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Section	1.2–1.3
     A Catalog	of	Essential	Functions
         The	Limit	of	a	Function

                 V63.0121.027, Calculus	I



                    September	10, 2009


Announcements
   Syllabus	is	on	the	common	Blackboard
   Office	Hours	MTWR 3–4pm
   Read	Sections	1.1–1.3	of	the	textbook	this	week.
                                          .   .   .   .   .   .
Outline
  Classes	of	Functions
     Linear	functions
     Quadratic	functions
     Cubic	functions
     Other	power	functions
     Rational	functions
     Trigonometric	Functions
     Exponential	and	Logarithmic	functions
  Transformations	of	Functions
  Compositions	of	Functions
  Limits
     Heuristics
     Errors	and	tolerances
     Examples
     Pathologies
                                             .   .   .   .   .   .
Classes	of	Functions



      linear	functions, defined	by	slope	an	intercept, point	and
      point, or	point	and	slope.
      quadratic	functions, cubic	functions, power	functions,
      polynomials
      rational	functions
      trigonometric	functions
      exponential/logarithmic	functions




                                             .    .   .    .      .   .
Linear	functions

   Linear	functions	have	a	constant	rate	of	growth	and	are	of	the
   form
                            f(x) = mx + b.




                                               .    .   .    .      .   .
Linear	functions

   Linear	functions	have	a	constant	rate	of	growth	and	are	of	the
   form
                            f(x) = mx + b.


   Example
   In	New	York	City	taxis	cost	$2.50	to	get	in	and	$0.40	per 1/5
   mile. Write	the	fare f(x) as	a	function	of	distance x traveled.




                                                 .   .    .    .     .   .
Linear	functions

   Linear	functions	have	a	constant	rate	of	growth	and	are	of	the
   form
                            f(x) = mx + b.


   Example
   In	New	York	City	taxis	cost	$2.50	to	get	in	and	$0.40	per 1/5
   mile. Write	the	fare f(x) as	a	function	of	distance x traveled.

   Answer
   If x is	in	miles	and f(x) in	dollars,

                               f(x) = 2.5 + 2x



                                                 .   .    .    .     .   .
Quadratic	functions




   These	take	the	form

                         f(x) = ax2 + bx + c




                                               .   .   .   .   .   .
Quadratic	functions




   These	take	the	form

                         f(x) = ax2 + bx + c

   The	graph	is	a	parabola	which	opens	upward	if a > 0, downward
   if a < 0.




                                               .   .   .   .   .   .
Cubic	functions




   These	take	the	form

                         f(x) = ax3 + bx2 + cx + d




                                                .    .   .   .   .   .
Other	power	functions




      Whole	number	powers: f(x) = xn .
                                               1
      negative	powers	are	reciprocals: x−3 = 3 .
                                               x
                                          √
      fractional	powers	are	roots: x1/3 = 3 x.




                                            .      .   .   .   .   .
Rational	functions




   Definition
   A rational	function is	a	quotient	of	polynomials.

   Example
                            x 3 (x + 3 )
   The	function f(x) =                   is	rational.
                         (x + 2)(x − 1)




                                                   .    .   .   .   .   .
Trigonometric	Functions




      Sine	and	cosine
      Tangent	and	cotangent
      Secant	and	cosecant




                              .   .   .   .   .   .
Exponential	and	Logarithmic	functions




      exponential	functions	(for	example f(x) = 2x )
      logarithmic	functions	are	their	inverses	(for	example
      f(x) = log2 (x))




                                              .    .   .      .   .   .
Outline
  Classes	of	Functions
     Linear	functions
     Quadratic	functions
     Cubic	functions
     Other	power	functions
     Rational	functions
     Trigonometric	Functions
     Exponential	and	Logarithmic	functions
  Transformations	of	Functions
  Compositions	of	Functions
  Limits
     Heuristics
     Errors	and	tolerances
     Examples
     Pathologies
                                             .   .   .   .   .   .
Transformations	of	Functions


   Take	the sine	function and	graph	these	transformations:
           (     π)
       sin x +
           (     2
                 π)
       sin x −
                 2
                 π
       sin (x) +
                 2
                 π
       sin (x) −
                 2




                                               .   .   .     .   .   .
Transformations	of	Functions


   Take	the sine	function and	graph	these	transformations:
            (     π)
        sin x +
            (     2
                  π)
        sin x −
                  2
                  π
        sin (x) +
                  2
                  π
        sin (x) −
                  2
   Observe	that	if	the	fiddling	occurs	within	the	function, a
   transformation	is	applied	on	the x-axis. After	the	function, to	the
   y-axis.




                                                 .   .    .    .   .     .
Vertical	and	Horizontal	Shifts



   Suppose c > 0. To	obtain	the	graph	of
       y = f(x) + c, shift	the	graph	of y = f(x) a	distance c units

       y = f(x) − c, shift	the	graph	of y = f(x) a	distance c units

       y = f(x − c), shift	the	graph	of y = f(x) a	distance c units

       y = f(x + c), shift	the	graph	of y = f(x) a	distance c units




                                                 .   .    .    .      .   .
Vertical	and	Horizontal	Shifts



   Suppose c > 0. To	obtain	the	graph	of
       y = f(x) + c, shift	the	graph	of y = f(x) a	distance c units
       upward
       y = f(x) − c, shift	the	graph	of y = f(x) a	distance c units

       y = f(x − c), shift	the	graph	of y = f(x) a	distance c units

       y = f(x + c), shift	the	graph	of y = f(x) a	distance c units




                                                 .   .    .    .      .   .
Vertical	and	Horizontal	Shifts



   Suppose c > 0. To	obtain	the	graph	of
       y = f(x) + c, shift	the	graph	of y = f(x) a	distance c units
       upward
       y = f(x) − c, shift	the	graph	of y = f(x) a	distance c units
       downward
       y = f(x − c), shift	the	graph	of y = f(x) a	distance c units

       y = f(x + c), shift	the	graph	of y = f(x) a	distance c units




                                                 .   .    .    .      .   .
Vertical	and	Horizontal	Shifts



   Suppose c > 0. To	obtain	the	graph	of
       y = f(x) + c, shift	the	graph	of y = f(x) a	distance c units
       upward
       y = f(x) − c, shift	the	graph	of y = f(x) a	distance c units
       downward
       y = f(x − c), shift	the	graph	of y = f(x) a	distance c units to
       the	right
       y = f(x + c), shift	the	graph	of y = f(x) a	distance c units




                                                 .    .   .    .      .   .
Vertical	and	Horizontal	Shifts



   Suppose c > 0. To	obtain	the	graph	of
       y = f(x) + c, shift	the	graph	of y = f(x) a	distance c units
       upward
       y = f(x) − c, shift	the	graph	of y = f(x) a	distance c units
       downward
       y = f(x − c), shift	the	graph	of y = f(x) a	distance c units to
       the	right
       y = f(x + c), shift	the	graph	of y = f(x) a	distance c units to
       the	left




                                                 .    .   .    .      .   .
Outline
  Classes	of	Functions
     Linear	functions
     Quadratic	functions
     Cubic	functions
     Other	power	functions
     Rational	functions
     Trigonometric	Functions
     Exponential	and	Logarithmic	functions
  Transformations	of	Functions
  Compositions	of	Functions
  Limits
     Heuristics
     Errors	and	tolerances
     Examples
     Pathologies
                                             .   .   .   .   .   .
Composition	is	a	compounding	of	functions	in
succession




                           g
                           . ◦f
                   .
           x
           .           f
                       .     .    g
                                  .       . g ◦ f)(x)
                                          (
                           f
                           .(x)




                                      .       .     .   .   .   .
Composing




  Example
  Let f(x) = x2 and g(x) = sin x. Compute f ◦ g and g ◦ f.




                                                .    .   .   .   .   .
Composing




  Example
  Let f(x) = x2 and g(x) = sin x. Compute f ◦ g and g ◦ f.

  Solution
  f ◦ g(x) = sin2 x while g ◦ f(x) = sin(x2 ). Note	they	are not the
  same.




                                                 .    .    .    .      .   .
Decomposing




  Example
        √
  Express x2 − 4 as	a	composition	of	two	functions. What	is	its
  domain?

  Solution                                          √
  We	can	write	the	expression	as f ◦ g, where f(u) = u and
  g(x) = x2 − 4. The	range	of g needs	to	be	within	the	domain	of f.
  To	insure	that x2 − 4 ≥ 0, we	must	have x ≤ −2 or x ≥ 2.




                                              .   .    .   .    .     .
The	Far	Side




               .   .   .   .   .   .
Outline
  Classes	of	Functions
     Linear	functions
     Quadratic	functions
     Cubic	functions
     Other	power	functions
     Rational	functions
     Trigonometric	Functions
     Exponential	and	Logarithmic	functions
  Transformations	of	Functions
  Compositions	of	Functions
  Limits
     Heuristics
     Errors	and	tolerances
     Examples
     Pathologies
                                             .   .   .   .   .   .
Limit




        .   .   .   .   .   .
Zeno’s	Paradox




                      That	which	is	in
                      locomotion	must
                      arrive	at	the
                      half-way	stage
                      before	it	arrives	at
                      the	goal.

                 (Aristotle Physics VI:9,
                 239b10)




                          .    .    .    .   .   .
Heuristic	Definition	of	a	Limit



   Definition
   We	write
                                lim f(x) = L
                               x→a

   and	say

              “the	limit	of f(x), as x approaches a, equals L”

   if	we	can	make	the	values	of f(x) arbitrarily	close	to L (as	close	to
   L as	we	like)	by	taking x to	be	sufficiently	close	to a (on	either
   side	of a)	but	not	equal	to a.




                                                  .   .    .     .   .     .
The	error-tolerance	game



   A game	between	two	players	to	decide	if	a	limit lim f(x) exists.
                                                      x→a
       Player	1: Choose L to	be	the	limit.
       Player	2: Propose	an	“error”	level	around L.
       Player	1: Choose	a	“tolerance”	level	around a so	that
       x-points	within	that	tolerance	level	are	taken	to y-values
       within	the	error	level.
   If	Player	1	can	always	win, lim f(x) = L.
                               x→a




                                                .     .     .   .   .   .
The	error-tolerance	game




    L
    .




        .
                           a
                           .




                               .   .   .   .   .   .
The	error-tolerance	game




    L
    .




        .
                           a
                           .




                               .   .   .   .   .   .
The	error-tolerance	game




    L
    .




         .
                                  a
                                  .

        To	be	legit, the	part	of	the	graph	inside	the	blue	(vertical)
        strip	must	also	be	inside	the	green	(horizontal)	strip.


                                                  .    .    .   .       .   .
The	error-tolerance	game

                                           T
                                           . his	tolerance	is	too	big

    L
    .




         .
                                  a
                                  .

        To	be	legit, the	part	of	the	graph	inside	the	blue	(vertical)
        strip	must	also	be	inside	the	green	(horizontal)	strip.


                                                  .    .    .    .      .   .
The	error-tolerance	game




    L
    .




         .
                                  a
                                  .

        To	be	legit, the	part	of	the	graph	inside	the	blue	(vertical)
        strip	must	also	be	inside	the	green	(horizontal)	strip.


                                                  .    .    .   .       .   .
The	error-tolerance	game

                                           S
                                           . till	too	big

    L
    .




         .
                                  a
                                  .

        To	be	legit, the	part	of	the	graph	inside	the	blue	(vertical)
        strip	must	also	be	inside	the	green	(horizontal)	strip.


                                                   .        .   .   .   .   .
The	error-tolerance	game




    L
    .




         .
                                  a
                                  .

        To	be	legit, the	part	of	the	graph	inside	the	blue	(vertical)
        strip	must	also	be	inside	the	green	(horizontal)	strip.


                                                  .    .    .   .       .   .
The	error-tolerance	game

                                           T
                                           . his	looks	good

    L
    .




         .
                                  a
                                  .

        To	be	legit, the	part	of	the	graph	inside	the	blue	(vertical)
        strip	must	also	be	inside	the	green	(horizontal)	strip.


                                                  .    .      .   .     .   .
The	error-tolerance	game


                                           S
                                           . o	does	this

    L
    .




         .
                                  a
                                  .

        To	be	legit, the	part	of	the	graph	inside	the	blue	(vertical)
        strip	must	also	be	inside	the	green	(horizontal)	strip.


                                                  .    .    .   .       .   .
The	error-tolerance	game




    L
    .




         .
                                   a
                                   .

        To	be	legit, the	part	of	the	graph	inside	the	blue	(vertical)
        strip	must	also	be	inside	the	green	(horizontal)	strip.
        If	Player	2	shrinks	the	error, Player	1	can	still	win.
                                                   .   .    .    .      .   .
The	error-tolerance	game




    L
    .




         .
                                   a
                                   .

        To	be	legit, the	part	of	the	graph	inside	the	blue	(vertical)
        strip	must	also	be	inside	the	green	(horizontal)	strip.
        If	Player	2	shrinks	the	error, Player	1	can	still	win.
                                                   .   .    .    .      .   .
Example
Find lim x2 if	it	exists.
     x→0




                            .   .   .   .   .   .
Example
Find lim x2 if	it	exists.
     x→0

Solution
     I claim	the	limit	is	zero.




                                  .   .   .   .   .   .
Example
Find lim x2 if	it	exists.
     x→0

Solution
     I claim	the	limit	is	zero.
     If	the	error	level	is 0.01, I need	to	guarantee	that
     −0.01 < x2 < 0.01 for	all x sufficiently	close	to	zero.




                                             .    .   .       .   .   .
Example
Find lim x2 if	it	exists.
     x→0

Solution
     I claim	the	limit	is	zero.
     If	the	error	level	is 0.01, I need	to	guarantee	that
     −0.01 < x2 < 0.01 for	all x sufficiently	close	to	zero.
     If −0.1 < x < 0.1, then 0 ≤ x2 ≤ 0.01, so	I win	that	round.




                                             .    .   .       .   .   .
Example
Find lim x2 if	it	exists.
     x→0

Solution
     I claim	the	limit	is	zero.
     If	the	error	level	is 0.01, I need	to	guarantee	that
     −0.01 < x2 < 0.01 for	all x sufficiently	close	to	zero.
     If −0.1 < x < 0.1, then 0 ≤ x2 ≤ 0.01, so	I win	that	round.
     What	should	the	tolerance	be	if	the	error	is 0.0001?




                                             .    .   .       .   .   .
Example
Find lim x2 if	it	exists.
     x→0

Solution
     I claim	the	limit	is	zero.
     If	the	error	level	is 0.01, I need	to	guarantee	that
     −0.01 < x2 < 0.01 for	all x sufficiently	close	to	zero.
     If −0.1 < x < 0.1, then 0 ≤ x2 ≤ 0.01, so	I win	that	round.
     What	should	the	tolerance	be	if	the	error	is 0.0001?
By	setting	tolerance	equal	to	the	square	root	of	the	error, we	can
guarantee	to	be	within	any	error.




                                             .    .   .       .   .   .
Example
       |x|
Find lim   if	it	exists.
    x→0 x




                           .   .   .   .   .   .
Example
        |x|
Find lim    if	it	exists.
     x→0 x

Solution
The	function	can	also	be	written	as
                            {
                      |x|     1     if x > 0;
                          =
                       x      −1 if x < 0

What	would	be	the	limit?




                                                .   .   .   .   .   .
The	error-tolerance	game
                            y
                            .



                           . .
                           1


                             .                   x
                                                 .


                       . 1.
                       −




                                 .   .   .   .       .   .
The	error-tolerance	game
                            y
                            .



                           . .
                           1


                             .                   x
                                                 .


                       . 1.
                       −




                                 .   .   .   .       .   .
The	error-tolerance	game
                            y
                            .



                           . .
                           1


                             .                   x
                                                 .


                       . 1.
                       −




                                 .   .   .   .       .   .
The	error-tolerance	game
                            y
                            .



                           . .
                           1


                             .                   x
                                                 .


                       . 1.
                       −




                                 .   .   .   .       .   .
The	error-tolerance	game
                            y
                            .



                           . .
                           1


                             .                       x
                                                     .

                                 .
                                 Part of graph in-
                       . 1.
                       −         side blue is not
                                 inside green




                                   .    .   .    .       .   .
The	error-tolerance	game
                            y
                            .



                           . .
                           1


                             .                   x
                                                 .


                       . 1.
                       −




                                 .   .   .   .       .   .
The	error-tolerance	game
                            y
                            .



                           . .
                           1


                             .                   x
                                                 .


                       . 1.
                       −




                                 .   .   .   .       .   .
The	error-tolerance	game
                            y
                            .

     .
     Part of graph in-
     side blue is not      . .
                           1
     inside green

                             .                   x
                                                 .


                         . 1.
                         −




                                 .   .   .   .       .   .
The	error-tolerance	game
                                 y
                                 .

     .
     Part of graph in-
     side blue is not          . .
                               1
     inside green

                                 .                              x
                                                                .


                             . 1.
                             −




      These	are	the	only	good	choices; the	limit	does	not	exist.

                                              .   .    .    .       .   .
One-sided	limits



   Definition
   We	write
                               lim f(x) = L
                               x→a+

   and	say

     “the	limit	of f(x), as x approaches a from	the right, equals L”

   if	we	can	make	the	values	of f(x) arbitrarily	close	to L (as	close	to
   L as	we	like)	by	taking x to	be	sufficiently	close	to a (on	either
   side	of a)	and greater than a.




                                                 .    .    .    .   .      .
One-sided	limits



   Definition
   We	write
                               lim f(x) = L
                              x→a−

   and	say

      “the	limit	of f(x), as x approaches a from	the left, equals L”

   if	we	can	make	the	values	of f(x) arbitrarily	close	to L (as	close	to
   L as	we	like)	by	taking x to	be	sufficiently	close	to a (on	either
   side	of a)	and less than a.




                                                 .    .    .    .      .   .
Example
        |x|
Find lim    if	it	exists.
     x→0 x

Solution
The	function	can	also	be	written	as
                            {
                      |x|     1     if x > 0;
                          =
                       x      −1 if x < 0

What	would	be	the	limit?
The	error-tolerance	game	fails, but

              lim f(x) = 1              lim f(x) = −1
             x→0+                      x→0−




                                                .   .   .   .   .   .
Example
           1
Find lim     if	it	exists.
    x→0+   x




                             .   .   .   .   .   .
The	error-tolerance	game
             y
             .




           .? .
           L




              .                            x
                                           .
                  0
                  .



                           .   .   .   .       .   .
The	error-tolerance	game
             y
             .




           .? .
           L




              .                            x
                                           .
                  0
                  .



                           .   .   .   .       .   .
The	error-tolerance	game
             y
             .




           .? .
           L




              .                            x
                                           .
                  0
                  .



                           .   .   .   .       .   .
The	error-tolerance	game
             y
             .


                      .
                      The graph escapes the
                      green, so no good


           .? .
           L




              .                                           x
                                                          .
                  0
                  .



                                       .      .   .   .       .   .
The	error-tolerance	game
             y
             .




           .? .
           L




              .                            x
                                           .
                  0
                  .



                           .   .   .   .       .   .
The	error-tolerance	game
             y
             .



                           E
                           . ven	worse!


           .? .
           L




              .                                           x
                                                          .
                  0
                  .



                                          .   .   .   .       .   .
The	error-tolerance	game
             y
             .

                      .
                      The limit does not exist
                      because the function is
                      unbounded near 0

           .? .
           L




              .                                          x
                                                         .
                  0
                  .



                                         .   .   .   .       .   .
Example
           1
Find lim     if	it	exists.
    x→0+   x
Solution
The	limit	does	not	exist	because	the	function	is	unbounded	near
0. Next	week	we	will	understand	the	statement	that
                                    1
                             lim      = +∞
                             x→0+   x




                                             .   .   .   .   .    .
Weird, wild	stuff



   Example        (π )
   Find lim sin          if	it	exists.
        x→0        x




                                         .   .   .   .   .   .
Weird, wild	stuff



   Example        (π )
   Find lim sin          if	it	exists.
        x→0        x

       f(x) = 0 when x =

       f(x) = 1 when x =

       f(x) = −1 when x =




                                         .   .   .   .   .   .
Weird, wild	stuff



   Example        (π )
   Find lim sin          if	it	exists.
        x→0        x
                                 1
       f(x) = 0 when x =           for	any	integer k
                                 k
       f(x) = 1 when x =

       f(x) = −1 when x =




                                                       .   .   .   .   .   .
Weird, wild	stuff



   Example        (π )
   Find lim sin          if	it	exists.
        x→0        x
                         1
       f(x) = 0 when x =   for	any	integer k
                         k
                             1
       f(x) = 1 when x =           for	any	integer k
                         2k + 1/2
       f(x) = −1 when x =




                                              .   .    .   .   .   .
Weird, wild	stuff



   Example        (π )
   Find lim sin          if	it	exists.
        x→0        x
                         1
       f(x) = 0 when x =   for	any	integer k
                         k
                             1
       f(x) = 1 when x =           for	any	integer k
                         2k + 1/2
                               1
       f(x) = −1 when x =            for	any	integer k
                           2k − 1/2




                                              .   .      .   .   .   .
Weird, wild	stuff	continued

   Here	is	a	graph	of	the	function:
                                   y
                                   .
                                 . .
                                 1


                                      .                     x
                                                            .


                               . 1.
                               −

   There	are	infinitely	many	points	arbitrarily	close	to	zero	where
   f(x) is 0, or 1, or −1. So	the	limit	cannot	exist.


                                               .    .   .       .   .   .
What	could	go	wrong?
Summary	of	Limit	Pathologies




    How	could	a	function	fail	to	have	a	limit? Some	possibilities:
          left-	and	right-	hand	limits	exist	but	are	not	equal
          The	function	is	unbounded	near a
          Oscillation	with	increasingly	high	frequency	near a




                                                   .    .    .   .   .   .
Meet	the	Mathematician: Augustin	Louis	Cauchy



     French, 1789–1857
     Royalist	and	Catholic
     made	contributions	in
     geometry, calculus,
     complex	analysis,
     number	theory
     created	the	definition	of
     limit	we	use	today	but
     didn’t	understand	it




                                 .   .   .   .   .   .
Precise	Definition	of	a	Limit
No, this	is	not	going	to	be	on	the	test




     Let f be	a	function	defined	on	an	some	open	interval	that
     contains	the	number a, except	possibly	at a itself. Then	we	say
     that	the limit	of f(x) as x approaches a is L, and	we	write

                                          lim f(x) = L,
                                          x→a

     if	for	every ε > 0 there	is	a	corresponding δ > 0 such	that

                       if 0 < |x − a| < δ , then |f(x) − L| < ε.




                                                          .   .    .   .   .   .
The	error-tolerance	game	= ε, δ




     L
     .




         .
                          a
                          .




                                  .   .   .   .   .   .
The	error-tolerance	game	= ε, δ




   L
   . +ε
     L
     .
   . −ε
   L




          .
                          a
                          .




                                  .   .   .   .   .   .
The	error-tolerance	game	= ε, δ




   L
   . +ε
     L
     .
   . −ε
   L




          .
                   . −δ
                   a      a
                          .   a
                              . +δ




                                     .   .   .   .   .   .
The	error-tolerance	game	= ε, δ



                          T
                          . his δ is	too	big
   L
   . +ε
     L
     .
   . −ε
   L




          .
                   . −δ
                   a       a
                           .    a
                                . +δ




                                           .   .   .   .   .   .
The	error-tolerance	game	= ε, δ




   L
   . +ε
     L
     .
   . −ε
   L




          .
                          a a
                     . −δ . . +δ
                     a




                                   .   .   .   .   .   .
The	error-tolerance	game	= ε, δ



                        T
                        . his δ looks	good
   L
   . +ε
     L
     .
   . −ε
   L




          .
                          a a
                     . −δ . . +δ
                     a




                                        .    .   .   .   .   .
The	error-tolerance	game	= ε, δ



                         S
                         . o	does	this δ
   L
   . +ε
     L
     .
   . −ε
   L




          .
                          aa
                     . −δ . . +δ
                     a




                                           .   .   .   .   .   .

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Lesson03 The Concept Of Limit 027 Slides

  • 1. Section 1.2–1.3 A Catalog of Essential Functions The Limit of a Function V63.0121.027, Calculus I September 10, 2009 Announcements Syllabus is on the common Blackboard Office Hours MTWR 3–4pm Read Sections 1.1–1.3 of the textbook this week. . . . . . .
  • 2. Outline Classes of Functions Linear functions Quadratic functions Cubic functions Other power functions Rational functions Trigonometric Functions Exponential and Logarithmic functions Transformations of Functions Compositions of Functions Limits Heuristics Errors and tolerances Examples Pathologies . . . . . .
  • 3. Classes of Functions linear functions, defined by slope an intercept, point and point, or point and slope. quadratic functions, cubic functions, power functions, polynomials rational functions trigonometric functions exponential/logarithmic functions . . . . . .
  • 4. Linear functions Linear functions have a constant rate of growth and are of the form f(x) = mx + b. . . . . . .
  • 5. Linear functions Linear functions have a constant rate of growth and are of the form f(x) = mx + b. Example In New York City taxis cost $2.50 to get in and $0.40 per 1/5 mile. Write the fare f(x) as a function of distance x traveled. . . . . . .
  • 6. Linear functions Linear functions have a constant rate of growth and are of the form f(x) = mx + b. Example In New York City taxis cost $2.50 to get in and $0.40 per 1/5 mile. Write the fare f(x) as a function of distance x traveled. Answer If x is in miles and f(x) in dollars, f(x) = 2.5 + 2x . . . . . .
  • 7. Quadratic functions These take the form f(x) = ax2 + bx + c . . . . . .
  • 8. Quadratic functions These take the form f(x) = ax2 + bx + c The graph is a parabola which opens upward if a > 0, downward if a < 0. . . . . . .
  • 9. Cubic functions These take the form f(x) = ax3 + bx2 + cx + d . . . . . .
  • 10. Other power functions Whole number powers: f(x) = xn . 1 negative powers are reciprocals: x−3 = 3 . x √ fractional powers are roots: x1/3 = 3 x. . . . . . .
  • 11. Rational functions Definition A rational function is a quotient of polynomials. Example x 3 (x + 3 ) The function f(x) = is rational. (x + 2)(x − 1) . . . . . .
  • 12. Trigonometric Functions Sine and cosine Tangent and cotangent Secant and cosecant . . . . . .
  • 13. Exponential and Logarithmic functions exponential functions (for example f(x) = 2x ) logarithmic functions are their inverses (for example f(x) = log2 (x)) . . . . . .
  • 14. Outline Classes of Functions Linear functions Quadratic functions Cubic functions Other power functions Rational functions Trigonometric Functions Exponential and Logarithmic functions Transformations of Functions Compositions of Functions Limits Heuristics Errors and tolerances Examples Pathologies . . . . . .
  • 15. Transformations of Functions Take the sine function and graph these transformations: ( π) sin x + ( 2 π) sin x − 2 π sin (x) + 2 π sin (x) − 2 . . . . . .
  • 16. Transformations of Functions Take the sine function and graph these transformations: ( π) sin x + ( 2 π) sin x − 2 π sin (x) + 2 π sin (x) − 2 Observe that if the fiddling occurs within the function, a transformation is applied on the x-axis. After the function, to the y-axis. . . . . . .
  • 17. Vertical and Horizontal Shifts Suppose c > 0. To obtain the graph of y = f(x) + c, shift the graph of y = f(x) a distance c units y = f(x) − c, shift the graph of y = f(x) a distance c units y = f(x − c), shift the graph of y = f(x) a distance c units y = f(x + c), shift the graph of y = f(x) a distance c units . . . . . .
  • 18. Vertical and Horizontal Shifts Suppose c > 0. To obtain the graph of y = f(x) + c, shift the graph of y = f(x) a distance c units upward y = f(x) − c, shift the graph of y = f(x) a distance c units y = f(x − c), shift the graph of y = f(x) a distance c units y = f(x + c), shift the graph of y = f(x) a distance c units . . . . . .
  • 19. Vertical and Horizontal Shifts Suppose c > 0. To obtain the graph of y = f(x) + c, shift the graph of y = f(x) a distance c units upward y = f(x) − c, shift the graph of y = f(x) a distance c units downward y = f(x − c), shift the graph of y = f(x) a distance c units y = f(x + c), shift the graph of y = f(x) a distance c units . . . . . .
  • 20. Vertical and Horizontal Shifts Suppose c > 0. To obtain the graph of y = f(x) + c, shift the graph of y = f(x) a distance c units upward y = f(x) − c, shift the graph of y = f(x) a distance c units downward y = f(x − c), shift the graph of y = f(x) a distance c units to the right y = f(x + c), shift the graph of y = f(x) a distance c units . . . . . .
  • 21. Vertical and Horizontal Shifts Suppose c > 0. To obtain the graph of y = f(x) + c, shift the graph of y = f(x) a distance c units upward y = f(x) − c, shift the graph of y = f(x) a distance c units downward y = f(x − c), shift the graph of y = f(x) a distance c units to the right y = f(x + c), shift the graph of y = f(x) a distance c units to the left . . . . . .
  • 22. Outline Classes of Functions Linear functions Quadratic functions Cubic functions Other power functions Rational functions Trigonometric Functions Exponential and Logarithmic functions Transformations of Functions Compositions of Functions Limits Heuristics Errors and tolerances Examples Pathologies . . . . . .
  • 23. Composition is a compounding of functions in succession g . ◦f . x . f . . g . . g ◦ f)(x) ( f .(x) . . . . . .
  • 24. Composing Example Let f(x) = x2 and g(x) = sin x. Compute f ◦ g and g ◦ f. . . . . . .
  • 25. Composing Example Let f(x) = x2 and g(x) = sin x. Compute f ◦ g and g ◦ f. Solution f ◦ g(x) = sin2 x while g ◦ f(x) = sin(x2 ). Note they are not the same. . . . . . .
  • 26. Decomposing Example √ Express x2 − 4 as a composition of two functions. What is its domain? Solution √ We can write the expression as f ◦ g, where f(u) = u and g(x) = x2 − 4. The range of g needs to be within the domain of f. To insure that x2 − 4 ≥ 0, we must have x ≤ −2 or x ≥ 2. . . . . . .
  • 27. The Far Side . . . . . .
  • 28. Outline Classes of Functions Linear functions Quadratic functions Cubic functions Other power functions Rational functions Trigonometric Functions Exponential and Logarithmic functions Transformations of Functions Compositions of Functions Limits Heuristics Errors and tolerances Examples Pathologies . . . . . .
  • 29. Limit . . . . . .
  • 30. Zeno’s Paradox That which is in locomotion must arrive at the half-way stage before it arrives at the goal. (Aristotle Physics VI:9, 239b10) . . . . . .
  • 31. Heuristic Definition of a Limit Definition We write lim f(x) = L x→a and say “the limit of f(x), as x approaches a, equals L” if we can make the values of f(x) arbitrarily close to L (as close to L as we like) by taking x to be sufficiently close to a (on either side of a) but not equal to a. . . . . . .
  • 32. The error-tolerance game A game between two players to decide if a limit lim f(x) exists. x→a Player 1: Choose L to be the limit. Player 2: Propose an “error” level around L. Player 1: Choose a “tolerance” level around a so that x-points within that tolerance level are taken to y-values within the error level. If Player 1 can always win, lim f(x) = L. x→a . . . . . .
  • 33. The error-tolerance game L . . a . . . . . . .
  • 34. The error-tolerance game L . . a . . . . . . .
  • 35. The error-tolerance game L . . a . To be legit, the part of the graph inside the blue (vertical) strip must also be inside the green (horizontal) strip. . . . . . .
  • 36. The error-tolerance game T . his tolerance is too big L . . a . To be legit, the part of the graph inside the blue (vertical) strip must also be inside the green (horizontal) strip. . . . . . .
  • 37. The error-tolerance game L . . a . To be legit, the part of the graph inside the blue (vertical) strip must also be inside the green (horizontal) strip. . . . . . .
  • 38. The error-tolerance game S . till too big L . . a . To be legit, the part of the graph inside the blue (vertical) strip must also be inside the green (horizontal) strip. . . . . . .
  • 39. The error-tolerance game L . . a . To be legit, the part of the graph inside the blue (vertical) strip must also be inside the green (horizontal) strip. . . . . . .
  • 40. The error-tolerance game T . his looks good L . . a . To be legit, the part of the graph inside the blue (vertical) strip must also be inside the green (horizontal) strip. . . . . . .
  • 41. The error-tolerance game S . o does this L . . a . To be legit, the part of the graph inside the blue (vertical) strip must also be inside the green (horizontal) strip. . . . . . .
  • 42. The error-tolerance game L . . a . To be legit, the part of the graph inside the blue (vertical) strip must also be inside the green (horizontal) strip. If Player 2 shrinks the error, Player 1 can still win. . . . . . .
  • 43. The error-tolerance game L . . a . To be legit, the part of the graph inside the blue (vertical) strip must also be inside the green (horizontal) strip. If Player 2 shrinks the error, Player 1 can still win. . . . . . .
  • 44. Example Find lim x2 if it exists. x→0 . . . . . .
  • 45. Example Find lim x2 if it exists. x→0 Solution I claim the limit is zero. . . . . . .
  • 46. Example Find lim x2 if it exists. x→0 Solution I claim the limit is zero. If the error level is 0.01, I need to guarantee that −0.01 < x2 < 0.01 for all x sufficiently close to zero. . . . . . .
  • 47. Example Find lim x2 if it exists. x→0 Solution I claim the limit is zero. If the error level is 0.01, I need to guarantee that −0.01 < x2 < 0.01 for all x sufficiently close to zero. If −0.1 < x < 0.1, then 0 ≤ x2 ≤ 0.01, so I win that round. . . . . . .
  • 48. Example Find lim x2 if it exists. x→0 Solution I claim the limit is zero. If the error level is 0.01, I need to guarantee that −0.01 < x2 < 0.01 for all x sufficiently close to zero. If −0.1 < x < 0.1, then 0 ≤ x2 ≤ 0.01, so I win that round. What should the tolerance be if the error is 0.0001? . . . . . .
  • 49. Example Find lim x2 if it exists. x→0 Solution I claim the limit is zero. If the error level is 0.01, I need to guarantee that −0.01 < x2 < 0.01 for all x sufficiently close to zero. If −0.1 < x < 0.1, then 0 ≤ x2 ≤ 0.01, so I win that round. What should the tolerance be if the error is 0.0001? By setting tolerance equal to the square root of the error, we can guarantee to be within any error. . . . . . .
  • 50. Example |x| Find lim if it exists. x→0 x . . . . . .
  • 51. Example |x| Find lim if it exists. x→0 x Solution The function can also be written as { |x| 1 if x > 0; = x −1 if x < 0 What would be the limit? . . . . . .
  • 52. The error-tolerance game y . . . 1 . x . . 1. − . . . . . .
  • 53. The error-tolerance game y . . . 1 . x . . 1. − . . . . . .
  • 54. The error-tolerance game y . . . 1 . x . . 1. − . . . . . .
  • 55. The error-tolerance game y . . . 1 . x . . 1. − . . . . . .
  • 56. The error-tolerance game y . . . 1 . x . . Part of graph in- . 1. − side blue is not inside green . . . . . .
  • 57. The error-tolerance game y . . . 1 . x . . 1. − . . . . . .
  • 58. The error-tolerance game y . . . 1 . x . . 1. − . . . . . .
  • 59. The error-tolerance game y . . Part of graph in- side blue is not . . 1 inside green . x . . 1. − . . . . . .
  • 60. The error-tolerance game y . . Part of graph in- side blue is not . . 1 inside green . x . . 1. − These are the only good choices; the limit does not exist. . . . . . .
  • 61. One-sided limits Definition We write lim f(x) = L x→a+ and say “the limit of f(x), as x approaches a from the right, equals L” if we can make the values of f(x) arbitrarily close to L (as close to L as we like) by taking x to be sufficiently close to a (on either side of a) and greater than a. . . . . . .
  • 62. One-sided limits Definition We write lim f(x) = L x→a− and say “the limit of f(x), as x approaches a from the left, equals L” if we can make the values of f(x) arbitrarily close to L (as close to L as we like) by taking x to be sufficiently close to a (on either side of a) and less than a. . . . . . .
  • 63. Example |x| Find lim if it exists. x→0 x Solution The function can also be written as { |x| 1 if x > 0; = x −1 if x < 0 What would be the limit? The error-tolerance game fails, but lim f(x) = 1 lim f(x) = −1 x→0+ x→0− . . . . . .
  • 64. Example 1 Find lim if it exists. x→0+ x . . . . . .
  • 65. The error-tolerance game y . .? . L . x . 0 . . . . . . .
  • 66. The error-tolerance game y . .? . L . x . 0 . . . . . . .
  • 67. The error-tolerance game y . .? . L . x . 0 . . . . . . .
  • 68. The error-tolerance game y . . The graph escapes the green, so no good .? . L . x . 0 . . . . . . .
  • 69. The error-tolerance game y . .? . L . x . 0 . . . . . . .
  • 70. The error-tolerance game y . E . ven worse! .? . L . x . 0 . . . . . . .
  • 71. The error-tolerance game y . . The limit does not exist because the function is unbounded near 0 .? . L . x . 0 . . . . . . .
  • 72. Example 1 Find lim if it exists. x→0+ x Solution The limit does not exist because the function is unbounded near 0. Next week we will understand the statement that 1 lim = +∞ x→0+ x . . . . . .
  • 73. Weird, wild stuff Example (π ) Find lim sin if it exists. x→0 x . . . . . .
  • 74. Weird, wild stuff Example (π ) Find lim sin if it exists. x→0 x f(x) = 0 when x = f(x) = 1 when x = f(x) = −1 when x = . . . . . .
  • 75. Weird, wild stuff Example (π ) Find lim sin if it exists. x→0 x 1 f(x) = 0 when x = for any integer k k f(x) = 1 when x = f(x) = −1 when x = . . . . . .
  • 76. Weird, wild stuff Example (π ) Find lim sin if it exists. x→0 x 1 f(x) = 0 when x = for any integer k k 1 f(x) = 1 when x = for any integer k 2k + 1/2 f(x) = −1 when x = . . . . . .
  • 77. Weird, wild stuff Example (π ) Find lim sin if it exists. x→0 x 1 f(x) = 0 when x = for any integer k k 1 f(x) = 1 when x = for any integer k 2k + 1/2 1 f(x) = −1 when x = for any integer k 2k − 1/2 . . . . . .
  • 78. Weird, wild stuff continued Here is a graph of the function: y . . . 1 . x . . 1. − There are infinitely many points arbitrarily close to zero where f(x) is 0, or 1, or −1. So the limit cannot exist. . . . . . .
  • 79. What could go wrong? Summary of Limit Pathologies How could a function fail to have a limit? Some possibilities: left- and right- hand limits exist but are not equal The function is unbounded near a Oscillation with increasingly high frequency near a . . . . . .
  • 80. Meet the Mathematician: Augustin Louis Cauchy French, 1789–1857 Royalist and Catholic made contributions in geometry, calculus, complex analysis, number theory created the definition of limit we use today but didn’t understand it . . . . . .
  • 81. Precise Definition of a Limit No, this is not going to be on the test Let f be a function defined on an some open interval that contains the number a, except possibly at a itself. Then we say that the limit of f(x) as x approaches a is L, and we write lim f(x) = L, x→a if for every ε > 0 there is a corresponding δ > 0 such that if 0 < |x − a| < δ , then |f(x) − L| < ε. . . . . . .
  • 82. The error-tolerance game = ε, δ L . . a . . . . . . .
  • 83. The error-tolerance game = ε, δ L . +ε L . . −ε L . a . . . . . . .
  • 84. The error-tolerance game = ε, δ L . +ε L . . −ε L . . −δ a a . a . +δ . . . . . .
  • 85. The error-tolerance game = ε, δ T . his δ is too big L . +ε L . . −ε L . . −δ a a . a . +δ . . . . . .
  • 86. The error-tolerance game = ε, δ L . +ε L . . −ε L . a a . −δ . . +δ a . . . . . .
  • 87. The error-tolerance game = ε, δ T . his δ looks good L . +ε L . . −ε L . a a . −δ . . +δ a . . . . . .
  • 88. The error-tolerance game = ε, δ S . o does this δ L . +ε L . . −ε L . aa . −δ . . +δ a . . . . . .