SlideShare une entreprise Scribd logo
1  sur  43
Télécharger pour lire hors ligne
Section 2.2
         The Derivative as a Function

                V63.0121.002.2010Su, Calculus I

                         New York University


                          May 24, 2010



Announcements

   Homework 1 due Tuesday
   Quiz 2 Thursday in class on Sections 1.5–2.5

                                               .   .   .   .   .   .
Announcements




           Homework 1 due Tuesday
           Quiz 2 Thursday in class
           on Sections 1.5–2.5




                                                                               .   .   .     .      .     .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010       2 / 28
Objectives



           Given a function f, use the
           definition of the derivative
           to find the derivative
           function f’.
           Given a function, find its
           second derivative.
           Given the graph of a
           function, sketch the graph
           of its derivative.




                                                                               .   .   .     .      .     .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010       3 / 28
Derivative
        .   .   .   .   .   .
Recall: the derivative

 Definition
 Let f be a function and a a point in the domain of f. If the limit

                                        f(a + h) − f(a)       f(x) − f(a)
                        f′ (a) = lim                    = lim
                                    h→0        h          x→a    x−a

 exists, the function is said to be differentiable at a and f′ (a) is the
 derivative of f at a.
 The derivative …
         …measures the slope of the line through (a, f(a)) tangent to the
         curve y = f(x);
         …represents the instantaneous rate of change of f at a
         …produces the best possible linear approximation to f near a.

                                                                               .   .   .     .      .     .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010       4 / 28
Derivative of the reciprocal function

 Example
                   1
 Suppose f(x) =      . Use the
                   x
 definition of the derivative to
 find f′ (2).




                                                                               .   .   .     .      .     .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010       6 / 28
Derivative of the reciprocal function

 Example
                   1
 Suppose f(x) =      . Use the
                   x
 definition of the derivative to                                                       x
                                                                                       .
 find f′ (2).

 Solution

                                                                                                    .
   ′         1/x − 1/2         2−x                                                 .
 f (2) = lim           = lim                                                                                      x
                                                                                                                  .
         x→2   x−2       x→2 2x(x − 2)
             −1      1
       = lim     =−
         x→2 2x      4


                                                                               .           .   .     .      .         .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function                   May 24, 2010           6 / 28
Outline



 What does f tell you about f′ ?


 How can a function fail to be differentiable?


 Other notations


 The second derivative




                                                                               .   .   .     .      .     .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010       7 / 28
What does f tell you about f′ ?



         If f is a function, we can compute the derivative f′ (x) at each point
         x where f is differentiable, and come up with another function, the
         derivative function.
         What can we say about this function f′ ?




                                                                               .   .   .     .      .     .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010       8 / 28
What does f tell you about f′ ?



         If f is a function, we can compute the derivative f′ (x) at each point
         x where f is differentiable, and come up with another function, the
         derivative function.
         What can we say about this function f′ ?
         If f is decreasing on an interval, f′ is negative (technically,
         nonpositive) on that interval




                                                                               .   .   .     .      .     .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010       8 / 28
Derivative of the reciprocal function

 Example
                   1
 Suppose f(x) =      . Use the
                   x
 definition of the derivative to                                                       x
                                                                                       .
 find f′ (2).

 Solution

                                                                                                    .
   ′         1/x − 1/2         2−x                                                 .
 f (2) = lim           = lim                                                                                      x
                                                                                                                  .
         x→2   x−2       x→2 2x(x − 2)
             −1      1
       = lim     =−
         x→2 2x      4


                                                                               .           .   .     .      .         .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function                   May 24, 2010           9 / 28
What does f tell you about f′ ?



         If f is a function, we can compute the derivative f′ (x) at each point
         x where f is differentiable, and come up with another function, the
         derivative function.
         What can we say about this function f′ ?
         If f is decreasing on an interval, f′ is negative (technically,
         nonpositive) on that interval
         If f is increasing on an interval, f′ is positive (technically,
         nonnegative) on that interval




                                                                               .   .   .      .      .    .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010   10 / 28
Graphically and numerically

             y
             .
                                                                                                   x2 − 22
                                                                                x           m=
                                                                                                    x−2
                                                                                3           5
         . .
         9                                    .
                                                                                2.5         4.5
                                                                                2.1         4.1
                                                                                2.01        4.01
    . .25 .
    6                                   .
                                                                                limit       4
    . .41 .
    4                              .                                            1.99        3.99
. .0401 .
4.9601 .
3 . .61
    3
        4
        .                       ..                                              1.9         3.9
                                                                                1.5         3.5
    . .25 .
    2                       .
                                                                                1           3
        . .
        1              .
          .            . . ... . .                  x
                                                    .
                      1 1 . .. .1 3
                      . . .5 .99 .5 .
                           12 .
                           2.9 2
                              2
                             .01
                                                                                    .   .      .      .      .     .

V63.0121.002.2010Su, Calculus I (NYU)       Section 2.2 The Derivative as a Function                May 24, 2010   11 / 28
What does f tell you about f′ ?
 Fact
 If f is decreasing on (a, b), then f′ ≤ 0 on (a, b).

 Proof.
 If f is decreasing on (a, b), and ∆x > 0, then

                                                             f(x + ∆x) − f(x)
                        f(x + ∆x) < f(x) =⇒                                   <0
                                                                   ∆x




                                                                               .   .   .      .      .    .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010   12 / 28
What does f tell you about f′ ?
 Fact
 If f is decreasing on (a, b), then f′ ≤ 0 on (a, b).

 Proof.
 If f is decreasing on (a, b), and ∆x > 0, then

                                                             f(x + ∆x) − f(x)
                        f(x + ∆x) < f(x) =⇒                                   <0
                                                                   ∆x
 But if ∆x < 0, then x + ∆x < x, and
                                                             f(x + ∆x) − f(x)
                        f(x + ∆x) > f(x) =⇒                                   <0
                                                                   ∆x
 still!


                                                                               .   .   .      .      .    .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010   12 / 28
What does f tell you about f′ ?
 Fact
 If f is decreasing on (a, b), then f′ ≤ 0 on (a, b).

 Proof.
 If f is decreasing on (a, b), and ∆x > 0, then

                                                             f(x + ∆x) − f(x)
                        f(x + ∆x) < f(x) =⇒                                   <0
                                                                   ∆x
 But if ∆x < 0, then x + ∆x < x, and
                                                             f(x + ∆x) − f(x)
                        f(x + ∆x) > f(x) =⇒                                   <0
                                                                   ∆x
 still! Either way,

           f(x + ∆x) − f(x)                     f(x + ∆x) − f(x)
                            < 0 =⇒ f′ (x) = lim                  ≤0
                 ∆x                        ∆x→0       ∆x                       .   .   .      .      .    .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010   12 / 28
Another important derivative fact




 Fact
 If the graph of f has a horizontal tangent line at c, then f′ (c) = 0.




                                                                               .   .   .      .      .    .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010   13 / 28
Another important derivative fact




 Fact
 If the graph of f has a horizontal tangent line at c, then f′ (c) = 0.

 Proof.
 The tangent line has slope f′ (c). If the tangent line is horizontal, its
 slope is zero.




                                                                               .   .   .      .      .    .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010   13 / 28
Outline



 What does f tell you about f′ ?


 How can a function fail to be differentiable?


 Other notations


 The second derivative




                                                                               .   .   .      .      .    .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010   14 / 28
Differentiability is super-continuity

 Theorem
 If f is differentiable at a, then f is continuous at a.




                                                                               .   .   .      .      .    .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010   15 / 28
Differentiability is super-continuity

 Theorem
 If f is differentiable at a, then f is continuous at a.

 Proof.
 We have
                                                       f(x) − f(a)
                       lim (f(x) − f(a)) = lim                     · (x − a)
                       x→a                        x→a      x−a
                                                       f(x) − f(a)
                                                = lim              · lim (x − a)
                                                  x→a      x−a       x→a
                                                   ′
                                                = f (a) · 0 = 0




                                                                               .   .   .      .      .    .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010   15 / 28
Differentiability is super-continuity

 Theorem
 If f is differentiable at a, then f is continuous at a.

 Proof.
 We have
                                                       f(x) − f(a)
                       lim (f(x) − f(a)) = lim                     · (x − a)
                       x→a                        x→a      x−a
                                                       f(x) − f(a)
                                                = lim              · lim (x − a)
                                                  x→a      x−a       x→a
                                                   ′
                                                = f (a) · 0 = 0



 Note the proper use of the limit law: if the factors each have a limit at
 a, the limit of the product is the product of the limits.
                                                                               .   .   .      .      .    .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010   15 / 28
Differentiability FAIL
Kinks




                         f
                         .(x)




                            .               x
                                            .




                                                                               .   .   .      .      .    .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010   16 / 28
Differentiability FAIL
Kinks




                         f
                         .(x)                                                          .′ (x)
                                                                                       f




                            .               x
                                            .                                             .                     x
                                                                                                                .




                                                                               .   .          .      .      .       .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function                  May 24, 2010      16 / 28
Differentiability FAIL
Kinks




                         f
                         .(x)                                                          .′ (x)
                                                                                       f


                                                                                          .

                            .               x
                                            .                                             .                     x
                                                                                                                .




                                                                               .   .          .      .      .       .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function                  May 24, 2010      16 / 28
Differentiability FAIL
Cusps




                         f
                         .(x)




                            .               x
                                            .




                                                                               .   .   .      .      .    .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010   17 / 28
Differentiability FAIL
Cusps




                         f
                         .(x)                                                          .′ (x)
                                                                                       f




                            .               x
                                            .                                             .                     x
                                                                                                                .




                                                                               .   .          .      .      .       .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function                  May 24, 2010      17 / 28
Differentiability FAIL
Cusps




                         f
                         .(x)                                                          .′ (x)
                                                                                       f




                            .               x
                                            .                                             .                     x
                                                                                                                .




                                                                               .   .          .      .      .       .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function                  May 24, 2010      17 / 28
Differentiability FAIL
Vertical Tangents




                         f
                         .(x)




                            .               x
                                            .




                                                                               .   .   .      .      .    .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010   18 / 28
Differentiability FAIL
Vertical Tangents




                         f
                         .(x)                                                          .′ (x)
                                                                                       f




                            .               x
                                            .                                             .                     x
                                                                                                                .




                                                                               .   .          .      .      .       .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function                  May 24, 2010      18 / 28
Differentiability FAIL
Vertical Tangents




                         f
                         .(x)                                                          .′ (x)
                                                                                       f




                            .               x
                                            .                                             .                     x
                                                                                                                .




                                                                               .   .          .      .      .       .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function                  May 24, 2010      18 / 28
Differentiability FAIL
Weird, Wild, Stuff


                         f
                         .(x)




                            .               x
                                            .




  This function is differentiable at
  0.


                                                                               .   .   .      .      .    .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010   19 / 28
Differentiability FAIL
Weird, Wild, Stuff


                         f
                         .(x)                                                          .′ (x)
                                                                                       f




                            .               x
                                            .                                             .                     x
                                                                                                                .




  This function is differentiable at                             But the derivative is not
  0.                                                             continuous at 0!


                                                                               .   .          .      .      .       .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function                  May 24, 2010      19 / 28
Outline



 What does f tell you about f′ ?


 How can a function fail to be differentiable?


 Other notations


 The second derivative




                                                                               .   .   .      .      .    .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010   20 / 28
Notation



         Newtonian notation

                                              f′ (x)          y′ (x)          y′

         Leibnizian notation
                                             dy           d                   df
                                                             f(x)
                                             dx           dx                  dx
 These all mean the same thing.




                                                                               .   .   .      .      .    .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010   21 / 28
Link between the notations



                                         f(x + ∆x) − f(x)       ∆y   dy
                     f′ (x) = lim                         = lim    =
                                 ∆x→0          ∆x          ∆x→0 ∆x   dx

                                        dy
         Leibniz thought of                as a quotient of “infinitesimals”
                                        dx
                     dy
         We think of     as representing a limit of (finite) difference
                     dx
         quotients, not as an actual fraction itself.
         The notation suggests things which are true even though they
         don’t follow from the notation per se



                                                                               .   .   .      .      .    .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010   22 / 28
Meet the Mathematician: Isaac Newton




          English, 1643–1727
          Professor at Cambridge
          (England)
          Philosophiae Naturalis
          Principia Mathematica
          published 1687




                                                                               .   .   .      .      .    .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010   23 / 28
Meet the Mathematician: Gottfried Leibniz




          German, 1646–1716
          Eminent philosopher as
          well as mathematician
          Contemporarily disgraced
          by the calculus priority
          dispute




                                                                               .   .   .      .      .    .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010   24 / 28
Outline



 What does f tell you about f′ ?


 How can a function fail to be differentiable?


 Other notations


 The second derivative




                                                                               .   .   .      .      .    .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010   25 / 28
The second derivative



 If f is a function, so is f′ , and we can seek its derivative.

                                                    f′′ = (f′ )′

 It measures the rate of change of the rate of change!




                                                                               .   .   .      .      .    .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010   26 / 28
The second derivative



 If f is a function, so is f′ , and we can seek its derivative.

                                                    f′′ = (f′ )′

 It measures the rate of change of the rate of change! Leibnizian
 notation:
                         d2 y    d2           d2 f
                                     f(x)
                         dx2    dx2           dx2




                                                                               .   .   .      .      .    .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010   26 / 28
function, derivative, second derivative

                                                  y
                                                  .
                                                                                       .(x) = x2
                                                                                       f




                                                                                       .′ (x) = 2x
                                                                                       f


                                                                                       .′′ (x) = 2
                                                                                       f
                                                   .                                     x
                                                                                         .




                                                                               .   .   .      .      .    .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010   27 / 28
Summary




         A function can be differentiated at every point to find its derivative
         function.
         The derivative of a function notices the monotonicity of the
         function (fincreasing =⇒ f′ ≥ 0)
         The second derivative of a function measures the rate of the
         change of the rate of change of that function.




                                                                               .   .   .      .      .    .

V63.0121.002.2010Su, Calculus I (NYU)   Section 2.2 The Derivative as a Function           May 24, 2010   28 / 28

Contenu connexe

Tendances

Bộ sách về phương trình hàm
Bộ sách về phương trình hàmBộ sách về phương trình hàm
Bộ sách về phương trình hàm
Thế Giới Tinh Hoa
 
program linier
program linierprogram linier
program linier
mfebri26
 
5.1 anti derivatives
5.1 anti derivatives5.1 anti derivatives
5.1 anti derivatives
math265
 

Tendances (20)

Standing Waves
Standing WavesStanding Waves
Standing Waves
 
Exponential functions
Exponential functionsExponential functions
Exponential functions
 
Lesson 25: Evaluating Definite Integrals (slides)
Lesson 25: Evaluating Definite Integrals (slides)Lesson 25: Evaluating Definite Integrals (slides)
Lesson 25: Evaluating Definite Integrals (slides)
 
functions limits and continuity
functions limits and continuityfunctions limits and continuity
functions limits and continuity
 
Bộ sách về phương trình hàm
Bộ sách về phương trình hàmBộ sách về phương trình hàm
Bộ sách về phương trình hàm
 
Applied Calculus: Continuity and Discontinuity of Function
Applied Calculus: Continuity and Discontinuity of FunctionApplied Calculus: Continuity and Discontinuity of Function
Applied Calculus: Continuity and Discontinuity of Function
 
Modul 5 residu kuadratis
Modul 5   residu kuadratisModul 5   residu kuadratis
Modul 5 residu kuadratis
 
program linier
program linierprogram linier
program linier
 
Limit and continuity (2)
Limit and continuity (2)Limit and continuity (2)
Limit and continuity (2)
 
Kalkulus modul vi kontinuitas
Kalkulus modul vi kontinuitasKalkulus modul vi kontinuitas
Kalkulus modul vi kontinuitas
 
4.1 the chain rule
4.1 the chain rule4.1 the chain rule
4.1 the chain rule
 
Met num 10
Met num 10Met num 10
Met num 10
 
Chapter 13 - Curve Sketching
Chapter 13 - Curve SketchingChapter 13 - Curve Sketching
Chapter 13 - Curve Sketching
 
Inverse function
Inverse functionInverse function
Inverse function
 
Lesson 21: Antiderivatives (slides)
Lesson 21: Antiderivatives (slides)Lesson 21: Antiderivatives (slides)
Lesson 21: Antiderivatives (slides)
 
Lesson 1 derivative of trigonometric functions
Lesson 1 derivative of trigonometric functionsLesson 1 derivative of trigonometric functions
Lesson 1 derivative of trigonometric functions
 
Parent Functions
Parent FunctionsParent Functions
Parent Functions
 
Pertemuan 2 limit dan kontinuitas
Pertemuan 2   limit dan kontinuitasPertemuan 2   limit dan kontinuitas
Pertemuan 2 limit dan kontinuitas
 
5.1 anti derivatives
5.1 anti derivatives5.1 anti derivatives
5.1 anti derivatives
 
Higher order derivatives
Higher order derivativesHigher order derivatives
Higher order derivatives
 

En vedette

Topic 1 intro to derivatives
Topic 1 intro to derivativesTopic 1 intro to derivatives
Topic 1 intro to derivatives
Ponnaganti
 
Lesson 9: The Product and Quotient Rules
Lesson 9: The Product and Quotient RulesLesson 9: The Product and Quotient Rules
Lesson 9: The Product and Quotient Rules
Matthew Leingang
 
Lesson 5: Limits Involving Infinity
Lesson 5: Limits Involving InfinityLesson 5: Limits Involving Infinity
Lesson 5: Limits Involving Infinity
Matthew Leingang
 
Lesson 8: Basic Differentiation Rules
Lesson 8: Basic Differentiation RulesLesson 8: Basic Differentiation Rules
Lesson 8: Basic Differentiation Rules
Matthew Leingang
 
Lesson 2: The Concept of Limit
Lesson 2: The Concept of LimitLesson 2: The Concept of Limit
Lesson 2: The Concept of Limit
Matthew Leingang
 
Lesson 21: Curve Sketching
Lesson 21: Curve SketchingLesson 21: Curve Sketching
Lesson 21: Curve Sketching
Matthew Leingang
 
Lesson22 -optimization_problems_slides
Lesson22  -optimization_problems_slidesLesson22  -optimization_problems_slides
Lesson22 -optimization_problems_slides
Matthew Leingang
 
Lesson 12: Linear Approximation
Lesson 12: Linear ApproximationLesson 12: Linear Approximation
Lesson 12: Linear Approximation
Matthew Leingang
 

En vedette (20)

Introduction
IntroductionIntroduction
Introduction
 
Lesson 22: Optimization Problems (slides)
Lesson 22: Optimization Problems (slides)Lesson 22: Optimization Problems (slides)
Lesson 22: Optimization Problems (slides)
 
Lesson 10: The Chain Rule
Lesson 10: The Chain RuleLesson 10: The Chain Rule
Lesson 10: The Chain Rule
 
Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)
 
Lesson 6: The Derivative
Lesson 6: The DerivativeLesson 6: The Derivative
Lesson 6: The Derivative
 
Topic 1 intro to derivatives
Topic 1 intro to derivativesTopic 1 intro to derivatives
Topic 1 intro to derivatives
 
Lesson 9: The Product and Quotient Rules
Lesson 9: The Product and Quotient RulesLesson 9: The Product and Quotient Rules
Lesson 9: The Product and Quotient Rules
 
Lesson 4: Continuity
Lesson 4: ContinuityLesson 4: Continuity
Lesson 4: Continuity
 
Lesson 5: Limits Involving Infinity
Lesson 5: Limits Involving InfinityLesson 5: Limits Involving Infinity
Lesson 5: Limits Involving Infinity
 
Lesson 8: Basic Differentiation Rules
Lesson 8: Basic Differentiation RulesLesson 8: Basic Differentiation Rules
Lesson 8: Basic Differentiation Rules
 
Lesson 2: The Concept of Limit
Lesson 2: The Concept of LimitLesson 2: The Concept of Limit
Lesson 2: The Concept of Limit
 
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)
 
Lesson 7: The Derivative (Section 21 slide)
Lesson 7: The Derivative (Section 21 slide)Lesson 7: The Derivative (Section 21 slide)
Lesson 7: The Derivative (Section 21 slide)
 
Lesson 21: Curve Sketching
Lesson 21: Curve SketchingLesson 21: Curve Sketching
Lesson 21: Curve Sketching
 
Lesson 1: Functions
Lesson 1: FunctionsLesson 1: Functions
Lesson 1: Functions
 
Lesson22 -optimization_problems_slides
Lesson22  -optimization_problems_slidesLesson22  -optimization_problems_slides
Lesson22 -optimization_problems_slides
 
Lesson 12: Linear Approximation
Lesson 12: Linear ApproximationLesson 12: Linear Approximation
Lesson 12: Linear Approximation
 
Lesson 3: Limit Laws
Lesson 3: Limit LawsLesson 3: Limit Laws
Lesson 3: Limit Laws
 
Lesson 21: Curve Sketching (slides)
Lesson 21: Curve Sketching (slides)Lesson 21: Curve Sketching (slides)
Lesson 21: Curve Sketching (slides)
 
Lesson 11: Implicit Differentiation
Lesson 11: Implicit DifferentiationLesson 11: Implicit Differentiation
Lesson 11: Implicit Differentiation
 

Similaire à Lesson 7: The Derivative as a Function

Lesson 8: Basic Differentiation Rules (Section 41 slides)
Lesson 8: Basic Differentiation Rules (Section 41 slides)Lesson 8: Basic Differentiation Rules (Section 41 slides)
Lesson 8: Basic Differentiation Rules (Section 41 slides)
Matthew Leingang
 
Lesson 8: Basic Differentiation Rules (Section 41 slides)
Lesson 8: Basic Differentiation Rules (Section 41 slides) Lesson 8: Basic Differentiation Rules (Section 41 slides)
Lesson 8: Basic Differentiation Rules (Section 41 slides)
Mel Anthony Pepito
 
Lesson 8: Basic Differentiation Rules (Section 21 slides)
Lesson 8: Basic Differentiation Rules (Section 21 slides)Lesson 8: Basic Differentiation Rules (Section 21 slides)
Lesson 8: Basic Differentiation Rules (Section 21 slides)
Matthew Leingang
 
Lesson 8: Basic Differentiation Rules (Section 21 slides)
Lesson 8: Basic Differentiation Rules (Section 21 slides) Lesson 8: Basic Differentiation Rules (Section 21 slides)
Lesson 8: Basic Differentiation Rules (Section 21 slides)
Mel Anthony Pepito
 
Lesson 9: The Derivative as a function
Lesson 9: The Derivative as a functionLesson 9: The Derivative as a function
Lesson 9: The Derivative as a function
Matthew Leingang
 
Lesson 25: The Definite Integral
Lesson 25: The Definite IntegralLesson 25: The Definite Integral
Lesson 25: The Definite Integral
Mel Anthony Pepito
 
Lesson 25: The Definite Integral
Lesson 25: The Definite IntegralLesson 25: The Definite Integral
Lesson 25: The Definite Integral
Matthew Leingang
 
Lesson 18: Derivatives and the Shapes of Curves
Lesson 18: Derivatives and the Shapes of CurvesLesson 18: Derivatives and the Shapes of Curves
Lesson 18: Derivatives and the Shapes of Curves
Matthew Leingang
 
Lesson20 -derivatives_and_the_shape_of_curves_021_slides
Lesson20  -derivatives_and_the_shape_of_curves_021_slidesLesson20  -derivatives_and_the_shape_of_curves_021_slides
Lesson20 -derivatives_and_the_shape_of_curves_021_slides
Matthew Leingang
 
Lesson 19: Curve Sketching
Lesson 19: Curve SketchingLesson 19: Curve Sketching
Lesson 19: Curve Sketching
Matthew Leingang
 
Lesson 27: The Fundamental Theorem of Calculus
Lesson 27: The Fundamental Theorem of CalculusLesson 27: The Fundamental Theorem of Calculus
Lesson 27: The Fundamental Theorem of Calculus
Matthew Leingang
 
Lesson 27: The Fundamental Theorem of Calculus
Lesson 27: The Fundamental Theorem of Calculus Lesson 27: The Fundamental Theorem of Calculus
Lesson 27: The Fundamental Theorem of Calculus
Mel Anthony Pepito
 

Similaire à Lesson 7: The Derivative as a Function (20)

Lesson 8: Basic Differentiation Rules (Section 41 slides)
Lesson 8: Basic Differentiation Rules (Section 41 slides)Lesson 8: Basic Differentiation Rules (Section 41 slides)
Lesson 8: Basic Differentiation Rules (Section 41 slides)
 
Lesson 8: Basic Differentiation Rules (Section 41 slides)
Lesson 8: Basic Differentiation Rules (Section 41 slides) Lesson 8: Basic Differentiation Rules (Section 41 slides)
Lesson 8: Basic Differentiation Rules (Section 41 slides)
 
Lesson 8: Basic Differentiation Rules (Section 21 slides)
Lesson 8: Basic Differentiation Rules (Section 21 slides)Lesson 8: Basic Differentiation Rules (Section 21 slides)
Lesson 8: Basic Differentiation Rules (Section 21 slides)
 
Lesson 8: Basic Differentiation Rules (Section 21 slides)
Lesson 8: Basic Differentiation Rules (Section 21 slides) Lesson 8: Basic Differentiation Rules (Section 21 slides)
Lesson 8: Basic Differentiation Rules (Section 21 slides)
 
Lesson 9: The Derivative as a function
Lesson 9: The Derivative as a functionLesson 9: The Derivative as a function
Lesson 9: The Derivative as a function
 
Lesson 25: The Definite Integral
Lesson 25: The Definite IntegralLesson 25: The Definite Integral
Lesson 25: The Definite Integral
 
Lesson 25: The Definite Integral
Lesson 25: The Definite IntegralLesson 25: The Definite Integral
Lesson 25: The Definite Integral
 
Lesson 10: The Chain Rule
Lesson 10: The Chain RuleLesson 10: The Chain Rule
Lesson 10: The Chain Rule
 
Lesson 18: Derivatives and the Shapes of Curves
Lesson 18: Derivatives and the Shapes of CurvesLesson 18: Derivatives and the Shapes of Curves
Lesson 18: Derivatives and the Shapes of Curves
 
Lesson 1: Functions
Lesson 1: FunctionsLesson 1: Functions
Lesson 1: Functions
 
Lesson 1: Functions
Lesson 1: FunctionsLesson 1: Functions
Lesson 1: Functions
 
Lesson 21: Curve Sketching
Lesson 21: Curve SketchingLesson 21: Curve Sketching
Lesson 21: Curve Sketching
 
Lesson20 -derivatives_and_the_shape_of_curves_021_slides
Lesson20  -derivatives_and_the_shape_of_curves_021_slidesLesson20  -derivatives_and_the_shape_of_curves_021_slides
Lesson20 -derivatives_and_the_shape_of_curves_021_slides
 
Lesson 19: Curve Sketching
Lesson 19: Curve SketchingLesson 19: Curve Sketching
Lesson 19: Curve Sketching
 
Lesson 20: Derivatives and the Shape of Curves (Section 041 slides)
Lesson 20: Derivatives and the Shape of Curves (Section 041 slides)Lesson 20: Derivatives and the Shape of Curves (Section 041 slides)
Lesson 20: Derivatives and the Shape of Curves (Section 041 slides)
 
Lesson 21: Curve Sketching (Section 041 slides)
Lesson 21: Curve Sketching (Section 041 slides)Lesson 21: Curve Sketching (Section 041 slides)
Lesson 21: Curve Sketching (Section 041 slides)
 
Lesson 27: The Fundamental Theorem of Calculus
Lesson 27: The Fundamental Theorem of CalculusLesson 27: The Fundamental Theorem of Calculus
Lesson 27: The Fundamental Theorem of Calculus
 
Lesson 27: The Fundamental Theorem of Calculus
Lesson 27: The Fundamental Theorem of Calculus Lesson 27: The Fundamental Theorem of Calculus
Lesson 27: The Fundamental Theorem of Calculus
 
Lesson 6: The derivative as a function
Lesson 6: The derivative as a functionLesson 6: The derivative as a function
Lesson 6: The derivative as a function
 
Lesson 23: Antiderivatives (Section 021 slides)
Lesson 23: Antiderivatives (Section 021 slides)Lesson 23: Antiderivatives (Section 021 slides)
Lesson 23: Antiderivatives (Section 021 slides)
 

Plus de Matthew Leingang

Plus de Matthew Leingang (20)

Making Lesson Plans
Making Lesson PlansMaking Lesson Plans
Making Lesson Plans
 
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
 
Electronic Grading of Paper Assessments
Electronic Grading of Paper AssessmentsElectronic Grading of Paper Assessments
Electronic Grading of Paper Assessments
 
Lesson 27: Integration by Substitution (slides)
Lesson 27: Integration by Substitution (slides)Lesson 27: Integration by Substitution (slides)
Lesson 27: Integration by Substitution (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)
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)
Lesson 26: The Fundamental Theorem of Calculus (slides)
 
Lesson 27: Integration by Substitution (handout)
Lesson 27: Integration by Substitution (handout)Lesson 27: Integration by Substitution (handout)
Lesson 27: Integration by Substitution (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)
Lesson 26: The Fundamental Theorem of Calculus (handout)
 
Lesson 25: Evaluating Definite Integrals (handout)
Lesson 25: Evaluating Definite Integrals (handout)Lesson 25: Evaluating Definite Integrals (handout)
Lesson 25: Evaluating Definite Integrals (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)
Lesson 24: Areas and Distances, The Definite Integral (handout)
 
Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)
 
Lesson 22: Optimization Problems (handout)
Lesson 22: Optimization Problems (handout)Lesson 22: Optimization Problems (handout)
Lesson 22: Optimization Problems (handout)
 
Lesson 21: Curve Sketching (handout)
Lesson 21: Curve Sketching (handout)Lesson 21: Curve Sketching (handout)
Lesson 21: Curve Sketching (handout)
 
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)
 
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)
 
Lesson 19: The Mean Value Theorem (slides)
Lesson 19: The Mean Value Theorem (slides)Lesson 19: The Mean Value Theorem (slides)
Lesson 19: The Mean Value Theorem (slides)
 
Lesson 18: Maximum and Minimum Values (slides)
Lesson 18: Maximum and Minimum Values (slides)Lesson 18: Maximum and Minimum Values (slides)
Lesson 18: Maximum and Minimum Values (slides)
 
Lesson 17: Indeterminate forms and l'Hôpital's Rule (slides)
Lesson 17: Indeterminate forms and l'Hôpital's Rule (slides)Lesson 17: Indeterminate forms and l'Hôpital's Rule (slides)
Lesson 17: Indeterminate forms and l'Hôpital's Rule (slides)
 
Lesson 18: Maximum and Minimum Values (handout)
Lesson 18: Maximum and Minimum Values (handout)Lesson 18: Maximum and Minimum Values (handout)
Lesson 18: Maximum and Minimum Values (handout)
 
Lesson 17: Indeterminate forms and l'Hôpital's Rule (handout)
Lesson 17: Indeterminate forms and l'Hôpital's Rule (handout)Lesson 17: Indeterminate forms and l'Hôpital's Rule (handout)
Lesson 17: Indeterminate forms and l'Hôpital's Rule (handout)
 

Lesson 7: The Derivative as a Function

  • 1. Section 2.2 The Derivative as a Function V63.0121.002.2010Su, Calculus I New York University May 24, 2010 Announcements Homework 1 due Tuesday Quiz 2 Thursday in class on Sections 1.5–2.5 . . . . . .
  • 2. Announcements Homework 1 due Tuesday Quiz 2 Thursday in class on Sections 1.5–2.5 . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 2 / 28
  • 3. Objectives Given a function f, use the definition of the derivative to find the derivative function f’. Given a function, find its second derivative. Given the graph of a function, sketch the graph of its derivative. . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 3 / 28
  • 4. Derivative . . . . . .
  • 5. Recall: the derivative Definition Let f be a function and a a point in the domain of f. If the limit f(a + h) − f(a) f(x) − f(a) f′ (a) = lim = lim h→0 h x→a x−a exists, the function is said to be differentiable at a and f′ (a) is the derivative of f at a. The derivative … …measures the slope of the line through (a, f(a)) tangent to the curve y = f(x); …represents the instantaneous rate of change of f at a …produces the best possible linear approximation to f near a. . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 4 / 28
  • 6. Derivative of the reciprocal function Example 1 Suppose f(x) = . Use the x definition of the derivative to find f′ (2). . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 6 / 28
  • 7. Derivative of the reciprocal function Example 1 Suppose f(x) = . Use the x definition of the derivative to x . find f′ (2). Solution . ′ 1/x − 1/2 2−x . f (2) = lim = lim x . x→2 x−2 x→2 2x(x − 2) −1 1 = lim =− x→2 2x 4 . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 6 / 28
  • 8. Outline What does f tell you about f′ ? How can a function fail to be differentiable? Other notations The second derivative . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 7 / 28
  • 9. What does f tell you about f′ ? If f is a function, we can compute the derivative f′ (x) at each point x where f is differentiable, and come up with another function, the derivative function. What can we say about this function f′ ? . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 8 / 28
  • 10. What does f tell you about f′ ? If f is a function, we can compute the derivative f′ (x) at each point x where f is differentiable, and come up with another function, the derivative function. What can we say about this function f′ ? If f is decreasing on an interval, f′ is negative (technically, nonpositive) on that interval . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 8 / 28
  • 11. Derivative of the reciprocal function Example 1 Suppose f(x) = . Use the x definition of the derivative to x . find f′ (2). Solution . ′ 1/x − 1/2 2−x . f (2) = lim = lim x . x→2 x−2 x→2 2x(x − 2) −1 1 = lim =− x→2 2x 4 . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 9 / 28
  • 12. What does f tell you about f′ ? If f is a function, we can compute the derivative f′ (x) at each point x where f is differentiable, and come up with another function, the derivative function. What can we say about this function f′ ? If f is decreasing on an interval, f′ is negative (technically, nonpositive) on that interval If f is increasing on an interval, f′ is positive (technically, nonnegative) on that interval . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 10 / 28
  • 13. Graphically and numerically y . x2 − 22 x m= x−2 3 5 . . 9 . 2.5 4.5 2.1 4.1 2.01 4.01 . .25 . 6 . limit 4 . .41 . 4 . 1.99 3.99 . .0401 . 4.9601 . 3 . .61 3 4 . .. 1.9 3.9 1.5 3.5 . .25 . 2 . 1 3 . . 1 . . . . ... . . x . 1 1 . .. .1 3 . . .5 .99 .5 . 12 . 2.9 2 2 .01 . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 11 / 28
  • 14. What does f tell you about f′ ? Fact If f is decreasing on (a, b), then f′ ≤ 0 on (a, b). Proof. If f is decreasing on (a, b), and ∆x > 0, then f(x + ∆x) − f(x) f(x + ∆x) < f(x) =⇒ <0 ∆x . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 12 / 28
  • 15. What does f tell you about f′ ? Fact If f is decreasing on (a, b), then f′ ≤ 0 on (a, b). Proof. If f is decreasing on (a, b), and ∆x > 0, then f(x + ∆x) − f(x) f(x + ∆x) < f(x) =⇒ <0 ∆x But if ∆x < 0, then x + ∆x < x, and f(x + ∆x) − f(x) f(x + ∆x) > f(x) =⇒ <0 ∆x still! . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 12 / 28
  • 16. What does f tell you about f′ ? Fact If f is decreasing on (a, b), then f′ ≤ 0 on (a, b). Proof. If f is decreasing on (a, b), and ∆x > 0, then f(x + ∆x) − f(x) f(x + ∆x) < f(x) =⇒ <0 ∆x But if ∆x < 0, then x + ∆x < x, and f(x + ∆x) − f(x) f(x + ∆x) > f(x) =⇒ <0 ∆x still! Either way, f(x + ∆x) − f(x) f(x + ∆x) − f(x) < 0 =⇒ f′ (x) = lim ≤0 ∆x ∆x→0 ∆x . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 12 / 28
  • 17. Another important derivative fact Fact If the graph of f has a horizontal tangent line at c, then f′ (c) = 0. . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 13 / 28
  • 18. Another important derivative fact Fact If the graph of f has a horizontal tangent line at c, then f′ (c) = 0. Proof. The tangent line has slope f′ (c). If the tangent line is horizontal, its slope is zero. . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 13 / 28
  • 19. Outline What does f tell you about f′ ? How can a function fail to be differentiable? Other notations The second derivative . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 14 / 28
  • 20. Differentiability is super-continuity Theorem If f is differentiable at a, then f is continuous at a. . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 15 / 28
  • 21. Differentiability is super-continuity Theorem If f is differentiable at a, then f is continuous at a. Proof. We have f(x) − f(a) lim (f(x) − f(a)) = lim · (x − a) x→a x→a x−a f(x) − f(a) = lim · lim (x − a) x→a x−a x→a ′ = f (a) · 0 = 0 . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 15 / 28
  • 22. Differentiability is super-continuity Theorem If f is differentiable at a, then f is continuous at a. Proof. We have f(x) − f(a) lim (f(x) − f(a)) = lim · (x − a) x→a x→a x−a f(x) − f(a) = lim · lim (x − a) x→a x−a x→a ′ = f (a) · 0 = 0 Note the proper use of the limit law: if the factors each have a limit at a, the limit of the product is the product of the limits. . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 15 / 28
  • 23. Differentiability FAIL Kinks f .(x) . x . . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 16 / 28
  • 24. Differentiability FAIL Kinks f .(x) .′ (x) f . x . . x . . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 16 / 28
  • 25. Differentiability FAIL Kinks f .(x) .′ (x) f . . x . . x . . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 16 / 28
  • 26. Differentiability FAIL Cusps f .(x) . x . . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 17 / 28
  • 27. Differentiability FAIL Cusps f .(x) .′ (x) f . x . . x . . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 17 / 28
  • 28. Differentiability FAIL Cusps f .(x) .′ (x) f . x . . x . . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 17 / 28
  • 29. Differentiability FAIL Vertical Tangents f .(x) . x . . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 18 / 28
  • 30. Differentiability FAIL Vertical Tangents f .(x) .′ (x) f . x . . x . . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 18 / 28
  • 31. Differentiability FAIL Vertical Tangents f .(x) .′ (x) f . x . . x . . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 18 / 28
  • 32. Differentiability FAIL Weird, Wild, Stuff f .(x) . x . This function is differentiable at 0. . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 19 / 28
  • 33. Differentiability FAIL Weird, Wild, Stuff f .(x) .′ (x) f . x . . x . This function is differentiable at But the derivative is not 0. continuous at 0! . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 19 / 28
  • 34. Outline What does f tell you about f′ ? How can a function fail to be differentiable? Other notations The second derivative . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 20 / 28
  • 35. Notation Newtonian notation f′ (x) y′ (x) y′ Leibnizian notation dy d df f(x) dx dx dx These all mean the same thing. . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 21 / 28
  • 36. Link between the notations f(x + ∆x) − f(x) ∆y dy f′ (x) = lim = lim = ∆x→0 ∆x ∆x→0 ∆x dx dy Leibniz thought of as a quotient of “infinitesimals” dx dy We think of as representing a limit of (finite) difference dx quotients, not as an actual fraction itself. The notation suggests things which are true even though they don’t follow from the notation per se . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 22 / 28
  • 37. Meet the Mathematician: Isaac Newton English, 1643–1727 Professor at Cambridge (England) Philosophiae Naturalis Principia Mathematica published 1687 . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 23 / 28
  • 38. Meet the Mathematician: Gottfried Leibniz German, 1646–1716 Eminent philosopher as well as mathematician Contemporarily disgraced by the calculus priority dispute . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 24 / 28
  • 39. Outline What does f tell you about f′ ? How can a function fail to be differentiable? Other notations The second derivative . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 25 / 28
  • 40. The second derivative If f is a function, so is f′ , and we can seek its derivative. f′′ = (f′ )′ It measures the rate of change of the rate of change! . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 26 / 28
  • 41. The second derivative If f is a function, so is f′ , and we can seek its derivative. f′′ = (f′ )′ It measures the rate of change of the rate of change! Leibnizian notation: d2 y d2 d2 f f(x) dx2 dx2 dx2 . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 26 / 28
  • 42. function, derivative, second derivative y . .(x) = x2 f .′ (x) = 2x f .′′ (x) = 2 f . x . . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 27 / 28
  • 43. Summary A function can be differentiated at every point to find its derivative function. The derivative of a function notices the monotonicity of the function (fincreasing =⇒ f′ ≥ 0) The second derivative of a function measures the rate of the change of the rate of change of that function. . . . . . . V63.0121.002.2010Su, Calculus I (NYU) Section 2.2 The Derivative as a Function May 24, 2010 28 / 28