Strauss PDEs 2e: Section Exercise 6 Page 1 of 5

Size: px
Start display at page:

Download "Strauss PDEs 2e: Section Exercise 6 Page 1 of 5"

Transcription

1 Strauss PDEs 2e: Section Exercise 6 Page 1 of 5 Exercise 6 If a 0 = a l = a in the Robin problem, show that: (a) There are no negative eigenvalues if a 0, there is one if 2/l < a < 0, an there are two if a < 2/l. (b) Zero is an eigenvalue if an only if a = 0 or a = 2/l. Solution The eigenvalue problem to solve here is subject to the Robin bounary conitions, Part (a) X = λx X (0) ax(0) = 0 X (l) + ax(l) = 0. Suppose the eigenvalues are negative λ = γ 2. Then X = γ 2 X. The solution to this ifferential equation can be written in terms of hyperbolic sine an hyperbolic cosine. X(x) = C 1 cosh γx + C 2 sinh γx Apply the two bounary conitions here to etermine C 1 an C 2. X (0) ax(0) = γc 2 ac 1 = 0 X (l) + ax(l) = γ(c 1 sinh γl + C 2 cosh γl) + a(c 1 cosh γl + C 2 sinh γl) = 0 The first equation can be solve for C 2. C 2 = a γ C 1 Substitute this result into the secon equation. ( γ C 1 sinh γl + a ) ( γ C 1 cosh γl + a C 1 cosh γl + a ) γ C 1 sinh γl = 0 Divie both sies by γc 1 cosh γl. tanh γl + a γ + a γ + a2 tanh γl = 0 γ2 ) (1 + a2 γ 2 tanh γl = 2a γ (γ 2 + a 2 ) tanh γl = 2aγ

2 Strauss PDEs 2e: Section Exercise 6 Page 2 of 5 Divie both sies by γ 2 + a 2. tanh γl = 2aγ γ 2 + a 2 Let µ = γl in the equation to remove l from the argument of tanh. Then γ = µ/l. tanh µ = 2a µ l µ 2 l 2 + a 2 Multiply the numerator an enominator of the right sie by l 2 an group a an l together. Thus, the negative eigenvalues are λ = µ2 l 2, where µ satisfies tanh µ = µ 2 + (al) 2. The solutions to this transcenental equation occur where the graphs of these two functions intersect. If a = 0, then the equation simplifies to tanh µ = 0. To solve for µ, write tanh µ in terms of the exponential function. tanh µ = eµ e µ e µ + e µ = 0 eµ e µ = 0 e µ = e µ µ = 0 So there are no negative eigenvalues when a = 0. Suppose now that a > 0. Since tanh µ an /[µ 2 + (al) 2 ] are o functions of µ an λ is a function of µ 2, negative values of µ that satisfy the equation yiel reunant values of λ. The point is that only intersections for µ > 0 nee to be consiere. The hyperbolic tangent function is positive an the rational function is negative for µ > 0, so there are no intersections. Therefore, there are no eigenvalues for a 0. Figure 1: In blue is a plot of y = tanh µ, an in re is a plot of y = /[µ 2 + (al) 2 ]. There are no intersections for µ > 0, which means there are no negative eigenvalues.

3 Strauss PDEs 2e: Section Exercise 6 Page 3 of 5 Now we will show that there s one intersection (an hence one eigenvalue) if 2 < al < 0 an two intersections (an hence two eigenvalues) if al < 2. The erivative of tanh µ is (sech µ) 2, so tanh µ is an increasing function for all µ. Writing it in terms of exponentials, tanh µ = eµ e µ 1 e2µ e µ = + eµ 1 + e 2µ, we see that if µ = 0, then tanh µ = 0. In aition, as µ, tanh µ 1. Shifting our attention now to the rational function, the first erivative of it is (after simplifying) [ ] µ µ 2 + (al) 2 = 2(al)[µ2 (al) 2 ] [µ 2 + (al) 2 ] 2, which means the rational function is { increasing if µ < (al) ecreasing if µ > (al). The extrema occur when the first erivative is zero, that is, when µ = ±(al). µ 2 + (al) 2 = 1 (maximum) µ=(al) µ 2 + (al) 2 = 1 (minimum) µ=(al) The rational function goes to 1 at a finite value of µ unlike the hyperbolic tangent function. If the hyperbolic tangent function increases faster than the rational function initially, then there will be two intersections. If it oes not, then there will only be one intersection. [ µ (tanh µ) µ = 1 µ=0 ] µ 2 + (al) µ=0 2 = 2 al We see that if al > 2, or al < 2, then there are two intersections. If al < 2, or 2 < al < 0, then there is only one intersection. These ieas are illustrate in Figure 2 an Figure 3.

4 Strauss PDEs 2e: Section Exercise 6 Page 4 of 5 Figure 2: In blue is a plot of y = tanh µ an in re is a plot of y = /[µ 2 + (al) 2 ]. If 2 < al < 0, then the hyperbolic tangent function oes not increase faster than the rational function initially, an there is only one eigenvalue, λ 1. Figure 3: In blue is a plot of y = tanh µ an in re is a plot of y = /[µ 2 + (al) 2 ]. If al < 2, then the hyperbolic tangent function increases faster than the rational function initially, an there are two eigenvalues, λ 1 an λ 2.

5 Strauss PDEs 2e: Section Exercise 6 Page 5 of 5 Part (b) Suppose that λ = 0. Then the ifferential equation for X simplifies to X = 0, which has the general solution X(x) = C 3 x + C 4. Apply the bounary conitions here to etermine C 3 an C 4. X (0) ax(0) = C 3 ac 4 = 0 X (l) + ax(l) = C 3 + a(c 3 l + C 4 ) = 0 Solve the first equation for C 3 C 3 = ac 4 an plug it into the secon equation. ac 4 + a(ac 4 l + C 4 ) = 0 Divie both sies by C 4 an expan the left sie. a 2 l + 2a = 0 Factor a. a(al + 2) = 0 Therefore, zero is an eigenvalue if an only if a = 0 or al + 2 = 0, that is, a = 2/l.

UNIT NUMBER DIFFERENTIATION 7 (Inverse hyperbolic functions) A.J.Hobson

UNIT NUMBER DIFFERENTIATION 7 (Inverse hyperbolic functions) A.J.Hobson JUST THE MATHS UNIT NUMBER 0.7 DIFFERENTIATION 7 (Inverse hyperbolic functions) by A.J.Hobson 0.7. Summary of results 0.7.2 The erivative of an inverse hyperbolic sine 0.7.3 The erivative of an inverse

More information

10.7. DIFFERENTIATION 7 (Inverse hyperbolic functions) A.J.Hobson

10.7. DIFFERENTIATION 7 (Inverse hyperbolic functions) A.J.Hobson JUST THE MATHS SLIDES NUMBER 0.7 DIFFERENTIATION 7 (Inverse hyperbolic functions) by A.J.Hobson 0.7. Summary of results 0.7.2 The erivative of an inverse hyperbolic sine 0.7.3 The erivative of an inverse

More information

Strauss PDEs 2e: Section Exercise 4 Page 1 of 6

Strauss PDEs 2e: Section Exercise 4 Page 1 of 6 Strauss PDEs 2e: Section 5.3 - Exercise 4 Page of 6 Exercise 4 Consider the problem u t = ku xx for < x < l, with the boundary conditions u(, t) = U, u x (l, t) =, and the initial condition u(x, ) =, where

More information

Final Exam Study Guide and Practice Problems Solutions

Final Exam Study Guide and Practice Problems Solutions Final Exam Stuy Guie an Practice Problems Solutions Note: These problems are just some of the types of problems that might appear on the exam. However, to fully prepare for the exam, in aition to making

More information

Differentiation ( , 9.5)

Differentiation ( , 9.5) Chapter 2 Differentiation (8.1 8.3, 9.5) 2.1 Rate of Change (8.2.1 5) Recall that the equation of a straight line can be written as y = mx + c, where m is the slope or graient of the line, an c is the

More information

Chapter 5 Logarithmic, Exponential, and Other Transcendental Functions

Chapter 5 Logarithmic, Exponential, and Other Transcendental Functions Chapter 5 Logarithmic, Exponential, an Other Transcenental Functions 5.1 The Natural Logarithmic Function: Differentiation 5.2 The Natural Logarithmic Function: Integration 5.3 Inverse Functions 5.4 Exponential

More information

cosh x sinh x So writing t = tan(x/2) we have 6.4 Integration using tan(x/2) 2t 1 + t 2 cos x = 1 t2 sin x =

cosh x sinh x So writing t = tan(x/2) we have 6.4 Integration using tan(x/2) 2t 1 + t 2 cos x = 1 t2 sin x = 6.4 Integration using tan/ We will revisit the ouble angle ientities: sin = sin/ cos/ = tan/ sec / = tan/ + tan / cos = cos / sin / tan = = tan / sec / tan/ tan /. = tan / + tan / So writing t = tan/ we

More information

cosh x sinh x So writing t = tan(x/2) we have 6.4 Integration using tan(x/2) = 2 2t 1 + t 2 cos x = 1 t2 We will revisit the double angle identities:

cosh x sinh x So writing t = tan(x/2) we have 6.4 Integration using tan(x/2) = 2 2t 1 + t 2 cos x = 1 t2 We will revisit the double angle identities: 6.4 Integration using tanx/) We will revisit the ouble angle ientities: sin x = sinx/) cosx/) = tanx/) sec x/) = tanx/) + tan x/) cos x = cos x/) sin x/) tan x = = tan x/) sec x/) tanx/) tan x/). = tan

More information

Fall 2016: Calculus I Final

Fall 2016: Calculus I Final Answer the questions in the spaces provie on the question sheets. If you run out of room for an answer, continue on the back of the page. NO calculators or other electronic evices, books or notes are allowe

More information

Strauss PDEs 2e: Section Exercise 1 Page 1 of 7

Strauss PDEs 2e: Section Exercise 1 Page 1 of 7 Strauss PDEs 2e: Section 4.3 - Exercise 1 Page 1 of 7 Exercise 1 Find the eigenvaues graphicay for the boundary conditions X(0) = 0, X () + ax() = 0. Assume that a 0. Soution The aim here is to determine

More information

Chapter 3 Definitions and Theorems

Chapter 3 Definitions and Theorems Chapter 3 Definitions an Theorems (from 3.1) Definition of Tangent Line with slope of m If f is efine on an open interval containing c an the limit Δy lim Δx 0 Δx = lim f (c + Δx) f (c) = m Δx 0 Δx exists,

More information

Chapter 2 Derivatives

Chapter 2 Derivatives Chapter Derivatives Section. An Intuitive Introuction to Derivatives Consier a function: Slope function: Derivative, f ' For each, the slope of f is the height of f ' Where f has a horizontal tangent line,

More information

Review of Differentiation and Integration for Ordinary Differential Equations

Review of Differentiation and Integration for Ordinary Differential Equations Schreyer Fall 208 Review of Differentiation an Integration for Orinary Differential Equations In this course you will be expecte to be able to ifferentiate an integrate quickly an accurately. Many stuents

More information

Sturm-Liouville Theory

Sturm-Liouville Theory LECTURE 5 Sturm-Liouville Theory In the three preceing lectures I emonstrate the utility of Fourier series in solving PDE/BVPs. As we ll now see, Fourier series are just the tip of the iceberg of the theory

More information

Math 1A Midterm 2 Fall 2015 Riverside City College (Use this as a Review)

Math 1A Midterm 2 Fall 2015 Riverside City College (Use this as a Review) Name Date Miterm Score Overall Grae Math A Miterm 2 Fall 205 Riversie City College (Use this as a Review) Instructions: All work is to be shown, legible, simplifie an answers are to be boxe in the space

More information

L Hôpital s Rule was discovered by Bernoulli but written for the first time in a text by L Hôpital.

L Hôpital s Rule was discovered by Bernoulli but written for the first time in a text by L Hôpital. 7.5. Ineterminate Forms an L Hôpital s Rule L Hôpital s Rule was iscovere by Bernoulli but written for the first time in a text by L Hôpital. Ineterminate Forms 0/0 an / f(x) If f(x 0 ) = g(x 0 ) = 0,

More information

Define each term or concept.

Define each term or concept. Chapter Differentiation Course Number Section.1 The Derivative an the Tangent Line Problem Objective: In this lesson you learne how to fin the erivative of a function using the limit efinition an unerstan

More information

QF101: Quantitative Finance September 5, Week 3: Derivatives. Facilitator: Christopher Ting AY 2017/2018. f ( x + ) f(x) f(x) = lim

QF101: Quantitative Finance September 5, Week 3: Derivatives. Facilitator: Christopher Ting AY 2017/2018. f ( x + ) f(x) f(x) = lim QF101: Quantitative Finance September 5, 2017 Week 3: Derivatives Facilitator: Christopher Ting AY 2017/2018 I recoil with ismay an horror at this lamentable plague of functions which o not have erivatives.

More information

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x)

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x) Y. D. Chong (2016) MH2801: Complex Methos for the Sciences 1. Derivatives The erivative of a function f(x) is another function, efine in terms of a limiting expression: f (x) f (x) lim x δx 0 f(x + δx)

More information

ARAB ACADEMY FOR SCIENCE TECHNOLOGY AND MARITIME TRANSPORT

ARAB ACADEMY FOR SCIENCE TECHNOLOGY AND MARITIME TRANSPORT ARAB ACADEMY FOR SCIENCE TECHNOLOGY AND MARITIME TRANSPORT Course: Math For Engineering Winter 8 Lecture Notes By Dr. Mostafa Elogail Page Lecture [ Functions / Graphs of Rational Functions] Functions

More information

1 Lecture 20: Implicit differentiation

1 Lecture 20: Implicit differentiation Lecture 20: Implicit ifferentiation. Outline The technique of implicit ifferentiation Tangent lines to a circle Derivatives of inverse functions by implicit ifferentiation Examples.2 Implicit ifferentiation

More information

Section 2.1 The Derivative and the Tangent Line Problem

Section 2.1 The Derivative and the Tangent Line Problem Chapter 2 Differentiation Course Number Section 2.1 The Derivative an the Tangent Line Problem Objective: In this lesson you learne how to fin the erivative of a function using the limit efinition an unerstan

More information

Some functions and their derivatives

Some functions and their derivatives Chapter Some functions an their erivatives. Derivative of x n for integer n Recall, from eqn (.6), for y = f (x), Also recall that, for integer n, Hence, if y = x n then y x = lim δx 0 (a + b) n = a n

More information

Linear First-Order Equations

Linear First-Order Equations 5 Linear First-Orer Equations Linear first-orer ifferential equations make up another important class of ifferential equations that commonly arise in applications an are relatively easy to solve (in theory)

More information

Additional Exercises for Chapter 10

Additional Exercises for Chapter 10 Aitional Eercises for Chapter 0 About the Eponential an Logarithm Functions 6. Compute the area uner the graphs of i. f() =e over the interval [ 3, ]. ii. f() =e over the interval [, 4]. iii. f() = over

More information

23 Implicit differentiation

23 Implicit differentiation 23 Implicit ifferentiation 23.1 Statement The equation y = x 2 + 3x + 1 expresses a relationship between the quantities x an y. If a value of x is given, then a corresponing value of y is etermine. For

More information

DERIVATIVES: LAWS OF DIFFERENTIATION MR. VELAZQUEZ AP CALCULUS

DERIVATIVES: LAWS OF DIFFERENTIATION MR. VELAZQUEZ AP CALCULUS DERIVATIVES: LAWS OF DIFFERENTIATION MR. VELAZQUEZ AP CALCULUS THE DERIVATIVE AS A FUNCTION f x = lim h 0 f x + h f(x) h Last class we examine the limit of the ifference quotient at a specific x as h 0,

More information

Unit #6 - Families of Functions, Taylor Polynomials, l Hopital s Rule

Unit #6 - Families of Functions, Taylor Polynomials, l Hopital s Rule Unit # - Families of Functions, Taylor Polynomials, l Hopital s Rule Some problems an solutions selecte or aapte from Hughes-Hallett Calculus. Critical Points. Consier the function f) = 54 +. b) a) Fin

More information

Hyperbolic Functions. Notice: this material must not be used as a substitute for attending. the lectures

Hyperbolic Functions. Notice: this material must not be used as a substitute for attending. the lectures Hyperbolic Functions Notice: this material must not be use as a substitute for attening the lectures 0. Hyperbolic functions sinh an cosh The hyperbolic functions sinh (pronounce shine ) an cosh are efine

More information

Mathematics 116 HWK 25a Solutions 8.6 p610

Mathematics 116 HWK 25a Solutions 8.6 p610 Mathematics 6 HWK 5a Solutions 8.6 p6 Problem, 8.6, p6 Fin a power series representation for the function f() = etermine the interval of convergence. an Solution. Begin with the geometric series = + +

More information

UNIVERSITY OF CALIFORNIA - SANTA CRUZ DEPARTMENT OF PHYSICS PHYS 116C. Problem Set 2. Benjamin Stahl. October 22, d dx J 0(x) = J 1 (x) (1.

UNIVERSITY OF CALIFORNIA - SANTA CRUZ DEPARTMENT OF PHYSICS PHYS 116C. Problem Set 2. Benjamin Stahl. October 22, d dx J 0(x) = J 1 (x) (1. UNIVERSITY OF CALIFORNIA - SANTA CRUZ DEPARTMENT OF PHYSICS PHYS 6C Problem Set Benjamin Stahl October, 4 BOAS, P. 59, PROBLEM.-4 Using Equation.9 from Chapter of Boas, it will be shown that: Starting

More information

Implicit Differentiation. Lecture 16.

Implicit Differentiation. Lecture 16. Implicit Differentiation. Lecture 16. We are use to working only with functions that are efine explicitly. That is, ones like f(x) = 5x 3 + 7x x 2 + 1 or s(t) = e t5 3, in which the function is escribe

More information

Derivatives of Trigonometric Functions

Derivatives of Trigonometric Functions Derivatives of Trigonometric Functions 9-8-28 In this section, I ll iscuss its an erivatives of trig functions. I ll look at an important it rule first, because I ll use it in computing the erivative of

More information

d dx But have you ever seen a derivation of these results? We ll prove the first result below. cos h 1

d dx But have you ever seen a derivation of these results? We ll prove the first result below. cos h 1 Lecture 5 Some ifferentiation rules Trigonometric functions (Relevant section from Stewart, Seventh Eition: Section 3.3) You all know that sin = cos cos = sin. () But have you ever seen a erivation of

More information

Hyperbolic Functions 6D

Hyperbolic Functions 6D Hyperbolic Functions 6D a (sinh cosh b (cosh 5 5sinh 5 c (tanh sech (sinh cosh e f (coth cosech (sech sinh (cosh sinh cosh cosh tanh sech g (e sinh e sinh e + cosh e (cosh sinh h ( cosh cosh + sinh sinh

More information

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs Lectures - Week 10 Introuction to Orinary Differential Equations (ODES) First Orer Linear ODEs When stuying ODEs we are consiering functions of one inepenent variable, e.g., f(x), where x is the inepenent

More information

Math 106 Exam 2 Topics

Math 106 Exam 2 Topics Implicit ifferentiation Math 106 Exam Topics We can ifferentiate functions; what about equations? (e.g., x +y = 1) graph looks like it has tangent lines tangent line? (a,b) Iea: Preten equation efines

More information

Implicit Differentiation

Implicit Differentiation Implicit Differentiation Implicit Differentiation Using the Chain Rule In the previous section we focuse on the erivatives of composites an saw that THEOREM 20 (Chain Rule) Suppose that u = g(x) is ifferentiable

More information

016A Homework 10 Solution

016A Homework 10 Solution 016A Homework 10 Solution Jae-young Park November 2, 2008 4.1 #14 Write each expression in the form of 2 kx or 3 kx, for a suitable constant k; (3 x 3 x/5 ) 5, (16 1/4 16 3/4 ) 3x Solution (3 x 3 x/5 )

More information

Differential and Integral Calculus

Differential and Integral Calculus School of science an engineering El Akhawayn University Monay, March 31 st, 2008 Outline 1 Definition of hyperbolic functions: The hyperbolic cosine an the hyperbolic sine of the real number x are enote

More information

Implicit Differentiation

Implicit Differentiation Implicit Differentiation Thus far, the functions we have been concerne with have been efine explicitly. A function is efine explicitly if the output is given irectly in terms of the input. For instance,

More information

Chapter 2 The Derivative Business Calculus 155

Chapter 2 The Derivative Business Calculus 155 Chapter The Derivative Business Calculus 155 Section 11: Implicit Differentiation an Relate Rates In our work up until now, the functions we neee to ifferentiate were either given explicitly, x such as

More information

2 ODEs Integrating Factors and Homogeneous Equations

2 ODEs Integrating Factors and Homogeneous Equations 2 ODEs Integrating Factors an Homogeneous Equations We begin with a slightly ifferent type of equation: 2.1 Exact Equations These are ODEs whose general solution can be obtaine by simply integrating both

More information

f(x) f(a) Limit definition of the at a point in slope notation.

f(x) f(a) Limit definition of the at a point in slope notation. Lesson 9: Orinary Derivatives Review Hanout Reference: Brigg s Calculus: Early Transcenentals, Secon Eition Topics: Chapter 3: Derivatives, p. 126-235 Definition. Limit Definition of Derivatives at a point

More information

Math 300 Winter 2011 Advanced Boundary Value Problems I. Bessel s Equation and Bessel Functions

Math 300 Winter 2011 Advanced Boundary Value Problems I. Bessel s Equation and Bessel Functions Math 3 Winter 2 Avance Bounary Value Problems I Bessel s Equation an Bessel Functions Department of Mathematical an Statistical Sciences University of Alberta Bessel s Equation an Bessel Functions We use

More information

Revision Checklist. Unit FP3: Further Pure Mathematics 3. Assessment information

Revision Checklist. Unit FP3: Further Pure Mathematics 3. Assessment information Revision Checklist Unit FP3: Further Pure Mathematics 3 Unit description Further matrix algebra; vectors, hyperbolic functions; differentiation; integration, further coordinate systems Assessment information

More information

Math Differential Equations Material Covering Lab 2

Math Differential Equations Material Covering Lab 2 Math 366 - Differential Equations Material Covering Lab 2 Separable Equations A separable equation is a first-orer ODE that can be written in the form y'= g x $h y This is the general metho to solve such

More information

2.1 Derivatives and Rates of Change

2.1 Derivatives and Rates of Change 1a 1b 2.1 Derivatives an Rates of Change Tangent Lines Example. Consier y f x x 2 0 2 x-, 0 4 y-, f(x) axes, curve C Consier a smooth curve C. A line tangent to C at a point P both intersects C at P an

More information

Further Pure Mathematics 3 GCE Further Mathematics GCE Pure Mathematics and Further Mathematics (Additional) A2 optional unit

Further Pure Mathematics 3 GCE Further Mathematics GCE Pure Mathematics and Further Mathematics (Additional) A2 optional unit Unit FP3 Further Pure Mathematics 3 GCE Further Mathematics GCE Pure Mathematics and Further Mathematics (Additional) A optional unit FP3.1 Unit description Further matrix algebra; vectors, hyperbolic

More information

1 Parametric Bessel Equation and Bessel-Fourier Series

1 Parametric Bessel Equation and Bessel-Fourier Series 1 Parametric Bessel Equation an Bessel-Fourier Series Recall the parametric Bessel equation of orer n: x 2 y + xy + (a 2 x 2 n 2 )y = (1.1) The general solution is given by y = J n (ax) +Y n (ax). If we

More information

Using the definition of the derivative of a function is quite tedious. f (x + h) f (x)

Using the definition of the derivative of a function is quite tedious. f (x + h) f (x) Derivative Rules Using te efinition of te erivative of a function is quite teious. Let s prove some sortcuts tat we can use. Recall tat te efinition of erivative is: Given any number x for wic te limit

More information

February 21 Math 1190 sec. 63 Spring 2017

February 21 Math 1190 sec. 63 Spring 2017 February 21 Math 1190 sec. 63 Spring 2017 Chapter 2: Derivatives Let s recall the efinitions an erivative rules we have so far: Let s assume that y = f (x) is a function with c in it s omain. The erivative

More information

x f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0.

x f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0. Engineering Mathematics 2 26 February 2014 Limits of functions Consier the function 1 f() = 1. The omain of this function is R + \ {1}. The function is not efine at 1. What happens when is close to 1?

More information

Section 3.1/3.2: Rules of Differentiation

Section 3.1/3.2: Rules of Differentiation : Rules of Differentiation Math 115 4 February 2018 Overview 1 2 Four Theorem for Derivatives Suppose c is a constant an f, g are ifferentiable functions. Then 1 2 3 4 x (c) = 0 x (x n ) = nx n 1 x [cf

More information

Chapter 1. Functions, Graphs, and Limits

Chapter 1. Functions, Graphs, and Limits Review for Final Exam Lecturer: Sangwook Kim Office : Science & Tech I, 226D math.gmu.eu/ skim22 Chapter 1. Functions, Graphs, an Limits A function is a rule that assigns to each objects in a set A exactly

More information

Math Implicit Differentiation. We have discovered (and proved) formulas for finding derivatives of functions like

Math Implicit Differentiation. We have discovered (and proved) formulas for finding derivatives of functions like Math 400 3.5 Implicit Differentiation Name We have iscovere (an prove) formulas for fining erivatives of functions like f x x 3x 4x. 3 This amounts to fining y for 3 y x 3x 4x. Notice that in this case,

More information

Math 342 Partial Differential Equations «Viktor Grigoryan

Math 342 Partial Differential Equations «Viktor Grigoryan Math 342 Partial Differential Equations «Viktor Grigoryan 6 Wave equation: solution In this lecture we will solve the wave equation on the entire real line x R. This correspons to a string of infinite

More information

Solutions to Math 41 Second Exam November 4, 2010

Solutions to Math 41 Second Exam November 4, 2010 Solutions to Math 41 Secon Exam November 4, 2010 1. (13 points) Differentiate, using the metho of your choice. (a) p(t) = ln(sec t + tan t) + log 2 (2 + t) (4 points) Using the rule for the erivative of

More information

Flash Card Construction Instructions

Flash Card Construction Instructions Flash Car Construction Instructions *** THESE CARDS ARE FOR CALCULUS HONORS, AP CALCULUS AB AND AP CALCULUS BC. AP CALCULUS BC WILL HAVE ADDITIONAL CARDS FOR THE COURSE (IN A SEPARATE FILE). The left column

More information

You should also review L Hôpital s Rule, section 3.6; follow the homework link above for exercises.

You should also review L Hôpital s Rule, section 3.6; follow the homework link above for exercises. BEFORE You Begin Calculus II If it has been awhile since you ha Calculus, I strongly suggest that you refresh both your ifferentiation an integration skills. I woul also like to remin you that in Calculus,

More information

Math Chapter 2 Essentials of Calculus by James Stewart Prepared by Jason Gaddis

Math Chapter 2 Essentials of Calculus by James Stewart Prepared by Jason Gaddis Math 231 - Chapter 2 Essentials of Calculus by James Stewart Prepare by Jason Gais Chapter 2 - Derivatives 21 - Derivatives an Rates of Change Definition A tangent to a curve is a line that intersects

More information

The Explicit Form of a Function

The Explicit Form of a Function Section 3 5 Implicit Differentiation The Eplicit Form of a Function The normal way we see function notation has f () on one sie of an equation an an epression in terms of on the other sie. We know the

More information

(a 1 m. a n m = < a 1/N n

(a 1 m. a n m = < a 1/N n Notes on a an log a Mat 9 Fall 2004 Here is an approac to te eponential an logaritmic functions wic avois any use of integral calculus We use witout proof te eistence of certain limits an assume tat certain

More information

Math 180, Exam 2, Fall 2012 Problem 1 Solution. (a) The derivative is computed using the Chain Rule twice. 1 2 x x

Math 180, Exam 2, Fall 2012 Problem 1 Solution. (a) The derivative is computed using the Chain Rule twice. 1 2 x x . Fin erivatives of the following functions: (a) f() = tan ( 2 + ) ( ) 2 (b) f() = ln 2 + (c) f() = sin() Solution: Math 80, Eam 2, Fall 202 Problem Solution (a) The erivative is compute using the Chain

More information

Math 19 Sample Final Exam Solutions

Math 19 Sample Final Exam Solutions SSEA Summer 2017 Math 19 Sample Final Exam Solutions 1. [10 points] For what value of the constant k will the function: ) 1 x 2 sin, x < 0 fx) = x, x + k coskx), x 0 be continuous at x = 0? Explain your

More information

4.2 First Differentiation Rules; Leibniz Notation

4.2 First Differentiation Rules; Leibniz Notation .. FIRST DIFFERENTIATION RULES; LEIBNIZ NOTATION 307. First Differentiation Rules; Leibniz Notation In this section we erive rules which let us quickly compute the erivative function f (x) for any polynomial

More information

Solutions to Practice Problems Tuesday, October 28, 2008

Solutions to Practice Problems Tuesday, October 28, 2008 Solutions to Practice Problems Tuesay, October 28, 2008 1. The graph of the function f is shown below. Figure 1: The graph of f(x) What is x 1 + f(x)? What is x 1 f(x)? An oes x 1 f(x) exist? If so, what

More information

The Explicit Form of a Function

The Explicit Form of a Function Section 3 5 Implicit Differentiation The Eplicit Form of a Function Function Notation requires that we state a function with f () on one sie of an equation an an epression in terms of on the other sie

More information

6.2. The Hyperbolic Functions. Introduction. Prerequisites. Learning Outcomes

6.2. The Hyperbolic Functions. Introduction. Prerequisites. Learning Outcomes The Hyperbolic Functions 6. Introduction The hyperbolic functions cosh x, sinh x, tanh x etc are certain combinations of the exponential functions e x and e x. The notation implies a close relationship

More information

Math 1271 Solutions for Fall 2005 Final Exam

Math 1271 Solutions for Fall 2005 Final Exam Math 7 Solutions for Fall 5 Final Eam ) Since the equation + y = e y cannot be rearrange algebraically in orer to write y as an eplicit function of, we must instea ifferentiate this relation implicitly

More information

Section The Chain Rule and Implicit Differentiation with Application on Derivative of Logarithm Functions

Section The Chain Rule and Implicit Differentiation with Application on Derivative of Logarithm Functions Section 3.4-3.6 The Chain Rule an Implicit Differentiation with Application on Derivative of Logarithm Functions Ruipeng Shen September 3r, 5th Ruipeng Shen MATH 1ZA3 September 3r, 5th 1 / 3 The Chain

More information

Hyperbolic functions

Hyperbolic functions Roberto s Notes on Differential Calculus Chapter 5: Derivatives of transcendental functions Section Derivatives of Hyperbolic functions What you need to know already: Basic rules of differentiation, including

More information

1 Lecture 18: The chain rule

1 Lecture 18: The chain rule 1 Lecture 18: The chain rule 1.1 Outline Comparing the graphs of sin(x) an sin(2x). The chain rule. The erivative of a x. Some examples. 1.2 Comparing the graphs of sin(x) an sin(2x) We graph f(x) = sin(x)

More information

Chapter 2. Exponential and Log functions. Contents

Chapter 2. Exponential and Log functions. Contents Chapter. Exponential an Log functions This material is in Chapter 6 of Anton Calculus. The basic iea here is mainly to a to the list of functions we know about (for calculus) an the ones we will stu all

More information

Math Test #2 Info and Review Exercises

Math Test #2 Info and Review Exercises Math 180 - Test #2 Info an Review Exercises Spring 2019, Prof. Beyler Test Info Date: Will cover packets #7 through #16. You ll have the entire class to finish the test. This will be a 2-part test. Part

More information

A. Incorrect! The letter t does not appear in the expression of the given integral

A. Incorrect! The letter t does not appear in the expression of the given integral AP Physics C - Problem Drill 1: The Funamental Theorem of Calculus Question No. 1 of 1 Instruction: (1) Rea the problem statement an answer choices carefully () Work the problems on paper as neee (3) Question

More information

2.5 SOME APPLICATIONS OF THE CHAIN RULE

2.5 SOME APPLICATIONS OF THE CHAIN RULE 2.5 SOME APPLICATIONS OF THE CHAIN RULE The Chain Rule will help us etermine the erivatives of logarithms an exponential functions a x. We will also use it to answer some applie questions an to fin slopes

More information

Designing Information Devices and Systems II Spring 2018 J. Roychowdhury and M. Maharbiz Discussion 2A

Designing Information Devices and Systems II Spring 2018 J. Roychowdhury and M. Maharbiz Discussion 2A EECS 6B Designing Information Devices an Systems II Spring 208 J. Roychowhury an M. Maharbiz Discussion 2A Secon-Orer Differential Equations Secon-orer ifferential equations are ifferential equations of

More information

Chapter 3 Differentiation Rules (continued)

Chapter 3 Differentiation Rules (continued) Chapter 3 Differentiation Rules (continued) Sec 3.5: Implicit Differentiation (continued) Implicit Differentiation What if you want to find the slope of the tangent line to a curve that is not the graph

More information

Today: 5.6 Hyperbolic functions

Today: 5.6 Hyperbolic functions Toay: 5.6 Hyerbolic functions Warm u: Let f() = (e ) an g() = (e + ) Verify the following ientities: () f 0 () =g() () g 0 () =f() (3) f() is an o function (i.e. f(-) = -f()) (4) g() is an even function

More information

Markov Chains in Continuous Time

Markov Chains in Continuous Time Chapter 23 Markov Chains in Continuous Time Previously we looke at Markov chains, where the transitions betweenstatesoccurreatspecifietime- steps. That it, we mae time (a continuous variable) avance in

More information

Differentiability, Computing Derivatives, Trig Review. Goals:

Differentiability, Computing Derivatives, Trig Review. Goals: Secants vs. Derivatives - Unit #3 : Goals: Differentiability, Computing Derivatives, Trig Review Determine when a function is ifferentiable at a point Relate the erivative graph to the the graph of an

More information

Derivatives and Its Application

Derivatives and Its Application Chapter 4 Derivatives an Its Application Contents 4.1 Definition an Properties of erivatives; basic rules; chain rules 3 4. Derivatives of Inverse Functions; Inverse Trigonometric Functions; Hyperbolic

More information

x f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0.

x f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0. Engineering Mathematics 2 26 February 2014 Limits of functions Consier the function 1 f() = 1. The omain of this function is R + \ {1}. The function is not efine at 1. What happens when is close to 1?

More information

Computing Derivatives

Computing Derivatives Chapter 2 Computing Derivatives 2.1 Elementary erivative rules Motivating Questions In this section, we strive to unerstan the ieas generate by the following important questions: What are alternate notations

More information

Chapter 3 Elementary Functions

Chapter 3 Elementary Functions Chapter 3 Elementary Functions In this chapter, we will consier elementary functions of a complex variable. We will introuce complex exponential, trigonometric, hyperbolic, an logarithmic functions. 23.

More information

First Order Linear Differential Equations

First Order Linear Differential Equations LECTURE 6 First Orer Linear Differential Equations A linear first orer orinary ifferential equation is a ifferential equation of the form ( a(xy + b(xy = c(x. Here y represents the unknown function, y

More information

Section 2.7 Derivatives of powers of functions

Section 2.7 Derivatives of powers of functions Section 2.7 Derivatives of powers of functions (3/19/08) Overview: In this section we iscuss the Chain Rule formula for the erivatives of composite functions that are forme by taking powers of other functions.

More information

ENGI 3425 Review of Calculus Page then

ENGI 3425 Review of Calculus Page then ENGI 345 Review of Calculus Page 1.01 1. Review of Calculus We begin this course with a refresher on ifferentiation an integration from MATH 1000 an MATH 1001. 1.1 Reminer of some Derivatives (review from

More information

Exam 2 Review Solutions

Exam 2 Review Solutions Exam Review Solutions 1. True or False, an explain: (a) There exists a function f with continuous secon partial erivatives such that f x (x, y) = x + y f y = x y False. If the function has continuous secon

More information

Lecture 2 - First order linear PDEs and PDEs from physics

Lecture 2 - First order linear PDEs and PDEs from physics 18.15 - Introuction to PEs, Fall 004 Prof. Gigliola Staffilani Lecture - First orer linear PEs an PEs from physics I mentione in the first class some basic PEs of first an secon orer. Toay we illustrate

More information

Outline. Calculus for the Life Sciences. Average Height and Weight of Girls 1. Chain Rule. Lecture Notes Chain Rule

Outline. Calculus for the Life Sciences. Average Height and Weight of Girls 1. Chain Rule. Lecture Notes Chain Rule Outline Calculus for the Life Sciences Lecture Notes Joseph M. Mahaffy, jmahaffy@mail.ssu.eu Department of Mathematics an Statistics Dynamical Systems Group Computational Sciences Research Center San Diego

More information

Math 210 Midterm #1 Review

Math 210 Midterm #1 Review Math 20 Miterm # Review This ocument is intene to be a rough outline of what you are expecte to have learne an retaine from this course to be prepare for the first miterm. : Functions Definition: A function

More information

Rules of Differentiation

Rules of Differentiation LECTURE 2 Rules of Differentiation At te en of Capter 2, we finally arrive at te following efinition of te erivative of a function f f x + f x x := x 0 oing so only after an extene iscussion as wat te

More information

7.1. Calculus of inverse functions. Text Section 7.1 Exercise:

7.1. Calculus of inverse functions. Text Section 7.1 Exercise: Contents 7. Inverse functions 1 7.1. Calculus of inverse functions 2 7.2. Derivatives of exponential function 4 7.3. Logarithmic function 6 7.4. Derivatives of logarithmic functions 7 7.5. Exponential

More information

YORK UNIVERSITY. Faculty of Science Department of Mathematics and Statistics. MATH A Test #2. June 25, 2014 SOLUTIONS

YORK UNIVERSITY. Faculty of Science Department of Mathematics and Statistics. MATH A Test #2. June 25, 2014 SOLUTIONS YORK UNIVERSITY Faculty of Science Department of Mathematics an Statistics MATH 505 6.00 A Test # June 5, 04 SOLUTIONS Family Name (print): Given Name: Stuent No: Signature: INSTRUCTIONS:. Please write

More information

Table of Common Derivatives By David Abraham

Table of Common Derivatives By David Abraham Prouct an Quotient Rules: Table of Common Derivatives By Davi Abraham [ f ( g( ] = [ f ( ] g( + f ( [ g( ] f ( = g( [ f ( ] g( g( f ( [ g( ] Trigonometric Functions: sin( = cos( cos( = sin( tan( = sec

More information

Section 7.2. The Calculus of Complex Functions

Section 7.2. The Calculus of Complex Functions Section 7.2 The Calculus of Complex Functions In this section we will iscuss limits, continuity, ifferentiation, Taylor series in the context of functions which take on complex values. Moreover, we will

More information

Physics 220. Exam #2. May 20, 2016

Physics 220. Exam #2. May 20, 2016 Physics 22 Exam #2 May 2, 26 Name Please rea an follow these instructions carefully: Rea all prolems carefully efore attempting to solve them. Your work must e legile, an the organization clear. You must

More information

Trigonometric Functions

Trigonometric Functions 4 Trigonometric Functions So far we have use only algebraic functions as examples when fining erivatives, that is, functions that can be built up by the usual algebraic operations of aition, subtraction,

More information