Title: Long-Term Fiscal Indicators: Sustainability versus Terminal Debt Constraints. 1

Size: px
Start display at page:

Download "Title: Long-Term Fiscal Indicators: Sustainability versus Terminal Debt Constraints. 1"

Transcription

1 Workng Par no.: 14/2005 l: Long-rm Fcal Indcaor: uanably vru rmnal Db Conran. 1 Auhor: Nl Kl Frdrkn nkf@fm.dk Abrac: h ar rovd an amn of h concual and quanav dffrnc bwn hr alrnav way of drvng long-rm ndcaor of fcal anc, wo of whch nvolv runcaon of h m horzon whl h hrd on bad on h govrnmn nrmoral conran only and hu nvolv an ffcly nfn horzon. I urn ou ha, for h OECD counr, h wo fn-horzon alrnav nd o mly oo ll fcal conoldaon comard o wha rqurd for ru fcal uanably. In ohr word, h moon of a fxd horzon ycally lad o an xcvly omc cur of currn fcal anc and may furhrmor comlca cro-counry comaron. 1 h vw and analy rnd n h workng ar ar h ol ronbly of h auhor. h ar may hrfor nclud vw, whch ar no ncarly hard by h Mnry of Fnanc.

2 2 1. Alrnav aroach o long-rm fcal arg 2 In h lraur and among raconr a numbr of alrnav way of drvng forward-lookng conran on currn fcal olcy hav bn rood. h ky roblm ha h varou conrbuon k o ovrcom how o dal wh h nfn horzon of h govrnmn' nrmoral budg conran. h dffrnc hu rla o h chncal aumon ha ar nvokd n ordr o drv an ndx of fcal anc n a long-rm rcv ha lnd lf o numrcal alcaon. h uro of h ar o clarfy and xamn h naur of h dffrnc and a how hy nflunc h quanav amn of fcal uanably. o h ag, condr h connuou m quaon of moon for govrnmn db, 1 b b whr h m rmary urlu, b govrnmn db, whl dno h nomnal ra of nr and h growh ra of nomnal GDP. W aum ha h ra of growh and nr rman conan hrough m. W wh o drv and comar arora xron for h rqurd rmary urlu a m <. Ingraon of boh d of quaon 1 from o roduc 2 b b Rarrangng rm, and lng go o nfny, hn yld d 3 d b lm { b } By mong h aumon ha h lm rm qual o zro, w oban from quaon 3 h famlar nrmoral olvncy condon mlyng ha h n rn valu of fuur rmary urlu and hnc h xc of ax rc ovr non-nr govrnmn ndng mu qual nal n ublc db b. Ung quaon 2 and 3 w now condr h rqurd rmary urlu a m gvn hr dffrn way of rndrng h amn of fcal anc comuaonally fabl. In h fr wo aroach, a fn horzon mod hrough h rqurmn ha rmnal govrnmn db,.. b, b qual o om r-cfd valu. W fr condr h andard aroach buldng on h rqurmn ha rmnal db b b qual o nal db b. W call h h Unchangd rmnal Db, or UD, rul. Nx, w xamn wha 2 E-mal: nkf@fm.dk, hon drc: Commn and uggon from Hkk Okann ar grafully acknowldgd.

3 3 han whn h rmnal db lvl oband by aumng ha, n h rod from o, govrnmn budg balanc hold on avrag. h aumon rmd h Clo o Balanc, or CB, rul. Fnally, w condr h conqunc of ranng h nfn horzon whl mong conran on h m ah of h rmary urlu n ordr o uor comuaonal fably. On way of dong h o aum ha, from rod onward, h rmary urlu conan and qual o valu n rod. An alrnav way, whch w wll u blow, o mo a arcular funconal form on h m ah of h rmary urlu. cfcally, f w nvok h aumon of an xonnal adjumn ah, h ngral on h lf-hand d of quaon 3 may b olvd analycally. W call h aroach h uanably, or, rul. Ung h hr alrnav w oban h followng xron for h rqurd rmary urlu a m : Unchangd rmnal db UD [Blanchard. al 1990] ng rmnal db qual o nal db n quaon 2 and olvng ou yld 4 UD b 1 d Clo o balanc rul CB [EPC and EU Common 2003] In h ca, rmnal db b qual o nal db b dvdd by h comound nomnal ncom growh facor from rod o. Inrng n quaon 2 and rarrangng gv 5 CB 1 1 b 1 d uanably [Frdrkn 2001a,b] h aroach buld on h rqurmn ha ax ra and r caa govrnmn ndng.., h fcal nrumn ar manand ndfnly. In h ca, fcal olcy uanabl bcau no fuur chang n fcal nrumn ar rqurd. Ung quaon 3 w hu fnd 6 b d Noc how quaon 6 a ha h m rqurd rmary urlu qual o h annuy valu of oal govrnmn.., xlc lu mlc db, whr mlc db dfnd a h rn valu of h fuur chang n n govrnmn ndng mbodd n currn ax and xndur olc. 3 Comaron of h hr alrnav aroach 3 ha, mlc db rlad o h addonal fuur n govrnmn ndng gnrad by h currn ng of fcal olcy nrumn. Alrnavly, on mgh dfn mlc db a h rn valu of h oal n labl of h govrnmn v-à-v currnly lvng gnraon, bu uch a dfnon narora gvn h, nally, nfn horzon macro- aroach adod n h ar and h focu on h ncary adjumn of fcal olcy a m n ordr o afy h rlvan rmnal conran on govrnmn db or, undr h aroach, govrnmn olvncy.

4 4 h rmandr of h ar dvod o an amn of h concual a wll a quanav dffrnc bwn h maur of fcal anc drvd abov. A wll bcom vdn, h rul o cran ky characrc ha mak an aracv bnchmark agan whch o a h ba caud by mong a fn horzon undr h UD and CB rul. Clarly, a quaon 4 hrough 6 rval, whn go o nfny, h UD and CB rul convrg o h rul. Hnc, n h n hy ar dncal n h lm. Bu ha lm may b o dan ha h jufcaon for ung hr alrnav o h rul unfoundd. Blow, w rovd ma of h quanav xn of h aroxmaon rror. Bfor dong o, howvr, uful o focu on cran concual dffrnc bwn h UD, CB and aroach n rm of h way fcal olcy xlcly or mlcly aumd o volv ovr m. Undr h aroach, nal fcal nrumn ng may b manand ndfnly. Hnc, no chang n ax ra or xndur andard, vn n h xrmly dan fuur, ar ncary. In conra, quaon 4 and 5 how ha rn valu budg balanc hold only u unl h rmnal rod undr h UD and CB mhod. Accordngly, bcau h voluon of h rmary urlu afr h rmnal rod ffcvly gnord, oonr or lar fcal olcy wll hav o b adjud n ordr o nur ha h nrmoral budg conran of h govrnmn afd. Furhrmor, whl h UD mhod calcula h adjumn of fcal olcy ha mu b undrakn mmdaly a m and manand unl m, rc adhrnc o h CB rul would mly gradual chang n fcal olcy n ordr o manan budg balanc. Howvr, h magnud of h fcal ndcaor n quaon 5 ffcvly aum a on-off adjumn ha carrd ou a m and manand unl m. Accordngly, h oraonal conn of h CB rul n rm of h mld olcy rcron rman omwha unclar. A mhazd abov, h conc of uanably undr h rul drcly rlad o fcal olcy nrumn. In conra o h UD and CB rul, and bcau of h nfn horzon, h aroach by conrucon rqur no ubqun chang n fcal olcy. A uful way of rang h rory o no ha undr a fcal olcy afyng quaon 6, h dcronary comonn a dnguhd from h auonomou comonn.., h chang n h rmary urlu du o agng and ohr facor rman conan ovr m. h dcronary comonn mly qual o h nal, rqurd rmary urlu n quaon 6. h aroach hu ml ha oal govrnmn n db rvc conan and qual o h annuy valu of govrnmn n labl a h ou. h mrror mag of h rul ha undr a uanabl fcal olcy, oal govrnmn db lkw rman conan ovr m. 4 In h ycal agng cnaro, h rmary balanc dcln gradually durng h ranon. hrfor, undr a fcal olcy afyng h rul, xlc govrnmn db rducd n ordr o off h ncra n mlc govrnmn db ha occur a h aag of m convr h fuur labl mbodd n currn ax ra and xndur andard no currn labl wh corrondngly hghr n rn valu. 4 h rory ond ou by Bur rcly akng, conancy of oal db hold only whn h growhadjud ra of rurn conan.

5 5 No mlarly aracv nrraon of h voluon of govrnmn db al undr h UD and CB aroach. And, a nod abov, h dcronary comonn of h rmary urlu wll oonr or lar hav o adju n ordr o m h govrnmn olvncy conran. In h fnal ar of h ar, w rn quanav ma of h magnud of h rqurd addonal chang n dcronary fcal olcy. In ordr o quanfy h ba mld by h UD aroach, condr h amoun by whch h uanabl rmary urlu xcd UD, UD d d 1 7 A ov valu of h xron on h rgh-hand d of quaon 7 ndca ha h rmary urlu gvn by h UD mhod fall hor of wha rqurd for fcal uanably. h horfall, n urn, rflc h fac ha, by gnorng mlc db afr m, h UD aroach undrma h fcal burdn of agng. On h ohr hand, h fn horzon aumon gv oo much wgh o mlc db oblgaon n h nrm rod,.. from o. mlarly, h ba undr h CB rul may b xrd a { } UD CB b 1 8 h CB ba accordngly qual o UD ba lu a rm caurng h mor rngn fcal conoldaon rulng from forcng h db-o-gdp rao o dcln along wh nomnal ncom growh. Equaon 7 and 8 nclud nfn ngral ha w can olv by mong h xonnal adjumn aumon mloyd n Frdrkn 2001b. W hu dcomo mlc db no h comonn rlad o h rod u unl m d λ λ whr h long-rm droraon of h rmary urlu and λ dno h xonnal d of adjumn. mlarly, w fnd for h rod afr d λ λ 10

6 6 Inrng 9 and 10 n quaon 7 and 8, and mlfyng h rulng xron, yld 11 and 12 UD CB 1 λ λ λ λ b Equaon 11 and 12 may b ud o comu h ba mld by h UD and CB aroach by mly nrng arora valu for nal govrnmn db, h long-rm budg mac of agng c., and h nomnal ra of nr and ncom growh, a wll a h d of adjumn of h rmary urlu. Blow w do h for 19 OECD counr ung h aumon and daa of Frdrkn 2001b, bu bfor rocdng nrucv o condr om gnral ror of h aroxmaon rror and how hy rla o h concual dffrnc bwn h hr aroach. Fr, h UD ba alway ov a long a h rmary balanc drora n h long run. ha, h rmary urlu rqurd o afy h condon ha rmnal db qual o nal db wll lad o an undrmaon of fcal uanably. Prha omwha urrngly, h UD ba ndndn of nal govrnmn db d h fac ha h rmnal conran al drcly o h ock of formal govrnmn db oblgaon. In h n, h ramn of xlc govrnmn db quvaln undr h and UD aroach. h raon rlad o h conancy of oal govrnmn db undr a uanabl fcal olcy ond ou abov. Hnc, abn auonomou chang n h rmary urlu, h aroach wll dca conan govrnmn db and, hnc, a conan rmary urlu. h db ah mld by h mhod accordngly dncal o h ah ha mod whn h UD mhod ud. Inal xlc db hrfor do no gv r o any ba n h ca. h CB ba qual o UD ba bcau h horzon, and hnc h way fuur chang n h rmary urlu ar dal wh, runcad n h am way lu a rm rrnng ovrmaon of h burdn of nal govrnmn db. Accordngly, dndng on h comoon of oal govrnmn db, h clo-o-balanc rul may hr ovr- or undrma h rqurd ra of fcal conoldaon. On moran roblm wh h CB aroach hn ha dca xcv fcal conoldaon for counr wh hgh formal db nally, bu ll mlc db. Avalabl long-rm rojcon of h fcal mac of agng ycally covr h rod unl Aumng ha h nomnal nr ra 6 r cn, ha aggrga nomnal ncom grow a a ra of 4 r cn, and ha h annual d of adjumn of h rmary urlu qual 6 r cn, quaon 11 and 12 hn mly ha h ba arbuabl o mlc db amoun o 0,14 r cn of GDP for ach 1 rcnag on of GDP long-rm dcln n n ax rc. Accordngly, for a counry facng a 5 r cn of GDP ady-a agng burdn, h rqurd ra of fcal conoldaon hu undrmad by 0,7 r cn of GDP whn h UD aroach ud.

7 7 h ba du o nal govrnmn db arng undr h CB aroach qual 0,01 mulld by nal govrnmn fnancal n db. Ung h CB aroach, h rqurd ra of fcal conoldaon hrfor bad uward by ½ r cn of GDP whn nal govrnmn db qual 50 rcn. abl 1 blow how h wo ba for 19 OECD counr. A alrady nod, runcang h horzon ml ha govrnmn mlc db rlad o h rod afr 2050 gnord. A h fr hr column rval, h ffcvly amoun o undrmang govrnmn mlc db by abou onhalf. For h avrag OECD conomy, h ranla no an undrmaon of h rqurd ra of fcal conoldaon qual o 0,69 r cn of GDP whn h UD aroach ud, bu n a numbr of ca Canada, Fnland, Grc, Norway and an h ba xcd 1 r cn of GDP. abl 1. Ba Undr rmnal Db Conran n 2050 Rlav o Fcal uanably. Pr Cn of GDP n Govrnmn db Ba du o Ba oal ba Imlc db mlc db du o Exlc oal UD 2 CB 3 oa xlc o > db db o > oal rul rul l db Aurala , 32 2,14 0,81-0,05 0,81 0,76 Aura ,19 1,92 0,73-0,51 0,73 0,23 Blgum ,24 2,01 0,76-0,99 0,76-0,22 Canada ,25 3,64 1,39-0,44 1,39 0,95 Dnmark ,93 1,50 0,57-0,23 0,57 0,34 Fnland ,70 2,74 1,04 0,42 1,04 1,46 Franc ,16 1,87 0,71-0,38 0,71 0,33 Grmany ,94 1,52 0,58-0,45 0,58 0,13 Grc ,94 4,74 1,80-1,08 1,80 0,73 Irland ,56 2,52 0,96-0,37 0,96 0,59 Ialy ,32 0,51 0,19-0,98 0,19-0,79 Jaan ,47 0,75 0,29-0,59 0,29-0,30 Nhrland ,52 2,46 0,93-0,42 0,93 0,52 Norway ,39 8,70 3,31 0,74 3,31 4,05 Porugal ,07 1,72 0,65-0,56 0,65 0,10 an ,87 3,03 1,15-0,42 1,15 0,73 wdn ,10 1,77 0,67 0,01 0,67 0,68 Und Kngdom ,45 0,73 0,28-0,29 0,28-0,02 Und a ,34 2,16 0,82-0,43 0,82 0,39 Unwd. avrag ,51 2,44 0,93-0,37 0,93 0,56 GPD-wd. avg ,12 1,81 0,69-0,47 0,69 0,22 GPD-wd. EU avg ,98 1,58 0,60-0,50 0,60 0,10 GPD-wd. EMU avg ,08 1,74 0,66-0,56 0,66 0,10 N 1 h rul ar bad on h am bac aumon and ourc a Frdrkn 2001b xc for nal o govrnmn n db whch from OECD Economc Ou look no. 72, Dcmbr h nomnal ra of : nr and growh ar 6 and 4 r cn, r cvly, w hl h xonnal adjumn d u d o co mu mlc db oblgaon 6 r cn. 2 Unchangd rmnal Db,.. govrnmn fnancal n db n 2050 conrand o b qual o govrnmn fnancal n db n Clo o Balanc;.. h rao of govrnmn fnancal n db o GDP conrand o dcln wh nomnal ncom growh from 2002 o 2050.

8 8 A quaon 6 dmonra, h uanabl rmary urlu qual o h growh-adjud nr ra m oal govrnmn db. Wh h formr qual o 2 r cn and h lar a 2,3 m GDP on avrag for h 19 counr covrd n h abl, fcal uanably nca a rmary urlu of 4,7 r cn of GDP n h nal yar. Ung h aumon of unchangd rmnal db hn lad o an undrmaon of h rqurd rmary urlu by abou on-vnh. h CB mhod ml lowr ba on avrag bcau h wo ourc of rror nd o off ach ohr. For h avrag OECD counry, h CB ba abou 0,2 r cn of GDP. Hnc, whl h CB aroach alo nd o undrma h fcal challng facd by OECD govrnmn, h magnud omwha mallr. h abl alo llura how h CB ba may b hr ov or ngav dndng on h comoon of oal govrnmn db. For xaml, h Duch and Blgan govrnmn fac roughly dncal oal db burdn of aroxmaly 3 m GDP. Howvr, xlc db much hghr n Blgum, whra h agng burdn mor vr n h Nhrland. Alyng h CB mhod hn lad o an undrmaon of h rqurd rmary urlu n h Nhrland by abou 0,5 r cn of GDP, whl for Blgum ovrmad by 0,2 r cn GDP. On cular ac of h CB aroach ha counr wh ov nal n fnancal a ar ffcvly aumd o lquda ho a, n urn mlyng an addonal ourc of undrmaon of h rqurd ra of fcal conoldaon. h h ca for Fnland, Norway and wdn. hu, for Fnland, h horfall undr h CB mhod amoun o 1½ r cn of GDP comard o a olcy of ru fcal uanably. h xaml hu ndca ha h wo analycal hor-cu nvolvng runcaon of h m horzon nd o comlca h cro-counry comaron of fcal anc. A mnond rvouly, h ba arbuabl o runcaon dcln whn h horzon xndd. abl 2 how h conqunc of varyng h rmnal yar bwn 2025 and abl 2. m Horzon and Avrag Ba Undr rmnal Db Conran Rul. Pr Cn of GDP n 2002 Ba: Horzon rmnal yar of UD and CB rul Imlc db 1,4 9 0,69 0,19 0,07 0,02 - Exlc db 0,9-0,47-0,14-0,05-0,02 1 UD rul 1,4 9 0,69 0,19 0,07 0, 02 CB rul man 0,5 8 0,22 0,05 0,02 0,01 CB rul man abolu 0,9 3 0,42 0,12 0,04 0,01

9 9 Alo hown h avrag abolu ba undr h CB rul. Comaron of h man and man abolu ba rval ha abou half of h rducon n avrag ba rla v o h UD aroach d u o h fac ha h gn of h CB ba may b hr ov or ngav. h avrag abolu rror whn h CB mhod ud hu qual 0,4 r cn of GDP a a 50-yar horzon. h abl alo how ha a vry long horzon mu b mloyd n ordr for h ba o aum ngnfcan rooron. In ohr word, h UD and CB aroach rovd a rlabl amn of fcal uanably only a horzon of 150 yar or mor. h oucom h drc rul of h fac ha, a alrady nod, a vry ubanal oron of govrnmn mlc db rlad o h rod afr Concluon h ar rovd an amn of h concual and quanav dffrnc bwn hr alrnav way of drvng long-rm ndcaor of fcal anc. h concually mo aalng on fcal uanably, whr an nfn horzon manand and h uanably conran mod drcly and, n conra o h u of nally arbrary rmnal valu for govrnmn db, only on fcal nrumn. W u ha aroach a a bnchmark and comar wh wo alrnav on whr h m horzon runcad, hrby mlyng ha rmnal valu for govrnmn db n fn m ar ndd n ordr o rndr h quanav amn of fcal uanably comuaonally fabl. Whn h ycal m fram of long-rm fcal rojcon,.. abou 50 yar, rqurng rmnal govrnmn db o qual nal db hown o undrma h rqurd rmary urlu n h OECD counr by abou 0,7 r cn of GDP on avrag. And h m horzon of h rojcon would hav o b xndd gnfcanly o mor han 150 yar n ordr o rduc h ba o a rval magnud. An alrnav, fn horzon mhod bad on h conran ha rmnal govrnmn db qual nal db dlud by nomnal ncom growh. Gvn h rqurmn avrag ba rducd o abou 0,2 r cn of GDP. Howvr, cro-counry comarably hamrd by h fac ha h comoon of oal govrnmn db.., h l bwn xlc and mlc labl affc boh h gn and h magnud of h aroxmaon rror. W may hrfor conclud ha, for h OECD counr, h wo fn-horzon alrnav nd o mly oo ll fcal conoldaon comard o wha rqurd for ru fcal uanably. ha, a a by-roduc, h chncally movad moon of a fxd horzon ycally lad o an xcvly omc cur of currn fcal anc.

10 10 Rfrnc Blanchard, Olvr, Jan-Claud Chouraqu, Robr P. Hagmann and Ncola aror, h uanably of Fcal Polcy: Nw Anwr o an Old Quon, OECD Economc ud 15, Bur, Wllm H., A Gud o Publc cor Db and Dfc, Economc Polcy, Novmbr Euroan Common, Ovrvw of h 2002 uda of h ably and Convrgnc Pro gramm, ECFIN/045/03-EN, Fbruary Frdrkn, Nl Kl, Fcal uanably and ax moohng: A Prlmnary Analy of h Ca of Dnmark, n Balaon, Fabrzo and Danl Franco d.: Fcal uanably, Banca d'iala, 2001a. Frdrkn, Nl Kl, Fcal uanably n h OECD: A ml Mhod and om Prlmnary Rul, Workng Par 3/2001, Mnry of Fnanc, Arl 2001b. h://

Frequency Response. Response of an LTI System to Eigenfunction

Frequency Response. Response of an LTI System to Eigenfunction Frquncy Rsons Las m w Rvsd formal dfnons of lnary and m-nvaranc Found an gnfuncon for lnar m-nvaran sysms Found h frquncy rsons of a lnar sysm o gnfuncon nu Found h frquncy rsons for cascad, fdbac, dffrnc

More information

Chapter 7 Stead St y- ate Errors

Chapter 7 Stead St y- ate Errors Char 7 Say-Sa rror Inroucon Conrol ym analy an gn cfcaon a. rann ron b. Sably c. Say-a rror fnon of ay-a rror : u c a whr u : nu, c: ouu Val only for abl ym chck ym ably fr! nu for ay-a a nu analy U o

More information

Consider a system of 2 simultaneous first order linear equations

Consider a system of 2 simultaneous first order linear equations Soluon of sysms of frs ordr lnar quaons onsdr a sysm of smulanous frs ordr lnar quaons a b c d I has h alrna mar-vcor rprsnaon a b c d Or, n shorhand A, f A s alrady known from con W know ha h abov sysm

More information

10.5 Linear Viscoelasticity and the Laplace Transform

10.5 Linear Viscoelasticity and the Laplace Transform Scn.5.5 Lnar Vclacy and h Lalac ranfrm h Lalac ranfrm vry uful n cnrucng and analyng lnar vclac mdl..5. h Lalac ranfrm h frmula fr h Lalac ranfrm f h drvav f a funcn : L f f L f f f f f c..5. whr h ranfrm

More information

Problem 1: Consider the following stationary data generation process for a random variable y t. e t ~ N(0,1) i.i.d.

Problem 1: Consider the following stationary data generation process for a random variable y t. e t ~ N(0,1) i.i.d. A/CN C m Sr Anal Profor Òcar Jordà Wnr conomc.c. Dav POBLM S SOLIONS Par I Analcal Quon Problm : Condr h followng aonar daa gnraon proc for a random varabl - N..d. wh < and N -. a Oban h populaon man varanc

More information

Summary: Solving a Homogeneous System of Two Linear First Order Equations in Two Unknowns

Summary: Solving a Homogeneous System of Two Linear First Order Equations in Two Unknowns Summary: Solvng a Homognous Sysm of Two Lnar Frs Ordr Equaons n Two Unknowns Gvn: A Frs fnd h wo gnvalus, r, and hr rspcv corrspondng gnvcors, k, of h coffcn mar A Dpndng on h gnvalus and gnvcors, h gnral

More information

CIVL 8/ D Boundary Value Problems - Triangular Elements (T6) 1/8

CIVL 8/ D Boundary Value Problems - Triangular Elements (T6) 1/8 CIVL 8/7 -D Boundar Valu Problm - rangular Elmn () /8 SI-ODE RIAGULAR ELEMES () A quadracall nrpolad rangular lmn dfnd b nod, hr a h vrc and hr a h mddl a ach d. h mddl nod, dpndng on locaon, ma dfn a

More information

Conventional Hot-Wire Anemometer

Conventional Hot-Wire Anemometer Convnonal Ho-Wr Anmomr cro Ho Wr Avanag much mallr prob z mm o µm br paal roluon array o h nor hghr rquncy rpon lowr co prormanc/co abrcaon roc I µm lghly op p layr 8µm havly boron op ch op layr abrcaon

More information

Chapter 13 Laplace Transform Analysis

Chapter 13 Laplace Transform Analysis Chapr aplac Tranorm naly Chapr : Ouln aplac ranorm aplac Tranorm -doman phaor analy: x X σ m co ω φ x X X m φ x aplac ranorm: [ o ] d o d < aplac Tranorm Thr condon Unlaral on-dd aplac ranorm: aplac ranorm

More information

14.02 Principles of Macroeconomics Fall 2005 Quiz 3 Solutions

14.02 Principles of Macroeconomics Fall 2005 Quiz 3 Solutions 4.0 rincipl of Macroconomic Fall 005 Quiz 3 Soluion Shor Quion (30/00 poin la a whhr h following amn ar TRUE or FALSE wih a hor xplanaion (3 or 4 lin. Each quion coun 5/00 poin.. An incra in ax oday alway

More information

Advanced Queueing Theory. M/G/1 Queueing Systems

Advanced Queueing Theory. M/G/1 Queueing Systems Advand Quung Thory Ths slds ar rad by Dr. Yh Huang of Gorg Mason Unvrsy. Sudns rgsrd n Dr. Huang's ourss a GMU an ma a sngl mahn-radabl opy and prn a sngl opy of ah sld for hr own rfrn, so long as ah sld

More information

Lecture 4 : Backpropagation Algorithm. Prof. Seul Jung ( Intelligent Systems and Emotional Engineering Laboratory) Chungnam National University

Lecture 4 : Backpropagation Algorithm. Prof. Seul Jung ( Intelligent Systems and Emotional Engineering Laboratory) Chungnam National University Lcur 4 : Bacpropagaon Algorhm Pro. Sul Jung Inllgn Sm and moonal ngnrng Laboraor Chungnam Naonal Unvr Inroducon o Bacpropagaon algorhm 969 Mn and Papr aac. 980 Parr and Wrbo dcovrd bac propagaon algorhm.

More information

9. Simple Rules for Monetary Policy

9. Simple Rules for Monetary Policy 9. Smpl Ruls for Monar Polc John B. Talor, Ma 0, 03 Woodford, AR 00 ovrvw papr Purpos s o consdr o wha xn hs prscrpon rsmbls h sor of polc ha conomc hor would rcommnd Bu frs, l s rvw how hs sor of polc

More information

Engineering Circuit Analysis 8th Edition Chapter Nine Exercise Solutions

Engineering Circuit Analysis 8th Edition Chapter Nine Exercise Solutions Engnrng rcu naly 8h Eon hapr Nn Exrc Soluon. = KΩ, = µf, an uch ha h crcu rpon oramp. a For Sourc-fr paralll crcu: For oramp or b H 9V, V / hoo = H.7.8 ra / 5..7..9 9V 9..9..9 5.75,.5 5.75.5..9 . = nh,

More information

Valuation and Analysis of Basket Credit Linked Notes with Issuer Default Risk

Valuation and Analysis of Basket Credit Linked Notes with Issuer Default Risk Valuaon and Analy of Ba Crd Lnd o wh ur Dfaul R Po-Chng Wu * * Dparmn of Banng and Fnanc Kanan Unvry Addr: o. Kanan Rd. Luchu Shang aoyuan 33857 awan R.O.C. E-mal: pcwu@mal.nu.du.w l.: 886-3-34500 x. 67

More information

Supplementary Figure 1. Experiment and simulation with finite qudit. anharmonicity. (a), Experimental data taken after a 60 ns three-tone pulse.

Supplementary Figure 1. Experiment and simulation with finite qudit. anharmonicity. (a), Experimental data taken after a 60 ns three-tone pulse. Supplmnar Fgur. Eprmn and smulaon wh fn qud anharmonc. a, Eprmnal daa akn afr a 6 ns hr-on puls. b, Smulaon usng h amlonan. Supplmnar Fgur. Phagoran dnamcs n h m doman. a, Eprmnal daa. Th hr-on puls s

More information

Wave Superposition Principle

Wave Superposition Principle Physcs 36: Was Lcur 5 /7/8 Wa Suroson Prncl I s qu a common suaon for wo or mor was o arr a h sam on n sac or o xs oghr along h sam drcon. W wll consdr oday sral moran cass of h combnd ffcs of wo or mor

More information

t=0 t>0: + vr - i dvc Continuation

t=0 t>0: + vr - i dvc Continuation hapr Ga Dlay and rcus onnuaon s rcu Equaon >: S S Ths dffrnal quaon, oghr wh h nal condon, fully spcfs bhaor of crcu afr swch closs Our n challng: larn how o sol such quaons TUE/EE 57 nwrk analys 4/5 NdM

More information

Final Exam : Solutions

Final Exam : Solutions Comp : Algorihm and Daa Srucur Final Exam : Soluion. Rcuriv Algorihm. (a) To bgin ind h mdian o {x, x,... x n }. Sinc vry numbr xcp on in h inrval [0, n] appar xacly onc in h li, w hav ha h mdian mu b

More information

The Variance-Covariance Matrix

The Variance-Covariance Matrix Th Varanc-Covaranc Marx Our bggs a so-ar has bn ng a lnar uncon o a s o daa by mnmzng h las squars drncs rom h o h daa wh mnsarch. Whn analyzng non-lnar daa you hav o us a program l Malab as many yps o

More information

innovations shocks white noise

innovations shocks white noise Innovaons Tm-srs modls ar consrucd as lnar funcons of fundamnal forcasng rrors, also calld nnovaons or shocks Ths basc buldng blocks sasf var σ Srall uncorrlad Ths rrors ar calld wh nos In gnral, f ou

More information

Chapter 9 Transient Response

Chapter 9 Transient Response har 9 Transn sons har 9: Ouln N F n F Frs-Ordr Transns Frs-Ordr rcus Frs ordr crcus: rcus conan onl on nducor or on caacor gornd b frs-ordr dffrnal quaons. Zro-nu rsons: h crcu has no ald sourc afr a cran

More information

Aperiodic and Sporadic Jobs. Scheduling Aperiodic and Sporadic Jobs

Aperiodic and Sporadic Jobs. Scheduling Aperiodic and Sporadic Jobs CPSC-663: Ral-Tm Sym Arodc and Soradc Job Schdulng Arodc and Soradc Job Dfnon Comaron o radonal chdulng of aynchronou vn Pollng Srvr Dfrrabl Srvr Soradc Srvr Gnralzd Procor Sharng Conan Ulzaon Srvr Toal

More information

(,,, ) (,,, ). In addition, there are three other consumers, -2, -1, and 0. Consumer -2 has the utility function

(,,, ) (,,, ). In addition, there are three other consumers, -2, -1, and 0. Consumer -2 has the utility function MACROECONOMIC THEORY T J KEHOE ECON 87 SPRING 5 PROBLEM SET # Conder an overlappng generaon economy le ha n queon 5 on problem e n whch conumer lve for perod The uly funcon of he conumer born n perod,

More information

Economics 302 (Sec. 001) Intermediate Macroeconomic Theory and Policy (Spring 2011) 3/28/2012. UW Madison

Economics 302 (Sec. 001) Intermediate Macroeconomic Theory and Policy (Spring 2011) 3/28/2012. UW Madison Economics 302 (Sc. 001) Inrmdia Macroconomic Thory and Policy (Spring 2011) 3/28/2012 Insrucor: Prof. Mnzi Chinn Insrucor: Prof. Mnzi Chinn UW Madison 16 1 Consumpion Th Vry Forsighd dconsumr A vry forsighd

More information

Theoretical Seismology

Theoretical Seismology Thorcal Ssmology Lcur 9 Sgnal Procssng Fourr analyss Fourr sudd a h Écol Normal n Pars, augh by Lagrang, who Fourr dscrbd as h frs among Europan mn of scnc, Laplac, who Fourr rad lss hghly, and by Mong.

More information

8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system

8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system 8. Quug sysms Cos 8. Quug sysms Rfrshr: Sml lraffc modl Quug dscl M/M/ srvr wag lacs Alcao o ack lvl modllg of daa raffc M/M/ srvrs wag lacs lc8. S-38.45 Iroduco o Tlraffc Thory Srg 5 8. Quug sysms 8.

More information

Some Transcendental Elements in Positive Characteristic

Some Transcendental Elements in Positive Characteristic R ESERCH RTICE Scnca 6 ( : 39-48 So Trancndna En n Pov Characrc Vchan aohaoo Kanna Kongaorn and Pachara Ubor Darn of ahac Kaar Unvry Bango 9 Thaand Rcvd S 999 ccd 7 Nov 999 BSTRCT Fv rancndna n n funcon

More information

Institute of Actuaries of India

Institute of Actuaries of India Insiu of Acuaris of India ubjc CT3 Probabiliy and Mahmaical aisics Novmbr Examinaions INDICATIVE OLUTION Pag of IAI CT3 Novmbr ol. a sampl man = 35 sampl sandard dviaion = 36.6 b for = uppr bound = 35+*36.6

More information

Valuation of a Basket Loan Credit Default Swap

Valuation of a Basket Loan Credit Default Swap wwwcuca/jfr Inrnaonal Journal of Fnancal Rarch Vol No ; Dcmbr Valuaon of a Bak Loan Cr Dfaul Swa Jn Lang (Corronng auhor) Darmn of Mahmac ongj Unvry Shangha 9 PRChna l: +86--6598-34 x 6 E-mal: lang_jn@ongjucn

More information

Neutron electric dipole moment on the lattice

Neutron electric dipole moment on the lattice ron lcrc dol on on h lac go Shnan Unv. of Tkba 3/6/006 ron lcrc dol on fro lac QCD Inrodcon arar Boh h ha of CKM arx and QCD vac ffc conrb o CP volaon P and T volaon arar. CP odd QCD 4 L arg d CKM f f

More information

PFC Predictive Functional Control

PFC Predictive Functional Control PFC Prdiciv Funcional Conrol Prof. Car d Prada D. of Sm Enginring and Auomaic Conrol Univri of Valladolid, Sain rada@auom.uva. Oulin A iml a oibl Moivaion PFC main ida An inroducor xaml Moivaion Prdiciv

More information

SIMEON BALL AND AART BLOKHUIS

SIMEON BALL AND AART BLOKHUIS A BOUND FOR THE MAXIMUM WEIGHT OF A LINEAR CODE SIMEON BALL AND AART BLOKHUIS Absrac. I s shown ha h paramrs of a lnar cod ovr F q of lngh n, dmnson k, mnmum wgh d and maxmum wgh m sasfy a cran congrunc

More information

NDC Dynamic Equilibrium model with financial and

NDC Dynamic Equilibrium model with financial and 9 July 009 NDC Dynamc Equlbrum modl wh fnancal and dmograhc rsks rr DEVOLDER, Inmaculada DOMÍNGUEZ-FABIÁN, Aurél MILLER ABSTRACT Classcal socal scury nson schms, combnng a dfnd bnf hlosohy and a ay as

More information

CHAPTER CHAPTER14. Expectations: The Basic Tools. Prepared by: Fernando Quijano and Yvonn Quijano

CHAPTER CHAPTER14. Expectations: The Basic Tools. Prepared by: Fernando Quijano and Yvonn Quijano Expcaions: Th Basic Prpard by: Frnando Quijano and Yvonn Quijano CHAPTER CHAPTER14 2006 Prnic Hall Businss Publishing Macroconomics, 4/ Olivir Blanchard 14-1 Today s Lcur Chapr 14:Expcaions: Th Basic Th

More information

(heat loss divided by total enthalpy flux) is of the order of 8-16 times

(heat loss divided by total enthalpy flux) is of the order of 8-16 times 16.51, Rok Prolson Prof. Manl Marnz-Sanhz r 8: Convv Ha ransfr: Ohr Effs Ovrall Ha oss and Prforman Effs of Ha oss (1) Ovrall Ha oss h loal ha loss r n ara s q = ρ ( ) ngrad ha loss s a S, and sng m =

More information

2. The Laplace Transform

2. The Laplace Transform Th aac Tranorm Inroucion Th aac ranorm i a unamna an vry uu oo or uying many nginring robm To in h aac ranorm w conir a comx variab σ, whr σ i h ra ar an i h imaginary ar or ix vau o σ an w viw a a oin

More information

Poisson process Markov process

Poisson process Markov process E2200 Quuing hory and lraffic 2nd lcur oion proc Markov proc Vikoria Fodor KTH Laboraory for Communicaion nwork, School of Elcrical Enginring 1 Cour oulin Sochaic proc bhind quuing hory L2-L3 oion proc

More information

Homework: Introduction to Motion

Homework: Introduction to Motion Homwork: Inroducon o Moon Dsanc vs. Tm Graphs Nam Prod Drcons: Answr h foowng qusons n h spacs provdd. 1. Wha do you do o cra a horzona n on a dsancm graph? 2. How do you wak o cra a sragh n ha sops up?

More information

Vertical Sound Waves

Vertical Sound Waves Vral Sond Wavs On an drv h formla for hs avs by onsdrn drly h vral omonn of momnm qaon hrmodynam qaon and h onny qaon from 5 and hn follon h rrbaon mhod and assmn h snsodal solons. Effvly h frs ro and

More information

Boosting and Ensemble Methods

Boosting and Ensemble Methods Boosng and Ensmbl Mhods PAC Larnng modl Som dsrbuon D ovr doman X Eampls: c* s h arg funcon Goal: Wh hgh probably -d fnd h n H such ha rrorh,c* < d and ar arbrarly small. Inro o ML 2 Wak Larnng

More information

4.1 The Uniform Distribution Def n: A c.r.v. X has a continuous uniform distribution on [a, b] when its pdf is = 1 a x b

4.1 The Uniform Distribution Def n: A c.r.v. X has a continuous uniform distribution on [a, b] when its pdf is = 1 a x b 4. Th Uniform Disribuion Df n: A c.r.v. has a coninuous uniform disribuion on [a, b] whn is pdf is f x a x b b a Also, b + a b a µ E and V Ex4. Suppos, h lvl of unblivabiliy a any poin in a Transformrs

More information

Boyce/DiPrima 9 th ed, Ch 2.1: Linear Equations; Method of Integrating Factors

Boyce/DiPrima 9 th ed, Ch 2.1: Linear Equations; Method of Integrating Factors Boc/DiPrima 9 h d, Ch.: Linar Equaions; Mhod of Ingraing Facors Elmnar Diffrnial Equaions and Boundar Valu Problms, 9 h diion, b William E. Boc and Richard C. DiPrima, 009 b John Wil & Sons, Inc. A linar

More information

Economics 302 (Sec. 001) Intermediate Macroeconomic Theory and Policy (Spring 2011) 4/25/2011. UW Madison

Economics 302 (Sec. 001) Intermediate Macroeconomic Theory and Policy (Spring 2011) 4/25/2011. UW Madison conomics 302 (Sc. 001) Inrmdia Macroconomic Thory and Policy (Spring 2011) 4/25/2011 Insrucor: Prof. Mnzi Chinn Insrucor: Prof. Mnzi Chinn UW Madison 21 1 Th Mdium Run ε = P * P Thr ar wo ways in which

More information

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 )

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 ) AR() Procss Th firs-ordr auorgrssiv procss, AR() is whr is WN(0, σ ) Condiional Man and Varianc of AR() Condiional man: Condiional varianc: ) ( ) ( Ω Ω E E ) var( ) ) ( var( ) var( σ Ω Ω Ω Ω E Auocovarianc

More information

Midterm Examination (100 pts)

Midterm Examination (100 pts) Econ 509 Spring 2012 S.L. Parn Midrm Examinaion (100 ps) Par I. 30 poins 1. Dfin h Law of Diminishing Rurns (5 ps.) Incrasing on inpu, call i inpu x, holding all ohr inpus fixd, on vnuall runs ino h siuaion

More information

Forecasting Volatility of Dhaka Stock Exchange: Linear Vs Non-linear models

Forecasting Volatility of Dhaka Stock Exchange: Linear Vs Non-linear models Inrna. J. of Sc. and Eng., Vol. 3(:4-8, Ocobr 0, Maudul Ilam al. ISS: 086-503 Forcang Volaly of Dhaka Sock Exchang: Lnar V on-lnar modl Maudul Ilam #, Lakr Erhad Al *, ahda Afroz #3 # Sac Dcln, Khulna

More information

The Mathematics of Harmonic Oscillators

The Mathematics of Harmonic Oscillators Th Mhcs of Hronc Oscllors Spl Hronc Moon In h cs of on-nsonl spl hronc oon (SHM nvolvng sprng wh sprng consn n wh no frcon, you rv h quon of oon usng Nwon's scon lw: con wh gvs: 0 Ths s sos wrn usng h

More information

An N-Component Series Repairable System with Repairman Doing Other Work and Priority in Repair

An N-Component Series Repairable System with Repairman Doing Other Work and Priority in Repair Mor ppl Novmbr 8 N-Compo r Rparabl m h Rparma Dog Ohr ork a ror Rpar Jag Yag E-mal: jag_ag7@6om Xau Mg a uo hg ollag arb Normal Uvr Yaq ua Taoao ag uppor b h Fouao or h aural o b prov o Cha 5 uppor b h

More information

EE243 Advanced Electromagnetic Theory Lec # 10: Poynting s Theorem, Time- Harmonic EM Fields

EE243 Advanced Electromagnetic Theory Lec # 10: Poynting s Theorem, Time- Harmonic EM Fields Appl M Fall 6 Nuruhr Lcur # r 9/6/6 4 Avanc lcromagnc Thory Lc # : Poynng s Thorm Tm- armonc M Fls Poynng s Thorm Consrvaon o nrgy an momnum Poynng s Thorm or Lnar sprsv Ma Poynng s Thorm or Tm-armonc

More information

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables Improvd Epoal Emaor for Populao Varac Ug Two Aular Varabl Rajh gh Dparm of ac,baara Hdu Uvr(U.P., Ida (rgha@ahoo.com Pakaj Chauha ad rmala awa chool of ac, DAVV, Idor (M.P., Ida Flor maradach Dparm of

More information

Statistical Analysis of Environmental Data - Academic Year Prof. Fernando Sansò

Statistical Analysis of Environmental Data - Academic Year Prof. Fernando Sansò Scl nly of nvronmnl D - cdmc r 8-9 Prof. Frnndo Snò XRISS - PR 5 bl of onn Inroducon... xrc (D mprcl covrnc m)...7 xrc (D mprcl covrnc m)... xrc 3 (D mprcl covrnc m)... xrc 4 (D mprcl covrnc m)...3 xrc

More information

Safety and Reliability of Embedded Systems. (Sicherheit und Zuverlässigkeit eingebetteter Systeme) Stochastic Reliability Analysis

Safety and Reliability of Embedded Systems. (Sicherheit und Zuverlässigkeit eingebetteter Systeme) Stochastic Reliability Analysis (Schrh und Zuvrlässgk ngbr Sysm) Sochasc Rlably Analyss Conn Dfnon of Rlably Hardwar- vs. Sofwar Rlably Tool Asssd Rlably Modlng Dscrpons of Falurs ovr Tm Rlably Modlng Exampls of Dsrbuon Funcons Th xponnal

More information

Safety and Reliability of Embedded Systems. (Sicherheit und Zuverlässigkeit eingebetteter Systeme) Stochastic Reliability Analysis

Safety and Reliability of Embedded Systems. (Sicherheit und Zuverlässigkeit eingebetteter Systeme) Stochastic Reliability Analysis Safy and Rlably of Embddd Sysms (Schrh und Zuvrlässgk ngbr Sysm) Sochasc Rlably Analyss Safy and Rlably of Embddd Sysms Conn Dfnon of Rlably Hardwar- vs. Sofwar Rlably Tool Asssd Rlably Modlng Dscrpons

More information

Charging of capacitor through inductor and resistor

Charging of capacitor through inductor and resistor cur 4&: R circui harging of capacior hrough inducor and rsisor us considr a capacior of capacianc is conncd o a D sourc of.m.f. E hrough a rsisr of rsisanc R, an inducor of inducanc and a y K in sris.

More information

Course 10 Shading. 1. Basic Concepts: Radiance: the light energy. Light Source:

Course 10 Shading. 1. Basic Concepts: Radiance: the light energy. Light Source: Cour 0 Shadg Cour 0 Shadg. Bac Coct: Lght Sourc: adac: th lght rg radatd from a ut ara of lght ourc or urfac a ut old agl. Sold agl: $ # r f lght ourc a ot ourc th ut ara omttd abov dfto. llumato: lght

More information

Time to Recruitment for a Single Grade Manpower System with Two Thresholds, Different Epochs for Inter-Decisions and Exits Having Correlated Wastages

Time to Recruitment for a Single Grade Manpower System with Two Thresholds, Different Epochs for Inter-Decisions and Exits Having Correlated Wastages IOR Jouna of Mahmac IOR-JM -IN: 78-578 -IN: 39-765X. Voum 3 Iu 4 V. III Ju. u. 7 PP 38-4 www.oouna.o m o Rcumn fo a n ad Manow m wh wo hhod Dffn och fo In-Dcon x Havn Coad Waa. Ravchan ;. nvaan an Pofo

More information

NAME: ANSWER KEY DATE: PERIOD. DIRECTIONS: MULTIPLE CHOICE. Choose the letter of the correct answer.

NAME: ANSWER KEY DATE: PERIOD. DIRECTIONS: MULTIPLE CHOICE. Choose the letter of the correct answer. R A T T L E R S S L U G S NAME: ANSWER KEY DATE: PERIOD PREAP PHYSICS REIEW TWO KINEMATICS / GRAPHING FORM A DIRECTIONS: MULTIPLE CHOICE. Chs h r f h rr answr. Us h fgur bw answr qusns 1 and 2. 0 10 20

More information

1. Inverse Matrix 4[(3 7) (02)] 1[(0 7) (3 2)] Recall that the inverse of A is equal to:

1. Inverse Matrix 4[(3 7) (02)] 1[(0 7) (3 2)] Recall that the inverse of A is equal to: Rfrncs Brnank, B. and I. Mihov (1998). Masuring monary policy, Quarrly Journal of Economics CXIII, 315-34. Blanchard, O. R. Proi (00). An mpirical characrizaion of h dynamic ffcs of changs in govrnmn spnding

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

Euler-Maruyama Approximation for Mean-Reverting Regime Switching CEV Process

Euler-Maruyama Approximation for Mean-Reverting Regime Switching CEV Process Inrnaonal Confrnc on Appld Mahmac, Smulaon and Modllng (AMSM 6 Eulr-Maruyama Appromaon for Man-vrng gm Swchng CE Proc ung u* and Dan Wu Dparmn of Mahmac, Chna Jlang Unvry, Hangzhou, Chna * Corrpondng auhor

More information

EXERCISE - 01 CHECK YOUR GRASP

EXERCISE - 01 CHECK YOUR GRASP DIFFERENTIAL EQUATION EXERCISE - CHECK YOUR GRASP 7. m hn D() m m, D () m m. hn givn D () m m D D D + m m m m m m + m m m m + ( m ) (m ) (m ) (m + ) m,, Hnc numbr of valus of mn will b. n ( ) + c sinc

More information

Lecture 18: The Laplace Transform (See Sections and 14.7 in Boas)

Lecture 18: The Laplace Transform (See Sections and 14.7 in Boas) Lecure 8: The Lalace Transform (See Secons 88- and 47 n Boas) Recall ha our bg-cure goal s he analyss of he dfferenal equaon, ax bx cx F, where we emloy varous exansons for he drvng funcon F deendng on

More information

ME 200 Thermodynamics I Spring 2014 Examination 3 Thu 4/10/14 6:30 7:30 PM WTHR 200, CL50 224, PHY 112 LAST NAME FIRST NAME

ME 200 Thermodynamics I Spring 2014 Examination 3 Thu 4/10/14 6:30 7:30 PM WTHR 200, CL50 224, PHY 112 LAST NAME FIRST NAME M 00 hrodynac Sprng 014 xanaton 3 hu 4/10/14 6:30 7:30 PM WHR 00, CL50 4, PHY 11 Crcl your dvon: PHY 11 WHR 00 WHR 00 CL50 4 CL50 4 PHY 11 7:30 Joglkar 9:30 Wagrn 10:30 Gor 1:30 Chn :30 Woodland 4:30 Srcar

More information

Equil. Properties of Reacting Gas Mixtures. So far have looked at Statistical Mechanics results for a single (pure) perfect gas

Equil. Properties of Reacting Gas Mixtures. So far have looked at Statistical Mechanics results for a single (pure) perfect gas Shool of roa Engnrng Equl. Prort of Ratng Ga Mxtur So far hav lookd at Stattal Mhan rult for a ngl (ur) rft ga hown how to gt ga rort (,, h, v,,, ) from artton funton () For nonratng rft ga mxtur, gt mxtur

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

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018 DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS Aoc. Prof. Dr. Burak Kllci Spring 08 OUTLINE Th Laplac Tranform Rgion of convrgnc for Laplac ranform Invr Laplac ranform Gomric valuaion

More information

Chapter 12 Introduction To The Laplace Transform

Chapter 12 Introduction To The Laplace Transform Chapr Inroducion To Th aplac Tranorm Diniion o h aplac Tranorm - Th Sp & Impul uncion aplac Tranorm o pciic uncion 5 Opraional Tranorm Applying h aplac Tranorm 7 Invr Tranorm o Raional uncion 8 Pol and

More information

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS Answr Ky Nam: Da: UNIT # EXPONENTIAL AND LOGARITHMIC FUNCTIONS Par I Qusions. Th prssion is quivaln o () () 6 6 6. Th ponnial funcion y 6 could rwrin as y () y y 6 () y y (). Th prssion a is quivaln o

More information

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables

Improved Exponential Estimator for Population Variance Using Two Auxiliary Variables Rajh gh Dparm of ac,baara Hdu Uvr(U.P.), Ida Pakaj Chauha, rmala awa chool of ac, DAVV, Idor (M.P.), Ida Flor maradach Dparm of Mahmac, Uvr of w Mco, Gallup, UA Improvd Epoal Emaor for Populao Varac Ug

More information

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule Lcur : Numrical ngraion Th Trapzoidal and Simpson s Rul A problm Th probabiliy of a normally disribud (man µ and sandard dviaion σ ) vn occurring bwn h valus a and b is B A P( a x b) d () π whr a µ b -

More information

Chap 2: Reliability and Availability Models

Chap 2: Reliability and Availability Models Chap : lably ad valably Modls lably = prob{s s fully fucog [,]} Suppos from [,] m prod, w masur ou of N compos, of whch N : # of compos oprag corrcly a m N f : # of compos whch hav fald a m rlably of h

More information

REPETITION before the exam PART 2, Transform Methods. Laplace transforms: τ dτ. L1. Derive the formulas : L2. Find the Laplace transform F(s) if.

REPETITION before the exam PART 2, Transform Methods. Laplace transforms: τ dτ. L1. Derive the formulas : L2. Find the Laplace transform F(s) if. Tranform Mhod and Calculu of Svral Variabl H7, p Lcurr: Armin Halilovic KTH, Campu Haning E-mail: armin@dkh, wwwdkh/armin REPETITION bfor h am PART, Tranform Mhod Laplac ranform: L Driv h formula : a L[

More information

Exclusive Technology Feature. Current-Loop Control In Switching Converters Part 6: Slope Compensation. Slope Compensation. ISSUE: February 2012

Exclusive Technology Feature. Current-Loop Control In Switching Converters Part 6: Slope Compensation. Slope Compensation. ISSUE: February 2012 : Fbruary Currn-oop Conro n wchng Convrr Par 6: op Copnaon By nn Fuch, nnovaa aboraor, Cayo, B h a nan of h arc prnd a rfnd od of currn-od conro ha provd a dpr unfcaon of h qua-ac or ow-frquncy currn-oop

More information

A Review of Term Structure Estimation Methods

A Review of Term Structure Estimation Methods A Rvw of Trm Srucur Emaon Mhod Sanay Nawalkha, Ph.D Inbrg School of Managmn Glora M. Soo, Ph.D Unvry of Murca 67 Inroducon Th rm rucur of nr ra, or h TSIR, can b dfnd a h rlaonhp bwn h yld on an nvmn and

More information

14.02 Principles of Macroeconomics Problem Set 5 Fall 2005

14.02 Principles of Macroeconomics Problem Set 5 Fall 2005 40 Principls of Macroconomics Problm S 5 Fall 005 Posd: Wdnsday, Novmbr 6, 005 Du: Wdnsday, Novmbr 3, 005 Plas wri your nam AND your TA s nam on your problm s Thanks! Exrcis I Tru/Fals? Explain Dpnding

More information

Instructors Solution for Assignment 3 Chapter 3: Time Domain Analysis of LTIC Systems

Instructors Solution for Assignment 3 Chapter 3: Time Domain Analysis of LTIC Systems Inrucor Soluion for Aignmn Chapr : Tim Domain Anali of LTIC Sm Problm i a 8 x x wih x u,, an Zro-inpu rpon of h m: Th characriic quaion of h LTIC m i i 8, which ha roo a ± j Th zro-inpu rpon i givn b zi

More information

A Simple Representation of the Weighted Non-Central Chi-Square Distribution

A Simple Representation of the Weighted Non-Central Chi-Square Distribution SSN: 9-875 raoa Joura o ovav Rarch Scc grg a Tchoogy (A S 97: 7 Cr rgaao) Vo u 9 Sbr A S Rrao o h Wgh No-Cra Ch-Squar Drbuo Dr ay A hry Dr Sahar A brah Dr Ya Y Aba Proor D o Mahaca Sac u o Saca Su a Rarch

More information

Overlap Bias in the Case-Crossover Design, With Application to Air Pollution Exposures

Overlap Bias in the Case-Crossover Design, With Application to Air Pollution Exposures U Boac orkng Papr Sr -3-2004 Ovrlap Ba n h Ca-Croovr Dgn, h Applcaon o Ar Polluon Expour Holly Jan Unvry of ahngon, hjan@u.wahngon.du Lann Shppard Unvry of ahngon, hppard@u.wahngon.du homa Lumly Unvry

More information

Ma/CS 6a Class 15: Flows and Bipartite Graphs

Ma/CS 6a Class 15: Flows and Bipartite Graphs //206 Ma/CS 6a Cla : Flow and Bipari Graph By Adam Shffr Rmindr: Flow Nwork A flow nwork i a digraph G = V, E, oghr wih a ourc vrx V, a ink vrx V, and a capaciy funcion c: E N. Capaciy Sourc 7 a b c d

More information

Physics 160 Lecture 3. R. Johnson April 6, 2015

Physics 160 Lecture 3. R. Johnson April 6, 2015 Physics 6 Lcur 3 R. Johnson April 6, 5 RC Circui (Low-Pass Filr This is h sam RC circui w lookd a arlir h im doma, bu hr w ar rsd h frquncy rspons. So w pu a s wav sad of a sp funcion. whr R C RC Complx

More information

Grand Canonical Ensemble

Grand Canonical Ensemble Th nsmbl of systms mmrsd n a partcl-hat rsrvor at constant tmpratur T, prssur P, and chmcal potntal. Consdr an nsmbl of M dntcal systms (M =,, 3,...M).. Thy ar mutually sharng th total numbr of partcls

More information

UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION

UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION INTERNATIONAL TRADE T. J. KEHOE UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 27 EXAMINATION Please answer wo of he hree quesons. You can consul class noes, workng papers, and arcles whle you are workng on he

More information

Chapter 8 Theories of Systems

Chapter 8 Theories of Systems ~~ 7 Char Thor of Sm - Lala Tranform Solon of Lnar Sm Lnar Sm F : Conr n a n- n- a n- n- a a f L n n- ' ' ' n n n a a a a f Eg - an b ranform no ' ' b an b Lala ranform Sol Lf ]F-f 7 C 7 C C C ] a L a

More information

Lecture 12: Introduction to nonlinear optics II.

Lecture 12: Introduction to nonlinear optics II. Lcur : Iroduco o olar opcs II r Kužl ropagao of srog opc sgals propr olar ffcs Scod ordr ffcs! Thr-wav mxg has machg codo! Scod harmoc grao! Sum frqucy grao! aramrc grao Thrd ordr ffcs! Four-wav mxg! Opcal

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

ELEN E4830 Digital Image Processing

ELEN E4830 Digital Image Processing ELEN E48 Dgal Imag Procssng Mrm Eamnaon Sprng Soluon Problm Quanzaon and Human Encodng r k u P u P u r r 6 6 6 6 5 6 4 8 8 4 P r 6 6 P r 4 8 8 6 8 4 r 8 4 8 4 7 8 r 6 6 6 6 P r 8 4 8 P r 6 6 8 5 P r /

More information

(1) Then we could wave our hands over this and it would become:

(1) Then we could wave our hands over this and it would become: MAT* K285 Spring 28 Anthony Bnoit 4/17/28 Wk 12: Laplac Tranform Rading: Kohlr & Johnon, Chaptr 5 to p. 35 HW: 5.1: 3, 7, 1*, 19 5.2: 1, 5*, 13*, 19, 45* 5.3: 1, 11*, 19 * Pla writ-up th problm natly and

More information

Comparison of the performance of best linear unbiased predictors (BLUP)

Comparison of the performance of best linear unbiased predictors (BLUP) Comparon of h prformanc of b lnar unbad prdcor (BLUP) Pkang Yao Synh Spn 130 Wrgh Lan Ea W Chr, PA 19380 USA yao.pr@ynh.com Edward J. Sank III Dparmn of Publc Halh 401 Arnold Hou Unvry of Maachu 711 Norh

More information

The Exile Began. Family Journal Page. God Called Jeremiah Jeremiah 1. Preschool. below. Tell. them too. Kids. Ke Passage: Ezekiel 37:27

The Exile Began. Family Journal Page. God Called Jeremiah Jeremiah 1. Preschool. below. Tell. them too. Kids. Ke Passage: Ezekiel 37:27 Faily Jo Pag Th Exil Bg io hy u c prof b jo ou Shar ab ou job ab ar h o ay u Yo ra u ar u r a i A h ) ar par ( grp hav h y y b jo i crib blo Tll ri ir r a r gro up Allo big u r a i Rvi h b of ha u ha a

More information

Double Slits in Space and Time

Double Slits in Space and Time Doubl Slis in Sac an Tim Gorg Jons As has bn ror rcnly in h mia, a am l by Grhar Paulus has monsra an inrsing chniqu for ionizing argon aoms by using ulra-shor lasr ulss. Each lasr uls is ffcivly on an

More information

4.8 Huffman Codes. Wordle. Encoding Text. Encoding Text. Prefix Codes. Encoding Text

4.8 Huffman Codes. Wordle. Encoding Text. Encoding Text. Prefix Codes. Encoding Text 2/26/2 Word A word a word coag. A word contrctd ot of on of th ntrctor ar: 4.8 Hffan Cod word contrctd ng th java at at word.nt word a randozd grdy agorth to ov th ackng rob Encodng Txt Q. Gvn a txt that

More information

CIVL 7/ D Boundary Value Problems - Quadrilateral Elements (Q8) 1/9

CIVL 7/ D Boundary Value Problems - Quadrilateral Elements (Q8) 1/9 CIVL / -D Boundry Vlu Problm - Qudrlrl Elmn (Q) /9 EIGH-ODE QUADRILAERRAL ELEMES (Q) h nx n our lmn dvlopmn logcl xnon of h qudrlrl lmn o qudrclly nrpold qudrlrl lmn dfnd by gh nod, four h vrc nd four

More information

Elementary Differential Equations and Boundary Value Problems

Elementary Differential Equations and Boundary Value Problems Elmnar Diffrnial Equaions and Boundar Valu Problms Boc. & DiPrima 9 h Ediion Chapr : Firs Ordr Diffrnial Equaions 00600 คณ ตศาสตร ว ศวกรรม สาขาว ชาว ศวกรรมคอมพ วเตอร ป การศ กษา /55 ผศ.ดร.อร ญญา ผศ.ดร.สมศ

More information

Reliability analysis of time - dependent stress - strength system when the number of cycles follows binomial distribution

Reliability analysis of time - dependent stress - strength system when the number of cycles follows binomial distribution raoal Joural of Sascs ad Ssms SSN 97-675 Volum, Numbr 7,. 575-58 sarch da Publcaos h://www.rublcao.com labl aalss of m - dd srss - srgh ssm wh h umbr of ccls follows bomal dsrbuo T.Sumah Umamahswar, N.Swah,

More information

Answer Homework 5 PHA5127 Fall 1999 Jeff Stark

Answer Homework 5 PHA5127 Fall 1999 Jeff Stark Answr omwork 5 PA527 Fall 999 Jff Stark A patint is bing tratd with Drug X in a clinical stting. Upon admiion, an IV bolus dos of 000mg was givn which yildd an initial concntration of 5.56 µg/ml. A fw

More information

Bethe-Salpeter Equation Green s Function and the Bethe-Salpeter Equation for Effective Interaction in the Ladder Approximation

Bethe-Salpeter Equation Green s Function and the Bethe-Salpeter Equation for Effective Interaction in the Ladder Approximation Bh-Salp Equaon n s Funcon and h Bh-Salp Equaon fo Effcv Inacon n h Ladd Appoxmaon Csa A. Z. Vasconcllos Insuo d Físca-UFRS - upo: Físca d Hadons Sngl-Pacl Popagao. Dagam xpanson of popagao. W consd as

More information

CHAPTER 33: PARTICLE PHYSICS

CHAPTER 33: PARTICLE PHYSICS Collg Physcs Studnt s Manual Chaptr 33 CHAPTER 33: PARTICLE PHYSICS 33. THE FOUR BASIC FORCES 4. (a) Fnd th rato of th strngths of th wak and lctromagntc forcs undr ordnary crcumstancs. (b) What dos that

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