MATH 181-Exponents and Radicals ( 8 )
|
|
- Irma Preston
- 7 years ago
- Views:
Transcription
1 Mth 8 S. Numkr MATH 8-Epots d Rdicls ( 8 ) Itgrl Epots & Frctiol Epots Epotil Fuctios Epotil Fuctios d Grphs I. Epotil Fuctios Th fuctio f ( ), whr is rl umr, 0, d, is clld th potil fuctio, s. Rquirig th s to positiv would hlp to void th compl umrs tht would occur y tkig v roots of gtiv umrs. (E., ( ), which is ot rl umr.) Th rstrictio is md to clud th costt fuctio f ( ). Empl: f ( ), f ( ) ( ), 6 f ( ) (. 7) *Th vril i potil fuctio is i th pot. II. Grphig potil fuctio A. Plottig poits B. Grphig clcultor * Try f ( ) ( )
2 Mth 8 S. Numkr III. Applictio i Empl: Compoud Itrst Formul, A P( ) r for compoudig pr yr: or A P( ) for cotiuous compoudig: A P rt. totl of $,000 is ivstd t ul rt of 9%. Fid th lc ftr yrs if it is compoudd qurtrly: r t. ( ) A P( ), 000( 0 09 ) 8, 76.. totl of $,000 is ivstd t ul rt of 9%. Fid th lc ftr yrs if it is compoudd cotiuously: rt 0. 09( ) A P, 000 8, cotiuous compoudig yilds itrst: =9.6 IV. Th Numr A( ) ( ), s th gts lrgr d lrgr, th fuctio vlu gts closr to. Its dciml rprsttio dos ot trmit or rpt; it is irrtiol. I 7, Lord Eulr md this umr. You c us th ky o grphig clcultor to fid vlus of th potil fuctio f ( ). Empl: Fid 0,., 0, 00. 8, t t
3 Mth 8 S. Numkr Epots I. Evlut potil prssios. A. For y positiv itgr, tims such tht is th s d is th pot Empl: = 7 B. For y ozro rl umr d y itgr, 0 Ad C. I multiplictio prolm, th umrs or prssios tht r multiplid r clld fctors. If c, th d r fctors of c. Empls: ( ) 0 c. ( ) d. =. = D. Proprtis of Epots m m m ( m) such tht 0 ( ) ( ) m m m m m ( ) m m such tht 0 m
4 Mth 8 S. Numkr Empls:. ( ). y y c. y y 6 d. ( ). m m c f. ( ) 6 c = II. Frctiol Epots Dfiitio I.: such tht is clld th id d is th rdicd. m Dfiitio II: ( ) m m * m is itgr, is positiv itgr, d is rl umr. If is v, 0. Empls: 9 6 ( ) ( )( ) ( )( ) ( ) ( ) ( ) ( )( )
5 Mth 8 S. Numkr Simplst Rdicl Form Evlut squr d highr roots A. Rdicl ottio: A umr c is sid to th root of if c. Squr root: if Cu root: if If giv, th symol is clld rdicl, is th id, d is th rdicd. Th positiv root is clld th pricipl root. To dot gtiv root, us, 8, tc. Empls: 6 6, 6 6, ( ) 8, 6 is ot rl umr * Wh is gtiv d is v, is ot rl umr. B. Simplifyig Rdicl Eprssios If d r rl umrs or prssios for which th giv roots ist. m, r turl umrs. Hr r som proprtis of rdicls.. If is v,. ( 0 ). If is odd,. m. ( ) m
6 Mth 8 S. Numkr Empls: Simplify.. 8c d = c. 6 m 6 d. 0m m. 7 9 f. 9 8 = g. 6 h. = 7 i. 8 j. 8 k l. 6 Empls: Simplify.. 8c d = c. 6 m 6 d. 0m m 6
7 Mth 8 S. Numkr Rtioliz th umrtor: y y y ( ) ( y) y y y y C. Rtiol Epots For y rl umr d y turl umrs m d, m/ / m m/ m/ m Empls:Covrt pot prssios to rdicl ottios / / = c / = Empls: Covrt to potil ottio d simplify.. ( 7y) ( 7y) /. 6 c. 7 d. ( ). = f. 7= D. Rltioship tw v d odd roots r s follows: Lt rl umr d positiv itgr grtr th o. I prticulr,. d I grl,. If is v positiv itgr, d. If is odd positiv itgr, 7
8 Mth 8 S. Numkr Empls: Writ ch prssio i simplst rdicl form. Assum ll vrils rprst positiv rl umrs y 0y 6 7 y 6 z 7 y 0 z 6 y 8 y 8
9 Mth 8 S. Numkr Logrithms Logrithmic Fuctios d Grphs I. Logrithm Logrithmic, or logrithm, fuctios r ivrs of potil fuctios d hv my pplictios. Empl: Covrt ch to logrithmic qutio: 6 >log log t 70 log 70 t Empl: Fid ch of th followig logrithms: log, log log 8 log 9 log 6 log 8 8 * log 0 d log, for y logrithmic s 9
10 Mth 8 S. Numkr II. Commo Logrithm d Nturl Logrithm A. Commo logrithms r of s-0. Th rvitio log, with o s writt, is usd to rprst th commo logrithms, or s 0 logrithms. Empl: log 9 ms log 0 9 B. Nturl Logrithms log 00 = log 0 00 Logrithms, s, r clld turl logrithms. Th turl logrithm's rvitio is l. Empl: l ms log III. Chgig Logrithmic Bss log M log log 0 0 M l M l Empl: log log log l 6. 8 log 6 l
11 Mth 8 S. Numkr IV. Proprtis of Logrithms A. y y Empl: 8 B. y y Empl: C. ( ) y y Empl: ( ) 096 D. log y log log y Empl: log log ( 7 9) log 7 log 9 E. log ( ) log log y y 6 Empl: log ( ) log 6 log 8 8 F. log ( ) log G. log 0 Empl: log ( ) log 6 Empl: log 8 0
12 Mth 8 S. Numkr H. log Empl: log 8 8 I. log ( ) Empl: log ( ) J. f ( ) log l, 0 is th turl logrithmic fuctio K. l L. l l M. l 0 N. l( uv) l u l v V. Try ths: A. Eprss ch s sum, diffrc, or multipl of Logrithms. log. log. log 9. log 6. log 6. log log ( ) 8. log 7 y 9. log ( ) 8 0. log 0 y. l 7. log 7
13 Mth 8 S. Numkr B. Eprss ch s th logrithm of sigl qutity. log log c. log 9 log. log log. log log. l ( ) 6. l l y l z
14 Mth 8 S. Numkr Solvig Epotil d Logrithmic Equtios I. To solv potil qutio, first isolt th potil prssio, th tk th logrithm of oth sids d solv for th vril. Empl: Solvig Solvig 7 l l 7 l Solvig 60 l l l. 0 Solvig 0 ( )( ) 0, if l l l. 69 if l l 0 Try solvig: II. To solv logrithmic qutio, rwrit th qutio i potil form (potitig) d solv for th vril. l Empl: Solvig l Solvig l l l l. 607 l Solvig l l. 6 Solvig l l( ) l ( ) *l * l
15 Mth 8 S. Numkr Try solvig: log( ) log( ) l( 00) l log log( ) log log( ) l l8 l l( ) log( ) log
16 Mth 8 S. Numkr III. Applictio Empl: You hv dpositd $00 i ccout tht pys 6.7% itrst, compoudd cotiuously.. How log will it tk your moy to doul?. How log will it tk your moy to tripl? rt. for cotiuous compoudig, A P To fid th tim rquird to doul, A t. 067t l l l. 067t l t To fid th rquird to tripl, A t. 067t l l l. 067t l t. 067 IV. Epotil d Logrithmic Modls I. Th fiv most commo typs of mthmticl modls ivolvig potil fuctios d logrithmic fuctios:. Epotil growth: y, 0. Epotil dcy: y, 0. Gussi modl: y ( ) c t t t This typ of modl is usd i proility d sttistics to rprst popu ltios tht r ormlly distriutd. Th stdrd orml distriutio tks th form y Th grph of Gussi modl is ll-shpd curv.. Logistics growth modl: y ( y = pop. siz, = tim) ( c) d 6
17 Mth 8 S. Numkr Som popultio iitilly hv rpid growth, followd y dcliig rt of growth. This typ of growth pttr is of logistics curv; it is lso clld sigmoidl curv. Empl: ctri cultur.. Logrithmic modl: y l( ), y log ( ) E.: O th Richtr scl, th mgitud of R of rthquk of itsity 0 I: R I log 0 I 0 II. Tk look t th sic shps of ths grphs:. y. y. y. y. y l 6. y log 0 7
Repeated multiplication is represented using exponential notation, for example:
Appedix A: The Lws of Expoets Expoets re short-hd ottio used to represet my fctors multiplied together All of the rules for mipultig expoets my be deduced from the lws of multiplictio d divisio tht you
More informationMATHEMATICS FOR ENGINEERING BASIC ALGEBRA
MATHEMATICS FOR ENGINEERING BASIC ALGEBRA TUTORIAL - INDICES, LOGARITHMS AND FUNCTION This is the oe of series of bsic tutorils i mthemtics imed t begiers or yoe wtig to refresh themselves o fudmetls.
More informationHigher. Exponentials and Logarithms 160
hsn uknt Highr Mthmtics UNIT UTCME Eponntils nd Logrithms Contnts Eponntils nd Logrithms 6 Eponntils 6 Logrithms 6 Lws of Logrithms 6 Eponntils nd Logrithms to th Bs 65 5 Eponntil nd Logrithmic Equtions
More informationMATHEMATICS SYLLABUS SECONDARY 7th YEAR
Europe Schools Office of the Secretry-Geerl Pedgogicl developmet Uit Ref.: 2011-01-D-41-e-2 Orig.: DE MATHEMATICS SYLLABUS SECONDARY 7th YEAR Stdrd level 5 period/week course Approved y the Joit Techig
More informationMath 114- Intermediate Algebra Integral Exponents & Fractional Exponents (10 )
Math 4 Math 4- Itermediate Algebra Itegral Epoets & Fractioal Epoets (0 ) Epoetial Fuctios Epoetial Fuctios ad Graphs I. Epoetial Fuctios The fuctio f ( ) a, where is a real umber, a 0, ad a, is called
More informationPower Means Calculus Product Calculus, Harmonic Mean Calculus, and Quadratic Mean Calculus
Gug Istitut Jourl, Volum 4, No 4, Novmbr 008 H. Vic Do Powr Ms Clculus Product Clculus, Hrmoic M Clculus, d Qudrtic M Clculus H. Vic Do vick@dc.com Mrch, 008 Gug Istitut Jourl, Volum 4, No 4, Novmbr 008
More informationExponential and Logarithmic Functions
Nme Chpter Eponentil nd Logrithmic Functions Section. Eponentil Functions nd Their Grphs Objective: In this lesson ou lerned how to recognize, evlute, nd grph eponentil functions. Importnt Vocbulr Define
More informationInstruction: Solving Exponential Equations without Logarithms. This lecture uses a four-step process to solve exponential equations:
49 Instuction: Solving Eponntil Equtions without Logithms This lctu uss fou-stp pocss to solv ponntil qutions: Isolt th bs. Wit both sids of th qution s ponntil pssions with lik bss. St th ponnts qul to
More informationUnit 6: Exponents and Radicals
Eponents nd Rdicls -: The Rel Numer Sstem Unit : Eponents nd Rdicls Pure Mth 0 Notes Nturl Numers (N): - counting numers. {,,,,, } Whole Numers (W): - counting numers with 0. {0,,,,,, } Integers (I): -
More informationProblem Set 6 Solutions
6.04/18.06J Mathmatics for Computr Scic March 15, 005 Srii Dvadas ad Eric Lhma Problm St 6 Solutios Du: Moday, March 8 at 9 PM Problm 1. Sammy th Shar is a fiacial srvic providr who offrs loas o th followig
More informationSummation Notation The sum of the first n terms of a sequence is represented by the summation notation i the index of summation
Lesso 0.: Sequeces d Summtio Nottio Def. of Sequece A ifiite sequece is fuctio whose domi is the set of positive rel itegers (turl umers). The fuctio vlues or terms of the sequece re represeted y, 2, 3,...,....
More informationHarold s Calculus Notes Cheat Sheet 26 April 2016
Hrol s Clculus Notes Chet Sheet 26 April 206 AP Clculus Limits Defiitio of Limit Let f e fuctio efie o ope itervl cotiig c let L e rel umer. The sttemet: lim x f(x) = L mes tht for ech ε > 0 there exists
More informationBatteries in general: Batteries. Anode/cathode in rechargeable batteries. Rechargeable batteries
Bttris i grl: Bttris How -bsd bttris work A rducig (gtiv) lctrod A oxidizig (positiv) lctrod A - th ioic coductor Rchrgbl bttris Rctios ust b rvrsibl Not too y irrvrsibl sid rctios Aod/cthod i rchrgbl
More informationChapter 04.05 System of Equations
hpter 04.05 System of Equtios After redig th chpter, you should be ble to:. setup simulteous lier equtios i mtrix form d vice-vers,. uderstd the cocept of the iverse of mtrix, 3. kow the differece betwee
More informationm n Use technology to discover the rules for forms such as a a, various integer values of m and n and a fixed integer value a.
TIth.co Alger Expoet Rules ID: 988 Tie required 25 iutes Activity Overview This ctivity llows studets to work idepedetly to discover rules for workig with expoets, such s Multiplictio d Divisio of Like
More informationChapter 3 Chemical Equations and Stoichiometry
Chptr Chmicl Equtions nd Stoichiomtry Homwork (This is VERY importnt chptr) Chptr 27, 29, 1, 9, 5, 7, 9, 55, 57, 65, 71, 75, 77, 81, 87, 91, 95, 99, 101, 111, 117, 121 1 2 Introduction Up until now w hv
More informationTHE EFFECT OF GROUND SETTLEMENTS ON THE AXIAL RESPONSE OF PILES: SOME CLOSED FORM SOLUTIONS CUED/D-SOILS/TR 341 (Aug 2005) By A. Klar and K.
THE EFFECT OF GROUND SETTEMENTS ON THE AXIA RESPONSE OF PIES: SOME COSED FORM SOUTIONS CUED/D-SOIS/TR 4 Aug 5 By A. Klr d K. Sog Klr d Sog "Th Effct of Groud Displcmt o Axil Rspos of Pils: Som Closd Form
More informationA New Approach on Smarandache tn 1 Curves in terms of Spacelike Biharmonic Curves with a Timelike Binormal in the Lorentzian Heisenberg Group Heis 3
Jourl of Vctoril Rltivity JVR 6 (0) 8-5 A Nw Approch o Smrdch t Curvs i trms of Spclik Bihrmoic Curvs with Timlik Biorml i th Lortzi Hisbrg Group His T Körpir d E Turh ABSTRACT: I this ppr, w study spclik
More informationSchedule C. Notice in terms of Rule 5(10) of the Capital Gains Rules, 1993
(Rul 5(10)) Shul C Noti in trms o Rul 5(10) o th Cpitl Gins Ruls, 1993 Sttmnt to sumitt y trnsror o shrs whr thr is trnsr o ontrolling intrst Prt 1 - Dtils o Trnsror Nm Arss ROC No (ompnis only) Inom Tx
More informationSOME IMPORTANT MATHEMATICAL FORMULAE
SOME IMPORTANT MATHEMATICAL FORMULAE Circle : Are = π r ; Circuferece = π r Squre : Are = ; Perieter = 4 Rectgle: Are = y ; Perieter = (+y) Trigle : Are = (bse)(height) ; Perieter = +b+c Are of equilterl
More informationGraphs on Logarithmic and Semilogarithmic Paper
0CH_PHClter_TMSETE_ 3//00 :3 PM Pge Grphs on Logrithmic nd Semilogrithmic Pper OBJECTIVES When ou hve completed this chpter, ou should be ble to: Mke grphs on logrithmic nd semilogrithmic pper. Grph empiricl
More informationApplication: Volume. 6.1 Overture. Cylinders
Applictio: Volume 61 Overture I this chpter we preset other pplictio of the defiite itegrl, this time to fid volumes of certi solids As importt s this prticulr pplictio is, more importt is to recogize
More informationMATH PLACEMENT REVIEW GUIDE
MATH PLACEMENT REVIEW GUIDE This guie is intene s fous for your review efore tking the plement test. The questions presente here my not e on the plement test. Although si skills lultor is provie for your
More informationA. Description: A simple queueing system is shown in Fig. 16-1. Customers arrive randomly at an average rate of
Queueig Theory INTRODUCTION Queueig theory dels with the study of queues (witig lies). Queues boud i rcticl situtios. The erliest use of queueig theory ws i the desig of telehoe system. Alictios of queueig
More informationFundamentals of Tensor Analysis
MCEN 503/ASEN 50 Chptr Fundmntls of Tnsor Anlysis Fll, 006 Fundmntls of Tnsor Anlysis Concpts of Sclr, Vctor, nd Tnsor Sclr α Vctor A physicl quntity tht cn compltly dscrid y rl numr. Exmpl: Tmprtur; Mss;
More informationUses for Binary Trees -- Binary Search Trees
CS122 Algorithms n Dt Struturs MW 11:00 m 12:15 pm, MSEC 101 Instrutor: Xio Qin Ltur 10: Binry Srh Trs n Binry Exprssion Trs Uss or Binry Trs Binry Srh Trs n Us or storing n rtriving inormtion n Insrt,
More informationMA 15800 Lesson 16 Notes Summer 2016 Properties of Logarithms. Remember: A logarithm is an exponent! It behaves like an exponent!
MA 5800 Lesson 6 otes Summer 06 Rememer: A logrithm is n eponent! It ehves like n eponent! In the lst lesson, we discussed four properties of logrithms. ) log 0 ) log ) log log 4) This lesson covers more
More informationSequences and Series
Secto 9. Sequeces d Seres You c thk of sequece s fucto whose dom s the set of postve tegers. f ( ), f (), f (),... f ( ),... Defto of Sequece A fte sequece s fucto whose dom s the set of postve tegers.
More informationTIME VALUE OF MONEY: APPLICATION AND RATIONALITY- AN APPROACH USING DIFFERENTIAL EQUATIONS AND DEFINITE INTEGRALS
MPRA Muich Prsoal RPEc Archiv TIME VALUE OF MONEY: APPLICATION AND RATIONALITY- AN APPROACH USING DIFFERENTIAL EQUATIONS AND DEFINITE INTEGRALS Mahbub Parvz Daffodil Itratioal Uivrsy 6. Dcmbr 26 Oli at
More informationInfinite Sequences and Series
CHAPTER 4 Ifiite Sequeces ad Series 4.1. Sequeces A sequece is a ifiite ordered list of umbers, for example the sequece of odd positive itegers: 1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29...
More informationRatio and Proportion
Rtio nd Proportion Rtio: The onept of rtio ours frequently nd in wide vriety of wys For exmple: A newspper reports tht the rtio of Repulins to Demorts on ertin Congressionl ommittee is 3 to The student/fulty
More informationwww.mathsbox.org.uk e.g. f(x) = x domain x 0 (cannot find the square root of negative values)
www.mthsbo.org.uk CORE SUMMARY NOTES Functions A function is rule which genertes ectl ONE OUTPUT for EVERY INPUT. To be defined full the function hs RULE tells ou how to clculte the output from the input
More informationQuestion 3: How do you find the relative extrema of a function?
ustion 3: How do you find th rlativ trma of a function? Th stratgy for tracking th sign of th drivativ is usful for mor than dtrmining whr a function is incrasing or dcrasing. It is also usful for locating
More informationChapter 5: Inner Product Spaces
Chapter 5: Ier Product Spaces Chapter 5: Ier Product Spaces SECION A Itroductio to Ier Product Spaces By the ed of this sectio you will be able to uderstad what is meat by a ier product space give examples
More informationS. Tanny MAT 344 Spring 1999. be the minimum number of moves required.
S. Tay MAT 344 Sprig 999 Recurrece Relatios Tower of Haoi Let T be the miimum umber of moves required. T 0 = 0, T = 7 Iitial Coditios * T = T + $ T is a sequece (f. o itegers). Solve for T? * is a recurrece,
More informationBasic Quantitative Thinking Skills
Bohle d Austi Text PRELIMINARY DRAFT 1/6/005 Bsic Qutittive Thikig Skills 1.1 Qutittive Thikig i Evirometl Sciece Like it or ot, qutittive thikig forms the bsis of most techicl discussio of evirometl issues.
More informationMATHEMATICS P1 COMMON TEST JUNE 2014 NATIONAL SENIOR CERTIFICATE GRADE 12
Mathematics/P1 1 Jue 014 Commo Test MATHEMATICS P1 COMMON TEST JUNE 014 NATIONAL SENIOR CERTIFICATE GRADE 1 Marks: 15 Time: ½ hours N.B: This questio paper cosists of 7 pages ad 1 iformatio sheet. Please
More informationSolving Logarithms and Exponential Equations
Solvig Logarithms ad Epoetial Equatios Logarithmic Equatios There are two major ideas required whe solvig Logarithmic Equatios. The first is the Defiitio of a Logarithm. You may recall from a earlier topic:
More information1. Find the zeros Find roots. Set function = 0, factor or use quadratic equation if quadratic, graph to find zeros on calculator
AP Clculus Finl Review Sheet When you see the words. This is wht you think of doing. Find the zeros Find roots. Set function =, fctor or use qudrtic eqution if qudrtic, grph to find zeros on clcultor.
More informationExample 2 Find the square root of 0. The only square root of 0 is 0 (since 0 is not positive or negative, so those choices don t exist here).
BEGINNING ALGEBRA Roots ad Radicals (revised summer, 00 Olso) Packet to Supplemet the Curret Textbook - Part Review of Square Roots & Irratioals (This portio ca be ay time before Part ad should mostly
More informationP.3 Polynomials and Factoring. P.3 an 1. Polynomial STUDY TIP. Example 1 Writing Polynomials in Standard Form. What you should learn
33337_0P03.qp 2/27/06 24 9:3 AM Chpter P Pge 24 Prerequisites P.3 Polynomils nd Fctoring Wht you should lern Polynomils An lgeric epression is collection of vriles nd rel numers. The most common type of
More informationDYNAMIC PROGRAMMING APPROACH TO TESTING RESOURCE ALLOCATION PROBLEM FOR MODULAR SOFTWARE
DYAMIC PROGRAMMIG APPROACH TO TESTIG RESOURCE ALLOCATIO PROBLEM FOR MODULAR SOFTWARE P.K. Kpur P.C. Jh A.K. Brdh Astrct Tstg phs of softwr gs wth modul tstg. Durg ths prod moduls r tstd dpdtly to rmov
More informationI. Why is there a time value to money (TVM)?
Itroductio to the Time Value of Moey Lecture Outlie I. Why is there the cocept of time value? II. Sigle cash flows over multiple periods III. Groups of cash flows IV. Warigs o doig time value calculatios
More informationSection 11.3: The Integral Test
Sectio.3: The Itegral Test Most of the series we have looked at have either diverged or have coverged ad we have bee able to fid what they coverge to. I geeral however, the problem is much more difficult
More informationSoving Recurrence Relations
Sovig Recurrece Relatios Part 1. Homogeeous liear 2d degree relatios with costat coefficiets. Cosider the recurrece relatio ( ) T () + at ( 1) + bt ( 2) = 0 This is called a homogeeous liear 2d degree
More informationTime Value of Money. First some technical stuff. HP10B II users
Time Value of Moey Basis for the course Power of compoud iterest $3,600 each year ito a 401(k) pla yields $2,390,000 i 40 years First some techical stuff You will use your fiacial calculator i every sigle
More informationPROBLEMS 05 - ELLIPSE Page 1
PROBLEMS 0 ELLIPSE Pge 1 ( 1 ) The edpoits A d B of AB re o the X d Yis respectivel If AB > 0 > 0 d P divides AB from A i the rtio : the show tht P lies o the ellipse 1 ( ) If the feet of the perpediculrs
More informationCHAPTER 3 THE TIME VALUE OF MONEY
CHAPTER 3 THE TIME VALUE OF MONEY OVERVIEW A dollar i the had today is worth more tha a dollar to be received i the future because, if you had it ow, you could ivest that dollar ad ear iterest. Of all
More informationOur aim is to show that under reasonable assumptions a given 2π-periodic function f can be represented as convergent series
8 Fourier Series Our aim is to show that uder reasoable assumptios a give -periodic fuctio f ca be represeted as coverget series f(x) = a + (a cos x + b si x). (8.) By defiitio, the covergece of the series
More informationSPECIAL PRODUCTS AND FACTORIZATION
MODULE - Specil Products nd Fctoriztion 4 SPECIAL PRODUCTS AND FACTORIZATION In n erlier lesson you hve lernt multipliction of lgebric epressions, prticulrly polynomils. In the study of lgebr, we come
More informationAppendix D: Completing the Square and the Quadratic Formula. In Appendix A, two special cases of expanding brackets were considered:
Appendi D: Completing the Squre nd the Qudrtic Formul Fctoring qudrtic epressions such s: + 6 + 8 ws one of the topics introduced in Appendi C. Fctoring qudrtic epressions is useful skill tht cn help you
More informationChapter 7. V and 10. V (the modified premium reserve using the Full Preliminary Term. V (the modified premium reserves using the Full Preliminary
Chapter 7 1. You are give that Mortality follows the Illustrative Life Table with i 6%. Assume that mortality is uiformly distributed betwee itegral ages. Calculate: a. Calculate 10 V for a whole life
More informationScalar and Vector Quantities. A scalar is a quantity having only magnitude (and possibly phase). LECTURE 2a: VECTOR ANALYSIS Vector Algebra
Sclr nd Vector Quntities : VECTO NLYSIS Vector lgebr sclr is quntit hving onl mgnitude (nd possibl phse). Emples: voltge, current, chrge, energ, temperture vector is quntit hving direction in ddition to
More informationOperations with Polynomials
38 Chpter P Prerequisites P.4 Opertions with Polynomils Wht you should lern: Write polynomils in stndrd form nd identify the leding coefficients nd degrees of polynomils Add nd subtrct polynomils Multiply
More informationReasoning to Solve Equations and Inequalities
Lesson4 Resoning to Solve Equtions nd Inequlities In erlier work in this unit, you modeled situtions with severl vriles nd equtions. For exmple, suppose you were given usiness plns for concert showing
More informationMath 115 Spring 2011 Written Homework 5 Solutions
. Evaluate each series. a) 4 7 0... 55 Math 5 Spring 0 Written Homework 5 Solutions Solution: We note that the associated sequence, 4, 7, 0,..., 55 appears to be an arithmetic sequence. If the sequence
More informationA Note on Sums of Greatest (Least) Prime Factors
It. J. Cotemp. Math. Scieces, Vol. 8, 203, o. 9, 423-432 HIKARI Ltd, www.m-hikari.com A Note o Sums of Greatest (Least Prime Factors Rafael Jakimczuk Divisio Matemática, Uiversidad Nacioal de Luá Bueos
More informationAP STATISTICS SUMMER MATH PACKET
AP STATISTICS SUMMER MATH PACKET This pcket is review of Algebr I, Algebr II, nd bsic probbility/counting. The problems re designed to help you review topics tht re importnt to your success in the clss.
More information3. Greatest Common Divisor - Least Common Multiple
3 Greatest Commo Divisor - Least Commo Multiple Defiitio 31: The greatest commo divisor of two atural umbers a ad b is the largest atural umber c which divides both a ad b We deote the greatest commo gcd
More informationCase Study. Normal and t Distributions. Density Plot. Normal Distributions
Case Study Normal ad t Distributios Bret Halo ad Bret Larget Departmet of Statistics Uiversity of Wiscosi Madiso October 11 13, 2011 Case Study Body temperature varies withi idividuals over time (it ca
More informationSINCLAIR COMMUNITY COLLEGE DAYTON, OHIO DEPARTMENT SYLLABUS FOR COURSE IN MAT 1470 - COLLEGE ALGEBRA (4 SEMESTER HOURS)
SINCLAIR COMMUNITY COLLEGE DAYTON, OHIO DEPARTMENT SYLLABUS FOR COURSE IN MAT 470 - COLLEGE ALGEBRA (4 SEMESTER HOURS). COURSE DESCRIPTION: Polynomil, rdicl, rtionl, exponentil, nd logrithmic functions
More informationPolynomial Functions. Polynomial functions in one variable can be written in expanded form as ( )
Polynomil Functions Polynomil functions in one vrible cn be written in expnded form s n n 1 n 2 2 f x = x + x + x + + x + x+ n n 1 n 2 2 1 0 Exmples of polynomils in expnded form re nd 3 8 7 4 = 5 4 +
More information.04. This means $1000 is multiplied by 1.02 five times, once for each of the remaining sixmonth
Questio 1: What is a ordiary auity? Let s look at a ordiary auity that is certai ad simple. By this, we mea a auity over a fixed term whose paymet period matches the iterest coversio period. Additioally,
More informationLecture 27. Rectangular Metal Waveguides
Lctu 7 Rctgul Mtl Wvguids I this lctu u will l: Rctgul tl wvguids T d TM guidd ds i ctgul tl wvguids C 303 Fll 006 Fh R Cll Uivsit Plll Plt Mtl Wvguids d 1 T Mds: Dispsi lti: ( ) si { 1,, d d d 1 TM Mds:
More informationFactoring Polynomials
Fctoring Polynomils Some definitions (not necessrily ll for secondry school mthemtics): A polynomil is the sum of one or more terms, in which ech term consists of product of constnt nd one or more vribles
More informationAuthorized licensed use limited to: University of Illinois. Downloaded on July 27,2010 at 06:52:39 UTC from IEEE Xplore. Restrictions apply.
Uiversl Dt Compressio d Lier Predictio Meir Feder d Adrew C. Siger y Jury, 998 The reltioship betwee predictio d dt compressio c be exteded to uiversl predictio schemes d uiversl dt compressio. Recet work
More informationPROF. BOYAN KOSTADINOV NEW YORK CITY COLLEGE OF TECHNOLOGY, CUNY
MAT 0630 INTERNET RESOURCES, REVIEW OF CONCEPTS AND COMMON MISTAKES PROF. BOYAN KOSTADINOV NEW YORK CITY COLLEGE OF TECHNOLOGY, CUNY Contents 1. ACT Compss Prctice Tests 1 2. Common Mistkes 2 3. Distributive
More informationOutline. Binary Tree
Outlin Similrity Srh Th Nikolus Augstn Fr Univrsity of Bozn-Bolzno Fulty of Computr Sin DIS 1 Binry Rprsnttion of Tr Binry Brnhs Lowr Boun for th Eit Distn Unit 10 My 17, 2012 Nikolus Augstn (DIS) Similrity
More informationINVESTIGATION OF PARAMETERS OF ACCUMULATOR TRANSMISSION OF SELF- MOVING MACHINE
ENGINEEING FO UL DEVELOENT Jelgv, 28.-29.05.2009. INVESTIGTION OF ETES OF CCUULTO TNSISSION OF SELF- OVING CHINE leksdrs Kirk Lithui Uiversity of griculture, Kus leksdrs.kirk@lzuu.lt.lt bstrct. Uder the
More informationCompetitive Algorithms for an Online Rent or Buy Problem with Variable Demand
Competitive Algorithms for Olie Ret or Buy Prolem with Vrile Demd Roh Kodilm High Techology High School, Licroft, NJ rkodilm@ctemcorg Astrct We cosider geerliztio of the clssicl Ski Retl Prolem motivted
More informationBasic Elements of Arithmetic Sequences and Series
MA40S PRE-CALCULUS UNIT G GEOMETRIC SEQUENCES CLASS NOTES (COMPLETED NO NEED TO COPY NOTES FROM OVERHEAD) Basic Elemets of Arithmetic Sequeces ad Series Objective: To establish basic elemets of arithmetic
More informationCHAPTER-10 WAVEFUNCTIONS, OBSERVABLES and OPERATORS
Lecture Notes PH 4/5 ECE 598 A. L Ros INTRODUCTION TO QUANTUM MECHANICS CHAPTER-0 WAVEFUNCTIONS, OBSERVABLES d OPERATORS 0. Represettios i the sptil d mometum spces 0..A Represettio of the wvefuctio i
More informationApproximating Area under a curve with rectangles. To find the area under a curve we approximate the area using rectangles and then use limits to find
1.8 Approximatig Area uder a curve with rectagles 1.6 To fid the area uder a curve we approximate the area usig rectagles ad the use limits to fid 1.4 the area. Example 1 Suppose we wat to estimate 1.
More informationReading. Minimum Spanning Trees. Outline. A File Sharing Problem. A Kevin Bacon Problem. Spanning Trees. Section 9.6
Rin Stion 9.6 Minimum Spnnin Trs Outlin Minimum Spnnin Trs Prim s Alorithm Kruskl s Alorithm Extr:Distriut Shortst-Pth Alorithms A Fil Shrin Prolm Sy unh o usrs wnt to istriut il monst thmslvs. Btwn h
More informationMATH 150 HOMEWORK 4 SOLUTIONS
MATH 150 HOMEWORK 4 SOLUTIONS Section 1.8 Show tht the product of two of the numbers 65 1000 8 2001 + 3 177, 79 1212 9 2399 + 2 2001, nd 24 4493 5 8192 + 7 1777 is nonnegtive. Is your proof constructive
More informationTraffic Flow Analysis (2)
Traffic Flow Analysis () Statistical Proprtis. Flow rat distributions. Hadway distributions. Spd distributions by Dr. Gang-Ln Chang, Profssor Dirctor of Traffic safty and Oprations Lab. Univrsity of Maryland,
More informationReview: Classification Outline
Data Miig CS 341, Sprig 2007 Decisio Trees Neural etworks Review: Lecture 6: Classificatio issues, regressio, bayesia classificatio Pretice Hall 2 Data Miig Core Techiques Classificatio Clusterig Associatio
More informationWAVEGUIDES (& CAVITY RESONATORS)
CAPTR 3 WAVGUIDS & CAVIT RSONATORS AND DILCTRIC WAVGUIDS OPTICAL FIBRS 導 波 管 & 共 振 腔 與 介 質 導 波 管 光 纖 W t rqu is t irowv rg >4 G? t losss o wv i two-odutor trsissio li du to iprt odutor d loss diltri o
More informationAlgebra Review. How well do you remember your algebra?
Algebr Review How well do you remember your lgebr? 1 The Order of Opertions Wht do we men when we write + 4? If we multiply we get 6 nd dding 4 gives 10. But, if we dd + 4 = 7 first, then multiply by then
More informationPREMIUMS CALCULATION FOR LIFE INSURANCE
ls of the Uiversity of etroşi, Ecoomics, 2(3), 202, 97-204 97 REIUS CLCULTIO FOR LIFE ISURCE RE, RI GÎRBCI * BSTRCT: The pper presets the techiques d the formuls used o itertiol prctice for estblishig
More informationCalculus Cheat Sheet. except we make f ( x ) arbitrarily large and. Relationship between the limit and one-sided limits
Clulus Chet Sheet Limits Deiitios Preise Deiitio : We sy lim L i or every ε > 0 there is δ > 0 suh tht wheever 0 δ L < ε. < < the Workig Deiitio : We sy lim L i we mke ( ) s lose to L s we wt y tkig suiietly
More informationLecture 3 Gaussian Probability Distribution
Lecture 3 Gussin Probbility Distribution Introduction l Gussin probbility distribution is perhps the most used distribution in ll of science. u lso clled bell shped curve or norml distribution l Unlike
More informationThe Handbook of Essential Mathematics
Fo Puic Relese: Distiutio Ulimited The Ai Foce Resech Lotoy The Hdook of Essetil Mthemtics Fomuls, Pocesses, d Tles Plus Applictios i Pesol Fice X Y Y XY Y X X XY X Y X XY Y Compiltio d Epltios: Joh C.
More information4.3. The Integral and Comparison Tests
4.3. THE INTEGRAL AND COMPARISON TESTS 9 4.3. The Itegral ad Compariso Tests 4.3.. The Itegral Test. Suppose f is a cotiuous, positive, decreasig fuctio o [, ), ad let a = f(). The the covergece or divergece
More informationEkkehart Schlicht: Economic Surplus and Derived Demand
Ekkehart Schlicht: Ecoomic Surplus ad Derived Demad Muich Discussio Paper No. 2006-17 Departmet of Ecoomics Uiversity of Muich Volkswirtschaftliche Fakultät Ludwig-Maximilias-Uiversität Müche Olie at http://epub.ub.ui-mueche.de/940/
More informationCalculus Cheat Sheet. except we make f ( x ) arbitrarily large and. Relationship between the limit and one-sided limits
Clulus Chet Sheet Limits Deiitios Preise Deiitio : We sy lim ( ) L i or every e > 0 there is > 0 suh tht wheever 0 L < e. < < the Workig Deiitio : We sy lim L i we mke ( ) s lose to L s we wt y tkig suiietly
More informationDEPARTMENT OF ACTUARIAL STUDIES RESEARCH PAPER SERIES
DEPARTMENT OF ACTUARIAL STUDIES RESEARCH PAPER SERIES The ulti-bioil odel d pplictios by Ti Kyg Reserch Pper No. 005/03 July 005 Divisio of Ecooic d Ficil Studies Mcqurie Uiversity Sydey NSW 09 Austrli
More informationn Using the formula we get a confidence interval of 80±1.64
9.52 The professor of sttistics oticed tht the rks i his course re orlly distributed. He hs lso oticed tht his orig clss verge is 73% with stdrd devitio of 12% o their fil exs. His fteroo clsses verge
More informationwhere: T = number of years of cash flow in investment's life n = the year in which the cash flow X n i = IRR = the internal rate of return
EVALUATING ALTERNATIVE CAPITAL INVESTMENT PROGRAMS By Ke D. Duft, Extesio Ecoomist I the March 98 issue of this publicatio we reviewed the procedure by which a capital ivestmet project was assessed. The
More informationOperation Transform Formulae for the Generalized. Half Canonical Sine Transform
Appl Mhmcl Scnc Vol 7 3 no 33-4 HIKARI L wwwm-hrcom Opron rnorm ormul or h nrl Hl Cnoncl Sn rnorm A S uh # n A V Joh * # ov Vrh Inu o Scnc n Humn Amrv M S In * Shnrll Khnlwl Coll Aol - 444 M S In luh@mlcom
More informationImportant result on the first passage time and its integral functional for a certain diffusion process
Lcturs Mtmátics Volumn 22 (21), págins 5 9 Importnt rsult on th first pssg tim nd its intgrl functionl for crtin diffusion procss Yousf AL-Zlzlh nd Bsl M. AL-Eidh Kuwit Univrsity, Kuwit Abstrct. In this
More informationExample A rectangular box without lid is to be made from a square cardboard of sides 18 cm by cutting equal squares from each corner and then folding
1 Exmple A rectngulr box without lid is to be mde from squre crdbord of sides 18 cm by cutting equl squres from ech corner nd then folding up the sides. 1 Exmple A rectngulr box without lid is to be mde
More informationReleased Assessment Questions, 2015 QUESTIONS
Relesed Assessmet Questios, 15 QUESTIONS Grde 9 Assessmet of Mthemtis Ademi Red the istrutios elow. Alog with this ooklet, mke sure you hve the Aswer Booklet d the Formul Sheet. You my use y spe i this
More informationMATH 083 Final Exam Review
MATH 08 Fial Eam Review Completig the problems i this review will greatly prepare you for the fial eam Calculator use is ot required, but you are permitted to use a calculator durig the fial eam period
More informationExponential Generating Functions
Epotl Grtg Fuctos COS 3 Dscrt Mthmtcs Epotl Grtg Fuctos (,,, ) : squc of rl umbrs Epotl Grtg fucto of ths squc s th powr srs ( )! 3 Ordry Grtg Fuctos (,,, ) : squc of rl umbrs Ordry Grtg Fucto of ths squc
More informationTECHNICAL MATHEMATICS
Ntiol Curriculu Stteet NCS Curriculu Assesset Polic Stteet GRADES 0 CURRICULUM AND ASSESSMENT POLICY STATEMENT CAPS GRADES 0 CAPS DISCLAIMER I view striget tie requireets ecoutered b Deprtet Bsic Eductio
More informationMath 132. Population Growth: the World
Math 132 Population Growth: the World S. R. Lubkin Application If you think growth in Raleigh is a problem, think a little bigger. The population of the world has been growing spectacularly fast in the
More information5.4 Exponential Functions: Differentiation and Integration TOOTLIFTST:
.4 Eponntial Functions: Diffrntiation an Intgration TOOTLIFTST: Eponntial functions ar of th form f ( ) Ab. W will, in this sction, look at a spcific typ of ponntial function whr th bas, b, is.78.... This
More information