( ) ( ) ( ) ( ) ( ) ( y )

Similar documents
MTH 146 Class 11 Notes

4.8 Improper Integrals

e t dt e t dt = lim e t dt T (1 e T ) = 1

FM Applications of Integration 1.Centroid of Area

0 for t < 0 1 for t > 0

ENGR 1990 Engineering Mathematics The Integral of a Function as a Function

5.1-The Initial-Value Problems For Ordinary Differential Equations

CHAPTER 11 PARAMETRIC EQUATIONS AND POLAR COORDINATES

Mathematics 805 Final Examination Answers

Minimum Squared Error

Minimum Squared Error

f t f a f x dx By Lin McMullin f x dx= f b f a. 2

INTEGRALS. Exercise 1. Let f : [a, b] R be bounded, and let P and Q be partitions of [a, b]. Prove that if P Q then U(P ) U(Q) and L(P ) L(Q).

An integral having either an infinite limit of integration or an unbounded integrand is called improper. Here are two examples.

Chapter 2. Motion along a straight line. 9/9/2015 Physics 218

Definite Integrals. The area under a curve can be approximated by adding up the areas of rectangles = 1 1 +

MAT 266 Calculus for Engineers II Notes on Chapter 6 Professor: John Quigg Semester: spring 2017

Motion. Part 2: Constant Acceleration. Acceleration. October Lab Physics. Ms. Levine 1. Acceleration. Acceleration. Units for Acceleration.

3. Renewal Limit Theorems

REAL ANALYSIS I HOMEWORK 3. Chapter 1

1.0 Electrical Systems

September 20 Homework Solutions

How to Prove the Riemann Hypothesis Author: Fayez Fok Al Adeh.

How to prove the Riemann Hypothesis

1 The Riemann Integral

graph of unit step function t

MATH 124 AND 125 FINAL EXAM REVIEW PACKET (Revised spring 2008)

Honours Introductory Maths Course 2011 Integration, Differential and Difference Equations

Some Inequalities variations on a common theme Lecture I, UL 2007

Properties of Logarithms. Solving Exponential and Logarithmic Equations. Properties of Logarithms. Properties of Logarithms. ( x)

Chapter Direct Method of Interpolation

a < a+ x < a+2 x < < a+n x = b, n A i n f(x i ) x. i=1 i=1

Integral Transform. Definitions. Function Space. Linear Mapping. Integral Transform

A Kalman filtering simulation

Question Details Int Vocab 1 [ ] Question Details Int Vocab 2 [ ]

Unit 5. Integration techniques

Contraction Mapping Principle Approach to Differential Equations

PHYSICS 1210 Exam 1 University of Wyoming 14 February points

Average & instantaneous velocity and acceleration Motion with constant acceleration

Collision Detection and Bouncing

Anti-derivatives/Indefinite Integrals of Basic Functions

Physics 2A HW #3 Solutions

Positive and negative solutions of a boundary value problem for a

Solutions to Problems from Chapter 2

f(x) dx with An integral having either an infinite limit of integration or an unbounded integrand is called improper. Here are two examples dx x x 2

T-Match: Matching Techniques For Driving Yagi-Uda Antennas: T-Match. 2a s. Z in. (Sections 9.5 & 9.7 of Balanis)

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

dt = C exp (3 ln t 4 ). t 4 W = C exp ( ln(4 t) 3) = C(4 t) 3.

The Evaluation Theorem

10 Vector Integral Calculus

Chapter 2. First Order Scalar Equations

. Double-angle formulas. Your answer should involve trig functions of θ, and not of 2θ. sin 2 (θ) =

Indefinite Integral. Chapter Integration - reverse of differentiation

IX.1.1 The Laplace Transform Definition 700. IX.1.2 Properties 701. IX.1.3 Examples 702. IX.1.4 Solution of IVP for ODEs 704

u(t)dt + i a f(t)dt f(t) dt b f(t) dt (2) With this preliminary step in place, we are ready to define integration on a general curve in C.

The problems that follow illustrate the methods covered in class. They are typical of the types of problems that will be on the tests.

14.4. Lengths of curves and surfaces of revolution. Introduction. Prerequisites. Learning Outcomes

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

Magnetostatics Bar Magnet. Magnetostatics Oersted s Experiment

. Double-angle formulas. Your answer should involve trig functions of θ, and not of 2θ. cos(2θ) = sin(2θ) =.

Section 7.1 Area of a Region Between Two Curves

We divide the interval [a, b] into subintervals of equal length x = b a n

Hermite-Hadamard-Fejér type inequalities for convex functions via fractional integrals

APPLICATIONS OF THE DEFINITE INTEGRAL

The solution is often represented as a vector: 2xI + 4X2 + 2X3 + 4X4 + 2X5 = 4 2xI + 4X2 + 3X3 + 3X4 + 3X5 = 4. 3xI + 6X2 + 6X3 + 3X4 + 6X5 = 6.

University of. d Class. 3 st Lecture. 2 nd

A 1.3 m 2.5 m 2.8 m. x = m m = 8400 m. y = 4900 m 3200 m = 1700 m

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007

r 0 ( ) cos( ) r( )sin( ). 1. Last time, we calculated that for the cardioid r( ) =1+sin( ),

Spring 2017 Exam 1 MARK BOX HAND IN PART PIN: 17

IX.1.1 The Laplace Transform Definition 700. IX.1.2 Properties 701. IX.1.3 Examples 702. IX.1.4 Solution of IVP for ODEs 704

Integration Techniques

7. Indefinite Integrals

Review of Calculus, cont d

Chapter 8: Methods of Integration

Week #13 - Integration by Parts & Numerical Integration Section 7.2

Some basic notation and terminology. Deterministic Finite Automata. COMP218: Decision, Computation and Language Note 1

14. The fundamental theorem of the calculus

MATH 31B: MIDTERM 2 REVIEW. x 2 e x2 2x dx = 1. ue u du 2. x 2 e x2 e x2] + C 2. dx = x ln(x) 2 2. ln x dx = x ln x x + C. 2, or dx = 2u du.

Chapter 2: Evaluative Feedback

EXERCISE - 01 CHECK YOUR GRASP

The area under the graph of f and above the x-axis between a and b is denoted by. f(x) dx. π O

Section 4.8. D v(t j 1 ) t. (4.8.1) j=1

Fall 2017 Exam 1 MARK BOX HAND IN PART PIN: 17

INDIAN INSTITUTE OF TECHNOLOGY BOMBAY MA205 Complex Analysis Autumn 2012

RESPONSE UNDER A GENERAL PERIODIC FORCE. When the external force F(t) is periodic with periodτ = 2π

( dg. ) 2 dt. + dt. dt j + dh. + dt. r(t) dt. Comparing this equation with the one listed above for the length of see that

ES.182A Topic 32 Notes Jeremy Orloff

Exploring parametric representation with the TI-84 Plus CE graphing calculator

x = b a n x 2 e x dx. cdx = c(b a), where c is any constant. a b

Polynomials and Division Theory

AP Calculus Multiple Choice: BC Edition Solutions

ECE Microwave Engineering

Chapters Five Notes SN AA U1C5

ECE Microwave Engineering. Fall Prof. David R. Jackson Dept. of ECE. Notes 10. Waveguides Part 7: Transverse Equivalent Network (TEN)

GENERALIZATION OF SOME INEQUALITIES VIA RIEMANN-LIOUVILLE FRACTIONAL CALCULUS

Math 190 Chapter 5 Lecture Notes. Professor Miguel Ornelas

Math 113 Exam 2 Practice

Section 6.1 Definite Integral

Suppose we want to find the area under the parabola and above the x axis, between the lines x = 2 and x = -2.

Transcription:

8. Lengh of Plne Curve The mos fmous heorem in ll of mhemics is he Pyhgoren Theorem. I s formulion s he disnce formul is used o find he lenghs of line segmens in he coordine plne. In his secion you ll see how his sme heorem, when comined wih he clculus concep of limis, llows us o find he lenghs of coninuous plne curves defined s grphs of funcions or s grphs of prmeric equions. We ll do his y wy of he Riemnn inegrl you were inroduced o in prior clculus course. Consider piece of curve defined y funcion y f ( x) over n inervl x. To pproxime he lengh of his curve, one cn sudivide he inervl [, ] ino suinervls (o he righ we ve used four suinervls). This gives us he following poins on he curve: P ( x, y ), P ( x, y ). P x, y, P x, y, P x, y, 1 1 1 Here s usul, y f x i i. for ech of hese poins. The curve lengh is hen pproximely he sum of he lenghs of he line segmens connecing hese poins: + + + ( dis P, P dis P, P dis P, P dis P, P 1 1 ( ) ( y ) x x + y y + x x + y y + x x + y y + x x + y 1 1 1 1 Using summion noion his is shorer: ( x x ) + ( y y ) Lengh k+ 1 k k+ 1 k k Of course if we use more suinervls he pproximion will e even closer o he rue lengh of he curve. Going from suinervls o n suinervls is very esy using summion noion: ) k ( x x ) ( y y ) Lengh + k+ 1 k k+ 1 k

To mke hings more precise nd specific, we divide he inervl [, ] ino n equl suinervls, ech of lengh xn Δ x. Then xk + k Δ x for k, 1,,, n. Defined his wy, x nd n. Since ech suinervl is of lengh x k k+ 1 k Δ, we hve h xk 1 x Δ y y y, so our lengh pproximion formul ecomes: + k x Δ for ll k. Also, les define xk xk yk yk x yk k k ( + 1 ) ( + 1 ) Δ Lengh + Δ + If we now fcor ou he Δ x, we ge: Δy k Δyk Lengh Δ x +Δyk 1+ x 1 Δ + Δ k k Δx k Δx x Tking he limi s he numer of sudivisions n goes o infiniy, our summion ecomes Riemnn inegrl nd he pproximion ecomes he exc curve lengh. In fc, h s how we will define curve lengh: Δyk dy Lengh lim 1+ x 1 n Δ + k Δx dy Lengh 1+ 1 + ( f '( x) ) Exmple 1. Find he lengh of he curve defined y x x y for x. Since 1 1 x x dy y x x x, we hve 1 dy Lengh 1+ 1+ x 1 + x Mking he susiuion u 1 + x du, we ge

1 u Lengh udu u du 1 ( ) 1 ( 1) 1 1 1 1 Exmple. Find he lengh of he prolic rc defined y x y for x 1. Since 1 x dy x y x, we hve 1 1 dy Lengh 1+ 1+ x Mking he susiuion x n sec d θ θ θ, we ge Lengh 1+ n θ sec θ dθ secθ sec θ dθ sec θ dθ Invoking ulr inegrion: + sec x sec x sec x n x n x We ge: sec x sec xn x sec xn x sec xn x sec x sec x 1 sec x sec x + sec xn x sec x x x x+ x x x+ ln sec x + n x sec sec n sec sec n Thus: sec Lengh sec xn x+ ln sec x+ n x x + C sec θ dθ secθ nθ + ln secθ + nθ θ θ

1 Lengh sec n ln sec n sec n ln sec n + + + 1 + ln 1+ ( 1+ ln + 1 1 ln 1+ ) 1.177957696 x Exmple. Find he lengh of he piece of cenry curve defined y y cosh for x. Since x dy x 1 x y cosh sinh sinh, we hve x sinh dy x x Lengh 1 1 sinh cosh + + 1 sinh sinh ( sinh1 sinh ) ( sinh1 ) sinh1 ( e ) or 1 1 e e e e e e 1 1 e e e Exmple. Find he rc lengh of he curve defined y x + 8 y for x. x x x x + 8 x + 8 dy y x x dy x 16 8x Hence: ( x 16) ( x ( x + 8 ) ) x 8 ( x 16) x 8 8 ( x + ) x x 8 8 6x x x x + x 16 dy 1 6x x 6x dy x 16 x x + 56 6x + x x + 56 1+ 1+ 1 1 + + 8x 6x 6x 6x + + 56 + 56 x + 16 + 6 8x

And so: dy x + 16 x 16 1 x x 8x 8x 8x 8 Lengh 1+ + + 1 1 x x 1 1 1 + ( ) ( ) 8 1 7 1 7 1 17 + 6 ( 1) 1 1 Even finding he lengh of he grph of pr of simple nd degree polynomil wsn so esy. Unforunely mos rc lengh inegrls re no solvle, excep numericlly. Bu if you cn les se up he correc rc lengh inegrl, you cn find numericl pproximions o he exc nswer h re s ccure s you like, using he pproprie sofwre (or clculor). If you ke look ny clculus ex s coverge of he opic of rc lengh, you ll noice h here re no mny exmples; nor re here mny homework prolems. No only his, u you ll see he sme prolems! There jus ren mny rc lengh inegrls h cn e solved in he usul sense. We ll ge few more using prmeric equions! Le curve e defined y prmeric equions () x f y g, for. To pproxime he curve s lengh, we ll divide he inervl ino n equl suinervls, ech of lengh Δ. Then we define k + k Δ, for n k, 1,,, n. We hve he poins P ( x, y ), P ( x, y ). P x, y, P x, y, P x, y, 1 1 1

Here x f ( ) nd y g( ) for ech of hese poins. The curve lengh is hen pproximely he k k k k sum of he lenghs of he line segmens connecing hese poins: + + + ( dis P, P dis P, P dis P, P dis P, P 1 1 ( ) ( y ) x x + y y + x x + y y + x x + y y + x x + y 1 1 1 1 Using summion noion his is shorer: ( x x ) + ( y y ) k Lengh k k k k + 1 + 1 As efore, if we use more suinervls he pproximion will e even closer o he rue lengh of he curve. And s efore, going from suinervls o n suinervls is very esy using summion noion: k ( x x ) ( y y ) Lengh + k+ 1 k k+ 1 k ) Leing Δ ( nd y g( ) g( ) x f f k k k + 1 ) Δ for k, 1,,,, he ove formul k k+ 1 k ecomes: Lengh Δ x +Δy k k k Nex we muliply y Δ Δ : Δ Δ xk +Δyk Δxk Δyk k k k Δ k Δ k Δ Δ Lengh Δ x +Δy Δ + Δ Tking he limi s he numer of sudivisions n goes o infiniy, our summion ecomes Riemnn inegrl nd he pproximion ecomes he exc curve lengh. In fc, h s how we will define curve lengh for prmericlly defined curves: Δxk Δy k dy lim n k Δ Δ d d Lengh + Δ + d dy Lengh + d ( f '() ) + ( g '() ) d d d

Exmple 5. Find he rc lengh of he curve prmericlly defined y x y for 1. dy dy nd + ( ) + ( ) 9 + 9 + d d d d And so: 1 1 dy Lengh + 9 + d d d d Mking he susiuion u 9 + du 18 d du d, our inegrl ecomes: 18 1 1 1 1 1 1 1 1 1 u d 18 u du 18 u du 18 Lengh 9 + 1 1 1 1 1 8 1 1 1 1 18 7 7 7 Exmple 6. Find he lengh of he curve deermined y x rsin y rcos for. This prmerizion rces ou circle of rdius r once (clockwise nd sring 1:), so he lengh of he rc is simply he circumference of h circle. Since he circumference of circle wih rdius r is r, h s he lengh of he curve. Bu h ws oo esy! Le s do i gin, using he defining prmeric equions: dy dy rcos nd rsin + rcos + rsin d d d d r cos + sin r 1 r And so: dy Lengh + d r d r d r r ( ) r d d

Exmple 7. Find he lengh of he curve deermined y ( ) ( ) x e cos y e sin for 5. dy e cos e sin nd e sin + e cos d d ( ) ( ) ( ) ( ) dy + + + d d ( e cos( ) e sin ( ) ) e sin ( ) e cos( ) ( cos( ) sin ( )) sin ( ) + cos( ) e + ( ) ( ) e C S S C + + Noice in h ls line how he noion is simplified. This kind of susiuion mkes he lger much esier, nd eses he wrier s crmp! To coninue e C CS + S + S + SC + C e C + S + ( S + C ) e 1+ Thus, 5 5 5 dy Lengh + d e 1+ d 1+ e d 1+ e d d 5 ( e e ) ( e ) 5 5 1+ 1 1+ Exmple 8. Find he lengh of he curve deermined y x + 1 y n ln 1 for 1. 1 1 1 1 d ln + 1 d ln ( + 1) d ln ( + 1) d ln ( + 1) d d d d d + 1 + 1 1 + n + + dy d 1 dy 1 1 1 d d 1+ d d + 1 + 1 + 1 + 1 Hence, 1 1 dy d Lengh + d d d + 1

Mking he susiuion n d sec d θ θ θ, our inegrl ecomes: 1 d sec θ dθ sec θ dθ Lengh + 1 n θ + 1 secθ θ θ sec + sec n secθ dθ sec + n θ θ θ secθ dθ dθ ln sec + n secθ + nθ secθ + nθ θ θ ( + ) ln sec + n ln sec + n ln + 1 ln 1+ ln 1 Exmple 9. Find n inegrl h equls he lengh of he sine curve over one period. One period of he sine curve cn e prmerized y x y sin for. Thus: Hence, dy dy 1 nd cos + 1 + ( cos) 1+ cos d d d d dy Lengh + d 1+ cos d d d This inegrl cn e solved y ny elemenry inegrion echniques one will ever encouner in Clculus I. ( Bu in cse you re ineresed, h lengh is pproximely 7.6955785558. ) In he ls secion of his chper you ll lern some echniques for evluing inegrls numericlly. Numericl echniques re essenil for evluing inegrls like he one we jus encounered in our ls exmple. And such inegrls cully end o e he rule rher hn he excepion. Bu sophisiced numericl inegrion lgorihms now hrdwired ino mny inexpensive clculors, nd powerful sofwre like Mple re lso ville o esily del wih reclcirn inegrls!