Index FAQ Rolle and Mean Value Theorem. Index FAQ APPLICATIONS OF DIFFERENTIATION We will see that many of the results of this chapter depend on one central.

Slides:



Advertisements
Similar presentations
APPLICATIONS OF DIFFERENTIATION
Advertisements

1 Local Extrema & Mean Value Theorem Local Extrema Rolle’s theorem: What goes up must come down Mean value theorem: Average velocity must be attained Some.
Copyright © Cengage Learning. All rights reserved.
Copyright © Cengage Learning. All rights reserved.
7 INVERSE FUNCTIONS.
Aim: Rolle’s Theorem Course: Calculus Do Now: Aim: What made Rolle over to his theorem? Find the absolute maximum and minimum values of y = x 3 – x on.
Section 3.2 – Rolle’s Theorem and the Mean Value Theorem
APPLICATIONS OF DIFFERENTIATION Maximum and Minimum Values In this section, we will learn: How to find the maximum and minimum values of a function.
APPLICATIONS OF DIFFERENTIATION
INTEGRALS The Fundamental Theorem of Calculus INTEGRALS In this section, we will learn about: The Fundamental Theorem of Calculus and its significance.
LIMITS Continuity LIMITS In this section, we will: See that the mathematical definition of continuity corresponds closely with the meaning of the.
4.2 The Mean Value Theorem.
APPLICATIONS OF DIFFERENTIATION The Mean Value Theorem APPLICATIONS OF DIFFERENTIATION In this section, we will learn about: The significance of.
The derivative as the slope of the tangent line
LIMITS AND DERIVATIVES 2. We noticed in Section 2.3 that the limit of a function as x approaches a can often be found simply by calculating the value.
Rolle’s theorem and Mean Value Theorem ( Section 3.2) Alex Karassev.
Chapter 4: Applications of Derivatives Section 4.2: Mean Value Theorem
 We noticed in Section 2.3 that the limit of a function as x approaches a can often be found simply by calculating the value of the function at a.  Functions.
LIMITS 2. We noticed in Section 2.3 that the limit of a function as x approaches a can often be found simply by calculating the value of the function.
The mean value theorem and curve sketching
APPLICATIONS OF DIFFERENTIATION 4. Many applications of calculus depend on our ability to deduce facts about a function f from information concerning.
We noticed in Section 2.3 that the limit of a function as x approaches a can often be found simply by calculating the value of the function at a.  Functions.
Calculus 1.1: Review of Trig/Precal A. Lines 1. Slope: 2. Parallel lines—Same slope Perpendicular lines—Slopes are opposite reciprocals 3. Equations of.
DIFFERENTIATION RULES
INTEGRALS 5. INTEGRALS In Chapter 2, we used the tangent and velocity problems to introduce the derivative—the central idea in differential calculus.
3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given.
APPLICATIONS OF DIFFERENTIATION 4. Many applications of calculus depend on our ability to deduce facts about a function f from information concerning.
In section 11.9, we were able to find power series representations for a certain restricted class of functions. Here, we investigate more general problems.
Lesson 4-2 Mean Value Theorem and Rolle’s Theorem.
Applications of Differentiation Section 4.2 The Mean Value Theorem
APPLICATIONS OF DIFFERENTIATION 4. We will see that many of the results of this chapter depend on one central fact—the Mean Value Theorem.
4.2 – The Mean Value Theorem
1 3.2 The Mean Value Theorem. 2 Rolle’s Theorem 3 Figure 1 shows the graphs of four such functions. Figure 1 (c) (b) (d) (a) Examples:
APPLICATIONS OF DIFFERENTIATION 4. We will see that many of the results of this chapter depend on one central fact—the Mean Value Theorem.
3 DIFFERENTIATION RULES. We have:  Seen how to interpret derivatives as slopes and rates of change  Seen how to estimate derivatives of functions given.
Applications of Differentiation Section 4.9 Antiderivatives
Rollle’s and Mean Value Theorem French mathematician Michel Rolle (21 April 1652 – 8 November 1719)
APPLICATIONS OF DIFFERENTIATION 4. EXTREME VALUE THEOREM If f is continuous on a closed interval [a, b], then f attains an absolute maximum value f(c)
Rolle’s Theorem/Mean-Value Theorem Objective: Use and interpret the Mean-Value Theorem.
If f (x) is continuous over [ a, b ] and differentiable in (a,b), then at some point, c, between a and b : Mean Value Theorem for Derivatives.
Calculus and Analytical Geometry Lecture # 15 MTH 104.
CRITICAL POINTS, EXTREME VALUE THEOREM AND MEAN VALUE THEOREM.
APPLICATIONS OF DIFFERENTIATION Antiderivatives In this section, we will learn about: Antiderivatives and how they are useful in solving certain.
4.2 The Mean Value Theorem.
3.2 Rolle’s Theorem and the
4.2 The Mean Value Theorem In this section, we will learn about:
Rolle’s theorem and Mean Value Theorem (Section 4.2)
Rolle’s Theorem/Mean-Value Theorem
Hypothesis: Conclusion:
Copyright © Cengage Learning. All rights reserved.
Lesson 63 Rolle’s Theorem and the Mean Value Theorem
Copyright © Cengage Learning. All rights reserved.
Lesson 4-QR Quiz 1 Review.
APPLICATIONS OF DIFFERENTIATION
Local Extrema & Mean Value Theorem
Mean Value & Rolle’s Theorems
3.2 Rolle’s Theorem and the
2.5 Continuity In this section, we will:
4.6 The Mean Value Theorem.
Copyright © Cengage Learning. All rights reserved.
Copyright © Cengage Learning. All rights reserved.
APPLICATIONS OF DIFFERENTIATION
Copyright © Cengage Learning. All rights reserved.
Maximum and Minimum Values
Applications of Differentiation 4 The Mean Value Theorem.
Copyright © Cengage Learning. All rights reserved.
Copyright © Cengage Learning. All rights reserved.
Rolle’s Theorem and the Mean Value Theorem
Copyright © Cengage Learning. All rights reserved.
Copyright © Cengage Learning. All rights reserved.
Presentation transcript:

Index FAQ Rolle and Mean Value Theorem

Index FAQ APPLICATIONS OF DIFFERENTIATION We will see that many of the results of this chapter depend on one central fact—the Mean Value Theorem.

Index FAQ ROLLE’S THEOREM Let f be a function that satisfies the following three hypotheses: 1. f is continuous on the closed interval [a, b] 2. f is differentiable on the open interval (a, b) 3. f(a) = f(b) Then, there is a number c in (a, b) such that f’(c) = 0.

Index FAQ The figures show the graphs of four such functions. ROLLE’S THEOREM

Index FAQ In each case, it appears there is at least one point (c, f(c)) on the graph where the tangent is horizontal and thus f’(c) = 0. ROLLE’S THEOREM

Index FAQ There are three cases: 1. f(x) = k, a constant 2. f(x) > f(a) for some x in (a, b) 3. f(x) < f(a) for some x in (a, b) ROLLE’S THEOREM Proof

Index FAQ f(x) = k, a constant Then, f ’(x) = 0. So, the number c can be taken to be any number in (a, b). Proof—Case 1 ROLLE’S THEOREM

Index FAQ As f(a) = f(b), it must attain this maximum value at a number c in the open interval (a, b). Then, f has a local maximum at c and, by hypothesis 2, f is differentiable at c. Thus, f ’(c) = 0 by Fermat’s Theorem. ROLLE’S THEOREM Proof—Case 2

Index FAQ f(x) < f(a) for some x in (a, b) By the Extreme Value Theorem, f has a minimum value in [a, b] and, since f(a) = f(b), it attains this minimum value at a number c in (a, b). Again, f ’(c) = 0 by ROLLE’S THEOREM Proof—Case 3

Index FAQ Let’s apply the theorem to the position function s = f(t) of a moving object. If the object is in the same place at two different instants t = a and t = b, then f(a) = f(b). The theorem states that there is some instant of time t = c between a and b when f ’(c) = 0; that is, the velocity is 0. In particular, you can see that this is true when a ball is thrown directly upward. Example 1 ROLLE’S THEOREM

Index FAQ MEAN VALUE THEOREM Let f be a function that fulfills two hypotheses: 1. f is continuous on the closed interval [a, b]. 2. f is differentiable on the open interval (a, b). Then, there is a number c in (a, b) such that or, equivalently,

Index FAQ MEAN VALUE THEOREM The figures show the points A(a, f(a)) and B(b, f(b)) on the graphs of two differentiable functions.

Index FAQ MEAN VALUE THEOREM The slope of the secant line AB is: Equation 3

Index FAQ MEAN VALUE THEOREM f ’(c) is the slope of the tangent line at (c, f(c)). So, the Mean Value Theorem—in the form given by Equation 1— states that there is at least one point P(c, f(c)) on the graph where the slope of the tangent line is the same as the slope of the secant line AB.

Index FAQ MEAN VALUE THEOREM In other words, there is a point P where the tangent line is parallel to the secant line AB.

Index FAQ PROOF We apply Rolle’s Theorem to a new function h defined as the difference between f and the function whose graph is the secant line AB.

Index FAQ Using Equation 3, we see that the equation of the line AB can be written as: or as: PROOF

Index FAQ MEAN VALUE THEOREM, Equation 4

Index FAQ First, we must verify that h satisfies the three hypotheses of Rolle’s Theorem— as follows. MEAN VALUE THEOREM

Index FAQ HYPOTHESIS 1 The function h is continuous on [a, b] because it is the sum of f and a first- degree polynomial, both of which are continuous.

Index FAQ

Index FAQ Therefore, h(a) = h(b). HYPOTHESIS 3

Index FAQ MEAN VALUE THEOREM As h satisfies the hypotheses of Rolle’s Theorem, that theorem states there is a number c in (a, b) such that h’(c) = 0.

Index FAQ MEAN VALUE THEOREM To illustrate the Mean Value Theorem with a specific function, let’s consider f(x) = x 3 – x, a = 0, b = 2. Example 3

Index FAQ MEAN VALUE THEOREM Since f is a polynomial, it is continuous and differentiable for all x. So, it is certainly continuous on [0, 2] and differentiable on (0, 2). Therefore, by the Mean Value Theorem, there is a number c in (0,2) such that: f(2) – f(0) = f ’(c)(2 – 0) Example 3

Index FAQ Now, f(2) = 6, f(0) = 0, and f ’(x) = 3x 2 – 1. So, this equation becomes 6 = (3c 2 – 1) 2 = 6c 2 – 2 This gives c 2 =, that is, c = However, c must lie in (0, 2), so c = MEAN VALUE THEOREM Example 3

Index FAQ MEAN VALUE THEOREM The figure illustrates this calculation. The tangent line at this value of c is parallel to the secant line OB. Example 3

Index FAQ MEAN VALUE THEOREM If an object moves in a straight line with position function s = f(t), then the average velocity between t = a and t = b is and the velocity at t = c is f ’(c). Example 4

Index FAQ MEAN VALUE THEOREM Thus, the Mean Value Theorem—in the form of Equation 1—tells us that, at some time t = c between a and b, the instantaneous velocity f ’(c) is equal to that average velocity. For instance, if a car traveled 180 km in 2 hours, the speedometer must have read 90 km/h at least once. Example 4

Index FAQ MEAN VALUE THEOREM In general, the Mean Value Theorem can be interpreted as saying that there is a number at which the instantaneous rate of change is equal to the average rate of change over an interval. Example 4

Index FAQ MEAN VALUE THEOREM The main significance of the Mean Value Theorem is that it enables us to obtain information about a function from information about its derivative. The next example provides an instance of this principle.

Index FAQ MEAN VALUE THEOREM Suppose that f(0) = -3 and f ’(x) ≤ 5 for all values of x. How large can f(2) possibly be? Example 5

Index FAQ MEAN VALUE THEOREM We are given that f is differentiable—and therefore continuous—everywhere. In particular, we can apply the Mean Value Theorem on the interval [0, 2]. There exists a number c such that f(2) – f(0) = f ’(c)(2 – 0) So, f(2) = f(0) + 2 f ’(c) = – f ’(c) Example 5

Index FAQ MEAN VALUE THEOREM We are given that f ’(x) ≤ 5 for all x. So, in particular, we know that f ’(c) ≤ 5. Multiplying both sides of this inequality by 2, we have 2 f ’(c) ≤ 10. So, f(2) = – f ’(c) ≤ – = 7 The largest possible value for f(2) is 7. Example 5

Index FAQ MEAN VALUE THEOREM The Mean Value Theorem can be used to establish some of the basic facts of differential calculus. One of these basic facts is the following theorem. Others will be found in the following sections.

Index FAQ MEAN VALUE THEOREM If f ’(x) = 0 for all x in an interval (a, b), then f is constant on (a, b). Theorem 5

Index FAQ 37 Indeterminate Forms and L’Hospital’s Rule

Index FAQ L’Hospital’s Rule Suppose f and g are differentiable functions and g'(x) ≠ 0 near a (except possibly at a). Suppose that or that Then if the limit on the right side exists (or is ±∞).

Index FAQ In simpler terms, if after substituting in a, Then if the limit on the right side exists (or is ±∞). L’Hospital’s Rule

Index FAQ PROOF of L’Hospital’s Rule if f(a)=g(a)=0

Index FAQ Indeterminate Forms 1.0 / 0 or ±∞ / ±∞ Strategy: Apply L’Hospital’s Rule Directly 2.0 · ±∞ Strategy: Apply L’Hospital’s Rule to

Index FAQ 3.±∞ - ±∞ Strategy: Try factoring, rationalizing, finding common denominator, etc. to get into form 1 above or ∞ 0 or 1 ∞ Strategy: Use a method similar to logarithmic differentiation. That is, take the natural log of both sides then compute the limit. Remember to solve for y again at the end. Indeterminate Forms

Index FAQ Examples for LH

Index FAQ Examples for LH