hev.ppt
Application orientated numerical on hev.ppt
Ā 
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
Ā 
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdfUGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
UGC NET Paper 1 Mathematical Reasoning & Aptitude.pdf
Ā 
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
Ā 
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
Ā 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Ā 
Unit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptxUnit-V; Pricing (Pharma Marketing Management).pptx
Unit-V; Pricing (Pharma Marketing Management).pptx
Ā 
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)
Ā 
Towards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptxTowards a code of practice for AI in AT.pptx
Towards a code of practice for AI in AT.pptx
Ā 
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Explore beautiful and ugly buildings. Mathematics helps us create beautiful d...
Ā 
Single or Multiple melodic lines structure
Single or Multiple melodic lines structureSingle or Multiple melodic lines structure
Single or Multiple melodic lines structure
Ā 
ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.ICT role in 21st century education and it's challenges.
ICT role in 21st century education and it's challenges.
Ā 
Vishram Singh - Textbook of Anatomy Upper Limb and Thorax.. Volume 1 (1).pdf
Vishram Singh - Textbook of Anatomy  Upper Limb and Thorax.. Volume 1 (1).pdfVishram Singh - Textbook of Anatomy  Upper Limb and Thorax.. Volume 1 (1).pdf
Vishram Singh - Textbook of Anatomy Upper Limb and Thorax.. Volume 1 (1).pdf
Ā 
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptxHMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
HMCS Max Bernays Pre-Deployment Brief (May 2024).pptx
Ā 

Lesson 14: Exponential Functions

  • 1. Section 3.1 Exponential Functions V63.0121.027, Calculus I October 20, 2009 . . . . . .
  • 2. Outline Deļ¬nition of exponential functions Properties of exponential Functions The number e and the natural exponential function Compound Interest The number e A limit . . . . . .
  • 3. Deļ¬nition If a is a real number and n is a positive whole number, then an = a Ā· a Ā· Ā· Ā· Ā· Ā· a n factors . . . . . .
  • 4. Deļ¬nition If a is a real number and n is a positive whole number, then an = a Ā· a Ā· Ā· Ā· Ā· Ā· a n factors Examples 23 = 2 Ā· 2 Ā· 2 = 8 34 = 3 Ā· 3 Ā· 3 Ā· 3 = 81 (āˆ’1)5 = (āˆ’1)(āˆ’1)(āˆ’1)(āˆ’1)(āˆ’1) = āˆ’1 . . . . . .
  • 5. Fact If a is a real number, then ax+y = ax ay ax axāˆ’y = y a (ax )y = axy (ab)x = ax bx whenever all exponents are positive whole numbers. . . . . . .
  • 6. Fact If a is a real number, then ax+y = ax ay ax axāˆ’y = y a (ax )y = axy (ab)x = ax bx whenever all exponents are positive whole numbers. Proof. Check for yourself: a x +y = a Ā· a Ā· Ā· Ā· Ā· Ā· a = a Ā· a Ā· Ā· Ā· Ā· Ā· a Ā· a Ā· a Ā· Ā· Ā· Ā· Ā· a = a x a y x + y factors x factors y factors . . . . . .
  • 7. Letā€™s be conventional The desire that these properties remain true gives us conventions for ax when x is not a positive whole number. . . . . . .
  • 8. Letā€™s be conventional The desire that these properties remain true gives us conventions for ax when x is not a positive whole number. For example: a n = a n +0 = a n a 0 ! . . . . . .
  • 9. Letā€™s be conventional The desire that these properties remain true gives us conventions for ax when x is not a positive whole number. For example: a n = a n +0 = a n a 0 ! Deļ¬nition If a Ģø= 0, we deļ¬ne a0 = 1. . . . . . .
  • 10. Letā€™s be conventional The desire that these properties remain true gives us conventions for ax when x is not a positive whole number. For example: a n = a n +0 = a n a 0 ! Deļ¬nition If a Ģø= 0, we deļ¬ne a0 = 1. Notice 00 remains undeļ¬ned (as a limit form, itā€™s indeterminate). . . . . . .
  • 11. Conventions for negative exponents If n ā‰„ 0, we want an Ā· aāˆ’n = an+(āˆ’n) = a0 = 1 ! . . . . . .
  • 12. Conventions for negative exponents If n ā‰„ 0, we want an Ā· aāˆ’n = an+(āˆ’n) = a0 = 1 ! Deļ¬nition 1 If n is a positive integer, we deļ¬ne aāˆ’n = . an . . . . . .
  • 13. Conventions for negative exponents If n ā‰„ 0, we want an Ā· aāˆ’n = an+(āˆ’n) = a0 = 1 ! Deļ¬nition 1 If n is a positive integer, we deļ¬ne aāˆ’n = . an Fact 1 The convention that aāˆ’n = ā€œworksā€ for negative n as well. an am If m and n are any integers, then amāˆ’n = n . a . . . . . .
  • 14. Conventions for fractional exponents If q is a positive integer, we want (a1/q )q = a1 = a ! . . . . . .
  • 15. Conventions for fractional exponents If q is a positive integer, we want (a1/q )q = a1 = a ! Deļ¬nition āˆš If q is a positive integer, we deļ¬ne a1/q = q a. We must have a ā‰„ 0 if q is even. . . . . . .
  • 16. Conventions for fractional exponents If q is a positive integer, we want (a1/q )q = a1 = a ! Deļ¬nition āˆš If q is a positive integer, we deļ¬ne a1/q = q a. We must have a ā‰„ 0 if q is even. Fact Now we can say ap/q = (a1/q )p without ambiguity . . . . . .
  • 17. Conventions for irrational powers So ax is well-deļ¬ned if x is rational. What about irrational powers? . . . . . .
  • 18. Conventions for irrational powers So ax is well-deļ¬ned if x is rational. What about irrational powers? Deļ¬nition Let a > 0. Then ax = lim ar rā†’x r rational . . . . . .
  • 19. Conventions for irrational powers So ax is well-deļ¬ned if x is rational. What about irrational powers? Deļ¬nition Let a > 0. Then ax = lim ar rā†’x r rational In other words, to approximate ax for irrational x, take r close to x but rational and compute ar . . . . . . .
  • 21. Graphs of various exponential functions y . . = 1x y . x . . . . . . .
  • 22. Graphs of various exponential functions y . . = 2x y . = 1x y . x . . . . . . .
  • 23. Graphs of various exponential functions y . . = 3x. = 2x y y . = 1x y . x . . . . . . .
  • 24. Graphs of various exponential functions y . . = 10x= 3x. = 2x y y . y . = 1x y . x . . . . . . .
  • 25. Graphs of various exponential functions y . . = 10x= 3x. = 2x y y . y . = 1.5x y . = 1x y . x . . . . . . .
  • 26. Graphs of various exponential functions y . . = (1/2)x y . = 10x= 3x. = 2x y y . y . = 1.5x y . = 1x y . x . . . . . . .
  • 27. Graphs of various exponential functions y . y y . = x . = (1/2)x (1/3) . = 10x= 3x. = 2x y y . y . = 1.5x y . = 1x y . x . . . . . . .
  • 28. Graphs of various exponential functions y . y y . = x . = (1/2)x (1/3) . = (1/10)x. = 10x= 3x. = 2x y y y . y . = 1.5x y . = 1x y . x . . . . . . .
  • 29. Graphs of various exponential functions y . yy = 213)x . . = ((//2)x (1/3)x y . = . = (1/10)x. = 10x= 3x. = 2x y y y . y . = 1.5x y . = 1x y . x . . . . . . .
  • 30. Outline Deļ¬nition of exponential functions Properties of exponential Functions The number e and the natural exponential function Compound Interest The number e A limit . . . . . .
  • 31. Properties of exponential Functions Theorem If a > 0 and a Ģø= 1, then f(x) = ax is a continuous function with domain R and range (0, āˆž). In particular, ax > 0 for all x. If a, b > 0 and x, y āˆˆ R, then ax+y = ax ay ax axāˆ’y = y a (ax )y = axy (ab)x = ax bx Proof. This is true for positive integer exponents by natural deļ¬nition Our conventional deļ¬nitions make these true for rational exponents Our limit deļ¬nition make these for irrational exponents, too . . . . . .
  • 32. Properties of exponential Functions Theorem If a > 0 and a Ģø= 1, then f(x) = ax is a continuous function with domain R and range (0, āˆž). In particular, ax > 0 for all x. If a, b > 0 and x, y āˆˆ R, then ax+y = ax ay ax axāˆ’y = y negative exponents mean reciprocals. a (ax )y = axy (ab)x = ax bx Proof. This is true for positive integer exponents by natural deļ¬nition Our conventional deļ¬nitions make these true for rational exponents Our limit deļ¬nition make these for irrational exponents, too . . . . . .
  • 33. Properties of exponential Functions Theorem If a > 0 and a Ģø= 1, then f(x) = ax is a continuous function with domain R and range (0, āˆž). In particular, ax > 0 for all x. If a, b > 0 and x, y āˆˆ R, then ax+y = ax ay ax axāˆ’y = y negative exponents mean reciprocals. a (ax )y = axy fractional exponents mean roots (ab)x = ax bx Proof. This is true for positive integer exponents by natural deļ¬nition Our conventional deļ¬nitions make these true for rational exponents Our limit deļ¬nition make these for irrational exponents, too . . . . . .
  • 34. Example Simplify: 82/3 . . . . . .
  • 35. Example Simplify: 82/3 Solution āˆš 3 āˆš 8 2 /3 = 82 = 3 64 = 4 . . . . . .
  • 36. Example Simplify: 82/3 Solution āˆš3 āˆš 82/3 = 82 = 64 = 4 3 (āˆš )2 8 = 22 = 4. 3 Or, . . . . . .
  • 37. Example Simplify: 82/3 Solution āˆš3 āˆš 82/3 = 82 = 64 = 4 3 (āˆš )2 8 = 22 = 4. 3 Or, Example āˆš 8 Simplify: 1/2 2 . . . . . .
  • 38. Example Simplify: 82/3 Solution āˆš3 āˆš 82/3 = 82 = 64 = 4 3 (āˆš )2 8 = 22 = 4. 3 Or, Example āˆš 8 Simplify: 1/2 2 Answer 2 . . . . . .
  • 39. Fact (Limits of exponential functions) y . . = (= 2()1/3)x3)x y . 1/=x(2/ y y . . = (. /10)10x = 2x. = y y = x . 3x y y y 1 . = If a > 1, then lim ax = āˆž and xā†’āˆž lim ax = 0 xā†’āˆ’āˆž If 0 < a < 1, then lim ax = 0 and y . = xā†’āˆž lim ax = āˆž . x . xā†’āˆ’āˆž . . . . . .
  • 40. Outline Deļ¬nition of exponential functions Properties of exponential Functions The number e and the natural exponential function Compound Interest The number e A limit . . . . . .
  • 41. Compounded Interest Question Suppose you save $100 at 10% annual interest, with interest compounded once a year. How much do you have After one year? After two years? after t years? . . . . . .
  • 42. Compounded Interest Question Suppose you save $100 at 10% annual interest, with interest compounded once a year. How much do you have After one year? After two years? after t years? Answer $100 + 10% = $110 . . . . . .
  • 43. Compounded Interest Question Suppose you save $100 at 10% annual interest, with interest compounded once a year. How much do you have After one year? After two years? after t years? Answer $100 + 10% = $110 $110 + 10% = $110 + $11 = $121 . . . . . .
  • 44. Compounded Interest Question Suppose you save $100 at 10% annual interest, with interest compounded once a year. How much do you have After one year? After two years? after t years? Answer $100 + 10% = $110 $110 + 10% = $110 + $11 = $121 $100(1.1)t . . . . . . .
  • 45. Compounded Interest: quarterly Question Suppose you save $100 at 10% annual interest, with interest compounded four times a year. How much do you have After one year? After two years? after t years? . . . . . .
  • 46. Compounded Interest: quarterly Question Suppose you save $100 at 10% annual interest, with interest compounded four times a year. How much do you have After one year? After two years? after t years? Answer $100(1.025)4 = $110.38, . . . . . .
  • 47. Compounded Interest: quarterly Question Suppose you save $100 at 10% annual interest, with interest compounded four times a year. How much do you have After one year? After two years? after t years? Answer $100(1.025)4 = $110.38, not $100(1.1)4 ! . . . . . .
  • 48. Compounded Interest: quarterly Question Suppose you save $100 at 10% annual interest, with interest compounded four times a year. How much do you have After one year? After two years? after t years? Answer $100(1.025)4 = $110.38, not $100(1.1)4 ! $100(1.025)8 = $121.84 . . . . . .
  • 49. Compounded Interest: quarterly Question Suppose you save $100 at 10% annual interest, with interest compounded four times a year. How much do you have After one year? After two years? after t years? Answer $100(1.025)4 = $110.38, not $100(1.1)4 ! $100(1.025)8 = $121.84 $100(1.025)4t . . . . . . .
  • 50. Compounded Interest: monthly Question Suppose you save $100 at 10% annual interest, with interest compounded twelve times a year. How much do you have after t years? . . . . . .
  • 51. Compounded Interest: monthly Question Suppose you save $100 at 10% annual interest, with interest compounded twelve times a year. How much do you have after t years? Answer $100(1 + 10%/12)12t . . . . . .
  • 52. Compounded Interest: general Question Suppose you save P at interest rate r, with interest compounded n times a year. How much do you have after t years? . . . . . .
  • 53. Compounded Interest: general Question Suppose you save P at interest rate r, with interest compounded n times a year. How much do you have after t years? Answer ( r )nt B(t) = P 1 + n . . . . . .
  • 54. Compounded Interest: continuous Question Suppose you save P at interest rate r, with interest compounded every instant. How much do you have after t years? . . . . . .
  • 55. Compounded Interest: continuous Question Suppose you save P at interest rate r, with interest compounded every instant. How much do you have after t years? Answer ( ( ) r )nt 1 rnt B(t) = lim P 1 + = lim P 1 + nā†’āˆž n nā†’āˆž n [ ( )n ]rt 1 = P lim 1 + nā†’āˆž n independent of P, r, or t . . . . . .
  • 56. The magic number Deļ¬nition ( )n 1 e = lim 1+ nā†’āˆž n . . . . . .
  • 57. The magic number Deļ¬nition ( )n 1 e = lim 1+ nā†’āˆž n So now continuously-compounded interest can be expressed as B(t) = Pert . . . . . . .
  • 58. Existence of e See Appendix B ( )n 1 n 1+ n 1 2 2 2.25 . . . . . .
  • 59. Existence of e See Appendix B ( )n 1 n 1+ n 1 2 2 2.25 3 2.37037 . . . . . .
  • 60. Existence of e See Appendix B ( )n 1 n 1+ n 1 2 2 2.25 3 2.37037 10 2.59374 . . . . . .
  • 61. Existence of e See Appendix B ( )n 1 n 1+ n 1 2 2 2.25 3 2.37037 10 2.59374 100 2.70481 . . . . . .
  • 62. Existence of e See Appendix B ( )n 1 n 1+ n 1 2 2 2.25 3 2.37037 10 2.59374 100 2.70481 1000 2.71692 . . . . . .
  • 63. Existence of e See Appendix B ( )n 1 n 1+ n 1 2 2 2.25 3 2.37037 10 2.59374 100 2.70481 1000 2.71692 106 2.71828 . . . . . .
  • 64. Existence of e See Appendix B ( )n 1 We can experimentally n 1+ n verify that this number 1 2 exists and is 2 2.25 e ā‰ˆ 2.718281828459045 . . . 3 2.37037 10 2.59374 100 2.70481 1000 2.71692 106 2.71828 . . . . . .
  • 65. Existence of e See Appendix B ( )n 1 We can experimentally n 1+ n verify that this number 1 2 exists and is 2 2.25 e ā‰ˆ 2.718281828459045 . . . 3 2.37037 10 2.59374 e is irrational 100 2.70481 1000 2.71692 106 2.71828 . . . . . .
  • 66. Existence of e See Appendix B ( )n 1 We can experimentally n 1+ n verify that this number 1 2 exists and is 2 2.25 e ā‰ˆ 2.718281828459045 . . . 3 2.37037 10 2.59374 e is irrational 100 2.70481 e is transcendental 1000 2.71692 106 2.71828 . . . . . .
  • 67. Meet the Mathematician: Leonhard Euler Born in Switzerland, lived in Prussia (Germany) and Russia Eyesight trouble all his life, blind from 1766 onward Hundreds of contributions to calculus, number theory, graph theory, ļ¬‚uid mechanics, optics, and astronomy Leonhard Paul Euler Swiss, 1707ā€“1783 . . . . . .
  • 68. A limit Question eh āˆ’ 1 What is lim ? hā†’0 h . . . . . .
  • 69. A limit Question eh āˆ’ 1 What is lim ? hā†’0 h Answer If h is small enough, e ā‰ˆ (1 + h)1/h . So eh āˆ’ 1 ā‰ˆ1 h . . . . . .
  • 70. A limit Question eh āˆ’ 1 What is lim ? hā†’0 h Answer If h is small enough, e ā‰ˆ (1 + h)1/h . So eh āˆ’ 1 ā‰ˆ1 h eh āˆ’ 1 In fact, lim = 1. hā†’0 h This can be used to characterize e: 2h āˆ’ 1 3h āˆ’ 1 lim = 0.693 Ā· Ā· Ā· < 1 and lim = 1.099 Ā· Ā· Ā· < 1 hā†’0 h hā†’0 h . . . . . .