Mean Value Theorem. Increasing Functions Extreme Values of Functions Rolle s Theorem Mean Value Theorem FAQ. Index

Similar documents
Lesson 59 Rolle s Theorem and the Mean Value Theorem

Section 4.2 The Mean Value Theorem

Section 4.2: The Mean Value Theorem

[ ] with end points at ( a,f(a) ) and b,f(b)

Math 131. Rolle s and Mean Value Theorems Larson Section 3.2

Intermediate Value Theorem

The Mean Value Theorem and its Applications

Homework for Section 1.4, Continuity and One sided Limits. Study 1.4, # 1 21, 27, 31, 37 41, 45 53, 61, 69, 87, 91, 93. Class Notes: Prof. G.

MATH 409 Advanced Calculus I Lecture 16: Mean value theorem. Taylor s formula.

Limits, Continuity, and the Derivative

Linearization and Extreme Values of Functions

Section 3.7. Rolle s Theorem and the Mean Value Theorem

Mean Value Theorem. MATH 161 Calculus I. J. Robert Buchanan. Summer Department of Mathematics

Kevin James. MTHSC 102 Section 4.3 Absolute Extreme Points

Section 2.9 The Mean Value Theorem

1 Lecture 25: Extreme values

Mean Value Theorem. MATH 161 Calculus I. J. Robert Buchanan. Summer Department of Mathematics

A secant line is a line drawn through two points on a curve. The Mean Value Theorem relates the slope of a secant line to the slope of a tangent line.

Taylor and Maclaurin Series. Approximating functions using Polynomials.

Calculus The Mean Value Theorem October 22, 2018

Taylor and Maclaurin Series. Approximating functions using Polynomials.

Continuity. MATH 161 Calculus I. J. Robert Buchanan. Fall Department of Mathematics

The Mean Value Theorem Rolle s Theorem

DRAFT - Math 101 Lecture Note - Dr. Said Algarni

CH 2: Limits and Derivatives

Inverse Functions. N as a function of t. Table 1

4. We accept without proofs that the following functions are differentiable: (e x ) = e x, sin x = cos x, cos x = sin x, log (x) = 1 sin x

Induction, sequences, limits and continuity

Math 141: Section 4.1 Extreme Values of Functions - Notes

Derivatives and Shapes of Curves

MATH 151 Engineering Mathematics I

Kevin James. MTHSC 102 Section 4.2 Relative Extreme Points

Continuity. To handle complicated functions, particularly those for which we have a reasonable formula or formulas, we need a more precise definition.

Since the two-sided limits exist, so do all one-sided limits. In particular:

Jim Lambers MAT 460 Fall Semester Lecture 2 Notes

Math 117: Honours Calculus I Fall, 2012 List of Theorems. a n k b k. k. Theorem 2.1 (Convergent Bounded): A convergent sequence is bounded.

Math 117: Honours Calculus I Fall, 2002 List of Theorems. a n k b k. k. Theorem 2.1 (Convergent Bounded) A convergent sequence is bounded.

Test 3 Review. y f(a) = f (a)(x a) y = f (a)(x a) + f(a) L(x) = f (a)(x a) + f(a)

Do now as a warm up: Is there some number a, such that this limit exists? If so, find the value of a and find the limit. If not, explain why not.

Final Examination 201-NYA-05 May 18, 2018

Math 131. The Derivative and the Tangent Line Problem Larson Section 2.1

Math Essentials of Calculus by James Stewart Prepared by Jason Gaddis

Shape of a curve. Nov 15, 2016

MATH 151 Engineering Mathematics I

The Intermediate Value Theorem If a function f (x) is continuous in the closed interval [ a,b] then [ ]

3.Applications of Differentiation

Sections 4.1 & 4.2: Using the Derivative to Analyze Functions

MATH 151 Engineering Mathematics I

MATH 151 Engineering Mathematics I

Applications of Derivatives

V. Graph Sketching and Max-Min Problems

f(x) f(c) is the limit of numbers less than or equal to 0 and therefore can t be positive. It follows that

Chapter 2. Limits and Continuity. 2.1 Rates of change and Tangents to Curves. The average Rate of change of y = f(x) with respect to x over the

AP Calculus AB. Chapter IV Lesson B. Curve Sketching

Section 1.4 Tangents and Velocity

The Mean Value Theorem

MAT01B1: the Mean Value Theorem

2.4 The Precise Definition of a Limit

10/9/10. The line x = a is a vertical asymptote of the graph of a function y = f(x) if either. Definitions and Theorems.

MAT137 Calculus! Lecture 10

Math 1120 Calculus, sections 3 and 10 Test 1

Calculus 1 Math 151 Week 10 Rob Rahm. Theorem 1.1. Rolle s Theorem. Let f be a function that satisfies the following three hypotheses:

Chapter 1: Limits and Continuity

Caculus 221. Possible questions for Exam II. March 19, 2002

Math Section Bekki George: 08/28/18. University of Houston. Bekki George (UH) Math /28/18 1 / 37

Maximum and Minimum Values (4.2)

Optimization Notes. Note: Any material in red you will need to have memorized verbatim (more or less) for tests, quizzes, and the final exam.

1 What is numerical analysis and scientific computing?

What is on today. 1 Linear approximation. MA 123 (Calculus I) Lecture 17: November 2, 2017 Section A2. Professor Jennifer Balakrishnan,

Math 132 Mean Value Theorem Stewart 3.2

Continuity, Intermediate Value Theorem (2.4)

MATH 409 Advanced Calculus I Lecture 11: More on continuous functions.

MAT01B1: the Mean Value Theorem

The function graphed below is continuous everywhere. The function graphed below is NOT continuous everywhere, it is discontinuous at x 2 and

Calculus I Exam 1 Review Fall 2016

Discrete dynamics on the real line

WEEK 8. CURVE SKETCHING. 1. Concavity

Functions. Chapter Continuous Functions

University of Toronto MAT137Y1 Calculus! Test 2 1 December 2017 Time: 110 minutes

The Mean Value Theorem and the Extended Mean Value Theorem

MATH 409 Advanced Calculus I Lecture 10: Continuity. Properties of continuous functions.

3.5: Issues in Curve Sketching

f ', the first derivative of a differentiable function, f. Use the

PTF #AB 21 Mean Value Theorem & Rolle s Theorem

Section 2.6: Continuity

Consequences of Continuity and Differentiability

1.10 Continuity Brian E. Veitch

Figure 1: Graph of y = x cos(x)

MTH4100 Calculus I. Week 8 (Thomas Calculus Sections 4.1 to 4.4) Rainer Klages. School of Mathematical Sciences Queen Mary, University of London

Formulas that must be memorized:

Mathematics Lecture. 6 Chapter. 4 APPLICATIONS OF DERIVATIVES. By Dr. Mohammed Ramidh

On Additive Polynomials

Homework 4 Solutions, 2/2/7

November 13, 2018 MAT186 Week 8 Justin Ko

Math 320: Real Analysis MWF 1pm, Campion Hall 302 Homework 8 Solutions Please write neatly, and in complete sentences when possible.

THS Step By Step Calculus Chapter 1

2.1 The Tangent and Velocity Problems

Calculus I. 1. Limits and Continuity

GUIDED NOTES 4.1 LINEAR FUNCTIONS

MATH 2053 Calculus I Review for the Final Exam

Transcription:

Mean Value Increasing Functions Extreme Values of Functions Rolle s Mean Value

Increasing Functions (1) Assume that the function f is everywhere increasing and differentiable. ( x + h) f( x) f Then h 0 : > 0. It follows that f ( x) = lim f ( x) 0. h h This follows from the fact that f is increasing. Differentiability implies that the limit exists. Assume that the function f is differentiable at a point ( x0 ) ( ) ( ) ( ) ( ) f > 0. Then δ > 0 such that 1) f x > f x for x < x < x + δ, and 0 0 0 2) f x < f x for x δ < x < x. 0 0 0 x 0

Increasing Functions (2) Assume f > 0. δ > 0 such that ( x0 ) ( ) ( ) ( ) ( ) Proof 1) f x > f x for x < x < x + δ, and 0 0 0 2) f x < f x for x δ < x < x. ( x ) 0 0 0 By the definition of the derivative and using the fact that f > 0: δ > 0 such that 0 ( x) f( x ) f 0 0 < x x < δ ( ) < 0 f x0 f ( x0). x x 0 ( x) f( x ) f 0 Hence 0 < x x0 < δ > 0. x x0 x x ( x) ( ) This implies that if is positive, then also f f x is positive 0 0 proving the first statement. The second statement follows similarly.

Local Extreme Values Definition A point x 1 in the open interval (a,b) is a local maximum of the function f if, for values of x near the point p, f(x) f(x 1 ). A point x 2 in the open interval (a,b) is a local minimum of the function f if, for values of x near the point p, f(x) f(x 2 ). By a local extreme point of a function we mean either a local maximum or a local minimum. Values of a function at its extreme points are called extreme values. In the figure on the right, the point x 1 is a local maximum and the point x 2 a local minimum of the function f. a x 1 x 2 f b

Criteria for Local Extreme Values Let f be a function which is continuous on the closed interval [a,b] and differentiable on the open interval (a,b). If c (a,b) is a local maximum or a local minimum of the function f, then the derivative of f vanishes at the point c, i.e. f (c)=0. Proof Assume that c (a,b) is a local maximum or a local minimum of the function f. If f (c) > 0, then, by the previous, near the number c and on the right hand side of c, the function f takes values that are larger than f(c). On the left hand side of the number c the function takes values which are smaller than f(c). Hence c cannot be a local extreme value. In the same way we see that f (c) cannot be negative. We conclude that f (c) = 0.

Extreme Values of Continuous Functions A function f which is continuous on a closed interval [a,b] takes its maximum and minimum values on [a,b]. We will not prove the result here. By geometric arguments the result appears plausible, and a rigorous proof uses arguments related to those used in the proof of the Intermediate Value for Continuous Functions.

Finding the Extreme Values Let f be a function which is continuous on the closed interval [a,b] and differentiable on the open interval (a,b). To find the extreme values of f on the interval [a,b], perform the following steps: 1. Compute the derivative of the function f. 2. Find the zeros of the derivative in the interval (a,b). 3. Compute the values of f at the zeros of the derivative and at the end-points a and b. 4. Among these computed values, choose the largest and the smallest. These are the extreme values of the function f.

Rolle s Let f be a function which satisfying: 1. f is continuous on the closed interval [a,b], 2. f is differentiable on the open interval (a,b), and 3. f(a)=f(b). Then there is a point c (a,b) such that the derivative of f vanishes at the point c, i.e., f (c) = 0. Rolle s Graphically Rolle s states that, if f(a) = f(b), then there is a point c between a and b such that the tangent of the graph of f at (c,f(c)) is horizontal. a c b

Rolle s Proof Let f be a function which satisfies the following conditions 1. f is continuous on the closed interval [a,b], 2. f is differentiable on the open interval (a,b), and 3. f(a)=f(b). Then there is a point c (a,b) such that the derivative of f vanishes at the point c, i.e., f (c) = 0. If f(x)=f(a)=f(b) for all x between a and b, then f is a constant function, and the derivative of f vanishes for all x, and we can take c to be any point between a and b.

Rolle s Assume that f is continuous on [a,b] an differentiable on (a,b), and f(a)=f(b). Then there is a point c (a,b) such that f (c) = 0. Proof (cont d) If f is not a constant function, then either its maximum on [a,b] is greater than f(a) or its minimum is smaller than f(a). Assume that the maximum of f on [a,b] is greater than f(a). Then, since f(b) = f(a), f takes its maximum at a point c (a,b). By the Criteria for Local Extreme Values, we conclude that f (c) = 0. If the maximum of f on [a,b] is not creater than f(a), then the minium is smaller. And one can apply the Criteria for Local Extreme Values to the minimum of f to conclude the existence of c.

The Mean Value Let f be a function which satisfying: 1. f is continuous on the closed interval [a,b], and 2. f is differentiable on the open interval (a,b). There is a point c, a c b, such that f (c) = (f(b) f(a))/(b a), i.e., f(b) f(a) = f (c)(b a). Mean Value Graphically The Mean Value states that between a and b there is a point c such that the tangent of the graph of f at (c, f(c)) is parallel to the line passing through (a,f(a)) and (b,f(b)). a c b

The Mean Value Proof Let f be a function which satisfies the following conditions 1. f is continuous on the closed interval [a,b], and 2. f is differentiable on the open interval (a,b). ( a b) ( b) f( a) Then there is a point c, such that f f ( c) =. b a This condition can be expressed equivalently as ( b) ( a) = ( c)( b a) f f f. Apply Rolle s to the function g ( x) = f( x) + ( x a) f ( a) f( b) b a

Corollary of the Mean Value Assume that the functions f and g are ( x) = ( x) x ( a b) If f g for all,, then ( ab) continous on [ ab, ] and differentiable on,. f g is a constant function. Proof Apply the Mean Value to the function h = f g. ( ) ( x ) ( x ) = ( c)( x x ) x and x, a x < x b, c x, x such that 1 2 1 2 1 2 h h h. 2 1 2 1 Since h (c) = 0 by the assumptions and by the definition of the function h, h(x 2 ) = h(x 1 ), i.e., h is a constant function.

Increasing Functions Assume that the function f is everywhere differentiable ( ab) x ( ab) ( x) ( ab) on an open interval,, and that, :f > 0. Then f is increasing on,. Proof Let x 1 < x 2. We have to show that f(x 1 ) < f(x 2 ). c ( x1 x2) ( x ) ( x ) = ( c)( x x ) By the Mean Value, such that f f f. 2 1 2 1 By the assumptions, f (c) > 0. Hence also f (c)(x 2 x 1 ) > 0, i.e. f(x 2 ) f(x 1 ) >0. This means that f(x 1 ) < f(x 2 ).

Increasing Functions (2) Remark ( ) ( ) The condition " x a, b :f x > 0" of the previous theorem except for a finite number of values of x. ( x) can be slightly relaxed: it is enough that f > 0 for all y=x 3 Example ( x) ( ) 3 The function f = x is increasing 2 even though f x = 3x = 0 for x = 0. x

Decreasing Functions ( x) and that f < ( ab) ( ab) Assume that f is everywhere differentiable on, 0 for all x possibly excluding a finite number of values of x. Then the function f is decreasing on,. Proof Let g = f. Then the function f satisfies the conditions of the previous theorem, and g is increasing. Hence f is decreasing.