Flux-linkage equations for 7-winding representation (similar to eq in text)

Size: px
Start display at page:

Download "Flux-linkage equations for 7-winding representation (similar to eq in text)"

Transcription

1 lux-lkge eutos fo 7-wg epesetto (sl to e.. text The oe tes e efe s follows: Stto-stto tes: Stto-oto tes: oto-stto tes: =s+os =os =os =-[s+os(+] =os =os(- =-[s+os(+5] =s =os(- =s =-[s+os(+] =os =s+os(- =os(- =os(- =-[s+os(-9] =os(- =os(- =s(- =-[s+os(+5] =s(- =s =-[s+os(-9] =s(- =s+os(- =os(- =s(- =os(- oto-oto tes: =s(- =s = =s(- =s(- = =s(- = = = == == = = =Y == =Y =

2 So the opt fo of the flux lkge eutos e (e. whh, whe expe wth the expessos fo self utul utes, eoe: S os [ S os ( ] [ S os ( 5 os os s s [ S [ S S os ( ] os ( os ( 9] os( os( s( s( [ [ S S S os ( 5] os ( 9] os ( os( os( s( s( os( os( os os( os( os s( s( s Y s s( s( Y (e. -ex

3 Voltge eutos The oltge eutos eelope hee wll hteze the eletoget ys of the syhoous he. Cose the stto ut s t ppes s g. : g. The uet eto the phses, whh s out of the tels fo geeto opeto, poues flux tht s the egte eto of the espete phse xs (uet eto to the tels woul poue flux tht s the poste eto of the espete phse xs.

4 We ssue tht the eutl outo s ot getlly ouple wth y othe ut. We wte oltge euto fo eh of the phse wgs s follows: We y lso wte oltge euto fo the eutl ut s follows: ( ( Now let s look t the oto uts. Thee e fou of the. g. : -Axs el g. : -Axs pe

5 5 g. : -Axs pe g. 5: -Axs el Puttg ll of these eutos togethe tx fo, we he tht: (e. We wte ths oe optly, sl to e..6 text: (e..6 The pe otto o euto ues tes the ge euto oespos to the euto etfe you text y tht ue, wth soe ofto. eelly, the ofto s the to of the lst oltge euto fo the -ut.

6 otto fo Pk s Tsfoto We ese to get the oe euto to stte-spe fo ( x Ax so tht we oe t wth ou etl eutos the pply uel tegto sole the togethe. o ot lose sght tht ths s ou ojete. We ote, howee, tht we he two types of elte stte les the oe eutos: flux lkges ( uets (. We elte oe of the, ths s ot h se flux lkges e expesse s futos of the uets tht poue the. o exple, fo sgle outo, we wte tht = (see lso e. ( t the egg of ths ouet. But e..6 hs etes o. Ag, o pole, se /t=(/t. It s hee tht we u to toule, se the utes tht we e elg wth e, geel, futos of, whh s tself futo of te. Theefoe the utes e futos of te, ffeetto of flux lkges esults expessos lke: t t The ffeetto wth espet to, /t, wll esult te-yg oeffet o the stte le. Whe we eple, e..6, the etes o wth the etes t 6

7 o, the sole fo the etes o ( oe to ot x Ax, we wll ot uet les o the ght-hse tht he te yg oeffets,.e., the oeffet tx A wll ot e ostt. Ths es tht we wll he to el wth ffeetl eutos wth te yg oeffets, whh e geelly oe ffult to sole th ffeetl eutos wth ostt oeffets. Ths pesets soe sgft ffultes, tes of soluto, tht we woul lke to o. We look fo ffeet ppoh. We wll f the ffeet ppoh ot oly soles ths pole ut offes us wth sple ew uestg of syhoous he eletoget ys. The ffeet ppoh s se o the oseto tht ou toule oes fo the utes elte to the stto (phse wgs: Stto self utes Stto-stto utul utes Stto-oto utul utes.e., ll of these he te-yg utes. I oe to llete the toule, we wll pojet the -- uets oto p of xes whh we wll ll the xes o the - xes whh e ottg oote fe of efeee. Although we y spefy the spee of these xes 7

8 to e y spee tht s oeet fo us, we wll geelly spefy t to e syhoous spee. I kg these pojetos, we wt to ot expessos fo the opoets of the stto uets tht e phse wth the xes. Oe sulze the pojeto y thkg of the -- uets s hg susol to IN TIE log the espete xes. The ptue elow llusttes fo the -phse. -xs θ -xs ' g. 6 We osee fo g. 6 tht wll he opoet the -xs eto of osθ opoet the -xs eto of sθ. eoposg the -phse uet the -phse uet the se wy, the g the up, poes us wth: 8

9 k k os s os( os( s( s( Hee, the ostts k k e hose so s to splfy the uel oeffets the geelze KV eutos tht we wll get. We he tsfoe les,, to two les. Ths yels ue-etee syste, eg We uuely tsfo,, to We ot uuely tsfo to,, (uless thee s othe ostt suh s ++= So we ee th uet. We tke ths uet popotol to the zeo-seuee uet: k (-zeo We ote tht, ue le otos, s zeo, theefoe poues o flux. I ft, t s possle to show tht poues o flux whh lks the oto wgs t ll (see Coo s ook, pg. lso Kk Vol III, pg. 6. The plto s tht ue ll otos, se e eulet to, se flux fo oes ot lk wth othe uts, the, poue the ext se flux lkge s,,. We wte ou tsfoto oe optly s: 9

10 o k k k k k k os os( os( k s k s( k s( P P (e.. We y lso opete o oltges fluxes the se wy: P P, (e..7 Ths tsfoto esulte fo the wok oe y Bloel (9, ohety Nkle (96, Pk (99, 9, s esult, s usully lle Pk s tsfoto, the tsfoto tx P s usully lle Pk s tsfoto tx o just Pk s tx. I, Pk s 99 ppe ws ote the ost pott ppe of the lst yes (eh otesue s ppe o syetl opoets., Pk, Two eto theoy of syhoous hes, Tstos of the AIEE,. 8, p. 76-7, 99.. Heyt, S. Vekt, N. Bljepll, Hgh pt ppes powe egeeg, 9-999, NAPS,. See fo teestg ogphy o Pk, wtte y Chles Coo (hself oe of the ost fous powe syste egees ee!, eplte elow, togethe wth stteet tht ws poste to the Poweloe few yes go.

11

12 o eet Poweloe susso: The el fouto of ost of the syhoous he theoy tlke toy ws l ppe y eh Egee, Bloel, who ws the fst to popose "two eto theoy" 895. The ohety Nkle pulshe extese lyss of syhoous hes usg two eto theoy ue of ppes etwee At the ehest of Chle Coo (s tol y Chle hself, Pk pulshe thee ppes 98 to 9 ogze the wok of ohety Nkle tx fo tht s wht s est kow toy tes of Pk's Tsfoto. Coo Pk wee ollegues E t tht te. - O lk

13 I Pk s ogl ppe, he use k=/, k=/, k=-/ (he ssue the -xs s leg the -xs; f he woul he ssue the -xs s lggg the -xs, s we he oe, the he woul he h k=/. Howee, thee e two stges wth ths hoe:. The tsfoto s ot othogol. Ths es tht P - P T. If the tsfoto wee othogol (P - =P T, the the powe lulto, whh s T p p T, s lso ge y ( s theefoe lle powe t y you ook. Ths e poe (see e.. text s follows. o oe es..,.7, P T T p P P P ellg tht ( T = T T, the oe s: p T o T T o, we y wte: T T P P P P o. The tsfoe utul utes, whe pe-utze, o ot poe tht jk=kj, plyg tht the pe-ut ute tx s ot syet. Ths peets us fo fg el physl ut to use oelg the tsfoe syste. See text, pg. 88 fo oe o ths. I oe to oeoe these poles, we (Aeso ou ke ffeet hoe of ostts, og to:

14 k, k k The hoe of k, whe pple to e. (-zeo oe, esults : So we see tht the fto s the ultple o ll thee eutos, esultg Pk s tsfoto ( the oe tht we wll use s: os s os( s( os( s( P (.5 Aothe hoe of oeffets s to hoose the s /, /, /, espetely, whh uses the gtue of the - uttes to e eul to tht of the thee-phse uttes. Ths hoe, use y Kk Vol III, es. (6 (wth egto fo oeffet ue to use of leg -xs, s efee to s gtue e, whh we poe elow fo the euto oly (ut ths uses / ultple fot of the powe expesso so s ot powe-t. k os os( os(

15 POO: et =Aos(ωt; =Aos(ωt-; =Aos(ωt- susttute to euto: k Aost os Aos( t os( Aos( t os( k Aos t os os( t os( os( t os( Now use tg etty: os(uos(=(/[ os(u-+os(u+ ] k A os( t os( t os( t os( t os( t os( t k A os( t os( t os( t os( t os( t os( t Now ollet tes ωt-θ ple kets ou wht s left: k A os( t os( t os( t os( t Osee tht wht s the kets s zeo! Theefoe: k A k A os( t os( t Now ote tht fo ka/=a (thus heg gtue e fo the uet, we ust he k=/. E. We ke two oe oets out Pk s tsfoto. st, euse t s othogol, the ese s esy to ot t s just P T, ge expltly s follows: osθ sθ P = [ os (θ π s (θ π os (θ + π s (θ + π ] (.9 5

16 Seo, the gle θ e geelze y hoosg y tl gle y spee, esultg ( ( t whee ɣ s uy le of tegto. Although Pk hose the spee to e the syhoous spee ( so wll we, t e y ostt o yg gul eloty o t y e sttoy. You wll ofte he of the ty efeee fe. The phse ty stes fo the ft tht the gul eloty of the geelze tsfoto s uspefe e selete tly to expete the soluto of the eutos o to stsfy the syste ostts [see Kuse s ook fo oe o geelze efeee fe theoy]. Pk s Tsfoto Apple tovoltge eutos fo 7-wg epesetto Now pefo the Pk s tsfoto o oth ses of the oltge euto (e.. o.6. Note tht we pply P to oly the -- uttes,.e., we lee the --- uttes loe se these uttes e ley o the oto ( the oto-oto utes e ley ostts. Ths es we ee to ultply e. (. o.6 though y tx P U ell (.6 s: whee U s x etty tx. 6

17 ultplyg though y ou tx, we ot: (e..6 P P P P U U U U t e te t e (e. te We ee to expess e. (te tes of -- uttes. I wht follows, we o ths oe te t te. Ou geel poeue wll e to eple the -- uttes wth -- uttes the splfy. te The esest oe s te, so we wll eg wth t. Te : P P U Te : P U Note tht P U Susttuto yels: P U 7

18 P P U P U P U P P Note tht the uppe left-h eleet hs gol tx the le of two othogol tes. P t: If P s ogthogol, the gol hg eul eleets o the gol. P f s You test ths s follows. et A It s esy to show ths s othogol usg A A T =U. The ty ultplyg A A T whee. It s esy to poe s follows. If s gol tx wth ll of ts gol eleets the se, ll the, the =U. The AA T = AUA T = AUA T =AA T =U=. 8

19 Hee, we wll ssue == whh s ey typl of syhoous hes sply ples tht ll phse wgs e eul legth wth the se type of outo, whh s lwys the se. Theefoe te s just: P U P P epetg ou euto (te hee fo oeee. P P P P U U U U t e te ellg wht we he oe so f: TE : TE : P P U t e te 9

20 P U P P Susttutg, we ot: P P U U te te te te e. (te Now we osee tht tes he les ot tes of -- uttes. We wok o te ext (efoe te euse t s ese. Te : Osee tht =[ ] T. Theefoe, whe we ultply P, we get eleets the seo th ows of P eg sle y the se ostt ( the sue. Cose these eleets the seo th ows of P, elow. P os s os( s( os( s( So the pout of the seo ow wth, o of the th ow, wll lue suto of syetl opoets,

21 whh wll e zeo. So the oly o-zeo eleet P wll e the pout of the fst ow of P,.e., the fst eleet of the te eto, whh s (* But ell fo ou ut the oltge euto tes tht: ( ( (** Also, ell tht fo the Pk s tsfoto o=p tht the uet s (pg. : (*** Susttuto of (*** to (** yels: ( ( eplg (* wth ths, we he: P U P (*# whee s the fst eleets s the lst eleets.

22 Now ell et. (te, epete hee fo oeee: P P U U te te susttute et. (*# to ot te P U te te te te te e. (te A so ow the oly -- les eg e te. So let s wok o te. Te : Te s: P U P (. So we ee to o two thgs:. Ot P tes of the -- uttes.. Expess ll of te tes of uets ste of flux lkges. P To eg ths tsk, ell tht, tke etes of oth ses. Note ffeettg the ght-

23 h-se, we ee to out fo the ft tht P s teepeet. Thus: Solg fo P P P, we ot: P (# But the ght-h se stll hs usg P P o. We elte ths Susttuto to e. (# yels: (. P PP Now we he expesse P tes of the -- uttes. Susttuto of e. (. to e. (. oe yels: P P o P P U te te So we he oplshe ou ojete, whh ws to ot P tes of the -- uttes. et s susttute the oe euto to e. (te P U te te te te e. (te

24 to ot PP te te te te te e. (te Now we ee to oplsh ou ojete, whh s to expess ll of te tes of uets ste of flux lkges. To o ths, let s estgte tes oe t te. et s stt wth te. Te : So te s: Ou gol s to see f we expess ths tes of uets, whh es we wll ee to use utes. et s stt y lookg t the se expesso ut wthout the etes, se we kow how to wte ths usg Pk s tsfoto -- flux lkges. Ths s: P U (e. - Now to wte e. (- tes of the / uets (ste of / flux lkges, ell fo e. (, pg., epete hee fo oeee

25 (e. - tht the eto of / flux lkges o the ght of (e. - s elte though the ute tx to the / uets. Now ell tht the / uets y e elte to the / uets usg the ese Pk Tsfoto og to: P U (e. - Susttuto of (- to (- the wht esults to (-, we he P P U U Pefog the oe tx ultplto, we ot. P P P P Now we ee to go though eh of these fou tx ultpltos. I wll hee ot the etls just ge the esults (ote lso wht follows the efto of tol oeltue fo eh of the fou sutes. But efoe og tht, let s e ouseles of wht the oe ute tes look lke. 5

26 6 (e. Y Y S S S S S S S S S s( s( s s( s( s os( os( os os( os( os s( s( os( os( os ( ] 9 os ( [ 5 os ( [ s( s( os( os( ] 9 os ( [ os ( ] os ( [ s s os os ] 5 os ( [ ] os ( [ os (e. -ex

27 7 Sutx (,: P P whee =S-S, =S+S+(/, =S+S-(/. Sutx (,: P Sutx (,: T P

28 8 Sutx (, (ote tht ths sutx s uhge fo the ogl ute tx: Y Y Usg the efe oeltue oe fo the eleets, we flly he: T Expg Y Y (.

29 9 Cope ths to e. (-ex o pge 6 ( pg. to see ey lge poeet splty. Ase: It s oeet hee to ote fo the oe tx elto tht e ge y: We wll use ths eelopg te elow. Oe e supse fo the oe s tht THE ATIX IS CONSTANT!!! As esult of ths e supse, we y ffeette oth ses to get: T ($ o, whe expe, s:

30 Y Y Susttuto of ($ fo te to e. (te, epete hee fo oeee, te te te te te PP e. (te esults te te te te te T PP e. (te5 We e lost oe! The oly eg te whh ots flux lkges s te.

31 Te : ellg te s: P P we see tht we ee to exp the pout. st, ell tht: P os os( os( s s( s( Also, ell tht ( ( t P P θ = ω(t A ote efully tht P s futo of te euse the gle s futo of t. Theefoe we ee to ffeette P. Ths s ot h esults : P P t s os s( os( Now tkg the pout, we ot: P P s( os(

32 P P s os s( os( s( os( os os( os( / / Note the oe tht ow s ll zeos euse ow P s ll zeos. O the othe h, olu s ll zeos euse the ultplto of ows P y olu of yel su of syetl tes. Ths poes tht: PP Soe oets o spee oltges -ωλ ωλ. These spee oltges togethe out fo the oltges ue the (fxe phse wgs s esult of the sptlly-og get fel fo the oto. They epeset the ft tht flux we ottg syhos wth the oto wll ete oltges the sttoy tue ols. s s( s( P

33 Spee oltges e so e to otst the fo wht y e lle tsfoe oltges, whh e ue s esult of te yg get fel. You y he u oss the oept of spee oltges Physs, whee you opute oltge ue ol of we s t oe though stt get fel, whh se, you y he use the euto Bl whee B s flux esty, l s outo legth, s the opoet of the eloty of the og outo (o og fel tht s ol wth espet to the fel flux eto (o outo. The fst spee oltge te, -ωλ, ppes the euto. The seo spee oltge te, ωλ, ppes the euto. Thus, we see tht the -xs flux uses spee oltge the -xs wg, the - xs flux uses spee oltge the -xs wg. tzgel Kgsley the ook Elet hey poe goo susso of spee oltges Chpte. Now we e posto to ot te. Usg the expessos fo ote the Ase of pge oe, we get:

34 P P whee spee Now ellg e. (te5, (& ; spee PP T te te we susttute (& to ot: te te e. (te5 spee T te te Puttg t ll togethe: te te e. (te6 te te

35 5 et s e-wte the oltge euto e. (te6 y susttutg oplete expessos fo ll etos sutes tes,,,,, s ote oe: Te Te Te Y Y Te Te Now, osee tht eh of the o-zeo eleets of te te s ultple y uet o uet ete, tht tes oth get ultple y etos of uets o uet etes, espetely. Theefoe, we

36 y fol- Te Te to the Tes y og pts of the o-zeo te eleets wth the ppopte tx eleet tes. o exple, we y fol the - te ow of te y lug ow (se we e elg wth the seo euto, olu (se we ee the te tht ultples of te. Note tht se te hs us sg out fot, we o ot lue the us sg of - whe we fol t. The le ow oe llustte ths folg- opeto. The oplete esults of ll fol- opetos e poe wht follows: 6

37 7 Y Y It s of teest to ege the oeg of the les so tht the oltge eutos fo ll -xs wgs e togethe the oltge eutos fo ll -xs wgs e togethe euse ths wll ephsze the pesee o see of the ous ouplgs tht we he. The esult of ths e-oeg of the les s s follows:

38 8 Y Y (e..9

39 Soe osetos out the tsfoe oltge eutos:. The fst tx ges. esste oltge ops. Spee oltge ops, s (tes wth. These s s Ou the - - uts, to epeset the ft tht flux we ottg syhos wth the oto wll ete oltges the sttoy tue ols o ot ou uts physlly lote o the oto, se thee s o oto etwee the ottg flux we the oto wgs. Ae use y uets the fel wgs of the othe xs: the -ut s s use y,, the -ut s s use y,,. The tes e lost ostt, exept fo the s tes the fst tx, ut ee these tes e ptlly ostt se we oly see sll hges. The osty of the tes s the otto eh the Pk s tsfoto.. The les he ee eogze so tht ll - xs uts e togethe ll -xs uts e togethe. Ths kes t esy to osee y ouplg/eouplg etwee ffeet sets of uts. 9

40 . The seo tx ges oltge ue y uet (o flux to. Note tht thee s o ouplg etwee the -xs uts (,, the -xs uts (,,. Ths s euse these two sets of uts e othogol. lly, soe oets out the Pk s tsfoto:. e uets fttous p of wgs fxe o the oto.. These uets poue the se flux s o the,, uets.. o le stey-stte opetg otos, we use = P to show tht the uets the wgs e! The plto of ths s tht: The,, uets fxe spe, yg te, poue the se syhoously ottg get fel s The, uets, yg spe, fxe te! o Kk, Vol. III:

41 s oe,, s (o uets pojete oto et xs. s oe,, s (o uets pojete oto utue xs. See g.6, p.8 of these otes fo llustto of pojeto o to et & utue xs. o ss opetg otos, The,, uets, fxe spe, yg te, poue the se syhoously ottg get fel s The, uets, yg spe, fxe te (C. Kk, lke Pk, hose / s hs oeffet fot of the Pk tx, see e. (.5, pg. of these otes. o ll opetg otos, poue the se o the espete xes s,,. o poues o gp flux. We use ths se guet the otes WgsAxes (pp. - to estlsh tht the self utul utes of otooto tes e ostt. Hee, Kk uses ths guet to poe tuto tht self utul utes of (fttous - & - wgs. Kk s hoe of oeffets hs the tge of gtuee ut the stge of ueul utul (see p. of these otes. Aothe teestg pgph fo Kk Vol. III

42

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

AN ALGEBRAIC APPROACH TO M-BAND WAVELETS CONSTRUCTION

AN ALGEBRAIC APPROACH TO M-BAND WAVELETS CONSTRUCTION AN ALGEBRAIC APPROACH TO -BAN WAELETS CONSTRUCTION Toy L Qy S Pewe Ho Ntol Lotoy o e Peeto Pe Uety Be 8 P. R. C Att T e eet le o to ott - otool welet e. A yte of ott eto ote fo - otool flte te olto e o

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

Problem Set 4 Solutions

Problem Set 4 Solutions 4 Eoom Altos of Gme Theory TA: Youg wg /08/0 - Ato se: A A { B, } S Prolem Set 4 Solutos - Tye Se: T { α }, T { β, β} Se Plyer hs o rte formto, we model ths so tht her tye tke oly oe lue Plyer kows tht

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

Moments of Generalized Order Statistics from a General Class of Distributions

Moments of Generalized Order Statistics from a General Class of Distributions ISSN 684-843 Jol of Sttt Vole 5 28. 36-43 Moet of Geelzed Ode Sttt fo Geel l of Dtto Att Mhd Fz d Hee Ath Ode ttt eod le d eel othe odel of odeed do le e ewed el e of geelzed ode ttt go K 995. I th e exlt

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

Lattice planes. Lattice planes are usually specified by giving their Miller indices in parentheses: (h,k,l)

Lattice planes. Lattice planes are usually specified by giving their Miller indices in parentheses: (h,k,l) Ltte ples Se the epol ltte of smple u ltte s g smple u ltte d the Mlle des e the oodtes of eto oml to the ples, the use s ey smple lttes wth u symmety. Ltte ples e usully spefed y gg the Mlle des petheses:

More information

X-Ray Notes, Part III

X-Ray Notes, Part III oll 6 X-y oe 3: Pe X-Ry oe, P III oe Deeo Coe oupu o x-y ye h look lke h: We efe ue of que lhly ffee efo h ue y ovk: Co: C ΔS S Sl o oe Ro: SR S Co o oe Ro: CR ΔS C SR Pevouly, we ee he SR fo ye hv pxel

More information

Some Equivalent Forms of Bernoulli s Inequality: A Survey *

Some Equivalent Forms of Bernoulli s Inequality: A Survey * Ale Mthets 3 4 7-93 htt://oog/436/34746 Pulshe Ole Jul 3 (htt://wwwsog/joul/) Soe Euvlet Fos of Beoull s Ieult: A Suve * u-chu L Cheh-Chh eh 3 Detet of Ale Mthets Ntol Chug-Hsg Uvest Tw Detet of Mthets

More information

A convex hull characterization

A convex hull characterization Pue d ppled Mthets Joul 4; (: 4-48 Pulshed ole My 4 (http://www.seepulshggoup.o//p do:.648/.p.4. ove hull htezto Fo Fesh Gov Qut Deptet DISG Uvesty of Se Itly El ddess: fesh@us.t (F. Fesh qut@us.t (G.

More information

African Journal of Science and Technology (AJST) Science and Engineering Series Vol. 4, No. 2, pp GENERALISED DELETION DESIGNS

African Journal of Science and Technology (AJST) Science and Engineering Series Vol. 4, No. 2, pp GENERALISED DELETION DESIGNS Af Joul of See Tehology (AJST) See Egeeg See Vol. 4, No.,. 7-79 GENERALISED DELETION DESIGNS Mhel Ku Gh Joh Wylff Ohbo Dee of Mhe, Uvey of Nob, P. O. Bo 3097, Nob, Key ABSTRACT:- I h e yel gle ele fol

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

The Area of a Triangle

The Area of a Triangle The e of Tingle tkhlid June 1, 015 1 Intodution In this tile we will e disussing the vious methods used fo detemining the e of tingle. Let [X] denote the e of X. Using se nd Height To stt off, the simplest

More information

ME 501A Seminar in Engineering Analysis Page 1

ME 501A Seminar in Engineering Analysis Page 1 Powe Seies Solutios Foeius Metho Septee 6, 7 Powe Seies Solutios Foeius etho L Cetto Mehil Egieeig 5AB Sei i Egieeig Alsis Otoe 6, 7 Outlie Review lst wee Powe seies solutios Geel ppoh Applitio Foeius

More information

TWO INTERFACIAL COLLINEAR GRIFFITH CRACKS IN THERMO- ELASTIC COMPOSITE MEDIA

TWO INTERFACIAL COLLINEAR GRIFFITH CRACKS IN THERMO- ELASTIC COMPOSITE MEDIA WO INERFIL OLLINER GRIFFIH RS IN HERMO- ELSI OMOSIE MEDI h m MISHR S DS * Deme o Mheml See I Ie o eholog BHU V-5 I he oee o he le o he e e o eeg o o olle Gh e he ee o he wo ohoo mel e e e emee el. he olem

More information

Chapter 2: Descriptive Statistics

Chapter 2: Descriptive Statistics Chapte : Decptve Stattc Peequte: Chapte. Revew of Uvaate Stattc The cetal teecy of a oe o le yetc tbuto of a et of teval, o hghe, cale coe, ofte uaze by the athetc ea, whch efe a We ca ue the ea to ceate

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

COMP 465: Data Mining More on PageRank

COMP 465: Data Mining More on PageRank COMP 465: Dt Mnng Moe on PgeRnk Sldes Adpted Fo: www.ds.og (Mnng Mssve Dtsets) Powe Iteton: Set = 1/ 1: = 2: = Goto 1 Exple: d 1/3 1/3 5/12 9/24 6/15 = 1/3 3/6 1/3 11/24 6/15 1/3 1/6 3/12 1/6 3/15 Iteton

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

Municipality of Central Elgin User Fee Committee Agenda

Municipality of Central Elgin User Fee Committee Agenda ult f etl Elg Use Fee ttee ge Pge 11:.. ttee R # ll t e slsue f Peu Iteest the Geel tue Theef -6 7-18 t f utes t f the utes f eetgs te etebe, 14, Ju 7, 15. suss Ites Reve f the 14 Use Fee heule e Busess

More information

The linear system. The problem: solve

The linear system. The problem: solve The ler syste The prole: solve Suppose A s vertle, the there ests uue soluto How to effetly opute the soluto uerlly??? A A A evew of dret ethods Guss elto wth pvotg Meory ost: O^ Coputtol ost: O^ C oly

More information

ELECTROPHORESIS IN STRUCTURED COLLOIDS

ELECTROPHORESIS IN STRUCTURED COLLOIDS ELKIN 4 ELECTROPHORESIS IN STRUCTURE COLLOIS José M. Médez A. Cvestv Mexo I ollboto wt O. Aló-Wess ULA d J. J. Beel-Mstett Cvestv. V µ E; µ 6πη ε ζ ; ζ 3 ε ζ ζ 4 THE GENERATION OF ONE PARTICLE EFFECTIVE

More information

CE 561 Lecture Notes. Optimal Timing of Investment. Set 3. Case A- C is const. cost in 1 st yr, benefits start at the end of 1 st yr

CE 561 Lecture Notes. Optimal Timing of Investment. Set 3. Case A- C is const. cost in 1 st yr, benefits start at the end of 1 st yr CE 56 Letue otes Set 3 Optmal Tmg of Ivestmet Case A- C s ost. ost st y, beefts stat at the ed of st y C b b b3 0 3 Case B- Cost. s postpoed by oe yea C b b3 0 3 (B-A C s saved st yea C C, b b 0 3 Savg

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

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

M5. LTI Systems Described by Linear Constant Coefficient Difference Equations

M5. LTI Systems Described by Linear Constant Coefficient Difference Equations 5. LTI Systes Descied y Lie Costt Coefficiet Diffeece Equtios Redig teil: p.34-4, 245-253 3/22/2 I. Discete-Tie Sigls d Systes Up til ow we itoduced the Fouie d -tsfos d thei popeties with oly ief peview

More information

Empirical equations for electrical parameters of asymmetrical coupled microstrip lines

Empirical equations for electrical parameters of asymmetrical coupled microstrip lines Epl equons fo elel petes of syel ouple osp lnes I.M. Bsee Eletons eseh Instute El-h steet, Dokk, o, Egypt Abstt: Epl equons e eve fo the self n utul nutne n ptne fo two syel ouple osp lnes. he obne ptne

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

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

Kummer Beta -Weibull Geometric Distribution. A New Generalization of Beta -Weibull Geometric Distribution

Kummer Beta -Weibull Geometric Distribution. A New Generalization of Beta -Weibull Geometric Distribution ttol Jol of Ss: Bs Al Rsh JSBAR SSN 37-453 Pt & Ol htt://gss.og/.h?joljolofbsaal ---------------------------------------------------------------------------------------------------------------------------

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

Illustrating the space-time coordinates of the events associated with the apparent and the actual position of a light source

Illustrating the space-time coordinates of the events associated with the apparent and the actual position of a light source Illustting the spe-time oointes of the events ssoite with the ppent n the tul position of light soue Benh Rothenstein ), Stefn Popesu ) n Geoge J. Spi 3) ) Politehni Univesity of Timiso, Physis Deptment,

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

Exercise # 2.1 3, 7, , 3, , -9, 1, Solution: natural numbers are 3, , -9, 1, 2.5, 3, , , -9, 1, 2 2.5, 3, , -9, 1, , -9, 1, 2.

Exercise # 2.1 3, 7, , 3, , -9, 1, Solution: natural numbers are 3, , -9, 1, 2.5, 3, , , -9, 1, 2 2.5, 3, , -9, 1, , -9, 1, 2. Chter Chter Syste of Rel uers Tertg Del frto: The del frto whh Gve fte uers of dgts ts del rt s lled tertg del frto. Reurrg ( o-tertg )Del frto: The del frto (No tertg) whh soe dgts re reeted g d g the

More information

Theory of angle-resolved photoemission experiments on a two-band model

Theory of angle-resolved photoemission experiments on a two-band model Theoy o gle-esolved photoesso expeets o two-bd odel T De Co * Deptet o Physs, jg Uvesty o Ioto See & Tehology, jg 0044, Ch Abstt Cosdeg the eleto sttes sde d outsde the sold, we deve oul o photoesso testy.

More information

Chapter 1 Vector Spaces

Chapter 1 Vector Spaces Chpter Vetor pes - Vetor pes Ler Comtos Vetor spe V V s set over fel F f V F! + V. Eg. R s vetor spe. For R we hek -4=-4-4R -7=-7-7R et. Eg. how tht the set of ll polomls PF wth oeffets from F s vetor

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

FRACTIONAL MELLIN INTEGRAL TRANSFORM IN (0, 1/a)

FRACTIONAL MELLIN INTEGRAL TRANSFORM IN (0, 1/a) Ieol Jol o Se Reeh Pblo Volme Ie 5 y ISSN 5-5 FRACTIONAL ELLIN INTEGRAL TRANSFOR IN / S.. Kh R..Pe* J.N.Slke** Deme o hem hh Aemy o Egeeg Al-45 Pe I oble No.: 98576F No.: -785759 Eml-mkh@gml.om Deme o

More information

«A first lesson on Mathematical Induction»

«A first lesson on Mathematical Induction» Bcgou ifotio: «A fist lesso o Mtheticl Iuctio» Mtheticl iuctio is topic i H level Mthetics It is useful i Mtheticl copetitios t ll levels It hs bee coo sight tht stuets c out the poof b theticl iuctio,

More information

Chapter #2 EEE State Space Analysis and Controller Design

Chapter #2 EEE State Space Analysis and Controller Design Chpte EEE8- Chpte # EEE8- Stte Spce Al d Cotolle Deg Itodcto to tte pce Obevblt/Cotollblt Modle ede: D D Go - d.go@cl.c.k /4 Chpte EEE8-. Itodcto Ae tht we hve th ode te: f, ', '',.... Ve dffclt to td

More information

Module B3 3.1 Sinusoidal steady-state analysis (single-phase), a review 3.2 Three-phase analysis. Kirtley

Module B3 3.1 Sinusoidal steady-state analysis (single-phase), a review 3.2 Three-phase analysis. Kirtley Module B.1 Siusoidl stedy-stte lysis (sigle-phse), review.2 Three-phse lysis Kirtley Chpter 2: AC Voltge, Curret d Power 2.1 Soures d Power 2.2 Resistors, Idutors, d Cpitors Chpter 4: Polyphse systems

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

Equations from the Millennium Theory of Inertia and Gravity. Copyright 2004 Joseph A. Rybczyk

Equations from the Millennium Theory of Inertia and Gravity. Copyright 2004 Joseph A. Rybczyk Equtions fo the illenniu heoy of Ineti nd vity Copyight 004 Joseph A. Rybzyk ollowing is oplete list of ll of the equtions used o deived in the illenniu heoy of Ineti nd vity. o ese of efeene the equtions

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

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

Fuel- or Time-Optimal Transfers Between Coplanar, Coaxial Ellipses. Using Lambert s Theorem. Chang-Hee Won

Fuel- or Time-Optimal Transfers Between Coplanar, Coaxial Ellipses. Using Lambert s Theorem. Chang-Hee Won Fuel- o Te-Optl Tsfes Betwee Copl, Col Ellpses Usg Lbet s Theoe Chg-Hee Wo Electocs Telecouctos Resech Isttute, Tejo 05-600, Republc of Koe Abstct Uoubtely, u-fuel -te obt tsfe e the two jo gols of the

More information

Bethe-Salpeter Equation

Bethe-Salpeter Equation Behe-Slpee Equo No-elvs Fomlsm Behe-Slpee Equo: ouo o he op. Dgesso Seo Quzo. Dgesso: fs quzo s movo fo seo quzo. Quum Fel Theoel Hmlo Seo Quzo. Shöge Equo. Equo of Moo. Shöge Fomulo. Behe-Slpee Equo fo

More information

The Z-Transform in DSP Lecture Andreas Spanias

The Z-Transform in DSP Lecture Andreas Spanias The Z-Trsform DSP eture - Adres Ss ss@su.edu 6 Coyrght 6 Adres Ss -- Poles d Zeros of I geerl the trsfer futo s rtol; t hs umertor d deomtor olyoml. The roots of the umertor d deomtor olyomls re lled the

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

8. Two Ion Interactions

8. Two Ion Interactions 8. Two on ntetons The moels of mgnet oe hve een se on mltonns of the fom on J J zw. Wht s the physl ogn of ths two on ntetons 8. Dpol nteton The ogn of lge moleul fels nnot e the wek mgnet pol nteton CD

More information

Physics 232 Exam II Mar. 28, 2005

Physics 232 Exam II Mar. 28, 2005 Phi 3 M. 8, 5 So. Se # Ne. A piee o gl, ide o eio.5, h hi oig o oil o i. The oil h ide o eio.4.d hike o. Fo wh welegh, i he iile egio, do ou ge o eleio? The ol phe dieee i gie δ Tol δ PhDieee δ i,il δ

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

Analele Universităţii din Oradea, Fascicula: Protecţia Mediului, Vol. XIII, 2008

Analele Universităţii din Oradea, Fascicula: Protecţia Mediului, Vol. XIII, 2008 Alele Uverstăţ d Orde Fsul: Proteţ Medulu Vol. XIII 00 THEORETICAL AND COMPARATIVE STUDY REGARDING THE MECHANICS DISPLASCEMENTS UNDER THE STATIC LOADINGS FOR THE SQUARE PLATE MADE BY WOOD REFUSE AND MASSIF

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

Control of industrial robots. Robot dynamics

Control of industrial robots. Robot dynamics Coto of dut oot Root dy of. oo Roo (oo.oo@o.t) oteo d Mo Dteto d Eetto, Ifozoe e Bogege Itoduto Wth thee de we w deve the dy ode of the uto he dy ode out fo the eto etwee the oue of oto (foe d oet) d the

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

ON THE EXTENSION OF WEAK ARMENDARIZ RINGS RELATIVE TO A MONOID

ON THE EXTENSION OF WEAK ARMENDARIZ RINGS RELATIVE TO A MONOID wwweo/voue/vo9iue/ijas_9 9f ON THE EXTENSION OF WEAK AENDAIZ INGS ELATIVE TO A ONOID Eye A & Ayou Eoy Dee of e Nowe No Uvey Lzou 77 C Dee of e Uvey of Kou Ou Su E-: eye76@o; you975@yooo ABSTACT Fo oo we

More information

SPH3UW Unit 7.5 Snell s Law Page 1 of Total Internal Reflection occurs when the incoming refraction angle is

SPH3UW Unit 7.5 Snell s Law Page 1 of Total Internal Reflection occurs when the incoming refraction angle is SPH3UW Uit 7.5 Sell s Lw Pge 1 of 7 Notes Physis Tool ox Refrtio is the hge i diretio of wve due to hge i its speed. This is most ommoly see whe wve psses from oe medium to other. Idex of refrtio lso lled

More information

Face Detection and Recognition. Linear Algebra and Face Recognition. Face Recognition. Face Recognition. Dimension reduction

Face Detection and Recognition. Linear Algebra and Face Recognition. Face Recognition. Face Recognition. Dimension reduction F Dtto Roto Lr Alr F Roto C Y I Ursty O solto: tto o l trs s s ys os ot. Dlt to t to ltpl ws. F Roto Aotr ppro: ort y rry s tor o so E.. 56 56 > pot 6556- stol sp A st o s t ps to ollto o pots ts sp. F

More information

GEOMETRY. Rectangle Circle Triangle Parallelogram Trapezoid. 1 A = lh A= h b+ Rectangular Prism Sphere Rectangular Pyramid.

GEOMETRY. Rectangle Circle Triangle Parallelogram Trapezoid. 1 A = lh A= h b+ Rectangular Prism Sphere Rectangular Pyramid. ALGEBA Popeties of Asote Ve Fo e mes :, + + Tige Ieqit Popeties of Itege Epoets is Assme tt m e positive iteges, tt e oegtive, tt eomitos e ozeo. See Appeies B D fo gps fte isssio. + ( ) m m m m m m m

More information

12781 Velp Avenue. West County B Rural Residential Development

12781 Velp Avenue. West County B Rural Residential Development U PL & EET E 28 Vel ee eded 2 P.. ) LL EET T E 2) PPVE E ) ET E ) e e e e eded eebe 2 Plg & g eeg b) Bldg Pe e: eebe ) PUBL FU ( -E TE): g be bg bee e Plg & g eel ll be de ll be e. 5) UEETFEEBK: ) be ll

More information

4.1 Schrödinger Equation in Spherical Coordinates

4.1 Schrödinger Equation in Spherical Coordinates Phs 34 Quu Mehs D 9 9 Mo./ Wed./ Thus /3 F./4 Mo., /7 Tues. / Wed., /9 F., /3 4.. -. Shodge Sphe: Sepo & gu (Q9.) 4..-.3 Shodge Sphe: gu & d(q9.) Copuo: Sphe Shodge s 4. Hdoge o (Q9.) 4.3 gu Moeu 4.4.-.

More information

Data Compression Techniques (Spring 2012) Model Solutions for Exercise 4

Data Compression Techniques (Spring 2012) Model Solutions for Exercise 4 58487 Dt Compressio Tehiques (Sprig 0) Moel Solutios for Exerise 4 If you hve y fee or orretios, plese ott jro.lo t s.helsii.fi.. Prolem: Let T = Σ = {,,, }. Eoe T usig ptive Huffm oig. Solutio: R 4 U

More information

ME 501A Seminar in Engineering Analysis Page 1

ME 501A Seminar in Engineering Analysis Page 1 Fobeius ethod pplied to Bessel s Equtio Octobe, 7 Fobeius ethod pplied to Bessel s Equtio L Cetto Mechicl Egieeig 5B Sei i Egieeig lsis Octobe, 7 Outlie Review idte Review lst lectue Powe seies solutios/fobeius

More information

Minimum Hyper-Wiener Index of Molecular Graph and Some Results on Szeged Related Index

Minimum Hyper-Wiener Index of Molecular Graph and Some Results on Szeged Related Index Joual of Multdscplay Egeeg Scece ad Techology (JMEST) ISSN: 359-0040 Vol Issue, Febuay - 05 Mmum Hype-Wee Idex of Molecula Gaph ad Some Results o eged Related Idex We Gao School of Ifomato Scece ad Techology,

More information

Section 35 SHM and Circular Motion

Section 35 SHM and Circular Motion Section 35 SHM nd Cicul Motion Phsics 204A Clss Notes Wht do objects do? nd Wh do the do it? Objects sometimes oscillte in simple hmonic motion. In the lst section we looed t mss ibting t the end of sping.

More information

Week 10: DTMC Applications Ranking Web Pages & Slotted ALOHA. Network Performance 10-1

Week 10: DTMC Applications Ranking Web Pages & Slotted ALOHA. Network Performance 10-1 Week : DTMC Alictions Rnking Web ges & Slotted ALOHA etwok efonce - Outline Aly the theoy of discete tie Mkov chins: Google s nking of web-ges Wht ge is the use ost likely seching fo? Foulte web-gh s Mkov

More information

are positive, and the pair A, B is controllable. The uncertainty in is introduced to model control failures.

are positive, and the pair A, B is controllable. The uncertainty in is introduced to model control failures. Lectue 4 8. MRAC Desg fo Affe--Cotol MIMO Systes I ths secto, we cosde MRAC desg fo a class of ult-ut-ult-outut (MIMO) olea systes, whose lat dyacs ae lealy aaetezed, the ucetates satsfy the so-called

More information

~ * AC. ( E 1 vector), where 0 AC is a matrix of zeros of

~ * AC. ( E 1 vector), where 0 AC is a matrix of zeros of Ole spleety ote to e ppe ettled A opehesve Dwell Ut hoe Model Aoodt Psyholol ostuts w Seh Sttey fo osdeto Set Foto Model Syste Estto et E y y y E γ γ 0 A [ E A tx] d ε ε ε E veto whee 0 A s tx of zeos

More information

Hyperbolic Heat Equation as Mathematical Model for Steel Quenching of L-shape and T-shape Samples, Direct and Inverse Problems

Hyperbolic Heat Equation as Mathematical Model for Steel Quenching of L-shape and T-shape Samples, Direct and Inverse Problems SEAS RANSACIONS o HEA MASS RANSER Bos M Be As Bs Hpeo He Eo s Me Moe o See Qe o L-spe -spe Spes De Iese Poes ABIA BOBINSKA o Pss Mes es o L Ze See 8 L R LAIA e@o MARARIA BIKE ANDRIS BIKIS Ise o Mes Cope

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

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

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

CHAPTER 29 ELECTRIC FIELD AND POTENTIAL EXERCISES

CHAPTER 29 ELECTRIC FIELD AND POTENTIAL EXERCISES HPTER ELETRI FIELD ND POTENTIL EXERISES. oulob Newton l M L T 4 k F.. istnce between k so, foce k ( F ( The weight of boy 4 N 4 N wt of boy So,. foce between chges 4 So, foce between chges.6 weight of

More information

CHAPTER 7 SOLVING FUZZY LINEAR FRACTIONAL PROGRAMMING PROBLEM BY USING TAYLOR'S SERIES METHOD

CHAPTER 7 SOLVING FUZZY LINEAR FRACTIONAL PROGRAMMING PROBLEM BY USING TAYLOR'S SERIES METHOD 67 CHAPTER 7 SOLVING FUZZY LINEAR FRACTIONAL PROGRAMMING PROBLEM BY USING TAYLOR'S SERIES METHOD 7. INTRODUCTION The eso mers the setors le fl ororte lg routo lg mretg me seleto uversty lg stuet mssos

More information

--- Deceased Information. A1ry't (Ay't olll n5. F\ease turn page ) lslamic Community Center of Tempe. Please print all information clearly.

--- Deceased Information. A1ry't (Ay't olll n5. F\ease turn page ) lslamic Community Center of Tempe. Please print all information clearly. A1y't (Ay't lll l uty ete ee lese t ll t lely. Deese t st e Mle e s t\e Lee De Bth Age Dte Seultv t\ube h :;;"' :;...".::.."'t ' ' ue uetttte ube use Deth Heste Als ( y); he t vle hve lll be use t etg

More information

2.Decision Theory of Dependence

2.Decision Theory of Dependence .Deciio Theoy of Depedece Theoy :I et of vecto if thee i uet which i liely depedet the whole et i liely depedet too. Coolly :If the et i liely idepedet y oepty uet of it i liely idepedet. Theoy : Give

More information

G8-11 Congruence Rules

G8-11 Congruence Rules G8-11 ogruee Rules If two polgos re ogruet, ou ple the oe o top of the other so tht the th etl. The verties tht th re lled orrespodig verties. The gles tht th re lled orrespodig gles. The sides tht th

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

FIBONACCI-LIKE SEQUENCE ASSOCIATED WITH K-PELL, K-PELL-LUCAS AND MODIFIED K-PELL SEQUENCES

FIBONACCI-LIKE SEQUENCE ASSOCIATED WITH K-PELL, K-PELL-LUCAS AND MODIFIED K-PELL SEQUENCES Joual of Appled Matheatcs ad Coputatoal Mechacs 7, 6(), 59-7 www.ac.pcz.pl p-issn 99-9965 DOI:.75/jac.7..3 e-issn 353-588 FIBONACCI-LIKE SEQUENCE ASSOCIATED WITH K-PELL, K-PELL-LUCAS AND MODIFIED K-PELL

More information

Review of Linear Algebra

Review of Linear Algebra PGE 30: Forulto d Soluto Geosstes Egeerg Dr. Blhoff Sprg 0 Revew of Ler Alger Chpter 7 of Nuercl Methods wth MATLAB, Gerld Recktewld Vector s ordered set of rel (or cople) uers rrged s row or colu sclr

More information

IO Gender and natural history

IO Gender and natural history LNA HEBNGER Gede d tul hty The tylu f the fele [plt] the v hle the vulv d the Veu epd t the t Thu the uteu v d vulv ke up the ptl the e tht de btt ve t ll the fele pt f plt A f e e e eed quk lk euh f Ppu

More information

Parametric Methods. Autoregressive (AR) Moving Average (MA) Autoregressive - Moving Average (ARMA) LO-2.5, P-13.3 to 13.4 (skip

Parametric Methods. Autoregressive (AR) Moving Average (MA) Autoregressive - Moving Average (ARMA) LO-2.5, P-13.3 to 13.4 (skip Pmeti Methods Autoegessive AR) Movig Avege MA) Autoegessive - Movig Avege ARMA) LO-.5, P-3.3 to 3.4 si 3.4.3 3.4.5) / Time Seies Modes Time Seies DT Rdom Sig / Motivtio fo Time Seies Modes Re the esut

More information

A CLASS OF SINGULAR PERTURBATED BILOCAL LINEAR PROBLEMS

A CLASS OF SINGULAR PERTURBATED BILOCAL LINEAR PROBLEMS Proeegs of the Iteratoal Coferee o Theor a Applatos of Matheats a Iforats ICTAMI 3 Alba Iula A CLASS OF SINGULAR PERTURBATED BILOCAL LINEAR PROBLEMS b Mhaela Jaraat a Teoor Groşa Abstrat. Ths paper presets

More information

xl yl m n m n r m r m r r! The inner sum in the last term simplifies because it is a binomial expansion of ( x + y) r : e +.

xl yl m n m n r m r m r r! The inner sum in the last term simplifies because it is a binomial expansion of ( x + y) r : e +. Ler Trsfortos d Group Represettos Hoework #3 (06-07, Aswers Q-Q re further exerses oer dots, self-dot trsfortos, d utry trsfortos Q3-6 volve roup represettos Of these, Q3 d Q4 should e quk Q5 s espelly

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

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

On EPr Bimatrices II. ON EP BIMATRICES A1 A Hence x. is said to be EP if it satisfies the condition ABx

On EPr Bimatrices II. ON EP BIMATRICES A1 A Hence x. is said to be EP if it satisfies the condition ABx Iteatoal Joual of Mathematcs ad Statstcs Iveto (IJMSI) E-ISSN: 3 4767 P-ISSN: 3-4759 www.jms.og Volume Issue 5 May. 4 PP-44-5 O EP matces.ramesh, N.baas ssocate Pofesso of Mathematcs, ovt. ts College(utoomous),Kumbakoam.

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

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

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

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

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

CHAPTER? 29 ELECTRIC FIELD AND POTENTIAL EXERCISES = 2, N = (5.6) 1 = = = = = Newton

CHAPTER? 29 ELECTRIC FIELD AND POTENTIAL EXERCISES = 2, N = (5.6) 1 = = = = = Newton Downloe fo HPTER? ELETRI FIELD ND POTENTIL EXERISES. oulob Newton l M L T 4 k F.. istnce between k so, foce k ( F ( The weight of boy 4 N 4 N wt of boy.5 So, foce between chges 4 So, foce between chges

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

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

Useful R-norm Information Measure and its Properties

Useful R-norm Information Measure and its Properties IOS Jorl of Eletros Coto Eeer (IOS-JECE) e-issn: 7-34- ISSN: 7-735Vole Isse (No - De 03) PP 5-57 DS oo Keert Uyy DKSr 3 Jyee Uersty of Eeer Teoloy AB o or 4736 Dstt G MP (I) Astrt : I te reset oto ew sefl

More information

2/20/2013. Topics. Power Flow Part 1 Text: Power Transmission. Power Transmission. Power Transmission. Power Transmission

2/20/2013. Topics. Power Flow Part 1 Text: Power Transmission. Power Transmission. Power Transmission. Power Transmission /0/0 Topcs Power Flow Part Text: 0-0. Power Trassso Revsted Power Flow Equatos Power Flow Proble Stateet ECEGR 45 Power Systes Power Trassso Power Trassso Recall that for a short trassso le, the power

More information

{nuy,l^, W%- TEXAS DEPARTMENT OT STATE HEALTH SERVICES

{nuy,l^, W%- TEXAS DEPARTMENT OT STATE HEALTH SERVICES TXAS DARTMT T STAT AT SRVS J RSTDT, M.D. MMSSR.. Bx 149347 Astn, T exs 7 87 4 93 47 18889371 1 TTY: l800732989 www.shs.stte.tx.s R: l nmtn n mps Webstes De Spentenent n Shl Amnsttn, eby 8,201 k 2007, the

More information