MATH 312 Section 2.4: Exact Differential Equations

Size: px
Start display at page:

Download "MATH 312 Section 2.4: Exact Differential Equations"

Transcription

1 MATH 312 Section 2.4: Exact Differential Equations Prof. Jonathan Duncan Walla Walla College Spring Quarter, 2007

2 Outline 1 Exact Differential Equations 2 Solving an Exact DE 3 Making a DE Exact 4 Conclusion

3 A Motivating Our tools so far allow us to solve first-order differential equations which are separable and/or linear. Is the following differential equation separable or linear? (tan x sin x sin y)dx + (cos x cos y)dy = 0 After rewriting as shown, what do you notice? dy dx The equation is not separable. The equation is not linear. = sin x sin y tan x cos x cos y We need a new solution method for this DE!

4 Working Backwards We develop our method using Calculus notation. Differentials Recall that if f (x, y) has continuous first partials on some region of the xy-plane, then with z = f (x, y) the differential is: dz = f f dx + x y dy Why is this of use? Recall our motivating example. Now, to solve (tan x sin x sin y)dx + (cos x cos y)dy = 0 we find an f (x, y) for which f x = (tan x sin x sin y) and = (cos x cos y), and set f (x, y) = c for any constant c so that dz = 0. f y

5 Exact Differentials and Equations We now formalize this type of solution with several definitions. Definition 2.3 A differential expression of the form M(x, y) dx + N(x, y) dy is an exact differential in a region R of the xy-plane if it corresponds to the differential of some function f (x, y) defined on R. Definition 2.3, Part II A first order differential equation of the form M(x, y) dx + N(x, y) dy = 0 is an exact equation if the left side is an exact differential. Solving an Exact Equation If the differential of f (x, y) is M(x, y) dx + N(x, y) dy, then f (x, y) = c is an implicit solution to the DE M(x, y) dx + N(x, y) dy = 0

6 Verifying Exactness We now consider how to tell if a DE is exact. Is the differential equation below exact? Theorem 2.1 (2x 1) dx + (3y + 7) dy = 0 Let M(x, y) and N(x, y) be continuous with continuous first partial derivatives on a rectangular region R of the xy-plane. Then, a necessary and sufficient condition that M(x, y) dx + N(x, y) dy be an exact differential is that M y = N x. Step 1: M y = N x implies exactness. Step 2: exactness implies M y = N x.

7 Solution Method To solve an exact differential equation, we will follow the procedure from Step 2 of the theorem proof. Solution Method To solve an exact differential equation, follow these steps. f x f (x, y) = = M(x, y) M(x, y) dx + g(y) f y = ( y ) M(x, y) dx + g (y) = N(x, y)

8 s Use this procedure to find an implicit solution to each of the following exact differential equations. Solve (2xy 2 3) dx + (2x 2 y + 4) dy = 0 x 2 y 2 3x + 4y = c Solve (tan x sin x sin y) dy + (cos x cos y) dy = 0 cos x sin y ln cos x = c

9 Not Everything is Exact Unfortunately, not every differential equation which has the form M(x, y) dx + N(x, y) dy = 0 is exact. Show that the differential equation below is not exact. (2y 2 + 3x) dx + 2xy dy = 0 Sometimes we can find an integrating factor µ(x, y) so that the equation obtained by multiplying by µ(x, y) (shown below) is exact. µ(x, y)m(x, y) dx + µ(x, y)n(x, y) dy = 0

10 Using an Integrating Factor In order for our integrating factor to work, we need the following to be exact. µ(x, y)m(x, y) dx + µ(x, y)n(x, y) dy = 0 Applying the exactness theorem, this means: y (µm) = x (µn) µ y M + M y µ = µ x N + N x µ µ x N µ ( M y M = µ y N ) x

11 Finding an Integrating Factor To continue, we must assume that µ depends only on x or y. Suppose µ = µ(x). µ x N µ ( M y M = µ y N x ) µ x N = µ dµ dx = ( M y N x ( My N x N ) µ ) Finding µ My Nx Nx My If N depends only on x or if M depends only on y, then we can solve the separable DE dµ My Nx dx = N µ or dµ Nx My dy = M µ respectively to find the integrating factor µ.

12 Completing our Recall our problem example from a few slides previous. Solve (2y 2 + 3x) dx + 2xy dy = 0 M y N x N = 4y 2y 2xy and N x M y M = 2y 4y 2y 2 + 3x dµ dx 1 R µ = 0 is linear, so µ = 1 e x x x(2y 2 + 3x) dx + x(2xy) dy = 0 is exact dx = x x 2 y 2 + x 3 = c

13 Important Concepts Things to Remember from Section Identifying exact differential equations 2 Solution method for exact differential equations 3 Using an integrating factor to make a DE exact

MATH 312 Section 4.3: Homogeneous Linear Equations with Constant Coefficients

MATH 312 Section 4.3: Homogeneous Linear Equations with Constant Coefficients MATH 312 Section 4.3: Homogeneous Linear Equations with Constant Coefficients Prof. Jonathan Duncan Walla Walla College Spring Quarter, 2007 Outline 1 Getting Started 2 Second Order Equations Two Real

More information

MATH 312 Section 1.2: Initial Value Problems

MATH 312 Section 1.2: Initial Value Problems MATH 312 Section 1.2: Initial Value Problems Prof. Jonathan Duncan Walla Walla College Spring Quarter, 2007 Outline 1 Introduction to Initial Value Problems 2 Existence and Uniqueness 3 Conclusion Families

More information

2.2 Separable Equations

2.2 Separable Equations 2.2 Separable Equations Definition A first-order differential equation that can be written in the form Is said to be separable. Note: the variables of a separable equation can be written as Examples Solve

More information

MATH 312 Section 4.5: Undetermined Coefficients

MATH 312 Section 4.5: Undetermined Coefficients MATH 312 Section 4.5: Undetermined Coefficients Prof. Jonathan Duncan Walla Walla College Spring Quarter, 2007 Outline 1 Differential Operators 2 Annihilators 3 Undetermined Coefficients 4 Conclusion ODEs

More information

MATH 312 Section 8.3: Non-homogeneous Systems

MATH 312 Section 8.3: Non-homogeneous Systems MATH 32 Section 8.3: Non-homogeneous Systems Prof. Jonathan Duncan Walla Walla College Spring Quarter, 2007 Outline Undetermined Coefficients 2 Variation of Parameter 3 Conclusions Undetermined Coefficients

More information

MATH 312 Section 7.1: Definition of a Laplace Transform

MATH 312 Section 7.1: Definition of a Laplace Transform MATH 312 Section 7.1: Definition of a Laplace Transform Prof. Jonathan Duncan Walla Walla University Spring Quarter, 2008 Outline 1 The Laplace Transform 2 The Theory of Laplace Transforms 3 Conclusions

More information

First-Order ODE: Separable Equations, Exact Equations and Integrating Factor

First-Order ODE: Separable Equations, Exact Equations and Integrating Factor First-Order ODE: Separable Equations, Exact Equations and Integrating Factor Department of Mathematics IIT Guwahati REMARK: In the last theorem of the previous lecture, you can change the open interval

More information

Chapter 2: First Order DE 2.6 Exact DE and Integrating Fa

Chapter 2: First Order DE 2.6 Exact DE and Integrating Fa Chapter 2: First Order DE 2.6 Exact DE and Integrating Factor First Order DE Recall the general form of the First Order DEs (FODE): dy dx = f(x, y) (1) (In this section x is the independent variable; not

More information

MATH 312 Section 6.2: Series Solutions about Singular Points

MATH 312 Section 6.2: Series Solutions about Singular Points MATH 312 Section 6.2: Series Solutions about Singular Points Prof. Jonathan Duncan Walla Walla University Spring Quarter, 2008 Outline 1 Classifying Singular Points 2 The Method of Frobenius 3 Conclusions

More information

First Order ODEs, Part I

First Order ODEs, Part I Craig J. Sutton craig.j.sutton@dartmouth.edu Department of Mathematics Dartmouth College Math 23 Differential Equations Winter 2013 Outline 1 2 in General 3 The Definition & Technique Example Test for

More information

First Order Differential Equations Lecture 3

First Order Differential Equations Lecture 3 First Order Differential Equations Lecture 3 Dibyajyoti Deb 3.1. Outline of Lecture Differences Between Linear and Nonlinear Equations Exact Equations and Integrating Factors 3.. Differences between Linear

More information

First Order Differential Equations

First Order Differential Equations Chapter 2 First Order Differential Equations 2.1 9 10 CHAPTER 2. FIRST ORDER DIFFERENTIAL EQUATIONS 2.2 Separable Equations A first order differential equation = f(x, y) is called separable if f(x, y)

More information

Ordinary Differential Equations

Ordinary Differential Equations Ordinary Differential Equations (MA102 Mathematics II) Shyamashree Upadhyay IIT Guwahati Shyamashree Upadhyay ( IIT Guwahati ) Ordinary Differential Equations 1 / 25 First order ODE s We will now discuss

More information

HW2 Solutions. MATH 20D Fall 2013 Prof: Sun Hui TA: Zezhou Zhang (David) October 14, Checklist: Section 2.6: 1, 3, 6, 8, 10, 15, [20, 22]

HW2 Solutions. MATH 20D Fall 2013 Prof: Sun Hui TA: Zezhou Zhang (David) October 14, Checklist: Section 2.6: 1, 3, 6, 8, 10, 15, [20, 22] HW2 Solutions MATH 20D Fall 2013 Prof: Sun Hui TA: Zezhou Zhang (David) October 14, 2013 Checklist: Section 2.6: 1, 3, 6, 8, 10, 15, [20, 22] Section 3.1: 1, 2, 3, 9, 16, 18, 20, 23 Section 3.2: 1, 2,

More information

Representation of Functions as Power Series

Representation of Functions as Power Series Representation of Functions as Power Series Philippe B. Laval KSU Today Philippe B. Laval (KSU) Functions as Power Series Today / Introduction In this section and the next, we develop several techniques

More information

Math 246, Spring 2011, Professor David Levermore

Math 246, Spring 2011, Professor David Levermore Math 246, Spring 2011, Professor David Levermore 7. Exact Differential Forms and Integrating Factors Let us ask the following question. Given a first-order ordinary equation in the form 7.1 = fx, y, dx

More information

z = 1 2 x 3 4 y + 3 y dt

z = 1 2 x 3 4 y + 3 y dt Exact First Order Differential Equations This Lecture covers material in Section 2.6. A first order differential equations is exact if it can be written in the form M(x, ) + N(x, ) d dx = 0, where M =

More information

Math 2a Prac Lectures on Differential Equations

Math 2a Prac Lectures on Differential Equations Math 2a Prac Lectures on Differential Equations Prof. Dinakar Ramakrishnan 272 Sloan, 253-37 Caltech Office Hours: Fridays 4 5 PM Based on notes taken in class by Stephanie Laga, with a few added comments

More information

D. Correct! This is the correct answer. It is found by dy/dx = (dy/dt)/(dx/dt).

D. Correct! This is the correct answer. It is found by dy/dx = (dy/dt)/(dx/dt). Calculus II - Problem Solving Drill 4: Calculus for Parametric Equations Question No. of 0 Instructions: () Read the problem and answer choices carefully () Work the problems on paper as. Find dy/dx where

More information

Math 201 Solutions to Assignment 1. 2ydy = x 2 dx. y = C 1 3 x3

Math 201 Solutions to Assignment 1. 2ydy = x 2 dx. y = C 1 3 x3 Math 201 Solutions to Assignment 1 1. Solve the initial value problem: x 2 dx + 2y = 0, y(0) = 2. x 2 dx + 2y = 0, y(0) = 2 2y = x 2 dx y 2 = 1 3 x3 + C y = C 1 3 x3 Notice that y is not defined for some

More information

4 Differential Equations

4 Differential Equations Advanced Calculus Chapter 4 Differential Equations 65 4 Differential Equations 4.1 Terminology Let U R n, and let y : U R. A differential equation in y is an equation involving y and its (partial) derivatives.

More information

Solutions of Math 53 Midterm Exam I

Solutions of Math 53 Midterm Exam I Solutions of Math 53 Midterm Exam I Problem 1: (1) [8 points] Draw a direction field for the given differential equation y 0 = t + y. (2) [8 points] Based on the direction field, determine the behavior

More information

Chain Rule. MATH 311, Calculus III. J. Robert Buchanan. Spring Department of Mathematics

Chain Rule. MATH 311, Calculus III. J. Robert Buchanan. Spring Department of Mathematics 3.33pt Chain Rule MATH 311, Calculus III J. Robert Buchanan Department of Mathematics Spring 2019 Single Variable Chain Rule Suppose y = g(x) and z = f (y) then dz dx = d (f (g(x))) dx = f (g(x))g (x)

More information

Tangent Plane. Linear Approximation. The Gradient

Tangent Plane. Linear Approximation. The Gradient Calculus 3 Lia Vas Tangent Plane. Linear Approximation. The Gradient The tangent plane. Let z = f(x, y) be a function of two variables with continuous partial derivatives. Recall that the vectors 1, 0,

More information

MATH 307: Problem Set #3 Solutions

MATH 307: Problem Set #3 Solutions : Problem Set #3 Solutions Due on: May 3, 2015 Problem 1 Autonomous Equations Recall that an equilibrium solution of an autonomous equation is called stable if solutions lying on both sides of it tend

More information

Section 3.6 The chain rule 1 Lecture. Dr. Abdulla Eid. College of Science. MATHS 101: Calculus I

Section 3.6 The chain rule 1 Lecture. Dr. Abdulla Eid. College of Science. MATHS 101: Calculus I Section 3.6 The chain rule 1 Lecture College of Science MATHS 101: Calculus I (University of Bahrain) Logarithmic Differentiation 1 / 23 Motivation Goal: We want to derive rules to find the derivative

More information

Applied Calculus I. Lecture 29

Applied Calculus I. Lecture 29 Applied Calculus I Lecture 29 Integrals of trigonometric functions We shall continue learning substitutions by considering integrals involving trigonometric functions. Integrals of trigonometric functions

More information

Section 3.6 The chain rule 1 Lecture. Dr. Abdulla Eid. College of Science. MATHS 101: Calculus I

Section 3.6 The chain rule 1 Lecture. Dr. Abdulla Eid. College of Science. MATHS 101: Calculus I Section 3.6 The chain rule 1 Lecture College of Science MATHS 101: Calculus I (University of Bahrain) Logarithmic Differentiation 1 / 1 Motivation Goal: We want to derive rules to find the derivative of

More information

Solving First Order ODEs. Table of contents

Solving First Order ODEs. Table of contents Solving First Order ODEs Table of contents Solving First Order ODEs............................................... 1 1. Introduction...................................................... 1 Aside: Two ways

More information

2t t dt.. So the distance is (t2 +6) 3/2

2t t dt.. So the distance is (t2 +6) 3/2 Math 8, Solutions to Review for the Final Exam Question : The distance is 5 t t + dt To work that out, integrate by parts with u t +, so that t dt du The integral is t t + dt u du u 3/ (t +) 3/ So the

More information

Chapter 4 Notes, Calculus I with Precalculus 3e Larson/Edwards

Chapter 4 Notes, Calculus I with Precalculus 3e Larson/Edwards 4.1 The Derivative Recall: For the slope of a line we need two points (x 1,y 1 ) and (x 2,y 2 ). Then the slope is given by the formula: m = y x = y 2 y 1 x 2 x 1 On a curve we can find the slope of a

More information

Completion Date: Monday February 11, 2008

Completion Date: Monday February 11, 2008 MATH 4 (R) Winter 8 Intermediate Calculus I Solutions to Problem Set #4 Completion Date: Monday February, 8 Department of Mathematical and Statistical Sciences University of Alberta Question. [Sec..9,

More information

Review for the Final Exam

Review for the Final Exam Math 171 Review for the Final Exam 1 Find the limits (4 points each) (a) lim 4x 2 3; x x (b) lim ( x 2 x x 1 )x ; (c) lim( 1 1 ); x 1 ln x x 1 sin (x 2) (d) lim x 2 x 2 4 Solutions (a) The limit lim 4x

More information

Green Lab. MAXIMA & ODE2. Cheng Ren, Lin. Department of Marine Engineering National Kaohsiung Marine University

Green Lab. MAXIMA & ODE2. Cheng Ren, Lin. Department of Marine Engineering National Kaohsiung Marine University Green Lab. 1/20 MAXIMA & ODE2 Cheng Ren, Lin Department of Marine Engineering National Kaohsiung Marine University email: crlin@mail.nkmu.edu.tw Objectives learn MAXIMA learn ODE2 2/20 ODE2 Method First

More information

Math 266, Midterm Exam 1

Math 266, Midterm Exam 1 Math 266, Midterm Exam 1 February 19th 2016 Name: Ground Rules: 1. Calculator is NOT allowed. 2. Show your work for every problem unless otherwise stated (partial credits are available). 3. You may use

More information

Math 229 Mock Final Exam Solution

Math 229 Mock Final Exam Solution Name: Math 229 Mock Final Exam Solution Disclaimer: This mock exam is for practice purposes only. No graphing calulators TI-89 is allowed on this test. Be sure that all of your work is shown and that it

More information

LESSON 21: DIFFERENTIALS OF MULTIVARIABLE FUNCTIONS OCTOBER 18, 2017

LESSON 21: DIFFERENTIALS OF MULTIVARIABLE FUNCTIONS OCTOBER 18, 2017 LESSON 21: DIFFERENTIALS OF MULTIVARIABLE FUNCTIONS OCTOBER 18, 2017 Today we do a quick review of differentials for functions of a single variable and then discuss how to extend this notion to functions

More information

3 Algebraic Methods. we can differentiate both sides implicitly to obtain a differential equation involving x and y:

3 Algebraic Methods. we can differentiate both sides implicitly to obtain a differential equation involving x and y: 3 Algebraic Methods b The first appearance of the equation E Mc 2 in Einstein s handwritten notes. So far, the only general class of differential equations that we know how to solve are directly integrable

More information

MATH 312 Section 3.1: Linear Models

MATH 312 Section 3.1: Linear Models MATH 312 Section 3.1: Linear Models Prof. Jonathan Duncan Walla Walla College Spring Quarter, 2007 Outline 1 Population Growth 2 Newton s Law of Cooling 3 Kepler s Law Second Law of Planetary Motion 4

More information

LESSON 21: DIFFERENTIALS OF MULTIVARIABLE FUNCTIONS MATH FALL 2018

LESSON 21: DIFFERENTIALS OF MULTIVARIABLE FUNCTIONS MATH FALL 2018 LESSON 21: DIFFERENTIALS OF MULTIVARIABLE FUNCTIONS MATH 16020 FALL 2018 ELLEN WELD 1. Quick Review of Differentials Ex 1. Consider the function f(x) x. We know that f(9) 9 3, but what is f(9.1) 9.1? Obviously,

More information

First order differential equations

First order differential equations First order differential equations Samy Tindel Purdue University Differential equations and linear algebra - MA 262 Taken from Differential equations and linear algebra by Goode and Annin Samy T. First

More information

Chapter 5: Integrals

Chapter 5: Integrals Chapter 5: Integrals Section 5.3 The Fundamental Theorem of Calculus Sec. 5.3: The Fundamental Theorem of Calculus Fundamental Theorem of Calculus: Sec. 5.3: The Fundamental Theorem of Calculus Fundamental

More information

Lecture 7 - Separable Equations

Lecture 7 - Separable Equations Lecture 7 - Separable Equations Separable equations is a very special type of differential equations where you can separate the terms involving only y on one side of the equation and terms involving only

More information

SOLUTIONS OF SELECTED PROBLEMS

SOLUTIONS OF SELECTED PROBLEMS SOLUTIONS OF SELECTED PROBLEMS Problem 36, p. 63 If µ(e n < and χ En f in L, then f is a.e. equal to a characteristic function of a measurable set. Solution: By Corollary.3, there esists a subsequence

More information

SOLUTIONS TO EXAM II, MATH f(x)dx where a table of values for the function f(x) is given below.

SOLUTIONS TO EXAM II, MATH f(x)dx where a table of values for the function f(x) is given below. SOLUTIONS TO EXAM II, MATH 56 Use Simpson s rule with n = 6 to approximate the integral f(x)dx where a table of values for the function f(x) is given below x 5 5 75 5 5 75 5 5 f(x) - - x 75 5 5 75 5 5

More information

How to Use Calculus Like a Physicist

How to Use Calculus Like a Physicist How to Use Calculus Like a Physicist Physics A300 Fall 2004 The purpose of these notes is to make contact between the abstract descriptions you may have seen in your calculus classes and the applications

More information

Updated: January 16, 2016 Calculus II 7.4. Math 230. Calculus II. Brian Veitch Fall 2015 Northern Illinois University

Updated: January 16, 2016 Calculus II 7.4. Math 230. Calculus II. Brian Veitch Fall 2015 Northern Illinois University Math 30 Calculus II Brian Veitch Fall 015 Northern Illinois University Integration of Rational Functions by Partial Fractions From algebra, we learned how to find common denominators so we can do something

More information

Math 4B Notes. Written by Victoria Kala SH 6432u Office Hours: T 12:45 1:45pm Last updated 7/24/2016

Math 4B Notes. Written by Victoria Kala SH 6432u Office Hours: T 12:45 1:45pm Last updated 7/24/2016 Math 4B Notes Written by Victoria Kala vtkala@math.ucsb.edu SH 6432u Office Hours: T 2:45 :45pm Last updated 7/24/206 Classification of Differential Equations The order of a differential equation is the

More information

Arc Length and Surface Area in Parametric Equations

Arc Length and Surface Area in Parametric Equations Arc Length and Surface Area in Parametric Equations MATH 211, Calculus II J. Robert Buchanan Department of Mathematics Spring 2011 Background We have developed definite integral formulas for arc length

More information

MATH 280 Multivariate Calculus Fall Integrating a vector field over a surface

MATH 280 Multivariate Calculus Fall Integrating a vector field over a surface MATH 280 Multivariate Calculus Fall 2011 Definition Integrating a vector field over a surface We are given a vector field F in space and an oriented surface in the domain of F as shown in the figure below

More information

Multiple Integrals. Introduction and Double Integrals Over Rectangular Regions. Philippe B. Laval. Spring 2012 KSU

Multiple Integrals. Introduction and Double Integrals Over Rectangular Regions. Philippe B. Laval. Spring 2012 KSU Multiple Integrals Introduction and Double Integrals Over Rectangular Regions Philippe B Laval KSU Spring 2012 Philippe B Laval (KSU) Multiple Integrals Spring 2012 1 / 21 Introduction In this section

More information

Functions of Several Variables: Limits and Continuity

Functions of Several Variables: Limits and Continuity Functions of Several Variables: Limits and Continuity Philippe B. Laval KSU Today Philippe B. Laval (KSU) Limits and Continuity Today 1 / 24 Introduction We extend the notion of its studied in Calculus

More information

Math Reading assignment for Chapter 1: Study Sections 1.1 and 1.2.

Math Reading assignment for Chapter 1: Study Sections 1.1 and 1.2. Math 3350 1 Chapter 1 Reading assignment for Chapter 1: Study Sections 1.1 and 1.2. 1.1 Material for Section 1.1 An Ordinary Differential Equation (ODE) is a relation between an independent variable x

More information

8.2. strong Markov property and reflection principle. These are concepts that you can use to compute probabilities for Brownian motion.

8.2. strong Markov property and reflection principle. These are concepts that you can use to compute probabilities for Brownian motion. 62 BROWNIAN MOTION 8.2. strong Markov property and reflection principle. These are concepts that you can use to compute proailities for Brownian motion. 8.2.. strong Markov property. a) Brownian motion

More information

Complex Differentials and the Stokes, Goursat and Cauchy Theorems

Complex Differentials and the Stokes, Goursat and Cauchy Theorems Complex Differentials and the Stokes, Goursat and Cauchy Theorems Benjamin McKay June 21, 2001 1 Stokes theorem Theorem 1 (Stokes) f(x, y) dx + g(x, y) dy = U ( g y f ) dx dy x where U is a region of the

More information

First Order Differential Equations

First Order Differential Equations First Order Differential Equations Linear Equations Philippe B. Laval KSU Philippe B. Laval (KSU) 1st Order Linear Equations 1 / 11 Introduction We are still looking at 1st order equations. In today s

More information

Calculus IV - HW 2 MA 214. Due 6/29

Calculus IV - HW 2 MA 214. Due 6/29 Calculus IV - HW 2 MA 214 Due 6/29 Section 2.5 1. (Problems 3 and 5 from B&D) The following problems involve differential equations of the form dy = f(y). For each, sketch the graph of f(y) versus y, determine

More information

HAND IN PART. Prof. Girardi Math 142 Spring Exam 3 PIN:

HAND IN PART. Prof. Girardi Math 142 Spring Exam 3 PIN: HAND IN PART Prof. Girardi Math 142 Spring 2014 04.17.2014 Exam 3 MARK BOX problem points possible your score 0A 9 0B 8 0C 10 0D 12 NAME: PIN: solution key Total for 0 39 Total for 1 10 61 % 100 INSTRUCTIONS

More information

Solutions to old Exam 3 problems

Solutions to old Exam 3 problems Solutions to old Exam 3 problems Hi students! I am putting this version of my review for the Final exam review here on the web site, place and time to be announced. Enjoy!! Best, Bill Meeks PS. There are

More information

M343 Homework 3 Enrique Areyan May 17, 2013

M343 Homework 3 Enrique Areyan May 17, 2013 M343 Homework 3 Enrique Areyan May 17, 013 Section.6 3. Consider the equation: (3x xy + )dx + (6y x + 3)dy = 0. Let M(x, y) = 3x xy + and N(x, y) = 6y x + 3. Since: y = x = N We can conclude that this

More information

Here is a summary of our last chapter, where we express a periodic wave as a Fourier series.

Here is a summary of our last chapter, where we express a periodic wave as a Fourier series. Theoretical Physics Prof Ruiz, UNC Asheville, doctorphys on YouTube Chapter P Notes Fourier Transforms P Fourier Series with Exponentials Here is a summary of our last chapter, where we express a periodic

More information

Spring 2011 solutions. We solve this via integration by parts with u = x 2 du = 2xdx. This is another integration by parts with u = x du = dx and

Spring 2011 solutions. We solve this via integration by parts with u = x 2 du = 2xdx. This is another integration by parts with u = x du = dx and Math - 8 Rahman Final Eam Practice Problems () We use disks to solve this, Spring solutions V π (e ) d π e d. We solve this via integration by parts with u du d and dv e d v e /, V π e π e d. This is another

More information

Lecture 7: Differential Equations

Lecture 7: Differential Equations Math 94 Professor: Padraic Bartlett Lecture 7: Differential Equations Week 7 UCSB 205 This is the seventh week of the Mathematics Subject Test GRE prep course; here, we review various techniques used to

More information

Calculus for Engineers II - Sample Problems on Integrals Manuela Kulaxizi

Calculus for Engineers II - Sample Problems on Integrals Manuela Kulaxizi Calculus for Engineers II - Sample Problems on Integrals Manuela Kulaxizi Question : Solve the following integrals:. π sin x. x 4 3. 4. sinh 8 x cosh x sin x cos 7 x 5. x 5 ln x 6. 8x + 6 3x + x 7. 8..

More information

AP Calculus BC - Problem Solving Drill 19: Parametric Functions and Polar Functions

AP Calculus BC - Problem Solving Drill 19: Parametric Functions and Polar Functions AP Calculus BC - Problem Solving Drill 19: Parametric Functions and Polar Functions Question No. 1 of 10 Instructions: (1) Read the problem and answer choices carefully () Work the problems on paper as

More information

MATH 320, WEEK 4: Exact Differential Equations, Applications

MATH 320, WEEK 4: Exact Differential Equations, Applications MATH 320, WEEK 4: Exact Differential Equations, Applications 1 Exact Differential Equations We saw that the trick for first-order differential equations was to recognize the general property that the product

More information

(1 + 2y)y = x. ( x. The right-hand side is a standard integral, so in the end we have the implicit solution. y(x) + y 2 (x) = x2 2 +C.

(1 + 2y)y = x. ( x. The right-hand side is a standard integral, so in the end we have the implicit solution. y(x) + y 2 (x) = x2 2 +C. Midterm 1 33B-1 015 October 1 Find the exact solution of the initial value problem. Indicate the interval of existence. y = x, y( 1) = 0. 1 + y Solution. We observe that the equation is separable, and

More information

DIFFERENTIATION AND INTEGRATION PART 1. Mr C s IB Standard Notes

DIFFERENTIATION AND INTEGRATION PART 1. Mr C s IB Standard Notes DIFFERENTIATION AND INTEGRATION PART 1 Mr C s IB Standard Notes In this PDF you can find the following: 1. Notation 2. Keywords Make sure you read through everything and the try examples for yourself before

More information

Math 1 Lecture 22. Dartmouth College. Monday

Math 1 Lecture 22. Dartmouth College. Monday Math 1 Lecture 22 Dartmouth College Monday 10-31-16 Contents Reminders/Announcements Last Time Implicit Differentiation Derivatives of Inverse Functions Derivatives of Inverse Trigonometric Functions Examish

More information

FINAL - PART 1 MATH 150 SPRING 2017 KUNIYUKI PART 1: 135 POINTS, PART 2: 115 POINTS, TOTAL: 250 POINTS No notes, books, or calculators allowed.

FINAL - PART 1 MATH 150 SPRING 2017 KUNIYUKI PART 1: 135 POINTS, PART 2: 115 POINTS, TOTAL: 250 POINTS No notes, books, or calculators allowed. Math 150 Name: FINAL - PART 1 MATH 150 SPRING 2017 KUNIYUKI PART 1: 135 POINTS, PART 2: 115 POINTS, TOTAL: 250 POINTS No notes, books, or calculators allowed. 135 points: 45 problems, 3 pts. each. You

More information

1 Mathematical Models

1 Mathematical Models Intro to Math Modeling Math 263 - ODE for Engineers Lecture 1-1/9/18 Abstract In today s lecture we discuss mathematical modeling in the context of natural sciences. The goal is to derive a class of mathematical

More information

worked out from first principles by parameterizing the path, etc. If however C is a A path C is a simple closed path if and only if the starting point

worked out from first principles by parameterizing the path, etc. If however C is a A path C is a simple closed path if and only if the starting point III.c Green s Theorem As mentioned repeatedly, if F is not a gradient field then F dr must be worked out from first principles by parameterizing the path, etc. If however is a simple closed path in the

More information

5.9 Representations of Functions as a Power Series

5.9 Representations of Functions as a Power Series 5.9 Representations of Functions as a Power Series Example 5.58. The following geometric series x n + x + x 2 + x 3 + x 4 +... will converge when < x

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

Archive of Calculus IV Questions Noel Brady Department of Mathematics University of Oklahoma

Archive of Calculus IV Questions Noel Brady Department of Mathematics University of Oklahoma Archive of Calculus IV Questions Noel Brady Department of Mathematics University of Oklahoma This is an archive of past Calculus IV exam questions. You should first attempt the questions without looking

More information

Problem 1 (Equations with the dependent variable missing) By means of the substitutions. v = dy dt, dv

Problem 1 (Equations with the dependent variable missing) By means of the substitutions. v = dy dt, dv V Problem 1 (Equations with the dependent variable missing) By means of the substitutions v = dy dt, dv dt = d2 y dt 2 solve the following second-order differential equations 1. t 2 d2 y dt + 2tdy 1 =

More information

Math 192r, Problem Set #3: Solutions

Math 192r, Problem Set #3: Solutions Math 192r Problem Set #3: Solutions 1. Let F n be the nth Fibonacci number as Wilf indexes them (with F 0 F 1 1 F 2 2 etc.). Give a simple homogeneous linear recurrence relation satisfied by the sequence

More information

Practice Midterm Solutions

Practice Midterm Solutions Practice Midterm Solutions Math 4B: Ordinary Differential Equations Winter 20 University of California, Santa Barbara TA: Victoria Kala DO NOT LOOK AT THESE SOLUTIONS UNTIL YOU HAVE ATTEMPTED EVERY PROBLEM

More information

Math 217 Fall 2000 Exam Suppose that y( x ) is a solution to the differential equation

Math 217 Fall 2000 Exam Suppose that y( x ) is a solution to the differential equation Math 17 Fall 000 Exam 1 Notational Remark: In this exam, the symbol x y( x ) means dy dx. 1. Suppose that y( x ) is a solution to the differential equation, x y( x ) F ( x, y( x )) y( x ) 0 y 0. Then y'(x

More information

Multiple Integrals. Introduction and Double Integrals Over Rectangular Regions. Philippe B. Laval KSU. Today

Multiple Integrals. Introduction and Double Integrals Over Rectangular Regions. Philippe B. Laval KSU. Today Multiple Integrals Introduction and Double Integrals Over Rectangular Regions Philippe B. Laval KSU Today Philippe B. Laval (KSU) Double Integrals Today 1 / 21 Introduction In this section we define multiple

More information

Implicit Differentiation and Inverse Trigonometric Functions

Implicit Differentiation and Inverse Trigonometric Functions Implicit Differentiation an Inverse Trigonometric Functions MATH 161 Calculus I J. Robert Buchanan Department of Mathematics Summer 2018 Explicit vs. Implicit Functions 0.5 1 y 0.0 y 2 0.5 3 4 1.0 0.5

More information

Chapter 5: Integrals

Chapter 5: Integrals Chapter 5: Integrals Section 5.5 The Substitution Rule (u-substitution) Sec. 5.5: The Substitution Rule We know how to find the derivative of any combination of functions Sum rule Difference rule Constant

More information

Chapter 2. First-Order Differential Equations

Chapter 2. First-Order Differential Equations Chapter 2 First-Order Differential Equations i Let M(x, y) + N(x, y) = 0 Some equations can be written in the form A(x) + B(y) = 0 DEFINITION 2.2. (Separable Equation) A first-order differential equation

More information

Integration by Substitution

Integration by Substitution Integration by Substitution Dr. Philippe B. Laval Kennesaw State University Abstract This handout contains material on a very important integration method called integration by substitution. Substitution

More information

THE NATIONAL UNIVERSITY OF IRELAND, CORK COLÁISTE NA hollscoile, CORCAIGH UNIVERSITY COLLEGE, CORK. Summer Examination 2009.

THE NATIONAL UNIVERSITY OF IRELAND, CORK COLÁISTE NA hollscoile, CORCAIGH UNIVERSITY COLLEGE, CORK. Summer Examination 2009. OLLSCOIL NA héireann, CORCAIGH THE NATIONAL UNIVERSITY OF IRELAND, CORK COLÁISTE NA hollscoile, CORCAIGH UNIVERSITY COLLEGE, CORK Summer Examination 2009 First Engineering MA008 Calculus and Linear Algebra

More information

Math 123, Week 9: Separable, First-Order Linear, and Substitution Methods. Section 1: Separable DEs

Math 123, Week 9: Separable, First-Order Linear, and Substitution Methods. Section 1: Separable DEs Math 123, Week 9: Separable, First-Order Linear, and Substitution Methods Section 1: Separable DEs We are finally to the point in the course where we can consider how to find solutions to differential

More information

Section 4.8 Anti Derivative and Indefinite Integrals 2 Lectures. Dr. Abdulla Eid. College of Science. MATHS 101: Calculus I

Section 4.8 Anti Derivative and Indefinite Integrals 2 Lectures. Dr. Abdulla Eid. College of Science. MATHS 101: Calculus I Section 4.8 Anti Derivative and Indefinite Integrals 2 Lectures College of Science MATHS 101: Calculus I (University of Bahrain) 1 / 28 Indefinite Integral Given a function f, if F is a function such that

More information

MATH 1231 MATHEMATICS 1B Calculus Section 3A: - First order ODEs.

MATH 1231 MATHEMATICS 1B Calculus Section 3A: - First order ODEs. MATH 1231 MATHEMATICS 1B 2010. For use in Dr Chris Tisdell s lectures. Calculus Section 3A: - First order ODEs. Created and compiled by Chris Tisdell S1: What is an ODE? S2: Motivation S3: Types and orders

More information

DIFFERENTIAL EQUATIONS

DIFFERENTIAL EQUATIONS Mr. Isaac Akpor Adjei (MSc. Mathematics, MSc. Biostats) isaac.adjei@gmail.com April 7, 2017 ORDINARY In many physical situation, equation arise which involve differential coefficients. For example: 1 The

More information

Taylor and Maclaurin Series

Taylor and Maclaurin Series Taylor and Maclaurin Series MATH 211, Calculus II J. Robert Buchanan Department of Mathematics Spring 2018 Background We have seen that some power series converge. When they do, we can think of them as

More information

2 Linear Differential Equations General Theory Linear Equations with Constant Coefficients Operator Methods...

2 Linear Differential Equations General Theory Linear Equations with Constant Coefficients Operator Methods... MA322 Ordinary Differential Equations Wong Yan Loi 2 Contents First Order Differential Equations 5 Introduction 5 2 Exact Equations, Integrating Factors 8 3 First Order Linear Equations 4 First Order Implicit

More information

1 Antiderivatives graphically and numerically

1 Antiderivatives graphically and numerically Math B - Calculus by Hughes-Hallett, et al. Chapter 6 - Constructing antiderivatives Prepared by Jason Gaddis Antiderivatives graphically and numerically Definition.. The antiderivative of a function f

More information

Stokes and the Surveyor s Shoelaces

Stokes and the Surveyor s Shoelaces Stokes and the Surveyor s Shoelaces Dr. LaLonde UT Tyler Math Club February 15, 2017 Finding Areas of Polygons Problem: Is there a way to quickly find the area of a polygon just by knowing where its vertices

More information

Inverse Kinematics. Mike Bailey.

Inverse Kinematics. Mike Bailey. Inverse Kinematics This work is licensed under a Creative Commons Attribution-NonCommercial- NoDerivatives 4.0 International License Mike Bailey mjb@cs.oregonstate.edu inversekinematics.pptx Inverse Kinematics

More information

Practice Midterm 1 Solutions Written by Victoria Kala July 10, 2017

Practice Midterm 1 Solutions Written by Victoria Kala July 10, 2017 Practice Midterm 1 Solutions Written by Victoria Kala July 10, 2017 1. Use the slope field plotter link in Gauchospace to check your solution. 2. (a) Not linear because of the y 2 sin x term (b) Not linear

More information

Math Final Exam

Math Final Exam Math 221 - Final Exam University of Utah Summer 27 Name: s 1. (1 points) For the vectors: Calculate: (a) (2 points) a + b a = 3i + 2j 2k and b = i + 2j 4k. a + b = ( 3 + ( 1))i + (2 + 2)j + ( 2 + ( 4))k

More information

First order differential Equations

First order differential Equations Chapter 10 First order differential Equations 10.1 What is a Differential Equation? A differential equation is an equation involving an unknown function and its derivatives. A general differential equation

More information

Math Refresher Course

Math Refresher Course Math Refresher Course Columbia University Department of Political Science Fall 2007 Day 2 Prepared by Jessamyn Blau 6 Calculus CONT D 6.9 Antiderivatives and Integration Integration is the reverse of differentiation.

More information

Lecture Notes 1. First Order ODE s. 1. First Order Linear equations A first order homogeneous linear ordinary differential equation (ODE) has the form

Lecture Notes 1. First Order ODE s. 1. First Order Linear equations A first order homogeneous linear ordinary differential equation (ODE) has the form Lecture Notes 1 First Order ODE s 1. First Order Linear equations A first order homogeneous linear ordinary differential equation (ODE) has the form This equation we rewrite in the form or From the last

More information

MATH 1231 S2 2010: Calculus. Section 2: Techniques of integration.

MATH 1231 S2 2010: Calculus. Section 2: Techniques of integration. MATH 1231 S2 2010: Calculus For use in Dr Chris Tisdell s lectures Section 2: Techniques of integration. Created and compiled by Chris Tisdell S1: Motivation S2: What you should already know S3: Integrals

More information