AIEEE Mathematics Quick Review. = k (k 1) represents circle with SAKSHI. AB, AC then. 29. e iθ = Cosθ + isinθ = Cosθ, e iπ = 1, π. is 2. Cisβ.

Size: px
Start display at page:

Download "AIEEE Mathematics Quick Review. = k (k 1) represents circle with SAKSHI. AB, AC then. 29. e iθ = Cosθ + isinθ = Cosθ, e iπ = 1, π. is 2. Cisβ."

Transcription

1 OMPLEX NUMBERS AND DEMOIVRES THEOREM. Geel om o omp umes + y whee s Rel pt d y s Imgy pt.. Sum o oot o uty s zeo. Poduct o oot o uty ( ). ue oots o uty e, ω, ω 5. + ω + ω, ω, 6. Ag z t pcp vlue o θ s π θ π 7. Ag o + y s y θ t o evey > 0, y > 0 8. y Ag o y s θt o evey > 0, y > 0 9. y Ag o + y s θπt o evey > 0, y > 0 0. Ag o y s θπ+ t o evey > 0, y > ω, ω. Ag. z z z Agz z Agz Ag Ag Ag + zz z Agz Ag +,, +,( + ),( ) + + +, + z + z z + z ; z z z z whee ( + ) + ( ) os + π + π ( + ) + ( ) os I ee comp umes Z, Z, Z e colle e z z z z z z 8. Ae o tg omed y Z, IZ, Z + Z s Z 9. Ae o tg omed y Z, ωz, Z + ωz s Z 0. I Z ZZ + Z e og, Z, Z oms equltel tg. I Z, Z, Z oms equltel tg d Z 0 s ccum cete e Z + Z + Z Z, 0 AIEEE Memtcs Quck Revew + y. I Z, Z, Z oms equltel tg d Z 0 s ccum cete e Z + Z + Z Z Z + Z Z + Z Z + z + z z z ;. Dstce etwee two vetces Z, Z s.z z. z z 0 s cc w dus p d cete z 0 5. zz + zα+ zα+β 0 Repesets cc W dus α β whee α s oel comp d β s cost t 6. I z z k (k ) epesets cc w z z kz ± z eds o dmete k± I k e locus o z epesets le o pepedcul secto. 7. z z + z z k,k > z z e locus o z epesets Ellpse d k< zz t s ss, e t epesets hypeol 8. A(z ),B(z ),(z ), d θ s g etwee z z AB AB, A e e θ z z A 9. e θ osθ + Sθ osθ, e π, π π e,log 0. (osθ + Sθ) osθ + Sθ. osθ+sθsθ, sα. sβs (α+ β), sβ s( α+β ) sβ. I osθ+sθ e osθ Sθ + os S α α + osα Sα. I Σosα ΣSα Σosα ΣSα Σos α ΣS α, Σos α ΣS α / Σosα os(α + β + γ), ΣSα S(α + β + γ) Σos(α β γ), ΣS(α β γ),. + + c c ( + + c) ( + ω + cω ) ( + ω + cω) Qudtc Epessos. Stdd om o Qudtc equto s + +c Sum o oots, poduct o oots c, dscmte c I α, β e oots e Qudtc equto s (α + β) + αβ. I e oots o + + c e, c e + + c. I e oots o + + c e to m : e m (m + ) c. I oe oot o + + c s sque o e oe e c + c + c 5. I > 0 e e st vlue o + s 6. I,,..., e postve e e st vlue o

2 ( ) s 7. I + + c K e ge o K + c + c s,k 8. I e two oots e egtve, e,, c wll hve sme sg 9. I e two oots e postve, e e sg o, c wll hve deet sg o '' 0. () s polyoml e e equto whose oots e ecpocl o e oots o () s cesed y 'K' s ( K), multpled y K s (/K). Fo,, h R e oots o ( ) ( ) h e el d uequl. Fo,, c R e oots o ( ) ( ) + ( ) ( c) + ( c) ( ) e el d uequl. Thee oots o cucl equto e A.P, ey e tke s d,, + d. Fou oots A.P, d, d, +d, +d 5. I ee oots e G.P,, e tke s oots 6. I ou oots e G.P,,, e tke s oots 7. Fo + + c + d () Σα β (αβ + βγ + γα) (α + β + γ) αβ γ s s s () α +β +γ s s () (v) α +β +γ s s s + ss + s α +β +γ s ss + s (v) I + + c... to elmte secod tem oots e dmshed y Boml Theoem Ad Ptl Fctos. Nume o tems e epso ( + ) s +. Nume o tems e epso + ( ) s I T+ + +, T p. Fo + q depedet tem s p p+ q + 5. I ove, e tem cotg s s 6. ( + ) s dvs y d ( + ) s dvs y. 7. oecet o (+) (+)...(+) 8. oecet o (+) (+)...(+) s ( + ) 9. oecet o ove s ( + )( )( + ) 0. I () ( + y) e sum o coecets s equl to (). Sum o coecets o eve tems s equl to (). Sum o coecets o odd tems s equl to. I () + + e A.P ( ) +. Fo (+y), s eve e oly oe mdd tem t s + tem. 5. Fo ( + y), s odd ee e two mdd tems t s + + tem d tem. 6. I e epso ( + y) s eve getest coecet s 7. I e epso ( + y) s odd getest coecets e, + s odd 8. Fo epso o (+ ) Geel otto 0 o,, 9. Sum o oml coecets o Sum o eve oml coecets o Sum o odd oml coecets MATRIES. A sque mt whch evey emet s equl to '0', ecept ose o pcpl dgol o mt s cld s dgol mt. A sque mt s sd to e scl mt ll e emets e pcpl dgol e equl d Oe emets e zeo's. A dgol mt A whch ll e emets e pcpl dgol e d e est '0' s cld ut mt. A sque mt A s sd to e Idem-potet mt A A, 5. A sque mt A s sd to e Ivolu-ty mt A I 6. A sque mt A s sd to e Symm-etc mt A A T A sque mt A s sd to e Skew symmetc mt A-A T 7. A sque mt A s sd to e Nlpotet mt I e ests postve tege such t A '' s e de o Nlpotet mt 8. I 'A' s gve mt, evey sque mt- c e epessed s sum o symme-tc d skew symmetc mt whee T Symmetc pt A+ A T A+ A usymmetc pt 9. A sque mt 'A' s cld oo-gol mt AA T I o A T A - 0. A sque mt 'A' s sd to e sgul mt det A. A sque mt 'A' s sd to e o sgul mt det A 0. I 'A' s sque mt e det Adet A T. I AB I BA e A d B e cld veses o ech oe. (A - ) - A, (AB) - B - A - 5. I A d A T e vet e (A T ) - (A - ) T 6. I A s o sgul o ode, A AdjA s vet, e A det A d 7. I A A d-c 0 c d d c c 8. (A - ) - A, (AB) - B - A -, (A T ) - (A - ) T (AB) - - B - p s + p+ q

3 A -. I A s o- sgul mt, e ) A(AdjA) A I ) Adj A A A - c) (Adj A) - Adj (A - ) d) Adj AT (Adj A) T e) Det (A - ) ( Det A) - ) Adj A A - g) ladj (Adj A ) l A ( - ) h) Fo y scl 'k' Adj (ka) k - Adj A 9. I A d B e two o-sgul mtces o e sme type e () Adj (AB) (Adj B) (Adj A) () Adj (AB) Adj A Adj B Adj B Adj A 0. To deteme k d soluto st co-vet mt to Echolo om.e. A Echolo om oa 0 y z k l No o o zeo ows Rk o mt I e system o equtos AXB s cosstet e coe mt A d ugmeted mt K e o sme k Let AX B e system o equtos o '' ukows d ks o coe mt d k o ugmeted mt I, e AX B s cosstt,.e. t hs o soluto I e AXB s cosstt, t hs uque soluto I < e AXB s cosstt d t hs tely my ume o solutos Rdom Vs- Dstutos & Sttstcs. Fo polty dstuto w ge (,, ----) d P( ) e e poltes e me µ Σ P(- ) Vce σ Σ p -µ Stdd devto vce. I e postve tege p e el ume such t 0 P dom v X w ge (0,,,----) s sd to ollows oml dstuto. Fo Boml dstuto o (q+p) ) polty o occuece p ) polty o o occuece q ) p + q v) polty o '' successes P ( ) q p v) Me µ p v) Vce pq v) Stdd devto pq. I ume o tls e lge d po-lty o success s vey smll e posso dstuto s used d gve s k e P( k) λ λ k. ) I,,,... e vlues o vt, e ts Ametc Me ) Fo dvdul sees I A s ssumed vege e A.M ( A) A+ ) Fo dscete equecy dstuto: d A whee d A + N v) Med F l+ whee l Lowe lmt o Med clss equecy N Σ Wd o Med clss F umultve equecy o clss just pecedg to med clss v) Fst o lowe Qut devto N F Q l +. whee equecy o st qu clss F cumultve equecy o e clss just pecedg to st qut clss v) uppequtdevto m v) Mode Z l+. whee m l lowe lmt o modl clss w mmum equecy equecy pecedg modl clss equecy successve modl clss equecy o modl clss v) Mode Med - Me Q ) Qut devto Q ) coecet o qut devto N F Q l+. Q Q Q + Q ) coecet o Rge Rge Mmum + Mmum VETORS. A system o vectos,,... e sd to e lely depedet e ests scls,.... Such t Ay ee o copl vectos e le-ly depedet A system o vectos,,... e sd to e lely depedet ee tst oe o 0,,,. Ad detemt. Ay two colle vectos, y ee copl vectos e lely depedet. Ay set o vectos cotg ull vectos s lely depedet. I ABDEF s egul hego w cete 'G' e AB + A + AD + AE + AF AD 6AG. 5. Vecto equto o sphee w cete t c d dus s c o. c+ c 6., e eds o dmete e equto o sphee (. ) 7. I, e ut vectos e ut vecto log secto o AOB s ( + + ) o + ± + 8. Vecto log tel gul secto s ± λ + 9. I 'I' s cete o AB e,

4 0. I 'S' s ccum cete o AB e, SA + SB + S SO. I 'S' s ccum cete, 'O' s oocete o AB e, OA + OB + O OS. I (,, ) & es e otted ough ) - s (, cosα + s α, cosα + s(90 α) ) y - s ( cos( 90 + α) + s ( 90 + α),,( cos α + s α)) ) z - s ( cosα + s α, ( cos( 90 + α) + s ( 90 + α), )) I 'O' s ccumcete o AB e Σ OAs A OA + OB + O (osde equltel ).. cosθ whee 0 θ 80 ). > 0 0< θ < 90 θ s cute ). < 0 90 < θ < 80 θ s otuse ). θ 90 two vectos e to ech oe.. I ght gd AB, AB s e hypoteuse d AB P e AB. B + B. A + A. AB P 5. AB s equltel tg o sde '' e AB. B AB. B + B. A + A. AB 6. B IA + A IB + AB I. +. j + k. ; + j + k 7. Vecto equto. o le pssg ough e pot A w P.V. d pll to '' s + t 8. Vecto equto o le pssg ough A (), B () s (-t) +t 9. Vecto equto. o le pssg ough & to c, + t( c) 0. Vecto equto. o p pssg ough pt A () d- pll to o-colle vectos & c s + s+ tc. s,t R d lso gve s c c c. Vecto equto. o p pssg ough ee o-colle Pots. A (), B (), c () s AB A AP.e + s + t c ( s t) + s+ sc,, c. Vecto equto. o p pssg ough pts A () B() d pll to () c s AP AB. Vecto equto o p, t dstce p (p >0) om og d to s. p. Pepedcul dstce om og to p pssg ough,,c c c + c + 5. P pssg ough d pll to,c s [ -, - c] d [ c] [c] 6. Vecto equto o p pssg ough A,B, w posto vectos,,c s [ -, -, c-] 0 d.[ c + c + ] c 7. Let, 0 e two vectos. The ) The compoet o o s. ) The pojecto o o s (. ). 8. ) The compoet o o s (. ) ) e pojecto o o s ) e pojecto o o vecto pepe-dcul to' ' e p geeted y (. ), s 9. I, e two ozeo vectos e. cos (, ) 0. I, e ot pll e s pepedcul to o o e vectos,.. I, e ot pll e., om ght hded system.. I, e ot pll e s (. ) d hece. I s y vecto e. I, e two vectos e s cld tcommuttve lw. 6. I, e two ozeo vectos, e s (, ) 7. I AB s tg such t AB, A e e vecto e o AB s d scl e s [ ] 8. I,,c e e posto vectos o e vetces o tg, e e vecto e o e tg + c+ c 9. I ABD s pllogm AB, B d e e vecto e o ABD s l l 0. The g o e pojecto o o vecto pepedcul to e p geeted y, s. The pepedcul dstce om pot P to e le jog e pots A,B s AP AB AB. Toque: The toque o vecto momet o momet vecto M o oce F out pot P s deed s M F whee s e vecto om e pot P to y pot A o e le o cto L o F..,,c e copl e [c]0. Volume o pllopped [c] w,, c s cotemus edges. 5. The volume o e teedo ABD s ± AB A AD 6 6. I,,c e ee cotemous edges o teedo e e volume o e teedo ± [ ] 6 c 7. The ou pots A,B,,D e copl AB A AD 8. The shotest dstce etwee e skew les +s d c+ td s [ c, d] d 9. I,j,k e ut vectos e [ j k] 50. I,,c e vectos e [+, +c, c+] [c]

5 5. [, c, c ] (c) 5. Σ ( ) c. d. 5. ( )(. c d) c. d. 55. I A,B,,D e ou pots, d AB D + B AD + A BD ( AB ) c c 56.,, c [ c] [ c] [ c] e cld ecpocl system o vectos 57. I,,c e ee vectos e [ c] [ c ] [c ] -[ c] -[c ] -[ c ] 58.Thee vectos e copl det I + j + k, + j + k, + j + ck whee c e copl e + + ) c ) + + c c Pepto Tps - Memtcs Memozg ld mk poms (emem-eg stdd omu, cocepts so t you c pply em dectly) d eg stog metl clcultos e essetl (Neve use e clculto dug you ete AIEEE pepto. Ty to do st d sec-od vel o clcultos metlly You e gog to ppe o AIEEE s ye, you must e vey codet, do't p-c,t s ot dcult d tough. You eed to some specl tps d tcks to solve e AIEEE questos to get e top k. Do't ty to tke up ew topcs s ey co-sume tme, you wll lso lose you code-ce o e topcs t you hve ledy pe-ped. Do't ty to ttempt 00% o e ppe ul-ess you e 00% codet: It s ot ece-ssy to ttempt e ete questo ppe, Do't ty you e ot sue d codet s ee s egtve mkg. I you e codet out 60% o e questos, t wll e eough to get good k. Neve swe questos ldly. Be wse, peplg s vey mpott. Thee e mly ee dculty vels, s-mp, tough d vege. Fst ty to sh ll e smp questos to oost you o-dece. Do't oget to solve questo ppes o pevous yes AIEEE eoe e emt-o. As you pepe o e od emt-o, you should lso pepe d solve e lst ye questo ppes o AIEEE. You lso eed to set e hous tme o ech d evey pevous ye ppe, t wll help you to judge yousel, d s wll t you kow you wek d stog es. You wll gdully ecome codet. You eed to cove you ete syllus ut do't ty to touch y ew topc e e-mto s close y. Most o e questos AIEEE e ot d-cult. They e just deet & ey equ-e deet ppoch d deet m-dset. Ech questo hs emet o su-pse t & studet who s dept tck-lg 'supse questos' s most lkely to sl ough successully. It s vey mpott to udestd wht you hve to ttempt d wht you hve to omt. Thee s lmt to whch you c mpove you speed d stke te eyod whch wht ecomes vey mpott s you sec-to o questo. So success depeds upo how judcously oe s to sect e questos. To optmze you peomce you should quckly sc o esy questos d come ck to e dcult oes lte. Rememe t cut-o most o e e-ms moves etwee 60 to 70%. So you o-cus o esy d vege questo.e. 85% o e questos, you c esly scoe 70% mks wout eve ttemptg dcult qu-estos. Ty to esue t e tl hous o e ppe e ocus should e c-ly o esy d vege questos, Ate hous you c decde whee you wt to move to dcult questos o evse e oes ttempted to esue hgh stke te. Topc-wse tps Tgoomety: I tgoomety, studets usully d t d-cult to memoze e vst ume o omul-e. Udestd how to deve omu d e pply em to solvg poms.the mo-e you pctce, e moe ged you - ese omu wll e, elg you to e-cll em y stuto. Dect questos om tgoomety e usully ss ume, ut e use o tgoometc cocepts oo-dte Geomety & lculus s vey pouse. oodte Geomety: Ths secto s usully cosdeed ese tgoomety. Thee e my commo coc-epts d omu (such s equtos o tg-et d oml to cuve) coc sectos (cc, pol, ellpse, hypeol). Py tt-eto to Locus d elted topcs, s e udestdg o ese mkes coodte Geome-ty esy. lculus: lculus cludes cocept-sed poms whch eque lytcl sklls. Fuctos e e ckoe o s secto. Be oough w popetes o ll types o uctos, such s tgoometc, lgec, vese tgoom-etc, logmc, epoetl, d sgum. Appomtg sketches d gphcl tep-ettos wll help you solve poms ste. Pctcl pplcto o devtves s vey vst e, ut you udestd e sc cocepts volved, t s vey esy to scoe. Alge: Do't use omu to solve poms top-cs whch e logc-oeted, such s pemut-tos d comtos, polty, locto o oots o qudtc, geometcl pplct-os o comp umes, vectos, d D-geomety. AIEEE 009 Memtcs Secto Alyss o BSE syllus O ll e ee sectos e AIEEE 009 ppe, e Memtcs secto ws e toughest. Questos wee eqully dvded etwee e syll o lss XI d XII. My cddtes stuggd w e lculus d oodte Geomety potos. lss XI Syllus Topc No. o Questos Tgoomety Alge (XI) 6 oodte Geomety 5 Sttstcs -D (XI) lss XII Syllus Topc No. o Questos lculus 8 Alge (XII) Polty -D (XII) Vectos

GCE AS and A Level MATHEMATICS FORMULA BOOKLET. From September Issued WJEC CBAC Ltd.

GCE AS and A Level MATHEMATICS FORMULA BOOKLET. From September Issued WJEC CBAC Ltd. GCE AS d A Level MATHEMATICS FORMULA BOOKLET Fom Septeme 07 Issued 07 Pue Mthemtcs Mesuto Suce e o sphee = 4 Ae o cuved suce o coe = heght slt Athmetc Sees S = + l = [ + d] Geometc Sees S = S = o < Summtos

More information

SOLVING SYSTEMS OF EQUATIONS, DIRECT METHODS

SOLVING SYSTEMS OF EQUATIONS, DIRECT METHODS ELM Numecl Alyss D Muhem Mecmek SOLVING SYSTEMS OF EQUATIONS DIRECT METHODS ELM Numecl Alyss Some of the cotets e dopted fom Luee V. Fusett Appled Numecl Alyss usg MATLAB. Petce Hll Ic. 999 ELM Numecl

More information

SOME REMARKS ON HORIZONTAL, SLANT, PARABOLIC AND POLYNOMIAL ASYMPTOTE

SOME REMARKS ON HORIZONTAL, SLANT, PARABOLIC AND POLYNOMIAL ASYMPTOTE D I D A C T I C S O F A T H E A T I C S No (4) 3 SOE REARKS ON HORIZONTAL, SLANT, PARABOLIC AND POLYNOIAL ASYPTOTE Tdeusz Jszk Abstct I the techg o clculus, we cosde hozotl d slt symptote I ths ppe the

More information

The formulae in this booklet have been arranged according to the unit in which they are first

The formulae in this booklet have been arranged according to the unit in which they are first Fomule Booklet Fomule Booklet The fomule ths ooklet hve ee ge og to the ut whh the e fst toue. Thus te sttg ut m e eque to use the fomule tht wee toue peeg ut e.g. tes sttg C mght e epete to use fomule

More information

GCE AS/A Level MATHEMATICS GCE AS/A Level FURTHER MATHEMATICS

GCE AS/A Level MATHEMATICS GCE AS/A Level FURTHER MATHEMATICS GCE AS/A Level MATHEMATICS GCE AS/A Level FURTHER MATHEMATICS FORMULA BOOKLET Fom Septembe 07 Issued 07 Mesuto Pue Mthemtcs Sufce e of sphee = 4 Ae of cuved sufce of coe = slt heght Athmetc Sees S l d

More information

The formulae in this booklet have been arranged according to the unit in which they are first

The formulae in this booklet have been arranged according to the unit in which they are first Fomule Booklet Fomule Booklet The fomule ths ooklet hve ee ge ccog to the ut whch the e fst touce. Thus cte sttg ut m e eque to use the fomule tht wee touce peceg ut e.g. ctes sttg C mght e epecte to use

More information

Chapter Linear Regression

Chapter Linear Regression Chpte 6.3 Le Regesso Afte edg ths chpte, ou should be ble to. defe egesso,. use sevel mmzg of esdul cte to choose the ght cteo, 3. deve the costts of le egesso model bsed o lest sques method cteo,. use

More information

Chapter 17. Least Square Regression

Chapter 17. Least Square Regression The Islmc Uvest of Gz Fcult of Egeeg Cvl Egeeg Deptmet Numecl Alss ECIV 336 Chpte 7 Lest que Regesso Assocte Pof. Mze Abultef Cvl Egeeg Deptmet, The Islmc Uvest of Gz Pt 5 - CURVE FITTING Descbes techques

More information

For use in Edexcel Advanced Subsidiary GCE and Advanced GCE examinations

For use in Edexcel Advanced Subsidiary GCE and Advanced GCE examinations GCE Edecel GCE Mthemtcs Mthemtcl Fomule d Sttstcl Tles Fo use Edecel Advced Susd GCE d Advced GCE emtos Coe Mthemtcs C C4 Futhe Pue Mthemtcs FP FP Mechcs M M5 Sttstcs S S4 Fo use fom Ju 008 UA08598 TABLE

More information

Advanced Higher Maths: Formulae

Advanced Higher Maths: Formulae Advced Highe Mths: Fomule Advced Highe Mthemtics Gee (G): Fomule you solutely must memoise i ode to pss Advced Highe mths. Rememe you get o fomul sheet t ll i the em! Ame (A): You do t hve to memoise these

More information

THIS PAGE DECLASSIFIED IAW E

THIS PAGE DECLASSIFIED IAW E THS PAGE DECLASSFED AW E0 2958 BL K THS PAGE DECLASSFED AW E0 2958 THS PAGE DECLASSFED AW E0 2958 B L K THS PAGE DECLASSFED AW E0 2958 THS PAGE DECLASSFED AW EO 2958 THS PAGE DECLASSFED AW EO 2958 THS

More information

CBSE , ˆj. cos CBSE_2015_SET-1. SECTION A 1. Given that a 2iˆ ˆj. We need to find. 3. Consider the vector equation of the plane.

CBSE , ˆj. cos CBSE_2015_SET-1. SECTION A 1. Given that a 2iˆ ˆj. We need to find. 3. Consider the vector equation of the plane. CBSE CBSE SET- SECTION. Gv tht d W d to fd 7 7 Hc, 7 7 7. Lt,. W ow tht.. Thus,. Cosd th vcto quto of th pl.. z. - + z = - + z = Thus th Cts quto of th pl s - + z = Lt d th dstc tw th pot,, - to th pl.

More information

Describes techniques to fit curves (curve fitting) to discrete data to obtain intermediate estimates.

Describes techniques to fit curves (curve fitting) to discrete data to obtain intermediate estimates. CURVE FITTING Descbes techques to ft cuves (cuve fttg) to dscete dt to obt temedte estmtes. Thee e two geel ppoches fo cuve fttg: Regesso: Dt ehbt sgfct degee of sctte. The stteg s to deve sgle cuve tht

More information

BINOMIAL THEOREM SOLUTION. 1. (D) n. = (C 0 + C 1 x +C 2 x C n x n ) (1+ x+ x 2 +.)

BINOMIAL THEOREM SOLUTION. 1. (D) n. = (C 0 + C 1 x +C 2 x C n x n ) (1+ x+ x 2 +.) BINOMIAL THEOREM SOLUTION. (D) ( + + +... + ) (+ + +.) The coefficiet of + + + +... + fo. Moeove coefficiet of is + + + +... + if >. So. (B)... e!!!! The equied coefficiet coefficiet of i e -.!...!. (A),

More information

148 CIVIL ENGINEERING

148 CIVIL ENGINEERING STRUTUR NYSS fluee es fo Bems d Tusses fluee le sows te vto of effet (eto, se d momet ems, foe tuss) used movg ut lod oss te stutue. fluee le s used to deteme te posto of movele set of lods tt uses te

More information

CBSE SAMPLE PAPER SOLUTIONS CLASS-XII MATHS SET-2 CBSE , ˆj. cos. SECTION A 1. Given that a 2iˆ ˆj. We need to find

CBSE SAMPLE PAPER SOLUTIONS CLASS-XII MATHS SET-2 CBSE , ˆj. cos. SECTION A 1. Given that a 2iˆ ˆj. We need to find BSE SMLE ER SOLUTONS LSS-X MTHS SET- BSE SETON Gv tht d W d to fd 7 7 Hc, 7 7 7 Lt, W ow tht Thus, osd th vcto quto of th pl z - + z = - + z = Thus th ts quto of th pl s - + z = Lt d th dstc tw th pot,,

More information

IFYFM002 Further Maths Appendix C Formula Booklet

IFYFM002 Further Maths Appendix C Formula Booklet Ittol Foudto Y (IFY) IFYFM00 Futh Mths Appd C Fomul Booklt Rltd Documts: IFY Futh Mthmtcs Syllbus 07/8 Cotts Mthmtcs Fomul L Equtos d Mtcs... Qudtc Equtos d Rmd Thom... Boml Epsos, Squcs d Ss... Idcs,

More information

COMPLEX NUMBERS AND DE MOIVRE S THEOREM

COMPLEX NUMBERS AND DE MOIVRE S THEOREM COMPLEX NUMBERS AND DE MOIVRE S THEOREM OBJECTIVE PROBLEMS. s equl to b d. 9 9 b 9 9 d. The mgr prt of s 5 5 b 5. If m, the the lest tegrl vlue of m s b 8 5. The vlue of 5... s f s eve, f s odd b f s eve,

More information

Professor Wei Zhu. 1. Sampling from the Normal Population

Professor Wei Zhu. 1. Sampling from the Normal Population AMS570 Pofesso We Zhu. Samplg fom the Nomal Populato *Example: We wsh to estmate the dstbuto of heghts of adult US male. It s beleved that the heght of adult US male follows a omal dstbuto N(, ) Def. Smple

More information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

this is the indefinite integral Since integration is the reverse of differentiation we can check the previous by [ ]

this is the indefinite integral Since integration is the reverse of differentiation we can check the previous by [ ] Atervtves The Itegrl Atervtves Ojectve: Use efte tegrl otto for tervtves. Use sc tegrto rules to f tervtves. Aother mportt questo clculus s gve ervtve f the fucto tht t cme from. Ths s the process kow

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

SULIT 3472/2. Rumus-rumus berikut boleh membantu anda menjawab soalan. Simbol-simbol yang diberi adalah yang biasa digunakan.

SULIT 3472/2. Rumus-rumus berikut boleh membantu anda menjawab soalan. Simbol-simbol yang diberi adalah yang biasa digunakan. SULT 347/ Rumus-umus eikut oleh memtu d mejw sol. Simol-simol yg diei dlh yg is diguk. LGER. 4c x 5. log m log m log 9. T d. m m m 6. log = log m log 0. S d m m 3. 7. log m log m. S, m m logc 4. 8. log.

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

Summary: Binomial Expansion...! r. where

Summary: Binomial Expansion...! r. where Summy: Biomil Epsio 009 M Teo www.techmejcmth-sg.wes.com ) Re-cp of Additiol Mthemtics Biomil Theoem... whee )!!(! () The fomul is ville i MF so studets do ot eed to memoise it. () The fomul pplies oly

More information

= y and Normed Linear Spaces

= y and Normed Linear Spaces 304-50 LINER SYSTEMS Lectue 8: Solutos to = ad Nomed Lea Spaces 73 Fdg N To fd N, we eed to chaacteze all solutos to = 0 Recall that ow opeatos peseve N, so that = 0 = 0 We ca solve = 0 ecusvel backwads

More information

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9

OH BOY! Story. N a r r a t iv e a n d o bj e c t s th ea t e r Fo r a l l a g e s, fr o m th e a ge of 9 OH BOY! O h Boy!, was or igin a lly cr eat ed in F r en ch an d was a m a jor s u cc ess on t h e Fr en ch st a ge f or young au di enc es. It h a s b een s een by ap pr ox i ma t ely 175,000 sp ect at

More information

5 - Determinants. r r. r r. r r. r s r = + det det det

5 - Determinants. r r. r r. r r. r s r = + det det det 5 - Detemts Assote wth y sque mtx A thee s ume lle the etemt of A eote A o et A. Oe wy to efe the etemt, ths futo fom the set of ll mtes to the set of el umes, s y the followg thee popetes. All mtes elow

More information

AS and A Level Further Mathematics B (MEI)

AS and A Level Further Mathematics B (MEI) fod Cmbdge d RSA *3369600* AS d A evel Futhe Mthemtcs B (MEI) The fomto ths booklet s fo the use of cddtes followg the Advced Subsd Futhe Mthemtcs B (MEI)(H635) o the Advced GCE Futhe Mthemtcs B (MEI)

More information

φ (x,y,z) in the direction of a is given by

φ (x,y,z) in the direction of a is given by UNIT-II VECTOR CALCULUS Dectoal devatve The devatve o a pot ucto (scala o vecto) a patcula decto s called ts dectoal devatve alo the decto. The dectoal devatve o a scala pot ucto a ve decto s the ate o

More information

VECTOR MECHANICS FOR ENGINEERS: Vector Mechanics for Engineers: Dynamics. In the current chapter, you will study the motion of systems of particles.

VECTOR MECHANICS FOR ENGINEERS: Vector Mechanics for Engineers: Dynamics. In the current chapter, you will study the motion of systems of particles. Seeth Edto CHPTER 4 VECTOR MECHNICS FOR ENINEERS: DYNMICS Fedad P. ee E. Russell Johsto, J. Systems of Patcles Lectue Notes: J. Walt Ole Texas Tech Uesty 003 The Mcaw-Hll Compaes, Ic. ll ghts eseed. Seeth

More information

YEAR VSA (1 Mark) SA (4 Marks) LA (6 Marks) Total Marks

YEAR VSA (1 Mark) SA (4 Marks) LA (6 Marks) Total Marks VECTOR ALGEBRA D Weghtge 7 Ms SYLLABUS: VECTOR ALGEBRA Vetos sls, mgtue eto of veto Deto oses eto tos of veto Tpes of vetos (equl, ut, eo, pllel olle vetos, posto veto of pot, egtve of veto, ompoets of

More information

Prerna Tower, Road No 2, Contractors Area, Bistupur, Jamshedpur , Tel (0657) ,

Prerna Tower, Road No 2, Contractors Area, Bistupur, Jamshedpur , Tel (0657) , R Pen Towe Rod No Conttos Ae Bistupu Jmshedpu 8 Tel (67)89 www.penlsses.om IIT JEE themtis Ppe II PART III ATHEATICS SECTION I (Totl ks : ) (Single Coet Answe Type) This setion ontins 8 multiple hoie questions.

More information

ME 501A Seminar in Engineering Analysis Page 1

ME 501A Seminar in Engineering Analysis Page 1 Mtr Trsformtos usg Egevectors September 8, Mtr Trsformtos Usg Egevectors Lrry Cretto Mechcl Egeerg A Semr Egeerg Alyss September 8, Outle Revew lst lecture Trsformtos wth mtr of egevectors: = - A ermt

More information

THEORY OF EQUATIONS OBJECTIVE PROBLEMS. If the eqution x 6x 0 0 ) - ) 4) -. If the sum of two oots of the eqution k is -48 ) 6 ) 48 4) 4. If the poduct of two oots of 4 ) -4 ) 4) - 4. If one oot of is

More information

10.3 The Quadratic Formula

10.3 The Quadratic Formula . Te Qudti Fomul We mentioned in te lst setion tt ompleting te sque n e used to solve ny qudti eqution. So we n use it to solve 0. We poeed s follows 0 0 Te lst line of tis we ll te qudti fomul. Te Qudti

More information

E-Companion: Mathematical Proofs

E-Companion: Mathematical Proofs E-omnon: Mthemtcl Poo Poo o emm : Pt DS Sytem y denton o t ey to vey tht t ncee n wth d ncee n We dene } ] : [ { M whee / We let the ttegy et o ech etle n DS e ]} [ ] [ : { M w whee M lge otve nume oth

More information

Insurance Risk EC for XL contracts with an inflation stability clause

Insurance Risk EC for XL contracts with an inflation stability clause suce Rs E fo L cotcts wth flto stlt cluse 40 th t. AT oll. Mdd Jue 9-0 opght 008 FR Belgum V "FRGlol". Aged upemposed flto / stlt cluse suce Rs olutos o-lfe Rs / tdd ppoch o-lfe Rs / tochstc ppoch goss

More information

MTH 146 Class 7 Notes

MTH 146 Class 7 Notes 7.7- Approxmte Itegrto Motvto: MTH 46 Clss 7 Notes I secto 7.5 we lered tht some defte tegrls, lke x e dx, cot e wrtte terms of elemetry fuctos. So, good questo to sk would e: How c oe clculte somethg

More information

In Calculus I you learned an approximation method using a Riemann sum. Recall that the Riemann sum is

In Calculus I you learned an approximation method using a Riemann sum. Recall that the Riemann sum is Mth Sprg 08 L Approxmtg Dete Itegrls I Itroducto We hve studed severl methods tht llow us to d the exct vlues o dete tegrls However, there re some cses whch t s ot possle to evlute dete tegrl exctly I

More information

RECAPITULATION & CONDITIONAL PROBABILITY. Number of favourable events n E Total number of elementary events n S

RECAPITULATION & CONDITIONAL PROBABILITY. Number of favourable events n E Total number of elementary events n S Fomulae Fo u Pobablty By OP Gupta [Ida Awad We, +91-9650 350 480] Impotat Tems, Deftos & Fomulae 01 Bascs Of Pobablty: Let S ad E be the sample space ad a evet a expemet espectvely Numbe of favouable evets

More information

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005.

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005. Techc Appedx fo Iveoy geme fo Assemy Sysem wh Poduc o Compoe eus ecox d Zp geme Scece 2005 Lemm µ µ s c Poof If J d µ > µ he ˆ 0 µ µ µ µ µ µ µ µ Sm gumes essh he esu f µ ˆ > µ > µ > µ o K ˆ If J he so

More information

XII. Addition of many identical spins

XII. Addition of many identical spins XII. Addto of may detcal sps XII.. ymmetc goup ymmetc goup s the goup of all possble pemutatos of obects. I total! elemets cludg detty opeato. Each pemutato s a poduct of a ceta fte umbe of pawse taspostos.

More information

6.6 The Marquardt Algorithm

6.6 The Marquardt Algorithm 6.6 The Mqudt Algothm lmttons of the gdent nd Tylo expnson methods ecstng the Tylo expnson n tems of ch-sque devtves ecstng the gdent sech nto n tetve mtx fomlsm Mqudt's lgothm utomtclly combnes the gdent

More information

Optimality of Strategies for Collapsing Expanded Random Variables In a Simple Random Sample Ed Stanek

Optimality of Strategies for Collapsing Expanded Random Variables In a Simple Random Sample Ed Stanek Optmlt of Strteges for Collpsg Expe Rom Vrles Smple Rom Smple E Stek troucto We revew the propertes of prectors of ler comtos of rom vrles se o rom vrles su-spce of the orgl rom vrles prtculr, we ttempt

More information

Minimizing spherical aberrations Exploiting the existence of conjugate points in spherical lenses

Minimizing spherical aberrations Exploiting the existence of conjugate points in spherical lenses Mmzg sphecal abeatos Explotg the exstece of cojugate pots sphecal leses Let s ecall that whe usg asphecal leses, abeato fee magg occus oly fo a couple of, so called, cojugate pots ( ad the fgue below)

More information

Chapter 2 Reciprocal Lattice. An important concept for analyzing periodic structures

Chapter 2 Reciprocal Lattice. An important concept for analyzing periodic structures Chpt Rcpocl Lttc A mpott cocpt o lyzg podc stuctus Rsos o toducg cpocl lttc Thoy o cystl dcto o x-ys, utos, d lctos. Wh th dcto mxmum? Wht s th tsty? Abstct study o uctos wth th podcty o Bvs lttc Fou tsomto.

More information

Numerical Methods for Eng [ENGR 391] [Lyes KADEM 2007] Direct Method; Newton s Divided Difference; Lagrangian Interpolation; Spline Interpolation.

Numerical Methods for Eng [ENGR 391] [Lyes KADEM 2007] Direct Method; Newton s Divided Difference; Lagrangian Interpolation; Spline Interpolation. Nuecl Methods o Eg [ENGR 39 [Les KADEM 7 CHAPTER V Itepolto d Regesso Topcs Itepolto Regesso Dect Method; Newto s Dvded Deece; Lgg Itepolto; ple Itepolto Le d o-le Wht s tepolto? A ucto s ote gve ol t

More information

Reflection from a surface depends on the quality of the surface and how much light is absorbed during the process. Rays

Reflection from a surface depends on the quality of the surface and how much light is absorbed during the process. Rays Geometc Otcs I bem o lgt s ow d s sot wvelegt comso to te dmeso o y obstcle o etue ts t, te ts bem my be teted s stgt-le y o lgt d ts wve oetes o te momet goed. I ts oxmto, lgt ys e tced toug ec otcs elemet

More information

A Dynamical Quasi-Boolean System

A Dynamical Quasi-Boolean System ULETNUL Uestăţ Petol Gze Ploeşt Vol LX No / - 9 Se Mtetă - otă - Fză l Qs-oole Sste Gel Mose Petole-Gs Uest o Ploest ots etet est 39 Ploest 68 o el: ose@-loesto stt Ths e oes the esto o ol theoetl oet:

More information

ANOTHER INTEGER NUMBER ALGORITHM TO SOLVE LINEAR EQUATIONS (USING CONGRUENCY)

ANOTHER INTEGER NUMBER ALGORITHM TO SOLVE LINEAR EQUATIONS (USING CONGRUENCY) ANOTHER INTEGER NUMBER ALGORITHM TO SOLVE LINEAR EQUATIONS (USING CONGRUENCY) Floet Smdche, Ph D Aocte Pofeo Ch of Deptmet of Mth & Scece Uvety of New Mexco 2 College Rod Gllup, NM 873, USA E-ml: md@um.edu

More information

2. Elementary Linear Algebra Problems

2. Elementary Linear Algebra Problems . Eleety e lge Pole. BS: B e lge Suoute (Pog pge wth PCK) Su of veto opoet:. Coputto y f- poe: () () () (3) N 3 4 5 3 6 4 7 8 Full y tee Depth te tep log()n Veto updte the f- poe wth N : ) ( ) ( ) ( )

More information

Week 8. Topic 2 Properties of Logarithms

Week 8. Topic 2 Properties of Logarithms Week 8 Topic 2 Popeties of Logithms 1 Week 8 Topic 2 Popeties of Logithms Intoduction Since the esult of ithm is n eponent, we hve mny popeties of ithms tht e elted to the popeties of eponents. They e

More information

Advanced Higher Maths: Formulae

Advanced Higher Maths: Formulae : Fomule Gee (G): Fomule you bsolutely must memoise i ode to pss Advced Highe mths. Remembe you get o fomul sheet t ll i the em! Ambe (A): You do t hve to memoise these fomule, s it is possible to deive

More information

Physics 11b Lecture #11

Physics 11b Lecture #11 Physics 11b Lectue #11 Mgnetic Fields Souces of the Mgnetic Field S&J Chpte 9, 3 Wht We Did Lst Time Mgnetic fields e simil to electic fields Only diffeence: no single mgnetic pole Loentz foce Moving chge

More information

Elastic-Plastic Transition of Transversely. Isotropic Thin Rotating Disc

Elastic-Plastic Transition of Transversely. Isotropic Thin Rotating Disc otempoy Egeeg Sceces, Vol., 9, o. 9, 4-44 Elstc-Plstc sto o svesely Isotopc h ottg Dsc Sjeev Shm d Moj Sh Deptmet o Mthemtcs JII Uvesty, -, Secto 6 Nod-7, UP, Id sjt@edml.com, moj_sh7@edml.com stct Elstc-plstc

More information

Electric Potential. and Equipotentials

Electric Potential. and Equipotentials Electic Potentil nd Euipotentils U Electicl Potentil Review: W wok done y foce in going fom to long pth. l d E dl F W dl F θ Δ l d E W U U U Δ Δ l d E W U U U U potentil enegy electic potentil Potentil

More information

Chapter Gauss-Seidel Method

Chapter Gauss-Seidel Method Chpter 04.08 Guss-Sedel Method After redg ths hpter, you should be ble to:. solve set of equtos usg the Guss-Sedel method,. reogze the dvtges d ptflls of the Guss-Sedel method, d. determe uder wht odtos

More information

Chapter 7. Kleene s Theorem. 7.1 Kleene s Theorem. The following theorem is the most important and fundamental result in the theory of FA s:

Chapter 7. Kleene s Theorem. 7.1 Kleene s Theorem. The following theorem is the most important and fundamental result in the theory of FA s: Chpte 7 Kleene s Theoem 7.1 Kleene s Theoem The following theoem is the most impotnt nd fundmentl esult in the theoy of FA s: Theoem 6 Any lnguge tht cn e defined y eithe egul expession, o finite utomt,

More information

Soo King Lim Figure 1: Figure 2: Figure 3: Figure 4: Figure 5: Figure 6: Figure 7: Figure 8: Figure 9: Figure 10: Figure 11:

Soo King Lim Figure 1: Figure 2: Figure 3: Figure 4: Figure 5: Figure 6: Figure 7: Figure 8: Figure 9: Figure 10: Figure 11: Soo Kg Lm 1.0 Nested Fctorl Desg... 1.1 Two-Fctor Nested Desg... 1.1.1 Alss of Vrce... Exmple 1... 5 1.1. Stggered Nested Desg for Equlzg Degree of Freedom... 7 1.1. Three-Fctor Nested Desg... 8 1.1..1

More information

Chapter I Vector Analysis

Chapter I Vector Analysis . Chpte I Vecto nlss . Vecto lgeb j It s well-nown tht n vecto cn be wtten s Vectos obe the followng lgebc ules: scl s ) ( j v v cos ) ( e Commuttv ) ( ssoctve C C ) ( ) ( v j ) ( ) ( ) ( ) ( (v) he lw

More information

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9 C C A 55NED n R 5 0 9 b c c \ { s AS EC 2 5? 9 Con 0 \ 0265 o + s ^! 4 y!! {! w Y n < R > s s = ~ C c [ + * c n j R c C / e A / = + j ) d /! Y 6 ] s v * ^ / ) v } > { ± n S = S w c s y c C { ~! > R = n

More information

Objectives. Learning Outcome. 7.1 Centre of Gravity (C.G.) 7. Statics. Determine the C.G of a lamina (Experimental method)

Objectives. Learning Outcome. 7.1 Centre of Gravity (C.G.) 7. Statics. Determine the C.G of a lamina (Experimental method) Ojectves 7 Statcs 7. Cete of Gavty 7. Equlum of patcles 7.3 Equlum of g oes y Lew Sau oh Leag Outcome (a) efe cete of gavty () state the coto whch the cete of mass s the cete of gavty (c) state the coto

More information

Mathematically, integration is just finding the area under a curve from one point to another. It is b

Mathematically, integration is just finding the area under a curve from one point to another. It is b Numerl Metods or Eg [ENGR 9] [Lyes KADEM 7] CHAPTER VI Numerl Itegrto Tops - Rem sums - Trpezodl rule - Smpso s rule - Rrdso s etrpolto - Guss qudrture rule Mtemtlly, tegrto s just dg te re uder urve rom

More information

under the curve in the first quadrant.

under the curve in the first quadrant. NOTES 5: INTEGRALS Nme: Dte: Perod: LESSON 5. AREAS AND DISTANCES Are uder the curve Are uder f( ), ove the -s, o the dom., Prctce Prolems:. f ( ). Fd the re uder the fucto, ove the - s, etwee,.. f ( )

More information

Lecture 3 summary. C4 Lecture 3 - Jim Libby 1

Lecture 3 summary. C4 Lecture 3 - Jim Libby 1 Lecue su Fes of efeece Ivce ude sfoos oo of H wve fuco: d-fucos Eple: e e - µ µ - Agul oeu s oo geeo Eule gles Geec slos cosevo lws d Noehe s heoe C4 Lecue - Lbb Fes of efeece Cosde fe of efeece O whch

More information

Executive Committee and Officers ( )

Executive Committee and Officers ( ) Gifted and Talented International V o l u m e 2 4, N u m b e r 2, D e c e m b e r, 2 0 0 9. G i f t e d a n d T a l e n t e d I n t e r n a t i o n a2 l 4 ( 2), D e c e m b e r, 2 0 0 9. 1 T h e W o r

More information

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s A g la di ou s F. L. 462 E l ec tr on ic D ev el op me nt A i ng er A.W.S. 371 C. A. M. A l ex an de r 236 A d mi ni st ra ti on R. H. (M rs ) A n dr ew s P. V. 326 O p ti ca l Tr an sm is si on A p ps

More information

P a g e 3 6 of R e p o r t P B 4 / 0 9

P a g e 3 6 of R e p o r t P B 4 / 0 9 P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J

More information

1 4 6 is symmetric 3 SPECIAL MATRICES 3.1 SYMMETRIC MATRICES. Defn: A matrix A is symmetric if and only if A = A, i.e., a ij =a ji i, j. Example 3.1.

1 4 6 is symmetric 3 SPECIAL MATRICES 3.1 SYMMETRIC MATRICES. Defn: A matrix A is symmetric if and only if A = A, i.e., a ij =a ji i, j. Example 3.1. SPECIAL MATRICES SYMMETRIC MATRICES Def: A mtr A s symmetr f d oly f A A, e,, Emple A s symmetr Def: A mtr A s skew symmetr f d oly f A A, e,, Emple A s skew symmetr Remrks: If A s symmetr or skew symmetr,

More information

Maximum likelihood estimate of phylogeny. BIOL 495S/ CS 490B/ MATH 490B/ STAT 490B Introduction to Bioinformatics April 24, 2002

Maximum likelihood estimate of phylogeny. BIOL 495S/ CS 490B/ MATH 490B/ STAT 490B Introduction to Bioinformatics April 24, 2002 Mmm lkelhood eme of phylogey BIO 9S/ S 90B/ MH 90B/ S 90B Iodco o Bofomc pl 00 Ovevew of he pobblc ppoch o phylogey o k ee ccodg o he lkelhood d ee whee d e e of eqece d ee by ee wh leve fo he eqece. he

More information

DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING FLUID MECHANICS III Solutions to Problem Sheet 3

DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING FLUID MECHANICS III Solutions to Problem Sheet 3 DEPATMENT OF CIVIL AND ENVIONMENTAL ENGINEEING FLID MECHANICS III Solutions to Poblem Sheet 3 1. An tmospheic vote is moelle s combintion of viscous coe otting s soli boy with ngul velocity Ω n n iottionl

More information

π,π is the angle FROM a! TO b

π,π is the angle FROM a! TO b Mth 151: 1.2 The Dot Poduct We hve scled vectos (o, multiplied vectos y el nume clled scl) nd dded vectos (in ectngul component fom). Cn we multiply vectos togethe? The nswe is YES! In fct, thee e two

More information

Semiconductors materials

Semiconductors materials Semicoductos mteils Elemetl: Goup IV, Si, Ge Biy compouds: III-V (GAs,GSb, ISb, IP,...) IV-VI (PbS, PbSe, PbTe,...) II-VI (CdSe, CdTe,...) Tey d Qutey compouds: G x Al -x As, G x Al -x As y P -y III IV

More information

ME306 Dynamics, Spring HW1 Solution Key. AB, where θ is the angle between the vectors A and B, the proof

ME306 Dynamics, Spring HW1 Solution Key. AB, where θ is the angle between the vectors A and B, the proof ME6 Dnms, Spng HW Slutn Ke - Pve, gemetll.e. usng wngs sethes n nltll.e. usng equtns n nequltes, tht V then V. Nte: qunttes n l tpee e vets n n egul tpee e sls. Slutn: Let, Then V V V We wnt t pve tht:

More information

SOLUTIONS ( ) ( )! ( ) ( ) ( ) ( )! ( ) ( ) ( ) ( ) n r. r ( Pascal s equation ). n 1. Stepanov Dalpiaz

SOLUTIONS ( ) ( )! ( ) ( ) ( ) ( )! ( ) ( ) ( ) ( ) n r. r ( Pascal s equation ). n 1. Stepanov Dalpiaz STAT UIU Pctice Poblems # SOLUTIONS Stepov Dlpiz The followig e umbe of pctice poblems tht my be helpful fo completig the homewo, d will liely be vey useful fo studyig fo ems...-.-.- Pove (show) tht. (

More information

NATIONAL SENIOR CERTIFICATE NASIONALE SENIOR SERTIFIKAAT GRADE 12/GRAAD 12

NATIONAL SENIOR CERTIFICATE NASIONALE SENIOR SERTIFIKAAT GRADE 12/GRAAD 12 NAIONAL ENIOR CERIFICAE NAIONALE ENIOR ERIFIKAA GRADE /GRAAD MAHEMAIC P/WIKUNDE V NOVEMBER 7 MARKING GUIDELINE/NAIENRIGLYNE MARK/PUNE: 5 is memodum cosists o pges. Hiedie memodum best uit bldsye. Copyigt

More information

PhysicsAndMathsTutor.com

PhysicsAndMathsTutor.com PhysicsAdMthsTuto.com PhysicsAdMthsTuto.com Jue 009 7. () Sketch the gph of y, whee >, showig the coodites of the poits whee the gph meets the es. () Leve lk () Solve, >. (c) Fid the set of vlues of fo

More information

Exponential Generating Functions - J. T. Butler

Exponential Generating Functions - J. T. Butler Epoetal Geeatg Fuctos - J. T. Butle Epoetal Geeatg Fuctos Geeatg fuctos fo pemutatos. Defto: a +a +a 2 2 + a + s the oday geeatg fucto fo the sequece of teges (a, a, a 2, a, ). Ep. Ge. Fuc.- J. T. Butle

More information

I N A C O M P L E X W O R L D

I N A C O M P L E X W O R L D IS L A M I C E C O N O M I C S I N A C O M P L E X W O R L D E x p l o r a t i o n s i n A g-b eanste d S i m u l a t i o n S a m i A l-s u w a i l e m 1 4 2 9 H 2 0 0 8 I s l a m i c D e v e l o p m e

More information

( m is the length of columns of A ) spanned by the columns of A : . Select those columns of B that contain a pivot; say those are Bi

( m is the length of columns of A ) spanned by the columns of A : . Select those columns of B that contain a pivot; say those are Bi Assgmet /MATH 47/Wte Due: Thusday Jauay The poblems to solve ae umbeed [] to [] below Fst some explaatoy otes Fdg a bass of the colum-space of a max ad povg that the colum ak (dmeso of the colum space)

More information

PROGRESSION AND SERIES

PROGRESSION AND SERIES INTRODUCTION PROGRESSION AND SERIES A gemet of umbes {,,,,, } ccodig to some well defied ule o set of ules is clled sequece Moe pecisely, we my defie sequece s fuctio whose domi is some subset of set of

More information

Calculus 241, section 12.2 Limits/Continuity & 12.3 Derivatives/Integrals notes by Tim Pilachowski r r r =, with a domain of real ( )

Calculus 241, section 12.2 Limits/Continuity & 12.3 Derivatives/Integrals notes by Tim Pilachowski r r r =, with a domain of real ( ) Clculu 4, econ Lm/Connuy & Devve/Inel noe y Tm Plchow, wh domn o el Wh we hve o : veco-vlued uncon, ( ) ( ) ( ) j ( ) nume nd ne o veco The uncon, nd A w done wh eul uncon ( x) nd connuy e he componen

More information

Chapter Simpson s 1/3 Rule of Integration. ( x)

Chapter Simpson s 1/3 Rule of Integration. ( x) Cpter 7. Smpso s / Rule o Itegrto Ater redg ts pter, you sould e le to. derve te ormul or Smpso s / rule o tegrto,. use Smpso s / rule t to solve tegrls,. develop te ormul or multple-segmet Smpso s / rule

More information

Topics for Review for Final Exam in Calculus 16A

Topics for Review for Final Exam in Calculus 16A Topics fo Review fo Finl Em in Clculus 16A Instucto: Zvezdelin Stnkov Contents 1. Definitions 1. Theoems nd Poblem Solving Techniques 1 3. Eecises to Review 5 4. Chet Sheet 5 1. Definitions Undestnd the

More information

Transmuted Generalized Lindley Distribution

Transmuted Generalized Lindley Distribution Itetol Joul of Memtcs Teds d Techology- olume9 Numbe Juy 06 Tsmuted Geelzed Ldley Dstbuto M. Elghy, M.Rshed d A.W.Shwk 3, Buydh colleges, Deptmet of Memtcl Sttstcs, KSA.,, 3 Isttute of Sttstcl Studes d

More information

Parameter Estimation and Hypothesis Testing of Two Negative Binomial Distribution Population with Missing Data

Parameter Estimation and Hypothesis Testing of Two Negative Binomial Distribution Population with Missing Data Avlble ole wwwsceceeccom Physcs Poce 0 475 480 0 Ieol Cofeece o Mecl Physcs Bomecl ee Pmee smo Hyohess es of wo Neve Boml Dsbuo Poulo wh Mss D Zhwe Zho Collee of MhemcsJl Noml UvesyS Ch zhozhwe@6com Absc

More information

MATHEMATICS II PUC VECTOR ALGEBRA QUESTIONS & ANSWER

MATHEMATICS II PUC VECTOR ALGEBRA QUESTIONS & ANSWER MATHEMATICS II PUC VECTOR ALGEBRA QUESTIONS & ANSWER I One M Queston Fnd the unt veto n the deton of Let ˆ ˆ 9 Let & If Ae the vetos & equl? But vetos e not equl sne the oespondng omponents e dstnt e detons

More information

Instruction Sheet COOL SERIES DUCT COOL LISTED H NK O. PR D C FE - Re ove r fro e c sed rea. I Page 1 Rev A

Instruction Sheet COOL SERIES DUCT COOL LISTED H NK O. PR D C FE - Re ove r fro e c sed rea. I Page 1 Rev A Instruction Sheet COOL SERIES DUCT COOL C UL R US LISTED H NK O you or urc s g t e D C t oroug y e ore s g / as e OL P ea e rea g product PR D C FE RES - Re ove r fro e c sed rea t m a o se e x o duct

More information

Differential Entropy 吳家麟教授

Differential Entropy 吳家麟教授 Deretl Etropy 吳家麟教授 Deto Let be rdom vrble wt cumultve dstrbuto ucto I F s cotuous te r.v. s sd to be cotuous. Let = F we te dervtve s deed. I te s clled te pd or. Te set were > 0 s clled te support set

More information

Handout 7. Properties of Bloch States and Electron Statistics in Energy Bands

Handout 7. Properties of Bloch States and Electron Statistics in Energy Bands Hdout 7 Popts of Bloch Stts d Elcto Sttstcs Eg Bds I ths lctu ou wll l: Popts of Bloch fuctos Podc boud codtos fo Bloch fuctos Dst of stts -spc Elcto occupto sttstcs g bds ECE 407 Spg 009 Fh R Coll Uvst

More information

Phys 2310 Fri. Oct. 23, 2017 Today s Topics. Begin Chapter 6: More on Geometric Optics Reading for Next Time

Phys 2310 Fri. Oct. 23, 2017 Today s Topics. Begin Chapter 6: More on Geometric Optics Reading for Next Time Py F. Oct., 7 Today Topc Beg Capte 6: Moe o Geometc Optc eadg fo Next Tme Homewok t Week HW # Homewok t week due Mo., Oct. : Capte 4: #47, 57, 59, 6, 6, 6, 6, 67, 7 Supplemetal: Tck ee ad e Sytem Pcple

More information

THIS PAGE DECLASSIFIED IAW EO IRIS u blic Record. Key I fo mation. Ma n: AIR MATERIEL COMM ND. Adm ni trative Mar ings.

THIS PAGE DECLASSIFIED IAW EO IRIS u blic Record. Key I fo mation. Ma n: AIR MATERIEL COMM ND. Adm ni trative Mar ings. T H S PA G E D E CLA SSFED AW E O 2958 RS u blc Recod Key fo maon Ma n AR MATEREL COMM ND D cumen Type Call N u b e 03 V 7 Rcvd Rel 98 / 0 ndexe D 38 Eneed Dae RS l umbe 0 0 4 2 3 5 6 C D QC d Dac A cesson

More information

Advanced Algorithmic Problem Solving Le 3 Arithmetic. Fredrik Heintz Dept of Computer and Information Science Linköping University

Advanced Algorithmic Problem Solving Le 3 Arithmetic. Fredrik Heintz Dept of Computer and Information Science Linköping University Advced Algorthmc Prolem Solvg Le Arthmetc Fredrk Hetz Dept of Computer d Iformto Scece Lköpg Uversty Overvew Arthmetc Iteger multplcto Krtsu s lgorthm Multplcto of polyomls Fst Fourer Trsform Systems of

More information

Difference Sets of Null Density Subsets of

Difference Sets of Null Density Subsets of dvces Pue Mthetcs 95-99 http://ddoog/436/p37 Pulshed Ole M (http://wwwscrpog/oul/p) Dffeece Sets of Null Dest Susets of Dwoud hd Dsted M Hosse Deptet of Mthetcs Uvest of Gul Rsht I El: hd@gulc h@googlelco

More information

Lecture 10: Condensed matter systems

Lecture 10: Condensed matter systems Lectue 0: Codesed matte systems Itoducg matte ts codesed state.! Ams: " Idstgushable patcles ad the quatum atue of matte: # Cosequeces # Revew of deal gas etopy # Femos ad Bosos " Quatum statstcs. # Occupato

More information

Chapter 2 Intro to Math Techniques for Quantum Mechanics

Chapter 2 Intro to Math Techniques for Quantum Mechanics Wter 3 Chem 356: Itroductory Qutum Mechcs Chpter Itro to Mth Techques for Qutum Mechcs... Itro to dfferetl equtos... Boudry Codtos... 5 Prtl dfferetl equtos d seprto of vrbles... 5 Itroducto to Sttstcs...

More information

Data Structures. Element Uniqueness Problem. Hash Tables. Example. Hash Tables. Dana Shapira. 19 x 1. ) h(x 4. ) h(x 2. ) h(x 3. h(x 1. x 4. x 2.

Data Structures. Element Uniqueness Problem. Hash Tables. Example. Hash Tables. Dana Shapira. 19 x 1. ) h(x 4. ) h(x 2. ) h(x 3. h(x 1. x 4. x 2. Element Uniqueness Poblem Dt Stuctues Let x,..., xn < m Detemine whethe thee exist i j such tht x i =x j Sot Algoithm Bucket Sot Dn Shpi Hsh Tbles fo (i=;i

More information

Complete Classification of BKM Lie Superalgebras Possessing Strictly Imaginary Property

Complete Classification of BKM Lie Superalgebras Possessing Strictly Imaginary Property Appled Mthemtcs 4: -5 DOI: 59/m4 Complete Clssfcto of BKM Le Supelges Possessg Stctly Imgy Popety N Sthumoothy K Pydhs Rmu Isttute fo Advced study Mthemtcs Uvesty of Mds Che 6 5 Id Astct I ths ppe complete

More information

VIII Dynamics of Systems of Particles

VIII Dynamics of Systems of Particles VIII Dyacs of Systes of Patcles Cete of ass: Cete of ass Lea oetu of a Syste Agula oetu of a syste Ketc & Potetal Eegy of a Syste oto of Two Iteactg Bodes: The Reduced ass Collsos: o Elastc Collsos R whee:

More information