Engineering Mathematics I

Similar documents
Introduction to Differential Equations

Introduction to Differential Equations. National Chiao Tung University Chun-Jen Tsai 9/14/2011

Systems of Linear Equations: Solving by Graphing

INTRODUCTION TO DIFFERENTIAL EQUATIONS

Ordinary Differential Equations

Introduction to Differential Equations

Roberto s Notes on Integral Calculus Chapter 3: Basics of differential equations Section 3. Separable ODE s

Exact Differential Equations. The general solution of the equation is f x, y C. If f has continuous second partials, then M y 2 f

4.3 Mean-Value Theorem and Monotonicity

FIRST- AND SECOND-ORDER IVPS The problem given in (1) is also called an nth-order initial-value problem. For example, Solve: Solve:

DIFFERENTIAL EQUATION

Second-Order Linear Differential Equations C 2

Exact Equations. M(x,y) + N(x,y) y = 0, M(x,y) dx + N(x,y) dy = 0. M(x,y) + N(x,y) y = 0

2.8 Implicit Differentiation

SEPARABLE EQUATIONS 2.2

2.2 SEPARABLE VARIABLES

Section B. Ordinary Differential Equations & its Applications Maths II

Unit 12 Study Notes 1 Systems of Equations

SPS Mathematical Methods

Basics Concepts and Ideas First Order Differential Equations. Dr. Omar R. Daoud

Ordinary Differential Equations of First Order

Eigenvectors and Eigenvalues 1

15. Eigenvalues, Eigenvectors

First Order Equations

ENGI 3424 Mid Term Test Solutions Page 1 of 9

Section 4.1 Increasing and Decreasing Functions

Trigonometric. equations. Topic: Periodic functions and applications. Simple trigonometric. equations. Equations using radians Further trigonometric

APPENDIX D Rotation and the General Second-Degree Equation

MATH LECTURE NOTES FIRST ORDER SEPARABLE DIFFERENTIAL EQUATIONS OVERVIEW

Lecture 2: Separable Ordinary Differential Equations

Derivatives 2: The Derivative at a Point

Math 3201 UNIT 5: Polynomial Functions NOTES. Characteristics of Graphs and Equations of Polynomials Functions

Section 1.2: A Catalog of Functions

Chapter 18 Quadratic Function 2

Contents: V.1 Ordinary Differential Equations - Basics

v t t t t a t v t d dt t t t t t 23.61

4.317 d 4 y. 4 dx d 2 y dy. 20. dt d 2 x. 21. y 3y 3y y y 6y 12y 8y y (4) y y y (4) 2y y 0. d 4 y 26.

In everyday speech, a continuous. Limits and Continuity. Critical Thinking Exercises

Chapter 2: Solution of First order ODE

3.7 InveRSe FUnCTIOnS

Lecture 5. Equations of Lines and Planes. Dan Nichols MATH 233, Spring 2018 University of Massachusetts.

Review of Prerequisite Skills, p. 350 C( 2, 0, 1) B( 3, 2, 0) y A(0, 1, 0) D(0, 2, 3) j! k! 2k! Section 7.1, pp

Rigid Body Transforms-3D. J.C. Dill transforms3d 27Jan99

Methods of Solving Ordinary Differential Equations (Online)

Particular Solutions

What is the limit of a function? Intuitively, we want the limit to say that as x gets closer to some value a,

4 The Cartesian Coordinate System- Pictures of Equations

6.4 graphs OF logarithmic FUnCTIOnS

Jones & Bartlett Learning, LLC NOT FOR SALE OR DISTRIBUTION. Jones & Bartlett Learning, LLC NOT FOR SALE OR DISTRIBUTION

Additional Topics in Differential Equations

Vector Fields. Field (II) Field (V)

Additional Topics in Differential Equations

Ordinary Differential Equations n

Autonomous Equations / Stability of Equilibrium Solutions. y = f (y).

14.1 Systems of Linear Equations in Two Variables

DIFFERENTIAL EQUATION. Contents. Theory Exercise Exercise Exercise Exercise

14.5 The Chain Rule. dx dt

Jones & Bartlett Learning, LLC, an Ascend Learning Company. NOT FOR SALE OR DISTRIBUTION

EXERCISES FOR SECTION 3.1

10.3 Solving Nonlinear Systems of Equations

7.1 Practice A. w y represents the height of an object t seconds. Name Date

Maintaining Mathematical Proficiency

In this chapter a student has to learn the Concept of adjoint of a matrix. Inverse of a matrix. Rank of a matrix and methods finding these.

Analytic Geometry in Three Dimensions

Fitting Integrands to Basic Rules. x x 2 9 dx. Solution a. Use the Arctangent Rule and let u x and a dx arctan x 3 C. 2 du u.

Math 214 Spring problem set (a) Consider these two first order equations. (I) dy dx = x + 1 dy

MATH Line integrals III Fall The fundamental theorem of line integrals. In general C

1.2 Functions and Their Properties PreCalculus

R = { } Fill-in-the-Table with the missing vocabulary terms: 1) 2) Fill-in-the-blanks: Function

Derivatives CHAPTER. 3.1 Derivative of a Function. 3.2 Differentiability. 3.3 Rules for Differentiation. 3.4 Velocity and Other Rates of Change

Section 3.1. ; X = (0, 1]. (i) f : R R R, f (x, y) = x y

Cumulative Review of Vectors

Differential Equations

1.7 Inverse Functions

Fitting Integrands to Basic Rules

CHAPTER 2. First-Order Differential Equations CHAPTER CONTENTS. Jones & Bartlett Learning, LLC NOT FOR SALE OR DISTRIBUTION

Introduction to Vector Spaces Linear Algebra, Spring 2011

For questions 5-8, solve each inequality and graph the solution set. You must show work for full credit. (2 pts each)

One of the most common applications of Calculus involves determining maximum or minimum values.

CHAPTER 2: Partial Derivatives. 2.2 Increments and Differential

1. First-order ODE s

Review of Essential Skills and Knowledge

Section Differential Equations: Modeling, Slope Fields, and Euler s Method

Essential Question How can you solve a system of linear equations? $15 per night. Cost, C (in dollars) $75 per Number of. Revenue, R (in dollars)

Functions. Introduction

3.2 Understanding Relations and Functions-NOTES

Get Solution of These Packages & Learn by Video Tutorials on SHORT REVISION

5.6. Differential equations

Fixed Point Theorem and Sequences in One or Two Dimensions

Mathematics 309 Conic sections and their applicationsn. Chapter 2. Quadric figures. ai,j x i x j + b i x i + c =0. 1. Coordinate changes

10.4 Nonlinear Inequalities and Systems of Inequalities. OBJECTIVES 1 Graph a Nonlinear Inequality. 2 Graph a System of Nonlinear Inequalities.

Section 8.5 Parametric Equations

Ch 3 Alg 2 Note Sheet.doc 3.1 Graphing Systems of Equations

NST1A: Mathematics II (Course A) End of Course Summary, Lent 2011

5.7 Differential Equations: Separation of Variables Calculus

4.3 Exercises. local maximum or minimum. The second derivative is. e 1 x 2x 1. f x x 2 e 1 x 1 x 2 e 1 x 2x x 4

MATH 2300 review problems for Exam 3 ANSWERS

Problem set 6 Math 207A, Fall 2011 Solutions. 1. A two-dimensional gradient system has the form

12.1 Systems of Linear equations: Substitution and Elimination

or just I if the set A is clear. Hence we have for all x in A the identity function I ( )

Transcription:

Engineering Mathematics I_ 017 Engineering Mathematics I 1. Introduction to Differential Equations Dr. Rami Zakaria Terminolog Differential Equation Ordinar Differential Equations Partial Differential Equations Initial-Value Problem Nomenclature DE ODE PDE IVP Ref [1] Advanced Engineering Mathematics, 4th ed., b Dennis G. Zill & Warren S. Wright

Part 1: A review of the concept of differentiation

The concept of differentiation Suppose we have a variable that is a function of another variable, such as = f (). the rate Δ/ Δ eplains how fast changes for a certain shift in the value of. For a simple function such as =5, if changes from 1 to 4 (for eample), moves from 5 to 0. Therefore, the rate Δ/ Δ = 5 alwas!

Remember the definition of the derivative of a function: f ( ) lim f ( ) f ( ) 0 0 lim d it is not practical to appl the previous relation ever time we se ek to calculate the derivative of a function. This is wh we gath ered rules that we can appl directl according to the tpe of the function (see the attached table DERIVATIVES AND INTEGRALS ). Note: in this class we will use the (prime notion):,,,,..., n d d d d, and the derivative shape:,,,..., n (4) ( n) 4 ( Although we will avoid using the dot notion, ou should be aware of it)

The graphical meaning of differentiation The first derivative f of a curve f at a certain point is the tangent line on the curve at that point. f ) ( 0 m L 5 The first derivative f can be estimated from the slope of the tangent line at each point of f.

Dependent & Independent Variables When we write = f (), we are impling that reacts to t he changes of. In other words, changes first then foll ows. In this case, we call an independent variable, and a dependent variable. If we have T(,t) or T(t,), then T is dependent on both t a nd. In models, we can understand the independent variables as the inputs, while the dependent variables as the output. 6

Ordinar and Partial Derivatives Let f () be a function dependent onl on. We can then d calculate the ordinar derivative f () If we have g(,t) a function dependent on both and t, then it is possible to calculate the partial derivatives: f (, t) and f (, t) t 7 When we calculate a partial derivative we assume that one independent variable is changing while the others are constants.

8? ), ( Ordinar Derivative (Total Derivative!) ), ( Derivative Partial ), ( Derivative Partial ) ( Ordinar Derivative ) ( Ordinar Derivative ), (, ) ( 1, ) ( dt df f f e t dt d t t dt d f e t t t t t Eample - we have the following functions:

Part : Definition and Classification of A Differential Equation 9

What is a differential equation? A differential equation (DE) is an equation that contains the derivatives of one or more dependent variables, with respect to one or more independent variables. For eample: d is a differential equation where { }is the independent variable and { () } is the dependent variable A derivative of a function f() is another function f ()=d/, that can be found using the general differentiation rules. For eample : 1 e 5 6 Or: d e 6 e 10 If [] is m equation, then I can sa that [1] is a solution for that equation.

Another eample; If I have this differential equation: Then can ou tell if 4e 0.5 is a solution for it? The answer is es! It is a solution. In fact, this is not the onl solution. 0.5 Tr for eample ou will find it is also a solution. 6e But the big question is: HOW CAN I FIND THESE SOLUTIONS? We will answer this question during this course, but before that, we need to classif differential equations b tpe, order, and linearit. 11

Classification of Differential Equations Tpe ODE : Ordinar Differential Equation Contains derivates of onl one independent variable. Eamples: d sin d d e dt dt Order The order of a differential equation is the order of the highest derivative. Eamples: d d 0 e 4 order Linearit Linear Or Non-linear PDE : Partial Differential Equation Contains derivates of more than one independent variable. Eamples: t u u u t 1 0 The degree of a differential equation is power of the highest order derivative term. Eample: d d d d Degree 5 0 a 0 degree 1

Linear Differential Equation A differential equation is linear, if : 1. dependent variable and its derivatives are of degree one,. coefficients of a term do not depend upon dependent variable. Eamples: 1. d d 9 0. is linear.. 4 d d 6 is non - linear because in nd term is not of degree one. d d. is non - linear because in nd term coefficient depends on. 1

n th order linear differential equation 1. n th order linear differential equation with constant coefficients. a n d n n a n1 d 1... n1 a d a d n 1 0 a g. n th order linear differential equation with variable coefficients a n d n1 d 1... n a a a a g d d n 1 0 14

Solution of an ODE A function ϕ() is a solution of an ODE on an interval (domain) I, if it satisfies the ODE on I. For Eample : =+c 1 is a solution of a 1 st order ODE On the interval (-, ) d Eercise (P5) : Verif that : 1 16 4 is a solution of the DE: 0.5 On the interval (-, ) Solution: Left-hand side: 4 16 4 15 right-hand side: 0.5 0.5 4 16 4 Notice in this eample =0 is one of the solutions. In DEs we call the zero solution a trivial solution.

Eplicit and Implicit solutions An Eplicit Solution is a solution where the dependent variable is epressed in terms of the independent variable and constants. In other words, it is a solution written as =ϕ(). Sometimes, when we solve a DE, we don t directl get an eplicit solution. Instead we find a function G(,)=0 that satisfies the equation; we call it an Implicit Solution. Eample : 5 is an implicit solution of the differential equation d In fact an function c would satisf the equation; where c is an arbitrar constant 16

Another eample: 4 9 c is a solution for the DE: 9 4 0 Notice that the solution is a famil of ellipses. Observe that at an given point ( 0, 0 ), there is a particular solution (unique) curve of the above equation which goes through the given point. We call this tpe of solution a Famil of solutions or a General Solution * Remember that an equation can also have a singular solution that is not a member of a famil! A Sstem of Differential Equations: Until now we are discussing one differential equation. But in man cases we will need to solve two or more equations that share the same independent variable together. For eample, when we look for a solution of this sstem of equations: f ( t,, ) dt d g( t,, ) dt we are actuall looking for solutions =ϕ1(t) and = ϕ(t) that satisf the two equations at the same time. 17 * Usuall we use the term General Solution if the famil of solutions are the onl solutions of the equation (which is true in man cases).

Eercises: 1. Determine the order and linearit of the following ODE: Equation Order Linearit d d 0 Non-linear t u (4) uu t 0 sin e 4 18 1 e

5. Verif that : 4 4 0 c1e ce is a general solution (famil of solutions) for the ODE: 0 6. Verif that : is a solution for : 0 on the interval (-, ) 0 19 See more eamples at P.10

. Verif that : / e is a solution of the ODE: 0. Verif that : e cos is a solution of the ODE: 6 1 0 0 See more eamples at P.9

4. Verif that : 1 is an implicit solution of the ODE: ( ) d 0 and then find the eplicit solution(s). 1

6. Determine if : 5 9 has (accepts) a constant solution or not. Assume: Then: c c 9 c 0 is a solution 7. Determine if : 1 1 has (accepts) a constant solution or not. 8. Determine if pair of functions: e t is a solution for the sstem of differential equations: 6t t e, e 6t 5e d, 5 dt dt