Antiderivatives. Definition (Antiderivative) If F (x) = f (x) we call F an antiderivative of f. Alan H. SteinUniversity of Connecticut
|
|
- Katrina McLaughlin
- 5 years ago
- Views:
Transcription
1 Antierivatives Definition (Antierivative) If F (x) = f (x) we call F an antierivative of f.
2 Antierivatives Definition (Antierivative) If F (x) = f (x) we call F an antierivative of f. Definition (Inefinite Integral) If F is an antierivative of f, then f (x) x = F (x) + c is calle the (general) Inefinite Integral of f, where c is an arbitrary constant.
3 Antierivatives Definition (Antierivative) If F (x) = f (x) we call F an antierivative of f. Definition (Inefinite Integral) If F is an antierivative of f, then f (x) x = F (x) + c is calle the (general) Inefinite Integral of f, where c is an arbitrary constant. The inefinite integral of a function represents every possible antierivative, since it has been shown that if two functions have the same erivative on an interval then they iffer by a constant on that interval.
4 Antierivatives Definition (Antierivative) If F (x) = f (x) we call F an antierivative of f. Definition (Inefinite Integral) If F is an antierivative of f, then f (x) x = F (x) + c is calle the (general) Inefinite Integral of f, where c is an arbitrary constant. The inefinite integral of a function represents every possible antierivative, since it has been shown that if two functions have the same erivative on an interval then they iffer by a constant on that interval. Terminology: When we write f (x) x, f (x) is referre to as the integran.
5 Basic Integration Formulas As with ifferentiation, there are two types of formulas, formulas for the integrals of specific functions an structural type formulas. Each formula for the erivative of a specific function correspons to a formula for the erivative of an elementary function. The following table lists integration formulas sie by sie with the corresponing ifferentiation formulas.
6 Basic Integration Formulas x n x = x n+1 n + 1 if n 1
7 Basic Integration Formulas x n x = x n+1 n + 1 if n 1 x (x n ) = nx n 1
8 Basic Integration Formulas x n x = x n+1 n + 1 if n 1 x (x n ) = nx n 1 sin x x = cos x + c
9 Basic Integration Formulas x n x = x n+1 if n 1 n + 1 sin x x = cos x + c x (x n ) = nx n 1 (cos x) = sin x x
10 Basic Integration Formulas x n x = x n+1 if n 1 n + 1 sin x x = cos x + c x (x n ) = nx n 1 (cos x) = sin x x cos x x = sin x + c
11 Basic Integration Formulas x n x = x n+1 if n 1 n + 1 sin x x = cos x + c cos x x = sin x + c x (x n ) = nx n 1 (cos x) = sin x x (sin x) = cos x x
12 Basic Integration Formulas x n x = x n+1 if n 1 n + 1 sin x x = cos x + c cos x x = sin x + c x (x n ) = nx n 1 (cos x) = sin x x (sin x) = cos x x sec 2 x x = tan x + c
13 Basic Integration Formulas x n x = x n+1 if n 1 n + 1 sin x x = cos x + c cos x x = sin x + c sec 2 x x = tan x + c x (x n ) = nx n 1 (cos x) = sin x x (sin x) = cos x x x (tan x) = sec2 x
14 Basic Integration Formulas x n x = x n+1 if n 1 n + 1 sin x x = cos x + c cos x x = sin x + c sec 2 x x = tan x + c x (x n ) = nx n 1 (cos x) = sin x x (sin x) = cos x x x (tan x) = sec2 x e x x = e x + c
15 Basic Integration Formulas x n x = x n+1 if n 1 n + 1 sin x x = cos x + c cos x x = sin x + c sec 2 x x = tan x + c e x x = e x + c x (x n ) = nx n 1 (cos x) = sin x x (sin x) = cos x x x (tan x) = sec2 x x (ex ) = e x
16 Basic Integration Formulas x n x = x n+1 n + 1 if n 1 sin x x = cos x + c cos x x = sin x + c sec 2 x x = tan x + c e x x = e x + c 1 x = ln x + c x x (x n ) = nx n 1 (cos x) = sin x x (sin x) = cos x x x (tan x) = sec2 x x (ex ) = e x
17 Basic Integration Formulas x n x = x n+1 n + 1 if n 1 sin x x = cos x + c cos x x = sin x + c sec 2 x x = tan x + c e x x = e x + c 1 x = ln x + c x x (x n ) = nx n 1 (cos x) = sin x x (sin x) = cos x x x (tan x) = sec2 x x (ex ) = e x x (ln x) = 1 x
18 Basic Integration Formulas x n x = x n+1 if n 1 n + 1 sin x x = cos x + c cos x x = sin x + c sec 2 x x = tan x + c e x x = e x + c 1 x = ln x + c x x (x n ) = nx n 1 (cos x) = sin x x (sin x) = cos x x x (tan x) = sec2 x x (ex ) = e x x (ln x) = 1 x k x = kx + c
19 Basic Integration Formulas x n x = x n+1 if n 1 n + 1 sin x x = cos x + c cos x x = sin x + c sec 2 x x = tan x + c e x x = e x + c 1 x = ln x + c x k x = kx + c x (x n ) = nx n 1 (cos x) = sin x x (sin x) = cos x x x (tan x) = sec2 x x (ex ) = e x x (ln x) = 1 x x (kx) = k
20 Structural Type Formulas We may integrate term-by-term:
21 Structural Type Formulas We may integrate term-by-term: kf (x) x = k f (x) x
22 Structural Type Formulas We may integrate term-by-term: kf (x) x = k f (x) x f (x) ± g(x) x = f (x) x ± g(x) x
23 Structural Type Formulas We may integrate term-by-term: kf (x) x = k f (x) x f (x) ± g(x) x = f (x) x ± g(x) x In plain language, the integral of a constant times a function equals the constant times the erivative of the function an the erivative of a sum or ifference is equal to the sum or ifference of the erivatives.
24 Structural Type Formulas We may integrate term-by-term: kf (x) x = k f (x) x f (x) ± g(x) x = f (x) x ± g(x) x In plain language, the integral of a constant times a function equals the constant times the erivative of the function an the erivative of a sum or ifference is equal to the sum or ifference of the erivatives. These formulas come straight from the corresponing formulas for calculating erivatives an are use the same way.
25 Integrating Iniviual Terms When calculating erivatives of iniviual terms, one nees to recognize whether the term is an elementary function, a prouct, a quotient or a composite function. There is a little bit more art to integration, at least if the term is not the erivative of an elementary function.
26 Integrating Iniviual Terms When calculating erivatives of iniviual terms, one nees to recognize whether the term is an elementary function, a prouct, a quotient or a composite function. There is a little bit more art to integration, at least if the term is not the erivative of an elementary function. Integration is essentially the reverse of ifferentiation, so one might expect formulas for reversing the effects of the Prouct Rule, Quotient Rule an Chain Rule. This is almost the case. There is a formula, calle the Integration By Parts Formula, for reversing the effect of the Prouct Rule an there is a technique, calle Substitution, for reversing the effect of the Chain Rule. There is no specific formula or technique for reversing the effect of the Quotient Rule, but one is not really necessary since the Quotient Rule is reunant.
27 Integration is an Art Integration also becomes an art because not only isn t it always obvious whether one shoul resort to Integration By Parts or the Substitution Technique but the use of the Integration By Parts Formula an the Substitution Technique is not as straightforwar as the use of the Prouct, Quotient or Chain Rule.
28 The Substitution Technique The substitution technique may be ivie into the following steps. Every step but the first is purely mechanical. With a little bit of practice (in other wors, make sure you o the homework problems assigne), you shoul have no more ifficulty carrying out a substitution than you shoul be having by now when you ifferentiate.
29 The Substitution Technique The substitution technique may be ivie into the following steps. Every step but the first is purely mechanical. With a little bit of practice (in other wors, make sure you o the homework problems assigne), you shoul have no more ifficulty carrying out a substitution than you shoul be having by now when you ifferentiate. Note: In the following, we will assume that you are trying to calculate an integral f (x)x. If the ummy variable is calle something other than x, then some of the names you woul use for variables might be ifferent.
30 The Substitution Technique Choose a substitution u = g(x).
31 The Substitution Technique Choose a substitution u = g(x). Some suggestions on how to choose a substitution will be mae later.
32 The Substitution Technique Choose a substitution u = g(x). Some suggestions on how to choose a substitution will be mae later. Calculate the erivative u x = g (x).
33 The Substitution Technique Choose a substitution u = g(x). Some suggestions on how to choose a substitution will be mae later. Calculate the erivative u x = g (x). Treating the erivative as if it were a fraction, solve for x:
34 The Substitution Technique Choose a substitution u = g(x). Some suggestions on how to choose a substitution will be mae later. Calculate the erivative u x = g (x). Treating the erivative as if it were a fraction, solve for x: u x = g (x), u = g (x)x, x = u g (x).
35 The Substitution Technique Choose a substitution u = g(x). Some suggestions on how to choose a substitution will be mae later. Calculate the erivative u x = g (x). Treating the erivative as if it were a fraction, solve for x: u x = g (x), u = g (x)x, x = u g (x). Go back to the original integral an replace g(x) by u an u replace x by g (x).
36 The Substitution Technique Simplify.
37 The Substitution Technique Simplify. Every incience of x shoul cancel out at this step. If not, you will nee to try another substitution. Make sure that you simplify properly this is the easiest step to make mistakes uring.
38 The Substitution Technique Simplify. Every incience of x shoul cancel out at this step. If not, you will nee to try another substitution. Make sure that you simplify properly this is the easiest step to make mistakes uring. Integrate.
39 The Substitution Technique Simplify. Every incience of x shoul cancel out at this step. If not, you will nee to try another substitution. Make sure that you simplify properly this is the easiest step to make mistakes uring. Integrate. Replace u by g(x) in your result.
40 The Substitution Technique Simplify. Every incience of x shoul cancel out at this step. If not, you will nee to try another substitution. Make sure that you simplify properly this is the easiest step to make mistakes uring. Integrate. Replace u by g(x) in your result. Check your answer (of course).
41 Choosing an Appropriate Substitution This is the only non-routine part of carrying out a substitution, but shoul not be at all ifficult for any stuent who has mastere the art of ifferentiation. There are two basic tactics for choosing a substitution. Each will work in the vast majority of cases where a routine substitution is neee. Since neither will work in all cases, you nee to be comfortable with both. Therefore, you shoul try using both methos on the same problem wherever possible. (There are quite a few non-routine substitutions that are use in special situations. They nee to be learne separately.)
42 The First Metho The metho most stuents probably fin easiest to use relies on familiarity with the chain rule for ifferentiation. In orer to ecie on a useful substitution, look at the integran an preten that you are going to calculate its erivative rather than its integral. (You usually on t actually have to write anything own you can usually just visualize the steps.) Look to see if there is any step uring which you woul have to use the chain rule. If so, think of the ecomposition you woul have to make, i.e. the step where you woul write own something like y = f (u), u = g(x). Try the substitution u = g(x).
43 The Secon Metho This metho involves looking at parts of the integran an observing whether the erivative of part of the integran equals some other factor of the integran. If so, u may be substitute for that part. (In eciing, you may ignore constant factors, since they are easy to manipulate aroun.)
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 informationSYDE 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 informationIntegration by Parts
Integration by Parts 6-3-207 If u an v are functions of, the Prouct Rule says that (uv) = uv +vu Integrate both sies: (uv) = uv = uv + u v + uv = uv vu, vu v u, I ve written u an v as shorthan for u an
More informationIntegration: Using the chain rule in reverse
Mathematics Learning Centre Integration: Using the chain rule in reverse Mary Barnes c 999 University of Syney Mathematics Learning Centre, University of Syney Using the Chain Rule in Reverse Recall that
More informationYou 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 informationCHAPTER 4. INTEGRATION 68. Previously, we chose an antiderivative which is correct for the given integrand 1/x 2. However, 6= 1 dx x x 2 if x =0.
CHAPTER 4. INTEGRATION 68 Previously, we chose an antierivative which is correct for the given integran /. However, recall 6 if 0. That is F 0 () f() oesn t hol for apple apple. We have to be sure the
More informationIntegration 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 informationSection 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 informationFinal 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 informationConnecting Algebra to Calculus Indefinite Integrals
Connecting Algebra to Calculus Inefinite Integrals Objective: Fin Antierivatives an use basic integral formulas to fin Inefinite Integrals an make connections to Algebra an Algebra. Stanars: Algebra.0,
More informationx 2 2x 8 (x 4)(x + 2)
Problems With Notation Mathematical notation is very precise. This contrasts with both oral communication an some written English. Correct mathematical notation: x 2 2x 8 (x 4)(x + 2) lim x 4 = lim x 4
More informationMathcad Lecture #5 In-class Worksheet Plotting and Calculus
Mathca Lecture #5 In-class Worksheet Plotting an Calculus At the en of this lecture, you shoul be able to: graph expressions, functions, an matrices of ata format graphs with titles, legens, log scales,
More information23 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 informationDifferentiation ( , 9.5)
Chapter 2 Differentiation (8.1 8.3, 9.5) 2.1 Rate of Change (8.2.1 5) Recall that the equation of a straight line can be written as y = mx + c, where m is the slope or graient of the line, an c is the
More informationMA 2232 Lecture 08 - Review of Log and Exponential Functions and Exponential Growth
MA 2232 Lecture 08 - Review of Log an Exponential Functions an Exponential Growth Friay, February 2, 2018. Objectives: Review log an exponential functions, their erivative an integration formulas. Exponential
More informationSection 3.1/3.2: Rules of Differentiation
: Rules of Differentiation Math 115 4 February 2018 Overview 1 2 Four Theorem for Derivatives Suppose c is a constant an f, g are ifferentiable functions. Then 1 2 3 4 x (c) = 0 x (x n ) = nx n 1 x [cf
More informationMake graph of g by adding c to the y-values. on the graph of f by c. multiplying the y-values. even-degree polynomial. graph goes up on both sides
Reference 1: Transformations of Graphs an En Behavior of Polynomial Graphs Transformations of graphs aitive constant constant on the outsie g(x) = + c Make graph of g by aing c to the y-values on the graph
More informationExam 3 Review. Lesson 19: Concavity, Inflection Points, and the Second Derivative Test. Lesson 20: Absolute Extrema on an Interval
Exam 3 Review Lessons 17-18: Relative Extrema, Critical Numbers, an First Derivative Test (from exam 2 review neee for curve sketching) Critical Numbers: where the erivative of a function is zero or unefine.
More informationMATH , 06 Differential Equations Section 03: MWF 1:00pm-1:50pm McLaury 306 Section 06: MWF 3:00pm-3:50pm EEP 208
MATH 321-03, 06 Differential Equations Section 03: MWF 1:00pm-1:50pm McLaury 306 Section 06: MWF 3:00pm-3:50pm EEP 208 Instructor: Brent Deschamp Email: brent.eschamp@ssmt.eu Office: McLaury 316B Phone:
More informationHyperbolic Functions. Notice: this material must not be used as a substitute for attending. the lectures
Hyperbolic Functions Notice: this material must not be use as a substitute for attening the lectures 0. Hyperbolic functions sinh an cosh The hyperbolic functions sinh (pronounce shine ) an cosh are efine
More information2 ODEs Integrating Factors and Homogeneous Equations
2 ODEs Integrating Factors an Homogeneous Equations We begin with a slightly ifferent type of equation: 2.1 Exact Equations These are ODEs whose general solution can be obtaine by simply integrating both
More informationMath 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 informationLinear First-Order Equations
5 Linear First-Orer Equations Linear first-orer ifferential equations make up another important class of ifferential equations that commonly arise in applications an are relatively easy to solve (in theory)
More information5.4 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 informationThe Natural Logarithm
The Natural Logarithm -28-208 In earlier courses, you may have seen logarithms efine in terms of raising bases to powers. For eample, log 2 8 = 3 because 2 3 = 8. In those terms, the natural logarithm
More informationChapter 6: Integration: partial fractions and improper integrals
Chapter 6: Integration: partial fractions an improper integrals Course S3, 006 07 April 5, 007 These are just summaries of the lecture notes, an few etails are inclue. Most of what we inclue here is to
More informationAntiderivatives Introduction
Antierivatives 40. Introuction So far much of the term has been spent fining erivatives or rates of change. But in some circumstances we alreay know the rate of change an we wish to etermine the original
More information3.7 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 informationDT7: 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 informationSummary: 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 informationLecture 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 informationFall 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 informationLagrangian 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 informationComputing 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 informationTHEOREM: THE CONSTANT RULE
MATH /MYERS/ALL FORMULAS ON THIS REVIEW MUST BE MEMORIZED! DERIVATIVE REVIEW THEOREM: THE CONSTANT RULE The erivative of a constant function is zero. That is, if c is a real number, then c 0 Eample 1:
More informationThe 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 informationWJEC Core 2 Integration. Section 1: Introduction to integration
WJEC Core Integration Section : Introuction to integration Notes an Eamples These notes contain subsections on: Reversing ifferentiation The rule for integrating n Fining the arbitrary constant Reversing
More informationModule FP2. Further Pure 2. Cambridge University Press Further Pure 2 and 3 Hugh Neill and Douglas Quadling Excerpt More information
5548993 - Further Pure an 3 Moule FP Further Pure 5548993 - Further Pure an 3 Differentiating inverse trigonometric functions Throughout the course you have graually been increasing the number of functions
More informationLinear and quadratic approximation
Linear an quaratic approximation November 11, 2013 Definition: Suppose f is a function that is ifferentiable on an interval I containing the point a. The linear approximation to f at a is the linear function
More informationSolutions to Practice Problems Tuesday, October 28, 2008
Solutions to Practice Problems Tuesay, October 28, 2008 1. The graph of the function f is shown below. Figure 1: The graph of f(x) What is x 1 + f(x)? What is x 1 f(x)? An oes x 1 f(x) exist? If so, what
More informationOptimization Notes. Note: Any material in red you will need to have memorized verbatim (more or less) for tests, quizzes, and the final exam.
MATH 2250 Calculus I Date: October 5, 2017 Eric Perkerson Optimization Notes 1 Chapter 4 Note: Any material in re you will nee to have memorize verbatim (more or less) for tests, quizzes, an the final
More informationMath 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 informationThe Explicit Form of a Function
Section 3 5 Implicit Differentiation The Eplicit Form of a Function Function Notation requires that we state a function with f () on one sie of an equation an an epression in terms of on the other sie
More informationSingle Variable Calculus Warnings
Single Variable Calculus Warnings These notes highlight number of common, but serious, first year calculus errors. Warning. The formula g(x) = g(x) is vali only uner the hypothesis g(x). Discussion. In
More informationThe Explicit Form of a Function
Section 3 5 Implicit Differentiation The Eplicit Form of a Function The normal way we see function notation has f () on one sie of an equation an an epression in terms of on the other sie. We know the
More information( 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 informationCalculus 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 informationInverse Functions. Review from Last Time: The Derivative of y = ln x. [ln. Last time we saw that
Inverse Functions Review from Last Time: The Derivative of y = ln Last time we saw that THEOREM 22.0.. The natural log function is ifferentiable an More generally, the chain rule version is ln ) =. ln
More information18 EVEN MORE CALCULUS
8 EVEN MORE CALCULUS Chapter 8 Even More Calculus Objectives After stuing this chapter you shoul be able to ifferentiate an integrate basic trigonometric functions; unerstan how to calculate rates of change;
More informationBy 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 informationBreakout 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 informationSTUDENT S COMPANIONS IN BASIC MATH: THE FOURTH. Trigonometric Functions
STUDENT S COMPANIONS IN BASIC MATH: THE FOURTH Trigonometric Functions Let me quote a few sentences at the beginning of the preface to a book by Davi Kammler entitle A First Course in Fourier Analysis
More informationMAT 111 Practice Test 2
MAT 111 Practice Test 2 Solutions Spring 2010 1 1. 10 points) Fin the equation of the tangent line to 2 + 2y = 1+ 2 y 2 at the point 1, 1). The equation is y y 0 = y 0) So all we nee is y/. Differentiating
More informationMath 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 informationDifferentiation Rules. Oct
Differentiation Rules Oct 10 2011 Differentiability versus Continuity Theorem If f (a) exists, then f is continuous at a. A function whose erivative exists at every point of an interval is continuous an
More informationMath 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 informationMath 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 informationd 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 informationChapter 2. Exponential and Log functions. Contents
Chapter. Exponential an Log functions This material is in Chapter 6 of Anton Calculus. The basic iea here is mainly to a to the list of functions we know about (for calculus) an the ones we will stu all
More informationImplicit Differentiation
Implicit Differentiation Thus far, the functions we have been concerne with have been efine explicitly. A function is efine explicitly if the output is given irectly in terms of the input. For instance,
More informationChapter 3 Notes, Applied Calculus, Tan
Contents 3.1 Basic Rules of Differentiation.............................. 2 3.2 The Prouct an Quotient Rules............................ 6 3.3 The Chain Rule...................................... 9 3.4
More informationOutline. 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 informationd 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 informationDERIVATIVES: 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 information1 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 information1 Lecture 18: The chain rule
1 Lecture 18: The chain rule 1.1 Outline Comparing the graphs of sin(x) an sin(2x). The chain rule. The erivative of a x. Some examples. 1.2 Comparing the graphs of sin(x) an sin(2x) We graph f(x) = sin(x)
More information1 Lecture 13: The derivative as a function.
1 Lecture 13: Te erivative as a function. 1.1 Outline Definition of te erivative as a function. efinitions of ifferentiability. Power rule, erivative te exponential function Derivative of a sum an a multiple
More informationIntegration via a Change of Variables
LECTURE 33 Integration via a Change of Variables In Lectures an 3 where we evelope a general technique for computing erivatives that was base on two ifferent kins of results. First, we ha a table that
More information4.2 First Differentiation Rules; Leibniz Notation
.. FIRST DIFFERENTIATION RULES; LEIBNIZ NOTATION 307. First Differentiation Rules; Leibniz Notation In this section we erive rules which let us quickly compute the erivative function f (x) for any polynomial
More informationAP 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 informationUnit #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 informationChapter 3 Definitions and Theorems
Chapter 3 Definitions an Theorems (from 3.1) Definition of Tangent Line with slope of m If f is efine on an open interval containing c an the limit Δy lim Δx 0 Δx = lim f (c + Δx) f (c) = m Δx 0 Δx exists,
More informationMath 180, Exam 2, Fall 2012 Problem 1 Solution. (a) The derivative is computed using the Chain Rule twice. 1 2 x x
. Fin erivatives of the following functions: (a) f() = tan ( 2 + ) ( ) 2 (b) f() = ln 2 + (c) f() = sin() Solution: Math 80, Eam 2, Fall 202 Problem Solution (a) The erivative is compute using the Chain
More informationIMPLICIT 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 informationLectures - 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 informationThe 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 informationMATH 1300 Lecture Notes Wednesday, September 25, 2013
MATH 300 Lecture Notes Wenesay, September 25, 203. Section 3. of HH - Powers an Polynomials In this section 3., you are given several ifferentiation rules that, taken altogether, allow you to quickly an
More informationSection 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 informationThe Principle of Least Action
Chapter 7. The Principle of Least Action 7.1 Force Methos vs. Energy Methos We have so far stuie two istinct ways of analyzing physics problems: force methos, basically consisting of the application of
More informationDefine 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 informationMath Chapter 2 Essentials of Calculus by James Stewart Prepared by Jason Gaddis
Math 231 - Chapter 2 Essentials of Calculus by James Stewart Prepare by Jason Gais Chapter 2 - Derivatives 21 - Derivatives an Rates of Change Definition A tangent to a curve is a line that intersects
More information0.1 The Chain Rule. db dt = db
0. The Chain Rule A basic illustration of the chain rules comes in thinking about runners in a race. Suppose two brothers, Mark an Brian, hol an annual race to see who is the fastest. Last year Mark won
More informationJUST 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 informationDerivative 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 information3 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 information1 The Derivative of ln(x)
Monay, December 3, 2007 The Derivative of ln() 1 The Derivative of ln() The first term or semester of most calculus courses will inclue the it efinition of the erivative an will work out, long han, a number
More informationMTH 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 informationay (t) + by (t) + cy(t) = 0 (2)
Solving ay + by + cy = 0 Without Characteristic Equations, Complex Numbers, or Hats John Tolle Department of Mathematical Sciences Carnegie Mellon University Pittsburgh, PA 15213-3890 Some calculus courses
More informationMore from Lesson 6 The Limit Definition of the Derivative and Rules for Finding Derivatives.
Math 1314 ONLINE More from Lesson 6 The Limit Definition of the Derivative an Rules for Fining Derivatives Eample 4: Use the Four-Step Process for fining the erivative of the function Then fin f (1) f(
More information0.1 Differentiation Rules
0.1 Differentiation Rules From our previous work we ve seen tat it can be quite a task to calculate te erivative of an arbitrary function. Just working wit a secon-orer polynomial tings get pretty complicate
More informationTable of Contents Derivatives of Logarithms
Derivatives of Logarithms- Table of Contents Derivatives of Logarithms Arithmetic Properties of Logarithms Derivatives of Logarithms Example Example 2 Example 3 Example 4 Logarithmic Differentiation Example
More information016A Homework 10 Solution
016A Homework 10 Solution Jae-young Park November 2, 2008 4.1 #14 Write each expression in the form of 2 kx or 3 kx, for a suitable constant k; (3 x 3 x/5 ) 5, (16 1/4 16 3/4 ) 3x Solution (3 x 3 x/5 )
More informationFebruary 21 Math 1190 sec. 63 Spring 2017
February 21 Math 1190 sec. 63 Spring 2017 Chapter 2: Derivatives Let s recall the efinitions an erivative rules we have so far: Let s assume that y = f (x) is a function with c in it s omain. The erivative
More informationMATH 120 Theorem List
December 11, 2016 Disclaimer: Many of the theorems covere in class were not name, so most of the names on this sheet are not efinitive (they are escriptive names rather than given names). Lecture Theorems
More informationThe Chain Rule. Composition Review. Intuition. = 2(1.5) = 3 times faster than (X)avier.
The Chain Rule In the previous section we ha to use a trig ientity to etermine the erivative of. h(x) = sin(2x). We can view h(x) as the composition of two functions. Let g(x) = 2x an f (x) = sin x. Then
More information102 Problems Calculus AB Students Should Know: Solutions. 18. product rule d. 19. d sin x. 20. chain rule d e 3x2) = e 3x2 ( 6x) = 6xe 3x2
Problems Calculus AB Stuents Shoul Know: Solutions. + ) = + =. chain rule ) e = e = e. ) =. ) = ln.. + + ) = + = = +. ln ) =. ) log ) =. sin ) = cos. cos ) = sin. tan ) = sec. cot ) = csc. sec ) = sec
More informationCalculus and optimization
Calculus an optimization These notes essentially correspon to mathematical appenix 2 in the text. 1 Functions of a single variable Now that we have e ne functions we turn our attention to calculus. A function
More informationSection 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 informationVectors in two dimensions
Vectors in two imensions Until now, we have been working in one imension only The main reason for this is to become familiar with the main physical ieas like Newton s secon law, without the aitional complication
More informationInverse Trig Functions
Inverse Trig Functions -8-006 If you restrict fx) = sinx to the interval π x π, the function increases: y = sin x - / / This implies that the function is one-to-one, an hence it has an inverse. The inverse
More information