The Asset Pricing When the Interest Rates Are Differentiable Stochastic Processes

Size: px
Start display at page:

Download "The Asset Pricing When the Interest Rates Are Differentiable Stochastic Processes"

Transcription

1 T A Picin Wn In A Diffnibl Socic Poc Gnndy dd Bluin S Uniiy 4 F. Soin., in, 5, Blu Tl , Fx E-mil: mdd@fpm.bu.unibl.by Abc Ti pp conid poblm of picin fo c wn o-m in poc do no moin popy. In i c pic cn b dmind lo by ibl om of no obbl. In m im fom pcicl poin of iw, mmicl xpion fo pic i ccpbl fo picipn of m if i includ only obbl ibl. Tfo pocdu of liminion fom i mmicl xpion of ll no obbl componn of co of ibl ould b dlopd. In ocic poblm i i umd o limin no obbl indx by in condiionl xpcion. Suc ppoc i ud in i pp. I i uppod in poc i diffnibl bu i mmicl dii of om od i diffuion poc. In i c lu of i poc fuu im dpnd on lu of poc nd i dii pn im. I mn i dpndnc on poc p. I i did xpion fo dminion pic und condiion. In i lion o uul fomul fo pic om mulipli i ddd dpnd on ocic popi of mmicl dii of in poc. Exnion of Vic modl on diffnibl poc i inoducd. T compion bond pic fo i xnion wi bond pic of ndd Vic modl i md. T pln of pp i follow. In Inoducion poblm ubiuion i md nd ibl dmind. In Scion no bi condiion fo muli-fco modl of m ucu i in. T quion fo pic nl muli-fco modl i did in Scion 3. In nx cion i i own o limin no obbl componn of ibl. Scion 5 conin nlyi of diffnibl o-m in poc. Spcil c of in poc wi on dii i in in dil in Scion 6. Equion fo pic wn o-m in poc i diffnibl i did in Scion 7. In Scion 8 xnion of Vic modl i conidd.

2 . Inoducion In muli-fco modl i i uppod wold, on wic pic Р dpnd, i dmind by l qunii, wic cn b iou quod m indx, nd lo conncd wi m no obbl ibl. L' din co compod of qunii, ou, w m М, nd М i compl numb of m ibl, on wic pic dpnd, bu m numb fom ibl, wic quod obd in m. In on-fco modl of m ucu of in М m, i.. co i nfomd in inl ibl nd i inl ibl of i o-m inn in. Fom pcicl poin of iw mmicl xpion fo pic i ccpbl fo picipn of m, if i includ only obbl ibl. Tfo pocdu of xcpion fom i mmicl xpion of ll no obbl componn of co of ibl ould b dlopd. Somin imil plc nd in on-fco modl of m ucu of in. T pic of dicoun bond wi d of muiy Т momn of im i dmind i nominl lu, dicound in nionmn djud o i o momn, i.. on n inl of im [, Т]. How lu of o-m in i nown only momn, nd i lu fuu momn of im up o momn Т unnown. T fomul obind in condiion fo pic of bond nd ccpbl fo picipn of m i imply condiionl mmicl xpcion on pobbiliy mu djud by i of dicound nominl lu on no obbl fuu lu of o-m in {, < T} und condiion. A u of objci pobbiliy mu, nlly pin, m occu only nominl lu i wid in im by fco, i dpndn fom m pic of i Vic, 977. Tu in i c cully xcpion of lu no obbl ibl fom mmicl xpion mn by xpcion of dicound nominl lu of bond on no obbl ibl. Ti pocdu cn b ccpd lo in muli-fco modl und dminion of pic of finncil. Only in i c no obbl ibl will b no only fuu lu of ll of ibl, bu lo pn lu o m ibl, wic no obd momn of im. Suc pocdu cully i pojcion of funcion of pic in in compl pc of ibl on ubpc of obbl ibl. T opo of uc pojcin in c of onfco modl i clculion of condiionl mmicl xpcion. In i n fu w ll nm compl pic mmicl xpion fo pic in in compl pc of ibl, nd n pic i pojcion on ubpc of obbl ibl. L' um, co cn o im ifi o followin ocic diffnil quion d µ, d, dw, w µ, i М-co of dif of ibl,, i М q-mix m olilii, nd dw co of incmn of q-dimnionl ndd Win poc wi muully indpndn componn. L' um fu, compl pic cn b pnd dminiic funcion fom, nd Т, nd i funcion i diffnibl in pc o ll ibl ncy numb of im. W inf um, n do no py ny inmdi

3 pymn, nd ll pymn md in muiy d Т. Tn funcion of compl pic Р,, Т Р Т will b by fomul Io o cn duin im ccodin o ocic diffnil quion dр Т Р Т µ Т d Р Т Т dw, in wic cl fco of dif µ Т nd q-co-ow olilii Т bif dinion of followin xpion upcip in bc mn µ Т nd Т cciz n wi muiy d Т, upcip Т wiou bc will mn npoiion: T T T T P P P T µ µ,,,, T P 3 T T P,. T P Fo dfinin w ll noic P T i М-co-ow nd P T i М М-mix; A c of mix А.. T o Abi Condiion fo uli-fco odl of Tm Sucu In bi oy of picin uul wy of diin of quion fo dminion of pic i quimn of bnc of bi oppounii in m, w n dd diffin only by muiy d Т j, j n. Acully no bi condiion i lo pil diffnil quion fo n compl T pic. Fu fo biy ind of P j T, µ j T j, w ll wi ccodinly Р j, j j µ,, j n.. To obin no bi condiion in i m fi on compo if pofolio of nd n qui yild of uc pofolio in ccucy mu b qul o if in. L' um om ino compod pofolio of, inin momn of im in n wi muiy d Т j lu of iz V j uppo V j >, if ino puc, on wic in d Т j will ci ppopi pymn, nd V j <, if ino iu obliion, i.. in d Т j will b oblid o py ncy co. Tn compl lu of i pofolio momn of im will b qul V j j P,, T j j j j j j P, w j din numb of wi muiy d Т j conind in pofolio momn of im. T incmn of lu of uc pofolio fo im inl, d will b qul

4 d j j dp j j V j dp P j j. Uin quion dmin incmn of pic wi muiy d Т j w ci ocic diffnil quion fo lu of pofolio d j V j dp j j j j V j j P j j µ d V dw. 4 Suc pofolio will b if, if ocic componn of i quion will b qul o j zo, i.. V. Fo fu onin i i connin o inoduc n- j j co-ow V V, V,, V, М-mix P/ wi lmn P/ j lnp j /, j,, nd q-mix P/, wi ow j, j, dmind by lion 3. Tn condiion pofolio will b if i quliy V. I cn b conidd quion fo dminion of co V of inmn in if pofolio. Fom i i iibl, ncy condiion of xinc of if pofolio i inquliy: n min{n P, n, } ρ <. W do no conid of cou uninin ion wn co of inmn i zo. So l ncy condiion of xinc of if pofolio ρ < plc. L' pn mix in bloc fom in c, wn ρ < q, 5 w pn nondnd bloc of iz ρ ρ. I in ou condiion lwy cn b cd by numin of. O bloc dmind in ppopi wy. Accodin o i pnion w ll wi down in bloc fom co of inmn in pofolio V V V. Tn condiion of xinc of if pofolio V fom V V, V V. 6 Fom i follow bwn V nd V ould b followin lin dpndnc V V, 7 nd co V ifi quion V, 8 wic fmily of no zo dciion mix i dnd. Tu iy of if pofolio i dmind by iy of dciion V of

5 quion 8, c of wic uniquly dmin ppopi V by fomul 7, nd lo wol co V. In c, wn ρ q, in mix 5 bloc nd bn, cond quion in 6 nd quion 8 lo bn, nd V cn b con ny no zo ρ-co. T no bi condiion qui, yild of ny if pofolio in ccucy ould b qul o if in, wic lu momn of im w ll din by ymbol. A ul, if in i on of componn of co of ibl. Fom lion 4 nd 6 follow, quion of dynmic of lu of if pofolio loo li d V j j j µ d V µ V µ d V µ µ d. 9 H w in fo biy of cod ud bloc ucu of co µ Т µ µ µ T Т µ µ Т. In od o w no bi ould b ifid condiion j d V j µ d d V j d. j If o n co-column nd wi idnicl componn in c of m wi dimnion ccodinly ρ nd ρ n l xpion in cn b win down j V j Tn fom 9 nd quliy will follow j d V V d V d. V [µ µ ], wic ould b cid ou fo ny if pofolio, i.. fo ny no zo co V fom iy bn dmind by quion 8. Ti impli y componn of co µ µ ould b qul o zo. Ti quimn i quiln o fc fo ny j, ppopi componn V j of co V, quliy plc j µ d µ j µ j µ j d, w j din ow of mix wi numb j. Fom follow, no bi condiion i cid ou, if mix

6 µ ρ µ ρ µ ρ µ ρ n ρ. In un, i i quiln o fi lin of mix i lin combinion o ρ of lin. T lmn of mix dmind by quliy 3, nd j i - componn of ow j. Fom w obin no bi condiion in finl fom ρ µ j j λ,, j. 3 H λ,, nlly pin, cn b ny funcion no dpndn fom j. I i ncy o noic, numb of ummnd in i p 3 i qul ρ q, i.. no ncily coincid wi numb q n indpndn ocic componn of quion, ρ i n of mix 5, compod fom ow j, dmind by quliy 3. Fom bo nlyi i do no follow of ny commndion concnin fom of funcion λ,, fo i i conidd, y ould b in fom ny o on nd m xnl fco, funcion of dif nd oliliy in quion. I i ccpd o nm funcion λ, m pic of i conncd wi influnc of unciny, poducd ocic componn wi numb. 3. Equion fo A Pic Gnl uli-fco odl T quliy 3 cn b conidd pil diffnil quion fo pic wi muiy d Т j if xplici fom funcion µ Т nd Т fom quliy 3 will b ubiud in i. L' n fo compcn of cod ρ-co-column λ, λ, λ, λ ρ, Т. Tn quliy 3 cn b win down fo ρ q T P P T T P, λ,. T P T µ,,, Р 4 T quion 4 i quion fo dfiniion of pic wi muiy d Т in nl mn fo muli-fco modl. To quion 4 i i ncy o dd boundy condiion Р, Т, Т ΨТ, wic dmin pymn in muiy d xcuion of conc nd flc ipuld bfo condiion of conc. Unfounly, oluion of quion 4 in xplici fom fo nl c cn no b win down. I i poibl o p only bou oluion in n nlyicl fom fo om pcil c. L' conid wo of m. T oliliy mix, do no dpnd on, co funcion µ, nd, λ, lin in pc o. In i c funcion by lion

7 , Т, δ, µ, β α,, λ, η ξ, 5 w α, β, δ, η, ξ co nd mix of ppopi iz, wic in nl c cn dpnd on im. W bli, if in i dmind by om combinion of componn of co o i on of componn. Tfo w ll n lo -co-ow uc а. If i on of componn of co n componn zo wi on xcpion: componn wi numb, wic if in in co, i qul o uni. Tn dciion of quion 4 i funcion Р,, Т ΨТ ехр{а, Т В, Т}, 6 w cl funcion A, Т nd -co-ow B, Т found fom followin diffnil quion o din dii on im А В η β ½ В δ В Т, 7 В а В ξ α, 8 wi boundy condiion AТ, Т nd BТ, Т. ix funcion, Т, nd co funcion µ, nd, λ, lin funcion in pc o, i.., Т, δ D γ D, µ, β α,, λ, η ξ, 9 w α, β, δ, γ, η, ξ co nd mix of ppopi iz, wic nlly cn dpnd on im. T ymbol D din nfomion of co in dionl mix, fo xmpl γ γ γ γ γ, γ D γ γ. In conidd c funcion 6 lo i dciion of quion 4, ow in i c cl funcion A, Т nd М-co B, Т found fom followin diffnil quion А Вη β ½ Вδ В Т, В а Вξ α ½ Bγ D В D, wi fom boundy condiion AТ, Т nd BТ, Т. T c widly nown fo dicoun bond pyin uni in d of muiy Ψ Т fom pp, w dod m ucu fo on-fco modl wi conn fco, wn М q,, funcion A nd B in cl, nd pm α, β, δ, γ, η, ξ nfom o conn. T xplici fom of funcion A, Т nd B, Т, wn γ и ξ, w obind in fmou pp Vic 977; in un,

8 oluion fo c δ и η i found in widly nown pp Cox, Inol nd o 985; wn ll ix pm non zo dciion i bou in dd nd Cox 996. T dild compi nlyi of funcion A, Т nd B, Т, nd lo pobbiliy popi of poc of o-m in dmind by modl, conin in Ili. T pocdu of cpion of oluion of quion 4 in conidd c i ducd quion icci fo co B in c fi ould b old. Unfounly, in n nlyicl fom i cn b old only in cl c fo conn pm. Fo mo complx iuion i i ncy o find oluion of icci quion by numicl mod. T funcion A, if B i nown, i dmind by impl inion, ow cn ul in inl wic no clculd xplicily. Blow w ll conid on mo c, wn dciion of quion 4 cn b found in clod fom fo pciclly impon c. 4. Eliminion of no Obbl Componn of S Vibl T oluion 6, i found by dcibd wy, dmin compl pic. I would b ccpbl fo picipn of m, if ll componn of co obbl. If om componn of i co no obd in m li w dmind m numb М m l componn of co, i i ncy o limin m fom oluion. Fo i w mu ill o find diibuion of pobbilii of componn nd o clcul condiionl mmicl xpcion of oluion 6 on componn fixd obbl ibl condiion. Ti will i fomul fo pic ccpbl fo picipn of m. L' conid i pocdu fo on impon c of noml diibuion of co of ibl. I mn, dniy of pobbilii of co fom f, d Σ / π ехр{ ½ Е Т Σ Е}, 3 w Е E i co of xpcion of ibl, nd Σ Σ mix of i coinc. Fo conninc of ubqun diin w ll pli co on wo p: obbl G т Т nd no obbl Н т т М Т. Accodin o i w ll pn in bloc fom co Е nd mix Σ: Е E E, Σ Σ Σ Σ Σ, 4 w Е nd Е mmicl xpcion obbl nd no obbl componn pcily, Σ nd Σ ccodin o i mix of coinc pcily, nd Σ nd Σ mix muul coinc of co obbl nd no obbl componn. Tn dniy of pobbilii of ibl cn b win down in fom fg, H, xp G E H E π T Σ Σ Σ d Σ Σ Σ Σ Σ G E H E. 5

9 Ti dniy of pobbilii fo ou pupo i connin o pn in fom of poduc uncondiionl fo G nd condiionl fo H fixd G dnii fg fh G xp xp T G E Σ G E π m d Σ T H E Σ Σ Σ Σ H E π d Σ Σ Σ Σ, 6 w fo biy dinion i ud E E Σ Σ G E. 7 In conidd c i i poibl o wi down compl pic 6 G РG, Н,, Т ΨТ ехр A, T B B, 8 H w co B i pnd in bloc fom ccodin o pliin of co of ibl ino wo p G nd H. ow fo diin of fomul fo pic, wic could b ud in m, i i ncy o clcul condiionl xpcion of funcion РG, Н,, Т on diibuion of co H fixd co G. Tn w ll РG,, Т ΨТ ехр{а, Т В G} Е G, {ехрв H} ΨТ ехр{а,т В E Σ Σ E ½ В Σ Σ Σ Σ В Т } ехр{в B Σ Σ G }. 9 A l, if obbl nd no obbl m indx iiclly indpndn mon ml in ou c i mn, Σ nd Σ, n w ll obin РG,, Т ΨТ ехр{а, Т В G} ехр{в E ½ В Σ В Т }. 3 T no obbl pm in i fomul dmin l mulipli. By i mulipli obind fomul diff fom fomul of m pic nown fom liu,. L' mind, co G i compod by obbl m pm, i.. G m T. Tu in i fomul fo pic ud i funcion dmind by ccpd modl wn i uppod wi noml diibuion of ibl, o ob-

10 bl m pm,, m. So in modl of oluion of m indx i cn b ud in l condiion. 5. Diffnibl Poc of So-Tm In In owlmin numb of c ocic modl of dynmic of o-m in bd on poc wi indpndn incmn diffuion poc, wic coninuou non diffnibl o poc nd dcibd by quion of fom, wn co of ibl condiion dn in inl ibl. A m im, mpiicl idnc p, l poc of in no lwy o popi. Ti poblm w dicud in mny pp fom diffn poiion, nully quid nw wy of conucion of modl of dynmic of o-m in. W ll um modl offd in dd. T id of i modl i bd on umpion, poc of o-m in diffnibl М im, nd i М - mmicl dii i diffuion poc ifyin o ppopi ocic diffnil quion. In conidd c o obin quion fo dminion of pic dmiin oluion in xplici fom, w ll conid lin ocic diffnil quion of od М in pc o wi oliliy i non dpndn fom nd coninuou dmind fco, i.. d М а М М d а d bd dw, 3 o coninuou mmicl dii, М, diffnil d d, nd mmicl dii of od М ocic diffnil d М а М М d а d bd dw, 3 L' noic, quion 3 bcom omonou odiny diffnil quion fo dmind funcion, wic М dii d d d d I i poibl o pn nl oluion of quion u,,, 34 ou lu of poc nd i mmicl dii, М, iniil momn of im, nd lo om pil oluion u,, ppopi o pcil of iniil condiion:, j, fo ll j. L u um now, lu {, М } ndom ibl. Tn funcion dmind 34 will coninuou in qu mn mmicl dii up o od М inclui nd will b uniqu oluion of omonou ocic quion 3 wi ndom iniil condiion {, М }. T dciion of ocic diffnil quion 3 wi zo iniil condiion i dmind by fomul Øndl, 998

11 u, dw,, 35 w fo ny fixd funcion u, of ibl,, i oluion of omonou diffnil quion 33 wi iniil condiion u,, u,,, u М,, u М,. Tu, if o oluion 35 of quion 3 wi zo iniil condiion {, М } nd o dd o i dciion 34 omonou quion 33, n obind um will i oluion of quion 3 wi iniil condiion {, М }. Fo u of i oluion und diin of quion of dminion of pic, dmi diin of fomul in n xplici fom, i i mo connin o wi oluion of quion 33 in o fom. L' dmin М-co of ibl of o-m in follow, d d, М. 36 In dinion infiniiml incmn of fi М componn of co will b dmind follow d d, М, 37 bu und umpion l componn М М ifi o ocic diffnil quion 33, fomul 33, llow o wi ind of quion 3 followin ym of М diffnil quion of fi od in diffnil d d, d М М d, 38 d М а М М d а d bd dw. T oluion of i ym of quion i connin o pn in mix fom. Fo i pupo w ll wi 4 d d d d d dw. b If now fo compcn of cod of buly xpion o inoduc mix dinion, i quion will b win down

12 w dinion ud d α d β d δ dw, 39, β, δ, 4 b α. 4 I mn quion 39 i ppopi o quion in µ, α β,, δ, ow mon componn only on ocic bio. T oluion of ym 39 wi iniil condiion in ind fom i {, М} 4 U, U, β d U, γ dw, 43 w U, i fundmnl mix of oluion of omonou ym of odiny diffnil quion α din mmicl dii of co in pc. L' pn om uful popi of fundmnl mix of oluion U, α U,, U, U, α. U, U, U, fo ny,,. U, U,, U, I, I idniy mix. d U, ехр α d

13 Bid if mix α α i indpndn on, n mix U, dpnd only on on ibl diffnc bu no on wo ibl, i.. in i c U, U, U I, U UU, U U, αu Uα. L' dd now o oluion 43. A wll i w ncy o xpc, bcu of liniy of quion 3 i oluion i nomlly diibud ocic poc wi condiionl fixd xpcion nd coinc mix Е{ } U, Vа{ } U, β d, 44 T T U, δ δ U, d. 45 A pcicl pplicion on n in uully in poc fo oclld dy im xi, wn on nou l inl of im of poc oluion i xpcion nd i coinc no ndnci o unlimid inc. In i c inl in quliy 44 nd 45 ould xi. Fo i i i ncy fo y mix U,. Tu dpndnc fom i lo nd limiin niion w uncondiionl xpcion nd coinc mix if y xi Е{} U, β d, 46 T T Vа{} U, δ δ U, d. 47 Tfo, poblm of olin of quion 39 un o of findin of fundmnl mix of oluion U,. In nl c i i impoibl o find i mix. How impl oluion did in c, wn mix 4 i indpndn fom, i cofficin in quion 3 conn. T followin fomul fo U, i fi in i c: w U, U Vе Λ V, 48 е Λ, V. 49 H {, М} inlu of mix α, i.. oo of quion dα I. T fomul win down fo mo impl c, wn ll inlu iou. L' noic, fo xinc of dy im fo poc in i c, i.. fo xinc of inl in 46 47, i i ncy, ll inlu of mix α i w ni, o d ni l p in c of complx numb.

14 6. Exmpl. In Poc H On Dii L poc of if in mmicl dii, wic follow o diffuion poc d а d а d b d dw, 5 cciic polynomil а а, wic oo, 4!. 5 In mix fom quion 5 fom d d d d b dw. 5 Fom 5 i follow, fo xinc of dy poc of if in i i ncy, fco а nd а in quion 5 w ni. T mix V nd V in 48 fom V, V, 53 nd fundmnl mix of oluion i did in fom U. 54 Soluion of quion 5 in fom 43 i did b 55 u u u u u dw

15 und iniil condiion nd momn of im. A follow fom 44 45, fi wo m in 55 fom condiionl mmicl xpcion Е. T coinc mix V indpndn on nd xpd in fom V } V{ }, Co{ }, Co{ } V{ 56 d. T xplici fom of lmn of mix 56 by followin qulii V{ } 4, V{ } 4, Co{, }. L' noic, ll lmn of coinc mix 55 nd o zo, w ncy o xpc, in i c fixd nd unciny of dipp. T fomul fo uncondiionl xpcion nd coinc mix in c of ni oo nd cn b did, if in xpion fo cciic o p o limi. Tu if o ino ccoun oo nd conncd wi cofficin of quion 5 by lion а, а, а 4а, nd in i c on umpion а <, а <, n fo uncondiionl xpcion nd coinc mix of co of ibl w ll ci followin xpion Е b, V. 57

16 Tu, in dy im in i indpndn fom mmicl dii m coinc qul o zo xpcion b/ nd inc / а, wil mmicl dii of in zo xpcion nd inc / а. In m of fomul 9 E b/, E, Σ / а, Σ / а, Σ. If obbl m indx i only in nd i no obbl n in xpion 9 G, H. 7. Equion fo A Pic wn So-Tm In Poc i Diffnibl In c of diffnibl o-m in i bio o im no o popi, fo i i nul o conid, "compl" pic dpnd no only on in, bu lo fom i mmicl dii, i.. fom ll componn of co. Fomlly i co ifi quion 39, wic i pcil c of quion. Tfo quion fo dfiniion of pic in dcibd by quion, i lid fo in dcibd by quion 39 oo. Only min o find ou, ow fu of quion 39 ffc on fom of pic, if i pic cn b find xplici xpion. L' dd o conidion of quion 4 fo c, wn poc of cn of if o-m in i dcibd by quion 3 nd ibl o-m in nd i mmicl dii, М, wic compo co. Fom lion 39-4 follow, in i c q, nd М- co funcion of dif µ, nd mix of olilii i dn in М-co, in quion will fom µ, b, 58,,, Т,. Som implificion of quion 4 follow fom. Ty dmind by pcific fom 58 of co nd mix, P T µ T T T P b P P,

17 P T T,, P T, 59 P T, λ, λ, P T. In i p of quliy 59 ll ibl nd funcion cl, includin m pic of i λ,. Subiuin xpion 59 in quion 4, w ci i in followin fom w ll mind, ccodin o ou dinion P T T P T P b λ, P T Р Т. 6 To conid poblm of oluion of quion 6 concly i i ncy funcion λ, w dmind in xplici fom. A wll li in 5 w ll um, i i lin in pc o co, i.., λ, η ξ, ξ ξ ξ ξ. Tu in conidd c ll umpion 5 ld, xpion 6 cn b conidd oluion of quion 6. Tn quion nd fo funcion A, Т nd B, Т В В В М followin fom А η bв М ½ В М, 6 В ξ а В М, 6 В ξ а В М В, М. 63 Tu compl funcion of pic of n ci n ffin ucu in pc o nd i dmind by fomul Р,, Т ехр { A, T B } xp B, T, 64 w ibl, М, no obd. Tfo i min o compu xpcion 64 in pc o no obbl ibl. Ti ul in o finl fomul of yp 3. In c conidd only fi componn of ibl co i obd, o-m in, nd o ibl i mmicl dii. Bcu cofficin in quion 6 63 conn funcion A, Т nd B, Т will dpnd on inl umn, m o muiy T, i.. A, Т A, nd B, Т B. And lo A da d, B db d. Fu conid followin pcil c. Aum m pic of i i conn nd i indpndn on o-m

18 in nd i mmicl dii. Tn ξ nd quion 6 63 o wi i iniil condiion compo ym B а В М, B, B B а В М, B, М. 65 T mix of ym 65 i compl coincid wi mix α dmind by 4. Tfo i un ou quion 65 nd 39 dmind fo m mix α. Tn fundmnl mix of oluion bd on m inlu fo c in quion umd diffn nd ni o ni l p fo c of complx inlu. So funcion B wll dmind nd followin popi: y qul o zo nd nd o om limi lu. T limi lu B y found fom 65 bcu of B. So B /, B /, М. ow will coninu nlyi of xmpl of piou cion, w М. T oluion of ym 65 B, B, 66 w nd oo of cciic polynomil of ym 65 dmind by xpion 5. T funcion A i compud inl A [ η b B / B ]d. 67 Subiuion 66 nd 67 in fomul 57 wi B B nd B B will i finl fomul fo bond pic in i xmpl. 8. Exnion of Vic odl I i inin o now ow only fomul fo pic c conidd diff fom ppopi fomul in uul nlyi. Fo i xmpl will conid Vic modl of o-m in nd i modificion fo ppoc conidd. Vic 977 uppod o-m in follow poc wi ocic diffnil quion d θ d dw, 68 w >, θ >, >. Ti poc i obd nd dicoun bond pic im wi i dmind by fomul w Р V, ехр { B } A, 69 V V

19 A V [ λ θ BV / BV ]d. BV /. 7 H λ i conn m pic of i. A i i nown poc 68 lu of dy xpcion E[ ] θ nd dy inc V[ ] /. ow w will conuc poc 5 would b quiln o poc 68 in uc n i will m dy xpcion E[ ] θ nd m dy inc V[ ] /. Fo i i i ufficin,, b θ. Ti ul in o quion d [ θ ] d dw. 7 T quion 7 cn b conidd xnion of Vic modl on diffnibl poc of o-m in. Fo poc 7 oo of cciic polynomil ½ 4, ½ 4, nd funcion B nd B compud by fomul В В 4 4,. 7 T compl nlyi fo ny lu of pm i ou id of fmwo ou nlyi fo w will uppo only i pm mll lu mpiicl ul confim i, fo xmpl Pon nd Sun 994, i.. w uppo < ¼. To obin nlyicl ul fo compion wi Vic modl w will conid ppoximion of funcion B nd B will b bd on mlln of pm. o i ppoximion 4 O. Tfo О, О, Tn funcion B nd B will b В В О, 3 3 О. 73 Compion of funcion wi 7 i В В V О В V ε, 74

20 В В V 3 О В V ε, w funcion ε nd ε cn b conidd om djumn funcion ow diffnc funcion B nd B fom funcion В V. T djumn funcion nonni nd uc ε, ε,. Ty icd fom bo by lu mxε < О, mxε < О. 75 Tu bond pic in Vic modl i dmind by xpion Р V, ехр{в V [ λ θв V ½ В V ]d}, 76 w В V < i dmind in 7 wil in modifid modl conidd i pic i dmind by fomul Р, Р V, 77 ехр ε B B d V 4 θ λ ε ε. T l mulipli flc ffc on bond pic of xnion of Vic modl o o-m in poc no moin poc nd diffnibl on im. I ould b wiin fi m in xponn will b no n nil ol nd min conibuion in diffnc fom diion fomul will b i wo l m. Bcu y cn diffn in ffc of modificion ould b cful iniion. fnc Cox, J., Inoll J., o S A oy of m ucu of in. Economic. Vol. 53,. P Ili,. G.. T compi nlyi of m ucu modl of ffin yild cl. Poc. of - Inn. AFI Sympoium. Tomø. P dd G.A.. T Poc wi Dpndn Incmn micl odl of In Poc, Poc. of - Inn. AFI Sympoium. Tomø. P dd, G. A., Cox S. H T m pic of i fo ffin in m ucu. Poc. of 6- Inn. AFI Sympoium. umb. Р Øеndаl, B Socic Diffnil Equion. An Inoducion wi Applicion. Blin: Spin-Vl. Pon,. D. nd T.-S. Sun Exploiin Condiionl Dniy in Eimin Tm Sucu: An Applicion o Cox, Inoll nd o odl. Jounl of Finnc, 49, Vič, O An quilibium ccizion of m ucu. Jounl of Finncil Economic. Vol. 5. P

A Simple Method for Determining the Manoeuvring Indices K and T from Zigzag Trial Data

A Simple Method for Determining the Manoeuvring Indices K and T from Zigzag Trial Data Rind 8-- Wbsi: wwwshimoionsnl Ro 67, Jun 97, Dlf Univsiy of chnoloy, Shi Hydomchnics Lbooy, Mklw, 68 CD Dlf, h Nhlnds A Siml Mhod fo Dminin h Mnouvin Indics K nd fom Ziz il D JMJ Jouné Dlf Univsiy of chnoloy

More information

A New Model for the Pricing of Defaultable Bonds

A New Model for the Pricing of Defaultable Bonds A Nw Mol fo h Picing of Dflbl Bon Pof. D. Ri Zg Mnich Univiy of chnology Mi 6. Dzmb 004 HVB-Ini fo Mhmicl Finnc A Nw Mol fo h Picing of Dflbl Bon Ovviw Mk Infomion - Yil Cv Bhvio US y Sip - Ci Sp Bhvio

More information

BASE MAP ZONING APPLICATION ENGLER TRACT KELLER, TEXAS

BASE MAP ZONING APPLICATION ENGLER TRACT KELLER, TEXAS 375' LL IDG L1 L11 128' 18'4"W DILLING PD I IN 25 C IDNIL ZONING Y 377 IGH OF WY FO DING MN O OF X IGH OF WY MN FO DING CHNNL VOL 1431, PG 618 VOLUM 1431, PG 618 DC ' DING MN 97352' XIING 8 F MONY WLL

More information

Equations and Boundary Value Problems

Equations and Boundary Value Problems Elmn Diffnil Equions nd Bound Vlu Poblms Bo. & DiPim, 9 h Ediion Chp : Sond Od Diffnil Equions 6 คณ ตศาสตร ว ศวกรรม สาขาว ชาว ศวกรรมคอมพ วเตอร ป การศ กษา /555 ผศ.ดร.อร ญญา ผศ.ดร.สมศ กด วล ยร ชต Topis Homognous

More information

Partial Fraction Expansion

Partial Fraction Expansion Paial Facion Expanion Whn ying o find h inv Laplac anfom o inv z anfom i i hlpfl o b abl o bak a complicad aio of wo polynomial ino fom ha a on h Laplac Tanfom o z anfom abl. W will illa h ing Laplac anfom.

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

3.4 Repeated Roots; Reduction of Order

3.4 Repeated Roots; Reduction of Order 3.4 Rpd Roos; Rducion of Ordr Rcll our nd ordr linr homognous ODE b c 0 whr, b nd c r consns. Assuming n xponnil soluion lds o chrcrisic quion: r r br c 0 Qudric formul or fcoring ilds wo soluions, r &

More information

Chapter 4 Circular and Curvilinear Motions

Chapter 4 Circular and Curvilinear Motions Chp 4 Cicul n Cuilin Moions H w consi picls moing no long sigh lin h cuilin moion. W fis su h cicul moion, spcil cs of cuilin moion. Anoh mpl w h l sui li is h pojcil..1 Cicul Moion Unifom Cicul Moion

More information

1 Finite Automata and Regular Expressions

1 Finite Automata and Regular Expressions 1 Fini Auom nd Rgulr Exprion Moivion: Givn prn (rgulr xprion) for ring rching, w migh wn o convr i ino drminiic fini uomon or nondrminiic fini uomon o mk ring rching mor fficin; drminiic uomon only h o

More information

NEWBERRY FOREST MGT UNIT Stand Level Information Compartment: 10 Entry Year: 2001

NEWBERRY FOREST MGT UNIT Stand Level Information Compartment: 10 Entry Year: 2001 iz oy- kg vg. To. 1 M 6 M 10 11 100 60 oh hwoo uvg N o hul 0 Mix bg. woo, moly low quliy. Coif ompo houghou - WP/hmlok/pu/blm/. vy o whi pi o h ouh fig of. iffiul o. Th o hi i o PVT l wh h g o wll big

More information

AQUIFER DRAWDOWN AND VARIABLE-STAGE STREAM DEPLETION INDUCED BY A NEARBY PUMPING WELL

AQUIFER DRAWDOWN AND VARIABLE-STAGE STREAM DEPLETION INDUCED BY A NEARBY PUMPING WELL Pocing of h 1 h Innaional Confnc on Enionmnal cinc an chnolog Rho Gc 3-5 pmb 15 AUIFER DRAWDOWN AND VARIABE-AGE REAM DEPEION INDUCED BY A NEARBY PUMPING WE BAAOUHA H.M. aa Enionmn & Eng Rach Iniu EERI

More information

RIM= City-County Building, Suite 104 NE INV= Floor= CP #CP004 TOP SE BOLT LP BASE N= E= ELEV=858.

RIM= City-County Building, Suite 104 NE INV= Floor= CP #CP004 TOP SE BOLT LP BASE N= E= ELEV=858. f g c ch c y f M D b c Dm f ubc Wk x c M f g 23 IM=3. y-uy ug, u 0 N INV=0.0 F=0.99 20 M uh Kg, J. v. M, WI 303 h ch b b y v #00 O O O O N=93.200 =2920.00 ckby vyb FG2 f g Ghc c c c 03000 W FI ND O 9 0

More information

5/17/2016. Study of patterns in the distribution of organisms across space and time

5/17/2016. Study of patterns in the distribution of organisms across space and time Old Fossils 5/17/2016 Ch.16-4 Evidnc of Evoluion Biogogphy Ag of Eh / Fossil cod Anomy / Embyology Biochmicls Obsving / Tsing NS fis-hnd Sudy of pns in h disibuion of ognisms coss spc nd im Includs obsvion

More information

Derivation of the differential equation of motion

Derivation of the differential equation of motion Divion of h iffnil quion of oion Fis h noions fin h will us fo h ivion of h iffnil quion of oion. Rollo is hough o -insionl isk. xnl ius of h ll isnc cn of ll (O) - IDU s cn of gviy (M) θ ngl of inclinion

More information

CS 541 Algorithms and Programs. Exam 2 Solutions. Jonathan Turner 11/8/01

CS 541 Algorithms and Programs. Exam 2 Solutions. Jonathan Turner 11/8/01 CS 1 Algorim nd Progrm Exm Soluion Jonn Turnr 11/8/01 B n nd oni, u ompl. 1. (10 poin). Conidr vrion of or p prolm wi mulipliiv o. In i form of prolm, lng of p i produ of dg lng, rr n um. Explin ow or

More information

Math 266, Practice Midterm Exam 2

Math 266, Practice Midterm Exam 2 Mh 66, Prcic Midrm Exm Nm: Ground Rul. Clculor i NOT llowd.. Show your work for vry problm unl ohrwi d (pril crdi r vilbl). 3. You my u on 4-by-6 indx crd, boh id. 4. Th bl of Lplc rnform i vilbl h l pg.

More information

Laplace Transform. National Chiao Tung University Chun-Jen Tsai 10/19/2011

Laplace Transform. National Chiao Tung University Chun-Jen Tsai 10/19/2011 plc Trnorm Nionl Chio Tung Univriy Chun-Jn Ti /9/ Trnorm o Funcion Som opror rnorm uncion ino nohr uncion: d Dirniion: x x, or Dx x dx x Indini Ingrion: x dx c Dini Ingrion: x dx 9 A uncion my hv nicr

More information

Role of diagonal tension crack in size effect of shear strength of deep beams

Role of diagonal tension crack in size effect of shear strength of deep beams Fu M of Co Co Suu - A Fu M of Co - B. H. O,.( Ko Co Iu, Sou, ISBN 978-89-578-8-8 o of o o k z ff of of p m Y. Tk & T. Smomu Nok Uy of Tooy, N, Jp M. W Uym A Co. L., C, Jp ABSTACT: To fy ff of k popo o

More information

DYNAMICS OF A POPULATION SUBJECT TO IMPULSE TYPE RANDOM LOSS

DYNAMICS OF A POPULATION SUBJECT TO IMPULSE TYPE RANDOM LOSS PROCEEDINGS OF THE LATVIAN ACADEMY OF SCIENCES. Scion B Vol. 7 (7 No. 4 (79 pp. 98 3. DOI:.55/prol-7-5 DYNAMICS OF A POPULATION SUBJECT TO IMPULSE TYPE RANDOM LOSS Jvgòij Crov nd Kârli Ðduri # Dprmn of

More information

AN INTEGRO-DIFFERENTIAL EQUATION OF VOLTERRA TYPE WITH SUMUDU TRANSFORM

AN INTEGRO-DIFFERENTIAL EQUATION OF VOLTERRA TYPE WITH SUMUDU TRANSFORM Mmic A Vol. 2 22 o. 6 54-547 AN INTGRO-IRNTIAL QUATION O VOLTRRA TYP WITH UMUU TRANORM R Ji cool o Mmic d Allid cic Jiwji Uiviy Gwlio-474 Idi mil - ji3@dimil.com i ig pm o Applid Mmic Ii o Tcology d Mgm

More information

Chapter 2: Random Variables

Chapter 2: Random Variables Chp : ndom ibls.. Concp of ndom ibl.. Disibuion Funcions.. Dnsiy Funcions Funcions of ndom ibls.. n lus nd omns Hypgomic Disibuion.5. h Gussin ndom ibl Hisogms.. Dnsiy Funcions ld o Gussin.7. Oh obbiliy

More information

Addition & Subtraction of Polynomials

Addition & Subtraction of Polynomials Addiion & Sucion of Polynomil Addiion of Polynomil: Adding wo o moe olynomil i imly me of dding like em. The following ocedue hould e ued o dd olynomil 1. Remove enhee if hee e enhee. Add imil em. Wie

More information

ME 141. Engineering Mechanics

ME 141. Engineering Mechanics ME 141 Engineeing Mechnics Lecue 13: Kinemics of igid bodies hmd Shhedi Shkil Lecue, ep. of Mechnicl Engg, UET E-mil: sshkil@me.bue.c.bd, shkil6791@gmil.com Websie: eche.bue.c.bd/sshkil Couesy: Veco Mechnics

More information

NMR PHASE 1 - DUS TO 72ND AVE STATION REGIONAL TRANSPORTATION DISTRICT

NMR PHASE 1 - DUS TO 72ND AVE STATION REGIONAL TRANSPORTATION DISTRICT UIDY NO: DUNK IZ ND OION VI NM K NM N K YM ID I PN FO DI MNY UD I IND DJN O INID UNNIN I OF 3 -" -" - VI 3 -" K ON ID ND FI I VI DOP OF MO N 3 F 3 U P N QUIMN OF ONFOMD ON *NY PO 9 -" O OUION -" -" 9 -"

More information

D zone schemes

D zone schemes Ch. 5. Enegy Bnds in Cysls 5.. -D zone schemes Fee elecons E k m h Fee elecons in cysl sinα P + cosα cosk α cos α cos k cos( k + π n α k + πn mv ob P 0 h cos α cos k n α k + π m h k E Enegy is peiodic

More information

Fourier Series and Parseval s Relation Çağatay Candan Dec. 22, 2013

Fourier Series and Parseval s Relation Çağatay Candan Dec. 22, 2013 Fourir Sris nd Prsvl s Rlion Çğy Cndn Dc., 3 W sudy h m problm EE 3 M, Fll3- in som dil o illusr som conncions bwn Fourir sris, Prsvl s rlion nd RMS vlus. Q. ps h signl sin is h inpu o hlf-wv rcifir circui

More information

A1 1 LED - LED 2x2 120 V WHITE BAKED RECESSED 2-3/8" H.E. WILLIAMS PT-22-L38/835-RA-F358L-DIM-BD-UNV 37

A1 1 LED - LED 2x2 120 V WHITE BAKED RECESSED 2-3/8 H.E. WILLIAMS PT-22-L38/835-RA-F358L-DIM-BD-UNV 37 O NU +'-" ac I U I K K OUNIN I NIN UN O OUN U IUI INU O INI OO O INI I NIN UNI INUIN IY I UO. N WI Y K ONUI IUI ONO N UN NO () () O O W U I I IIUION N IIN I ONO U N N O IN IO NY. I UIN NY OW O I W OO OION-OO

More information

NUCON NRNON CONRNC ON CURRN RN N CHNOOGY, 011 oo uul o w ul x ol volv y y oll. y ov,., - o lo ll vy ul o Mo l u v ul (G) v Gl vlu oll. u 3- [11]. 000

NUCON NRNON CONRNC ON CURRN RN N CHNOOGY, 011 oo uul o w ul x ol volv y y oll. y ov,., - o lo ll vy ul o Mo l u v ul (G) v Gl vlu oll. u 3- [11]. 000 NU O HMB NRM UNVRY, HNOOGY, C 8 0 81, 8 3-1 01 CMBR, 0 1 1 l oll oll ov ll lvly lu ul uu oll ul. w o lo u uol u z. ul l u oll ul. quk, oll, vl l, lk lo, - ul o u v (G) v Gl o oll. ul l u vlu oll ul uj

More information

333 Ravenswood Avenue

333 Ravenswood Avenue O AL i D wy Bl o S kw y y ph Rwoo S ho P ol D b y D Pk n i l Co Sn lo Aipo u i R D Wil low R h R M R O g n Ex py i A G z S S Mi lf O H n n iv Po D R A P g M ill y xpw CA Licn No 01856608 Ex p wy R 203

More information

I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o

I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o u l d a l w a y s b e t a k e n, i n c l u d f o l

More information

LAPLACE TRANSFORMS. 1. Basic transforms

LAPLACE TRANSFORMS. 1. Basic transforms LAPLACE TRANSFORMS. Bic rnform In hi coure, Lplce Trnform will be inroduced nd heir properie exmined; ble of common rnform will be buil up; nd rnform will be ued o olve ome dierenil equion by rnforming

More information

rig T h e y plod vault with < abort Ve i waiting for nj tld arrivi distant friend To whom wondering gram?" "To James Boynton." worded?

rig T h e y plod vault with < abort Ve i waiting for nj tld arrivi distant friend To whom wondering gram? To James Boynton. worded? G F F C OL 7 ^ 6 O D C C G O U G U 5 393 CLLD C O LF O 93 =3 O x x [ L < «x -?" C ; F qz " " : G! F C? G C LUC D?"! L G C O O ' x x D D O - " C D F O LU F L O DOGO OGL C D CUD C L C X ^ F O : F -?! L U

More information

graph of unit step function t

graph of unit step function t .5 Piecewie coninuou forcing funcion...e.g. urning he forcing on nd off. The following Lplce rnform meril i ueful in yem where we urn forcing funcion on nd off, nd when we hve righ hnd ide "forcing funcion"

More information

SHINGLETON FOREST AREA Stand Level Information Compartment: 44 Entry Year: 2009

SHINGLETON FOREST AREA Stand Level Information Compartment: 44 Entry Year: 2009 iz y U oy- kg g vg. To. i Ix Mg * "Compm Pk Gloy of Tm" oum lik o wb i fo fuh ipio o fiiio. Coiio ilv. Cii M? Mho Cu Tm. Pio v Pioiy Culul N 1 5 3 13 60 7 50 42 blk pu-wmp ol gowh N 20-29 y (poil o ul)

More information

Motion on a Curve and Curvature

Motion on a Curve and Curvature Moion on Cue nd Cuue his uni is bsed on Secions 9. & 9.3, Chpe 9. All ssigned edings nd execises e fom he exbook Objecies: Mke cein h you cn define, nd use in conex, he ems, conceps nd fomuls lised below:

More information

Part 3 System Identification

Part 3 System Identification 2.6 Sy Idnificaion, Eiaion, and Larning Lcur o o. 5 Apri 2, 26 Par 3 Sy Idnificaion Prpci of Sy Idnificaion Tory u Tru Proc S y Exprin Dign Daa S Z { u, y } Conincy Mod S arg inv θ θ ˆ M θ ~ θ? Ky Quion:

More information

Example: Two Stochastic Process u~u[0,1]

Example: Two Stochastic Process u~u[0,1] Co o Slo o Coco S Sh EE I Gholo h@h. ll Sochc Slo Dc Slo l h PLL c Mo o coco w h o c o Ic o Co B P o Go E A o o Po o Th h h o q o ol o oc o lco q ccc lco l Bc El: Uo Dbo Ucol Sl Ab bo col l G col G col

More information

Jonathan Turner Exam 2-10/28/03

Jonathan Turner Exam 2-10/28/03 CS Algorihm n Progrm Prolm Exm Soluion S Soluion Jonhn Turnr Exm //. ( poin) In h Fioni hp ruur, u wn vrx u n i prn v u ing u v i v h lry lo hil in i l m hil o om ohr vrx. Suppo w hng hi, o h ing u i prorm

More information

Your Choice! Your Character. ... it s up to you!

Your Choice! Your Character. ... it s up to you! Y 2012 i y! Ti i il y Fl l/ly Iiiiv i R Iiy iizi i Ty Pv Riiliy l Diili Piiv i i y! 2 i l & l ii 3 i 4 D i iv 6 D y y 8 P yi N 9 W i Bllyi? 10 B U 11 I y i 12 P ili D lii Gi O y i i y P li l I y l! iy

More information

CSCI-1200 Data Structures Fall 2017 Lecture 14 Problem Solving Techniques, Continued

CSCI-1200 Data Structures Fall 2017 Lecture 14 Problem Solving Techniques, Continued CSCI-1200 D Sucu Fll 2017 Lcu 14 Poblm Solving Tchniqu, Coninud Announcmn: T 2 Infomion T 2 will b hld Mondy, Oc. 23h fom 6-8pm. Pl u Submiy o indic if you lf-hndd o igh-hndd bfo 6pm Fidy. You ing ignmn

More information

Relation between Fourier Series and Transform

Relation between Fourier Series and Transform EE 37-3 8 Ch. II: Inro. o Sinls Lcur 5 Dr. Wih Abu-Al-Su Rlion bwn ourir Sris n Trnsform Th ourir Trnsform T is riv from h finiion of h ourir Sris S. Consir, for xmpl, h prioic complx sinl To wih prio

More information

Reinforcement learning

Reinforcement learning CS 75 Mchine Lening Lecue b einfocemen lening Milos Huskech milos@cs.pi.edu 539 Senno Sque einfocemen lening We wn o len conol policy: : X A We see emples of bu oupus e no given Insed of we ge feedbck

More information

Exam 2 Solutions. Jonathan Turner 4/2/2012. CS 542 Advanced Data Structures and Algorithms

Exam 2 Solutions. Jonathan Turner 4/2/2012. CS 542 Advanced Data Structures and Algorithms CS 542 Avn Dt Stutu n Alotm Exm 2 Soluton Jontn Tun 4/2/202. (5 ont) Con n oton on t tton t tutu n w t n t 2 no. Wt t mllt num o no tt t tton t tutu oul ontn. Exln you nw. Sn n mut n you o u t n t, t n

More information

Bipartite Matching. Matching. Bipartite Matching. Maxflow Formulation

Bipartite Matching. Matching. Bipartite Matching. Maxflow Formulation Mching Inpu: undireced grph G = (V, E). Biprie Mching Inpu: undireced, biprie grph G = (, E).. Mching Ern Myr, Hrld äcke Biprie Mching Inpu: undireced, biprie grph G = (, E). Mflow Formulion Inpu: undireced,

More information

Adrian Sfarti University of California, 387 Soda Hall, UC Berkeley, California, USA

Adrian Sfarti University of California, 387 Soda Hall, UC Berkeley, California, USA Innionl Jonl of Phoonis n Oil Thnolo Vol. 3 Iss. : 36-4 Jn 7 Rliisi Dnis n lonis in Unifol l n in Unifol Roin s-th Gnl ssions fo h loni 4-Vo Ponil in Sfi Unisi of Clifoni 387 So Hll UC Bkl Clifoni US s@ll.n

More information

Boyce/DiPrima 9 th ed, Ch 7.6: Complex Eigenvalues

Boyce/DiPrima 9 th ed, Ch 7.6: Complex Eigenvalues BocDPm 9 h d Ch 7.6: Compl Egvlus Elm Dffl Equos d Boud Vlu Poblms 9 h do b Wllm E. Boc d Rchd C. DPm 9 b Joh Wl & Sos Ic. W cosd g homogous ssm of fs od l quos wh cos l coffcs d hus h ssm c b w s ' A

More information

Single Correct Type. cos z + k, then the value of k equals. dx = 2 dz. (a) 1 (b) 0 (c)1 (d) 2 (code-v2t3paq10) l (c) ( l ) x.

Single Correct Type. cos z + k, then the value of k equals. dx = 2 dz. (a) 1 (b) 0 (c)1 (d) 2 (code-v2t3paq10) l (c) ( l ) x. IIT JEE/AIEEE MATHS y SUHAAG SIR Bhopl, Ph. (755)3 www.kolsss.om Qusion. & Soluion. In. Cl. Pg: of 6 TOPIC = INTEGRAL CALCULUS Singl Corr Typ 3 3 3 Qu.. L f () = sin + sin + + sin + hn h primiiv of f()

More information

The Laplace Transform

The Laplace Transform Th Lplc Trnform Dfiniion nd propri of Lplc Trnform, picwi coninuou funcion, h Lplc Trnform mhod of olving iniil vlu problm Th mhod of Lplc rnform i ym h rli on lgbr rhr hn clculu-bd mhod o olv linr diffrnil

More information

! ( ! ( " ) ) ( ( # BRENT CROSS CRICKLEWOOD BXC PHASE 1B NORTH PERSONAL INJURY ACCIDENT AREA ANALYSIS STUDY AREA TP-SK-0001.

! ( ! (  ) ) ( ( # BRENT CROSS CRICKLEWOOD BXC PHASE 1B NORTH PERSONAL INJURY ACCIDENT AREA ANALYSIS STUDY AREA TP-SK-0001. # PU: P # OU: O ow oih ih. Oc v c: i,, o,, I, ic P o., O, U, FO, P,, o, I,, Oc v, i J, I, i hi, woo, Ii, O ciuo, h I U i h wi h fo h of O' ci. I o, oifi, c o i u hi, xc O o qui w. O cc o iii, iii whov,

More information

Let's celebrate Europe's day

Let's celebrate Europe's day L' clb Eup' dy Fdy,My 7 2010 cc f Gzll Sm & Mgy Mcmb clb Eup' dy L NEF. F m f f L NEF 6:45 pm v Gzll Sm, B g. L Nf v lcmd pjc vy ll. Ty v ffd u cm d v Gzll Sm d v ccpd. Ty vd u cc. .dg-lf.cm/ W mpd by

More information

Stable Matching for Spectrum Market with Guaranteed Minimum Requirement

Stable Matching for Spectrum Market with Guaranteed Minimum Requirement Sl g Spum Gun mum Rqumn Yno n T S Ky Sw ngg ompu Sool Wun Uny nyno@wuun Yuxun Xong T S Ky Sw ngg ompu Sool Wun Uny xongyx@mlluun Qn Wng ompu Sool Wun Uny qnwng@wuun STRT Xoyn Y Sool mon Tlogy ow Uny X

More information

Why would precipitation patterns vary from place to place? Why might some land areas have dramatic changes. in seasonal water storage?

Why would precipitation patterns vary from place to place? Why might some land areas have dramatic changes. in seasonal water storage? Bu Mb Nx Gi Cud-f img, hwig Eh ufc i u c, hv b cd + Bhymy d Tpgphy fm y f mhy d. G d p, bw i xpd d ufc, bu i c, whi i w. Ocb 2004. Wh fm f w c yu idify Eh ufc? Why wud h c ufc hv high iiy i m, d w iiy

More information

and A T. T O S O L O LOWELL. MICHIGAN. THURSDAY. NOVEMBER and Society Seriously Hurt Ann Arbor News Notes Thursday Eve

and A T. T O S O L O LOWELL. MICHIGAN. THURSDAY. NOVEMBER and Society Seriously Hurt Ann Arbor News Notes Thursday Eve M-M- M N > N B W MN UY NVMB 22 928 VUM XXXV --> W M B B U M V N QUY Y Q W M M W Y Y N N M 0 Y W M Y x zz MM W W x M x B W 75 B 75 N W Y B W & N 26 B N N M N W M M M MN M U N : j 2 YU N 9 M 6 -- -

More information

. ɪ. , Outa 1.THEPROJECT 2.ASTORY THAT NEEDS TO BE 3.THESCENARIO 4.THECHARACTERS 5.THEPRODUCTION 6.THECREW 8.CONTACTDETAILS

. ɪ. , Outa 1.THEPROJECT 2.ASTORY THAT NEEDS TO BE 3.THESCENARIO 4.THECHARACTERS 5.THEPRODUCTION 6.THECREW 8.CONTACTDETAILS d w d ŋə ɪ d onoun P ] Ou d[ op p d pou Y np dou : n nm hm w onph ' o!i u no Ou qu Un ommon un u np dou o: Bu d w n d 1THEPROJECT TOLD 2ATORY THAT NEED TO BE 3THECENARIO 4THECHARACTER 5THEPRODUCTION 6THECREW

More information

MEDWAY SPORTS DEVELOPMENT

MEDWAY SPORTS DEVELOPMENT PB 2:L 1 13:36 P 1 MEDWAY SPTS DEVELPMENT.m.v./vlm A i 11 Bfil Sl i P-16 FE C? D v i i? T l i i S Li Pmm? B fi Ti iq l vlm mm ill l vl fi, mivi ill vii flli ii: l Nm S l : W Tm li ii (ili m fi i) j l i?

More information

A-1 WILDCARD BEER TASTING ROOM 3 DRAWING INDEX & STATE CODES 4 PROJECT DATA SOLANO AVE KAINS AVE. 5 AERIAL VIEW 6 PROJECT TEAM TENANT IMPROVEMENTS

A-1 WILDCARD BEER TASTING ROOM 3 DRAWING INDEX & STATE CODES 4 PROJECT DATA SOLANO AVE KAINS AVE. 5 AERIAL VIEW 6 PROJECT TEAM TENANT IMPROVEMENTS NN : 11 ONO VNU, BNY OWN: WI BWING O. XIING NN U: I B ING NN NB : FI FOO 1,090 F NO HNG MZZNIN 80 F 6 F O 1,70 F 1,5 F MZZNIN : MZZNIN I U O % 1 FOO NN OUPN O: 1 FOO FO O ING OOM 59 F 15 0.5 B 117 F 100

More information

ELECTRIC VELOCITY SERVO REGULATION

ELECTRIC VELOCITY SERVO REGULATION ELECIC VELOCIY SEVO EGULAION Gorg W. Younkin, P.E. Lif FELLOW IEEE Indusril Conrols Consuling, Di. Bulls Ey Mrking, Inc. Fond du Lc, Wisconsin h prformnc of n lcricl lociy sro is msur of how wll h sro

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

Fourier. Continuous time. Review. with period T, x t. Inverse Fourier F Transform. x t. Transform. j t

Fourier. Continuous time. Review. with period T, x t. Inverse Fourier F Transform. x t. Transform. j t Coninuous im ourir rnsform Rviw. or coninuous-im priodic signl x h ourir sris rprsnion is x x j, j 2 d wih priod, ourir rnsform Wh bou priodic signls? W willl considr n priodic signl s priodic signl wih

More information

( ) ( ) ( ) 0. Conservation of Energy & Poynting Theorem. From Maxwell s equations we have. M t. From above it can be shown (HW)

( ) ( ) ( ) 0. Conservation of Energy & Poynting Theorem. From Maxwell s equations we have. M t. From above it can be shown (HW) 8 Conson o n & Ponn To Fo wll s quons w D B σ σ Fo bo n b sown (W) o s W w bo on o s l us n su su ul ow ns [W/ ] [W] su P su B W W 4 444 s W A A s V A A : W W R o n o so n n: [/s W] W W 4 44 9 W : W F

More information

University of Toledo REU Program Summer 2002

University of Toledo REU Program Summer 2002 Univiy of Toldo REU Pogam Summ 2002 Th Effc of Shadowing in 2-D Polycyallin Gowh Jff Du Advio: D. Jacqu Ama Dpamn of Phyic, Univiy of Toldo, Toldo, Ohio Abac Th ffc of hadowing in 2-D hin film gowh w udid

More information

Bus times from 18 January 2016

Bus times from 18 January 2016 1 3 i ml/ Fm vig: Tllc uchhuggl Pkh ig Fm u im fm 18 Ju 2016 Hll lcm Thk f chig vl ih Fi W p xiv k f vic hughu G Glg h ig mk u ju pibl Ii hi gui u c icv: Th im p hi vic Pg 6-15 18-19 Th u ii v Pg -5 16-17

More information

ADDENDUM NUMBER THREE

ADDENDUM NUMBER THREE ovember 0, 08 OO LII YM U of U roject umber 9 he following is issued to supplement and/or revise the id ocument as described below. Unless specifically changed by this or previously issued, the id ocument

More information

Remember. Passover: A Time. The to

Remember. Passover: A Time. The to v: im kill ml lmb i m. ibl xli Ci v lmb i (1 Cii 5:7). i ii m l ii i l bk ( 19:32). mmb G i li b v l bk b v lmb. i b i v i b bk i iixi ( 19:33). i lm bv v. v i v lb? Mb mmb i l m bk x li i b i. i li b

More information

UDDH. B O DY, OM H F VOW YOU LF, ND KLP, FUU ND GD NN O CND L, PU PC O UN O O BCK COM N OU, L H UN BUDDH' MK. HN H OPN MO. ONC LOOULY G H L GN. G DHM'

UDDH. B O DY, OM H F VOW YOU LF, ND KLP, FUU ND GD NN O CND L, PU PC O UN O O BCK COM N OU, L H UN BUDDH' MK. HN H OPN MO. ONC LOOULY G H L GN. G DHM' x lv u G M Hg Cmm k M Hu Hu L H u g B l M C u m u #173 Y: WH CUNG POP DHM O MN LONG N WOLD? H OU WOLD HOD ON, FO OU K, CULVD BODH WY FO MUL KLP. COULD PCC WH W DFFCUL O P CC, COULD NDU WH W DFFCUL O NDU.

More information

Contraction Mapping Principle Approach to Differential Equations

Contraction Mapping Principle Approach to Differential Equations epl Journl of Science echnology 0 (009) 49-53 Conrcion pping Principle pproch o Differenil Equions Bishnu P. Dhungn Deprmen of hemics, hendr Rn Cmpus ribhuvn Universiy, Khmu epl bsrc Using n eension of

More information

Supporting Online Materials for

Supporting Online Materials for Suppoing Onlin Mils o Flxibl Schbl nspn Mgn- Cbon Nnoub hin Film Loudspks Lin Xio*, Zhuo Chn*, Chn Fng, Ling Liu, Zi-Qio Bi, Yng Wng, Li Qin, Yuying Zhng, Qunqing Li, Kili Jing**, nd Shoushn Fn** Dpmn

More information

Lecture 21 : Graphene Bandstructure

Lecture 21 : Graphene Bandstructure Fundmnls of Nnolcronics Prof. Suprio D C 45 Purdu Univrsi Lcur : Grpn Bndsrucur Rf. Cpr 6. Nwor for Compuionl Nnocnolog Rviw of Rciprocl Lic :5 In ls clss w lrnd ow o consruc rciprocl lic. For D w v: Rl-Spc:

More information

-Z ONGRE::IONAL ACTION ON FY 1987 SUPPLEMENTAL 1/1

-Z ONGRE::IONAL ACTION ON FY 1987 SUPPLEMENTAL 1/1 -Z-433 6 --OGRE::OA ATO O FY 987 SUPPEMETA / APPR)PRATO RfQUEST PAY AD PROGRAM(U) DE ARTMET OF DEES AS O' D 9J8,:A:SF ED DEFS! WA-H ODM U 7 / A 25 MRGOPf RESOUTO TEST HART / / AD-A 83 96 (~Go w - %A uj

More information

2011 8th International Conference on Electrical Engineering, Computing Science and Automatic Control.

2011 8th International Conference on Electrical Engineering, Computing Science and Automatic Control. 211 8 Il C Ell E Cpu S Au Cl Aly Cll I Al G Cl-Lp I Appl Pu DC S k u PD l R 1 F O 1 1 U Plé V Só ó A Nu Tlí S/N Pqu Cí y Tló TECNOTA K C V-S l E-l: @upux 87@l A Uully l ppl y l py ly x l l H l- lp uu u

More information

STANLEV M. MOORE SLAIN IN COLORADO

STANLEV M. MOORE SLAIN IN COLORADO MU O O BUDG Y j M O B G 3 O O O j> D M \ ) OD G D OM MY MO- - >j / \ M B «B O D M M (> M B M M B 2 B 2 M M : M M j M - ~ G B M M M M M M - - M B 93 92 G D B ; z M -; M M - - O M // D M B z - D M D - G

More information

fnm 'et Annual Meeting

fnm 'et Annual Meeting UUVtK Ht.t, A 0 8 4 S.. Rittin Nub t, n L Y t U N i, n ' A N n, t\ V n b n k pny' ull N) 0 R Z A L A V N U X N S N R N R H A V N U R A P A R K A L A N Y Buin Add. N. Stt ity wn / Pvin) Ali l) lil tal?l

More information

Silv. Criteria Met? Condition

Silv. Criteria Met? Condition NEWERRY FORET MGT UNIT Ifomio Compm: 106 Ey Y: 2001 iz oy- kg g vg. To. i 1 Q 6 Q 2 48 115 9 100 35 mix wmp mu Y o hul 0 j low i Ro (ou o ply vilbl) h o h ouhw wih 10' f. Culy o o hough PVT popy o hi.

More information

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System EE 422G No: Chapr 5 Inrucor: Chung Chapr 5 Th Laplac Tranform 5- Inroducion () Sym analyi inpu oupu Dynamic Sym Linar Dynamic ym: A procor which proc h inpu ignal o produc h oupu dy ( n) ( n dy ( n) +

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

SOUTHWESTERN ELECTRIC POWER COMPANY SCHEDULE H-6.1b NUCLEAR UNIT OUTAGE DATA. For the Test Year Ended March 31, 2009

SOUTHWESTERN ELECTRIC POWER COMPANY SCHEDULE H-6.1b NUCLEAR UNIT OUTAGE DATA. For the Test Year Ended March 31, 2009 Schedule H-6.lb SOUTHWSTRN LCTRIC POWR COMPANY SCHDUL H-6.1b NUCLAR UNIT OUTAG DATA For the Test Year nded March 31, 29 This schedule is not applicable to SVvPCO. 5 Schedule H-6.1 c SOUTHWSTRN LCTRIC POWR

More information

Approximately Inner Two-parameter C0

Approximately Inner Two-parameter C0 urli Jourl of ic d pplid Scic, 5(9: 0-6, 0 ISSN 99-878 pproximly Ir Two-prmr C0 -group of Tor Produc of C -lgr R. zri,. Nikm, M. Hi Dprm of Mmic, Md rc, Ilmic zd Uivriy, P.O.ox 4-975, Md, Ir. rc: I i ppr,

More information

ARCHITECTURAL SITE PLAN

ARCHITECTURAL SITE PLAN I I VI. MI L L ' - 0 /" NIN PN 9' - 0 /" :IVIL ' - " ' - " ' - 0" ' - /" ' - /" N BIK WIN ' - " ' - 0" ' - " BUILIN WK PIN. IN BUILIN LIN W/ IVIL NIN & UVY & NIY I NY IPNI NLI WI INMIN INII N IUL PLN B

More information

Flow Networks Alon Efrat Slides courtesy of Charles Leiserson with small changes by Carola Wenk. Flow networks. Flow networks CS 445

Flow Networks Alon Efrat Slides courtesy of Charles Leiserson with small changes by Carola Wenk. Flow networks. Flow networks CS 445 CS 445 Flow Nework lon Efr Slide corey of Chrle Leieron wih mll chnge by Crol Wenk Flow nework Definiion. flow nework i direced grph G = (V, E) wih wo diingihed erice: orce nd ink. Ech edge (, ) E h nonnegie

More information

LLOQ=UWQOW=^j @ LOW O LOO O U L U LO U O OOLL L L LOW U O O LO OUU O OOLL U O UO UO UX UXLY UL UOO Y Y U O OOLL O Y OUU O OOLL U L U U L U OU OO O W U O W ULY U U W LL W U W LL W ULY ULO K U L L L OOL

More information

SHEET L102 BUILDING TYPE D - (2) AREA = 3,425 SF (6,850 SF) E-1 LANDSCAPE EDGE TYP A-1 BUILDING TYPE E - (4) AREA = 5,128 SF (20,512 SF) B-1

SHEET L102 BUILDING TYPE D - (2) AREA = 3,425 SF (6,850 SF) E-1 LANDSCAPE EDGE TYP A-1 BUILDING TYPE E - (4) AREA = 5,128 SF (20,512 SF) B-1 D G S C D 11 12 IV QUIMNS SUMMY BUIDING - (3) 5,55 SF (16,65 SF) BUIDING B - (4) 6,146 SF (24,584 SF) BIONION BSIN N -2 BUIDING C - (1) 1,995 SF (1,995 SF) BIONION BSIN DG BUIDING D - (2) 3,425 SF (6,85

More information

PLAYGROUND SALE Take up to 40% off. Plus FREE equipment * with select purchase DETAILS INSIDE

PLAYGROUND SALE Take up to 40% off. Plus FREE equipment * with select purchase DETAILS INSIDE PLYROUND SL Tk up t 40% ff Plu FR quipnt * with lct puch DTILS INSID T BONUS QUIPMNT FR! T BONUS QUIPMNT FR * Mk qulifing $10K, $0K $30K puch f thi ORDR $10K ORDR $0K ORDR $30K T ON FR* T TO FR* T THR

More information

Some Inequalities variations on a common theme Lecture I, UL 2007

Some Inequalities variations on a common theme Lecture I, UL 2007 Some Inequliies vriions on common heme Lecure I, UL 2007 Finbrr Hollnd, Deprmen of Mhemics, Universiy College Cork, fhollnd@uccie; July 2, 2007 Three Problems Problem Assume i, b i, c i, i =, 2, 3 re rel

More information

FIRST PART OF BOXER NAME FIRST PART OF BOXER NAME FIRST PART OF BOXER NAME FIRST PART OF BOXER NAME. Find the initial of your first name!

FIRST PART OF BOXER NAME FIRST PART OF BOXER NAME FIRST PART OF BOXER NAME FIRST PART OF BOXER NAME. Find the initial of your first name! M L L O P B O V D 1 0 1 4 1 8 W K # 4 O N H O H O D Y C N M 9 1 5/1 0 4 5 P P L D O N 1 5M N B nb /N m /N N m n o/ h p o n w h ou d ndp p hm f o hd P V C Wh Y oundb nb WHY ODO b n odu n ou f ndw om n d

More information

T HE 1017TH MEETING OF THE BRODIE CLUB The 1017th Meeting of the Brodie Club was held at 7:30 pm on January 15, 2008 in the R amsay Wright Laboratorie

T HE 1017TH MEETING OF THE BRODIE CLUB The 1017th Meeting of the Brodie Club was held at 7:30 pm on January 15, 2008 in the R amsay Wright Laboratorie 1017 MN OF BRO LUB 1017h M Bi lu hl 7:30 u 15, 2008 R Wih Li Uivi. hi: : A h 28 u. u: hl M, u A i u, u vi ull R : K Ah, Oliv B, Bill Rl N W BUN: M u vl: l v, Bu Fll, v ull l B u Fll i Fu k ul M, l u u

More information

Visit to meet more individuals who benefit from your time

Visit   to meet more individuals who benefit from your time NOURISHINGN G. Vlz S 2009 BR i y ii li i Cl. N i. J l l. Rl. A y l l i i ky. Vii.li.l. iiil i y i &. 71 y l Cl y, i iil k. 28 y, k My W i ily l i. Uil y, y k i i. T j il y. Ty il iy ly y - li G, y Cl.

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

Transfer function and the Laplace transformation

Transfer function and the Laplace transformation Lab No PH-35 Porland Sa Univriy A. La Roa Tranfr funcion and h Laplac ranformaion. INTRODUTION. THE LAPLAE TRANSFORMATION L 3. TRANSFER FUNTIONS 4. ELETRIAL SYSTEMS Analyi of h hr baic paiv lmn R, and

More information

The model proposed by Vasicek in 1977 is a yield-based one-factor equilibrium model given by the dynamic

The model proposed by Vasicek in 1977 is a yield-based one-factor equilibrium model given by the dynamic h Vsick modl h modl roosd by Vsick in 977 is yild-bsd on-fcor quilibrium modl givn by h dynmic dr = b r d + dw his modl ssums h h shor r is norml nd hs so-clld "mn rvring rocss" (undr Q. If w u r = b/,

More information

( ) ( ) ( ) ( ) ( ) ( y )

( ) ( ) ( ) ( ) ( ) ( y ) 8. Lengh of Plne Curve The mos fmous heorem in ll of mhemics is he Pyhgoren Theorem. I s formulion s he disnce formul is used o find he lenghs of line segmens in he coordine plne. In his secion you ll

More information

FL/VAL ~RA1::1. Professor INTERVI of. Professor It Fr recru. sor Social,, first of all, was. Sys SDC? Yes, as a. was a. assumee.

FL/VAL ~RA1::1. Professor INTERVI of. Professor It Fr recru. sor Social,, first of all, was. Sys SDC? Yes, as a. was a. assumee. B Pror NTERV FL/VAL ~RA1::1 1 21,, 1989 i n or Socil,, fir ll, Pror Fr rcru Sy Ar you lir SDC? Y, om um SM: corr n 'd m vry ummr yr. Now, y n y, f pr my ry for ummr my 1 yr Un So vr ummr cour d rr o l

More information

ADDENDUM. The Boxall Profile Handbook (Revised)

ADDENDUM. The Boxall Profile Handbook (Revised) NM xll Pfil Hdbk (vid) ONN xll Pfil (1) i 1: Pl: i fil i : Pl: d Pfil i : : i Pfil i : : d Pfil i : ld: i Pfil i : ld: d Pfil i : ily: i Pfil i : ily: d Pfil i : d: i Pfil 1 i : d: d Pfil 1 i : : i Pfil

More information

Wealth Planning. Wealth Accumulation. Wealth Pr eser vation. Securities offered through LPL Financial, Member FINRA/SIPC

Wealth Planning. Wealth Accumulation. Wealth Pr eser vation. Securities offered through LPL Financial, Member FINRA/SIPC Wl Plig. Wl Aumuli. Wl P vi. Suii d ug LPL Fiil, Mmb FINRA/SIPC A F u u A F Fu uu l iflu ll mi l l m Suig yu dm k d gy, lvig lil im wl mgm. W k pibiliy yu d wil lpig yu puu yu gl. Wi u yu wl dvi, yu will

More information

Handout on. Crystal Symmetries and Energy Bands

Handout on. Crystal Symmetries and Energy Bands dou o Csl s d g Bds I hs lu ou wll l: Th loshp bw ss d g bds h bs of sp-ob ouplg Th loshp bw ss d g bds h ps of sp-ob ouplg C 7 pg 9 Fh Coll Uvs d g Bds gll hs oh Th sl pol ss ddo o h l slo s: Fo pl h

More information

SYMMETRICAL COMPONENTS

SYMMETRICAL COMPONENTS SYMMETRCA COMPONENTS Syl oponn llow ph un of volg n un o pl y h p ln yl oponn Con h ph ln oponn wh Engy Convon o 4 o o wh o, 4 o, 6 o Engy Convon SYMMETRCA COMPONENTS Dfn h opo wh o Th o of pho : pov ph

More information

0 for t < 0 1 for t > 0

0 for t < 0 1 for t > 0 8.0 Sep nd del funcions Auhor: Jeremy Orloff The uni Sep Funcion We define he uni sep funcion by u() = 0 for < 0 for > 0 I is clled he uni sep funcion becuse i kes uni sep = 0. I is someimes clled he Heviside

More information

Grades 3 5 scholastic.com/poetryismypower

Grades 3 5 scholastic.com/poetryismypower POSTER AND TEACHING GUIDE Sd Educil Mil Exli P Fi Civi Buildi Cfidc Gd 3 5 chlic.cm/im STUDENT POETRY CONTEST! SCHOLASTIC d cid l dmk d/ id dmk f Schlic Ic. All ih vd. 0-439-00000-0 2017 Amic Gil. All

More information

fur \ \,,^N/ D7,,)d.s) 7. The champion and Runner up of the previous year shall be allowed to play directly in final Zone.

fur \ \,,^N/ D7,,)d.s) 7. The champion and Runner up of the previous year shall be allowed to play directly in final Zone. OUL O GR SODRY DUTO, ODS,RT,SMTUR,USWR.l ntuctin f cnuct f Kbi ( y/gil)tunent f 2L-Lg t. 2.. 4.. 6. Mtche hll be lye e K ule f ene f tie t tie Dutin f ech tch hll be - +0 (Rece)+ = M The ticint f ech Te

More information

() t. () t r () t or v. ( t) () () ( ) = ( ) or ( ) () () () t or dv () () Section 10.4 Motion in Space: Velocity and Acceleration

() t. () t r () t or v. ( t) () () ( ) = ( ) or ( ) () () () t or dv () () Section 10.4 Motion in Space: Velocity and Acceleration Secion 1.4 Moion in Spce: Velociy nd Acceleion We e going o dive lile deepe ino somehing we ve ledy inoduced, nmely () nd (). Discuss wih you neighbo he elionships beween posiion, velociy nd cceleion you

More information

16.512, Rocket Propulsion Prof. Manuel Martinez-Sanchez Lecture 3: Ideal Nozzle Fluid Mechanics

16.512, Rocket Propulsion Prof. Manuel Martinez-Sanchez Lecture 3: Ideal Nozzle Fluid Mechanics 6.5, Rok ropulsion rof. nul rinz-snhz Lur 3: Idl Nozzl luid hnis Idl Nozzl low wih No Sprion (-D) - Qusi -D (slndr) pproximion - Idl gs ssumd ( ) mu + Opimum xpnsion: - or lss, >, ould driv mor forwrd

More information