MATH , 06 Differential Equations Section 03: MWF 1:00pm-1:50pm McLaury 306 Section 06: MWF 3:00pm-3:50pm EEP 208

Size: px
Start display at page:

Download "MATH , 06 Differential Equations Section 03: MWF 1:00pm-1:50pm McLaury 306 Section 06: MWF 3:00pm-3:50pm EEP 208"

Transcription

1 MATH , 06 Differential Equations Section 03: MWF 1:00pm-1:50pm McLaury 306 Section 06: MWF 3:00pm-3:50pm EEP 208 Instructor: Brent Deschamp Office: McLaury 316B Phone: Website: bescham Office Hours: Monay 10-11am Tuesay 9-10am, 3-4pm Wenesay 2-3pm Thursay Friay 10-11am An by appointment Text: A First Course in Differential Equations by Dennis G. Zill, Tenth Eition. Course Description: Selecte topics from orinary ifferential equations incluing evelopment an applications of first orer, higher orer linear, an systems of linear equations, general solutions an solutions to initial-value problems using matrices. Aitional topics may inclue Laplace transforms an power series solutions. MATH 225 an MATH 321 may be taken concurrently or in either orer. In aition to analytical methos this course will also provie an introuction to numerical solution techniques. Prerequisites: MATH 125 with a minimum grae of C. 3 creits. Course Outcomes: A stuent who successfully completes this course shoul be able to: 1. Ientify an appropriate metho an use it to solve first orer orinary ifferential equation. 2. Solve homogeneous an non-homogeneous higher-orer orinary ifferential equations. 3. Implement the use of Laplace Transforms to solve an orinary ifferential equation. 4. Analyze an solve applications involving orinary ifferential equations. Some examples of applications inclue: circuits, vibrating systems, chemical mixing, an population moeling. 5. Apply the techniques for solving linear systems of orinary ifferential equations. 6. Implement the use of a software package to ai in solving ifferential equations numerically an analytically. Graing: Graing will be ifferent between the two sections. Be sure to rea the correct column in the following table. 1

2 Section 03 Section 06 Homework 17% 0% Quizzes 15% 15% Exam 1 17% 21% Exam 2 17% 21% Exam 3 17% 21% Exam 4 17% 22% Exams will be hel uring the common exam hour 7-8am on Thursays, ates to be etermine. The final exam is scheule for Wenesay, May 6, from 3-4:50pm. For the purposes of this class no grae of D will be given. Help: I am here to make sure you learn an unerstan the material. It is your job to let me know when you are having ifficulties. I will be gla to work aroun your scheule to help you. Stuents with special nees or requiring special accommoation shoul contact the instructor an the campus ADA coorinator at at the earliest opportunity. Technology: Maple 13 will be require. While computers are not banne from the classroom, the only reason you shoul have your computer out is to take notes. If you are taking notes, your computer screen shoul be own. This is a consequence of past problems, an this ecision has been mae in orer to improve stuent performance. Homework: Homework will be hanle ifferently between the two sections. Be careful to rea the correct section. Section 03: Homework will be assigne an collecte via WebAssign. You will nee to log in to the WebAssign website an enroll in this course. Homework will be ue one week after the material for that section is complete in class. Section 06: Homework will be assigne regularly, but will not be collecte. Assignments will be short, but will cover the material presente. Homework is a learning tool. If quiz an exam scores are low it is an inication that more homework shoul be one beyon what is assigne. Quizzes: Quizzes will be given regularly. They will mirror homework problems, an may be given one week after homework for that section has been assigne. The extra time provies an opportunity for questions. No warning of quizzes will be given. Quizzes are there to give you an inication of how well you unerstan the material. If quiz scores are low it is an inication that more homework shoul be one beyon what is assigne. Makeup quizzes will only be given for those who give avance notice of a legitimate absence. 2

3 Freeom in Learning: Uner Boar of Regents an University policy stuent acaemic performance may be evaluate solely on an acaemic basis, not on opinions or conuct in matters unrelate to acaemic stanars. Stuents shoul be free to take reasone exception to the ata or views offere in any course of stuy an to reserve jugment about matters of opinion, but they are responsible for learning the content of any course of stuy for which they are enrolle. Stuents who believe that an acaemic evaluation reflects prejuice or capricious consieration of stuent opinions or conuct unrelate to acaemic stanars shoul contact the ean of the college which offers the class to initiate a review of the evaluation. All of this is subject to change. 3

4 The Dealy Sins of Mathematics (Aapte from Dr. Kowalski) If any of the following mistakes are mae on a quiz or exam problem, zero points will be assigne as a grae for that problem. 1. False Distribution Thou shalt no istribute (or factor) anything across a sum (or ifference), except multiplication. a b+c a b + a c a+b c = a c + b c (a + b) c a c + b c Ex1: (x + 2) 2 x (x + 2) 2 = x 2 + 4x + 4 Ex2: t + 5 t + 5 sin (a + b) sin a + sin b e a+b e a + e b log (a + b) log a + log b log (ab) = log a + log b 2. False Cancellation Thou shalt not cancel any expression from a fraction, except common factors foun after thou hast factore first. ax+b a sin a sin b a b ln a ln b a b x + b 3. False Proucts Thou shalt not ifferentiate any prouct (or quotient, or composition) factor-by-factor. f (f(x)g(x)) ( f(x) g(x) g ) ( f(x) ) g(x) (f g)(x) f(x)g(x) (f g)(x) = f(g(x)) f ((f g)(x)) g 4

5 4. Trignorance Thou shalt not plea ignorance of trigonometric (or inverse trigonometric) functions at stanar values. Thou shalt also know the stanar trigonometric an inverse trigonometric erivatives an integrals. cos (2x) 2 cos (4x) tan 1 (x) cot x (tan x) 1 = cot x (sec (2x)) sec tan (2x) (sec (2x)) = 2 sec (2x) tan (2x) 5. Other common sins ln 0 0 ln 1 = 0 e a ln b ab e a ln b = e ln ba = b a = 3i ln (x) 1 x 5

6 MATH 321 Differential Equations Homework Assignments (Zill, Tenth Eition) Section Page Problems 1.1 Definitions , 13, Separable Equations , Linear Equations Linear Moels 90 3, 5, 9, Bernoulli ODE Reucing Secon Orer Equations see below Exam Homogeneous Equations (o) 4.2 Reuction of Orer , Metho of Unetermine Coefficients , Variation of Parameters 161 2, 3, 5, 6, 10, Linear Moels , 25, 29 Exam Laplace Transform , 25, 28, (use table) 7.2 Inverse Transforms 288 [1 9 (o), 11 13, 16, 17, 20, (o), 30] [31, 32, 35, 37, 39] 7.3 Operational Properties I 297 [27 30], [37 39, 41 43, 45, 47, 49 54, 63 68] 7.5 Dirac Delta Function 315 4, 5, 8, 10, 11 Exam Linear Systems 332 1, 7, Homogeneous Linear Systems 346 [1 3, 11], [33 35, 41], [22 25] 8.3 Nonhomogeneous Linear Systems , 15, Euler s Metho Runge-Kutta Methos Higher-Orer Methos Exam 4 Aitional problems for 2.5. Solve the following ODE s by reucing the ODE to first orer. 1. t 2 y + 2ty 1 = 0, t > 0 2. ty + y = 1, t > 0 3. y + t(y ) 2 = 0 4. y 2y = 2e 2t 5. y + y = e t 6. t 2 y = (y ) 2, t > 0 6

Math 1 Lecture 20. Dartmouth College. Wednesday

Math 1 Lecture 20. Dartmouth College. Wednesday Math 1 Lecture 20 Dartmouth College Wenesay 10-26-16 Contents Reminers/Announcements Last Time Derivatives of Trigonometric Functions Reminers/Announcements WebWork ue Friay x-hour problem session rop

More information

Derivative Methods: (csc(x)) = csc(x) cot(x)

Derivative Methods: (csc(x)) = csc(x) cot(x) EXAM 2 IS TUESDAY IN QUIZ SECTION Allowe:. A Ti-30x IIS Calculator 2. An 8.5 by inch sheet of hanwritten notes (front/back) 3. A pencil or black/blue pen Covers: 3.-3.6, 0.2, 3.9, 3.0, 4. Quick Review

More information

Antiderivatives. Definition (Antiderivative) If F (x) = f (x) we call F an antiderivative of f. Alan H. SteinUniversity of Connecticut

Antiderivatives. Definition (Antiderivative) If F (x) = f (x) we call F an antiderivative of f. Alan H. SteinUniversity of Connecticut Antierivatives Definition (Antierivative) If F (x) = f (x) we call F an antierivative of f. Antierivatives Definition (Antierivative) If F (x) = f (x) we call F an antierivative of f. Definition (Inefinite

More information

AP Calculus. Derivatives and Their Applications. Presenter Notes

AP Calculus. Derivatives and Their Applications. Presenter Notes AP Calculus Derivatives an Their Applications Presenter Notes 2017 2018 EDITION Copyright 2017 National Math + Science Initiative, Dallas, Texas. All rights reserve. Visit us online at www.nms.org Copyright

More information

Mathematics Calculus B for the Life & Social Sciences Spring Semester 2018

Mathematics Calculus B for the Life & Social Sciences Spring Semester 2018 Mathematics 0360 - Calculus B for the Life & Social Sciences Spring Semester 208 Text: Single Variable Calculus (3r E) - Early Transcenentals by Jon Rogawski & Colin Aams Publisher: W. H. Freeman & Co.

More information

Summary: Differentiation

Summary: Differentiation Techniques of Differentiation. Inverse Trigonometric functions The basic formulas (available in MF5 are: Summary: Differentiation ( sin ( cos The basic formula can be generalize as follows: Note: ( sin

More information

SYDE 112, LECTURE 1: Review & Antidifferentiation

SYDE 112, LECTURE 1: Review & Antidifferentiation SYDE 112, LECTURE 1: Review & Antiifferentiation 1 Course Information For a etaile breakown of the course content an available resources, see the Course Outline. Other relevant information for this section

More information

MTH 133 Exam 1 February 21, Without fully opening the exam, check that you have pages 1 through 11.

MTH 133 Exam 1 February 21, Without fully opening the exam, check that you have pages 1 through 11. Name: Section: Recitation Instructor: INSTRUCTIONS Fill in your name, etc. on this first page. Without fully opening the eam, check that you have pages through. Show all your work on the stanar response

More information

Computing Derivatives Solutions

Computing Derivatives Solutions Stuent Stuy Session Solutions We have intentionally inclue more material than can be covere in most Stuent Stuy Sessions to account for groups that are able to answer the questions at a faster rate. Use

More information

d dx [xn ] = nx n 1. (1) dy dx = 4x4 1 = 4x 3. Theorem 1.3 (Derivative of a constant function). If f(x) = k and k is a constant, then f (x) = 0.

d dx [xn ] = nx n 1. (1) dy dx = 4x4 1 = 4x 3. Theorem 1.3 (Derivative of a constant function). If f(x) = k and k is a constant, then f (x) = 0. Calculus refresher Disclaimer: I claim no original content on this ocument, which is mostly a summary-rewrite of what any stanar college calculus book offers. (Here I ve use Calculus by Dennis Zill.) I

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

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

MTH 133 Solutions to Exam 1 February 21, Without fully opening the exam, check that you have pages 1 through 11.

MTH 133 Solutions to Exam 1 February 21, Without fully opening the exam, check that you have pages 1 through 11. MTH Solutions to Eam February, 8 Name: Section: Recitation Instructor: INSTRUCTIONS Fill in your name, etc. on this first page. Without fully opening the eam, check that you have pages through. Show all

More information

Computing Derivatives J. Douglas Child, Ph.D. Rollins College Winter Park, FL

Computing Derivatives J. Douglas Child, Ph.D. Rollins College Winter Park, FL Computing Derivatives by J. Douglas Chil, Ph.D. Rollins College Winter Park, FL ii Computing Inefinite Integrals Important notice regaring book materials Texas Instruments makes no warranty, either express

More information

Differentiability, Computing Derivatives, Trig Review

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

More information

MTH 133 Solutions to Exam 1 October 10, Without fully opening the exam, check that you have pages 1 through 11.

MTH 133 Solutions to Exam 1 October 10, Without fully opening the exam, check that you have pages 1 through 11. MTH 33 Solutions to Eam October 0, 08 Name: Section: Recitation Instructor: INSTRUCTIONS Fill in your name, etc. on this first page. Without fully opening the eam, check that you have pages through. Show

More information

Mathematical Techniques 1 (SPA4121) Module Overview

Mathematical Techniques 1 (SPA4121) Module Overview Mathematical Techniques (SPA4) Moule Overview Dr. Jeanne Wilson - September 08 Overview The following etails summarise the course. N.B. You are expecte to atten lectures an tutorials. Attenance will be

More information

MTH 133 PRACTICE Exam 1 October 10th, Without fully opening the exam, check that you have pages 1 through 11.

MTH 133 PRACTICE Exam 1 October 10th, Without fully opening the exam, check that you have pages 1 through 11. Name: Section: Recitation Instructor: INSTRUCTIONS Fill in your name, etc. on this first page. Without fully opening the exam, check that you have pages through. Show all your work on the stanar response

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

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 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

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

Question Instructions Read today's Notes and Learning Goals.

Question Instructions Read today's Notes and Learning Goals. 63 Proucts an Quotients (13051836) Question 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 Instructions Rea toay's Notes an Learning Goals. 1. Question Details fa15 62 chain 1 [3420817] Fin all

More information

Section 7.1: Integration by Parts

Section 7.1: Integration by Parts Section 7.1: Integration by Parts 1. Introuction to Integration Techniques Unlike ifferentiation where there are a large number of rules which allow you (in principle) to ifferentiate any function, the

More information

Lagrangian and Hamiltonian Mechanics

Lagrangian and Hamiltonian Mechanics Lagrangian an Hamiltonian Mechanics.G. Simpson, Ph.. epartment of Physical Sciences an Engineering Prince George s Community College ecember 5, 007 Introuction In this course we have been stuying classical

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

Calculus I Announcements

Calculus I Announcements Slie 1 Calculus I Announcements Office Hours: Amos Eaton 309, Monays 12:50-2:50 Exam 2 is Thursay, October 22n. The stuy guie is now on the course web page. Start stuying now, an make a plan to succee.

More information

TAYLOR S POLYNOMIAL APPROXIMATION FOR FUNCTIONS

TAYLOR S POLYNOMIAL APPROXIMATION FOR FUNCTIONS MISN-0-4 TAYLOR S POLYNOMIAL APPROXIMATION FOR FUNCTIONS f(x ± ) = f(x) ± f ' (x) + f '' (x) 2 ±... 1! 2! = 1.000 ± 0.100 + 0.005 ±... TAYLOR S POLYNOMIAL APPROXIMATION FOR FUNCTIONS by Peter Signell 1.

More information

( 3x +1) 2 does not fit the requirement of the power rule that the base be x

( 3x +1) 2 does not fit the requirement of the power rule that the base be x Section 3 4A: The Chain Rule Introuction The Power Rule is state as an x raise to a real number If y = x n where n is a real number then y = n x n-1 What if we wante to fin the erivative of a variable

More information

Final Exam: Sat 12 Dec 2009, 09:00-12:00

Final Exam: Sat 12 Dec 2009, 09:00-12:00 MATH 1013 SECTIONS A: Professor Szeptycki APPLIED CALCULUS I, FALL 009 B: Professor Toms C: Professor Szeto NAME: STUDENT #: SECTION: No ai (e.g. calculator, written notes) is allowe. Final Exam: Sat 1

More information

3.7 Implicit Differentiation -- A Brief Introduction -- Student Notes

3.7 Implicit Differentiation -- A Brief Introduction -- Student Notes Fin these erivatives of these functions: y.7 Implicit Differentiation -- A Brief Introuction -- Stuent Notes tan y sin tan = sin y e = e = Write the inverses of these functions: y tan y sin How woul we

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

JUST THE MATHS UNIT NUMBER DIFFERENTIATION 2 (Rates of change) A.J.Hobson

JUST THE MATHS UNIT NUMBER DIFFERENTIATION 2 (Rates of change) A.J.Hobson JUST THE MATHS UNIT NUMBER 10.2 DIFFERENTIATION 2 (Rates of change) by A.J.Hobson 10.2.1 Introuction 10.2.2 Average rates of change 10.2.3 Instantaneous rates of change 10.2.4 Derivatives 10.2.5 Exercises

More information

CONTROL CHARTS FOR VARIABLES

CONTROL CHARTS FOR VARIABLES UNIT CONTOL CHATS FO VAIABLES Structure.1 Introuction Objectives. Control Chart Technique.3 Control Charts for Variables.4 Control Chart for Mean(-Chart).5 ange Chart (-Chart).6 Stanar Deviation Chart

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

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

MTH 133 Solutions to Exam 1 October 11, Without fully opening the exam, check that you have pages 1 through 11.

MTH 133 Solutions to Exam 1 October 11, Without fully opening the exam, check that you have pages 1 through 11. MTH 33 Solutions to Exam October, 7 Name: Section: Recitation Instructor: INSTRUCTIONS Fill in your name, etc. on this first page. Without fully opening the exam, check that you have pages through. Show

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

By writing (1) as y (x 5 1). (x 5 1), we can find the derivative using the Product Rule: y (x 5 1) 2. we know this from (2)

By writing (1) as y (x 5 1). (x 5 1), we can find the derivative using the Product Rule: y (x 5 1) 2. we know this from (2) 3.5 Chain Rule 149 3.5 Chain Rule Introuction As iscusse in Section 3.2, the Power Rule is vali for all real number exponents n. In this section we see that a similar rule hols for the erivative of a power

More information

Math 3A Midterm 1 Solutions

Math 3A Midterm 1 Solutions Math 3A Miterm Solutions Rea all of the following information before starting the exam: 0/0/00 Check your exam to make sure all pages are present. When you use a major theorem (like the inermeiate value

More information

8/28/2017 Assignment Previewer

8/28/2017 Assignment Previewer Proucts an Quotients (10862446) Due: Mon Sep 25 2017 07:31 AM MDT Question 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 Instructions Rea toay's Notes an Learning Goals. 1. Question Details

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

TOTAL NAME DATE PERIOD AP CALCULUS AB UNIT 4 ADVANCED DIFFERENTIATION TECHNIQUES DATE TOPIC ASSIGNMENT /6 10/8 10/9 10/10 X X X X 10/11 10/12

TOTAL NAME DATE PERIOD AP CALCULUS AB UNIT 4 ADVANCED DIFFERENTIATION TECHNIQUES DATE TOPIC ASSIGNMENT /6 10/8 10/9 10/10 X X X X 10/11 10/12 NAME DATE PERIOD AP CALCULUS AB UNIT ADVANCED DIFFERENTIATION TECHNIQUES DATE TOPIC ASSIGNMENT 0 0 0/6 0/8 0/9 0/0 X X X X 0/ 0/ 0/5 0/6 QUIZ X X X 0/7 0/8 0/9 0/ 0/ 0/ 0/5 UNIT EXAM X X X TOTAL AP Calculus

More information

Mathematical Review Problems

Mathematical Review Problems Fall 6 Louis Scuiero Mathematical Review Problems I. Polynomial Equations an Graphs (Barrante--Chap. ). First egree equation an graph y f() x mx b where m is the slope of the line an b is the line's intercept

More information

Quantum Mechanics in Three Dimensions

Quantum Mechanics in Three Dimensions Physics 342 Lecture 20 Quantum Mechanics in Three Dimensions Lecture 20 Physics 342 Quantum Mechanics I Monay, March 24th, 2008 We begin our spherical solutions with the simplest possible case zero potential.

More information

MATHEMATICAL METHODS

MATHEMATICAL METHODS Victorian Certificate of Eucation 207 SUPERVISOR TO ATTACH PROCESSING LABEL HERE Letter STUDENT NUMBER MATHEMATICAL METHODS Written examination Wenesay 8 November 207 Reaing time: 9.00 am to 9.5 am (5

More information

Fluid Mechanics EBS 189a. Winter quarter, 4 units, CRN Lecture TWRF 12:10-1:00, Chemistry 166; Office hours TH 2-3, WF 4-5; 221 Veihmeyer Hall.

Fluid Mechanics EBS 189a. Winter quarter, 4 units, CRN Lecture TWRF 12:10-1:00, Chemistry 166; Office hours TH 2-3, WF 4-5; 221 Veihmeyer Hall. Flui Mechanics EBS 189a. Winter quarter, 4 units, CRN 52984. Lecture TWRF 12:10-1:00, Chemistry 166; Office hours TH 2-3, WF 4-5; 221 eihmeyer Hall. Course Description: xioms of flui mechanics, flui statics,

More information

AN INTRODUCTION TO NUMERICAL METHODS USING MATHCAD. Mathcad Release 14. Khyruddin Akbar Ansari, Ph.D., P.E.

AN INTRODUCTION TO NUMERICAL METHODS USING MATHCAD. Mathcad Release 14. Khyruddin Akbar Ansari, Ph.D., P.E. AN INTRODUCTION TO NUMERICAL METHODS USING MATHCAD Mathca Release 14 Khyruin Akbar Ansari, Ph.D., P.E. Professor of Mechanical Engineering School of Engineering an Applie Science Gonzaga University SDC

More information

Application of the homotopy perturbation method to a magneto-elastico-viscous fluid along a semi-infinite plate

Application of the homotopy perturbation method to a magneto-elastico-viscous fluid along a semi-infinite plate Freun Publishing House Lt., International Journal of Nonlinear Sciences & Numerical Simulation, (9), -, 9 Application of the homotopy perturbation metho to a magneto-elastico-viscous flui along a semi-infinite

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

Assignment #3: Mathematical Induction

Assignment #3: Mathematical Induction Math 3AH, Fall 011 Section 10045 Assignment #3: Mathematical Inuction Directions: This assignment is ue no later than Monay, November 8, 011, at the beginning of class. Late assignments will not be grae.

More information

Math 1B, lecture 8: Integration by parts

Math 1B, lecture 8: Integration by parts Math B, lecture 8: Integration by parts Nathan Pflueger 23 September 2 Introuction Integration by parts, similarly to integration by substitution, reverses a well-known technique of ifferentiation an explores

More information

Calculus of Variations

Calculus of Variations 16.323 Lecture 5 Calculus of Variations Calculus of Variations Most books cover this material well, but Kirk Chapter 4 oes a particularly nice job. x(t) x* x*+ αδx (1) x*- αδx (1) αδx (1) αδx (1) t f t

More information

DT7: Implicit Differentiation

DT7: Implicit Differentiation Differentiation Techniques 7: Implicit Differentiation 143 DT7: Implicit Differentiation Moel 1: Solving for y Most of the functions we have seen in this course are like those in Table 1 (an the first

More information

Calculus in the AP Physics C Course The Derivative

Calculus in the AP Physics C Course The Derivative Limits an Derivatives Calculus in the AP Physics C Course The Derivative In physics, the ieas of the rate change of a quantity (along with the slope of a tangent line) an the area uner a curve are essential.

More information

ECE 422 Power System Operations & Planning 7 Transient Stability

ECE 422 Power System Operations & Planning 7 Transient Stability ECE 4 Power System Operations & Planning 7 Transient Stability Spring 5 Instructor: Kai Sun References Saaat s Chapter.5 ~. EPRI Tutorial s Chapter 7 Kunur s Chapter 3 Transient Stability The ability of

More information

Lecture 16: The chain rule

Lecture 16: The chain rule Lecture 6: The chain rule Nathan Pflueger 6 October 03 Introuction Toay we will a one more rule to our toolbo. This rule concerns functions that are epresse as compositions of functions. The iea of a composition

More information

2Algebraic ONLINE PAGE PROOFS. foundations

2Algebraic ONLINE PAGE PROOFS. foundations Algebraic founations. Kick off with CAS. Algebraic skills.3 Pascal s triangle an binomial expansions.4 The binomial theorem.5 Sets of real numbers.6 Surs.7 Review . Kick off with CAS Playing lotto Using

More information

Lecture 6: Calculus. In Song Kim. September 7, 2011

Lecture 6: Calculus. In Song Kim. September 7, 2011 Lecture 6: Calculus In Song Kim September 7, 20 Introuction to Differential Calculus In our previous lecture we came up with several ways to analyze functions. We saw previously that the slope of a linear

More information

Breakout Session 13 Solutions

Breakout Session 13 Solutions Problem True or False: If f = 2, then f = 2 False Any time that you have a function of raise to a function of, in orer to compute the erivative you nee to use logarithmic ifferentiation or something equivalent

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

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

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

Antiderivatives and Indefinite Integration

Antiderivatives and Indefinite Integration 60_00.q //0 : PM Page 8 8 CHAPTER Integration Section. EXPLORATION Fining Antierivatives For each erivative, escribe the original function F. a. F b. F c. F. F e. F f. F cos What strateg i ou use to fin

More information

5.4 Fundamental Theorem of Calculus Calculus. Do you remember the Fundamental Theorem of Algebra? Just thought I'd ask

5.4 Fundamental Theorem of Calculus Calculus. Do you remember the Fundamental Theorem of Algebra? Just thought I'd ask 5.4 FUNDAMENTAL THEOREM OF CALCULUS Do you remember the Funamental Theorem of Algebra? Just thought I' ask The Funamental Theorem of Calculus has two parts. These two parts tie together the concept of

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

Construction of the Electronic Radial Wave Functions and Probability Distributions of Hydrogen-like Systems

Construction of the Electronic Radial Wave Functions and Probability Distributions of Hydrogen-like Systems Construction of the Electronic Raial Wave Functions an Probability Distributions of Hyrogen-like Systems Thomas S. Kuntzleman, Department of Chemistry Spring Arbor University, Spring Arbor MI 498 tkuntzle@arbor.eu

More information

'HVLJQ &RQVLGHUDWLRQ LQ 0DWHULDO 6HOHFWLRQ 'HVLJQ 6HQVLWLYLW\,1752'8&7,21

'HVLJQ &RQVLGHUDWLRQ LQ 0DWHULDO 6HOHFWLRQ 'HVLJQ 6HQVLWLYLW\,1752'8&7,21 Large amping in a structural material may be either esirable or unesirable, epening on the engineering application at han. For example, amping is a esirable property to the esigner concerne with limiting

More information

Mathematical Sciences

Mathematical Sciences Mathematical Sciences Diagnostic Test 2014/15 User: The aim of this test is to assess your current knowlege base in certain areas of mathematics. The material is taken broaly from the Mathematics A -level

More information

(a) 82 (b) 164 (c) 81 (d) 162 (e) 624 (f) 625 None of these. (c) 12 (d) 15 (e)

(a) 82 (b) 164 (c) 81 (d) 162 (e) 624 (f) 625 None of these. (c) 12 (d) 15 (e) Math 2 (Calculus I) Final Eam Form A KEY Multiple Choice. Fill in the answer to each problem on your computer-score answer sheet. Make sure your name, section an instructor are on that sheet.. Approimate

More information

Outline. MS121: IT Mathematics. Differentiation Rules for Differentiation: Part 1. Outline. Dublin City University 4 The Quotient Rule

Outline. MS121: IT Mathematics. Differentiation Rules for Differentiation: Part 1. Outline. Dublin City University 4 The Quotient Rule MS2: IT Mathematics Differentiation Rules for Differentiation: Part John Carroll School of Mathematical Sciences Dublin City University Pattern Observe You may have notice the following pattern when we

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

MATHEMATICAL METHODS (CAS) Written examination 1

MATHEMATICAL METHODS (CAS) Written examination 1 Victorian Certificate of Eucation 2006 SUPERVISOR TO ATTACH PROCESSING LABEL HERE STUDENT NUMBER Letter Figures Wors MATHEMATICAL METHODS (CAS) Written examination 1 Friay 3 November 2006 Reaing time:

More information

Introduction to ODE's (0P) Young Won Lim 12/27/14

Introduction to ODE's (0P) Young Won Lim 12/27/14 Introuction to ODE's (0P) Copyright (c) 2011-2014 Young W. Lim. Permission is grante to copy, istribute an/or moify this ocument uner the terms of the GNU Free Documentation License, Version 1.2 or any

More information

IMPLICIT DIFFERENTIATION

IMPLICIT DIFFERENTIATION IMPLICIT DIFFERENTIATION CALCULUS 3 INU0115/515 (MATHS 2) Dr Arian Jannetta MIMA CMath FRAS Implicit Differentiation 1/ 11 Arian Jannetta Explicit an implicit functions Explicit functions An explicit function

More information

Static Equilibrium. Theory: The conditions for the mechanical equilibrium of a rigid body are (a) (b)

Static Equilibrium. Theory: The conditions for the mechanical equilibrium of a rigid body are (a) (b) LPC Physics A 00 Las Positas College, Physics Department Staff Purpose: To etermine that, for a boy in equilibrium, the following are true: The sum of the torques about any point is zero The sum of forces

More information

The Exact Form and General Integrating Factors

The Exact Form and General Integrating Factors 7 The Exact Form an General Integrating Factors In the previous chapters, we ve seen how separable an linear ifferential equations can be solve using methos for converting them to forms that can be easily

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

Schrödinger s equation.

Schrödinger s equation. Physics 342 Lecture 5 Schröinger s Equation Lecture 5 Physics 342 Quantum Mechanics I Wenesay, February 3r, 2010 Toay we iscuss Schröinger s equation an show that it supports the basic interpretation of

More information

Integration Review. May 11, 2013

Integration Review. May 11, 2013 Integration Review May 11, 2013 Goals: Review the funamental theorem of calculus. Review u-substitution. Review integration by parts. Do lots of integration eamples. 1 Funamental Theorem of Calculus In

More information

Differentiation Rules and Formulas

Differentiation Rules and Formulas Differentiation Rules an Formulas Professor D. Olles December 1, 01 1 Te Definition of te Derivative Consier a function y = f(x) tat is continuous on te interval a, b]. Ten, te slope of te secant line

More information

AN INTRODUCTION TO NUMERICAL METHODS USING MATHCAD. Mathcad Release 13. Khyruddin Akbar Ansari, Ph.D., P.E.

AN INTRODUCTION TO NUMERICAL METHODS USING MATHCAD. Mathcad Release 13. Khyruddin Akbar Ansari, Ph.D., P.E. AN INTRODUCTION TO NUMERICAL METHODS USING MATHCAD Mathca Release 13 Khyruin Akbar Ansari, Ph.D., P.E. Professor of Mechanical Engineering School of Engineering Gonzaga University SDC PUBLICATIONS Schroff

More information

Gabriela González. Physics 2102 Gabriela González. Office hours: Nicholson 271-C, Tue 5:30-6:30pm, Th 5-6pm or by appt.

Gabriela González. Physics 2102 Gabriela González. Office hours: Nicholson 271-C, Tue 5:30-6:30pm, Th 5-6pm or by appt. Physics 2102 Gabriela González Charles-Augustin e Coulomb (1736-1806) Office hours: Nicholson 271-C, Tue 5:30-6:30pm, Th 5-6pm or by appt Phone: 578 0468 Email: gonzalez@lsu.eu Research: Detection of Gravitational

More information

Homework 2 EM, Mixture Models, PCA, Dualitys

Homework 2 EM, Mixture Models, PCA, Dualitys Homework 2 EM, Mixture Moels, PCA, Dualitys CMU 10-715: Machine Learning (Fall 2015) http://www.cs.cmu.eu/~bapoczos/classes/ml10715_2015fall/ OUT: Oct 5, 2015 DUE: Oct 19, 2015, 10:20 AM Guielines The

More information

UNDERSTANDING INTEGRATION

UNDERSTANDING INTEGRATION UNDERSTANDING INTEGRATION Dear Reaer The concept of Integration, mathematically speaking, is the "Inverse" of the concept of result, the integration of, woul give us back the function f(). This, in a way,

More information

FINAL EXAM 1 SOLUTIONS Below is the graph of a function f(x). From the graph, read off the value (if any) of the following limits: x 1 +

FINAL EXAM 1 SOLUTIONS Below is the graph of a function f(x). From the graph, read off the value (if any) of the following limits: x 1 + FINAL EXAM 1 SOLUTIONS 2011 1. Below is the graph of a function f(x). From the graph, rea off the value (if any) of the following its: x 1 = 0 f(x) x 1 + = 1 f(x) x 0 = x 0 + = 0 x 1 = 1 1 2 FINAL EXAM

More information

Optimization of Geometries by Energy Minimization

Optimization of Geometries by Energy Minimization Optimization of Geometries by Energy Minimization by Tracy P. Hamilton Department of Chemistry University of Alabama at Birmingham Birmingham, AL 3594-140 hamilton@uab.eu Copyright Tracy P. Hamilton, 1997.

More information

Separation of Variables

Separation of Variables Physics 342 Lecture 1 Separation of Variables Lecture 1 Physics 342 Quantum Mechanics I Monay, January 25th, 2010 There are three basic mathematical tools we nee, an then we can begin working on the physical

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

Math 115 Section 018 Course Note

Math 115 Section 018 Course Note Course Note 1 General Functions Definition 1.1. A function is a rule that takes certain numbers as inputs an assigns to each a efinite output number. The set of all input numbers is calle the omain of

More information

MATHEMATICS Differential Equations and Linear Algebra SYLLABUS Fall semester 2012

MATHEMATICS Differential Equations and Linear Algebra SYLLABUS Fall semester 2012 AHEAICS 2250-1 Differential Equations and Linear Algebra SYLLABUS all semester 2012 Lecture 2250-1 8:35-9:25 a.m. EB L 104 Instructor: office: telephone: email: Prof. Nick Korevaar LCB 204 801.581.7318

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

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

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

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

Lie symmetry and Mei conservation law of continuum system

Lie symmetry and Mei conservation law of continuum system Chin. Phys. B Vol. 20, No. 2 20 020 Lie symmetry an Mei conservation law of continuum system Shi Shen-Yang an Fu Jing-Li Department of Physics, Zhejiang Sci-Tech University, Hangzhou 3008, China Receive

More information

Physics 121 for Majors

Physics 121 for Majors Physics 121 for Majors Scheule Do Post-Class Quiz #3 Do Pre-Class Quiz #4 HW #2 is ue Wenesay Quiz #1 is ue Saturay, Sept. 16 Lab #1 is set up now, ue Monay Some Department Resources Computers N-212 ESC

More information

Examining Geometric Integration for Propagating Orbit Trajectories with Non-Conservative Forcing

Examining Geometric Integration for Propagating Orbit Trajectories with Non-Conservative Forcing Examining Geometric Integration for Propagating Orbit Trajectories with Non-Conservative Forcing Course Project for CDS 05 - Geometric Mechanics John M. Carson III California Institute of Technology June

More information

11.7. Implicit Differentiation. Introduction. Prerequisites. Learning Outcomes

11.7. Implicit Differentiation. Introduction. Prerequisites. Learning Outcomes Implicit Differentiation 11.7 Introuction This Section introuces implicit ifferentiation which is use to ifferentiate functions expresse in implicit form (where the variables are foun together). Examples

More information

CHAPTER 3 DERIVATIVES (continued)

CHAPTER 3 DERIVATIVES (continued) CHAPTER 3 DERIVATIVES (continue) 3.3. RULES FOR DIFFERENTIATION A. The erivative of a constant is zero: [c] = 0 B. The Power Rule: [n ] = n (n-1) C. The Constant Multiple Rule: [c *f()] = c * f () D. The

More information