SlideShare une entreprise Scribd logo
1  sur  9
Télécharger pour lire hors ligne
.        V63.0121.001, Calculus I
         .                              Sec on 2.2 : Essen al Func ons
                                                                .        January 26, 2011
              Professor Ma hew Leingang
     .
                    Sec on 2.2                              Notes
         A Catalogue of Essen al Func ons
                           V63.0121.001, Calculus I
                         Professor Ma hew Leingang

                              New York University
     Announcements
          First WebAssign-ments are due January 31
          First wri en assignment is due February 2
          Do the Get-to-Know-You survey for extra credit!
.                                                           .




    Announcements                                           Notes

           First WebAssign-ments
           are due January 31
           First wri en assignment
           is due February 2
           Do the Get-to-Know-You
           survey for extra credit!



.                                                           .




    Objectives                                              Notes
         Iden fy different classes of algebraic
         func ons, including polynomial (linear,
         quadra c, cubic, etc.),
         polynomialra onal, power,
         trigonometric, and exponen al
         func ons.
         Understand the effect of algebraic
         transforma ons on the graph of a
         func on.
         Understand and compute the
         composi on of two func ons.
.                                                           .

                                                                                     . 1
.
.       V63.0121.001, Calculus I
        .                              Sec on 2.2 : Essen al Func ons
                                                               .                     January 26, 2011
             Professor Ma hew Leingang

    What is a function?                                                      Notes

     Defini on
     A func on f is a rela on which assigns to to every element x in a set
     D a single element f(x) in a set E.
          The set D is called the domain of f.
          The set E is called the target of f.
          The set { y | y = f(x) for some x } is called the range of f.



.                                                                            .




    Classes of Functions                                                     Notes

         linear func ons, defined by slope an intercept, point and point,
         or point and slope.
         quadra c func ons, cubic func ons, power func ons,
         polynomials
         ra onal func ons
         trigonometric func ons
         exponen al/logarithmic func ons


.                                                                            .




    Outline                                                                  Notes
     Algebraic Func ons
        Linear func ons
        Other Polynomial func ons
        Other power func ons
        General Ra onal func ons
     Transcendental Func ons
        Trigonometric Func ons
        Exponen al and Logarithmic func ons
     Transforma ons of Func ons
     Composi ons of Func ons
.                                                                            .

                                                                                                 . 2
.
.       V63.0121.001, Calculus I
        .                              Sec on 2.2 : Essen al Func ons
                                                               .                      January 26, 2011
             Professor Ma hew Leingang

    Linear functions                                                          Notes
     Linear func ons 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 func on of distance x traveled.

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

                                   f(x) = 2.5 + 2x
.                                                                             .




                                                                              Notes
     Example
     Biologists have no ced that the chirping rate of crickets of a certain
     species is related to temperature, and the rela onship appears to be
     very nearly linear. A cricket produces 113 chirps per minute at 70 ◦ F
     and 173 chirps per minute at 80 ◦ F.
     (a) Write a linear equa on that models the temperature T as a
         func on of the number of chirps per minute N.
     (b) If the crickets are chirping at 150 chirps per minute, es mate the
         temperature.



.                                                                             .




    Solution                                                                  Notes
     Solu on




.                                                                             .

                                                                                                  . 3
.
.      V63.0121.001, Calculus I
       .                              Sec on 2.2 : Essen al Func ons
                                                              .         January 26, 2011
            Professor Ma hew Leingang

    Other Polynomial functions                                  Notes

         Quadra c func ons take the form

                                f(x) = ax2 + bx + c

         The graph is a parabola which opens upward if a > 0,
         downward if a < 0.
         Cubic func ons take the form

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


.                                                               .




    Other power functions                                       Notes


         Whole number powers: f(x) = xn .
                                                 1
         nega ve powers are reciprocals: x−3 = 3 .
                                           √ x
         frac onal powers are roots: x1/3 = 3 x.




.                                                               .




    General Rational functions                                  Notes

     Defini on
     A ra onal func on is a quo ent of polynomials.

     Example
                             x3 (x + 3)
     The func on f(x) =                  is ra onal.
                          (x + 2)(x − 1)



.                                                               .

                                                                                    . 4
.
.      V63.0121.001, Calculus I
       .                              Sec on 2.2 : Essen al Func ons
                                                              .        January 26, 2011
            Professor Ma hew Leingang

    Outline                                          Notes
     Algebraic Func ons
        Linear func ons
        Other Polynomial func ons
        Other power func ons
        General Ra onal func ons
     Transcendental Func ons
        Trigonometric Func ons
        Exponen al and Logarithmic func ons
     Transforma ons of Func ons
     Composi ons of Func ons
.                                                    .




    Trigonometric Functions                          Notes



         Sine and cosine
         Tangent and cotangent
         Secant and cosecant




.                                                    .




    Trigonometric functions graphed                  Notes



     GeoGebra applets




.                                                    .

                                                                                   . 5
.
.      V63.0121.001, Calculus I
       .                              Sec on 2.2 : Essen al Func ons
                                                              .         January 26, 2011
            Professor Ma hew Leingang

    Exponential and Logarithmic                                 Notes
    functions

         exponen al func ons (for example f(x) = 2x )
         logarithmic func ons are their inverses (for example
         f(x) = log2 (x))




.                                                               .




    Graphs of exp and log                                       Notes



     GeoGebra applets




.                                                               .




    Outline                                                     Notes
     Algebraic Func ons
        Linear func ons
        Other Polynomial func ons
        Other power func ons
        General Ra onal func ons
     Transcendental Func ons
        Trigonometric Func ons
        Exponen al and Logarithmic func ons
     Transforma ons of Func ons
     Composi ons of Func ons
.                                                               .

                                                                                    . 6
.
.       V63.0121.001, Calculus I
        .                              Sec on 2.2 : Essen al Func ons
                                                               .                     January 26, 2011
             Professor Ma hew Leingang

    Transformations of Functions                                             Notes
     Take the squaring func on and graph these transforma ons:
          y = (x + 1)2
          y = (x − 1)2
          y = x2 + 1
          y = x2 − 1
     Observe that if the fiddling occurs within the func on, a
     transforma on is applied on the x-axis. A er the func on, to the
     y-axis.

.                                                                            .




    Vertical and Horizontal Shifts                                           Notes
     Suppose c > 0. To obtain the graph of
         y = f(x) + c, shi the graph of y = f(x) a distance c units . . .

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

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

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


.                                                                            .




    Now try these                                                            Notes


          y = sin (2x)
          y = 2 sin (x)
          y = e−x
          y = −ex




.                                                                            .

                                                                                                 . 7
.
.       V63.0121.001, Calculus I
        .                              Sec on 2.2 : Essen al Func ons
                                                               .         January 26, 2011
             Professor Ma hew Leingang

    Scaling and flipping                                          Notes


     To obtain the graph of
          y = f(c · x), scale the graph of f horizontally by c
          y = c · f(x), scale the graph of f ver cally by c
          If |c| < 1, the scaling is a compression
          If c < 0, the scaling includes a flip




.                                                                .




    Outline                                                      Notes
     Algebraic Func ons
        Linear func ons
        Other Polynomial func ons
        Other power func ons
        General Ra onal func ons
     Transcendental Func ons
        Trigonometric Func ons
        Exponen al and Logarithmic func ons
     Transforma ons of Func ons
     Composi ons of Func ons
.                                                                .




    Composition is a compounding of                              Notes
    functions in succession

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




.                                                                .

                                                                                     . 8
.
.       V63.0121.001, Calculus I
        .                              Sec on 2.2 : Essen al Func ons
                                                               .                        January 26, 2011
             Professor Ma hew Leingang

    Composing                                                                   Notes


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

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




.                                                                               .




    Decomposing                                                                 Notes

     Example
            √
     Express x2 − 4 as a composi on of two func ons. What is its
     domain?

     Solu on




.                                                                               .




    Summary                                                                     Notes



          There are many classes of algebraic func ons
          Algebraic rules can be used to sketch graphs




.                                                                               .

                                                                                                    . 9
.

Contenu connexe

Tendances

Lesson 16: Inverse Trigonometric Functions (handout)
Lesson 16: Inverse Trigonometric Functions (handout)Lesson 16: Inverse Trigonometric Functions (handout)
Lesson 16: Inverse Trigonometric Functions (handout)Matthew Leingang
 
Lesson 13: Exponential and Logarithmic Functions (Section 041 handout)
Lesson 13: Exponential and Logarithmic Functions (Section 041 handout)Lesson 13: Exponential and Logarithmic Functions (Section 041 handout)
Lesson 13: Exponential and Logarithmic Functions (Section 041 handout)Matthew Leingang
 
Lesson 13: Exponential and Logarithmic Functions (Section 021 handout)
Lesson 13: Exponential and Logarithmic Functions (Section 021 handout)Lesson 13: Exponential and Logarithmic Functions (Section 021 handout)
Lesson 13: Exponential and Logarithmic Functions (Section 021 handout)Matthew Leingang
 
Lesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential FunctionsLesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential FunctionsMatthew Leingang
 
Lesson 12: Linear Approximation and Differentials (Section 41 slides)
Lesson 12: Linear Approximation and Differentials (Section 41 slides)Lesson 12: Linear Approximation and Differentials (Section 41 slides)
Lesson 12: Linear Approximation and Differentials (Section 41 slides)Matthew Leingang
 
Lesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential FunctionsLesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential FunctionsMatthew Leingang
 
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)Matthew Leingang
 
Lesson 25: Evaluating Definite Integrals (handout)
Lesson 25: Evaluating Definite Integrals (handout)Lesson 25: Evaluating Definite Integrals (handout)
Lesson 25: Evaluating Definite Integrals (handout)Matthew Leingang
 
Lesson 12: Linear Approximation
Lesson 12: Linear ApproximationLesson 12: Linear Approximation
Lesson 12: Linear ApproximationMatthew Leingang
 
Lesson 14: Derivatives of Logarithmic and Exponential Functions
Lesson 14: Derivatives of Logarithmic and Exponential FunctionsLesson 14: Derivatives of Logarithmic and Exponential Functions
Lesson 14: Derivatives of Logarithmic and Exponential FunctionsMatthew Leingang
 
Lesson 13: Exponential and Logarithmic Functions (Section 041 slides)
Lesson 13: Exponential and Logarithmic Functions (Section 041 slides)Lesson 13: Exponential and Logarithmic Functions (Section 041 slides)
Lesson 13: Exponential and Logarithmic Functions (Section 041 slides)Matthew Leingang
 
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)Matthew Leingang
 
Lesson 23: The Definite Integral (handout)
Lesson 23: The Definite Integral (handout)Lesson 23: The Definite Integral (handout)
Lesson 23: The Definite Integral (handout)Matthew Leingang
 

Tendances (14)

Lesson 16: Inverse Trigonometric Functions (handout)
Lesson 16: Inverse Trigonometric Functions (handout)Lesson 16: Inverse Trigonometric Functions (handout)
Lesson 16: Inverse Trigonometric Functions (handout)
 
Lesson 13: Exponential and Logarithmic Functions (Section 041 handout)
Lesson 13: Exponential and Logarithmic Functions (Section 041 handout)Lesson 13: Exponential and Logarithmic Functions (Section 041 handout)
Lesson 13: Exponential and Logarithmic Functions (Section 041 handout)
 
Lesson 1: Functions
Lesson 1: FunctionsLesson 1: Functions
Lesson 1: Functions
 
Lesson 13: Exponential and Logarithmic Functions (Section 021 handout)
Lesson 13: Exponential and Logarithmic Functions (Section 021 handout)Lesson 13: Exponential and Logarithmic Functions (Section 021 handout)
Lesson 13: Exponential and Logarithmic Functions (Section 021 handout)
 
Lesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential FunctionsLesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential Functions
 
Lesson 12: Linear Approximation and Differentials (Section 41 slides)
Lesson 12: Linear Approximation and Differentials (Section 41 slides)Lesson 12: Linear Approximation and Differentials (Section 41 slides)
Lesson 12: Linear Approximation and Differentials (Section 41 slides)
 
Lesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential FunctionsLesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential Functions
 
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 12: Linear Approximation
Lesson 12: Linear ApproximationLesson 12: Linear Approximation
Lesson 12: Linear Approximation
 
Lesson 14: Derivatives of Logarithmic and Exponential Functions
Lesson 14: Derivatives of Logarithmic and Exponential FunctionsLesson 14: Derivatives of Logarithmic and Exponential Functions
Lesson 14: Derivatives of Logarithmic and Exponential Functions
 
Lesson 13: Exponential and Logarithmic Functions (Section 041 slides)
Lesson 13: Exponential and Logarithmic Functions (Section 041 slides)Lesson 13: Exponential and Logarithmic Functions (Section 041 slides)
Lesson 13: Exponential and Logarithmic Functions (Section 041 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 23: The Definite Integral (handout)
Lesson 23: The Definite Integral (handout)Lesson 23: The Definite Integral (handout)
Lesson 23: The Definite Integral (handout)
 

En vedette

Lesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential FunctionsLesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential FunctionsMatthew Leingang
 
Lesson 27: Evaluating Definite Integrals
Lesson 27: Evaluating Definite IntegralsLesson 27: Evaluating Definite Integrals
Lesson 27: Evaluating Definite IntegralsMatthew Leingang
 
Lesson 12: The Product and Quotient Rule
Lesson 12: The Product and Quotient RuleLesson 12: The Product and Quotient Rule
Lesson 12: The Product and Quotient RuleMatthew Leingang
 
Vmb divshare nl
Vmb divshare nlVmb divshare nl
Vmb divshare nlvri
 
Lesson 25: Unconstrained Optimization I
Lesson 25: Unconstrained Optimization ILesson 25: Unconstrained Optimization I
Lesson 25: Unconstrained Optimization IMatthew Leingang
 
Electronic Grading of Paper Assessments
Electronic Grading of Paper AssessmentsElectronic Grading of Paper Assessments
Electronic Grading of Paper AssessmentsMatthew Leingang
 
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-choiceMatthew Leingang
 

En vedette (9)

Lesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential FunctionsLesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential Functions
 
Lesson 27: Evaluating Definite Integrals
Lesson 27: Evaluating Definite IntegralsLesson 27: Evaluating Definite Integrals
Lesson 27: Evaluating Definite Integrals
 
Lesson 5: Continuity
Lesson 5: ContinuityLesson 5: Continuity
Lesson 5: Continuity
 
Lesson 12: The Product and Quotient Rule
Lesson 12: The Product and Quotient RuleLesson 12: The Product and Quotient Rule
Lesson 12: The Product and Quotient Rule
 
Vmb divshare nl
Vmb divshare nlVmb divshare nl
Vmb divshare nl
 
Lesson 25: Unconstrained Optimization I
Lesson 25: Unconstrained Optimization ILesson 25: Unconstrained Optimization I
Lesson 25: Unconstrained Optimization I
 
Electronic Grading of Paper Assessments
Electronic Grading of Paper AssessmentsElectronic Grading of Paper Assessments
Electronic Grading of Paper Assessments
 
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
 
Making Lesson Plans
Making Lesson PlansMaking Lesson Plans
Making Lesson Plans
 

Similaire à Lesson 2: A Catalog of Essential Functions (handout)

Lesson 10: The Chain Rule (handout)
Lesson 10: The Chain Rule (handout)Lesson 10: The Chain Rule (handout)
Lesson 10: The Chain Rule (handout)Matthew Leingang
 
Lesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential FunctionsLesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential FunctionsMel Anthony Pepito
 
Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 021 ...
Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 021 ...Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 021 ...
Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 021 ...Mel Anthony Pepito
 
Lesson 8: Basic Differentation Rules (handout)
Lesson 8: Basic Differentation Rules (handout)Lesson 8: Basic Differentation Rules (handout)
Lesson 8: Basic Differentation Rules (handout)Matthew Leingang
 
Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 041 ...
Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 041 ...Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 041 ...
Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 041 ...Mel Anthony Pepito
 
Lesson 4A - Inverses of Functions.ppt
Lesson 4A - Inverses of Functions.pptLesson 4A - Inverses of Functions.ppt
Lesson 4A - Inverses of Functions.pptssuser78a386
 
Lesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential FunctionsLesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential FunctionsMel Anthony Pepito
 
Lesson03 The Concept Of Limit 027 Slides
Lesson03   The Concept Of Limit 027 SlidesLesson03   The Concept Of Limit 027 Slides
Lesson03 The Concept Of Limit 027 SlidesMatthew Leingang
 
Lesson 2: A Catalog of Essential Functions (slides)
Lesson 2: A Catalog of Essential Functions (slides)Lesson 2: A Catalog of Essential Functions (slides)
Lesson 2: A Catalog of Essential Functions (slides)Matthew Leingang
 
Lesson 2: A Catalog of Essential Functions (slides)
Lesson 2: A Catalog of Essential Functions (slides)Lesson 2: A Catalog of Essential Functions (slides)
Lesson 2: A Catalog of Essential Functions (slides)Mel Anthony Pepito
 
0101: Graphing Quadratic Functions
0101: Graphing Quadratic Functions0101: Graphing Quadratic Functions
0101: Graphing Quadratic Functionskijo13
 
Lesson 5: Continuity (handout)
Lesson 5: Continuity (handout)Lesson 5: Continuity (handout)
Lesson 5: Continuity (handout)Matthew Leingang
 
Chapter 1 (functions).
Chapter 1 (functions).Chapter 1 (functions).
Chapter 1 (functions).Eko Wijayanto
 
Lesson 8: Basic Differentiation Rules (Section 41 handout)
Lesson 8: Basic Differentiation Rules (Section 41 handout)Lesson 8: Basic Differentiation Rules (Section 41 handout)
Lesson 8: Basic Differentiation Rules (Section 41 handout)Matthew Leingang
 
International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)ijceronline
 

Similaire à Lesson 2: A Catalog of Essential Functions (handout) (20)

Lesson 10: The Chain Rule (handout)
Lesson 10: The Chain Rule (handout)Lesson 10: The Chain Rule (handout)
Lesson 10: The Chain Rule (handout)
 
Lesson 1: Functions
Lesson 1: FunctionsLesson 1: Functions
Lesson 1: Functions
 
Lesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential FunctionsLesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential Functions
 
Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 021 ...
Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 021 ...Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 021 ...
Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 021 ...
 
Lesson 8: Basic Differentation Rules (handout)
Lesson 8: Basic Differentation Rules (handout)Lesson 8: Basic Differentation Rules (handout)
Lesson 8: Basic Differentation Rules (handout)
 
Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 041 ...
Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 041 ...Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 041 ...
Lesson 14: Derivatives of Exponential and Logarithmic Functions (Section 041 ...
 
Lesson 4A - Inverses of Functions.ppt
Lesson 4A - Inverses of Functions.pptLesson 4A - Inverses of Functions.ppt
Lesson 4A - Inverses of Functions.ppt
 
Lesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential FunctionsLesson 2: A Catalog of Essential Functions
Lesson 2: A Catalog of Essential Functions
 
Lesson03 The Concept Of Limit 027 Slides
Lesson03   The Concept Of Limit 027 SlidesLesson03   The Concept Of Limit 027 Slides
Lesson03 The Concept Of Limit 027 Slides
 
Lesson 2: A Catalog of Essential Functions (slides)
Lesson 2: A Catalog of Essential Functions (slides)Lesson 2: A Catalog of Essential Functions (slides)
Lesson 2: A Catalog of Essential Functions (slides)
 
Lesson 2: A Catalog of Essential Functions (slides)
Lesson 2: A Catalog of Essential Functions (slides)Lesson 2: A Catalog of Essential Functions (slides)
Lesson 2: A Catalog of Essential Functions (slides)
 
0101: Graphing Quadratic Functions
0101: Graphing Quadratic Functions0101: Graphing Quadratic Functions
0101: Graphing Quadratic Functions
 
Lesson 5: Continuity (handout)
Lesson 5: Continuity (handout)Lesson 5: Continuity (handout)
Lesson 5: Continuity (handout)
 
General Mathematics
General MathematicsGeneral Mathematics
General Mathematics
 
Paper no. 4
Paper no. 4Paper no. 4
Paper no. 4
 
Paper no. 4
Paper no. 4Paper no. 4
Paper no. 4
 
Chapter 1 (functions).
Chapter 1 (functions).Chapter 1 (functions).
Chapter 1 (functions).
 
Lecture 1
Lecture 1Lecture 1
Lecture 1
 
Lesson 8: Basic Differentiation Rules (Section 41 handout)
Lesson 8: Basic Differentiation Rules (Section 41 handout)Lesson 8: Basic Differentiation Rules (Section 41 handout)
Lesson 8: Basic Differentiation Rules (Section 41 handout)
 
International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)International Journal of Computational Engineering Research(IJCER)
International Journal of Computational Engineering Research(IJCER)
 

Plus de Matthew Leingang

Lesson 27: Integration by Substitution (slides)
Lesson 27: Integration by Substitution (slides)Lesson 27: Integration by Substitution (slides)
Lesson 27: Integration by Substitution (slides)Matthew Leingang
 
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)Matthew Leingang
 
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)Matthew Leingang
 
Lesson 27: Integration by Substitution (handout)
Lesson 27: Integration by Substitution (handout)Lesson 27: Integration by Substitution (handout)
Lesson 27: Integration by Substitution (handout)Matthew Leingang
 
Lesson 25: Evaluating Definite Integrals (slides)
Lesson 25: Evaluating Definite Integrals (slides)Lesson 25: Evaluating Definite Integrals (slides)
Lesson 25: Evaluating Definite Integrals (slides)Matthew Leingang
 
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)Matthew Leingang
 
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)Matthew Leingang
 
Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Matthew Leingang
 
Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Matthew Leingang
 
Lesson 22: Optimization Problems (slides)
Lesson 22: Optimization Problems (slides)Lesson 22: Optimization Problems (slides)
Lesson 22: Optimization Problems (slides)Matthew Leingang
 
Lesson 22: Optimization Problems (handout)
Lesson 22: Optimization Problems (handout)Lesson 22: Optimization Problems (handout)
Lesson 22: Optimization Problems (handout)Matthew Leingang
 
Lesson 21: Curve Sketching (slides)
Lesson 21: Curve Sketching (slides)Lesson 21: Curve Sketching (slides)
Lesson 21: Curve Sketching (slides)Matthew Leingang
 
Lesson 21: Curve Sketching (handout)
Lesson 21: Curve Sketching (handout)Lesson 21: Curve Sketching (handout)
Lesson 21: Curve Sketching (handout)Matthew Leingang
 
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)Matthew Leingang
 
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)Matthew Leingang
 
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)Matthew Leingang
 
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)Matthew Leingang
 
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)Matthew Leingang
 
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)Matthew Leingang
 
Lesson 16: Inverse Trigonometric Functions (slides)
Lesson 16: Inverse Trigonometric Functions (slides)Lesson 16: Inverse Trigonometric Functions (slides)
Lesson 16: Inverse Trigonometric Functions (slides)Matthew Leingang
 

Plus de Matthew Leingang (20)

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 25: Evaluating Definite Integrals (slides)
Lesson 25: Evaluating Definite Integrals (slides)Lesson 25: Evaluating Definite Integrals (slides)
Lesson 25: Evaluating Definite Integrals (slides)
 
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 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 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)
 
Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)
 
Lesson 22: Optimization Problems (slides)
Lesson 22: Optimization Problems (slides)Lesson 22: Optimization Problems (slides)
Lesson 22: Optimization Problems (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 (slides)
Lesson 21: Curve Sketching (slides)Lesson 21: Curve Sketching (slides)
Lesson 21: Curve Sketching (slides)
 
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 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 16: Inverse Trigonometric Functions (slides)
Lesson 16: Inverse Trigonometric Functions (slides)Lesson 16: Inverse Trigonometric Functions (slides)
Lesson 16: Inverse Trigonometric Functions (slides)
 

Dernier

08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking MenDelhi Call girls
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?Igalia
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessPixlogix Infotech
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonAnna Loughnan Colquhoun
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountPuma Security, LLC
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUK Journal
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonetsnaman860154
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxKatpro Technologies
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024The Digital Insurer
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 

Dernier (20)

08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 
Advantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your BusinessAdvantages of Hiring UIUX Design Service Providers for Your Business
Advantages of Hiring UIUX Design Service Providers for Your Business
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Data Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt RobisonData Cloud, More than a CDP by Matt Robison
Data Cloud, More than a CDP by Matt Robison
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Breaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path MountBreaking the Kubernetes Kill Chain: Host Path Mount
Breaking the Kubernetes Kill Chain: Host Path Mount
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptxFactors to Consider When Choosing Accounts Payable Services Providers.pptx
Factors to Consider When Choosing Accounts Payable Services Providers.pptx
 
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 

Lesson 2: A Catalog of Essential Functions (handout)

  • 1. . V63.0121.001, Calculus I . Sec on 2.2 : Essen al Func ons . January 26, 2011 Professor Ma hew Leingang . Sec on 2.2 Notes A Catalogue of Essen al Func ons V63.0121.001, Calculus I Professor Ma hew Leingang New York University Announcements First WebAssign-ments are due January 31 First wri en assignment is due February 2 Do the Get-to-Know-You survey for extra credit! . . Announcements Notes First WebAssign-ments are due January 31 First wri en assignment is due February 2 Do the Get-to-Know-You survey for extra credit! . . Objectives Notes Iden fy different classes of algebraic func ons, including polynomial (linear, quadra c, cubic, etc.), polynomialra onal, power, trigonometric, and exponen al func ons. Understand the effect of algebraic transforma ons on the graph of a func on. Understand and compute the composi on of two func ons. . . . 1 .
  • 2. . V63.0121.001, Calculus I . Sec on 2.2 : Essen al Func ons . January 26, 2011 Professor Ma hew Leingang What is a function? Notes Defini on A func on f is a rela on which assigns to to every element x in a set D a single element f(x) in a set E. The set D is called the domain of f. The set E is called the target of f. The set { y | y = f(x) for some x } is called the range of f. . . Classes of Functions Notes linear func ons, defined by slope an intercept, point and point, or point and slope. quadra c func ons, cubic func ons, power func ons, polynomials ra onal func ons trigonometric func ons exponen al/logarithmic func ons . . Outline Notes Algebraic Func ons Linear func ons Other Polynomial func ons Other power func ons General Ra onal func ons Transcendental Func ons Trigonometric Func ons Exponen al and Logarithmic func ons Transforma ons of Func ons Composi ons of Func ons . . . 2 .
  • 3. . V63.0121.001, Calculus I . Sec on 2.2 : Essen al Func ons . January 26, 2011 Professor Ma hew Leingang Linear functions Notes Linear func ons 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 func on of distance x traveled. Answer If x is in miles and f(x) in dollars, f(x) = 2.5 + 2x . . Notes Example Biologists have no ced that the chirping rate of crickets of a certain species is related to temperature, and the rela onship appears to be very nearly linear. A cricket produces 113 chirps per minute at 70 ◦ F and 173 chirps per minute at 80 ◦ F. (a) Write a linear equa on that models the temperature T as a func on of the number of chirps per minute N. (b) If the crickets are chirping at 150 chirps per minute, es mate the temperature. . . Solution Notes Solu on . . . 3 .
  • 4. . V63.0121.001, Calculus I . Sec on 2.2 : Essen al Func ons . January 26, 2011 Professor Ma hew Leingang Other Polynomial functions Notes Quadra c func ons take the form f(x) = ax2 + bx + c The graph is a parabola which opens upward if a > 0, downward if a < 0. Cubic func ons take the form f(x) = ax3 + bx2 + cx + d . . Other power functions Notes Whole number powers: f(x) = xn . 1 nega ve powers are reciprocals: x−3 = 3 . √ x frac onal powers are roots: x1/3 = 3 x. . . General Rational functions Notes Defini on A ra onal func on is a quo ent of polynomials. Example x3 (x + 3) The func on f(x) = is ra onal. (x + 2)(x − 1) . . . 4 .
  • 5. . V63.0121.001, Calculus I . Sec on 2.2 : Essen al Func ons . January 26, 2011 Professor Ma hew Leingang Outline Notes Algebraic Func ons Linear func ons Other Polynomial func ons Other power func ons General Ra onal func ons Transcendental Func ons Trigonometric Func ons Exponen al and Logarithmic func ons Transforma ons of Func ons Composi ons of Func ons . . Trigonometric Functions Notes Sine and cosine Tangent and cotangent Secant and cosecant . . Trigonometric functions graphed Notes GeoGebra applets . . . 5 .
  • 6. . V63.0121.001, Calculus I . Sec on 2.2 : Essen al Func ons . January 26, 2011 Professor Ma hew Leingang Exponential and Logarithmic Notes functions exponen al func ons (for example f(x) = 2x ) logarithmic func ons are their inverses (for example f(x) = log2 (x)) . . Graphs of exp and log Notes GeoGebra applets . . Outline Notes Algebraic Func ons Linear func ons Other Polynomial func ons Other power func ons General Ra onal func ons Transcendental Func ons Trigonometric Func ons Exponen al and Logarithmic func ons Transforma ons of Func ons Composi ons of Func ons . . . 6 .
  • 7. . V63.0121.001, Calculus I . Sec on 2.2 : Essen al Func ons . January 26, 2011 Professor Ma hew Leingang Transformations of Functions Notes Take the squaring func on and graph these transforma ons: y = (x + 1)2 y = (x − 1)2 y = x2 + 1 y = x2 − 1 Observe that if the fiddling occurs within the func on, a transforma on is applied on the x-axis. A er the func on, to the y-axis. . . Vertical and Horizontal Shifts Notes Suppose c > 0. To obtain the graph of y = f(x) + c, shi the graph of y = f(x) a distance c units . . . y = f(x) − c, shi the graph of y = f(x) a distance c units . . . y = f(x − c), shi the graph of y = f(x) a distance c units . . . y = f(x + c), shi the graph of y = f(x) a distance c units . . . . . Now try these Notes y = sin (2x) y = 2 sin (x) y = e−x y = −ex . . . 7 .
  • 8. . V63.0121.001, Calculus I . Sec on 2.2 : Essen al Func ons . January 26, 2011 Professor Ma hew Leingang Scaling and flipping Notes To obtain the graph of y = f(c · x), scale the graph of f horizontally by c y = c · f(x), scale the graph of f ver cally by c If |c| < 1, the scaling is a compression If c < 0, the scaling includes a flip . . Outline Notes Algebraic Func ons Linear func ons Other Polynomial func ons Other power func ons General Ra onal func ons Transcendental Func ons Trigonometric Func ons Exponen al and Logarithmic func ons Transforma ons of Func ons Composi ons of Func ons . . Composition is a compounding of Notes functions in succession g◦f x f . g (g ◦ f)(x) f(x) . . . 8 .
  • 9. . V63.0121.001, Calculus I . Sec on 2.2 : Essen al Func ons . January 26, 2011 Professor Ma hew Leingang Composing Notes Example Let f(x) = x2 and g(x) = sin x. Compute f ◦ g and g ◦ f. Solu on f ◦ g(x) = sin2 x while g ◦ f(x) = sin(x2 ). Note they are not the same. . . Decomposing Notes Example √ Express x2 − 4 as a composi on of two func ons. What is its domain? Solu on . . Summary Notes There are many classes of algebraic func ons Algebraic rules can be used to sketch graphs . . . 9 .