Mean Value Theorem for Integrals If f(x) is a continuous function on [a,b] then there

Size: px
Start display at page:

Download "Mean Value Theorem for Integrals If f(x) is a continuous function on [a,b] then there"

Transcription

1 Itegrtio, Prt 5: The Me Vlue Theorem for Itegrls d the Fudmetl Theorem of Clculus, Prt The me vlue theorem for derivtives tells us tht if fuctio f() is sufficietly ice over the itervl [,] the t some poit its istteous rte of chge is equl to its verge rte of chge. Viewed geometriclly, this mes tht the slope of the tget lie t tht poit is equl to the slope of the sect lie coectig the edpoits. (See picture.) There is similr theorem for itegrls. Not surprisigly, it is clled the Me Vlue Theorem for Itegrls. While the Me Vlue Theorem for derivtives tells us tht the rte of chge chieves its verge vlue, the Me Vlue Theorem for Itegrls essetilly tells us tht the fuctio itself chieves its verge vlue. We stte the theorem elow d the tke look t just wht we might me y the verge vlue of fuctio. Me Vlue Theorem for Itegrls If f() is cotiuous fuctio o [,] the there is t lest oe poit * i [,] such tht f ( ) d ( ) f ( *). At first glce this my seem to hve othig to do with verge vlues, ut the theorem is essetilly syig tht f(*) is the verge vlue of the fuctio over the itervl [,]. Geometric iterprettio: We kow tht f ( ) d is the siged re etwee the grph of f() d the -is. Are is determied y se d height. The se of this regio is the itervl [,] log the -is. The height vries sice height is determied y the fuctio vlues f(). We c thik of the verge fuctio vlue s the verge height of our re. The otio of verge is essetilly oe of eveig thigs out. We kow we clculte the verge of list of umers y ddig them ll up d dividig y the umer of terms. For emple, if oe wom hd $50, oe hd $75, d oe hd $00, we c clculte the verge s follows: $50 $75 $00 $5 $75. The verge

2 mout of moey the three wome hs is $75. Note tht this is the mout tht EACH wom WOULD hve if they still hd $5 etwee them ut ll hd the sme mout. This could e ccomplished if the rich wom were to give $5 to the poor wom. Averges re the Commuism of mth. Geometriclly, we c visulize the ide of eveig thigs out. As we c see i the emple elow, the height of f() my vry gretly over the itervl [,]. This mes tht the re uder the curve is ot evely distriuted there s more re i the regios where the height is ig. Imgie tht the re is mde up of cly or some other mllele sustce. Eveig thigs out would cosist of squshig the plces where the fuctio is uduly tll. This would force some of the re to spill ito the other regios util ll regios hd the sme height. The et result would e rectgle the totl re would e the sme, ut ow it would e evely distriuted over the itervl [,]. We c thik of the height of this rectgle s the verge height over the itervl. Algeric iterprettio : The lgeric otio of me or verge is the sum divided y the umer of terms. Clcultig me is two-step process:. Add up ll the terms.. Divide y the umer of terms. Thus the verge y-vlue of fuctio o itervl should just e the sum of ll of the y-vlues divided y the umer of y-vlues. The prolem is tht there re ifiite umer of y-vlues fuctio chieves o y give itervl--oe for ech -vlue. (Note tht if fuctio hs the sme y-vlue t two or more differet -vlues we shll still cout these s distict vlues. Similrly, i clcultig verge of fiite umer of terms it is possile tht two or more of the terms will e the sme.) This fct cretes prolem i oth steps of clcultig the me: we c t dd up ifiite umer of y- vlues d we c t divide y ifiity. While we c t dd up ifiite umer of terms, we hve see tht we c tke the limit s we dd up more d more terms. This is wht we do i tkig the limit of Riem sum. Usig similr logic, we might thik of pproimtig the verge y This is i fct very simplistic iterprettio of Commuism d I could sped pges critiquig it, ut I will limit myself to poitig out oe ovious flw. Oe of the teets of Commuism is (I m prphrsig here) from ech ccordig to [her] ility, to ech ccordig to [her] eed. This does ot me tht everyoe will hve ectly the sme mout of moey sice people could coceivly hve differet eeds. However, if we dd the hypothesis tht the three wome i our emple ll hve the sme eed for moey, the this would e (etremely simplified) emple of Commuism t work. I m ideted to Dr. Al Weistei of UC Berkeley for this epltio. 6

3 vlue y ddig up LOTS of y-vlues d dividig y the umer of terms. The we could clculte the true verge y tkig the limit s the umer of terms wet to ifiity. To keep thigs (reltively) simple, let us suppose tht we hve chopped the itervl [,] ito equl pieces d we will choose represettive -vlue from ech resultig suitervl. We c the clculte the correspodig y-vlues, f( * k ), d tke the verge of them. This will ivolve ddig the y-vlues d the dividig y the umer of terms,. The first step, ddig up the y-vlues, is very similr to wht we do i clcultig Riem sum. The oly differece is tht ow we re ddig just the heights, ot the res, so we do ot multiply y the se efore ddig the y-vlues. We get: me y-vlue k f * ( k ) Of course if we ve oly couted y-vlues whe there re ifiitely my, we ve missed quite few o mtter how lrge is. Idelly we wt to cout ALL the y-vlues. So it seems logicl to let go to ifiity. If we follow this logic * f( k ) k me y-vlue= lim As is so ofte the cse, this limit ecomes esier to evlute if we multiply y coveiet form of ; i this cse we multiply y i the form d the rerrge the multiplictio to get: * * f ( k) f ( k) k k * f k k lim lim lim ( ) Sice is costt (it s just the reciprocl of the legth of our itervl) we c fctor it out of the limit to get lim ( * f k ) k Filly, we recogize tht the remiig sum c e iterpreted s sum of res of rectgles with se d height f( * k ). As such, it is Riem sum formed usig regulr prtitio d so its limit s goes to ifiity is equl to defiite itegrl. Thus * me y-vlue = lim f ( k) f ( ) d k limit of Riem sum Note tht this is cosistet with our geometric iterprettio: * k 6

4 f ( ) d totl re me y-vlue = verge height = () se The ove discussios do t prove ythig. The otio of me or verge vlue is oly defied for fiite umer of terms so it is ot possile to prove wht it ought to e whe there re ifiitely my vlues to cosider. We eed ew defiitio. We will tke () to e our defiitio of the me y-vlue of cotiuous fuctio o [,]. The preceedig discussios DO idicte tht this choice for defiitio is good oe, sice it is cosistet with our epecttios for wht verge ought to me. With this defiitio of me y-vlue we see tht the Me Vlue Theorem simply sttes tht there must e some -vlue i the itervl where this verge vlue is chieved. This we c prove, d we do so elow: Proof of the Me Vlue Theorem for Itegrls: Sice f() is cotious o [,], the Etreme Vlue Theorem tells us tht it chieves miimum vlue m d mimum vlue M o this itervl. Thus m f ( ) M for ll i [,] If we cosider the costt fuctios y = m d y = M we c pply Theorem to see tht md f ( ) d Md (3) (Recll tht Theorem tells us tht the fuctio with the igger height will hve the igger re. See picture.) re of little rectgle < re uder curve < re of ig rectgle 63

5 As the picture shows, the itegrl of costt fuctio is just the re of rectgle so we c evlute the first d lst itegrls esily. (3) is equivlet to: m(-) f ( ) d M(-) (4) Dividig ech piece y (-) we get f ( ) d m M (5) Tht is, our me y-vlue is trpped etwee m d M. Now m d M re oth y-vlues tht f() chieves o the itervl [,]. Tht is, there must e some poit m such tht f( m) m d other poit M such tht f ( M ) M, so iequlity (5) is equivlet to f ( ) d f ( m) f ( M) Further, we kow tht f() is cotious o the etire itervl [,], d thus o the (possily smller) itervl etwee d --ote tht this itervl will e either, or, m M M m m depedig o which -vlue is igger. I the picture elow I illustrte the first possiility. M Itermedite Vlue Theorem t work: it is ot possile to coect the dots with cotiuous fuctio without crossig the dotted lie. 64

6 Thus the two hypotheses of the Itermedite Vlue Theorem re met. Sice cotious fuctios c t get from here to there without goig through wht s i etwee we kow y IVT there is poit * etwee d such tht f ( ) d f(*)=. This is precisely wht the Me Vlue Theorem for Itegrls sttes: there is some -vlue t which the verge y-vlue is chieved. Note tht while we ssumed tht <, the theorem holds if < s well. I this cse (-) is egtive, which is pproprite sice if < we re itegrtig right to left d thus coutig the se s egtive. If = oth sides of the MVT reduce to 0, so the theorem holds i this cse s well. (However, i this cse we c t divide y - d must e sure to use the oed versio of the theorem. Note tht i this cse the theorem is orig; it tlks out the verge of sigle vlue.) Emple : ) Fid the verge vlue of the fuctio f()= o the itervl [0,4]. ) Verify tht the Me Vlue Theorem for Itegrls holds for this fuctio y fidig -vlue i [0,4] whose fuctio vlue is the vlue you fid i prt (). () Accordig to our defiitio (), the verge y-vlue is totl re d d se () We eed to fid -vlue etwee 0 d 4 whose y-vlue is 4 3 : 4 Solve for y squrig oth sides Note tht this is etwee 0 d 4. 9 The Fudmetl Theorem of Clculus, prt Prt of the Fudmetl Theorem of Clculus tells us tht for cotiuous fuctio f(), f ( ) d F( ) F( ), where F() is tiderivtive of f(). Tht is, whe we itegrte derivtive, we get the origil fuctio ck, evluted t the edpoits. Omittig the fier detils, loose trsltio of the FTC prt is the itegrl of the derivtive is the origil. Tht is, the processes of itegrtig d differetitig re i some wy opposite processes tht udo ech other. We hve come cross the otio of opposite processes udoig ech other 3 3 previously, i delig with iverse fuctios. For emple, y d y = re iverse fuctios. To cue somethig is the opposite of tkig its cue root d these processes udo ech other i the sese tht if I perform oe d the the other, I will e ck to the origil umer I strted with. We epress this through the compositio rules: m M 65

7 f ( f ( )) d f ( f ( )) Whe we compose iverse fuctios IN EITHER ORDER they ccel ech other out, levig us with our origil iput. It is iterestig to see whether similr sttemet holds for the processes of itegrtig d differetitig. FTC, prt, roughly spekig, sys the itegrl of the derivtive is the origil. Tht is, if you differetite first d the itegrte, you ll get ck to the fuctio you strted with. Let us cosider wht hppes if we reverse the order of our opertios: wht is the derivtive of the itegrl? If itegrtio d differetitio re ideed opposite processes, we would epect to get the origil fuctio ck i some wy. Before we ivestigte, we must clrify the questio. There re two types of itegrls to cosider: defiite d idefiite. The defiite itegrl of fuctio is just umer. Tkig the derivtive of umer is ot iterestig we c view umer s costt fuctio, d the derivtive of y costt is 0. O the other hd, the idefiite itegrl is ritrry tiderivtive of our fuctio. It is certily true tht if we tke the derivtive of y tiderivtive of f() we will get f(); this is simply the defiitio of tiderivtive. So here we c see tht the derivtive of the (idefiite) itegrl is the origil. We c ctully fid stroger coectio etwee itegrtio d differetitio if we costruct specific fuctio usig itegrtio. We ll cll such fuctio re fuctio d deote it A(). Costruct it s follows:. Let f(t) e y cotiuous fuctio. We will thik of this s our height fuctio. Note tht it is fuctio of the vrile t, while the re fuctio we re ultimtely defiig will e fuctio of differet vrile,.. Sice the height fuctio is fuctio of t, we re viewig the horizotl is s t is. Imgie lyig dow is directly o top of this t is so tht poits with the sme umeric vlue overlp. Tht is, 3 is i the sme loctio whether we re thikig of this loctio s the plce where =3 or the plce where t=3. This will llow us to use the sme picture to descrie oth f(t), our height fuctio, d A(), our re fuctio. Pick strtig -vlue d cll it. 3. Defie the re fuctio to e A() = f () t dt. Tht is, A() is the re we get y itegrtig our height fuctio from to. Our iput is our edig poit, the upper limit of itegrtio. Our output is the re we get. Everythig else is fied. The strtig poit does ot chge. Neither does the height. This is ot to sy tht the height fuctio does ot vry, ut tht oce the grph of the height fuctio hs ee drw, it s fied. Thik of it this wy: you drw the grph of fuctio f(t) d pick strtig poit,. If you the show your picture to your fried, she will view oth the fuctio d the strtig poit s gives. If you sk her to pick other -vlue to e the edig poit you c the clculte the re uder the curve etwee your strtig poit () d edig poit (the poit your fried picked). The re you get will deped o which poit your fried picks. 66

8 Note tht we must use DIFFERENT vrile for the height d re fuctios. Tht s ecuse the two vriles ply very differet roles. is our edig poit. We itegrte s t vries from our strtig poit to our edig poit. We c t use oe vrile for oth roles. If we did this vrile would hve to simulteously e our edig poit d tke o ll vlues etwee our strtig d edig poits. This does ot mke sese. Emple: Let f(t) = t d pick =. We c the defie A()= t dt. The vlues of A() for =, =, d =0 re show elow with the correspodig res shded t t A() t dt 0 A()= t dt A(0)= t dt (o re) (egtive re sice we re itegrtig right to left) The secod prt of the Fudmetl Theorem of Clculus dels with the derivtive of such re fuctio. Fudmetl Theorem of Clculus, Prt If f(t) is cotiuous fuctio o d itervl cotiig the f ( t) dt f ( ) d o tht itervl. I words, the derivtive of the re fuctio = the height fuctio evluted t the edpoit Thus if f(t) is cotiuous o itervl it will hve tiderivtive o this itervl, mely, the re fuctio: A()= f () t dt where is y poit i the itervl. This is slightly more iterestig wy of syig the derivtive of the itegrl is the origil. Thus differetitio d itegrtio DO ct s opposite processes d ccel ech other out. Note tht we do t quite get ck the origil height fuctio. The height fuctio ws fuctio of t d we get f s fuctio of. Similrly i the first prt of the Fudmetl Theorem, we did t quite get the origil fuctio ck, ut the origil fuctio evluted t the edpoits. These detils rise ecuse we re delig with more complicted opertios th simple fuctios. Differetitio d 67

9 itegrtio re oth opertios i which we plug i FUNCTION d get out either umer or fuctio depedig o which opertio we perform. Noetheless, the similrity to iverse fuctios is oteworthy d highlights the sic priciple: itegrtio d differetitio re essetilly opposites. We will ultimtely prove prt of the Fudmetl Theorem. First, let s look t couple of emples to get more comfortle with ll of the ottio d cocepts. Emple : Let f(t) = Let = Defie the re fuctio A()= tdt ) Use geometry to fid formul for A() tht does ot ivolve the itegrl sig. ) Differetite the formul you get i prt () d verify tht the derivtive is i fct. () We kow tht A() represets the re etwee the lie t d the t-is over the itervl from to. The pictures elow show tht this c tke oe of three forms, depedig o the loctio of : > re=trpezoid positive re sice height is positive d se is positive (we re itegrtig left to right) 0 re=trpezoid (degeerte trpezoid if = 0 or ) egtive re sice height is positive ut se is egtive (we re itegrtig right to left) <0 re=two trigles trigle etwee 0 d is egtive sice height is positive ut se is egtive trigle etwee 0 d is positive sice height d se re oth egtive Sice ll the res re fmilir geometric shpes, we c use formuls from geometry to descrie the re fuctio without usig itegrl ottio. I the clcultios elow I lwys tret the se d height s if they re POSITIVE vlues d the multiply y if the re is supposed to cout s egtive. for >: re of trpezoid = (se)(verge height) 68

10 ( ) for 0 : -re of trpezoid = -(se)(verge height) for <0: re of left trigle re of right trigle ( se)( height) ( se)( height) ( )( ) ()() Sice i ll cses we get the sme formul, we see tht A ( ). ) A () = d. It worked! d ( ) This is the origil height fuctio with t replced y Emple 3: A height fuctio f(t) d strtig poit re show o the grph elow. Defie the re fuctio A()= f () t dt. I this cse, we wo t prove tht the derivtive of the re fuctio is ectly equl to f(), ut we will show tht A () d f() must lwys hve the sme sig. [Note: if we re just delig with the sigle fuctio f, it mkes o differece whether we cll it f() or f(t) these re the sme fuctio with differet mes. The vrile is importt whe we re lso workig with A(). We c see redily where f is positive d where it is egtive d we idicte this o the umer lie elow: f is egtive f is positive f is positive f is egtive c 69

11 While it is certily true tht f is positive o the etire itervl (c,) so tht there is o eed to rek it ito two prts: from c to d from to, it will e more coveiet for us to do so. I clcultig the derivtive of the Are fuctio we re mesurig the rte of chge i the re etwee d. This will e positive if the et re icreses s we move left to right d egtive if the et re decreses s we move left to right. Cse : >. The grph elow show tht the re etwee d will cout s positive d the re to the right of will cout s egtive. Suppose tht is etwee d d imgie movig little it to the right s show elow. I ll of the pictures tht follow I depict h s smll positive umer so tht +h is little it to the right of. Comprig res, we see tht there is more positive re if we use poit little it to the right of. Tht is, the et re icreses s moves to the right. Hece the derivtive will e positive if is etwee d. Oce is pst, we see tht if we move just little further to the right we re ddig o more NEGATIVE re, so tht the et re is decresig d the derivtive of the re fuctio will e egtive if f is to the right of. 70

12 Wht hppes t? As we pss through we stop ddig o positive re d strt ddig o egtive re. This suggests tht right t the et re either icreses or decreses, so tht the derivtive of the re fuctio must e either 0 or udefied. Lookig more closely, we see tht er the height fuctio (f) is very smll. This mes tht chge i re er, whether positive or egtive, is lso very smll. I other words, while the re is chgig, it is t chgig very quickly, so the derivtive will e smll. At it chges from eig smll positive to smll egtive umer. It is resole to thik tht the derivtive t will e 0. Cse : < This cse is slightly more complicted. The picture elow shows tht the re to the left of c will cout s positive d the re etwee c d will cout s egtive. This is ecuse the re fuctio is defied s itegrl FROM TO. If is to the left of we re itegrtig right to left, so the se of our re will cout s egtive. However, i clcultig the derivtive of the re fuctio s fuctio of, we re still skig how the re chges s we move from left to right. Suppose is to the left of c d imgie movig just little to the right. As we see elow, this results i coutig LESS of the positive re, so tht the et re decreses. Thus the derivtive of the re fuctio should e egtive to the left of c. 7

13 If is etwee c d d we move little to the right we see tht this results i coutig LESS NEGATIVE re. This ctully mkes the et re icrese, so the derivtive of the re fuctio should e positive here. Agi, sice the height vlues er c re very smll, it seems resole tht the derivtive t c should e 0 sice s we pss through c the derivtive vlues will chge from eig smll d egtive to eig smll d positive. Cse 3: = As we pss through we stop coutig LESS NEGATIVE re d egi coutig MORE POSITIVE re. Sice oth thigs result i mkig the et re lrger, it seems resole tht the derivtive t should e positive. f is egtive f is positive f is positive f is egtive A is egtive c A is positive A is positive A is egtive Lookig t our results, we see tht A () is positive precisely whe f() is positive d egtive precisely whe f() is egtive. Further, our lysis shows tht A () should e ig whe f() is ig d smll whe it is smll. We hve geometric evidece tht there is strog coectio etwee A () d f() so it should ow seem resole tht these two fuctios re i fct equl. Proof of the Fudmetl Theorem of Clculus, prt Let f(t) e cotiuous fuctio o some itervl cotiig d defie the re fuctio: A() = f () t dt. We will try to clculte the derivtive of this fuctio. Sice we hve ot yet lered y shortcuts for clcultig the derivtive of such fuctio, we must fll ck o the limit defiitio of the derivtive, tht is, tht the derivtive is the limit of the slope of the sect lie (see picture.) 7

14 picture : picture : sect lie o the grph of A() o the grph of f(t) we see tht through the poits (,A()) d (+h, A(+h)) the differece etwee A() d A(+h) is just the re etwee d +h A( h) A( ) A'( ) lim lim the re etwee d +h is the sum of the res etwee d d etwee d +h See picture. h0 h0 h defiitio of A() slope of sect lie through (,A()), d (+h, A(+h)) lim h f ( t) dt f ( t) dt h h f ( t) dt f ( t) dt f ( t) dt f ( t) dt h0 h0 h h lim h Sice f is cotiuous o the itervl etwee d +h, y the Me Vlue Theorem for itegrls we kow tht f ttis its verge vlue t some poit i this itervl. Cll this poit t* d recll tht the the defiite itegrl from to +h is equl to f ( t*) ( h) f ( t*) h. Note tht this is true for ll o-zero vlues of h ut tht there my e differet t* vlue for differet vlues of h, sice t* must lwys lie etwee d +h. Pluggig this result ito our limit we see h f () t dt f ( t*) h A'( ) lim lim lim f ( t*) f ( ) h0 h0 h0 y the work ove h MVT for h eplied elow itegrls The uderlied phrse ove remids us tht t* is i fct vrile whose vlue depeds o h. Becuse t* must lie etwee d +h, s h gets closer to 0, t* gets closer to. Sice f is cotious, this mes tht f(t*) gets closer to f(), d thus our fil limit evlutes to f(). Alterte proof to the Fudmetl Theorem, prt : Suppose f d A re defied s ove, d suppose tht F(t) is tiderivtive of f(t), tht is, tht F (t)=f(t). The 73

15 d d A'( ) f ( t) dt F( ) F( ) F '( ) 0 F '( ) f ( ) d FTC, prt d ote tht the derivtive this is of costt costt is 0 This seems much icer proof of prt. It is ideed shorter d esier, ut it ssumes tht we re le to fid ti-derivtive for f(t). I fct, very importt prt of the Fudmetl Theorem, prt, is the sttemet tht every cotiuous fuctio hs tiderivtive, mely, the re fuctio. The first proof demostrtes this fct; the secod ssumes it is true. Homework for sectio 5: Sectio 4.6, p. 30: odd Sectio 4., p. 70: 9-3 odd (directios precede prolem 9) Sectio 4.8, p. 335: -5 odd,, 3 For the remider of chpter 4 we ll retur to usig your regulr tet. The homework prolems for the remiig sectios re give elow. Sectios 4.3 d 4.9: 4.3, p. 85: Quick Check d, -4 odd 4.9, p. 340: Quick Check -3,, 3- (igore directios; just evlute ech itegrl), 3-33 odd Additiol prolems:. e cos( e ) d si. cos l 4 l 6 d l e cos e d Aswers (worked solutios egi pge 76):. si( e ) c. l 3. l c d

16 Sectio 4.7, p. 39: -7 odd, 3-37 odd 75

Limit of a function:

Limit of a function: - Limit of fuctio: We sy tht f ( ) eists d is equl with (rel) umer L if f( ) gets s close s we wt to L if is close eough to (This defiitio c e geerlized for L y syig tht f( ) ecomes s lrge (or s lrge egtive

More information

Approximate Integration

Approximate Integration Study Sheet (7.7) Approimte Itegrtio I this sectio, we will ler: How to fid pproimte vlues of defiite itegrls. There re two situtios i which it is impossile to fid the ect vlue of defiite itegrl. Situtio:

More information

Week 13 Notes: 1) Riemann Sum. Aim: Compute Area Under a Graph. Suppose we want to find out the area of a graph, like the one on the right:

Week 13 Notes: 1) Riemann Sum. Aim: Compute Area Under a Graph. Suppose we want to find out the area of a graph, like the one on the right: Week 1 Notes: 1) Riem Sum Aim: Compute Are Uder Grph Suppose we wt to fid out the re of grph, like the oe o the right: We wt to kow the re of the red re. Here re some wys to pproximte the re: We cut the

More information

General properties of definite integrals

General properties of definite integrals Roerto s Notes o Itegrl Clculus Chpter 4: Defiite itegrls d the FTC Sectio Geerl properties of defiite itegrls Wht you eed to kow lredy: Wht defiite Riem itegrl is. Wht you c ler here: Some key properties

More information

1.3 Continuous Functions and Riemann Sums

1.3 Continuous Functions and Riemann Sums mth riem sums, prt 0 Cotiuous Fuctios d Riem Sums I Exmple we sw tht lim Lower() = lim Upper() for the fuctio!! f (x) = + x o [0, ] This is o ccidet It is exmple of the followig theorem THEOREM Let f be

More information

Crushed Notes on MATH132: Calculus

Crushed Notes on MATH132: Calculus Mth 13, Fll 011 Siyg Yg s Outlie Crushed Notes o MATH13: Clculus The otes elow re crushed d my ot e ect This is oly my ow cocise overview of the clss mterils The otes I put elow should ot e used to justify

More information

Taylor Polynomials. The Tangent Line. (a, f (a)) and has the same slope as the curve y = f (x) at that point. It is the best

Taylor Polynomials. The Tangent Line. (a, f (a)) and has the same slope as the curve y = f (x) at that point. It is the best Tylor Polyomils Let f () = e d let p() = 1 + + 1 + 1 6 3 Without usig clcultor, evlute f (1) d p(1) Ok, I m still witig With little effort it is possible to evlute p(1) = 1 + 1 + 1 (144) + 6 1 (178) =

More information

B. Examples 1. Finite Sums finite sums are an example of Riemann Sums in which each subinterval has the same length and the same x i

B. Examples 1. Finite Sums finite sums are an example of Riemann Sums in which each subinterval has the same length and the same x i Mth 06 Clculus Sec. 5.: The Defiite Itegrl I. Riem Sums A. Def : Give y=f(x):. Let f e defied o closed itervl[,].. Prtitio [,] ito suitervls[x (i-),x i ] of legth Δx i = x i -x (i-). Let P deote the prtitio

More information

Important Facts You Need To Know/Review:

Important Facts You Need To Know/Review: Importt Fcts You Need To Kow/Review: Clculus: If fuctio is cotiuous o itervl I, the its grph is coected o I If f is cotiuous, d lim g Emple: lim eists, the lim lim f g f g d lim cos cos lim 3 si lim, t

More information

 n. A Very Interesting Example + + = d. + x3. + 5x4. math 131 power series, part ii 7. One of the first power series we examined was. 2!

 n. A Very Interesting Example + + = d. + x3. + 5x4. math 131 power series, part ii 7. One of the first power series we examined was. 2! mth power series, prt ii 7 A Very Iterestig Emple Oe of the first power series we emied ws! + +! + + +!! + I Emple 58 we used the rtio test to show tht the itervl of covergece ws (, ) Sice the series coverges

More information

EVALUATING DEFINITE INTEGRALS

EVALUATING DEFINITE INTEGRALS Chpter 4 EVALUATING DEFINITE INTEGRALS If the defiite itegrl represets re betwee curve d the x-xis, d if you c fid the re by recogizig the shpe of the regio, the you c evlute the defiite itegrl. Those

More information

4. When is the particle speeding up? Why? 5. When is the particle slowing down? Why?

4. When is the particle speeding up? Why? 5. When is the particle slowing down? Why? AB CALCULUS: 5.3 Positio vs Distce Velocity vs. Speed Accelertio All the questios which follow refer to the grph t the right.. Whe is the prticle movig t costt speed?. Whe is the prticle movig to the right?

More information

y udv uv y v du 7.1 INTEGRATION BY PARTS

y udv uv y v du 7.1 INTEGRATION BY PARTS 7. INTEGRATION BY PARTS Ever differetitio rule hs correspodig itegrtio rule. For istce, the Substitutio Rule for itegrtio correspods to the Chi Rule for differetitio. The rule tht correspods to the Product

More information

MA123, Chapter 9: Computing some integrals (pp )

MA123, Chapter 9: Computing some integrals (pp ) MA13, Chpter 9: Computig some itegrls (pp. 189-05) Dte: Chpter Gols: Uderstd how to use bsic summtio formuls to evlute more complex sums. Uderstd how to compute its of rtiol fuctios t ifiity. Uderstd how

More information

1.1 The FTC and Riemann Sums. An Application of Definite Integrals: Net Distance Travelled

1.1 The FTC and Riemann Sums. An Application of Definite Integrals: Net Distance Travelled mth 3 more o the fudmetl theorem of clculus The FTC d Riem Sums A Applictio of Defiite Itegrls: Net Distce Trvelled I the ext few sectios (d the ext few chpters) we will see severl importt pplictios of

More information

Chapter 5. The Riemann Integral. 5.1 The Riemann integral Partitions and lower and upper integrals. Note: 1.5 lectures

Chapter 5. The Riemann Integral. 5.1 The Riemann integral Partitions and lower and upper integrals. Note: 1.5 lectures Chpter 5 The Riem Itegrl 5.1 The Riem itegrl Note: 1.5 lectures We ow get to the fudmetl cocept of itegrtio. There is ofte cofusio mog studets of clculus betwee itegrl d tiderivtive. The itegrl is (iformlly)

More information

INTEGRATION TECHNIQUES (TRIG, LOG, EXP FUNCTIONS)

INTEGRATION TECHNIQUES (TRIG, LOG, EXP FUNCTIONS) Mthemtics Revisio Guides Itegrtig Trig, Log d Ep Fuctios Pge of MK HOME TUITION Mthemtics Revisio Guides Level: AS / A Level AQA : C Edecel: C OCR: C OCR MEI: C INTEGRATION TECHNIQUES (TRIG, LOG, EXP FUNCTIONS)

More information

1. (25 points) Use the limit definition of the definite integral and the sum formulas to compute. [1 x + x2

1. (25 points) Use the limit definition of the definite integral and the sum formulas to compute. [1 x + x2 Mth 3, Clculus II Fil Exm Solutios. (5 poits) Use the limit defiitio of the defiite itegrl d the sum formuls to compute 3 x + x. Check your swer by usig the Fudmetl Theorem of Clculus. Solutio: The limit

More information

Infinite Series Sequences: terms nth term Listing Terms of a Sequence 2 n recursively defined n+1 Pattern Recognition for Sequences Ex:

Infinite Series Sequences: terms nth term Listing Terms of a Sequence 2 n recursively defined n+1 Pattern Recognition for Sequences Ex: Ifiite Series Sequeces: A sequece i defied s fuctio whose domi is the set of positive itegers. Usully it s esier to deote sequece i subscript form rther th fuctio ottio.,, 3, re the terms of the sequece

More information

0 otherwise. sin( nx)sin( kx) 0 otherwise. cos( nx) sin( kx) dx 0 for all integers n, k.

0 otherwise. sin( nx)sin( kx) 0 otherwise. cos( nx) sin( kx) dx 0 for all integers n, k. . Computtio of Fourier Series I this sectio, we compute the Fourier coefficiets, f ( x) cos( x) b si( x) d b, i the Fourier series To do this, we eed the followig result o the orthogolity of the trigoometric

More information

Linford 1. Kyle Linford. Math 211. Honors Project. Theorems to Analyze: Theorem 2.4 The Limit of a Function Involving a Radical (A4)

Linford 1. Kyle Linford. Math 211. Honors Project. Theorems to Analyze: Theorem 2.4 The Limit of a Function Involving a Radical (A4) Liford 1 Kyle Liford Mth 211 Hoors Project Theorems to Alyze: Theorem 2.4 The Limit of Fuctio Ivolvig Rdicl (A4) Theorem 2.8 The Squeeze Theorem (A5) Theorem 2.9 The Limit of Si(x)/x = 1 (p. 85) Theorem

More information

AP Calculus Notes: Unit 6 Definite Integrals. Syllabus Objective: 3.4 The student will approximate a definite integral using rectangles.

AP Calculus Notes: Unit 6 Definite Integrals. Syllabus Objective: 3.4 The student will approximate a definite integral using rectangles. AP Clculus Notes: Uit 6 Defiite Itegrls Sllus Ojective:.4 The studet will pproimte defiite itegrl usig rectgles. Recll: If cr is trvelig t costt rte (cruise cotrol), the its distce trveled is equl to rte

More information

( ) dx ; f ( x ) is height and Δx is

( ) dx ; f ( x ) is height and Δx is Mth : 6.3 Defiite Itegrls from Riem Sums We just sw tht the exct re ouded y cotiuous fuctio f d the x xis o the itervl x, ws give s A = lim A exct RAM, where is the umer of rectgles i the Rectgulr Approximtio

More information

INTEGRATION IN THEORY

INTEGRATION IN THEORY CHATER 5 INTEGRATION IN THEORY 5.1 AREA AROXIMATION 5.1.1 SUMMATION NOTATION Fibocci Sequece First, exmple of fmous sequece of umbers. This is commoly ttributed to the mthemtici Fibocci of is, lthough

More information

n 2 + 3n + 1 4n = n2 + 3n + 1 n n 2 = n + 1

n 2 + 3n + 1 4n = n2 + 3n + 1 n n 2 = n + 1 Ifiite Series Some Tests for Divergece d Covergece Divergece Test: If lim u or if the limit does ot exist, the series diverget. + 3 + 4 + 3 EXAMPLE: Show tht the series diverges. = u = + 3 + 4 + 3 + 3

More information

f(t)dt 2δ f(x) f(t)dt 0 and b f(t)dt = 0 gives F (b) = 0. Since F is increasing, this means that

f(t)dt 2δ f(x) f(t)dt 0 and b f(t)dt = 0 gives F (b) = 0. Since F is increasing, this means that Uiversity of Illiois t Ur-Chmpig Fll 6 Mth 444 Group E3 Itegrtio : correctio of the exercises.. ( Assume tht f : [, ] R is cotiuous fuctio such tht f(x for ll x (,, d f(tdt =. Show tht f(x = for ll x [,

More information

The Reimann Integral is a formal limit definition of a definite integral

The Reimann Integral is a formal limit definition of a definite integral MATH 136 The Reim Itegrl The Reim Itegrl is forml limit defiitio of defiite itegrl cotiuous fuctio f. The costructio is s follows: f ( x) dx for Reim Itegrl: Prtitio [, ] ito suitervls ech hvig the equl

More information

1 Tangent Line Problem

1 Tangent Line Problem October 9, 018 MAT18 Week Justi Ko 1 Tget Lie Problem Questio: Give the grph of fuctio f, wht is the slope of the curve t the poit, f? Our strteg is to pproimte the slope b limit of sect lies betwee poits,

More information

Chapter 7 Infinite Series

Chapter 7 Infinite Series MA Ifiite Series Asst.Prof.Dr.Supree Liswdi Chpter 7 Ifiite Series Sectio 7. Sequece A sequece c be thought of s list of umbers writte i defiite order:,,...,,... 2 The umber is clled the first term, 2

More information

Definite Integral. The Left and Right Sums

Definite Integral. The Left and Right Sums Clculus Li Vs Defiite Itegrl. The Left d Right Sums The defiite itegrl rises from the questio of fidig the re betwee give curve d x-xis o itervl. The re uder curve c be esily clculted if the curve is give

More information

8.1 Arc Length. What is the length of a curve? How can we approximate it? We could do it following the pattern we ve used before

8.1 Arc Length. What is the length of a curve? How can we approximate it? We could do it following the pattern we ve used before 8.1 Arc Legth Wht is the legth of curve? How c we pproximte it? We could do it followig the ptter we ve used efore Use sequece of icresigly short segmets to pproximte the curve: As the segmets get smller

More information

REVIEW OF CHAPTER 5 MATH 114 (SECTION C1): ELEMENTARY CALCULUS

REVIEW OF CHAPTER 5 MATH 114 (SECTION C1): ELEMENTARY CALCULUS REVIEW OF CHAPTER 5 MATH 4 (SECTION C): EEMENTARY CACUUS.. Are.. Are d Estimtig with Fiite Sums Emple. Approimte the re of the shded regio R tht is lies ove the -is, elow the grph of =, d etwee the verticl

More information

Graphing Review Part 3: Polynomials

Graphing Review Part 3: Polynomials Grphig Review Prt : Polomils Prbols Recll, tht the grph of f ( ) is prbol. It is eve fuctio, hece it is smmetric bout the bout the -is. This mes tht f ( ) f ( ). Its grph is show below. The poit ( 0,0)

More information

BC Calculus Review Sheet

BC Calculus Review Sheet BC Clculus Review Sheet Whe you see the words. 1. Fid the re of the ubouded regio represeted by the itegrl (sometimes 1 f ( ) clled horizotl improper itegrl). This is wht you thik of doig.... Fid the re

More information

POWER SERIES R. E. SHOWALTER

POWER SERIES R. E. SHOWALTER POWER SERIES R. E. SHOWALTER. sequeces We deote by lim = tht the limit of the sequece { } is the umber. By this we me tht for y ε > 0 there is iteger N such tht < ε for ll itegers N. This mkes precise

More information

GRAPHING LINEAR EQUATIONS. Linear Equations. x l ( 3,1 ) _x-axis. Origin ( 0, 0 ) Slope = change in y change in x. Equation for l 1.

GRAPHING LINEAR EQUATIONS. Linear Equations. x l ( 3,1 ) _x-axis. Origin ( 0, 0 ) Slope = change in y change in x. Equation for l 1. GRAPHING LINEAR EQUATIONS Qudrt II Qudrt I ORDERED PAIR: The first umer i the ordered pir is the -coordite d the secod umer i the ordered pir is the y-coordite. (, ) Origi ( 0, 0 ) _-is Lier Equtios Qudrt

More information

THE NATIONAL UNIVERSITY OF IRELAND, CORK COLÁISTE NA hollscoile, CORCAIGH UNIVERSITY COLLEGE, CORK SUMMER EXAMINATION 2005 FIRST ENGINEERING

THE NATIONAL UNIVERSITY OF IRELAND, CORK COLÁISTE NA hollscoile, CORCAIGH UNIVERSITY COLLEGE, CORK SUMMER EXAMINATION 2005 FIRST ENGINEERING OLLSCOIL NA héireann, CORCAIGH THE NATIONAL UNIVERSITY OF IRELAND, CORK COLÁISTE NA hollscoile, CORCAIGH UNIVERSITY COLLEGE, CORK SUMMER EXAMINATION 2005 FIRST ENGINEERING MATHEMATICS MA008 Clculus d Lier

More information

Numerical Integration

Numerical Integration Numericl tegrtio Newto-Cotes Numericl tegrtio Scheme Replce complicted uctio or tulted dt with some pproimtig uctio tht is esy to itegrte d d 3-7 Roerto Muscedere The itegrtio o some uctios c e very esy

More information

The Basic Properties of the Integral

The Basic Properties of the Integral The Bsic Properties of the Itegrl Whe we compute the derivtive of complicted fuctio, like x + six, we usully use differetitio rules, like d [f(x)+g(x)] d f(x)+ d g(x), to reduce the computtio dx dx dx

More information

Mathacle. PSet Stats, Concepts In Statistics Level Number Name: Date:

Mathacle. PSet Stats, Concepts In Statistics Level Number Name: Date: APPENDEX I. THE RAW ALGEBRA IN STATISTICS A I-1. THE INEQUALITY Exmple A I-1.1. Solve ech iequlity. Write the solutio i the itervl ottio..) 2 p - 6 p -8.) 2x- 3 < 5 Solutio:.). - 4 p -8 p³ 2 or pî[2, +

More information

Approximations of Definite Integrals

Approximations of Definite Integrals Approximtios of Defiite Itegrls So fr we hve relied o tiderivtives to evlute res uder curves, work doe by vrible force, volumes of revolutio, etc. More precisely, wheever we hve hd to evlute defiite itegrl

More information

Riemann Integration. Chapter 1

Riemann Integration. Chapter 1 Mesure, Itegrtio & Rel Alysis. Prelimiry editio. 8 July 2018. 2018 Sheldo Axler 1 Chpter 1 Riem Itegrtio This chpter reviews Riem itegrtio. Riem itegrtio uses rectgles to pproximte res uder grphs. This

More information

( a n ) converges or diverges.

( a n ) converges or diverges. Chpter Ifiite Series Pge of Sectio E Rtio Test Chpter : Ifiite Series By the ed of this sectio you will be ble to uderstd the proof of the rtio test test series for covergece by pplyig the rtio test pprecite

More information

Review of the Riemann Integral

Review of the Riemann Integral Chpter 1 Review of the Riem Itegrl This chpter provides quick review of the bsic properties of the Riem itegrl. 1.0 Itegrls d Riem Sums Defiitio 1.0.1. Let [, b] be fiite, closed itervl. A prtitio P of

More information

Westchester Community College Elementary Algebra Study Guide for the ACCUPLACER

Westchester Community College Elementary Algebra Study Guide for the ACCUPLACER Westchester Commuity College Elemetry Alger Study Guide for the ACCUPLACER Courtesy of Aims Commuity College The followig smple questios re similr to the formt d cotet of questios o the Accuplcer Elemetry

More information

Content: Essential Calculus, Early Transcendentals, James Stewart, 2007 Chapter 1: Functions and Limits., in a set B.

Content: Essential Calculus, Early Transcendentals, James Stewart, 2007 Chapter 1: Functions and Limits., in a set B. Review Sheet: Chpter Cotet: Essetil Clculus, Erly Trscedetls, Jmes Stewrt, 007 Chpter : Fuctios d Limits Cocepts, Defiitios, Lws, Theorems: A fuctio, f, is rule tht ssigs to ech elemet i set A ectly oe

More information

Convergence rates of approximate sums of Riemann integrals

Convergence rates of approximate sums of Riemann integrals Covergece rtes of pproximte sums of Riem itegrls Hiroyuki Tski Grdute School of Pure d Applied Sciece, Uiversity of Tsuku Tsuku Irki 5-857 Jp tski@mth.tsuku.c.jp Keywords : covergece rte; Riem sum; Riem

More information

Math 104: Final exam solutions

Math 104: Final exam solutions Mth 14: Fil exm solutios 1. Suppose tht (s ) is icresig sequece with coverget subsequece. Prove tht (s ) is coverget sequece. Aswer: Let the coverget subsequece be (s k ) tht coverges to limit s. The there

More information

5.3. The Definite Integral. Limits of Riemann Sums

5.3. The Definite Integral. Limits of Riemann Sums . The Defiite Itegrl 4. The Defiite Itegrl I Sectio. we ivestigted the limit of fiite sum for fuctio defied over closed itervl [, ] usig suitervls of equl width (or legth), s - d>. I this sectio we cosider

More information

The Definite Riemann Integral

The Definite Riemann Integral These otes closely follow the presettio of the mteril give i Jmes Stewrt s textook Clculus, Cocepts d Cotexts (d editio). These otes re iteded primrily for i-clss presettio d should ot e regrded s sustitute

More information

( ) k ( ) 1 T n 1 x = xk. Geometric series obtained directly from the definition. = 1 1 x. See also Scalars 9.1 ADV-1: lim n.

( ) k ( ) 1 T n 1 x = xk. Geometric series obtained directly from the definition. = 1 1 x. See also Scalars 9.1 ADV-1: lim n. Sclrs-9.0-ADV- Algebric Tricks d Where Tylor Polyomils Come From 207.04.07 A.docx Pge of Algebric tricks ivolvig x. You c use lgebric tricks to simplify workig with the Tylor polyomils of certi fuctios..

More information

Limits and an Introduction to Calculus

Limits and an Introduction to Calculus Nme Chpter Limits d Itroductio to Clculus Sectio. Itroductio to Limits Objective: I this lesso ou lered how to estimte limits d use properties d opertios of limits. I. The Limit Cocept d Defiitio of Limit

More information

Riemann Integral and Bounded function. Ng Tze Beng

Riemann Integral and Bounded function. Ng Tze Beng Riem Itegrl d Bouded fuctio. Ng Tze Beg I geerlistio of re uder grph of fuctio, it is ormlly ssumed tht the fuctio uder cosidertio e ouded. For ouded fuctio, the rge of the fuctio is ouded d hece y suset

More information

Feedback & Assessment of Your Success. 1 Calculus AP U5 Integration (AP) Name: Antiderivatives & Indefinite Integration (AP) Journal #1 3days

Feedback & Assessment of Your Success. 1 Calculus AP U5 Integration (AP) Name: Antiderivatives & Indefinite Integration (AP) Journal #1 3days Clculus AP U5 Itegrtio (AP) Nme: Big ide Clculus is etire rch of mthemtics. Clculus is uilt o two mjor complemetry ides. The first is differetil clculus, which is cocered with the istteous rte of chge.

More information

We saw in Section 5.1 that a limit of the form. 2 DEFINITION OF A DEFINITE INTEGRAL If f is a function defined for a x b,

We saw in Section 5.1 that a limit of the form. 2 DEFINITION OF A DEFINITE INTEGRAL If f is a function defined for a x b, 3 6 6 CHAPTER 5 INTEGRALS CAS 5. Fid the ect re uder the cosie curve cos from to, where. (Use computer lger sstem oth to evlute the sum d compute the it.) I prticulr, wht is the re if? 6. () Let A e the

More information

Theorem 5.3 (Continued) The Fundamental Theorem of Calculus, Part 2: ab,, then. f x dx F x F b F a. a a. f x dx= f x x

Theorem 5.3 (Continued) The Fundamental Theorem of Calculus, Part 2: ab,, then. f x dx F x F b F a. a a. f x dx= f x x Chpter 6 Applictios Itegrtio Sectio 6. Regio Betwee Curves Recll: Theorem 5.3 (Cotiued) The Fudmetl Theorem of Clculus, Prt :,,, the If f is cotiuous t ever poit of [ ] d F is tiderivtive of f o [ ] (

More information

5.1 - Areas and Distances

5.1 - Areas and Distances Mth 3B Midterm Review Writte by Victori Kl vtkl@mth.ucsb.edu SH 63u Office Hours: R 9:5 - :5m The midterm will cover the sectios for which you hve received homework d feedbck Sectios.9-6.5 i your book.

More information

Riemann Integral Oct 31, such that

Riemann Integral Oct 31, such that Riem Itegrl Ot 31, 2007 Itegrtio of Step Futios A prtitio P of [, ] is olletio {x k } k=0 suh tht = x 0 < x 1 < < x 1 < x =. More suitly, prtitio is fiite suset of [, ] otiig d. It is helpful to thik of

More information

f(bx) dx = f dx = dx l dx f(0) log b x a + l log b a 2ɛ log b a.

f(bx) dx = f dx = dx l dx f(0) log b x a + l log b a 2ɛ log b a. Eercise 5 For y < A < B, we hve B A f fb B d = = A B A f d f d For y ɛ >, there re N > δ >, such tht d The for y < A < δ d B > N, we hve ba f d f A bb f d l By ba A A B A bb ba fb d f d = ba < m{, b}δ

More information

Sequence and Series of Functions

Sequence and Series of Functions 6 Sequece d Series of Fuctios 6. Sequece of Fuctios 6.. Poitwise Covergece d Uiform Covergece Let J be itervl i R. Defiitio 6. For ech N, suppose fuctio f : J R is give. The we sy tht sequece (f ) of fuctios

More information

Discrete Mathematics and Probability Theory Spring 2016 Rao and Walrand Lecture 17

Discrete Mathematics and Probability Theory Spring 2016 Rao and Walrand Lecture 17 CS 70 Discrete Mthemtics d Proility Theory Sprig 206 Ro d Wlrd Lecture 7 Vrice We hve see i the previous ote tht if we toss coi times with is p, the the expected umer of heds is p. Wht this mes is tht

More information

The Definite Integral

The Definite Integral The Defiite Itegrl A Riem sum R S (f) is pproximtio to the re uder fuctio f. The true re uder the fuctio is obtied by tkig the it of better d better pproximtios to the re uder f. Here is the forml defiitio,

More information

Logarithmic Scales: the most common example of these are ph, sound and earthquake intensity.

Logarithmic Scales: the most common example of these are ph, sound and earthquake intensity. Numercy Itroductio to Logrithms Logrithms re commoly credited to Scottish mthemtici med Joh Npier who costructed tle of vlues tht llowed multiplictios to e performed y dditio of the vlues from the tle.

More information

Solutions to Problem Set 7

Solutions to Problem Set 7 8.0 Clculus Jso Strr Due by :00pm shrp Fll 005 Fridy, Dec., 005 Solutios to Problem Set 7 Lte homework policy. Lte work will be ccepted oly with medicl ote or for other Istitute pproved reso. Coopertio

More information

SM2H. Unit 2 Polynomials, Exponents, Radicals & Complex Numbers Notes. 3.1 Number Theory

SM2H. Unit 2 Polynomials, Exponents, Radicals & Complex Numbers Notes. 3.1 Number Theory SMH Uit Polyomils, Epoets, Rdicls & Comple Numbers Notes.1 Number Theory .1 Addig, Subtrctig, d Multiplyig Polyomils Notes Moomil: A epressio tht is umber, vrible, or umbers d vribles multiplied together.

More information

UNIVERSITY OF BRISTOL. Examination for the Degrees of B.Sc. and M.Sci. (Level C/4) ANALYSIS 1B, SOLUTIONS MATH (Paper Code MATH-10006)

UNIVERSITY OF BRISTOL. Examination for the Degrees of B.Sc. and M.Sci. (Level C/4) ANALYSIS 1B, SOLUTIONS MATH (Paper Code MATH-10006) UNIVERSITY OF BRISTOL Exmitio for the Degrees of B.Sc. d M.Sci. (Level C/4) ANALYSIS B, SOLUTIONS MATH 6 (Pper Code MATH-6) My/Jue 25, hours 3 miutes This pper cotis two sectios, A d B. Plese use seprte

More information

Chapter Real Numbers

Chapter Real Numbers Chpter. - Rel Numbers Itegers: coutig umbers, zero, d the egtive of the coutig umbers. ex: {,-3, -, -,,,, 3, } Rtiol Numbers: quotiets of two itegers with ozero deomitor; termitig or repetig decimls. ex:

More information

MTH 146 Class 16 Notes

MTH 146 Class 16 Notes MTH 46 Clss 6 Notes 0.4- Cotiued Motivtio: We ow cosider the rc legth of polr curve. Suppose we wish to fid the legth of polr curve curve i terms of prmetric equtios s: r f where b. We c view the cos si

More information

[Q. Booklet Number]

[Q. Booklet Number] 6 [Q. Booklet Numer] KOLKATA WB- B-J J E E - 9 MATHEMATICS QUESTIONS & ANSWERS. If C is the reflecto of A (, ) i -is d B is the reflectio of C i y-is, the AB is As : Hits : A (,); C (, ) ; B (, ) y A (,

More information

* power rule: * fraction raised to negative exponent: * expanded power rule:

* power rule: * fraction raised to negative exponent: * expanded power rule: Mth 15 Iteredite Alger Stud Guide for E 3 (Chpters 7, 8, d 9) You use 3 5 ote crd (oth sides) d scietific clcultor. You re epected to kow (or hve writte o our ote crd) foruls ou eed. Thik out rules d procedures

More information

Options: Calculus. O C.1 PG #2, 3b, 4, 5ace O C.2 PG.24 #1 O D PG.28 #2, 3, 4, 5, 7 O E PG #1, 3, 4, 5 O F PG.

Options: Calculus. O C.1 PG #2, 3b, 4, 5ace O C.2 PG.24 #1 O D PG.28 #2, 3, 4, 5, 7 O E PG #1, 3, 4, 5 O F PG. O C. PG.-3 #, 3b, 4, 5ce O C. PG.4 # Optios: Clculus O D PG.8 #, 3, 4, 5, 7 O E PG.3-33 #, 3, 4, 5 O F PG.36-37 #, 3 O G. PG.4 #c, 3c O G. PG.43 #, O H PG.49 #, 4, 5, 6, 7, 8, 9, 0 O I. PG.53-54 #5, 8

More information

Assessment Center Elementary Algebra Study Guide for the ACCUPLACER (CPT)

Assessment Center Elementary Algebra Study Guide for the ACCUPLACER (CPT) Assessmet Ceter Elemetr Alger Stud Guide for the ACCUPLACER (CPT) The followig smple questios re similr to the formt d cotet of questios o the Accuplcer Elemetr Alger test. Reviewig these smples will give

More information

FOURIER SERIES PART I: DEFINITIONS AND EXAMPLES. To a 2π-periodic function f(x) we will associate a trigonometric series. a n cos(nx) + b n sin(nx),

FOURIER SERIES PART I: DEFINITIONS AND EXAMPLES. To a 2π-periodic function f(x) we will associate a trigonometric series. a n cos(nx) + b n sin(nx), FOURIER SERIES PART I: DEFINITIONS AND EXAMPLES To -periodic fuctio f() we will ssocite trigoometric series + cos() + b si(), or i terms of the epoetil e i, series of the form c e i. Z For most of the

More information

FACULTY OF MATHEMATICAL STUDIES MATHEMATICS FOR PART I ENGINEERING. Lectures

FACULTY OF MATHEMATICAL STUDIES MATHEMATICS FOR PART I ENGINEERING. Lectures FACULTY OF MATHEMATICAL STUDIES MATHEMATICS FOR PART I ENGINEERING Lectures MODULE 0 FURTHER CALCULUS II. Sequeces d series. Rolle s theorem d me vlue theorems 3. Tlor s d Mcluri s theorems 4. L Hopitl

More information

Area, Volume, Rotations, Newton s Method

Area, Volume, Rotations, Newton s Method Are, Volume, Rottio, Newto Method Are etwee curve d the i A ( ) d Are etwee curve d the y i A ( y) yd yc Are etwee curve A ( ) g( ) d where ( ) i the "top" d g( ) i the "ottom" yd Are etwee curve A ( y)

More information

10.5 Power Series. In this section, we are going to start talking about power series. A power series is a series of the form

10.5 Power Series. In this section, we are going to start talking about power series. A power series is a series of the form 0.5 Power Series I the lst three sectios, we ve spet most of tht time tlkig bout how to determie if series is coverget or ot. Now it is time to strt lookig t some specific kids of series d we will evetully

More information

Fig. 1. I a. V ag I c. I n. V cg. Z n Z Y. I b. V bg

Fig. 1. I a. V ag I c. I n. V cg. Z n Z Y. I b. V bg ymmetricl Compoets equece impedces Although the followig focuses o lods, the results pply eqully well to lies, or lies d lods. Red these otes together with sectios.6 d.9 of text. Cosider the -coected lced

More information

The total number of permutations of S is n!. We denote the set of all permutations of S by

The total number of permutations of S is n!. We denote the set of all permutations of S by DETERMINNTS. DEFINITIONS Def: Let S {,,, } e the set of itegers from to, rrged i scedig order. rerrgemet jjj j of the elemets of S is clled permuttio of S. S. The totl umer of permuttios of S is!. We deote

More information

f ( x) ( ) dx =

f ( x) ( ) dx = Defiite Itegrls & Numeric Itegrtio Show ll work. Clcultor permitted o, 6,, d Multiple Choice. (Clcultor Permitted) If the midpoits of equl-width rectgles is used to pproximte the re eclosed etwee the x-xis

More information

Section IV.6: The Master Method and Applications

Section IV.6: The Master Method and Applications Sectio IV.6: The Mster Method d Applictios Defiitio IV.6.1: A fuctio f is symptoticlly positive if d oly if there exists rel umer such tht f(x) > for ll x >. A cosequece of this defiitio is tht fuctio

More information

Pre-Calculus - Chapter 3 Sections Notes

Pre-Calculus - Chapter 3 Sections Notes Pre-Clculus - Chpter 3 Sectios 3.1-3.4- Notes Properties o Epoets (Review) 1. ( )( ) = + 2. ( ) =, (c) = 3. 0 = 1 4. - = 1/( ) 5. 6. c Epoetil Fuctios (Sectio 3.1) Deiitio o Epoetil Fuctios The uctio deied

More information

Mathematical Notation Math Calculus for Business and Social Science

Mathematical Notation Math Calculus for Business and Social Science Mthemticl Nottio Mth 190 - Clculus for Busiess d Socil Sciece Use Word or WordPerfect to recrete the followig documets. Ech rticle is worth 10 poits d should e emiled to the istructor t jmes@richld.edu.

More information

(200 terms) equals Let f (x) = 1 + x + x 2 + +x 100 = x101 1

(200 terms) equals Let f (x) = 1 + x + x 2 + +x 100 = x101 1 SECTION 5. PGE 78.. DMS: CLCULUS.... 5. 6. CHPTE 5. Sectio 5. pge 78 i + + + INTEGTION Sums d Sigm Nottio j j + + + + + i + + + + i j i i + + + j j + 5 + + j + + 9 + + 7. 5 + 6 + 7 + 8 + 9 9 i i5 8. +

More information

lecture 16: Introduction to Least Squares Approximation

lecture 16: Introduction to Least Squares Approximation 97 lecture 16: Itroductio to Lest Squres Approximtio.4 Lest squres pproximtio The miimx criterio is ituitive objective for pproximtig fuctio. However, i my cses it is more ppelig (for both computtio d

More information

18.01 Calculus Jason Starr Fall 2005

18.01 Calculus Jason Starr Fall 2005 18.01 Clculus Jso Strr Lecture 14. October 14, 005 Homework. Problem Set 4 Prt II: Problem. Prctice Problems. Course Reder: 3B 1, 3B 3, 3B 4, 3B 5. 1. The problem of res. The ciet Greeks computed the res

More information

Section 6.3: Geometric Sequences

Section 6.3: Geometric Sequences 40 Chpter 6 Sectio 6.: Geometric Sequeces My jobs offer ul cost-of-livig icrese to keep slries cosistet with ifltio. Suppose, for exmple, recet college grdute fids positio s sles mger erig ul slry of $6,000.

More information

Second Mean Value Theorem for Integrals By Ng Tze Beng. The Second Mean Value Theorem for Integrals (SMVT) Statement of the Theorem

Second Mean Value Theorem for Integrals By Ng Tze Beng. The Second Mean Value Theorem for Integrals (SMVT) Statement of the Theorem Secod Me Vlue Theorem for Itegrls By Ng Tze Beg This rticle is out the Secod Me Vlue Theorem for Itegrls. This theorem, first proved y Hoso i its most geerlity d with extesio y ixo, is very useful d lmost

More information

Project 3: Using Identities to Rewrite Expressions

Project 3: Using Identities to Rewrite Expressions MAT 5 Projet 3: Usig Idetities to Rewrite Expressios Wldis I lger, equtios tht desrie properties or ptters re ofte lled idetities. Idetities desrie expressio e repled with equl or equivlet expressio tht

More information

Convergence rates of approximate sums of Riemann integrals

Convergence rates of approximate sums of Riemann integrals Jourl of Approximtio Theory 6 (9 477 49 www.elsevier.com/locte/jt Covergece rtes of pproximte sums of Riem itegrls Hiroyuki Tski Grdute School of Pure d Applied Sciece, Uiversity of Tsukub, Tsukub Ibrki

More information

We will begin by supplying the proof to (a).

We will begin by supplying the proof to (a). (The solutios of problem re mostly from Jeffrey Mudrock s HWs) Problem 1. There re three sttemet from Exmple 5.4 i the textbook for which we will supply proofs. The sttemets re the followig: () The spce

More information

Multiplicative Versions of Infinitesimal Calculus

Multiplicative Versions of Infinitesimal Calculus Multiplictive Versios o Iiitesiml Clculus Wht hppes whe you replce the summtio o stdrd itegrl clculus with multiplictio? Compre the revited deiitio o stdrd itegrl D å ( ) lim ( ) D i With ( ) lim ( ) D

More information

Test Info. Test may change slightly.

Test Info. Test may change slightly. 9. 9.6 Test Ifo Test my chge slightly. Short swer (0 questios 6 poits ech) o Must choose your ow test o Tests my oly be used oce o Tests/types you re resposible for: Geometric (kow sum) Telescopig (kow

More information

( x y ) x y. a b. a b. Chapter 2Properties of Exponents and Scientific Notation. x x. x y, Example: (x 2 )(x 4 ) = x 6.

( x y ) x y. a b. a b. Chapter 2Properties of Exponents and Scientific Notation. x x. x y, Example: (x 2 )(x 4 ) = x 6. Chpter Properties of Epoets d Scietific Nottio Epoet - A umer or symol, s i ( + y), plced to the right of d ove other umer, vrile, or epressio (clled the se), deotig the power to which the se is to e rised.

More information

Calculus II Homework: The Integral Test and Estimation of Sums Page 1

Calculus II Homework: The Integral Test and Estimation of Sums Page 1 Clculus II Homework: The Itegrl Test d Estimtio of Sums Pge Questios Emple (The p series) Get upper d lower bouds o the sum for the p series i= /ip with p = 2 if the th prtil sum is used to estimte the

More information

moment = m! x, where x is the length of the moment arm.

moment = m! x, where x is the length of the moment arm. th 1206 Clculus Sec. 6.7: omets d Ceters of ss I. Fiite sses A. Oe Dimesiol Cses 1. Itroductio Recll the differece etwee ss d Weight.. ss is the mout of "stuff" (mtter) tht mkes up oject.. Weight is mesure

More information

Math 2414 Activity 17 (Due with Final Exam) Determine convergence or divergence of the following alternating series: a 3 5 2n 1 2n 1

Math 2414 Activity 17 (Due with Final Exam) Determine convergence or divergence of the following alternating series: a 3 5 2n 1 2n 1 Mth 44 Activity 7 (Due with Fil Exm) Determie covergece or divergece of the followig ltertig series: l 4 5 6 4 7 8 4 {Hit: Loo t 4 } {Hit: } 5 {Hit: AST or just chec out the prtil sums} {Hit: AST or just

More information

The limit comparison test

The limit comparison test Roerto s Notes o Ifiite Series Chpter : Covergece tests Sectio 4 The limit compriso test Wht you eed to kow lredy: Bsics of series d direct compriso test. Wht you c ler here: Aother compriso test tht does

More information

MAS221 Analysis, Semester 2 Exercises

MAS221 Analysis, Semester 2 Exercises MAS22 Alysis, Semester 2 Exercises Srh Whitehouse (Exercises lbelled * my be more demdig.) Chpter Problems: Revisio Questio () Stte the defiitio of covergece of sequece of rel umbers, ( ), to limit. (b)

More information

PROGRESSIONS AND SERIES

PROGRESSIONS AND SERIES PROGRESSIONS AND SERIES A sequece is lso clled progressio. We ow study three importt types of sequeces: () The Arithmetic Progressio, () The Geometric Progressio, () The Hrmoic Progressio. Arithmetic Progressio.

More information

Indices and Logarithms

Indices and Logarithms the Further Mthemtics etwork www.fmetwork.org.uk V 7 SUMMARY SHEET AS Core Idices d Logrithms The mi ides re AQA Ed MEI OCR Surds C C C C Lws of idices C C C C Zero, egtive d frctiol idices C C C C Bsic

More information