More On Exponential Functions, Inverse Functions and Derivative Consequences

Similar documents
Defining Exponential Functions and Exponential Derivatives and Integrals

Lecture 3. Lecturer: Prof. Sergei Fedotov Calculus and Vectors. Exponential and logarithmic functions

The First Derivative and Second Derivative Test

The First Derivative and Second Derivative Test

Geometric Series and the Ratio and Root Test

Exponential functions are defined and for all real numbers.

Geometric Series and the Ratio and Root Test

Section 6.1: Composite Functions

Dirchlet s Function and Limit and Continuity Arguments

Antiderivatives! Outline. James K. Peterson. January 28, Antiderivatives. Simple Fractional Power Antiderivatives

Sin, Cos and All That

Dirchlet s Function and Limit and Continuity Arguments

University of Connecticut Department of Mathematics

Antiderivatives! James K. Peterson. January 28, Department of Biological Sciences and Department of Mathematical Sciences Clemson University

Upper and Lower Bounds

Determine whether the formula determines y as a function of x. If not, explain. Is there a way to look at a graph and determine if it's a function?

Mathematical Induction Again

Aim: How do we prepare for AP Problems on limits, continuity and differentiability? f (x)

Derivatives and the Product Rule

Mathematical Induction Again

Math 473: Practice Problems for Test 1, Fall 2011, SOLUTIONS

INTERNET MAT 117. Solution for the Review Problems. (1) Let us consider the circle with equation. x 2 + 2x + y 2 + 3y = 3 4. (x + 1) 2 + (y + 3 2

Section Properties of Rational Expressions

PRACTICE PROBLEMS FOR MIDTERM I

Taylor Polynomials. James K. Peterson. Department of Biological Sciences and Department of Mathematical Sciences Clemson University

1.2 Functions and Their Properties Name:

Uniform Convergence Examples

Predator - Prey Model Trajectories and the nonlinear conservation law

A function is actually a simple concept; if it were not, history would have replaced it with a simpler one by now! Here is the definition:

Unit 2 Rational Functionals Exercises MHF 4UI Page 1

Math 115 Spring 11 Written Homework 10 Solutions

2 Recollection of elementary functions. II

7.4* General logarithmic and exponential functions

4.1 Exponential Functions

f(x) = 2x + 5 3x 1. f 1 (x) = x + 5 3x 2. f(x) = 102x x

Function Composition and Chain Rules

AP Calculus Summer Packet

Monday, 6 th October 2008

Linear Systems of ODE: Nullclines, Eigenvector lines and trajectories

2.6. Graphs of Rational Functions. Copyright 2011 Pearson, Inc.

Announcements. Topics: Homework:

Lecture 3 (Limits and Derivatives)

PRACTICE FINAL , FALL What will NOT be on the final

Uniform Convergence Examples

Rational Functions. A rational function is a function that is a ratio of 2 polynomials (in reduced form), e.g.

CH 2: Limits and Derivatives

Linear Systems of ODE: Nullclines, Eigenvector lines and trajectories

Chapter 3 Differentiation Rules

Sin, Cos and All That

Predator - Prey Model Trajectories are periodic

arb where a A, b B and we say a is related to b. Howdowewritea is not related to b? 2Rw 1Ro A B = {(a, b) a A, b B}

Midterm Study Guide and Practice Problems

e y [cos(x) + i sin(x)] e y [cos(x) i sin(x)] ] sin(x) + ey e y x = nπ for n = 0, ±1, ±2,... cos(nπ) = ey e y 0 = ey e y sin(z) = 0,

The plot shows the graph of the function f (x). Determine the quantities.

Hölder s and Minkowski s Inequality

Homework 6. (x 3) 2 + (y 1) 2 = 25. (x 5) 2 + (y + 2) 2 = 49

Calculus I Sample Exam #01

Power Series. Part 2 Differentiation & Integration; Multiplication of Power Series. J. Gonzalez-Zugasti, University of Massachusetts - Lowell

Exponential Functions:

Things you should have learned in Calculus II

Section 4.2: The Mean Value Theorem

Solving Exponential Equations

CALCULUS II MATH Dr. Hyunju Ban

Solutions: Homework 8

LIMITS AT INFINITY MR. VELAZQUEZ AP CALCULUS

More Protein Synthesis and a Model for Protein Transcription Error Rates

King Fahd University of Petroleum and Minerals Prep-Year Math Program Math Term 161 Recitation (R1, R2)

Getting Started With The Predator - Prey Model: Nullclines

MAT100 OVERVIEW OF CONTENTS AND SAMPLE PROBLEMS

Predator - Prey Model Trajectories are periodic

AP Calculus AB Summer Assignment

Week 1: need to know. November 14, / 20

Calculus (Math 1A) Lecture 5

Friday 09/15/2017 Midterm I 50 minutes

Consequences of Continuity

GUIDED NOTES 2.2 LINEAR EQUATIONS IN ONE VARIABLE

Semester Review Packet

INTERNET MAT 117 Review Problems. (1) Let us consider the circle with equation. (b) Find the center and the radius of the circle given above.

A Simple Protein Synthesis Model

Composition of Functions

Lower semicontinuous and Convex Functions

Without fully opening the exam, check that you have pages 1 through 12.

7.1 Exponential Functions

Analyzing Power Series using Computer Algebra and Precalculus Techniques

The SIR Disease Model Trajectories and MatLab

False. 1 is a number, the other expressions are invalid.

3 Polynomial and Rational Functions

Math 163: Lecture notes

Study guide for the Math 115 final Fall 2012

CHAPTER 1. DIFFERENTIATION 18. As x 1, f(x). At last! We are now in a position to sketch the curve; see Figure 1.4.

AP Calculus Chapter 3 Testbank (Mr. Surowski)

AP Calculus Summer Homework

Since x + we get x² + 2x = 4, or simplifying it, x² = 4. Therefore, x² + = 4 2 = 2. Ans. (C)

Project Two. Outline. James K. Peterson. March 27, Cooling Models. Estimating the Cooling Rate k. Typical Cooling Project Matlab Session

Lecture 10. (2) Functions of two variables. Partial derivatives. Dan Nichols February 27, 2018

YOU CAN BACK SUBSTITUTE TO ANY OF THE PREVIOUS EQUATIONS

Project Two. James K. Peterson. March 26, Department of Biological Sciences and Department of Mathematical Sciences Clemson University

Chapter 5 Integrals. 5.1 Areas and Distances

Review Guideline for Final

Chapter 3 Differentiation Rules (continued)

Transcription:

More On Exponential Functions, Inverse Functions and Derivative Consequences James K. Peterson Department of Biological Sciences and Department of Mathematical Sciences Clemson University January 10, 2019

Outline 1 2 Inverse Functions

Let s look at one more law for exponential functions. Let r be any real number and let (r n = p n /q n ) be any sequence of rational numbers that converge to r. Then we know since e x is a continuous function e rx = lim k e r k x. Next, consider ( ( lim(e x ) r k = lim lim 1 + x ) n ) rk ( = lim 1 + k k n n k (limn x ) rk n) n Now let m = r k n which implies lim k (e x ) r k = lim k ( lim m ( 1 + r kx m ) m ) = lim e r k x k These two limits are the same and so e rx = (e x ) r. Hence, we can extend the law e rx = (e x ) r for r Q to the irrationals by defining (e x ) r lim n (e x ) pn/qn. The value we get does not depend on the sequence (r n ) we choose. So this is a well-defined value.

Summarizing, for all x, y and r e x+y = e x e y

Summarizing, for all x, y and r e x+y = e x e y e x e x = 1 e x = 1/e x.

Summarizing, for all x, y and r e x+y = e x e y e x e x = 1 e x = 1/e x. e x y = e x e y = e x /e y

Summarizing, for all x, y and r e x+y = e x e y e x e x = 1 e x = 1/e x. e x y = e x e y = e x /e y (e x ) r = e rx.

Summarizing, for all x, y and r e x+y = e x e y e x e x = 1 e x = 1/e x. e x y = e x e y = e x /e y (e x ) r = e rx. e x is continuous and (e x ) = e x.

Summarizing, for all x, y and r e x+y = e x e y e x e x = 1 e x = 1/e x. e x y = e x e y = e x /e y (e x ) r = e rx. e x is continuous and (e x ) = e x. Since e n as n, lim x e x =.

Summarizing, for all x, y and r e x+y = e x e y e x e x = 1 e x = 1/e x. e x y = e x e y = e x /e y (e x ) r = e rx. e x is continuous and (e x ) = e x. Since e n as n, lim x e x =. Since lim n e n = 0, lim x e x = 0; 0 is a horizontal asymptote.

Summarizing, for all x, y and r e x+y = e x e y e x e x = 1 e x = 1/e x. e x y = e x e y = e x /e y (e x ) r = e rx. e x is continuous and (e x ) = e x. Since e n as n, lim x e x =. Since lim n e n = 0, lim x e x = 0; 0 is a horizontal asymptote. e x 0 ever. If it was, lim n (1 + x/n) n = 0. Then for n sufficiently large, we have (1 + x/n) n < 1/2 n. Then 1 + x/n < 1/2. Letting n, we have 1 1/2 which is impossible. Hence, e x 0 ever!

Thus, if x < 0, e x = lim n (1 x/n) n and for n sufficiently large, 1 x/n > 0 implying e x 0. It is clear e x 0 if x 0, so e x 0 for all x. If f (p) > 0 this means f in increasing locally. The proof is simple. We already know if lim x p f (x) = L > 0, then there is a radius f (x) f (p) r > 0 so that f (x) > L/2 > 0 if x B r (p). Let g(x) = x p, Then since lim x p g(x) = f (p) > 0, there is an r > 0 so that f (x) f (p) x p > f (p)/2 > 0. So f (x) f (p) > 0 if p < x < p + r which tells us f is increasing locally.

Thus, if x < 0, e x = lim n (1 x/n) n and for n sufficiently large, 1 x/n > 0 implying e x 0. It is clear e x 0 if x 0, so e x 0 for all x. If f (p) > 0 this means f in increasing locally. The proof is simple. We already know if lim x p f (x) = L > 0, then there is a radius f (x) f (p) r > 0 so that f (x) > L/2 > 0 if x B r (p). Let g(x) = x p, Then since lim x p g(x) = f (p) > 0, there is an r > 0 so that f (x) f (p) x p > f (p)/2 > 0. So f (x) f (p) > 0 if p < x < p + r which tells us f is increasing locally. (e x ) = e x > 0 always and e x > 0 always. So e x is always increasing and so e x is a 1-1 and onto function from its domain (, ) to its range (0, ).

Thus, if x < 0, e x = lim n (1 x/n) n and for n sufficiently large, 1 x/n > 0 implying e x 0. It is clear e x 0 if x 0, so e x 0 for all x. If f (p) > 0 this means f in increasing locally. The proof is simple. We already know if lim x p f (x) = L > 0, then there is a radius f (x) f (p) r > 0 so that f (x) > L/2 > 0 if x B r (p). Let g(x) = x p, Then since lim x p g(x) = f (p) > 0, there is an r > 0 so that f (x) f (p) x p > f (p)/2 > 0. So f (x) f (p) > 0 if p < x < p + r which tells us f is increasing locally. (e x ) = e x > 0 always and e x > 0 always. So e x is always increasing and so e x is a 1-1 and onto function from its domain (, ) to its range (0, ). Also since e x = 1/e x we see e x can never be zero.

Thus, if x < 0, e x = lim n (1 x/n) n and for n sufficiently large, 1 x/n > 0 implying e x 0. It is clear e x 0 if x 0, so e x 0 for all x. If f (p) > 0 this means f in increasing locally. The proof is simple. We already know if lim x p f (x) = L > 0, then there is a radius f (x) f (p) r > 0 so that f (x) > L/2 > 0 if x B r (p). Let g(x) = x p, Then since lim x p g(x) = f (p) > 0, there is an r > 0 so that f (x) f (p) x p > f (p)/2 > 0. So f (x) f (p) > 0 if p < x < p + r which tells us f is increasing locally. (e x ) = e x > 0 always and e x > 0 always. So e x is always increasing and so e x is a 1-1 and onto function from its domain (, ) to its range (0, ). Also since e x = 1/e x we see e x can never be zero. So f (x) = e x has an inverse function g(x) where g : (0, ) (, ) with the properties f (g(x)) = x for x (0, ) and g(f (x)) = x for x (, ).

Inverse Functions Let s backup and talk about the idea of an inverse function. Say we have a function y = f (x) like y = x 3. Take the cube root of each side to get x = y 1/3. Just for fun, let g(x) = x 1/3 ; i.e., we switched the role of x and y in the equation x = y 1/3.

Inverse Functions Let s backup and talk about the idea of an inverse function. Say we have a function y = f (x) like y = x 3. Take the cube root of each side to get x = y 1/3. Just for fun, let g(x) = x 1/3 ; i.e., we switched the role of x and y in the equation x = y 1/3. Now note some interesting things: f (g(x)) = f (x 1/3 ) = g(f (x)) = g(x 3 ) = ( x 1/3 ) 3 = x ( x 3 ) 1/3 = x.

Inverse Functions Now the function I (x) = x is called the identity because it takes an x as an input and does nothing to it. The output value is still x. So we have f (g) = I and g(f ) = I. When this happens, the function g is called the inverse of f and is denoted by the special symbol f 1.

Inverse Functions Now the function I (x) = x is called the identity because it takes an x as an input and does nothing to it. The output value is still x. So we have f (g) = I and g(f ) = I. When this happens, the function g is called the inverse of f and is denoted by the special symbol f 1. Of course, the same is true going the other way: f is the inverse of g and could be denoted by g 1. Another more abstract way of saying this is f 1 (x) = y f (y) = x.

Inverse Functions Now look at next Figure. We draw the function x 3 and its inverse x 1/3 in the unit square. We also draw the identity there which is just the graph of y = x; i.e. a line with slope 1.

Inverse Functions Now look at next Figure. We draw the function x 3 and its inverse x 1/3 in the unit square. We also draw the identity there which is just the graph of y = x; i.e. a line with slope 1. If you take the point (1/2, 1/8) on the graph of x 3 and draw a line from it to the inverse point (1/8, 1/2) you ll note that this line is perpendicular to the line of the identity. This will always be true with a graph of a function and its inverse.

Inverse Functions Now look at next Figure. We draw the function x 3 and its inverse x 1/3 in the unit square. We also draw the identity there which is just the graph of y = x; i.e. a line with slope 1. If you take the point (1/2, 1/8) on the graph of x 3 and draw a line from it to the inverse point (1/8, 1/2) you ll note that this line is perpendicular to the line of the identity. This will always be true with a graph of a function and its inverse. Now also note that x 3 has a positive derivative always and so is always increasing. It seems reasonable that if we had a function whose derivative was positive all the time, we could do this same thing. We could take a point on that function s graph, say (c, d), reverse the coordinates to (d, c) and the line connecting those two pairs would be perpendicular to the identity line just like in our figure. So we have a geometric procedure to define the inverse of any function that is always increasing.

Inverse Functions

Inverse Functions Example Find the inverse of y = tanh(x). Solution Hence, y = tanh(x) = sinh(x)/ cosh(x) = ex e x e x + e x = e2x 1 e 2x + 1 (e 2x + 1) y = e 2x 1 = e 2x (y 1) = 1 y = e 2x = 1 + y 1 y = x = 1 2 ln ( 1 + y 1 y )

Inverse Functions Homework 29 29.1 The hyperbolic trigonmetric functions are defined using sinh(x) = (e x e x )/2 and cosh(x) = (e x + e x )/2 and then defining the other four in the usual way. Find the derivatives of all 6 of these functions and graph all of them carefully. 29.2 Let y = 0.5( 1 + tanh((x O)/G) ) for a positive G. Find the inverse of this function and graph both this function and its inverse. 29.3 We say f satisfies a Lipschitz condition of order p on the interval I if there is a positive constant L so that f (y) f (x) L y x p. (1) Prove if f is Lipschitz of order 1 on I, f is continuous on I. (2) Prove if f is Lipschitz of order 2 on I, f is a constant. Hint: look at f (y) f (x) / y x and see what happens as y x.