Section 3: Antiderivatives of Formulas

Similar documents
Integration Continued. Integration by Parts Solving Definite Integrals: Area Under a Curve Improper Integrals

INTEGRALS. Chapter 7. d dx. 7.1 Overview Let d dx F (x) = f (x). Then, we write f ( x)

TOPIC 5: INTEGRATION

Chapter 16. 1) is a particular point on the graph of the function. 1. y, where x y 1

, between the vertical lines x a and x b. Given a demand curve, having price as a function of quantity, p f (x) at height k is the curve f ( x,

CONTINUITY AND DIFFERENTIABILITY

a b c cat CAT A B C Aa Bb Cc cat cat Lesson 1 (Part 1) Verbal lesson: Capital Letters Make The Same Sound Lesson 1 (Part 1) continued...

The Derivative of the Natural Logarithmic Function. Derivative of the Natural Exponential Function. Let u be a differentiable function of x.

Ch 1.2: Solutions of Some Differential Equations

this is called an indeterninateformof-oior.fi?afleleitns derivatives can now differentiable and give 0 on on open interval containing I agree to.

12/3/12. Outline. Part 10. Graphs. Circuits. Euler paths/circuits. Euler s bridge problem (Bridges of Konigsberg Problem)

Mathematics. Mathematics 3. hsn.uk.net. Higher HSN23000

5/9/13. Part 10. Graphs. Outline. Circuits. Introduction Terminology Implementing Graphs

Paths. Connectivity. Euler and Hamilton Paths. Planar graphs.

# 1 ' 10 ' 100. Decimal point = 4 hundred. = 6 tens (or sixty) = 5 ones (or five) = 2 tenths. = 7 hundredths.

SOLVED EXAMPLES. be the foci of an ellipse with eccentricity e. For any point P on the ellipse, prove that. tan

Instructions for Section 1

Math 61 : Discrete Structures Final Exam Instructor: Ciprian Manolescu. You have 180 minutes.

How much air is required by the people in this lecture theatre during this lecture?

Chem 104A, Fall 2016, Midterm 1 Key

Last time: introduced our first computational model the DFA.

1 Introduction to Modulo 7 Arithmetic

COMP108 Algorithmic Foundations

ECE COMBINATIONAL BUILDING BLOCKS - INVEST 13 DECODERS AND ENCODERS

Interpreting Integrals and the Fundamental Theorem

CSI35 Chapter 11 Review

Decimals DECIMALS.

EE1000 Project 4 Digital Volt Meter

CSE 373: More on graphs; DFS and BFS. Michael Lee Wednesday, Feb 14, 2018

Limits Indeterminate Forms and L Hospital s Rule

CSE303 - Introduction to the Theory of Computing Sample Solutions for Exercises on Finite Automata

Minimum Spanning Trees

Section 6: Area, Volume, and Average Value

PH427/PH527: Periodic systems Spring Overview of the PH427 website (syllabus, assignments etc.) 2. Coupled oscillations.

CSC Design and Analysis of Algorithms. Example: Change-Making Problem

Section 5.1/5.2: Areas and Distances the Definite Integral

Walk Like a Mathematician Learning Task:

This Week. Computer Graphics. Introduction. Introduction. Graphics Maths by Example. Graphics Maths by Example

Outline. Circuits. Euler paths/circuits 4/25/12. Part 10. Graphs. Euler s bridge problem (Bridges of Konigsberg Problem)

FSA. CmSc 365 Theory of Computation. Finite State Automata and Regular Expressions (Chapter 2, Section 2.3) ALPHABET operations: U, concatenation, *

Exam 1 Solution. CS 542 Advanced Data Structures and Algorithms 2/14/2013

Q.28 Q.29 Q.30. Q.31 Evaluate: ( log x ) Q.32 Evaluate: ( ) Q.33. Q.34 Evaluate: Q.35 Q.36 Q.37 Q.38 Q.39 Q.40 Q.41 Q.42. Q.43 Evaluate : ( x 2) Q.

ME 522 PRINCIPLES OF ROBOTICS. FIRST MIDTERM EXAMINATION April 19, M. Kemal Özgören

Fundamental Theorem of Calculus

MATHEMATICS FOR MANAGEMENT BBMP1103

Multiple Short Term Infusion Homework # 5 PHA 5127

What do you know? Listen and find. Listen and circle. Listen and chant. Listen and say. Lesson 1. sheep. horse

APPENDIX. Precalculus Review D.1. Real Numbers and the Real Number Line

Chapter 6 Notes, Larson/Hostetler 3e

Partial Derivatives: Suppose that z = f(x, y) is a function of two variables.

UNIT # 08 (PART - I)

S i m p l i f y i n g A l g e b r a SIMPLIFYING ALGEBRA.

12. Traffic engineering

b. How many ternary words of length 23 with eight 0 s, nine 1 s and six 2 s?

CIVL 8/ D Boundary Value Problems - Rectangular Elements 1/7

Numbering Boundary Nodes

CONIC SECTIONS. MODULE-IV Co-ordinate Geometry OBJECTIVES. Conic Sections

QUESTIONS BEGIN HERE!

CSE 373: AVL trees. Warmup: Warmup. Interlude: Exploring the balance invariant. AVL Trees: Invariants. AVL tree invariants review

Graphs. CSC 1300 Discrete Structures Villanova University. Villanova CSC Dr Papalaskari

Case Study VI Answers PHA 5127 Fall 2006

MA123, Chapter 10: Formulas for integrals: integrals, antiderivatives, and the Fundamental Theorem of Calculus (pp.

5.3 The Fundamental Theorem of Calculus

x dx does exist, what does the answer look like? What does the answer to

CS September 2018

Polynomial Approximations for the Natural Logarithm and Arctangent Functions. Math 230

approaches as n becomes larger and larger. Since e > 1, the graph of the natural exponential function is as below

Solutions for HW11. Exercise 34. (a) Use the recurrence relation t(g) = t(g e) + t(g/e) to count the number of spanning trees of v 1

Why the Junction Tree Algorithm? The Junction Tree Algorithm. Clique Potential Representation. Overview. Chris Williams 1.

u r du = ur+1 r + 1 du = ln u + C u sin u du = cos u + C cos u du = sin u + C sec u tan u du = sec u + C e u du = e u + C

Module graph.py. 1 Introduction. 2 Graph basics. 3 Module graph.py. 3.1 Objects. CS 231 Naomi Nishimura

5.4, 6.1, 6.2 Handout. As we ve discussed, the integral is in some way the opposite of taking a derivative. The exact relationship

Aquauno Video 6 Plus Page 1

Multi-Section Coupled Line Couplers

Situation Calculus. Situation Calculus Building Blocks. Sheila McIlraith, CSC384, University of Toronto, Winter Situations Fluents Actions

Problem solving by search

The second condition says that a node α of the tree has exactly n children if the arity of its label is n.

Mathematics 1110H Calculus I: Limits, derivatives, and Integrals Trent University, Summer 2018 Solutions to the Actual Final Examination

4.4 Areas, Integrals and Antiderivatives

Outline. 1 Introduction. 2 Min-Cost Spanning Trees. 4 Example

Using integration tables

Lectures 2 & 3 - Population ecology mathematics refresher

SOLVED EXAMPLES. Ex.1 If f(x) = , then. is equal to- Ex.5. f(x) equals - (A) 2 (B) 1/2 (C) 0 (D) 1 (A) 1 (B) 2. (D) Does not exist = [2(1 h)+1]= 3

CS 461, Lecture 17. Today s Outline. Example Run

DFA (Deterministic Finite Automata) q a

MASSACHUSETTS INSTITUTE OF TECHNOLOGY HAYSTACK OBSERVATORY WESTFORD, MASSACHUSETTS

ROB EBY Blinn College Mathematics Department

Graphs. Graphs. Graphs: Basic Terminology. Directed Graphs. Dr Papalaskari 1

Graph Isomorphism. Graphs - II. Cayley s Formula. Planar Graphs. Outline. Is K 5 planar? The number of labeled trees on n nodes is n n-2

, each of which is a tree, and whose roots r 1. , respectively, are children of r. Data Structures & File Management

A Simple Code Generator. Code generation Algorithm. Register and Address Descriptors. Example 3/31/2008. Code Generation

1 The Definite Integral As Area

CS61B Lecture #33. Administrivia: Autograder will run this evening. Today s Readings: Graph Structures: DSIJ, Chapter 12

Constructive Geometric Constraint Solving

3.1 EXPONENTIAL FUNCTIONS & THEIR GRAPHS

COLLECTION OF SUPPLEMENTARY PROBLEMS CALCULUS II

Basic Derivative Properties

Properties of Integrals, Indefinite Integrals. Goals: Definition of the Definite Integral Integral Calculations using Antiderivatives

Winter 2016 COMP-250: Introduction to Computer Science. Lecture 23, April 5, 2016

Chapter 6 Continuous Random Variables and Distributions

Transcription:

Chptr Th Intgrl Appli Clculus 96 Sction : Antirivtivs of Formuls Now w cn put th is of rs n ntirivtivs togthr to gt wy of vluting finit intgrls tht is ct n oftn sy. To vlut finit intgrl f(t) t, w cn fin ny ntirivtiv F of f n vlut F() F(). Th prolm of fining th ct vlu of finit intgrl rucs to fining som (ny) ntirivtiv F of th intgrn n thn vluting F() F(). Evn fining on ntirivtiv cn ifficult, n w will stick to functions tht hv sy ntirivtivs. Builing Blocks Antiiffrntition is going ckwrs through th rivtiv procss. So th sist ntirivtiv ruls r simply ckwrs vrsions of th sist rivtiv ruls. Rcll from Chptr : Drivtiv Ruls: Builing Blocks In wht follows, f n g r iffrntil functions of n k n n r constnts. () Constnt Multipl Rul: kf kf ' () Sum (or Diffrnc) Rul: f g f ' g' (or f g f ' g' n n n (c) Powr Rul: Spcil css: k () Eponntil Functions: (cus (cus ln k k ) ) ) ln () Nturl Logrithm: Thinking out ths sic ruls ws how w cm up with th ntirivtivs of n for. This chptr is (c). It ws rmi y Dvi Lippmn from Shn Clwy's rmi of Contmporry Clculus y Dl Hoffmn. It is licns unr th Crtiv Commons Attriution licns.

Chptr Th Intgrl Appli Clculus 97 Th corrsponing ruls for ntirivtivs r nt ch of th ntirivtiv ruls is simply rwriting th rivtiv rul. All of ths ntirivtivs cn vrifi y iffrntiting. Thr is on surpris th ntirivtiv of / is ctully not simply ln(), it s ln. This is goo thing th ntirivtiv hs omin tht mtchs th omin of /, which is iggr thn th omin of ln(), so w on t hv to worry out whthr our s r positiv or ngtiv. But you must crful to inclu thos solut vlus othrwis, you coul n up with omin prolms. Antirivtiv Ruls: Builing Blocks In wht follows, f n g r iffrntil functions of n k, n, n C r constnts. () Constnt Multipl Rul: kf ( ) k f () Sum (or Diffrnc) Rul: f ( ) g f f (c) Powr Rul: n n C, provi tht n = n Spcil cs: k k C (cus k k ) () Eponntil Functions: C C ln () Nturl Logrithm: ln C

Chptr Th Intgrl Appli Clculus 98 Empl 7 Fin th ntirivtiv of 8 / 7 7 / C 8 / Tht s littl hr to look t, so you might wnt to simplify littl: 8 7 / C. 8 Empl Fin 6 6 6 ln C Empl Fin F() so tht F ' n F. This tim w r looking for prticulr ntirivtiv; w n to fin ctly th right constnt. Lt s strt y fining th ntirivtiv: C So w know tht F som constnt; w just n to fin which on. For tht, w ll us th othr pic of informtion (th initil conition): F C F C 9 C C Th prticulr constnt w n is 9; F 9.

Chptr Th Intgrl Appli Clculus 99 Th rson w r looking t ntirivtivs right now is so w cn vlut finit intgrls ctly. Rcll th Funmntl Thorm of Clculus: F ' F F If w cn fin n ntirivtiv for th intgrn, w cn us tht to vlut th finit intgrl. Th vlution F() F() is rprsnt y th symol F ] or F. Empl Evlut in two wys: (i) By sktching th grph of y = n gomtriclly fining th r. (ii) By fining n ntirivtiv of F() of th intgrn n vluting F() F(). (i) Th grph of y = is shown to th right, n th sh rgion corrsponing to th intgrl hs r. (ii) On ntirivtiv of is F( ), n 9 ]. Not tht this nswr grs with th nswr w got gomtriclly. If w h us nothr ntirivtiv of, sy F ( ) 7, thn 9 7 7 ] 7 7 7. Whtvr constnt you choos, it gts sutrct wy uring th vlution; w might s wll lwys choos th sist on, whr th constnt =. Empl Fin th r twn th grph of y = n th horizontl is for twn n. This is 7. ]

Chptr Th Intgrl Appli Clculus Empl 6 A root hs n progrmm so tht whn it strts to mov, its vlocity ftr t scons will t ft/scon. () How fr will th root trvl uring its first scons of movmnt? () How fr will th root trvl uring its nt scons of movmnt? () Th istnc uring th first scons will th r unr th grph of vlocity, from t = to t =. Tht r is th finit intgrl t t. An ntirivtiv of t is t, so t t t 6 8 8 ft. () t t t 8 6 8 ft. Empl 7 Suppos tht t minuts ftr putting ctri on Ptri plt th rt of growth of th popultion is 6t ctri pr minut. () How mny nw ctri r to th popultion uring th first 7 minuts? () Wht is th totl popultion ftr 7 minuts? () Th numr of nw ctri is th r unr th rt of growth grph, n on ntirivtiv of 6t is t. 7 So nw ctri = 6t t = t 7 = (7) () = 7 () Th nw popultion = (ol popultion) + (nw ctri) = + 7 = 7 ctri. Empl 8 A compny trmins thir mrginl cost for prouction, in ollrs pr itm, is MC ( ) whn proucing thousn itms. Fin th cost of incrsing prouction from thousn itms to thousn itms. Rmmr tht mrginl cost is th rt of chng of cost, n so th funmntl thorm tlls us tht MC ( ) C( ) C( ) C( ). In othr wors, th intgrl of mrginl cost will

Chptr Th Intgrl Appli Clculus giv us nt chng in cost. To fin th cost of incrsing prouction from thousn itms to thousn itms, w n to intgrt MC ( ). W cn writ th mrginl cost s MC ( ) /. W cn thn us th sic ruls to fin n ntirivtiv: / C( ) 8. Using this, / Nt chng in cost = 8 8 8. 889 It will cost.889 thousn ollrs to incrs prouction from thousn itms to thousn itms.

Chptr Th Intgrl Appli Clculus. Erciss For prolms -, fin th inict ntirivtiv.......y. w. P P 6. 7. 8. t t 9.. t t For prolms -8, fin n ntirivtiv of th intgrn n us th Funmntl Thorm to vlut th finit intgrl.... ( + ).. 6. 7. 8. For prolms 9 - fin th r shown in th figur. 9...