Calculus & analytic geometry

Size: px
Start display at page:

Download "Calculus & analytic geometry"

Transcription

1 Calculus & aalytic gomtry B Sc MATHEMATICS Admissio owards IV SEMESTER CORE COURSE UNIVERSITY OF CALICUT SCHOOL OF DISTANCE EDUCATION CALICUT UNIVERSITYPO, MALAPPURAM, KERALA, INDIA

2 School of Distac Educatio UNIVERSITY OF CALICUT SCHOOL OF DISTANCE EDUCATION STUDY MATERIAL B Sc MATHEMATICS Admissio owards IV Smstr CORE COURSE CALCULUS & ANALYTIC GEOMETRY Prpard by: SriNadakumarM, Assistat Prof ssor, Dpt of Mathmatics, NAM Coll g, Kal likkady Layout & Sttigs Computr Sctio, SDE Rsrvd Calculus ad Aalytic Gomtry Pag

3 School of Distac Educatio CONTENTS Modul I Natural Logarithms 5 Th Epotial Fuctio a ad log a 8 4 Growth ad Dcay 4 5 L Hopital s Rul 9 6 Hyprbolic Fuctios 8 Modul II 7 Squcs 45 8 Thorms for Calculatig Limits of Squcs 5 9 Sris 5 Altratig Sris 67 Modul III Powr sris 76 Taylor ad Maclauri Sris 8 Covrgc of Taylor sris- Error Estimat 88 Modul IV 4 Coic Sctios ad Quadratic Equatios 9 5 Classifyig Coic Sctio by Ecctricity 95 6 Quadratic Equatios ad Rotatios 98 7 Paramtrizatio of Pla Curvs 8 Calculus with Paramtrizd Curvs 5 9 Polar Coordiats Graphig i Polar Coordiats 5 Polar Equatios for Coic Sctios 8 Ara of Polar Curvs 4 Lgth of Polar Curvs 7 4 Ara of Surfac of Rvolutio 9 Calculus ad Aalytic Gomtry Pag

4 School of Distac Educatio Calculus ad Aalytic Gomtry Pag 4

5 School of Distac Educatio MODULE I CHAPTER : NATURAL LOGARITHMS Th atural logarithm of a positiv umbr is th valu of th itgral writt as l i,, Rmarks If l dt, t dt t (), th l is th ara udr th curv y / t from t to t For, l givs th gativ of th ara udr th curv from to For, l dt, t as uppr ad lowr limits qual 4 Th atural logarithm fuctio is ot dfid for Th Drivativ of y = l Usig th first part of th Fudamtal Thorm of Calculus, for vry positiv valu of, d d l dt d d t It is If u is a diffrtiabl fuctio of whos valus ar positiv, so that l u is dfid, th applyig th Chai Rul to th fuctio dy dy du d du d y l u ( with ) u givs or simply Problm Solutio d l u d l u du d du d Evaluat Usig Eq(), with d du l u d u d ( ) u, d l( )( ) d d d Calculus ad Aalytic Gomtry Pag 5

6 School of Distac Educatio Proprtis of Logarithms For ay umbrs a ad, l a l a l (Product Rul) a l l a l (Quotit Rul) l l (Rciprocal Rul) 4 l l (Powr Rul) Thorm l a l a l Proof W first ot that l a ad l hav th sam drivativ Usig Corollary to th Ma Valu Thorm, th, th fuctios must diffr by a costat, which mas that l a l C for som C It rmais oly to show that C quals l a Equatio holds for all positiv valus of, so it must i particular hold for Hc, Hc, substitutig l( a ) l C l a C, sic l C l a C l a, l a l a l a Thorm l l a l Proof W us With a rplacd by / givs hc l l l l l rplacd by givs l a l a l = l, a l l a l a l l a l Calculus ad Aalytic Gomtry Pag 6

7 School of Distac Educatio Thorm l l (assumig ratioal) Proof: For all positiv valu of, Sic l d d l() d d ad l d ( l) d, usig Eq () with u, hr is whr w d to b ratioal hav th sam drivativ, by corollary to th Ma Valu Thorm, l l C for som costat C Takig, w obtai l l C or C Hc th proof Th Graph ad Rag of l d Th drivativ (l) is positiv for dt, so l is a icrasig fuctio of Th scod drivativ, /, is gativ, so th graph of l is cocav dow W ca stimat l by umrical itgratio to b about 69 ad, obtai ad Hc, it follows that l l l l liml ad liml Th domai of l is th st of positiv ral umbrs; th rag is th tir ral li Logarithmic Diffrtiatio Th drivativs of positiv fuctios giv by formulas that ivolv products, quotits, ad powrs ca oft b foud mor quickly if w tak th atural logarithm of both sids bfor diffrtiatig This abls us to us th proprtis of atural logarithm to simplify th formulas bfor diffrtiatig Th procss, calld logarithmic diffrtiatio, is illustratd i th comig ampls dy Problm Fid whr d Solutio Giv cos y (si) cos y (si) Takig logarithms o both sids, w obtai l y cos l si Calculus ad Aalytic Gomtry Pag 7

8 School of Distac Educatio Now diffrtiatig both sids with rspct to, w obtai d l(cos y d l si)(cos) lsi d cos(l si) d d d d d d si l si cos(si) si d dy i, cot cos si l si y d dy d y cot cos si l si dy d cos i, (si) cot cos si l si Problm dy Fid, whr y d Solutio Giv / y Takig logarithms o both sids, w gt l y = ½ [l ( + + ) l ( + )] Now diffrtiatig both sids with rspct to, w obtai d dy d y d dy d y d d or dy d Th Itgral (/u)du / / If u is a ozro diffrtiabl fuctio, du l u C u Proof Wh u is a positiv diffrtiabl fuctio, Eq () lads to th itgral formula du l u C, u If u is gativ, th u is positiv ad Calculus ad Aalytic Gomtry Pag 8

9 School of Distac Educatio du d() u u () u l() u C W ca combi th abov quatios ito a sigl formula by oticig that i ach cas th prssio o th right is Proof l u l u bcaus u ; l() u l u bcaus u l u C Hc whthr u is positiv or gativ, th itgral of (/)u du is l u C This complts th proof W rcall that u u du C, Th cas of is giv i Eq (9) Hc, u C, u du u, Itgratio Usig Logarithms Itgrals of a crtai form lad to logarithms That is, whvr f () giv for it () f d l() f C f () Problm Evaluat d 5 Aswr 5 is a diffrtiabl fuctio that maitais a costat sig o th domai du d, 5 u lttig u 5, du d, u () 5, u() l l 5 l l 5 l 5 / 4cos Problm Evaluat / si d l u 5 Calculus ad Aalytic Gomtry Pag 9

10 School of Distac Educatio Solutio 4cos d, si du takig u si, du cos d, u / 5 / l u 5 l 5 l l5 Th Itgrals of ta ad cot Problm Evaluat Aswr ta d ad cot d u ( / ), u( / ) 5 si du (i) ta d d cos, takig u cos, du si d u du l u C, usig Eq (9) u l cos C l C, by Rciprocal Rul cos l sc C cos d du (ii) cot d si, takig u si, cos u du d I gral, w hav l u C l si C l csc C ta u du l cosu C l scu C cot u du l si u C l cscu C Problm Evaluat Aswr / 6 ta d / 6 / du ta d ta u, takig u, d du /, u(), / ta u du l sc u / (l l) l u( / 6) / Calculus ad Aalytic Gomtry Pag

11 School of Distac Educatio Erciss I Erciss -6 prss th logarithms i trms of l 5 ad l7 l(/5) l 98 l l5 5 l 56 6 (l5 l(/ 7) /(l 5) I Erciss 7-, Eprss th logarithms i trms of l ad l 7) l 75 8) l(4/9) 9) l(/ ) ) l 9 ) l ) l 5 I Erciss -5, simplify th prssios usig th proprtis of logarithms si l si l 5 4 l( 9) l I Erciss 6-5, fid th drivativs of y with rspct to, t 6 y l 7 si(l) cos(l) y l() t 8 y y l sc(l) 4 5 ( ) y l 5 y l y l 5 y l / l(4) 4 l tdt or, as appropriat 9 y l( ) l t y l t I Erciss 6-, us logarithmic diffrtiatio to fid th drivativ of y with rspct to th giv idpdt variabl 6 y ( )( ) 7 8 y (ta) 9 si y sc ( )( y ( )( ) Evaluat th itgrals i Erciss d 4 d l / 8rdr 4 4r 5 7 cot t dt 4 / 4 6 d l / ta d 4 y t( t ) y t( t )( t ) y / ( ) 5 ( ) 4si d 4cos sc y ta y dy sc y sc d l(sc ta) Diffrtiat th followig prssios i Ercis 4-47 with rspct to 4 l 6 4 (l ) 44 l (ta + sc ) 45 l ( ) 46 (l ) 47 sc l, Calculus ad Aalytic Gomtry Pag

12 School of Distac Educatio CHAPTER : THE EXPONENTIAL FUNCTION I this chaptr w discuss th potial fuctio (it is th ivrs of l ) ad plors its proprtis Bfor givig formula dfiitio w cosidr a ampl Th Ivrs of l ad th Numbr Th fuctio l, big a icrasig fuctio of with domai (,) ad rag (,), has a ivrs l with domai (,) ad rag (,) Th graph of l is th graph of l rflctd across th li y Also, lim l ad lim l Th umbr Dfiitio l is dotd by th lttr l Rmark is ot a ratioal umbr, its valu ca b computd usig th formula lim 6! ad is approimatly giv by = Problm Cosidr a quatity y whos rat of chag ovr tim is proportioal to th dy amout of y prst Th y ad y satisfis th diffrtial quatio dt dy ky, () dt whr k is th proportioality costat By sparatig variabls, w obtai dy k dt y Itgratig both sids, w gt l y k t c or y kt c, whr ivrs of l ) simply w ca writ kt y C, () is th potial fuctio (it is th takig C c If, i additio to (), y y wh t, th () givs y C or C y Hc th fuctio satisfyig th diffrtial quatio () ad y y wh t is th potial kt fuctio y y Calculus ad Aalytic Gomtry Pag

13 School of Distac Educatio Th Fuctio y = W ot that, for ay ratioal umbr Hc, l l Sic l is o - to - o ad l l(l), /, ad so o Sic positiv, has a logarithm ad is giv by Calculus ad Aalytic Gomtry Pag is positiv th abov quatio tlls us that, for ratioal Th abov quatio provids a way to td th dfiitio of to irratioal valus of Th fuctio l is dfid for all ral, so w ca us it to assig a valu to at vry poit Th dfiitio follows: Dfiitio For vry ral umbr, Equatios Ivolvig l Sic l ad ad l ar ivrss of o aothr, w hav l (all l() (all ) ) Th abov ar ivrs quatios for ad l rspctivly 5 Problm a) l 5 5 b) l 5 c) l d) l l / si ) 4 4 si 4 l( ) 4 f) (this is possibl, sic Problm Evaluat l Aswr Alitr: l l l8 8 8 l l Problm Fid y if l y 7t 9 Aswr Epotiatig both sids, w obtai l y 7t9 y = 7t9, usig Eq(5) Problm Aswr Fid k if k = ) 4 Takig th atural logarithm o both sids, w gt l k = l k = l, usig Eq (6) k = l

14 School of Distac Educatio Laws of Epots For all ral umbrs, ad, th th followig laws of pots hold: = = = 4 Problm a) b) = l = = l = l l = =,by law, by law c) d) =, by law = =, by law 4 Problm Solv th followig for th valu of y (i) y (ii) Aswr y = (iii) y = + cos (i) y Now takig logarithms o both sids, w gt (ii) Giv y = + + = ( + ) as th solutio y Takig logarithms o both sids, w gt y or l Squarig both sids w gt y = [ l ] = 4 [l ] (iii) Giv y = + cos y Takig logarithms o both sids, w gt y = l ( + cos ), so that y = l ( + cos ) Calculus ad Aalytic Gomtry Pag 4

15 School of Distac Educatio Th Drivativ of Th potial fuctio is diffrtiabl bcaus it is th ivrs of a diffrtiabl fuctio whos drivativ is vr zro Cosidr y = Applyig logarithms o both sids, w obtai l y Diffrtiatig both sids with rspct to, w obtai y dy d dy or y d Rplacig y by, w obtai d d d 5 d Problm Evaluat Aswr Th Drivativ of d d u 5 d = 5 d = 5 If u is ay diffrtiabl fuctio of, th usig th Chai Rul Problm a) b) d d d si d Itgral of d d = () = ( ) = d u d = u du d, usig th abov quatio with u, = si d (si), usig th abov quatio with u si d = si cos u u du = u C Problm Solv th iitial valu problm y dy d, ; y() Calculus ad Aalytic Gomtry Pag 5

16 School of Distac Educatio Solutio y By sparatig variabls, th giv diffrtial quatio bcoms dy d Itgratig both sids of th diffrtial quatio, w obtai y C () To dtrmi C w us th iitial coditio Giv y, wh Hc or () C C () = 4 Substitutig this valus of C i (), w obtai y () To fid y, w tak logarithms o both sids of () ad gt or y = Clarly l y = l( ) l( ) l( ) is wll dfid for Chckig of th solutio i th origial quatio Now y dy = d = y d d y = l( ),, as ( ) Hc th solutio is chckd Erciss () ad hc th solutio is valid for usig Eq() d du u d u d, usig Eq() Fid simplr prssios for th quatitis i Erciss- 6 4 l() y sc l() () 5 l l l l() 6 l() l I Erciss 7-9, solv for y i trms of t or, as appropriat 7 l y = t 5 8 l( )y 9 l( y ) l( y ) = l(si) I Ercis-, solv for k = t a) 5k = 4 8 k = (l 8)k =8 Calculus ad Aalytic Gomtry Pag 6

17 School of Distac Educatio I Erciss -6, solv for t a) t = 4 kt = 5 (l ) t 6 ()( ) = t I Erciss 7-6, fid th drivativs of y with rspct to, t, or, as appropriat 7 y = / 8 y = (4) 9 y = ( ) y = (9 6 ) y = l() y = cos5 t y = l( si) t 4 y = l 5 y = si t (l t ) 6 y = l tdt 4 I Erciss 7-8, fid dy / d 7 l y = y 8 ta y = l Evaluat th itgrals i Erciss ( ) d () d l l6 / 4 d d r dr 4 r 4 () t t dt / / cot d 6 csc / 4 csc() t csc()cot() t t dt l cos() d 9 d Solv th iitial valu problms i Erciss dy dt d y dt t sc() t t, (), y (l 4) = / y ad y () = d Calculus ad Aalytic Gomtry Pag 7

18 School of Distac Educatio Th Fuctio a CHAPTER : a l a Sic a for ay positiv umbr a, w ca writ i th followig dfiitio Dfiitio For ay umbr a ad, Problm a = l a ad log a a as l () a = l a ad w stat this a) b) 5 5 l 6 l 6 = For a, ad ay ad y : Tabl: Laws of pots a a a y a = a y a y a = y a 4 () a y = a y = () a y Th Powr Rul (Fial Form) For ay ad ay ral umbr, w ca dfi = l Thrfor, th i th quatio l = l o logr ds to b ratioal- it ca b ay umbr as log as : l = l() Diffrtiatig l = l = l l, as l u u, for ay u with rspct to, d d l =, as for, d d = l ( l), as d d =, as =, as l d d u, ad l u du d d d Calculus ad Aalytic Gomtry Pag 8

19 School of Distac Educatio Hc, as log as, d d = Usig th Chai Rul, w ca td th abov quatio to th Powr Rul s fial form: If u is a positiv diffrtiabl fuctio of ad is ay ral umbr, th diffrtiabl fuctio of ad Problm a) d u d d d = u d b) (si) d du d = ( ) = (si) Th Drivativ of a Diffrtiatig d a = d d l a d a = l a cos (si ) with rspct to, w obtai = l ( l) a d d u d u du d du d a d d d = a l a, as ( ) a a a d d That is, if a, th d a d = a l a u is a, takig u a ad usig th Chai Rul Usig th Chai Rul, w ca td th abov quatio to th followig gral form If a ad u is a diffrtiabl fuctio of, th a u is a diffrtiabl fuctio of ad d a u d u du = a l a d If a, th l a l ad th abov quatio simplifis to Problm (a) (b) (c) d d d d d d d = d = l d = l() d si = si d l (si) d = l = (l si )cos Calculus ad Aalytic Gomtry Pag 9

20 School of Distac Educatio Th drivativ of a is positiv if l a, or a, ad gativ if l a, or a Thus, a is a icrasig fuctio of if a ad a dcrasig fuctio of if a I ach cas, a is o-to-o Th scod drivativ d d a () d d () a d ( a l) a = (l) a d d d is positiv for all, so th graph of OTHER POWER FUNCTIONS Calculus ad Aalytic Gomtry Pag a a is cocav up o vry itrval of th ral li Th ability to rais positiv umbrs to arbitrary ral powrs maks it possibl to dfi fuctios lik ad l for W fid th drivativs of such fuctios by rwritig th fuctios as powrs of Problm Fid dy d if Aswr With a y,, w ca writ y l as l, a powr of, so that Diffrtiatig both sids with rspct to, w obtai dy d = d l d = l ( l), usig Eq() with a, u l ad otig that l, or d simply usig Eq (9) of th prvious chaptr d = l, applyig product rul of diffrtiatio = ( l) Th Itgral of a u If a, th l a, so u du a = d () a u d l a d Itgratig with rspct to, w obtai u du a d = d l a d () a u d = d l a d ( a u ) d = d l a Writig th first itgral i diffrtial form givs u a du = l u a a C u a + C

21 School of Distac Educatio Problm Evaluat d Aswr Problm Aswr d = C, usig Eq () with a, u l Evaluat si cos si cos d d = u du, = u C l = si l Logarithms with Bas a C W hav otd that if a is ay positiv umbr othr tha, th fuctio a is o- to o ad has a ozro drivativ at vry poit It thrfor has a diffrtiabl ivrs W call th ivrs th logarithm of with bas a ad dot it by log a Dfiitio For ay positiv umbr a, log a ivrs of a Th graph of y log a ca b obtaid by rflctig th graph of y a across th li y (Fig) Sic log a ad a ar ivrs of o aothr, composig thm i ithr ordr givs th idtity fuctio That is, log a a = ( ) ad log() a = (all ) a log ath abov ar th ivrs quatios for a ad logth Evaluatio of alog() a a =, Takig th atural logarithm of both sids, Usig Powr Rul, log() a l a = l log()l a a = l Solvig for log a, w obtai log a = l l a Calculus ad Aalytic Gomtry Pag

22 School of Distac Educatio Problm l log l Proprtis of bas a logarithms For ay umbr > ad y >, Product Rul: log a y = log log y Quotit Rul: log a y = log a a a log a y Rciprocal Rul: log a y = log y a y 4 Powr Rul: log = log a y a Proof For atural logarithms, w hav l y = l l y Dividig both sids by l a, w gt l y l a = l l y l a l a i, log a y = log a + log a y logath Drivativ of that, if u is a positiv diffrtiabl uprov fuctio of, th Proof d (log) a u d d (log) a u d = du l a u d d l u = d l a = d (l) u l a d = du l a u d d Problm Evaluat log( ) d Solutio Takig a ad u, Eq(7) givs d log( ) = d ( ) = d l d (l)( ) Calculus ad Aalytic Gomtry Pag

23 School of Distac Educatio Itgrals Ivolvig loga To valuat itgrals ivolvig bas logarithms log Problm Evaluat d Solutio Erciss log d = l l d l, sic log l = l udu, takig u l, du d u (l) = C = l l (l) = C l C a logarithms, w covrt thm to atural Fid th drivativ of y with rspct to th giv idpdt variabl y = log( l ) y = log5 log5 y = log r log9 r 4 y = log 5 7 l 5 si cos 5 y = log7 6 y = log 7 y = log(log) 8 t 8 y = t log() (si)(l) t Us logarithmic diffrtiatio to fid th drivativ of y with rspct to th giv idpdt variabl 9 y = ( ) y = t t y = si y = (l) l Calculus ad Aalytic Gomtry Pag

24 School of Distac Educatio CHAPTER 4: GROWTH AND DECAY I this chaptr, w driv th law of potial chag ad dscrib som of th applicatios that accout for th importac of logarithmic ad potial fuctios Th Law of Epotial Chag Cosidr a quatity y (vlocity, tmpratur, lctric currt, whatvr) that icrass or dcrass at a rat that at ay giv tim t is proportioal to th amout prst If w also kow th amout prst at tim t, call it y, w ca fid y as a fuctio of t by solvig th followig iitial valu problm: Diffrtial quatio: dy dt = ky Iitial coditio: y = y wh t If y is positiv ad icrasig, th k is positiv ad w us th first quatio to say that th rat of growth is proportioal to what has alrady b accumulatd If y is positiv ad dcrasig, th k is gativ ad w us th scod quatio to say that th rat of dcay is proportioal to th amout still lft Clarly th costat fuctio y is a solutio of th diffrtial quatio i Eq () Now to fid th ozro solutios, w procd as follows: By sparatig variabls, th diffrtial quatio i Eq(a) givs dy k dt y Itgratig both sids, w obtai l y = kt C By potiatig, w obtai y = kt C i, y = C kt, sic a b = a b i, y = C kt, otig that if y = r, th y = r i, y = A kt, as A is a mor covit tha C To fid th right valu of A that satisfis th iitial valu problm, w solv for A wh y y ad t : k y = A = A Hc th solutio of th iitial valu problm is kt y = y Th law of Epotial Chag says that th abov quatio givs a growth wh k ad dcay wh k Th umbr k is th rat costat of th quatio Calculus ad Aalytic Gomtry Pag 4

25 School of Distac Educatio Populatio Growth Cosidr th umbr of idividuals i a populatio of popl It is a discotiuous fuctio of tim bcaus it taks o discrt valus Howvr, as soo as th umbr of idividuals bcoms larg ough, it ca safly b dscribd with a cotiuous or v diffrtiabl fuctio If w assum that th proportio of rproducig idividuals rmais costat ad assum a costat frtility, th at ay istat t th birth rat is proportioal to th umbr y() t of idividuals prst If, furthr, w glct dparturs, arrivals ad daths, th growth rat dy / dt will b th sam as th birth rat ky I othr words, dy / dt = kt ky, so that y y I ral lif all kids of growth, may hav limitatios imposd by th surroudig viromt, but w igor thm Problm O modl for th way disass sprad assums th rat dy / dt at which th umbr of ifctd popl chags is proportioal to th umbr y Th mor ifctd popl thr ar, th fastr th disas will sprad Th fwr thr ar, th slowr it will sprad Suppos that i th cours of ay giv yar th umbr of cass of a disas is rducd by % If thr ar, cass today, how may yars will it tak to rduc th umbr to? Aswr kt W us th quatio y = y Thr ar thr thigs to fid: th valu of y, th valu of k, th valu of t that maks y = Dtrmiatio of th valu of y W ar fr to cout tim bgiig aywhr w wat If w cout from today, th y =, wh t, so y =, Our quatio is ow y = kt Dtrmiatio of th valu of k Wh t prst valu, or 8 Hc, 8 =, k (), usig Eq () with t ad y =8 k = 8 Takig logarithms o both sids, w obtai Hc k l = l 8 k = l 8 Usig Eq(), at ay giv tim t, (l 8)t y =, () yar, th umbr of cass will b 8% of its Calculus ad Aalytic Gomtry Pag 5

26 School of Distac Educatio Dtrmiatio of th valu of t that maks y = W st y qual to i Eq(4) ad solv for t : =, (l 8)t = (l 8)t Takig logarithms o both sids, w obtai t = (l 8)t = l l l 8 It will tak a littl mor tha yars to rduc th umbr of cass to Cotiuously Compoudd Itrst If you ivst a amout A of moy at a fid aual itrst rat r (prssd as a dcimal) ad if itrst is addd to your accout k tims a yar, it turs out that th amout of moy you will hav at th d of t yars is kt r A t = A k Th itrst might b addd ( compoudd ) mothly ( k ), wkly ( k 5), daily ( k 65), or v mor frqutly, say by th hour or by th miut But thr is still a limit to how much you will ar that way, ad th limit is lim A t k r lim k = A k rt = A, as lim kt Th rsultig formula for th amout of moy i your accout aftr t yars is rt A() t = A Itrst paid accordig to this formula is said to b compoudd cotiuously Th umbr r is calld th cotiuous itrst rat Problm Suppos you dposit Rs6 i a bak accout that pays 6% compoudd cotiuously How much moy will you hav 8 yars latr? If bak pays 6% itrst quartrly how much moy will you hav 8 yars latr? Compar th two compoudig Aswr With A 6, r =6 ad t =8: A (8) = 6 (6)(8) = 6 48 = 58, approimatly If th bak pays 6% itrst quartrly, w hav to put k 4 i Eq (5) ad Calculus ad Aalytic Gomtry Pag 6

27 School of Distac Educatio 48 A(8) 6 6, approimatly Thus th ffct of 4 cotiuous compoudig, as compard with quartrly compoudig, has b a additio of Rs57 Radioactivity Wh a atom mits som of its mass as radiatio, th rmaidr of th atom rforms to mak a atom of som w lmt This procss of radiatio ad chag is calld radioactiv dcay, ad a lmt whos atoms go spotaously through this procss is calld radioactiv Thus, radioactiv carbo-4 dcays ito itrog Also, radium, through a umbr of itrvig radioactiv stps, dcays ito lad Eprimts hav show that at ay giv tim th rat at which a radioactiv lmt dcays (as masurd by th umbr of ucli that chag pr uit tim) is approimatly proportioal to th umbr of ucli prst Thus th dcay of a radioactiv lmt is dscribd by th quatio dy / dt = ky, k If y is th umbr of radioactiv ucli prst at tim zro, th umbr still prst at ay latr tim t will b kt y = y, k Problm Th half-lif of a radioactiv lmt is th tim rquird for half of th radioactiv ucli prst i a sampl to dcay Show that th half lif is a costat that dos ot dpd o th umbr of radioactiv ucli iitially prst i th sampl, but oly o th radioactiv substac Aswr Lt yb th umbr of radioactiv ucli iitially prst i th sampl Th th umbr y prst at ay latr tim t will b y y kt W sarch th valu of t at which th umbr of radioactiv ucli prst quals half th origial umbr: y kt y = kt = kt = l = l, usig Rciprocal Rul for logarithms l t k This valu of t is th half-lif of th lmt It dpds oly o th valu of radioactiv lmt, ot o y th umbr of radioactiv ucli prst Thus, k for a Half-lif = l k, whr k dpds oly o th radio activ substac Calculus ad Aalytic Gomtry Pag 7

28 School of Distac Educatio Problm Th umbr of radioactiv Poloium- atoms rmaiig aftr t days i a sampl that starts with y atoms is giv by th Poloium dcay quatio y = y 5 t Fid th Poloium- half lif Aswr Comparig Poloium dcay quatio with Eq (7), w hav Half-lif = l k l = 5 9 days, usig Eq (8) k 5 Problm Usig Carbo-4 datig, fid th ag of a sampl i which % of th radioactiv ucli origially prst hav dcayd (Th half lif of Carbo -4 is 57 yars) Aswr W ot that % of th radio activ ucli origially prst hav dcayd is quivalt to say that 9% of th radioactiv ucli is still prst W us th dcay quatio y y kt Thr ar two thigs to fid: th valu of k, kt th valu of t wh y = 9y, or kt =9 Dtrmiatio of th valu of k W us th half-lif quatio (8), to gt k = l half - lif = l 57 Hc th dcay quatio bcoms y y ( / 57) t Dtrmiatio of th valu of t that maks (l / 57) t 9 Takig logarithm of both sids, l 57 t = l 9 57l 9 t = 866 l Hc th sampl is about 866 yars old Calculus ad Aalytic Gomtry Pag 8

29 School of Distac Educatio CHAPTER5 L HOSPITAL S RULE L` Hospital rul for forms of typ / f ( ) Thorm Suppos that lim f lim g If lim ists i ithr th fiit or ifiit u u u g ( ) ss (that is, if this limit is a fiit umbr or or +), th f ( ) lim u g( ) f ( ) lim u g( ) Hr u may stad for ay of th symbols a, a, a,, or Problm Fid lim Aswr Hr both th umrator ad domiator hav limit Thrfor limit has / form lim lim, applyig l Hôpital s Rul si Problm Us l Hôpital s rul to show that lim si Aswr Hr limits of both th umrator ad domiator is Thrfor lim / form Now is i th si cos lim lim, usig l Hôpital s Rul ad otig that drivativ of si is cos ad that of is lim cos lim, usig quotit rul for limits Problm Fid lim Aswr Hr both th umrator ad domiator hav limit Thrfor limit has / form lim lim, applyig l Hôpital s Rul Calculus ad Aalytic Gomtry Pag 9

30 School of Distac Educatio Succssiv Applicatio of l Hôpital s Rul si Problm Evaluat lim Aswr Problm Hr th limit is i / form si L cos lim lim, agai i / form L lim 6 L lim 6 6 si, agai i / form cos, ow limit ca b valuatd cos Fid lim cos L si L cos Aswr lim lim lim This is wrog, as th first applicatio of l Hôpital s Rul was corrct; th scod was ot, sic at that stag th limit did ot hav th / form Hr is what w should hav do: cos lim L si lim Problm Evaluat lim cos Aswr Th giv is i th form This is right lim cos lim si Not If w cotiu to diffrtiat i a attmpt to apply L Hopital s rul oc mor, w gt lim cos lim si lim cos, which is wrog Calculus ad Aalytic Gomtry Pag

31 School of Distac Educatio log Problm Fid lim log Aswr Hr th giv limit ca b writt as ad th limit is i / form Also, log log lim lim log log log log lim lim log log log log Now w ar rady to apply l Hôpital s Rul: Erciss log L lim lim log Evaluat th followig limits lim lim (by algbraic maipulatios) lim lim si lim ta ta lim cos lim 4 lim b 5 ( ) lim 6 cos log( ) lim Calculus ad Aalytic Gomtry Pag

32 School of Distac Educatio lim 8 cos si si lim log( ) lim lim lim si si log( ) lim 4 log( ) ta lim si si lim si log( ) ta si lim 4 6 log( ) lim 7 log cos ta si lim si 8 cos cosh log 9 lim ta cos cos lim 4 lim si log( k ) lim cos 9 lim 6 L` Hospital rul for forms of typ / f ( ) Thorm Suppos that lim f ( ) lim g( ) If lim ists i ithr th fiit or ifiit u u u g ( ) ss (that is, if this limit is a fiit umbr or or +), th f ( ) lim u g( ) f ( ) lim u g( ) Hr u may stad for ay of th symbols a, a, a,, or Problm Fid lim Aswr Both ad td to as Hc limit is i / form lim lim, applyig l Hôpital s Rul = Calculus ad Aalytic Gomtry Pag

33 School of Distac Educatio ProblmEvaluat Aswr lim, whr is atural umbr Hr both th umrator ad domiator td to as lim L lim L lim L L L lim lim! lim Problm Show that if a is ay positiv ral umbr, Aswr a lim Hr both th umrator ad domiator td to as Hc limit is i / form Hc limit is i / form Suppos as a spcial cas that a = Th thr applicatios of l Hôpital s Rul giv lim A similar argumt works for ay a L lim L L lim lim 9 Problm Show that if a is ay positiv ral umbr, Aswr l lim a Hr both th umrator ad domiator td to as lim l lim L lim lim a a a a a a lim a Hc limit is i / form Calculus ad Aalytic Gomtry Pag

34 School of Distac Educatio l Problm Show that lim cot Aswr Hr both th umrator ad domiator td to as l L lim cot lim / cosc Hc limit is i / form This is still idtrmiat ( / form) as it stads, but rathr tha apply l Hôpital s Rul agai (which oly maks thigs wors), w rwrit: Thus / cosc si si si l lim cot si lim si si lim si lim Th Idtrmiat Products ad Diffrcs: Idtrmiat forms, Problm Evaluat Aswr Writ lim ta log lim ta log (which is i form) as: lim ta log l lim cot (ow i / form), by Eampl 5 i th prvious sctio Problm Evaluat Aswr ad l lim l td to as So th limit is a form Bfor applyig L`Hospital s Rul w rwrit: lim l l lim l (/ form) Calculus ad Aalytic Gomtry Pag 4

35 School of Distac Educatio Now apply L`Hospital s Rul: lim l l L lim lim / l l / l Erciss lim L l l lim sc ta / a lima ta a 5 lim si lim l l lim cot 4 limlog log Th Idtrmiat Powrs: Idtrmiat forms,, Thr idtrmiat forms of potial typ ar, ad Hr th trick is to cosidr ot th origial prssio, but rathr its logarithm Usually l`hospital s Rul will apply to th logarithm ta Problm Evaluat limsi Aswr Th limit taks th idtrmiat form ta Lt y si, so takig logarithims, w obtai logsi log y ta logsi cot Applyig l`hospital s Rul for / forms, log si lim log y lim cot L cos lim si cosc lim si cos si cos Now y l y, ad sic th potial fuctio f is cotiuous, lim y lim p log y p lim log y p ta i, limsi Calculus ad Aalytic Gomtry Pag 5

36 School of Distac Educatio cos Problm Prov that lim ta Aswr / Th limit taks th idtrmiat form cos Lt y ta By l`hospital s Rul, Now lim / lim / y l y, so that l ta l y cos l ta sc lim / lim / l ta sc sc ta L lim / lim / sc ta sc ta cos si l y, ad sic th potial fuctio y lim / p Problm Show that Aswr l y p lim l y p / lim Th limit lads to th idtrmiat form log log Lt y, so that y lim l y lim log (/ form) L lim l y Erciss lim lim y lim Evaluat th followig limits: f is cotiuous, lim ta lim a lim ta 4 lim cos 5 si lim 6 lim si cot Calculus ad Aalytic Gomtry Pag 6

37 School of Distac Educatio / 7 lim a lim a lim cot a 8 si log lim 9 lim lim ta 4 ta lim 4 5 b lim a 6 lim log lim 8 lim cos cot 7 9 lim si limsi si cos limlog ta ta cos ta ta lim a log 4 lim a a Calculus ad Aalytic Gomtry Pag 7

38 School of Distac Educatio Hyprbolic Fuctios Hyprbolic cosi of : Hyprbolic si of : CHAPTER 6 sih cosh Rmark: cosh sih HYPERBOLIC FUNCTIONS Dfiitio Usig th abov Dfiitio w ca dfi four othr hyprbolic fuctios ad ar listd blow: Hyprbolic tagt: Hyprbolic cotagt: Hyprbolic scat: tah sih cosh Calculus ad Aalytic Gomtry Pag 8 coth cosh sih sch cosh Hyprbolic coscat: csch sih Idtitis i hyprbolic fuctios cosh() cosh sih() sih cosh sih cosh sih tah sc h coth csc h cosh() cosh y cosh sih y sih y cosh() cosh y cosh sih y sih y si h() sih y cosh cosh y sih y si h() sih y cosh cosh y sih y cosh cosh sih sih cosh si h sih cosh sih sih cosh cosh cosh cosh sih cos h 4cosh cosh

39 School of Distac Educatio si h sih 4sih tah tah y tah( y) tah tah y tah tah y tah( y) tah tah y tah sih tah tah cosh tah tah tah tah tah tah tah tah Problm Giv sih Fid th othr fiv hyprbolic fuctios 4 Usig cosh Also, cosh sih, sih 5 4 / 4 sih / 4 5 tah ; coth cosh 5 / 4 5 tah sc h 4 4 ; ad cos ch cosh 5/ 4 5 sih Drivativs of Hyprbolic Fuctios d (sih) d cosh d (cosh) d sih d d d d (tah) sch (coth) csch d (sch) d sch tah d (csch) d csch coth Calculus ad Aalytic Gomtry Pag 9

40 School of Distac Educatio dy Problm Fid, whr d dy d d d Solutio sih cosh d d y sih cosh d d sih cosh d d d d sih sih sih cosh sih sih cosh Problm Evaluat d tah Solutio d Tak u Th, usig formula abov, d d tah sc h d d sc h Formula for Itgral of Hyprbolic Fuctios sihu du cosh u C coshu du sih u C sch u du tah u C csch u du coth u C schu tah u du sc hu C csch u coth u du csch u C Problm Evaluat l 4 sih d Solutio 4 sih d 4( ) d d [ ]( l )( ) l l l l l l 4 l 4 l 67, applyig product rul of diffrtiatio Calculus ad Aalytic Gomtry Pag 4

41 School of Distac Educatio Th Ivrs Hyprbolic Fuctios sih is th ivrs hyprbolic si of Idtitis for ivrs hyprbolic fuctios sc h cosh csc h sih coth tah Rlatio btw ivrs hyprbolic fuctios ad atural logarithm cosh l, sih l, tah l, sch l, csch l, coth l, Drivativs of ivrs hyprbolic fuctios Drivativ of sih - Lt y = sih Th = sih y Diffrtiatig both sids with rspct to, w gt dy = cosh y d dy Thrfor, for ral d cosh y sih y d d i sih, for ral I a similar mar, w hav th followig drivativs d (cosh) d d d tah, for Calculus ad Aalytic Gomtry Pag 4

42 School of Distac Educatio d d 4 coth, for d d 5 sch, d d 6 cosch, Problm Fid th drivativs of th followig fuctios with rspct to : (i) cosh ( ) (ii) sih (ta ) Solutio (i) Lt y = cosh ( ) dy d d du cosh cosh u with u d d du d (ii) Lt y = sih (ta ) 4 dy d sih ta d sih u du d d du d sc ta sc sc sc Itgrals ladig to ivrs hyprbolic fuctios du u a sih C, a a u du u a cosh C, u a u a du tah u C if u a a a coth u if a a a u C u a du u C u a a a 4 sch, a u du a u a 5 csch C, u u a u Calculus ad Aalytic Gomtry Pag 4

43 School of Distac Educatio Problm Aswr Evaluat th dfiit itgral d 4 Erciss d 4 sih sih Each of Erciss - givs a valu of sih or cosh Us th dfiitios ad th idtity cosh sih to fid th valus of th rmaiig fiv hyprbolic fuctios sih 4 cosh, 5 Rwrit th prssios i Erciss -5 i trms of potials ad simplify as much as you ca sih() 4 cosh sih 5 (cosh sih) (cosh sih) I Erciss 6-7, fid th drivativ of y with rspct to th appropriat variabl 6 y sih( ) 7 y t tah 8 y (cosh) z t 9 y csch( csch) y sih coth y (4 ) csc h() y cosh y ( ) tah( ) 4 y () coth t t 5 y sch 6 y csc h 7 y cosh(sc), / I Erciss 8-9, vrify th followig itgratio formula: 8 schd sch C d C 9 ta h ta h () I Erciss - 4, valuat th idfiit itgrals: sih d 4cosh( ) d 5 coth d csch(5) d 4 csc h()coth() t t t dt Calculus ad Aalytic Gomtry Pag 4

44 School of Distac Educatio I Erciss 5-9, valuat th dfiit itgrals: tah d 6 / sih(si) cos d 8 4sih d 4 4 sih d 8cosh Eprss th umbrs i Erciss - i trms of atural logarithms: d cosh(5/ ) coth(5/ 4) csc h( / ) I Erciss -6, valuat th itgrals i trms of (a) ivrs hyprbolic fuctios, (b) atural logarithms 5 / 6d 9 4 d 4 6 / d d () MODULE II CHAPTER 7: SEQUENCES Calculus ad Aalytic Gomtry Pag 44

45 School of Distac Educatio Squcs Dfiitio (Squc) If to ach positiv itgr thr is assigd a (ral or compl) umbr u, th ths umbrs u, u,, u, ar said to form a ifiit squc or, brifly, a squc, ad th umbrs u ar calld th trms of th squc A squc whos trms ar ral umbrs is calld ral squc W discuss ral squcs oly Dfiitio A ifiit squc (or squc) of umbrs is a fuctio whos domai is th st of itgrs gratr tha or qual to som itgr Usually is ad th domai of th squc is th st of positiv itgrs ad i that cas squcs ar th fuctios from th st of positiv itgrs Basd o th abov dfiitio a ampl of a squc is Th umbr u() u(), w hav Calculus ad Aalytic Gomtry Pag 45 u() is th th trm of th squc, or th trm with id If First trm Scod trm Third trm th trm u() u() Wh w us th subscript otatio u, u u 4, u() 4, Som othr ampls of squcs ar u(), u()( ), u() u for u(), th squc is writt u() u W rfr to th squc whos th trm is u with th otatio { u } If b, th st of ral umbrs, th squc B ( b, b, b,), all of whos trms qual b, is calld th costat squc b Thus th costat squc is th squc (,,,), all of whos trms qual, ad th costat squc is th squc (,,,) If a, th th squc { A a } is th squc a, a, a,, a, I particular, if a, th w obtai th squc,,,,, 4 8 Dfiitio A squc { u } is said to covrg or to b covrgt if thr is a umbr l with th followig proprty : For vry (i, is a positiv ral umbr that may b vry small, but ot zro) w ca fid a positiv itgr N such that N u l l is calld th limit of th squc Th w writ

46 School of Distac Educatio or simply limu l u l as ad w say that th squc covrgs to l or has th limit l If o such umbr l ists, w say that { u } divrgs Problm Aswr Show that Hr u ad l such that lim Lt N u l i, to show that thr ists a positiv itgr N such that N b giv W must show that thr ists a itgr N Th implicatio i () will hold if or If N is ay itgr gratr tha, th implicatio will hold for all N This provs that lim Problm Show that lim k k Aswr Lt (whr k is a costat) b giv W must show that thr ists a positiv itgr N such that N k k Sic k k, w ca us ay positiv itgr for N ad th implicatio will hold This provs that lim k k for ay costat k Problm Th squc (,,,,,,,) dos ot covrg to Aswr Hr u, wh is odd, wh is v If w choos, th, for ay positiv itgr N, o ca always slct a v umbr N, for which th corrspodig valu u ad for which u Thus, th umbr is ot th limit of th giv squc () u Rcursiv Dfiitios Calculus ad Aalytic Gomtry Pag 46

47 School of Distac Educatio So far, w hav calculatd ach ar dfid rcursivly by givig Th valu(s) of th iitial trm (or trms), ad u dirctly from th valu of But, som squcs A rul, calld a rcursio formula, for calculatig ay latr trm from trms that prcd it Problm Th statmts u ad u u dfi th squc,,,,, of positiv itgrs With u, w hav u u, u u, ad so o SUBSEQUENCES If th trms of o squc appar i aothr squc i thir giv ordr, w call th first squc a subsquc of th scod Problm Som subsqucs of X,,,,,,,, 4 5,,,,,, 5 But,,, ar, ad,,,,! 4!()! Y is ot a subsquc of X, bcaus th trms of Y do ot appar i X i th giv ordr Dfiitio A tail of a squc is a subsquc that cosists of all trms of th squc from som id N o I othr words, a tail is o of th sts { u N } Dfiitio If X { u, u,, u, } is a squc of ral umbrs ad if m is a giv atural umbr, th th m -tail of X is th squc X m { um, um, } ad its th trm is m For ampl, th -tail of th squc X {,4, 6, 8,,,, }, u is th squc X {8,,,, 6, } Rmark Aothr way to say that u L is to say that for vry, itrval ( L,) L about L cotais a tail of th squc th - op Boudd Nodcrasig Squcs Dfiitio A squc { u } with th proprty that u u for all is calld a odcrasig squc Som ampls of odcrasig squcs ar i) Th squc,,,,, of atural umbrs Calculus ad Aalytic Gomtry Pag 47

48 School of Distac Educatio ii) Th costat squc {} Dfiitio A squc { u } is boudd from abov if thr ists a umbr M such that u M for all Th umbr M is a uppr boud for { u } If M is a uppr boud for { u } ad o umbr lss tha M is a uppr boud for { u }, th M is th last uppr boud for { u } Thorm A o-dcrasig squc that is boudd from abov always has a last uppr boud Th squc,,,,,( ), is boudd from abov with a uppr boud is th last uppr boud as o umbr lss tha is a uppr boud Also ot that ay ral umbr gratr tha or qual to is also a uppr boud Th squc,,,,, has o uppr boud Thorm (Th Nodcrasig squc thorm) A odcrasig squc of ral umbrs covrgs if ad oly if it is boudd from abov If a odcrasig squc covrgs, it covrgs to its last uppr boud Erciss Each of Erciss -7 givs a formula for th th trm u of a squc { u } Fid th valus of u, u, u, ad u 4 u! ( ) u u 4 u ( ), 5 u ( ), 6 u ( ) 7 u I Erciss 8- th first fw trms of a squc { u } ar giv blow Assumig that th atural pattr idicatd by ths trms prsists, giv a formula for th th trm u 8 5, 7, 9,,, 9,,,,, 4 8 6,,, 4,,, 4, 9, 6, 4 5 Each of Erciss -8 givs th first trm or two of a squc alog with a rcursio formula for th rmaiig trms Writ out th first t trms of th squc u u, u u u, u Calculus ad Aalytic Gomtry Pag 48

49 School of Distac Educatio 4 u, u, u 5 u, u u, 6 v, v () y y u u () u 7 u, u, u () u u u 8 u, u 5, u u u I Erciss 9-, fid a formula for th th trm of th squc 9 Th squc,,,,, Th squc,,,,, Th squc,,,,, Th squc, 6,, 4, 8, Th squc,,,,,,,4, CHAPTER8 THEOREMS FOR CALCULATING LIMITS OF SEQUENCES Dfiitio If X { u } ad Y { v } ar squcs of ral umbrs, th w dfi thir sum to b th squc X Y { u v}, thir diffrc to b th squc X Y { u v}, ad thir product to b th squc X Y { u v } If c w dfi th multipl of X by Calculus ad Aalytic Gomtry Pag 49

50 School of Distac Educatio c to b th squc cx { cu } Fially, if Z { w } is a squc of ral umbrs with X u w for all, th w dfi th quotit of X ad Z to b th squc Z w Thorm Lt { u } ad { v } b squcs of ral umbrs Th followig ruls hold if lim u A ad lim v B whr A ad B b ral umbrs Sum Rul : lim() u v A B Diffrc Rul : lim() u v A B Product Rul : lim() u v A B 4 Costat Multipl Rul : lim() k v k B (Ay umbr k) u 5 Quotit Rul : lim A v B if B Problm Show that Aswr Sic, lim w hav lim lim lim lim Thorm 4 Th Sadwich Thorm for Squcs Lt { u}, { v}, ad { w } b squcs of ral umbrs If u v w holds for all byod som id N, ad if lim u lim w L, th lim v L also Rmark A immdiat cosquc of Thorm 4 is that, if v w ad w, th v bcaus w v w W us this fact i th comig ampls Problm Show that Aswr covrgs to bcaus ad sic lim Thorm 5: Th Cotiuous Fuctio Thorm for Squcs Lt { u } b a squc of ral umbrs If u L ad if f is a fuctio that is cotiuous at L ad dfid at all u, th f ()() u f L Usig I Hôpital s Rul Calculus ad Aalytic Gomtry Pag 5

51 School of Distac Educatio Thorm 6 Suppos that f () is a fuctio dfid for all ad that { u } squc of ral umbrs such that u f () for Th Eampl 9 Solutio Problm lim() f Fid L lim u L lim 5 lim 5 is i th form Hc lim lim l, applyig L Hôpital s rul, ad otig that th drivativ of 5 5 with rspct to is Dos th squc whos th trm is covrg? If so, fid lim u u Solutio Th limit lads to th idtrmiat form W ca apply l Hôpital s rul if w first chag it to th form by takig th atural logarithm of l u l l lim l u lim l ( form) l lim form ( ) lim, applyig l Hôpital s rul lim lim Sic l u as, ad f () l u u That is, th squc { u } covrgs to Erciss u is a is cotiuous vrywhr, Thorm 5 tlls us that Which of th squcs { u } i Erciss - covrg, ad which divrg? Fid th limit of ach covrgt squc Calculus ad Aalytic Gomtry Pag 5

52 School of Distac Educatio u 5 u ( ) u ( ) 9 u ( ) 6 u u u u u u cos() 4 (9) 5 u 6 u 8 u 9 u l l( ) 4 u! 7 u u cos u 5 (l) 4 u l 7 l u u 4 u 8 u u 7 4 u si u () ( 4) u ( 4) ( 4)! 5 u l 6 u 8 u 9 u sih(l) 9 u u ta 5 u u d, p p 6 Giv a ampl of two divrgt squcs X, Y such that thir product XY covrgs 7 Show that if X ad Y ar squcs such that X ad X Y ar covrgt, th Y is covrgt 8 Show that if X ad Y ar squcs such that X covrgs to ad XY covrgs, th Y covrgs 9 Show that th squc { } 4 Show that th squc is ot covrgt {( ) } is ot covrgt I Erciss 4-44, fid th limits of th followig squcs: 4 4 ( ) 4 44 CHAPTER9 SERIES Dfiitio If u, u, u,, u, b a squc of ral umbrs, th u u u u Calculus ad Aalytic Gomtry Pag 5

53 School of Distac Educatio is calld a ifiit sris or, brifly, sris sris u u u u is dotd by Th sum u s u u u (i, th sum of th first trms of th sris) is calld th Th squc whr sum s is th s, s, s,, s, th partial sum of th sris u u is th th trm of th sris A ifiit th partial sum of th sris, is calld th squc of Problm Fid th th partial sum of th sris u, whr u ( ) Aswr Th giv sris is Th th partial sum is giv by s u if is odd if is v ( ) Covrgc, Divrgc ad Oscillatio of a sris Cosidr th ifiit sris u u u u u () ad lt th sum of th first trms b s u u u u Th, is th th partial sum of th sris () Th squc s, s, s,, s, () is th squc of th partial sums of th sris () As thr possibilitis aris: th partial (i) Th squc giv by () covrgs to a fiit umbr l; i this cas th sris is said to b covrgt ad has th sum l u i, u l (i, th sris is summabl with sum l) Calculus ad Aalytic Gomtry Pag 5

54 School of Distac Educatio (ii) Th squc () dos t covrg but tds to or as ; i this cas th sris u is said to b divrgt ad has o sum (i, th sris is ot summabl) (iii) If th both th cass (i) ad (ii) abov do ot occur, th th sris b oscillatory or o-covrgt (I this cas also th sris is ot summabl) Problm Show that th sris covrgs ad also fid its sum Solutio Lt u Th th th partial sum is giv by s u is said to Sic as, s as Sic () s, th squc of th partial sums, covrgs to, th giv sris also covrgs ad th sum of th sris is Problm Show that th gomtric sris a ar ar ar covrgs if r ad divrgs if r Proof Cas r Th th partial sum of th sris is giv by s a ar ar ar a() r a ar r r r W ot that wh r, r as r, r, Hc, () ar a lim lim r a r r Hc from (), w obtai for r Calculus ad Aalytic Gomtry Pag 54

55 School of Distac Educatio lim s a r i, th squc () s of th a partial sums covrgs to r Hc th giv sris also covrgs to a ar, r r Cas Wh r, w hav s Hc as s, a r for r I othrwords, So th squc of th partial sums divrgs ad hc th giv sris also divrgs Cas Wh r r as, s a ar ar a()( r ) a r as r r So i this cas th squc of th partial sums divrgs Hc th gomtric sris a ar ar covrgs if r ad divrgs if r If r, th gomtric sris sris divrgs a ar ar ar a covrgs to r ad if r, th Problm Show that th sris covrgs Fid its sum Solutio Th giv is a gomtric sris with sris is covrgt ad its sum is giv by a 9 ad r Hr r Hc th Problm Discuss th covrgc of th sris 4( ) Calculus ad Aalytic Gomtry Pag 55

56 School of Distac Educatio Also fid it sum Aswr Hr u By partial fractio, ( ) A B ( ), which givs, ( A) B Puttig, w hav B ad puttig, A u Th th partial sum of th sris is giv by Hc s u u u 4 4 lim s lim Sic th squc of th partial sums covrgs to, th sris also covrgs to Hc w ca writ 4( ) Thorm If th sris u u u u covrgs th limu i, th th trm of a covrgt sris must td to zro as Proof Lt s lim s dot th th partial sum of th sris Th w ot that lim s Sic s u u u ad s u u u w hav s s u or u s s Hc limu lim() s lim s lims s Hc th proof DIVERGENT SERIES Calculus ad Aalytic Gomtry Pag 56

57 School of Distac Educatio Gomtric sris with r divrgt sris Problm m divrgs Solutio Show that th sris 4 ar ot th oly sris to divrg W discuss som othr Th giv ss divrgs bcaus th partial sums vtually outgrow vry prassigd umbr Each trm is gratr tha, so th sum of trms is gratr tha Simpl Tst for Divrgc (th Trm Tst) Thorm ( th Trm Tst) A cssary coditio for th covrgc of a sris is that u u u u m limu i, if th sris u covrgs, th limu Atttio! Th coditio i Thorm is oly cssary for covrgc, but ot sufficit As a ampl, th sris satisfis th coditio lim but it divrgs Divrgc Tst I viw of Thorm w hav th followig: If limu, th sris divrgs u u u u I viw of th Trm Tst, is ot covrgt as Problm Discuss th covrgc of th sris Aswr 4 lim u lim Calculus ad Aalytic Gomtry Pag 57

58 School of Distac Educatio Lt u Th lim u lim lim Sic limu, th giv sris caot covrg Thorm If a A ad b Sum Rul: Diffrc Rul: B ar covrgt sris, th a b a b A B a b a b A B Costat Multipl Rul: ka k a ka 4 Problm Show that th sris covrgs Aswr 4 4 a, r Hc th giv sris covrgs, by costat multipl Rul as th abov is a gomtric sris with Addig or Dltig Trms W ca always add a fiit umbr of trms to a sris or dlt a fiit umbr of trms without altrig th sris covrgc or divrgc, although i th cas of covrgc this will usually chag th sum If a covrgs, th covrgs for ay k ad a a a a a Covrsly, if ad a k k covrgs for ay k, th a covrgs Thus, a k Calculus ad Aalytic Gomtry Pag 58

59 School of Distac Educatio Ridig As log as w prsrv th ordr of its trms, w ca rid ay sris without altrig its covrgc To rais th startig valu of th id h uits, rplac th i th formula for a by h : a ah a a a h To lowr th startig valu of th id h uits, rplac th i th formula for h : a by a ah a a a h Rmark Th partial sums rmai th sam o mattr what idig w choos W usually giv prfrc to idigs that lad to simpl prssios Erciss I Erciss -, fid a formula for th sris sum if th sris covrgs ( ) th partial sum of ach sris ad us it to fid th ( ) I Erciss 4-7, writ out th first fw trms of ach sris to show how th sris starts Th fid th sum of th sris ( ) 4 5 Us partial fractios to fid th sum of ach sris i Erciss ( )( ) ( ) ( ) (ta() ta( )) Which sris i Erciss - covrg, ad which divrg? Giv rasos for your aswrs If a sris covrgs, fid its sum 4 cos 5 Calculus ad Aalytic Gomtry Pag 59

60 School of Distac Educatio 5 l 6, 7 8 9! l I ach of th gomtric sris i Erciss -, writ out th first fw trms of th sris to fid a ad r, ad fid th sum of th sris Th prss th iquality r i trms of ad fid th valus of for which th iquality holds ad th sris covrgs ( ) ( ) si I Erciss -5, fid th valus of for which th giv gomtric sris covrgs Also, fid th sum of th sris (as a fuctio of ) for thos valus of ( ) 4 ( ) 5 NONDECREASING PARTIAL SUMS (l) Thorm 4 A sris u of ogativ trms covrgs if ad oly if its partial sums ar boudd from abov Problm (Th Harmoic Sris) Th sris is calld th harmoic sris It divrgs bcaus thr is o uppr boud for its partial sums To s why, group th trms of th sris i th followig way: Th sum of th first two trms is 5 Th sum of th t two trms is 4,which is gratr tha 4 4 Th sum of th t four trms is , which is gratr tha Th sum of th t ight trms is which is , gratr tha 8 6 Th sum of th t 6 trms is gratr tha 6, ad so o I gral, th sum of trms dig with is gratr tha Hc th squc of partial sums is ot boudd from abov: For, if tha k Hc, by Thorm 4, th harmoic sris divrgs k th partial sum s is gratr Calculus ad Aalytic Gomtry Pag 6

61 School of Distac Educatio Th Itgral Tst ad p-sris Thorm 5 Th Itgral Tst Lt u b a squc of positiv trms Suppos that u f (), whr f is a cotiuous, positiv, dcrasig fuctio of for all N (N a positiv itgr) Th th sris ad th itgral f () d both covrg or both divrg Problm u N Usig th Itgral Tst, show that th p-sris () p p p p p (p a ral costat) covrgs if p ad divrgs if p Solutio Cas If p th p d d lim b p p p lim ( ) p p b b p p N f () is a positiv dcrasig fuctio of for Now, p b, sic p b as b bcaus p Hc p d covrgs ad hc, by th Itgral Tst, th giv sris covrgs Cas If p, th p ad lim( p d b ) p b Hc, by th Itgral Tst, Th sris divrgs for p p If p, w hav th harmoic sris, as limb p b for p which is kow by Eampl, to b divrgt, Hc w coclud that th sris covrgs for p but divrgs wh p Rmark W ot that Thorm says, i particular, that divrgs Calculus ad Aalytic Gomtry Pag 6

62 School of Distac Educatio Erciss Which of th sris i Erciss -5 covrg, ad which divrg? Giv rasos for your aswrs l ( l) 5 4 ta (l) ( l) 4 5 ta sch COMPARISON TESTS FOR SERIES OF NON-NEGATIVE TERMS Thorm 6 (Dirct Compariso Tst) Lt u ad v b two sris with ogativ trms such that u v for all N, for som itgr N Th (a) if (b) if v is covrgt, th u u is divrgt, th v Thorm 7 Limit Compariso Tst Suppos that u ad v for all N u If lim c, th u ad v v is also covrgt is also divrgt (whr N is a itgr) both covrg or both divrg u If lim ad v covrgs, th u v u If lim ad v v divrgs, th u Problm Tst th covrgc of covrgs divrgs Solutio Lt u Calculus ad Aalytic Gomtry Pag 6

63 School of Distac Educatio Th u ( )( ) Tak v 7 Th u lim lim v Th giv sris 7 u covrgs as v, big a harmoic sris with p, covrgs Problm Tst for covrgc or divrgc th sris Solutio Lt th trm b 4 5 h h h h 4 u Th u h h Lt v h so that v h h ad divrgt for h Now, a harmoic sris with p h h u lim lim lim h, v a fiit o zro umbr Hc, by compariso tst, divrg togthr, which is covrgt for u ad v covrg or Sic th sris h v is covrgt for h is also covrgt for h i, for Th sris for h v is divrgt for h, hc u is also divrgt for h i, Calculus ad Aalytic Gomtry Pag 6

64 School of Distac Educatio D Almbrt s Ratio-Tst for Covrgc Thorm 7 D Almbrt s Ratio-Tst If u is a sris with positiv trms, ad if u u lim, th (i) u is covrgt wh l, (ii) u is divrgt wh l (iii) th tst is icoclusiv wh l i, th sris may covrg or divrg wh l Problm Aswr Tst th covrgc of th sris 5 Lt ad u 5, th ( ) u 5 u ( ) 5 5 lim lim lim u So by D Almbrt s ratio tst th giv sris covrgs Problm Aswr Tst th covrgc of! Tak u! Th u ( ) ( )! ad u u ( )!( ) ( )! u lim lim u ad hc by D Almbrts ratio tst, is divrgt Calculus ad Aalytic Gomtry Pag 64

65 School of Distac Educatio Th th Root tst Thorm 9 (Cauchy s th Root Tst) If that lim u l th th sris u (i) covrgs if l, (ii) divrgs if l or l is ifiit, (iii) th tst is i coclusiv if l u Problm Ivstigat th bhaviour (covrgc or divrgc) of Aswr Lt u Th u ad a lim lim Hc, by Root Tst, u is covrgt is a sris with o-gativ trms such u, if u [( ) r ] Problm Show that th sris is covrgt if r ad divrgt if r Aswr [( ) r ] Takig u, w hav ( ) r () u r r Sic lim, th abov implis lim() u Thrfor r u covrgs if r ad divrgs if r ( ) If r, u Lt Also, v Th v is a harmoic sris with p ad hc is divrgt u lim lim, a fiit o zro valu v Hc, by Compariso Tst, divrgs wh r u divrgs Thus th sris covrgs wh r ad Calculus ad Aalytic Gomtry Pag 65

66 School of Distac Educatio Erciss Which of th sris i Erciss - covrg, ad which divrg? Giv rasos for your aswrs! (l) 7 8 l 9 ( )!! ( )!!! (l) Which of th sris a dfid by th formulas i Erciss 4-9 covrg, ad which divrg? Giv rasos for your aswrs ta 4 a, a a 5 a, a a l 6 a 5, a a 7 a, a a, 9 a 8 a a a ()!!( )!( )! Which of th sris i Erciss - covrg ad which divrg? Giv rasos for your aswrs (!) () () ( ) [ 4()]( ) Calculus ad Aalytic Gomtry Pag 66

67 School of Distac Educatio CHAPTER ALTERNATING SERIES Altratig sris ad Libiz tst Dfiitio (Altratig sris) A sris i which th trms ar altrativly positiv ad gativ is a altratig sris Problm Each of th thr sris ( ) 4 8 ; 4( ) ; 4 ( ) is a altratig sris Th third sris, calld th altratig harmoic sris, is covrgt This is dscribd i Problm Notatio A altratig sris may b writt as ( ) u whr ach u is positiv ad th first trm is positiv If th first trm i th sris is gativ, th w writ th sris as ( ) u Thorm (Libiz Tst for tstig th atur of altratig sris) Suppos u (a) u u u u is a squc of positiv umbrs such that ad (b) limu, Th th altratig sris Proof ( ) u is covrgt If is a v itgr, say m th th sum of th first trms is s ()()() u u u u u u m 4 m m u ()()() u u u4 u5 um u m um Th first quality shows that sm is th sum of m ogativ trms, sic, by assumptio (a), ach trm i parthss is positiv or zro Hc s m s m, ad th squc { sm} is odcrasig Th scod quality shows that sm u Sic { sm} is odcrasig ad boudd from abov, by o dcrasig Squc Thorm (Thorm of Chaptr Squc ), it has a limit, say lim s m m L () Calculus ad Aalytic Gomtry Pag 67

1985 AP Calculus BC: Section I

1985 AP Calculus BC: Section I 985 AP Calculus BC: Sctio I 9 Miuts No Calculator Nots: () I this amiatio, l dots th atural logarithm of (that is, logarithm to th bas ). () Ulss othrwis spcifid, th domai of a fuctio f is assumd to b

More information

Chapter 2 Infinite Series Page 1 of 11. Chapter 2 : Infinite Series

Chapter 2 Infinite Series Page 1 of 11. Chapter 2 : Infinite Series Chatr Ifiit Sris Pag of Sctio F Itgral Tst Chatr : Ifiit Sris By th d of this sctio you will b abl to valuat imror itgrals tst a sris for covrgc by alyig th itgral tst aly th itgral tst to rov th -sris

More information

Option 3. b) xe dx = and therefore the series is convergent. 12 a) Divergent b) Convergent Proof 15 For. p = 1 1so the series diverges.

Option 3. b) xe dx = and therefore the series is convergent. 12 a) Divergent b) Convergent Proof 15 For. p = 1 1so the series diverges. Optio Chaptr Ercis. Covrgs to Covrgs to Covrgs to Divrgs Covrgs to Covrgs to Divrgs 8 Divrgs Covrgs to Covrgs to Divrgs Covrgs to Covrgs to Covrgs to Covrgs to 8 Proof Covrgs to π l 8 l a b Divrgt π Divrgt

More information

MONTGOMERY COLLEGE Department of Mathematics Rockville Campus. 6x dx a. b. cos 2x dx ( ) 7. arctan x dx e. cos 2x dx. 2 cos3x dx

MONTGOMERY COLLEGE Department of Mathematics Rockville Campus. 6x dx a. b. cos 2x dx ( ) 7. arctan x dx e. cos 2x dx. 2 cos3x dx MONTGOMERY COLLEGE Dpartmt of Mathmatics Rockvill Campus MATH 8 - REVIEW PROBLEMS. Stat whthr ach of th followig ca b itgratd by partial fractios (PF), itgratio by parts (PI), u-substitutio (U), or o of

More information

PURE MATHEMATICS A-LEVEL PAPER 1

PURE MATHEMATICS A-LEVEL PAPER 1 -AL P MATH PAPER HONG KONG EXAMINATIONS AUTHORITY HONG KONG ADVANCED LEVEL EXAMINATION PURE MATHEMATICS A-LEVEL PAPER 8 am am ( hours) This papr must b aswrd i Eglish This papr cosists of Sctio A ad Sctio

More information

Review Exercises. 1. Evaluate using the definition of the definite integral as a Riemann Sum. Does the answer represent an area? 2

Review Exercises. 1. Evaluate using the definition of the definite integral as a Riemann Sum. Does the answer represent an area? 2 MATHEMATIS --RE Itgral alculus Marti Huard Witr 9 Rviw Erciss. Evaluat usig th dfiitio of th dfiit itgral as a Rima Sum. Dos th aswr rprst a ara? a ( d b ( d c ( ( d d ( d. Fid f ( usig th Fudamtal Thorm

More information

z 1+ 3 z = Π n =1 z f() z = n e - z = ( 1-z) e z e n z z 1- n = ( 1-z/2) 1+ 2n z e 2n e n -1 ( 1-z )/2 e 2n-1 1-2n -1 1 () z

z 1+ 3 z = Π n =1 z f() z = n e - z = ( 1-z) e z e n z z 1- n = ( 1-z/2) 1+ 2n z e 2n e n -1 ( 1-z )/2 e 2n-1 1-2n -1 1 () z Sris Expasio of Rciprocal of Gamma Fuctio. Fuctios with Itgrs as Roots Fuctio f with gativ itgrs as roots ca b dscribd as follows. f() Howvr, this ifiit product divrgs. That is, such a fuctio caot xist

More information

+ x. x 2x. 12. dx. 24. dx + 1)

+ x. x 2x. 12. dx. 24. dx + 1) INTEGRATION of FUNCTION of ONE VARIABLE INDEFINITE INTEGRAL Fidig th idfiit itgrals Rductio to basic itgrals, usig th rul f ( ) f ( ) d =... ( ). ( )d. d. d ( ). d. d. d 7. d 8. d 9. d. d. d. d 9. d 9.

More information

A Simple Proof that e is Irrational

A Simple Proof that e is Irrational Two of th most bautiful ad sigificat umbrs i mathmatics ar π ad. π (approximatly qual to 3.459) rprsts th ratio of th circumfrc of a circl to its diamtr. (approximatly qual to.788) is th bas of th atural

More information

Fooling Newton s Method a) Find a formula for the Newton sequence, and verify that it converges to a nonzero of f. A Stirling-like Inequality

Fooling Newton s Method a) Find a formula for the Newton sequence, and verify that it converges to a nonzero of f. A Stirling-like Inequality Foolig Nwto s Mthod a Fid a formla for th Nwto sqc, ad vrify that it covrgs to a ozro of f. ( si si + cos 4 4 3 4 8 8 bt f. b Fid a formla for f ( ad dtrmi its bhavior as. f ( cos si + as A Stirlig-li

More information

H2 Mathematics Arithmetic & Geometric Series ( )

H2 Mathematics Arithmetic & Geometric Series ( ) H Mathmatics Arithmtic & Gomtric Sris (08 09) Basic Mastry Qustios Arithmtic Progrssio ad Sris. Th rth trm of a squc is 4r 7. (i) Stat th first four trms ad th 0th trm. (ii) Show that th squc is a arithmtic

More information

Worksheet: Taylor Series, Lagrange Error Bound ilearnmath.net

Worksheet: Taylor Series, Lagrange Error Bound ilearnmath.net Taylor s Thorm & Lagrag Error Bouds Actual Error This is th ral amout o rror, ot th rror boud (worst cas scario). It is th dirc btw th actual () ad th polyomial. Stps:. Plug -valu ito () to gt a valu.

More information

Chapter At each point (x, y) on the curve, y satisfies the condition

Chapter At each point (x, y) on the curve, y satisfies the condition Chaptr 6. At ach poit (, y) o th curv, y satisfis th coditio d y 6; th li y = 5 is tagt to th curv at th poit whr =. I Erciss -6, valuat th itgral ivolvig si ad cosi.. cos si. si 5 cos 5. si cos 5. cos

More information

Probability & Statistics,

Probability & Statistics, Probability & Statistics, BITS Pilai K K Birla Goa Campus Dr. Jajati Kshari Sahoo Dpartmt of Mathmatics BITS Pilai, K K Birla Goa Campus Poisso Distributio Poisso Distributio: A radom variabl X is said

More information

DTFT Properties. Example - Determine the DTFT Y ( e ) of n. Let. We can therefore write. From Table 3.1, the DTFT of x[n] is given by 1

DTFT Properties. Example - Determine the DTFT Y ( e ) of n. Let. We can therefore write. From Table 3.1, the DTFT of x[n] is given by 1 DTFT Proprtis Exampl - Dtrmi th DTFT Y of y α µ, α < Lt x α µ, α < W ca thrfor writ y x x From Tabl 3., th DTFT of x is giv by ω X ω α ω Copyright, S. K. Mitra Copyright, S. K. Mitra DTFT Proprtis DTFT

More information

Chapter Taylor Theorem Revisited

Chapter Taylor Theorem Revisited Captr 0.07 Taylor Torm Rvisitd Atr radig tis captr, you sould b abl to. udrstad t basics o Taylor s torm,. writ trascdtal ad trigoomtric uctios as Taylor s polyomial,. us Taylor s torm to id t valus o

More information

On the approximation of the constant of Napier

On the approximation of the constant of Napier Stud. Uiv. Babş-Bolyai Math. 560, No., 609 64 O th approximatio of th costat of Napir Adri Vrscu Abstract. Startig from som oldr idas of [] ad [6], w show w facts cocrig th approximatio of th costat of

More information

Time : 1 hr. Test Paper 08 Date 04/01/15 Batch - R Marks : 120

Time : 1 hr. Test Paper 08 Date 04/01/15 Batch - R Marks : 120 Tim : hr. Tst Papr 8 D 4//5 Bch - R Marks : SINGLE CORRECT CHOICE TYPE [4, ]. If th compl umbr z sisfis th coditio z 3, th th last valu of z is qual to : z (A) 5/3 (B) 8/3 (C) /3 (D) o of ths 5 4. Th itgral,

More information

Statistics 3858 : Likelihood Ratio for Exponential Distribution

Statistics 3858 : Likelihood Ratio for Exponential Distribution Statistics 3858 : Liklihood Ratio for Expotial Distributio I ths two xampl th rjctio rjctio rgio is of th form {x : 2 log (Λ(x)) > c} for a appropriat costat c. For a siz α tst, usig Thorm 9.5A w obtai

More information

07 - SEQUENCES AND SERIES Page 1 ( Answers at he end of all questions ) b, z = n

07 - SEQUENCES AND SERIES Page 1 ( Answers at he end of all questions ) b, z = n 07 - SEQUENCES AND SERIES Pag ( Aswrs at h d of all qustios ) ( ) If = a, y = b, z = c, whr a, b, c ar i A.P. ad = 0 = 0 = 0 l a l

More information

COLLECTION OF SUPPLEMENTARY PROBLEMS CALCULUS II

COLLECTION OF SUPPLEMENTARY PROBLEMS CALCULUS II COLLECTION OF SUPPLEMENTARY PROBLEMS I. CHAPTER 6 --- Trscdtl Fuctios CALCULUS II A. FROM CALCULUS BY J. STEWART:. ( How is th umbr dfid? ( Wht is pproimt vlu for? (c ) Sktch th grph of th turl potil fuctios.

More information

Chapter Five. More Dimensions. is simply the set of all ordered n-tuples of real numbers x = ( x 1

Chapter Five. More Dimensions. is simply the set of all ordered n-tuples of real numbers x = ( x 1 Chatr Fiv Mor Dimsios 51 Th Sac R W ar ow rard to mov o to sacs of dimsio gratr tha thr Ths sacs ar a straightforward gralizatio of our Euclida sac of thr dimsios Lt b a ositiv itgr Th -dimsioal Euclida

More information

They must have different numbers of electrons orbiting their nuclei. They must have the same number of neutrons in their nuclei.

They must have different numbers of electrons orbiting their nuclei. They must have the same number of neutrons in their nuclei. 37 1 How may utros ar i a uclus of th uclid l? 20 37 54 2 crtai lmt has svral isotops. Which statmt about ths isotops is corrct? Thy must hav diffrt umbrs of lctros orbitig thir ucli. Thy must hav th sam

More information

STIRLING'S 1 FORMULA AND ITS APPLICATION

STIRLING'S 1 FORMULA AND ITS APPLICATION MAT-KOL (Baja Luka) XXIV ()(08) 57-64 http://wwwimviblorg/dmbl/dmblhtm DOI: 075/МК80057A ISSN 0354-6969 (o) ISSN 986-588 (o) STIRLING'S FORMULA AND ITS APPLICATION Šfkt Arslaagić Sarajvo B&H Abstract:

More information

Discrete Fourier Transform (DFT)

Discrete Fourier Transform (DFT) Discrt Fourir Trasorm DFT Major: All Egirig Majors Authors: Duc guy http://umricalmthods.g.us.du umrical Mthods or STEM udrgraduats 8/3/29 http://umricalmthods.g.us.du Discrt Fourir Trasorm Rcalld th xpotial

More information

An Introduction to Asymptotic Expansions

An Introduction to Asymptotic Expansions A Itroductio to Asmptotic Expasios R. Shaar Subramaia Asmptotic xpasios ar usd i aalsis to dscrib th bhavior of a fuctio i a limitig situatio. Wh a fuctio ( x, dpds o a small paramtr, ad th solutio of

More information

Discrete Fourier Transform. Nuno Vasconcelos UCSD

Discrete Fourier Transform. Nuno Vasconcelos UCSD Discrt Fourir Trasform uo Vascoclos UCSD Liar Shift Ivariat (LSI) systms o of th most importat cocpts i liar systms thory is that of a LSI systm Dfiitio: a systm T that maps [ ito y[ is LSI if ad oly if

More information

1973 AP Calculus BC: Section I

1973 AP Calculus BC: Section I 97 AP Calculus BC: Scio I 9 Mius No Calculaor No: I his amiaio, l dos h aural logarihm of (ha is, logarihm o h bas ).. If f ( ) =, h f ( ) = ( ). ( ) + d = 7 6. If f( ) = +, h h s of valus for which f

More information

NET/JRF, GATE, IIT JAM, JEST, TIFR

NET/JRF, GATE, IIT JAM, JEST, TIFR Istitut for NET/JRF, GATE, IIT JAM, JEST, TIFR ad GRE i PHYSICAL SCIENCES Mathmatical Physics JEST-6 Q. Giv th coditio φ, th solutio of th quatio ψ φ φ is giv by k. kφ kφ lφ kφ lφ (a) ψ (b) ψ kφ (c) ψ

More information

Chapter 4 - The Fourier Series

Chapter 4 - The Fourier Series M. J. Robrts - 8/8/4 Chaptr 4 - Th Fourir Sris Slctd Solutios (I this solutio maual, th symbol,, is usd for priodic covolutio bcaus th prfrrd symbol which appars i th txt is ot i th fot slctio of th word

More information

UNIT 2: MATHEMATICAL ENVIRONMENT

UNIT 2: MATHEMATICAL ENVIRONMENT UNIT : MATHEMATICAL ENVIRONMENT. Itroductio This uit itroducs som basic mathmatical cocpts ad rlats thm to th otatio usd i th cours. Wh ou hav workd through this uit ou should: apprciat that a mathmatical

More information

Ordinary Differential Equations

Ordinary Differential Equations Basi Nomlatur MAE 0 all 005 Egirig Aalsis Ltur Nots o: Ordiar Diffrtial Equatios Author: Profssor Albrt Y. Tog Tpist: Sakurako Takahashi Cosidr a gral O. D. E. with t as th idpdt variabl, ad th dpdt variabl.

More information

Thomas J. Osler. 1. INTRODUCTION. This paper gives another proof for the remarkable simple

Thomas J. Osler. 1. INTRODUCTION. This paper gives another proof for the remarkable simple 5/24/5 A PROOF OF THE CONTINUED FRACTION EXPANSION OF / Thomas J Oslr INTRODUCTION This ar givs aothr roof for th rmarkabl siml cotiud fractio = 3 5 / Hr is ay ositiv umbr W us th otatio x= [ a; a, a2,

More information

Chapter (8) Estimation and Confedence Intervals Examples

Chapter (8) Estimation and Confedence Intervals Examples Chaptr (8) Estimatio ad Cofdc Itrvals Exampls Typs of stimatio: i. Poit stimatio: Exampl (1): Cosidr th sampl obsrvatios, 17,3,5,1,18,6,16,10 8 X i i1 17 3 5 118 6 16 10 116 X 14.5 8 8 8 14.5 is a poit

More information

Student s Printed Name:

Student s Printed Name: Studt s Pritd Nam: Istructor: CUID: Sctio: Istructios: You ar ot prmittd to us a calculator o ay portio of this tst. You ar ot allowd to us a txtbook, ots, cll pho, computr, or ay othr tchology o ay portio

More information

Digital Signal Processing, Fall 2006

Digital Signal Processing, Fall 2006 Digital Sigal Procssig, Fall 6 Lctur 9: Th Discrt Fourir Trasfor Zhg-Hua Ta Dpartt of Elctroic Systs Aalborg Uivrsity, Dar zt@o.aau.d Digital Sigal Procssig, I, Zhg-Hua Ta, 6 Cours at a glac MM Discrt-ti

More information

APPENDIX: STATISTICAL TOOLS

APPENDIX: STATISTICAL TOOLS I. Nots o radom samplig Why do you d to sampl radomly? APPENDI: STATISTICAL TOOLS I ordr to masur som valu o a populatio of orgaisms, you usually caot masur all orgaisms, so you sampl a subst of th populatio.

More information

Class #24 Monday, April 16, φ φ φ

Class #24 Monday, April 16, φ φ φ lass #4 Moday, April 6, 08 haptr 3: Partial Diffrtial Equatios (PDE s First of all, this sctio is vry, vry difficult. But it s also supr cool. PDE s thr is mor tha o idpdt variabl. Exampl: φ φ φ φ = 0

More information

Ordinary Differential Equations

Ordinary Differential Equations Ordiary Diffrtial Equatio Aftr radig thi chaptr, you hould b abl to:. dfi a ordiary diffrtial quatio,. diffrtiat btw a ordiary ad partial diffrtial quatio, ad. Solv liar ordiary diffrtial quatio with fid

More information

(Reference: sections in Silberberg 5 th ed.)

(Reference: sections in Silberberg 5 th ed.) ALE. Atomic Structur Nam HEM K. Marr Tam No. Sctio What is a atom? What is th structur of a atom? Th Modl th structur of a atom (Rfrc: sctios.4 -. i Silbrbrg 5 th d.) Th subatomic articls that chmists

More information

10. Joint Moments and Joint Characteristic Functions

10. Joint Moments and Joint Characteristic Functions 0 Joit Momts ad Joit Charactristic Fctios Followig sctio 6 i this sctio w shall itrodc varios paramtrs to compactly rprst th iformatio cotaid i th joit pdf of two rvs Giv two rvs ad ad a fctio g x y dfi

More information

ln x = n e = 20 (nearest integer)

ln x = n e = 20 (nearest integer) H JC Prlim Solutios 6 a + b y a + b / / dy a b 3/ d dy a b at, d Giv quatio of ormal at is y dy ad y wh. d a b () (,) is o th curv a+ b () y.9958 Qustio Solvig () ad (), w hav a, b. Qustio d.77 d d d.77

More information

Triple Play: From De Morgan to Stirling To Euler to Maclaurin to Stirling

Triple Play: From De Morgan to Stirling To Euler to Maclaurin to Stirling Tripl Play: From D Morga to Stirlig To Eulr to Maclauri to Stirlig Augustus D Morga (186-1871) was a sigificat Victoria Mathmaticia who mad cotributios to Mathmatics History, Mathmatical Rcratios, Mathmatical

More information

Discrete Fourier Transform. Discrete Fourier Transform. Discrete Fourier Transform. Discrete Fourier Transform. Discrete Fourier Transform

Discrete Fourier Transform. Discrete Fourier Transform. Discrete Fourier Transform. Discrete Fourier Transform. Discrete Fourier Transform Discrt Fourir Trasform Dfiitio - T simplst rlatio btw a lt- squc x dfid for ω ad its DTFT X ( ) is ω obtaid by uiformly sampli X ( ) o t ω-axis btw ω < at ω From t dfiitio of t DTFT w tus av X X( ω ) ω

More information

Taylor and Maclaurin Series

Taylor and Maclaurin Series Taylor ad Maclauri Sris Taylor ad Maclauri Sris Thory sctio which dals with th followig topics: - Th Sigma otatio for summatio. - Dfiitio of Taylor sris. - Commo Maclauri sris. - Taylor sris ad Itrval

More information

Lectures 9 IIR Systems: First Order System

Lectures 9 IIR Systems: First Order System EE3054 Sigals ad Systms Lcturs 9 IIR Systms: First Ordr Systm Yao Wag Polytchic Uivrsity Som slids icludd ar xtractd from lctur prstatios prpard by McCllla ad Schafr Lics Ifo for SPFirst Slids This work

More information

y = 2xe x + x 2 e x at (0, 3). solution: Since y is implicitly related to x we have to use implicit differentiation: 3 6y = 0 y = 1 2 x ln(b) ln(b)

y = 2xe x + x 2 e x at (0, 3). solution: Since y is implicitly related to x we have to use implicit differentiation: 3 6y = 0 y = 1 2 x ln(b) ln(b) 4. y = y = + 5. Find th quation of th tangnt lin for th function y = ( + ) 3 whn = 0. solution: First not that whn = 0, y = (1 + 1) 3 = 8, so th lin gos through (0, 8) and thrfor its y-intrcpt is 8. y

More information

Law of large numbers

Law of large numbers Law of larg umbrs Saya Mukhrj W rvisit th law of larg umbrs ad study i som dtail two typs of law of larg umbrs ( 0 = lim S ) p ε ε > 0, Wak law of larrg umbrs [ ] S = ω : lim = p, Strog law of larg umbrs

More information

Technical Support Document Bias of the Minimum Statistic

Technical Support Document Bias of the Minimum Statistic Tchical Support Documt Bias o th Miimum Stattic Itroductio Th papr pla how to driv th bias o th miimum stattic i a radom sampl o siz rom dtributios with a shit paramtr (also kow as thrshold paramtr. Ths

More information

Where k is either given or determined from the data and c is an arbitrary constant.

Where k is either given or determined from the data and c is an arbitrary constant. Exponntial growth and dcay applications W wish to solv an quation that has a drivativ. dy ky k > dx This quation says that th rat of chang of th function is proportional to th function. Th solution is

More information

Washington State University

Washington State University he 3 Ktics ad Ractor Dsig Sprg, 00 Washgto Stat Uivrsity Dpartmt of hmical Egrg Richard L. Zollars Exam # You will hav o hour (60 muts) to complt this xam which cosists of four (4) problms. You may us

More information

CDS 101: Lecture 5.1 Reachability and State Space Feedback

CDS 101: Lecture 5.1 Reachability and State Space Feedback CDS, Lctur 5. CDS : Lctur 5. Rachability ad Stat Spac Fdback Richard M. Murray ad Hido Mabuchi 5 Octobr 4 Goals: Di rachability o a cotrol systm Giv tsts or rachability o liar systms ad apply to ampls

More information

WBJEEM MATHEMATICS. Q.No. μ β γ δ 56 C A C B

WBJEEM MATHEMATICS. Q.No. μ β γ δ 56 C A C B WBJEEM - MATHEMATICS Q.No. μ β γ δ C A C B B A C C A B C A B B D B 5 A C A C 6 A A C C 7 B A B D 8 C B B C 9 A C A A C C A B B A C A B D A C D A A B C B A A 5 C A C B 6 A C D C 7 B A C A 8 A A A A 9 A

More information

ASSERTION AND REASON

ASSERTION AND REASON ASSERTION AND REASON Som qustios (Assrtio Rso typ) r giv low. Ech qustio cotis Sttmt (Assrtio) d Sttmt (Rso). Ech qustio hs choics (A), (B), (C) d (D) out of which ONLY ONE is corrct. So slct th corrct

More information

CDS 101: Lecture 5.1 Reachability and State Space Feedback

CDS 101: Lecture 5.1 Reachability and State Space Feedback CDS, Lctur 5. CDS : Lctur 5. Rachability ad Stat Spac Fdback Richard M. Murray 7 Octobr 3 Goals: Di rachability o a cotrol systm Giv tsts or rachability o liar systms ad apply to ampls Dscrib th dsig o

More information

National Quali cations

National Quali cations PRINT COPY OF BRAILLE Ntiol Quli ctios AH08 X747/77/ Mthmtics THURSDAY, MAY INSTRUCTIONS TO CANDIDATES Cdidts should tr thir surm, form(s), dt of birth, Scottish cdidt umbr d th m d Lvl of th subjct t

More information

2617 Mark Scheme June 2005 Mark Scheme 2617 June 2005

2617 Mark Scheme June 2005 Mark Scheme 2617 June 2005 Mark Schm 67 Ju 5 GENERAL INSTRUCTIONS Marks i th mark schm ar plicitly dsigatd as M, A, B, E or G. M marks ("mthod" ar for a attmpt to us a corrct mthod (ot mrly for statig th mthod. A marks ("accuracy"

More information

Solution to 1223 The Evil Warden.

Solution to 1223 The Evil Warden. Solutio to 1 Th Evil Ward. This is o of thos vry rar PoWs (I caot thik of aothr cas) that o o solvd. About 10 of you submittd th basic approach, which givs a probability of 47%. I was shockd wh I foud

More information

Problem Value Score Earned No/Wrong Rec -3 Total

Problem Value Score Earned No/Wrong Rec -3 Total GEORGIA INSTITUTE OF TECHNOLOGY SCHOOL of ELECTRICAL & COMPUTER ENGINEERING ECE6 Fall Quiz # Writt Eam Novmr, NAME: Solutio Kys GT Usram: LAST FIRST.g., gtiit Rcitatio Sctio: Circl t dat & tim w your Rcitatio

More information

7. Differentiation of Trigonometric Function

7. Differentiation of Trigonometric Function 7. Diffrtiatio of Trigootric Fctio RADIAN MEASURE. Lt s ot th lgth of arc AB itrcpt y th ctral agl AOB o a circl of rais r a lt S ot th ara of th sctor AOB. (If s is /60 of th circfrc, AOB = 0 ; if s =

More information

How many neutrino species?

How many neutrino species? ow may utrio scis? Two mthods for dtrmii it lium abudac i uivrs At a collidr umbr of utrio scis Exasio of th uivrs is ovrd by th Fridma quatio R R 8G tot Kc R Whr: :ubblcostat G :Gravitatioal costat 6.

More information

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by D. Klain Vrsion 207.0.05 Corrctions and commnts ar wlcom. Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix A A k I + A + k!

More information

Blackbody Radiation. All bodies at a temperature T emit and absorb thermal electromagnetic radiation. How is blackbody radiation absorbed and emitted?

Blackbody Radiation. All bodies at a temperature T emit and absorb thermal electromagnetic radiation. How is blackbody radiation absorbed and emitted? All bodis at a tmpratur T mit ad absorb thrmal lctromagtic radiatio Blackbody radiatio I thrmal quilibrium, th powr mittd quals th powr absorbd How is blackbody radiatio absorbd ad mittd? 1 2 A blackbody

More information

CHAPTER 10 INFINITE SEQUENCES AND SERIES

CHAPTER 10 INFINITE SEQUENCES AND SERIES CHAPTER 10 INFINITE SEQUENCES AND SERIES 10.1 Sequeces 10.2 Ifiite Series 10.3 The Itegral Tests 10.4 Compariso Tests 10.5 The Ratio ad Root Tests 10.6 Alteratig Series: Absolute ad Coditioal Covergece

More information

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by Dan Klain Vrsion 28928 Corrctions and commnts ar wlcom Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix () A A k I + A + k!

More information

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

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 SOLVED EXAMPLES E. If f() E.,,, th f() f() h h LHL RHL, so / / Lim f() quls - (D) Dos ot ist [( h)+] [(+h) + ] f(). LHL E. RHL h h h / h / h / h / h / h / h As.[C] (D) Dos ot ist LHL RHL, so giv it dos

More information

Chapter 1. Chapter 10. Chapter 2. Chapter 11. Chapter 3. Chapter 12. Chapter 4. Chapter 13. Chapter 5. Chapter 14. Chapter 6. Chapter 7.

Chapter 1. Chapter 10. Chapter 2. Chapter 11. Chapter 3. Chapter 12. Chapter 4. Chapter 13. Chapter 5. Chapter 14. Chapter 6. Chapter 7. Chaptr Binomial Epansion Chaptr 0 Furthr Probability Chaptr Limits and Drivativs Chaptr Discrt Random Variabls Chaptr Diffrntiation Chaptr Discrt Probability Distributions Chaptr Applications of Diffrntiation

More information

ONLINE SUPPLEMENT Optimal Markdown Pricing and Inventory Allocation for Retail Chains with Inventory Dependent Demand

ONLINE SUPPLEMENT Optimal Markdown Pricing and Inventory Allocation for Retail Chains with Inventory Dependent Demand Submittd to Maufacturig & Srvic Opratios Maagmt mauscript MSOM 5-4R2 ONLINE SUPPLEMENT Optimal Markdow Pricig ad Ivtory Allocatio for Rtail Chais with Ivtory Dpdt Dmad Stph A Smith Dpartmt of Opratios

More information

A Review of Complex Arithmetic

A Review of Complex Arithmetic /0/005 Rviw of omplx Arithmti.do /9 A Rviw of omplx Arithmti A omplx valu has both a ral ad imagiary ompot: { } ad Im{ } a R b so that w a xprss this omplx valu as: whr. a + b Just as a ral valu a b xprssd

More information

5.1 The Nuclear Atom

5.1 The Nuclear Atom Sav My Exams! Th Hom of Rvisio For mor awsom GSE ad lvl rsourcs, visit us at www.savmyxams.co.uk/ 5.1 Th Nuclar tom Qustio Papr Lvl IGSE Subjct Physics (0625) Exam oard Topic Sub Topic ooklt ambridg Itratioal

More information

Session : Plasmas in Equilibrium

Session : Plasmas in Equilibrium Sssio : Plasmas i Equilibrium Ioizatio ad Coductio i a High-prssur Plasma A ormal gas at T < 3000 K is a good lctrical isulator, bcaus thr ar almost o fr lctros i it. For prssurs > 0.1 atm, collisio amog

More information

An Introduction to Asymptotic Expansions

An Introduction to Asymptotic Expansions A Itroductio to Asmptotic Expasios R. Shaar Subramaia Dpartmt o Chmical ad Biomolcular Egirig Clarso Uivrsit Asmptotic xpasios ar usd i aalsis to dscrib th bhavior o a uctio i a limitig situatio. Wh a

More information

Outline. Ionizing Radiation. Introduction. Ionizing radiation

Outline. Ionizing Radiation. Introduction. Ionizing radiation Outli Ioizig Radiatio Chaptr F.A. Attix, Itroductio to Radiological Physics ad Radiatio Dosimtry Radiological physics ad radiatio dosimtry Typs ad sourcs of ioizig radiatio Dscriptio of ioizig radiatio

More information

Numerov-Cooley Method : 1-D Schr. Eq. Last time: Rydberg, Klein, Rees Method and Long-Range Model G(v), B(v) rotation-vibration constants.

Numerov-Cooley Method : 1-D Schr. Eq. Last time: Rydberg, Klein, Rees Method and Long-Range Model G(v), B(v) rotation-vibration constants. Numrov-Cooly Mthod : 1-D Schr. Eq. Last tim: Rydbrg, Kli, Rs Mthod ad Log-Rag Modl G(v), B(v) rotatio-vibratio costats 9-1 V J (x) pottial rgy curv x = R R Ev,J, v,j, all cocivabl xprimts wp( x, t) = ai

More information

Chapter 11.00C Physical Problem for Fast Fourier Transform Civil Engineering

Chapter 11.00C Physical Problem for Fast Fourier Transform Civil Engineering haptr. Physical Problm for Fast Fourir Trasform ivil Egirig Itroductio I this chaptr, applicatios of FFT algorithms [-5] for solvig ral-lif problms such as computig th dyamical (displacmt rspos [6-7] of

More information

Chapter 9 Infinite Series

Chapter 9 Infinite Series Sctio 9. 77. Cotiud d + d + C Ar lim b lim b b b + b b lim + b b lim + b b 6. () d (b) lim b b d (c) Not tht d c b foud by prts: d ( ) ( ) d + C. b Ar b b lim d lim b b b b lim ( b + ). b dy 7. () π dy

More information

15/03/1439. Lectures on Signals & systems Engineering

15/03/1439. Lectures on Signals & systems Engineering Lcturs o Sigals & syms Egirig Dsigd ad Prd by Dr. Ayma Elshawy Elsfy Dpt. of Syms & Computr Eg. Al-Azhar Uivrsity Email : aymalshawy@yahoo.com A sigal ca b rprd as a liar combiatio of basic sigals. Th

More information

Hadamard Exponential Hankel Matrix, Its Eigenvalues and Some Norms

Hadamard Exponential Hankel Matrix, Its Eigenvalues and Some Norms Math Sci Ltt Vol No 8-87 (0) adamard Exotial al Matrix, Its Eigvalus ad Som Norms İ ad M bula Mathmatical Scics Lttrs Itratioal Joural @ 0 NSP Natural Scics Publishig Cor Dartmt of Mathmatics, aculty of

More information

FORBIDDING RAINBOW-COLORED STARS

FORBIDDING RAINBOW-COLORED STARS FORBIDDING RAINBOW-COLORED STARS CARLOS HOPPEN, HANNO LEFMANN, KNUT ODERMANN, AND JULIANA SANCHES Abstract. W cosidr a xtrmal problm motivatd by a papr of Balogh [J. Balogh, A rmark o th umbr of dg colorigs

More information

Differentiation of Exponential Functions

Differentiation of Exponential Functions Calculus Modul C Diffrntiation of Eponntial Functions Copyright This publication Th Northrn Albrta Institut of Tchnology 007. All Rights Rsrvd. LAST REVISED March, 009 Introduction to Diffrntiation of

More information

Linear Algebra Existence of the determinant. Expansion according to a row.

Linear Algebra Existence of the determinant. Expansion according to a row. Lir Algbr 2270 1 Existc of th dtrmit. Expsio ccordig to row. W dfi th dtrmit for 1 1 mtrics s dt([]) = (1) It is sy chck tht it stisfis D1)-D3). For y othr w dfi th dtrmit s follows. Assumig th dtrmit

More information

Narayana IIT Academy

Narayana IIT Academy INDIA Sc: LT-IIT-SPARK Dat: 9--8 6_P Max.Mars: 86 KEY SHEET PHYSIS A 5 D 6 7 A,B 8 B,D 9 A,B A,,D A,B, A,B B, A,B 5 A 6 D 7 8 A HEMISTRY 9 A B D B B 5 A,B,,D 6 A,,D 7 B,,D 8 A,B,,D 9 A,B, A,B, A,B,,D A,B,

More information

10. Limits involving infinity

10. Limits involving infinity . Limits involving infinity It is known from th it ruls for fundamntal arithmtic oprations (+,-,, ) that if two functions hav finit its at a (finit or infinit) point, that is, thy ar convrgnt, th it of

More information

Partition Functions and Ideal Gases

Partition Functions and Ideal Gases Partitio Fuctios ad Idal Gass PFIG- You v lard about partitio fuctios ad som uss ow w ll xplor tm i mor dpt usig idal moatomic diatomic ad polyatomic gass! for w start rmmbr: Q( N ( N! N Wat ar N ad? W

More information

Derivation of a Predictor of Combination #1 and the MSE for a Predictor of a Position in Two Stage Sampling with Response Error.

Derivation of a Predictor of Combination #1 and the MSE for a Predictor of a Position in Two Stage Sampling with Response Error. Drivatio of a Prdictor of Cobiatio # ad th SE for a Prdictor of a Positio i Two Stag Saplig with Rspos Error troductio Ed Stak W driv th prdictor ad its SE of a prdictor for a rado fuctio corrspodig to

More information

u x v x dx u x v x v x u x dx d u x v x u x v x dx u x v x dx Integration by Parts Formula

u x v x dx u x v x v x u x dx d u x v x u x v x dx u x v x dx Integration by Parts Formula 7. Intgration by Parts Each drivativ formula givs ris to a corrsponding intgral formula, as w v sn many tims. Th drivativ product rul yilds a vry usful intgration tchniqu calld intgration by parts. Starting

More information

Restricted Factorial And A Remark On The Reduced Residue Classes

Restricted Factorial And A Remark On The Reduced Residue Classes Applid Mathmatics E-Nots, 162016, 244-250 c ISSN 1607-2510 Availabl fr at mirror sits of http://www.math.thu.du.tw/ am/ Rstrictd Factorial Ad A Rmark O Th Rducd Rsidu Classs Mhdi Hassai Rcivd 26 March

More information

Higher order derivatives

Higher order derivatives Robrto s Nots on Diffrntial Calculus Chaptr 4: Basic diffrntiation ruls Sction 7 Highr ordr drivativs What you nd to know alrady: Basic diffrntiation ruls. What you can larn hr: How to rpat th procss of

More information

NEW VERSION OF SZEGED INDEX AND ITS COMPUTATION FOR SOME NANOTUBES

NEW VERSION OF SZEGED INDEX AND ITS COMPUTATION FOR SOME NANOTUBES Digst Joural of Naomatrials ad Biostructurs Vol 4, No, March 009, p 67-76 NEW VERSION OF SZEGED INDEX AND ITS COMPUTATION FOR SOME NANOTUBES A IRANMANESH a*, O KHORMALI b, I NAJAFI KHALILSARAEE c, B SOLEIMANI

More information

National Quali cations

National Quali cations Ntiol Quli ctios AH07 X77/77/ Mthmtics FRIDAY, 5 MAY 9:00 AM :00 NOON Totl mrks 00 Attmpt ALL qustios. You my us clcultor. Full crdit will b giv oly to solutios which coti pproprit workig. Stt th uits

More information

CHAPTER CHAPTER. Discrete Dynamical Systems. 9.1 Iterative Equations. First-Order Iterative Equations. (b)

CHAPTER CHAPTER. Discrete Dynamical Systems. 9.1 Iterative Equations. First-Order Iterative Equations. (b) CHAPTER CHAPTER 9 Discrt Damical Sstms 9. Itrativ Equatios First-Ordr Itrativ Equatios For Problms - w us th fact that th solutio of = + a + b is a = a + b. a. = + + = (a),(c) Bcaus a=, b=, =, = + = 5

More information

Precalculus MATH Sections 3.1, 3.2, 3.3. Exponential, Logistic and Logarithmic Functions

Precalculus MATH Sections 3.1, 3.2, 3.3. Exponential, Logistic and Logarithmic Functions Precalculus MATH 2412 Sectios 3.1, 3.2, 3.3 Epoetial, Logistic ad Logarithmic Fuctios Epoetial fuctios are used i umerous applicatios coverig may fields of study. They are probably the most importat group

More information

COMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES

COMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES COMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES DEFINITION OF A COMPLEX NUMBER: A umbr of th form, whr = (, ad & ar ral umbrs s calld a compl umbr Th ral umbr, s calld ral part of whl s calld

More information

First derivative analysis

First derivative analysis Robrto s Nots on Dirntial Calculus Chaptr 8: Graphical analysis Sction First drivativ analysis What you nd to know alrady: How to us drivativs to idntiy th critical valus o a unction and its trm points

More information

ENGG 1203 Tutorial. Difference Equations. Find the Pole(s) Finding Equations and Poles

ENGG 1203 Tutorial. Difference Equations. Find the Pole(s) Finding Equations and Poles ENGG 03 Tutoial Systms ad Cotol 9 Apil Laig Obctivs Z tasfom Complx pols Fdbac cotol systms Ac: MIT OCW 60, 6003 Diffc Equatios Cosid th systm pstd by th followig diffc quatio y[ ] x[ ] (5y[ ] 3y[ ]) wh

More information

CORRECTIONS TO THE WU-SPRUNG POTENTIAL FOR THE RIEMANN ZEROS AND A NEW HAMILTONIAN WHOSE ENERGIES ARE THE PRIME NUMBERS

CORRECTIONS TO THE WU-SPRUNG POTENTIAL FOR THE RIEMANN ZEROS AND A NEW HAMILTONIAN WHOSE ENERGIES ARE THE PRIME NUMBERS CORRECTIONS TO THE WU-SPRUNG POTENTIAL FOR THE RIEMANN ZEROS AND A NEW HAMILTONIAN WHOSE ENERGIES ARE THE PRIME NUMBERS Jos Javir Garcia Morta Graduat studt of Physics at th UPV/EHU (Uivrsity of Basqu

More information

A Propagating Wave Packet Group Velocity Dispersion

A Propagating Wave Packet Group Velocity Dispersion Lctur 8 Phys 375 A Propagating Wav Packt Group Vlocity Disprsion Ovrviw and Motivation: In th last lctur w lookd at a localizd solution t) to th 1D fr-particl Schrödingr quation (SE) that corrsponds to

More information

Chapter 3 Fourier Series Representation of Periodic Signals

Chapter 3 Fourier Series Representation of Periodic Signals Chptr Fourir Sris Rprsttio of Priodic Sigls If ritrry sigl x(t or x[] is xprssd s lir comitio of som sic sigls th rspos of LI systm coms th sum of th idividul rsposs of thos sic sigls Such sic sigl must:

More information

Bipolar Junction Transistors

Bipolar Junction Transistors ipolar Juctio Trasistors ipolar juctio trasistors (JT) ar activ 3-trmial dvics with aras of applicatios: amplifirs, switch tc. high-powr circuits high-spd logic circuits for high-spd computrs. JT structur:

More information

Things I Should Know Before I Get to Calculus Class

Things I Should Know Before I Get to Calculus Class Things I Should Know Bfor I Gt to Calculus Class Quadratic Formula = b± b 4ac a sin + cos = + tan = sc + cot = csc sin( ± y ) = sin cos y ± cos sin y cos( + y ) = cos cos y sin sin y cos( y ) = cos cos

More information