SlideShare uma empresa Scribd logo
1 de 44
Baixar para ler offline
Section 2.4
Continuity

   Math 1a


October 3, 2007
Questions



   True or False
   Right now there are two points on opposite sides of the Earth with
   exactly the same temperature.
Questions



   True or False
   Right now there are two points on opposite sides of the Earth with
   exactly the same temperature.

   True or False
   At one point in your life your height in inches equaled your weight
   in pounds.
Questions



   True or False
   Right now there are two points on opposite sides of the Earth with
   exactly the same temperature.

   True or False
   At one point in your life your height in inches equaled your weight
   in pounds.

   True or False
   At one point in your life you were exactly three feet tall.
Direct Substitution Property




   Theorem (The Direct Substitution Property)
   If f is a polynomial or a rational function and a is in the domain of
   f , then
                              lim f (x) = f (a)
                             x→a
Definition of Continuity




   Definition
   Let f be a function defined near a. We say that f is continuous at
   a if
                            lim f (x) = f (a).
                           x→a
Free Theorems




  Theorem
   (a) Any polynomial is continuous everywhere; that is, it is
       continuous on R = (−∞, ∞).
  (b) Any rational function is continuous wherever it is defined; that
      is, it is continuous on its domain.
Showing a function is continuous


   Example
                 √
   Let f (x) =       4x + 1. Show that f is continuous at 2.
Showing a function is continuous


   Example
                 √
   Let f (x) =       4x + 1. Show that f is continuous at 2.

   Solution
   We have
                                              √
                           lim f (x) = lim        4x + 1
                           x→a          x→2

                                    =       lim (4x + 1)
                                            x→2
                                        √
                                    =       9 = 3.

   Each step comes from the limit laws.
Showing a function is continuous


   Example
                 √
   Let f (x) =       4x + 1. Show that f is continuous at 2.

   Solution
   We have
                                              √
                           lim f (x) = lim        4x + 1
                           x→a          x→2

                                    =       lim (4x + 1)
                                            x→2
                                        √
                                    =       9 = 3.

   Each step comes from the limit laws.
   In fact, f is continuous on its whole domain, which is − 1 , ∞ .
                                                            4
The Limit Laws give Continuity Laws



   Theorem
   If f and g are continuous at a and c is a constant, then the
   following functions are also continuous at a:
    1. f + g
    2. f − g
    3. cf
    4. fg
       f
    5.    (if g (a) = 0)
       g
Transcendental functions are continuous, too




   Theorem
   The following functions are continuous wherever they are defined:
    1. sin, cos, tan, cot sec, csc
    2. x → ax , loga , ln
    3. sin−1 , tan−1 , sec−1
What could go wrong?




  In what ways could a function f fail to be continuous at a point a?
  Look again at the definition:

                           lim f (x) = f (a)
                           x→a
Pitfall #1
   Example
   Let
                                x2    if 0 ≤ x ≤ 1
                      f (x) =
                                      if 1 < x ≤ 2
                                2x
   At which points is f continuous?
Pitfall #1: The limit does not exist
   Example
   Let
                                  x2    if 0 ≤ x ≤ 1
                        f (x) =
                                        if 1 < x ≤ 2
                                  2x
   At which points is f continuous?

   Solution
   At any point a in [0, 2] besides 1, lim f (x) = f (a) because f is
                                       x→a
   represented by a polynomial near a, and polynomials have the
   direct substitution property. However,

                     lim f (x) = lim x 2 = 12 = 1
                    x→1−          x→1−
                      lim f (x) = lim+ 2x = 2(1) = 2
                     x→1+         x→1

   So f has no limit at 1. Therefore f is not continuous at 1.
Pitfall #2



   Example
   Let
                                  x 2 + 2x + 1
                          f (x) =
                                      x +1
   At which points is f continuous?
Pitfall #2: The function has no value



   Example
   Let
                                  x 2 + 2x + 1
                          f (x) =
                                      x +1
   At which points is f continuous?

   Solution
   Because f is rational, it is continuous on its whole domain. Note
   that −1 is not in the domain of f , so f is not continuous there.
Pitfall #3



   Example
   Let
                                  46   if x = 1
                        f (x) =
                                  π    if x = 1
   At which points is f continuous?
Pitfall #3: function value = limit



   Example
   Let
                                   46   if x = 1
                         f (x) =
                                   π    if x = 1
   At which points is f continuous?

   Solution
   f is not continuous at 1 because f (1) = π but lim f (x) = 46.
                                                   x→1
Special types of discontinuites




   removable discontinuity The limit lim f (x) exists, but f is not
                                     x→a
                defined at a or its value at a is not equal to the limit
                at a.
   jump discontinuity The limits lim f (x) and lim+ f (x) exist, but
                                  x→a−            x→a
                are different. f (a) is one of these limits.
Special types of discontinuites




   removable discontinuity The limit lim f (x) exists, but f is not
                                     x→a
                defined at a or its value at a is not equal to the limit
                at a.
   jump discontinuity The limits lim f (x) and lim+ f (x) exist, but
                                   x→a−            x→a
                 are different. f (a) is one of these limits.
   The greatest integer function f (x) = [[x]] has jump discontinuities.
A Big Time Theorem




  Theorem (The Intermediate Value Theorem)
  Suppose that f is continuous on the closed interval [a, b] and let N
  be any number between f (a) and f (b), where f (a) = f (b). Then
  there exists a number c in (a, b) such that f (c) = N.
Illustrating the IVT



       f (x)




                       x
Illustrating the IVT
   Suppose that f is continuous on the closed interval [a, b]



       f (x)




                                                                x
Illustrating the IVT
   Suppose that f is continuous on the closed interval [a, b]



        f (x)


    f (b)




    f (a)




                                                                x
                       a                               b
Illustrating the IVT
   Suppose that f is continuous on the closed interval [a, b] and let N
   be any number between f (a) and f (b), where f (a) = f (b).


        f (x)


    f (b)

      N

    f (a)




                                                              x
                       a                              b
Illustrating the IVT
   Suppose that f is continuous on the closed interval [a, b] and let N
   be any number between f (a) and f (b), where f (a) = f (b). Then
   there exists a number c in (a, b) such that f (c) = N.
        f (x)


    f (b)

      N

    f (a)




                                                              x
                       a      c                       b
Illustrating the IVT
   Suppose that f is continuous on the closed interval [a, b] and let N
   be any number between f (a) and f (b), where f (a) = f (b). Then
   there exists a number c in (a, b) such that f (c) = N.
        f (x)


    f (b)

      N

    f (a)




                                                              x
                       a                              b
Illustrating the IVT
   Suppose that f is continuous on the closed interval [a, b] and let N
   be any number between f (a) and f (b), where f (a) = f (b). Then
   there exists a number c in (a, b) such that f (c) = N.
        f (x)


    f (b)

      N

    f (a)




                                                              x
                       a c1    c2                 c3 b
Using the IVT


   Example
   Prove that the square root of two exists.
Using the IVT


   Example
   Prove that the square root of two exists.

   Proof.
   Let f (x) = x 2 , a continuous function on [1, 2].
Using the IVT


   Example
   Prove that the square root of two exists.

   Proof.
   Let f (x) = x 2 , a continuous function on [1, 2]. Note f (1) = 1 and
   f (2) = 4. Since 2 is between 1 and 4, there exists a point c in
   (1, 2) such that
                               f (c) = c 2 = 2.
Using the IVT


   Example
   Prove that the square root of two exists.

   Proof.
   Let f (x) = x 2 , a continuous function on [1, 2]. Note f (1) = 1 and
   f (2) = 4. Since 2 is between 1 and 4, there exists a point c in
   (1, 2) such that
                               f (c) = c 2 = 2.


   In fact, we can “narrow in” on the square root of 2 by the method
   of bisections.

Mais conteúdo relacionado

Mais procurados

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 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Matthew Leingang
 
Some notes on Tight Frames
Some notes on Tight FramesSome notes on Tight Frames
Some notes on Tight FramesShailesh Kumar
 
Lesson 3: The Limit of a Function (slides)
Lesson 3: The Limit of a Function (slides)Lesson 3: The Limit of a Function (slides)
Lesson 3: The Limit of a Function (slides)Matthew Leingang
 
Maximums and minimum
Maximums and minimum Maximums and minimum
Maximums and minimum rubimedina01
 
Lesson 15: Exponential Growth and Decay (slides)
Lesson 15: Exponential Growth and Decay (slides)Lesson 15: Exponential Growth and Decay (slides)
Lesson 15: Exponential Growth and Decay (slides)Matthew Leingang
 
Lesson 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
 
Cs229 notes8
Cs229 notes8Cs229 notes8
Cs229 notes8VuTran231
 
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
 
On Analytic Review of Hahn–Banach Extension Results with Some Generalizations
On Analytic Review of Hahn–Banach Extension Results with Some GeneralizationsOn Analytic Review of Hahn–Banach Extension Results with Some Generalizations
On Analytic Review of Hahn–Banach Extension Results with Some GeneralizationsBRNSS Publication Hub
 
Real and convex analysis
Real and convex analysisReal and convex analysis
Real and convex analysisSpringer
 
Lesson 5: Continuity (Section 21 slides)
Lesson 5: Continuity (Section 21 slides)Lesson 5: Continuity (Section 21 slides)
Lesson 5: Continuity (Section 21 slides)Matthew Leingang
 

Mais procurados (19)

Lesson 5: Continuity
Lesson 5: ContinuityLesson 5: Continuity
Lesson 5: Continuity
 
Lesson 5: Continuity
Lesson 5: ContinuityLesson 5: Continuity
Lesson 5: Continuity
 
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 5: Continuity
Lesson 5: ContinuityLesson 5: Continuity
Lesson 5: Continuity
 
Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)
 
Some notes on Tight Frames
Some notes on Tight FramesSome notes on Tight Frames
Some notes on Tight Frames
 
Analysis Solutions CIV
Analysis Solutions CIVAnalysis Solutions CIV
Analysis Solutions CIV
 
Lesson 3: The Limit of a Function (slides)
Lesson 3: The Limit of a Function (slides)Lesson 3: The Limit of a Function (slides)
Lesson 3: The Limit of a Function (slides)
 
Maximums and minimum
Maximums and minimum Maximums and minimum
Maximums and minimum
 
Midterm I Review
Midterm I ReviewMidterm I Review
Midterm I Review
 
Lesson 15: Exponential Growth and Decay (slides)
Lesson 15: Exponential Growth and Decay (slides)Lesson 15: Exponential Growth and Decay (slides)
Lesson 15: Exponential Growth and Decay (slides)
 
Lesson 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)
 
Cs229 notes8
Cs229 notes8Cs229 notes8
Cs229 notes8
 
Lesson 25: Evaluating Definite Integrals (slides)
Lesson 25: Evaluating Definite Integrals (slides)Lesson 25: Evaluating Definite Integrals (slides)
Lesson 25: Evaluating Definite Integrals (slides)
 
On Analytic Review of Hahn–Banach Extension Results with Some Generalizations
On Analytic Review of Hahn–Banach Extension Results with Some GeneralizationsOn Analytic Review of Hahn–Banach Extension Results with Some Generalizations
On Analytic Review of Hahn–Banach Extension Results with Some Generalizations
 
Real and convex analysis
Real and convex analysisReal and convex analysis
Real and convex analysis
 
Continuity
ContinuityContinuity
Continuity
 
Limit and continuity
Limit and continuityLimit and continuity
Limit and continuity
 
Lesson 5: Continuity (Section 21 slides)
Lesson 5: Continuity (Section 21 slides)Lesson 5: Continuity (Section 21 slides)
Lesson 5: Continuity (Section 21 slides)
 

Destaque

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
 
Lesson 6: Continuity II, Infinite Limits
Lesson 6: Continuity II, Infinite LimitsLesson 6: Continuity II, Infinite Limits
Lesson 6: Continuity II, Infinite LimitsMatthew Leingang
 
Lesson 13: Rates of Change in Science
Lesson 13: Rates of Change in ScienceLesson 13: Rates of Change in Science
Lesson 13: Rates of Change in ScienceMatthew Leingang
 
Lesson 18: Geometric Representations of Functions
Lesson 18: Geometric Representations of FunctionsLesson 18: Geometric Representations of Functions
Lesson 18: Geometric Representations of FunctionsMatthew Leingang
 
Lesson 16 The Spectral Theorem and Applications
Lesson 16  The Spectral Theorem and ApplicationsLesson 16  The Spectral Theorem and Applications
Lesson 16 The Spectral Theorem and ApplicationsMatthew Leingang
 
Lesson 8: Tangents, Velocity, the Derivative
Lesson 8: Tangents, Velocity, the DerivativeLesson 8: Tangents, Velocity, the Derivative
Lesson 8: Tangents, Velocity, the DerivativeMatthew Leingang
 
Lesson05 Continuity Slides+Notes
Lesson05    Continuity Slides+NotesLesson05    Continuity Slides+Notes
Lesson05 Continuity Slides+NotesMatthew Leingang
 
Lesson 10: What does f' say about f?
Lesson 10: What does f' say about f?Lesson 10: What does f' say about f?
Lesson 10: What does f' say about f?Matthew Leingang
 
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 FunctionMatthew Leingang
 
Lesson 15: Diagonalization
Lesson 15: DiagonalizationLesson 15: Diagonalization
Lesson 15: DiagonalizationMatthew Leingang
 
Lesson17: Functions Of Several Variables
Lesson17: Functions Of  Several  VariablesLesson17: Functions Of  Several  Variables
Lesson17: Functions Of Several VariablesMatthew Leingang
 
Lesson14: Derivatives of Trigonometric Functions
Lesson14: Derivatives of Trigonometric FunctionsLesson14: Derivatives of Trigonometric Functions
Lesson14: Derivatives of Trigonometric FunctionsMatthew Leingang
 
Lesson 7: Limits at Infinity
Lesson 7: Limits at InfinityLesson 7: Limits at Infinity
Lesson 7: Limits at InfinityMatthew Leingang
 
Lesson 12: Linear Independence
Lesson 12: Linear IndependenceLesson 12: Linear Independence
Lesson 12: Linear IndependenceMatthew Leingang
 
Lesson 16: Implicit Differentiation
Lesson 16: Implicit DifferentiationLesson 16: Implicit Differentiation
Lesson 16: Implicit DifferentiationMatthew Leingang
 
Lesson 13: Rank and Solutions to Systems of Linear Equations
Lesson 13: Rank and Solutions to Systems of Linear EquationsLesson 13: Rank and Solutions to Systems of Linear Equations
Lesson 13: Rank and Solutions to Systems of Linear EquationsMatthew Leingang
 
Lesson 19: Partial Derivatives
Lesson 19: Partial DerivativesLesson 19: Partial Derivatives
Lesson 19: Partial DerivativesMatthew Leingang
 

Destaque (20)

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
 
Lesson 6: Continuity II, Infinite Limits
Lesson 6: Continuity II, Infinite LimitsLesson 6: Continuity II, Infinite Limits
Lesson 6: Continuity II, Infinite Limits
 
Lesson 13: Rates of Change in Science
Lesson 13: Rates of Change in ScienceLesson 13: Rates of Change in Science
Lesson 13: Rates of Change in Science
 
Lesson 18: Geometric Representations of Functions
Lesson 18: Geometric Representations of FunctionsLesson 18: Geometric Representations of Functions
Lesson 18: Geometric Representations of Functions
 
Lesson 10: Inverses
Lesson 10: InversesLesson 10: Inverses
Lesson 10: Inverses
 
Lesson 16 The Spectral Theorem and Applications
Lesson 16  The Spectral Theorem and ApplicationsLesson 16  The Spectral Theorem and Applications
Lesson 16 The Spectral Theorem and Applications
 
Lesson 15: The Chain Rule
Lesson 15: The Chain RuleLesson 15: The Chain Rule
Lesson 15: The Chain Rule
 
Lesson 8: Tangents, Velocity, the Derivative
Lesson 8: Tangents, Velocity, the DerivativeLesson 8: Tangents, Velocity, the Derivative
Lesson 8: Tangents, Velocity, the Derivative
 
Lesson05 Continuity Slides+Notes
Lesson05    Continuity Slides+NotesLesson05    Continuity Slides+Notes
Lesson05 Continuity Slides+Notes
 
Lesson 10: What does f' say about f?
Lesson 10: What does f' say about f?Lesson 10: What does f' say about f?
Lesson 10: What does f' say about f?
 
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 15: Diagonalization
Lesson 15: DiagonalizationLesson 15: Diagonalization
Lesson 15: Diagonalization
 
Lesson17: Functions Of Several Variables
Lesson17: Functions Of  Several  VariablesLesson17: Functions Of  Several  Variables
Lesson17: Functions Of Several Variables
 
Lesson 19: Related Rates
Lesson 19: Related RatesLesson 19: Related Rates
Lesson 19: Related Rates
 
Lesson14: Derivatives of Trigonometric Functions
Lesson14: Derivatives of Trigonometric FunctionsLesson14: Derivatives of Trigonometric Functions
Lesson14: Derivatives of Trigonometric Functions
 
Lesson 7: Limits at Infinity
Lesson 7: Limits at InfinityLesson 7: Limits at Infinity
Lesson 7: Limits at Infinity
 
Lesson 12: Linear Independence
Lesson 12: Linear IndependenceLesson 12: Linear Independence
Lesson 12: Linear Independence
 
Lesson 16: Implicit Differentiation
Lesson 16: Implicit DifferentiationLesson 16: Implicit Differentiation
Lesson 16: Implicit Differentiation
 
Lesson 13: Rank and Solutions to Systems of Linear Equations
Lesson 13: Rank and Solutions to Systems of Linear EquationsLesson 13: Rank and Solutions to Systems of Linear Equations
Lesson 13: Rank and Solutions to Systems of Linear Equations
 
Lesson 19: Partial Derivatives
Lesson 19: Partial DerivativesLesson 19: Partial Derivatives
Lesson 19: Partial Derivatives
 

Semelhante a Lesson05 Continuity Slides+Notes

Lesson 5: Continuity (Section 21 slides)
Lesson 5: Continuity (Section 21 slides)Lesson 5: Continuity (Section 21 slides)
Lesson 5: Continuity (Section 21 slides)Mel Anthony Pepito
 
Inverse functions
Inverse functionsInverse functions
Inverse functionsgregcross22
 
Derivatives Lesson Oct 19
Derivatives Lesson  Oct 19Derivatives Lesson  Oct 19
Derivatives Lesson Oct 19ingroy
 
Lesson 15: Inverse Functions and Logarithms
Lesson 15: Inverse Functions and LogarithmsLesson 15: Inverse Functions and Logarithms
Lesson 15: Inverse Functions and LogarithmsMatthew 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)Mel Anthony Pepito
 
Lesson 15: Inverse Functions and Logarithms
Lesson 15: Inverse Functions and LogarithmsLesson 15: Inverse Functions and Logarithms
Lesson 15: Inverse Functions and LogarithmsMatthew Leingang
 
Varian, microeconomic analysis, solution book
Varian, microeconomic analysis, solution bookVarian, microeconomic analysis, solution book
Varian, microeconomic analysis, solution bookJosé Antonio PAYANO YALE
 
Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Mel Anthony Pepito
 
Lesson 5: Continuity (Section 41 slides)
Lesson 5: Continuity (Section 41 slides)Lesson 5: Continuity (Section 41 slides)
Lesson 5: Continuity (Section 41 slides)Mel Anthony Pepito
 
Lesson 5: Continuity (Section 41 slides)
Lesson 5: Continuity (Section 41 slides)Lesson 5: Continuity (Section 41 slides)
Lesson 5: Continuity (Section 41 slides)Matthew Leingang
 
Limits and continuity[1]
Limits and continuity[1]Limits and continuity[1]
Limits and continuity[1]indu thakur
 
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 functionMatthew 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)Mel Anthony Pepito
 
Lesson 30: The Definite Integral
Lesson 30: The  Definite  IntegralLesson 30: The  Definite  Integral
Lesson 30: The Definite IntegralMatthew Leingang
 
584 fundamental theorem of calculus
584 fundamental theorem of calculus584 fundamental theorem of calculus
584 fundamental theorem of calculusgoldenratio618
 
Applying the derivative
Applying the derivativeApplying the derivative
Applying the derivativeInarotul Faiza
 
limits and continuity
limits and continuitylimits and continuity
limits and continuityElias Dinsa
 

Semelhante a Lesson05 Continuity Slides+Notes (20)

Lesson 3: Continuity
Lesson 3: ContinuityLesson 3: Continuity
Lesson 3: Continuity
 
Lesson 5: Continuity (slides)
Lesson 5: Continuity (slides)Lesson 5: Continuity (slides)
Lesson 5: Continuity (slides)
 
Lesson 5: Continuity (Section 21 slides)
Lesson 5: Continuity (Section 21 slides)Lesson 5: Continuity (Section 21 slides)
Lesson 5: Continuity (Section 21 slides)
 
Inverse functions
Inverse functionsInverse functions
Inverse functions
 
Derivatives Lesson Oct 19
Derivatives Lesson  Oct 19Derivatives Lesson  Oct 19
Derivatives Lesson Oct 19
 
Lesson 15: Inverse Functions and Logarithms
Lesson 15: Inverse Functions and LogarithmsLesson 15: Inverse Functions and Logarithms
Lesson 15: Inverse Functions and Logarithms
 
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 15: Inverse Functions and Logarithms
Lesson 15: Inverse Functions and LogarithmsLesson 15: Inverse Functions and Logarithms
Lesson 15: Inverse Functions and Logarithms
 
Varian, microeconomic analysis, solution book
Varian, microeconomic analysis, solution bookVarian, microeconomic analysis, solution book
Varian, microeconomic analysis, solution book
 
Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)Lesson 23: Antiderivatives (slides)
Lesson 23: Antiderivatives (slides)
 
Lesson 5: Continuity (Section 41 slides)
Lesson 5: Continuity (Section 41 slides)Lesson 5: Continuity (Section 41 slides)
Lesson 5: Continuity (Section 41 slides)
 
Lesson 5: Continuity (Section 41 slides)
Lesson 5: Continuity (Section 41 slides)Lesson 5: Continuity (Section 41 slides)
Lesson 5: Continuity (Section 41 slides)
 
Limits and continuity[1]
Limits and continuity[1]Limits and continuity[1]
Limits and continuity[1]
 
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 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 30: The Definite Integral
Lesson 30: The  Definite  IntegralLesson 30: The  Definite  Integral
Lesson 30: The Definite Integral
 
584 fundamental theorem of calculus
584 fundamental theorem of calculus584 fundamental theorem of calculus
584 fundamental theorem of calculus
 
Applying the derivative
Applying the derivativeApplying the derivative
Applying the derivative
 
limits and continuity
limits and continuitylimits and continuity
limits and continuity
 
Limits
LimitsLimits
Limits
 

Mais de Matthew 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
 
Electronic Grading of Paper Assessments
Electronic Grading of Paper AssessmentsElectronic Grading of Paper Assessments
Electronic Grading of Paper AssessmentsMatthew 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 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 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 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 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 (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 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 (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
 

Mais 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 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 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 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 (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 (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)
 

Último

How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerThousandEyes
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptxHampshireHUG
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
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
 
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
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024The Digital Insurer
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfEnterprise Knowledge
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
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
 
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
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
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
 
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
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?Antenna Manufacturer Coco
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 

Último (20)

How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
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
 
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
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
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...
 
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
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
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...
 
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
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 

Lesson05 Continuity Slides+Notes

  • 1. Section 2.4 Continuity Math 1a October 3, 2007
  • 2. Questions True or False Right now there are two points on opposite sides of the Earth with exactly the same temperature.
  • 3. Questions True or False Right now there are two points on opposite sides of the Earth with exactly the same temperature. True or False At one point in your life your height in inches equaled your weight in pounds.
  • 4. Questions True or False Right now there are two points on opposite sides of the Earth with exactly the same temperature. True or False At one point in your life your height in inches equaled your weight in pounds. True or False At one point in your life you were exactly three feet tall.
  • 5. Direct Substitution Property Theorem (The Direct Substitution Property) If f is a polynomial or a rational function and a is in the domain of f , then lim f (x) = f (a) x→a
  • 6.
  • 7. Definition of Continuity Definition Let f be a function defined near a. We say that f is continuous at a if lim f (x) = f (a). x→a
  • 8. Free Theorems Theorem (a) Any polynomial is continuous everywhere; that is, it is continuous on R = (−∞, ∞). (b) Any rational function is continuous wherever it is defined; that is, it is continuous on its domain.
  • 9. Showing a function is continuous Example √ Let f (x) = 4x + 1. Show that f is continuous at 2.
  • 10.
  • 11. Showing a function is continuous Example √ Let f (x) = 4x + 1. Show that f is continuous at 2. Solution We have √ lim f (x) = lim 4x + 1 x→a x→2 = lim (4x + 1) x→2 √ = 9 = 3. Each step comes from the limit laws.
  • 12. Showing a function is continuous Example √ Let f (x) = 4x + 1. Show that f is continuous at 2. Solution We have √ lim f (x) = lim 4x + 1 x→a x→2 = lim (4x + 1) x→2 √ = 9 = 3. Each step comes from the limit laws. In fact, f is continuous on its whole domain, which is − 1 , ∞ . 4
  • 13.
  • 14. The Limit Laws give Continuity Laws Theorem If f and g are continuous at a and c is a constant, then the following functions are also continuous at a: 1. f + g 2. f − g 3. cf 4. fg f 5. (if g (a) = 0) g
  • 15.
  • 16. Transcendental functions are continuous, too Theorem The following functions are continuous wherever they are defined: 1. sin, cos, tan, cot sec, csc 2. x → ax , loga , ln 3. sin−1 , tan−1 , sec−1
  • 17.
  • 18. What could go wrong? In what ways could a function f fail to be continuous at a point a? Look again at the definition: lim f (x) = f (a) x→a
  • 19. Pitfall #1 Example Let x2 if 0 ≤ x ≤ 1 f (x) = if 1 < x ≤ 2 2x At which points is f continuous?
  • 20.
  • 21.
  • 22.
  • 23. Pitfall #1: The limit does not exist Example Let x2 if 0 ≤ x ≤ 1 f (x) = if 1 < x ≤ 2 2x At which points is f continuous? Solution At any point a in [0, 2] besides 1, lim f (x) = f (a) because f is x→a represented by a polynomial near a, and polynomials have the direct substitution property. However, lim f (x) = lim x 2 = 12 = 1 x→1− x→1− lim f (x) = lim+ 2x = 2(1) = 2 x→1+ x→1 So f has no limit at 1. Therefore f is not continuous at 1.
  • 24.
  • 25. Pitfall #2 Example Let x 2 + 2x + 1 f (x) = x +1 At which points is f continuous?
  • 26.
  • 27. Pitfall #2: The function has no value Example Let x 2 + 2x + 1 f (x) = x +1 At which points is f continuous? Solution Because f is rational, it is continuous on its whole domain. Note that −1 is not in the domain of f , so f is not continuous there.
  • 28. Pitfall #3 Example Let 46 if x = 1 f (x) = π if x = 1 At which points is f continuous?
  • 29. Pitfall #3: function value = limit Example Let 46 if x = 1 f (x) = π if x = 1 At which points is f continuous? Solution f is not continuous at 1 because f (1) = π but lim f (x) = 46. x→1
  • 30. Special types of discontinuites removable discontinuity The limit lim f (x) exists, but f is not x→a defined at a or its value at a is not equal to the limit at a. jump discontinuity The limits lim f (x) and lim+ f (x) exist, but x→a− x→a are different. f (a) is one of these limits.
  • 31. Special types of discontinuites removable discontinuity The limit lim f (x) exists, but f is not x→a defined at a or its value at a is not equal to the limit at a. jump discontinuity The limits lim f (x) and lim+ f (x) exist, but x→a− x→a are different. f (a) is one of these limits. The greatest integer function f (x) = [[x]] has jump discontinuities.
  • 32.
  • 33. A Big Time Theorem Theorem (The Intermediate Value Theorem) Suppose that f is continuous on the closed interval [a, b] and let N be any number between f (a) and f (b), where f (a) = f (b). Then there exists a number c in (a, b) such that f (c) = N.
  • 35. Illustrating the IVT Suppose that f is continuous on the closed interval [a, b] f (x) x
  • 36. Illustrating the IVT Suppose that f is continuous on the closed interval [a, b] f (x) f (b) f (a) x a b
  • 37. Illustrating the IVT Suppose that f is continuous on the closed interval [a, b] and let N be any number between f (a) and f (b), where f (a) = f (b). f (x) f (b) N f (a) x a b
  • 38. Illustrating the IVT Suppose that f is continuous on the closed interval [a, b] and let N be any number between f (a) and f (b), where f (a) = f (b). Then there exists a number c in (a, b) such that f (c) = N. f (x) f (b) N f (a) x a c b
  • 39. Illustrating the IVT Suppose that f is continuous on the closed interval [a, b] and let N be any number between f (a) and f (b), where f (a) = f (b). Then there exists a number c in (a, b) such that f (c) = N. f (x) f (b) N f (a) x a b
  • 40. Illustrating the IVT Suppose that f is continuous on the closed interval [a, b] and let N be any number between f (a) and f (b), where f (a) = f (b). Then there exists a number c in (a, b) such that f (c) = N. f (x) f (b) N f (a) x a c1 c2 c3 b
  • 41. Using the IVT Example Prove that the square root of two exists.
  • 42. Using the IVT Example Prove that the square root of two exists. Proof. Let f (x) = x 2 , a continuous function on [1, 2].
  • 43. Using the IVT Example Prove that the square root of two exists. Proof. Let f (x) = x 2 , a continuous function on [1, 2]. Note f (1) = 1 and f (2) = 4. Since 2 is between 1 and 4, there exists a point c in (1, 2) such that f (c) = c 2 = 2.
  • 44. Using the IVT Example Prove that the square root of two exists. Proof. Let f (x) = x 2 , a continuous function on [1, 2]. Note f (1) = 1 and f (2) = 4. Since 2 is between 1 and 4, there exists a point c in (1, 2) such that f (c) = c 2 = 2. In fact, we can “narrow in” on the square root of 2 by the method of bisections.