Revisit: Limits at Infinity

Size: px
Start display at page:

Download "Revisit: Limits at Infinity"

Transcription

1 Revisit: Limits t Infinity Limits t Infinity: Wewrite to men the following: f () =L, or f ()! L s! + Conceptul Mening: Thevlueoff () willbesclosetol s we like when is su Forml Definition: Forny"> 0(nomtterhowsmll)thereeistsnM > 0suchtht f () L <" whenever > M. ciently lrge. Figure: Grph eventully trpped inside ny rbitrrily thin bnd round the H.A. University Clculus II (University of Clgry) Winter 208 /

2 Emple! 0 s! +. The following tble suggests tht the vlue of is rbitrrily smll whenever is su ciently lrge The following grphs lso seem to confirm this observtion: Figure: 0 < < 0. whenever > 0, 0 < < 0.05 whenever > 20 Generlly, for ny ">0, no mtter how smll, 0 = <"whenever > ". University Clculus II (University of Clgry) Winter /

3 Infinite Limits t Infinity: Wewrite to men the following: f () =+, or f ()! + s! + Conceptul Mening: Thevlueoff () willbeslrgeswelikewhen is su Forml Definition: FornyB > 0(nomtterhowlrge)thereeistsM > 0suchtht f () > B whenever > M. ciently lrge. Figure: Grph eventully rises bove ny horizontl br t n rbitrrily high ltitude. University Clculus II (University of Clgry) Winter /

4 Emple p! + s! +,. We consider list of incresing vlues of p p will be rbitrrily lrge when is su ciently lrge. p is lrger thn 00 whenever is lrger thn 0000: p > 00 () > p is lrger thn 000 whenever is lrger thn : p > 000 () > In generl, for ny B > 0, no mtter how lrge, p is lrger thn B whenever is lrger thn B 2 : p > B () > B 2. University Clculus II (University of Clgry) Winter /

5 Clculting Limits t Infinity: Someusefulfcts:As! +, n! if n > 0 nd! 0 if n > 0. n! + if > nd! 0 if 0 < <. ln! +. tn! 2. sin nd cos do not hve it. University Clculus II (University of Clgry) Winter /

6 Clculting Limits t Infinity: Someusefuldominncefcts:As! +, e domintes ny positive power of : Any positive power of domintes ln : n e! 0. ln n! 0. University Clculus II (University of Clgry) Winter /

7 Clculting Limits t Infinity: Limit Lws: Iff ()! A nd g()! B eist s! +, then(providedtheseredefined), f () +g()! A + B, f () g()! A B, f ()g()! AB, Squeeze Theorem: Iff () pple g() pple h() forll su! +, theng()! L s! +. l Hospitl s Rule: Suppose f () g()! A, (provided B 6= 0). B ciently lrge, then if f ()! L nd h()! L s f () g() is n indeterminte form, 0 0 or,then f () g() = provided the right hnd side eists or is + or is. f 0 () g 0 (), Emple We cn prove the dominnce of the eponentil function over the power functions by repeted pplictions of l Hospitl s rule: n e = n n n(n ) n 2 n(n )(n 2)... 2 = =... = =0. e e e University Clculus II (University of Clgry) Winter /

8 Revisit: Improper Integrls Improper Integrls over unbounded domins [, +): Z + f () d mens Z b f () d. b!+ Figure: Improper integrl defined s the it of (right br dvnces continuously, not step-by-step)... Note: If f is continuous on [, +) nd < c, then Z + f () d converges if nd only if Z + c f () d does. Furthermore, Z + f () d = Z c f () d + Z + f () d c University Clculus II (University of Clgry) Winter /

9 Emple The p-integrls: Afcttoremember Z + d =+ if p pple nd p Z + d = p p if p >. Solution. For the cse p =, Z + d = Z b b!+ d = b ln b = ln b =+. b!+ For the cses p > ndp <, the ntiderivtive is given by the power rule: Z + p d = b!+ Z b p d = b!+ p+ p + b = b!+ After this point, the it di ers depending on whether p < orp >. b p p + p If p <, then p > 0. So, b p! + s b! +. So,theintegrldivergesto+. If p >, then p < 0. So, b p! 0sb! +. So,theintegrlconvergesto p. University Clculus II (University of Clgry) Winter /!.

10 Improper Integrls - Comprison: If0pple f () pple g() forll in [, +), then Z + Z + g() d < + =) f () d =+ =) Z + Z + f () d < +. g() d =+. Improper Integrls - Limit Comprison: Iff () > 0ndg() > 0forll in [, +), nd if f () g() = L, where L is positive rel number, then the two improper integrls Z + f () d nd Z + Reson: The it condition implies tht if is su m < f () g() g() d either both converge or both diverge to +. ciently lrge, then f () g() is so close to L tht < M where (m, M) issmllopenintervlcontiningl nd m > 0. It follows tht f () < Mg() ndg() < m f (). Thus, the convergence of one of the two integrls implies the convergence of the other. University Clculus II (University of Clgry) Winter /

11 Emple Discuss the convergence or divergence of the improper integrl Z + d. Solution. For 2, we hve 2 > 0. So, tking reciprocls, we get 0 < pple. 2 Since Emple Z + 2 It follows tht d converges, so does 2 Z + Z + d converges too. 2 d. Discusee the convergence or divergence of the improper integrl Z d. Solution. Letf () denotethegivenintegrndndg() =.Then, 2 f () > 0ndg() > 0forll su ciently lrge. As! +, f () g() = !. By it comprison, the integrls of f () ndg() eitherbothconvergeorbothdiverge. Since the integrl of g() converges,sodoesthtoff (). University Clculus II (University of Clgry) Winter 208 /

12 Emples nd Eercises Find the following its , e +cos sin, +sin, Evlute the following improper integrls. Z + 2ln +3 p, tn e, etn, (2 +3) 4 d, Z + 0 e 4 d, Z + e Z + (ln ) 2 + d, e + e +, 3/2 d, Z + 0 Z + e + c ln d, 2 + d Use comprison rgument to determine the convergence or divergence of the following improper integrls. Z d, Z + 2+sin 2 d, Z + e 2+ln d, Z + 0 e cos d, Z e d University Clculus II (University of Clgry) Winter /

Improper Integrals. October 4, 2017

Improper Integrals. October 4, 2017 Improper Integrls October 4, 7 Introduction We hve seen how to clculte definite integrl when the it is rel number. However, there re times when we re interested to compute the integrl sy for emple 3. Here

More information

Introduction to Integration

Introduction to Integration Introduction to Integrtion Definite integrls of piecewise constnt functions A constnt function is function of the form Integrtion is two things t the sme time: A form of summtion. The opposite of differentition.

More information

)

) Chpter Five /SOLUTIONS Since the speed ws between nd mph during this five minute period, the fuel efficienc during this period is between 5 mpg nd 8 mpg. So the fuel used during this period is between

More information

Unit #9 : Definite Integral Properties, Fundamental Theorem of Calculus

Unit #9 : Definite Integral Properties, Fundamental Theorem of Calculus Unit #9 : Definite Integrl Properties, Fundmentl Theorem of Clculus Gols: Identify properties of definite integrls Define odd nd even functions, nd reltionship to integrl vlues Introduce the Fundmentl

More information

Solutions to Math 41 Final Exam December 12, 2011

Solutions to Math 41 Final Exam December 12, 2011 Solutions to Mth Finl Em December,. ( points) Find ech of the following its, with justifiction. If there is n infinite it, then eplin whether it is or. ( ) / ln() () (5 points) First we compute the it:

More information

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

a < a+ x < a+2 x < < a+n x = b, n A i n f(x i ) x. i=1 i=1 Mth 33 Volume Stewrt 5.2 Geometry of integrls. In this section, we will lern how to compute volumes using integrls defined by slice nlysis. First, we recll from Clculus I how to compute res. Given the

More information

The Fundamental Theorem of Calculus

The Fundamental Theorem of Calculus MATH 6 The Fundmentl Theorem of Clculus The Fundmentl Theorem of Clculus (FTC) gives method of finding the signed re etween the grph of f nd the x-xis on the intervl [, ]. The theorem is: FTC: If f is

More information

Lecture 7: Integration Techniques

Lecture 7: Integration Techniques Lecture 7: Integrtion Techniques Antiderivtives nd Indefinite Integrls. In differentil clculus, we were interested in the derivtive of given rel-vlued function, whether it ws lgeric, eponentil or logrithmic.

More information

5/9/17. Lesson 51 - FTC PART 2. Review FTC, PART 1. statement as the Integral Evaluation Theorem as it tells us HOW to evaluate the definite integral

5/9/17. Lesson 51 - FTC PART 2. Review FTC, PART 1. statement as the Integral Evaluation Theorem as it tells us HOW to evaluate the definite integral Lesson - FTC PART 2 Review! We hve seen definition/formul for definite integrl s n b A() = lim f ( i )Δ = f ()d = F() = F(b) F() n i=! where F () = f() (or F() is the ntiderivtive of f() b! And hve seen

More information

EXPONENTIAL & POWER GRAPHS

EXPONENTIAL & POWER GRAPHS Eponentil & Power Grphs EXPONENTIAL & POWER GRAPHS www.mthletics.com.u Eponentil EXPONENTIAL & Power & Grphs POWER GRAPHS These re grphs which result from equtions tht re not liner or qudrtic. The eponentil

More information

Integration. October 25, 2016

Integration. October 25, 2016 Integrtion October 5, 6 Introduction We hve lerned in previous chpter on how to do the differentition. It is conventionl in mthemtics tht we re supposed to lern bout the integrtion s well. As you my hve

More information

1 The Definite Integral

1 The Definite Integral The Definite Integrl Definition. Let f be function defined on the intervl [, b] where

More information

Integration. September 28, 2017

Integration. September 28, 2017 Integrtion September 8, 7 Introduction We hve lerned in previous chpter on how to do the differentition. It is conventionl in mthemtics tht we re supposed to lern bout the integrtion s well. As you my

More information

Chapter Spline Method of Interpolation More Examples Electrical Engineering

Chapter Spline Method of Interpolation More Examples Electrical Engineering Chpter. Spline Method of Interpoltion More Exmples Electricl Engineering Exmple Thermistors re used to mesure the temperture of bodies. Thermistors re bsed on mterils chnge in resistnce with temperture.

More information

6.3 Definite Integrals and Antiderivatives

6.3 Definite Integrals and Antiderivatives Section 6. Definite Integrls nd Antiderivtives 8 6. Definite Integrls nd Antiderivtives Wht ou will lern out... Properties of Definite Integrls Averge Vlue of Function Men Vlue Theorem for Definite Integrls

More information

Fig.1. Let a source of monochromatic light be incident on a slit of finite width a, as shown in Fig. 1.

Fig.1. Let a source of monochromatic light be incident on a slit of finite width a, as shown in Fig. 1. Answer on Question #5692, Physics, Optics Stte slient fetures of single slit Frunhofer diffrction pttern. The slit is verticl nd illuminted by point source. Also, obtin n expression for intensity distribution

More information

The Reciprocal Function Family. Objectives To graph reciprocal functions To graph translations of reciprocal functions

The Reciprocal Function Family. Objectives To graph reciprocal functions To graph translations of reciprocal functions - The Reciprocl Function Fmil Objectives To grph reciprocl functions To grph trnsltions of reciprocl functions Content Stndrds F.BF.3 Identif the effect on the grph of replcing f () b f() k, kf(), f(k),

More information

The Basic Properties of the Integral

The Basic Properties of the Integral The Bsic Properties of the Integrl When we compute the derivtive of complicted function, like + sin, we usull use differentition rules, like d [f()+g()] d f()+ d g(), to reduce the computtion d d d to

More information

MATH 2530: WORKSHEET 7. x 2 y dz dy dx =

MATH 2530: WORKSHEET 7. x 2 y dz dy dx = MATH 253: WORKSHT 7 () Wrm-up: () Review: polr coordintes, integrls involving polr coordintes, triple Riemnn sums, triple integrls, the pplictions of triple integrls (especilly to volume), nd cylindricl

More information

1. SEQUENCES INVOLVING EXPONENTIAL GROWTH (GEOMETRIC SEQUENCES)

1. SEQUENCES INVOLVING EXPONENTIAL GROWTH (GEOMETRIC SEQUENCES) Numbers nd Opertions, Algebr, nd Functions 45. SEQUENCES INVOLVING EXPONENTIAL GROWTH (GEOMETRIC SEQUENCES) In sequence of terms involving eponentil growth, which the testing service lso clls geometric

More information

Pointwise convergence need not behave well with respect to standard properties such as continuity.

Pointwise convergence need not behave well with respect to standard properties such as continuity. Chpter 3 Uniform Convergence Lecture 9 Sequences of functions re of gret importnce in mny res of pure nd pplied mthemtics, nd their properties cn often be studied in the context of metric spces, s in Exmples

More information

LIMITS AND CONTINUITY

LIMITS AND CONTINUITY LIMITS AND CONTINUITY Joe McBride/Stone/Gett Imges Air resistnce prevents the velocit of skdiver from incresing indefinitel. The velocit pproches it, clled the terminl velocit. The development of clculus

More information

9 Graph Cutting Procedures

9 Graph Cutting Procedures 9 Grph Cutting Procedures Lst clss we begn looking t how to embed rbitrry metrics into distributions of trees, nd proved the following theorem due to Brtl (1996): Theorem 9.1 (Brtl (1996)) Given metric

More information

Hyperbolas. Definition of Hyperbola

Hyperbolas. Definition of Hyperbola CHAT Pre-Clculus Hyperols The third type of conic is clled hyperol. For n ellipse, the sum of the distnces from the foci nd point on the ellipse is fixed numer. For hyperol, the difference of the distnces

More information

8.2 Areas in the Plane

8.2 Areas in the Plane 39 Chpter 8 Applictions of Definite Integrls 8. Ares in the Plne Wht ou will lern out... Are Between Curves Are Enclosed Intersecting Curves Boundries with Chnging Functions Integrting with Respect to

More information

MATH 25 CLASS 5 NOTES, SEP

MATH 25 CLASS 5 NOTES, SEP MATH 25 CLASS 5 NOTES, SEP 30 2011 Contents 1. A brief diversion: reltively prime numbers 1 2. Lest common multiples 3 3. Finding ll solutions to x + by = c 4 Quick links to definitions/theorems Euclid

More information

3.5.1 Single slit diffraction

3.5.1 Single slit diffraction 3.5.1 Single slit diffrction Wves pssing through single slit will lso diffrct nd produce n interference pttern. The reson for this is to do with the finite width of the slit. We will consider this lter.

More information

x )Scales are the reciprocal of each other. e

x )Scales are the reciprocal of each other. e 9. Reciprocls A Complete Slide Rule Mnul - eville W Young Chpter 9 Further Applictions of the LL scles The LL (e x ) scles nd the corresponding LL 0 (e -x or Exmple : 0.244 4.. Set the hir line over 4.

More information

1.5 Extrema and the Mean Value Theorem

1.5 Extrema and the Mean Value Theorem .5 Extrem nd the Men Vlue Theorem.5. Mximum nd Minimum Vlues Definition.5. (Glol Mximum). Let f : D! R e function with domin D. Then f hs n glol mximum vlue t point c, iff(c) f(x) for ll x D. The vlue

More information

P(r)dr = probability of generating a random number in the interval dr near r. For this probability idea to make sense we must have

P(r)dr = probability of generating a random number in the interval dr near r. For this probability idea to make sense we must have Rndom Numers nd Monte Crlo Methods Rndom Numer Methods The integrtion methods discussed so fr ll re sed upon mking polynomil pproximtions to the integrnd. Another clss of numericl methods relies upon using

More information

Dynamic Programming. Andreas Klappenecker. [partially based on slides by Prof. Welch] Monday, September 24, 2012

Dynamic Programming. Andreas Klappenecker. [partially based on slides by Prof. Welch] Monday, September 24, 2012 Dynmic Progrmming Andres Klppenecker [prtilly bsed on slides by Prof. Welch] 1 Dynmic Progrmming Optiml substructure An optiml solution to the problem contins within it optiml solutions to subproblems.

More information

If f(x, y) is a surface that lies above r(t), we can think about the area between the surface and the curve.

If f(x, y) is a surface that lies above r(t), we can think about the area between the surface and the curve. Line Integrls The ide of line integrl is very similr to tht of single integrls. If the function f(x) is bove the x-xis on the intervl [, b], then the integrl of f(x) over [, b] is the re under f over the

More information

6.2 Volumes of Revolution: The Disk Method

6.2 Volumes of Revolution: The Disk Method mth ppliction: volumes by disks: volume prt ii 6 6 Volumes of Revolution: The Disk Method One of the simplest pplictions of integrtion (Theorem 6) nd the ccumultion process is to determine so-clled volumes

More information

Iterated Integrals. f (x; y) dy dx. p(x) To evaluate a type I integral, we rst evaluate the inner integral Z q(x) f (x; y) dy.

Iterated Integrals. f (x; y) dy dx. p(x) To evaluate a type I integral, we rst evaluate the inner integral Z q(x) f (x; y) dy. Iterted Integrls Type I Integrls In this section, we begin the study of integrls over regions in the plne. To do so, however, requires tht we exmine the importnt ide of iterted integrls, in which inde

More information

3.5.1 Single slit diffraction

3.5.1 Single slit diffraction 3..1 Single slit diffrction ves pssing through single slit will lso diffrct nd produce n interference pttern. The reson for this is to do with the finite width of the slit. e will consider this lter. Tke

More information

Math 35 Review Sheet, Spring 2014

Math 35 Review Sheet, Spring 2014 Mth 35 Review heet, pring 2014 For the finl exm, do ny 12 of the 15 questions in 3 hours. They re worth 8 points ech, mking 96, with 4 more points for netness! Put ll your work nd nswers in the provided

More information

Before We Begin. Introduction to Spatial Domain Filtering. Introduction to Digital Image Processing. Overview (1): Administrative Details (1):

Before We Begin. Introduction to Spatial Domain Filtering. Introduction to Digital Image Processing. Overview (1): Administrative Details (1): Overview (): Before We Begin Administrtive detils Review some questions to consider Winter 2006 Imge Enhncement in the Sptil Domin: Bsics of Sptil Filtering, Smoothing Sptil Filters, Order Sttistics Filters

More information

Introduction Transformation formulae Polar graphs Standard curves Polar equations Test GRAPHS INU0114/514 (MATHS 1)

Introduction Transformation formulae Polar graphs Standard curves Polar equations Test GRAPHS INU0114/514 (MATHS 1) POLAR EQUATIONS AND GRAPHS GEOMETRY INU4/54 (MATHS ) Dr Adrin Jnnett MIMA CMth FRAS Polr equtions nd grphs / 6 Adrin Jnnett Objectives The purpose of this presenttion is to cover the following topics:

More information

Representation of Numbers. Number Representation. Representation of Numbers. 32-bit Unsigned Integers 3/24/2014. Fixed point Integer Representation

Representation of Numbers. Number Representation. Representation of Numbers. 32-bit Unsigned Integers 3/24/2014. Fixed point Integer Representation Representtion of Numbers Number Representtion Computer represent ll numbers, other thn integers nd some frctions with imprecision. Numbers re stored in some pproximtion which cn be represented by fixed

More information

Matlab s Numerical Integration Commands

Matlab s Numerical Integration Commands Mtlb s Numericl Integrtion Commnds The relevnt commnds we consider re qud nd dblqud, triplequd. See the Mtlb help files for other integrtion commnds. By the wy, qud refers to dptive qudrture. To integrte:

More information

MA1008. Calculus and Linear Algebra for Engineers. Course Notes for Section B. Stephen Wills. Department of Mathematics. University College Cork

MA1008. Calculus and Linear Algebra for Engineers. Course Notes for Section B. Stephen Wills. Department of Mathematics. University College Cork MA1008 Clculus nd Liner Algebr for Engineers Course Notes for Section B Stephen Wills Deprtment of Mthemtics University College Cork s.wills@ucc.ie http://euclid.ucc.ie/pges/stff/wills/teching/m1008/ma1008.html

More information

6.3 Volumes. Just as area is always positive, so is volume and our attitudes towards finding it.

6.3 Volumes. Just as area is always positive, so is volume and our attitudes towards finding it. 6.3 Volumes Just s re is lwys positive, so is volume nd our ttitudes towrds finding it. Let s review how to find the volume of regulr geometric prism, tht is, 3-dimensionl oject with two regulr fces seprted

More information

F. R. K. Chung y. University ofpennsylvania. Philadelphia, Pennsylvania R. L. Graham. AT&T Labs - Research. March 2,1997.

F. R. K. Chung y. University ofpennsylvania. Philadelphia, Pennsylvania R. L. Graham. AT&T Labs - Research. March 2,1997. Forced convex n-gons in the plne F. R. K. Chung y University ofpennsylvni Phildelphi, Pennsylvni 19104 R. L. Grhm AT&T Ls - Reserch Murry Hill, New Jersey 07974 Mrch 2,1997 Astrct In seminl pper from 1935,

More information

Math 142, Exam 1 Information.

Math 142, Exam 1 Information. Mth 14, Exm 1 Informtion. 9/14/10, LC 41, 9:30-10:45. Exm 1 will be bsed on: Sections 7.1-7.5. The corresponding ssigned homework problems (see http://www.mth.sc.edu/ boyln/sccourses/14f10/14.html) At

More information

such that the S i cover S, or equivalently S

such that the S i cover S, or equivalently S MATH 55 Triple Integrls Fll 16 1. Definition Given solid in spce, prtition of consists of finite set of solis = { 1,, n } such tht the i cover, or equivlently n i. Furthermore, for ech i, intersects i

More information

Applications of the Definite Integral ( Areas and Volumes)

Applications of the Definite Integral ( Areas and Volumes) Mth1242 Project II Nme: Applictions of the Definite Integrl ( Ares nd Volumes) In this project, we explore some pplictions of the definite integrl. We use integrls to find the re etween the grphs of two

More information

1.1 Lines AP Calculus

1.1 Lines AP Calculus . Lines AP Clculus. LINES Notecrds from Section.: Rules for Rounding Round or Truncte ll finl nswers to 3 deciml plces. Do NOT round before ou rech our finl nswer. Much of Clculus focuses on the concept

More information

MA 124 (Calculus II) Lecture 2: January 24, 2019 Section A3. Professor Jennifer Balakrishnan,

MA 124 (Calculus II) Lecture 2: January 24, 2019 Section A3. Professor Jennifer Balakrishnan, Wht is on tody Professor Jennifer Blkrishnn, jbl@bu.edu 1 Velocity nd net chnge 1 2 Regions between curves 3 1 Velocity nd net chnge Briggs-Cochrn-Gillett 6.1 pp. 398-46 Suppose you re driving long stright

More information

CS311H: Discrete Mathematics. Graph Theory IV. A Non-planar Graph. Regions of a Planar Graph. Euler s Formula. Instructor: Işıl Dillig

CS311H: Discrete Mathematics. Graph Theory IV. A Non-planar Graph. Regions of a Planar Graph. Euler s Formula. Instructor: Işıl Dillig CS311H: Discrete Mthemtics Grph Theory IV Instructor: Işıl Dillig Instructor: Işıl Dillig, CS311H: Discrete Mthemtics Grph Theory IV 1/25 A Non-plnr Grph Regions of Plnr Grph The plnr representtion of

More information

Area & Volume. Chapter 6.1 & 6.2 September 25, y = 1! x 2. Back to Area:

Area & Volume. Chapter 6.1 & 6.2 September 25, y = 1! x 2. Back to Area: Bck to Are: Are & Volume Chpter 6. & 6. Septemer 5, 6 We cn clculte the re etween the x-xis nd continuous function f on the intervl [,] using the definite integrl:! f x = lim$ f x * i )%x n i= Where fx

More information

4452 Mathematical Modeling Lecture 4: Lagrange Multipliers

4452 Mathematical Modeling Lecture 4: Lagrange Multipliers Mth Modeling Lecture 4: Lgrnge Multipliers Pge 4452 Mthemticl Modeling Lecture 4: Lgrnge Multipliers Lgrnge multipliers re high powered mthemticl technique to find the mximum nd minimum of multidimensionl

More information

Chapter 2. 3/28/2004 H133 Spring

Chapter 2. 3/28/2004 H133 Spring Chpter 2 Newton believe tht light ws me up of smll prticles. This point ws ebte by scientists for mny yers n it ws not until the 1800 s when series of experiments emonstrte wve nture of light. (But be

More information

International Journal of Scientific & Engineering Research, Volume 4, Issue 12, December ISSN

International Journal of Scientific & Engineering Research, Volume 4, Issue 12, December ISSN Interntionl Journl of Scientific & Engineering Reserch, Volume 4, Issue 1, December-1 ISSN 9-18 Generlised Gussin Qudrture over Sphere K. T. Shivrm Abstrct This pper presents Generlised Gussin qudrture

More information

12-B FRACTIONS AND DECIMALS

12-B FRACTIONS AND DECIMALS -B Frctions nd Decimls. () If ll four integers were negtive, their product would be positive, nd so could not equl one of them. If ll four integers were positive, their product would be much greter thn

More information

In this chapter, we define limits of functions and describe some of their properties.

In this chapter, we define limits of functions and describe some of their properties. Chapter 2 Limits of Functions In this chapter, we define its of functions and describe some of their properties. 2.. Limits We begin with the ϵ-δ definition of the it of a function. Definition 2.. Let

More information

Chapter 2 Sensitivity Analysis: Differential Calculus of Models

Chapter 2 Sensitivity Analysis: Differential Calculus of Models Chpter 2 Sensitivity Anlysis: Differentil Clculus of Models Abstrct Models in remote sensing nd in science nd engineering, in generl re, essentilly, functions of discrete model input prmeters, nd/or functionls

More information

Lesson 11 MA Nick Egbert

Lesson 11 MA Nick Egbert Lesson MA 62 Nick Eert Overview In this lesson we return to stndrd Clculus II mteril with res etween curves. Recll rom irst semester clculus tht the deinite interl hd eometric menin, nmel the re under

More information

Tries. Yufei Tao KAIST. April 9, Y. Tao, April 9, 2013 Tries

Tries. Yufei Tao KAIST. April 9, Y. Tao, April 9, 2013 Tries Tries Yufei To KAIST April 9, 2013 Y. To, April 9, 2013 Tries In this lecture, we will discuss the following exct mtching prolem on strings. Prolem Let S e set of strings, ech of which hs unique integer

More information

ZZ - Advanced Math Review 2017

ZZ - Advanced Math Review 2017 ZZ - Advnced Mth Review Mtrix Multipliction Given! nd! find the sum of the elements of the product BA First, rewrite the mtrices in the correct order to multiply The product is BA hs order x since B is

More information

This notebook investigates the properties of non-integer differential operators using Fourier analysis.

This notebook investigates the properties of non-integer differential operators using Fourier analysis. Frctionl erivtives.nb Frctionl erivtives by Fourier ecomposition by Eric Thrne 4/9/6 This notebook investigtes the properties of non-integer differentil opertors using Fourier nlysis. In[]:=

More information

Math 464 Fall 2012 Notes on Marginal and Conditional Densities October 18, 2012

Math 464 Fall 2012 Notes on Marginal and Conditional Densities October 18, 2012 Mth 464 Fll 2012 Notes on Mrginl nd Conditionl Densities klin@mth.rizon.edu October 18, 2012 Mrginl densities. Suppose you hve 3 continuous rndom vribles X, Y, nd Z, with joint density f(x,y,z. The mrginl

More information

A Transportation Problem Analysed by a New Ranking Method

A Transportation Problem Analysed by a New Ranking Method (IJIRSE) Interntionl Journl of Innovtive Reserch in Science & Engineering ISSN (Online) 7-07 A Trnsporttion Problem Anlysed by New Rnking Method Dr. A. Shy Sudh P. Chinthiy Associte Professor PG Scholr

More information

Topics in Analytic Geometry

Topics in Analytic Geometry Nme Chpter 10 Topics in Anltic Geometr Section 10.1 Lines Objective: In this lesson ou lerned how to find the inclintion of line, the ngle between two lines, nd the distnce between point nd line. Importnt

More information

Pythagoras theorem and trigonometry (2)

Pythagoras theorem and trigonometry (2) HPTR 10 Pythgors theorem nd trigonometry (2) 31 HPTR Liner equtions In hpter 19, Pythgors theorem nd trigonometry were used to find the lengths of sides nd the sizes of ngles in right-ngled tringles. These

More information

On the Detection of Step Edges in Algorithms Based on Gradient Vector Analysis

On the Detection of Step Edges in Algorithms Based on Gradient Vector Analysis On the Detection of Step Edges in Algorithms Bsed on Grdient Vector Anlysis A. Lrr6, E. Montseny Computer Engineering Dept. Universitt Rovir i Virgili Crreter de Slou sin 43006 Trrgon, Spin Emil: lrre@etse.urv.es

More information

CS 130 : Computer Systems - II. Shankar Balachandran Dept. of Computer Science & Engineering IIT Madras

CS 130 : Computer Systems - II. Shankar Balachandran Dept. of Computer Science & Engineering IIT Madras CS 3 : Computer Systems - II Shnkr Blchndrn (shnkr@cse.iitm.c.in) Dept. of Computer Science & Engineering IIT Mdrs Recp Differentite Between s nd s Truth Tbles b AND b OR NOT September 4, 27 Introduction

More information

Companion Mathematica Notebook for "What is The 'Equal Weight View'?"

Companion Mathematica Notebook for What is The 'Equal Weight View'? Compnion Mthemtic Notebook for "Wht is The 'Equl Weight View'?" Dvid Jehle & Brnden Fitelson July 9 The methods used in this notebook re specil cses of more generl decision procedure

More information

Essential Question What are some of the characteristics of the graph of a rational function?

Essential Question What are some of the characteristics of the graph of a rational function? 8. TEXAS ESSENTIAL KNOWLEDGE AND SKILLS A..A A..G A..H A..K Grphing Rtionl Functions Essentil Question Wht re some of the chrcteristics of the grph of rtionl function? The prent function for rtionl functions

More information

Name Date Class. cot. tan. cos. 1 cot 2 csc 2

Name Date Class. cot. tan. cos. 1 cot 2 csc 2 Fundmentl Trigonometric Identities To prove trigonometric identit, use the fundmentl identities to mke one side of the eqution resemle the other side. Reciprocl nd Rtio Identities csc sec sin cos Negtive-Angle

More information

MTH 146 Conics Supplement

MTH 146 Conics Supplement 105- Review of Conics MTH 146 Conics Supplement In this section we review conics If ou ne more detils thn re present in the notes, r through section 105 of the ook Definition: A prol is the set of points

More information

Double Integrals. MATH 375 Numerical Analysis. J. Robert Buchanan. Fall Department of Mathematics. J. Robert Buchanan Double Integrals

Double Integrals. MATH 375 Numerical Analysis. J. Robert Buchanan. Fall Department of Mathematics. J. Robert Buchanan Double Integrals Double Integrls MATH 375 Numericl Anlysis J. Robert Buchnn Deprtment of Mthemtics Fll 2013 J. Robert Buchnn Double Integrls Objectives Now tht we hve discussed severl methods for pproximting definite integrls

More information

Section 3.1: Sequences and Series

Section 3.1: Sequences and Series Section.: Sequences d Series Sequences Let s strt out with the definition of sequence: sequence: ordered list of numbers, often with definite pttern Recll tht in set, order doesn t mtter so this is one

More information

this grammar generates the following language: Because this symbol will also be used in a later step, it receives the

this grammar generates the following language: Because this symbol will also be used in a later step, it receives the LR() nlysis Drwcks of LR(). Look-hed symols s eplined efore, concerning LR(), it is possile to consult the net set to determine, in the reduction sttes, for which symols it would e possile to perform reductions.

More information

10.5 Graphing Quadratic Functions

10.5 Graphing Quadratic Functions 0.5 Grphing Qudrtic Functions Now tht we cn solve qudrtic equtions, we wnt to lern how to grph the function ssocited with the qudrtic eqution. We cll this the qudrtic function. Grphs of Qudrtic Functions

More information

Parallel Square and Cube Computations

Parallel Square and Cube Computations Prllel Squre nd Cube Computtions Albert A. Liddicot nd Michel J. Flynn Computer Systems Lbortory, Deprtment of Electricl Engineering Stnford University Gtes Building 5 Serr Mll, Stnford, CA 945, USA liddicot@stnford.edu

More information

Misrepresentation of Preferences

Misrepresentation of Preferences Misrepresenttion of Preferences Gicomo Bonnno Deprtment of Economics, University of Cliforni, Dvis, USA gfbonnno@ucdvis.edu Socil choice functions Arrow s theorem sys tht it is not possible to extrct from

More information

Angle properties of lines and polygons

Angle properties of lines and polygons chievement Stndrd 91031 pply geometric resoning in solving problems Copy correctly Up to 3% of workbook Copying or scnning from ES workbooks is subject to the NZ Copyright ct which limits copying to 3%

More information

HW Stereotactic Targeting

HW Stereotactic Targeting HW Stereotctic Trgeting We re bout to perform stereotctic rdiosurgery with the Gmm Knife under CT guidnce. We instrument the ptient with bse ring nd for CT scnning we ttch fiducil cge (FC). Above: bse

More information

Physics 208: Electricity and Magnetism Exam 1, Secs Feb IMPORTANT. Read these directions carefully:

Physics 208: Electricity and Magnetism Exam 1, Secs Feb IMPORTANT. Read these directions carefully: Physics 208: Electricity nd Mgnetism Exm 1, Secs. 506 510 11 Feb. 2004 Instructor: Dr. George R. Welch, 415 Engineering-Physics, 845-7737 Print your nme netly: Lst nme: First nme: Sign your nme: Plese

More information

CSCI1950 Z Computa4onal Methods for Biology Lecture 2. Ben Raphael January 26, hhp://cs.brown.edu/courses/csci1950 z/ Outline

CSCI1950 Z Computa4onal Methods for Biology Lecture 2. Ben Raphael January 26, hhp://cs.brown.edu/courses/csci1950 z/ Outline CSCI1950 Z Comput4onl Methods for Biology Lecture 2 Ben Rphel Jnury 26, 2009 hhp://cs.brown.edu/courses/csci1950 z/ Outline Review of trees. Coun4ng fetures. Chrcter bsed phylogeny Mximum prsimony Mximum

More information

called the vertex. The line through the focus perpendicular to the directrix is called the axis of the parabola.

called the vertex. The line through the focus perpendicular to the directrix is called the axis of the parabola. Review of conic sections Conic sections re grphs of the form REVIEW OF CONIC SECTIONS prols ellipses hperols P(, ) F(, p) O p =_p REVIEW OF CONIC SECTIONS In this section we give geometric definitions

More information

EECS 281: Homework #4 Due: Thursday, October 7, 2004

EECS 281: Homework #4 Due: Thursday, October 7, 2004 EECS 28: Homework #4 Due: Thursdy, October 7, 24 Nme: Emil:. Convert the 24-bit number x44243 to mime bse64: QUJD First, set is to brek 8-bit blocks into 6-bit blocks, nd then convert: x44243 b b 6 2 9

More information

f[a] x + f[a + x] x + f[a +2 x] x + + f[b x] x

f[a] x + f[a + x] x + f[a +2 x] x + + f[b x] x Bsic Integrtion This chpter contins the fundmentl theory of integrtion. We begin with some problems to motivte the min ide: pproximtion by sum of slices. The chpter confronts this squrely, nd Chpter 3

More information

Union-Find Problem. Using Arrays And Chains. A Set As A Tree. Result Of A Find Operation

Union-Find Problem. Using Arrays And Chains. A Set As A Tree. Result Of A Find Operation Union-Find Problem Given set {,,, n} of n elements. Initilly ech element is in different set. ƒ {}, {},, {n} An intermixed sequence of union nd find opertions is performed. A union opertion combines two

More information

Introduction. Chapter 4: Complex Integration. Introduction (Cont d)

Introduction. Chapter 4: Complex Integration. Introduction (Cont d) Introduction Chpter 4: Complex Integrtion Li, Yongzho Stte Key Lbortory of Integrted Services Networks, Xidin University October 10, 2010 The two-dimensionl nture of the complex plne required us to generlize

More information

LECT-10, S-1 FP2P08, Javed I.

LECT-10, S-1 FP2P08, Javed I. A Course on Foundtions of Peer-to-Peer Systems & Applictions LECT-10, S-1 CS /799 Foundtion of Peer-to-Peer Applictions & Systems Kent Stte University Dept. of Computer Science www.cs.kent.edu/~jved/clss-p2p08

More information

Study Guide for Exam 3

Study Guide for Exam 3 Mth 05 Elementry Algebr Fll 00 Study Guide for Em Em is scheduled for Thursdy, November 8 th nd ill cover chpters 5 nd. You my use "5" note crd (both sides) nd scientific clcultor. You re epected to no

More information

A TRIANGULAR FINITE ELEMENT FOR PLANE ELASTICITY WITH IN- PLANE ROTATION Dr. Attia Mousa 1 and Eng. Salah M. Tayeh 2

A TRIANGULAR FINITE ELEMENT FOR PLANE ELASTICITY WITH IN- PLANE ROTATION Dr. Attia Mousa 1 and Eng. Salah M. Tayeh 2 A TRIANGLAR FINITE ELEMENT FOR PLANE ELASTICITY WITH IN- PLANE ROTATION Dr. Atti Mous nd Eng. Slh M. Teh ABSTRACT In the present pper the strin-bsed pproch is pplied to develop new tringulr finite element

More information

10/9/2012. Operator is an operation performed over data at runtime. Arithmetic, Logical, Comparison, Assignment, Etc. Operators have precedence

10/9/2012. Operator is an operation performed over data at runtime. Arithmetic, Logical, Comparison, Assignment, Etc. Operators have precedence /9/22 P f Performing i Si Simple l Clcultions C l l ti with ith C#. Opertors in C# nd Opertor Precedence 2. Arithmetic Opertors 3. Logicl Opertors 4. Bitwise Opertors 5. Comprison Opertors 6. Assignment

More information

Section 10.4 Hyperbolas

Section 10.4 Hyperbolas 66 Section 10.4 Hyperbols Objective : Definition of hyperbol & hyperbols centered t (0, 0). The third type of conic we will study is the hyperbol. It is defined in the sme mnner tht we defined the prbol

More information

SAMPLE PREREQUISITE PROBLEMS: CALCULUS

SAMPLE PREREQUISITE PROBLEMS: CALCULUS SAMPLE PREREQUISITE PROBLEMS: CALCULUS Te following questions rise from ctul AP Clculus AB em questions; I went troug lots of questions, nd pulled out prts requiring lgebr nd trigonometr Tese problems

More information

Lily Yen and Mogens Hansen

Lily Yen and Mogens Hansen SKOLID / SKOLID No. 8 Lily Yen nd Mogens Hnsen Skolid hs joined Mthemticl Myhem which is eing reformtted s stnd-lone mthemtics journl for high school students. Solutions to prolems tht ppered in the lst

More information

Supplemental Notes: Line Integrals

Supplemental Notes: Line Integrals Nottion: Supplementl Notes: Line Integrls Let be n oriented curve prmeterized by r(t) = x(t), y(t), z(t) where t b. denotes the curve with its orienttion reversed. 1 + 2 mens tke curve 1 nd curve 2 nd

More information

9.1 apply the distance and midpoint formulas

9.1 apply the distance and midpoint formulas 9.1 pply the distnce nd midpoint formuls DISTANCE FORMULA MIDPOINT FORMULA To find the midpoint between two points x, y nd x y 1 1,, we Exmple 1: Find the distnce between the two points. Then, find the

More information

Lecture 5: Spatial Analysis Algorithms

Lecture 5: Spatial Analysis Algorithms Lecture 5: Sptil Algorithms GEOG 49: Advnced GIS Sptil Anlsis Algorithms Bsis of much of GIS nlsis tod Mnipultion of mp coordintes Bsed on Eucliden coordinte geometr http://stronom.swin.edu.u/~pbourke/geometr/

More information

OPTICS. (b) 3 3. (d) (c) , A small piece

OPTICS. (b) 3 3. (d) (c) , A small piece AQB-07-P-106 641. If the refrctive indices of crown glss for red, yellow nd violet colours re 1.5140, 1.5170 nd 1.518 respectively nd for flint glss re 1.644, 1.6499 nd 1.685 respectively, then the dispersive

More information

Section 5.3 : Finding Area Between Curves

Section 5.3 : Finding Area Between Curves MATH 9 Section 5. : Finding Are Between Curves Importnt: In this section we will lern just how to set up the integrls to find re etween curves. The finl nswer for ech emple in this hndout is given for

More information

If you are at the university, either physically or via the VPN, you can download the chapters of this book as PDFs.

If you are at the university, either physically or via the VPN, you can download the chapters of this book as PDFs. Lecture 5 Wlks, Trils, Pths nd Connectedness Reding: Some of the mteril in this lecture comes from Section 1.2 of Dieter Jungnickel (2008), Grphs, Networks nd Algorithms, 3rd edition, which is ville online

More information

L2-Python-Data-Structures

L2-Python-Data-Structures L2-Python-Dt-Structures Mrch 19, 2018 1 Principl built-in types in Python (Python ) numerics: int, flot, long, complex sequences: str, unicode, list, tuple, byterry, buffer, xrnge mppings: dict files:

More information

COMMON FRACTIONS. or a / b = a b. , a is called the numerator, and b is called the denominator.

COMMON FRACTIONS. or a / b = a b. , a is called the numerator, and b is called the denominator. COMMON FRACTIONS BASIC DEFINITIONS * A frtion is n inite ivision. or / * In the frtion is lle the numertor n is lle the enomintor. * The whole is seprte into "" equl prts n we re onsiering "" of those

More information