Dynamic Controllability with Overlapping Targets: Or Why Target Independence May Not be Good for You

Size: px
Start display at page:

Download "Dynamic Controllability with Overlapping Targets: Or Why Target Independence May Not be Good for You"

Transcription

1 Dynamc Conrollably wh Ovrlappng Targs: Or Why Targ Indpndnc May No b Good for You Ncola Acoclla Unvrsy of Rom La Sapnza Govann D Barolomo Unvrsy of Rom La Sapnza and Unvrsy of Tramo Andrw Hughs Hall Vandrbl Unvrsy and CEPR 3 March, 2006 Absrac. W gnralz som rcn rsuls dvlopd n sac polcy gams wh mulpl playrs, o a dynamc conx. W fnd ha h classcal hory of conomc polcy, sac or dynamc, can b usfully appld o a sragc conx of dffrnc gams: f on playr sasfs h Goldn Rul, hn hr all ohr playrs polcs ar nffcv wh rspc o h dynamc arg varabls shard wh ha playr. Or no Nash Fdback Equlbrum can xs, unlss hy all shar arg valus for hos varabls. W xnd hos rsuls o h cas whr hr ar also non-dynamc args, o show ha polcy ffcvnss (a Nash qulbrum) can connu o xs f som playrs sasfy h Goldn Rul bu arg valus dffr bwn playrs n hr non-dynamc args. W dmonsra h praccal mporanc of hs rsuls by showng how polcy ffcvnss (a polcy qulbrum) can appar or dsappar wh small varaons n h xpcaons procss or polcy rul n a wdly usd modl of monary polcy wh h possbly of arg ndpndnc. JEL Classfcaon: C72, E52, E6. Kywords: Polcy gams, polcy nffcvnss, sac conrollably, xsnc of qulbra, Nash Fdback Equlbrum.

2 . Inroducon Th ssu of h ffcvnss of publc polcy s cnral o conomc analyss. Th nal conrbuons by Tnbrgn, Thl and ohrs sad h condons for polcy ffcvnss, boh sac and dynamc, n a paramrc conx. In h las wo dcads a nw approach o conomc polcy problms has dvlopd, mmun from h Lucas (976) crqu, n whch h sragc nracons bwn h govrnmn, cnral bank and ohr agns ar modlld xplcly. 2 Howvr, absrac condons for polcy ffcvnss hav no bn sudd n ha conx unl rcnly. Acoclla and D Barolomo (2004, 2006) provd gnral condons for polcy nffcvnss and qulbrum xsnc n sac LQ-gams of h knd sad by h classcal hory of conomc polcy, and show how hs can b profably usd o dfn som gnral proprs of polcy gams. Ths papr xnds h sam da of conrollably o dynamc dffrnc gams, and n ha conx w consdr h mporanc of arg ndpndnc (as opposd o nsrumn ndpndnc) whch has bn a pon of parcular conrovrsy n monary polcy dsgn. Our approach s o consdr h Nash Fdback Equlbrum for LQ-dffrnc gams, 3 and drv condons for polcy nffcvnss and h qulbrum xsnc for ha cas. W hn dmonsra h usfulnss of our rsuls by showng how asly polcy ffcvnss, or a polcy qulbrum, can appar or dsappar wh small varaons n h xpcaons procss or h polcy rul n a sandard modl of monary hory llusrang, as w do so, how cran varaons n h problm can prm or ak away h opporuny for polcy makrs o opra wh dffrng arg valus for hr polcy objcvs. To do hs, w mak us of som proprs of spars marcs snc narly all conomc modls dsplay sparsnss. Th rs of h papr s organzd as follows. Scon 2 dfns basc concps and nroducs a formal framwork o dscrb LQ-dffrnc gams. Scon 3 drvs wo horms sang a suffcn condon for polcy nffcvnss and a ncssary condon for h qulbrum xsnc n h radonal Tnbrgn framwork. Scon 4 provds a formal rlaxaon of Tnbrgn (952,956); Thl (964). 2 Hughs Hall (984,986), Lvn and Brocnr (994), Aarl al (997), Engwrda al (2002), Pappa (2004). 3 No ha w ar concrnd hr wh dynamc conrollably n h sns of achvng cran arg valus n succssv prods of m, bu no n h alrnav (classcal) sns of rachng hos arg valus only afr a cran numbr of m prods has lapsd. 2

3 h wo horms for h cas of spars conomc sysms. Scon 5 llusras h applcaon of our rsuls o on of h mos wdly usd modls n monary hory. Th papr nds wh som conclusons and som das for furhr rsarch. 2. Th Basc Sup W consdr h problm whr n playrs ry o mnmz hr ndvdual quadrac crron. Each playr conrols a dffrn s of npus o a sngl sysm, whch s dscrbd by h followng dffrnc quaon: () x( + ) = Ax( ) + Bu ( ) N M whr N s h s of h playrs, x, s h vcor of h sas of h sysm; u m () s h (conrol varabl) vcor ha playr can manpula; and A M M and B M m () ar full-rank marcs dscrbng h sysm paramrs whch (for smplcy) ar consan. Th crron playr N ams o mnmz s + (2) J ( u, u,..., u ) = ( x ( ) x ) Q ( x ( ) x ) whr 2 n = 0 ( ) M x s a vcor of arg valus. For playr, h rlvan sub-sysm of () s: (3) x( + ) = Ax ( ) + Bjuj( ) j N whr ( ) M( ) M A and ( ) m() M B j ar appropra sub-marcs of A and B. W assum ha all marcs ar of full rank, and ha ( ) () hs assumpons s sraghforward. M m. Th conomc nrpraon of Th Nash Fdback Equlbrum can now b dfnd as follows. ( 2 n ) ( * ) ( * ( ) * ( ) ( ) *, 2,...,..., ( )) u Dfnon (Nash Fdback Equlbrum): A vcor u * ( ) u * ( ), u * ( ),..., u * ( )..., u * ( ) a Nash Fdback Equlbrum f ( ) J u J u u u u n = s for any ( ) and for any playr, whr u () s a fdback sragy gvn h nformaon a prod. 3

4 Opraonally, a fdback sragy mans ha a conngn rul (dpndn on h sysm s sa vcor) s provdd for ach playr, and ha h ruls hmslvs can b oband from h backward rcursons of dynamc programmng (Holly and Hughs Hall, 989: 76-79). 3. Th Goldn Rul and h Equlbrum Proprs In ordr o apply h radonal hory of conomc polcy o sudy h proprs of Nash Fdback Equlbrum, w frs rcall h radonal Tnbrgn da of sac conrollably: Dfnon (Goldn Rul): A polcymakr sasfs h Goldn Rul of conomc polcy f h numbr of s ndpndn nsrumns (a las) quals h numbr of s ndpndn args. Scond, w nd o rdfn polcy nffcvnss, snc s classcal dfnon 4 canno b manand n h ralm of mul-playr polcy gams whr polcs bcom ndognous varabls. Insad, h followng dfnon of nffcvnss can b appld. 5 Dfnon (nffcvnss): A polcy s nffcv f h qulbrum valus of h args ar nvr affcd by changs n h paramrs of s crron funcon. Conrollably, n h rms of h Goldn Rul of conomc polcy, nffcvnss and h Nash Fdback Equlbrum xsnc ar rlad hrough h followng wo horms. Thorm (nffcvnss): Provdd ha an qulbrum xss, f on playr sasfs h Goldn Rul, all h ohr playrs polcs ar nffcv wh rspc o h arg varabls shard wh ha playr. Proof. W sar by assumng ha h polcymakrs valu funcons ar quadrac, 6 V( x) = ( x() x) P( x() x), whr P ar ngav dfn symmrc marcs so ha hr ar no rdundan args (and for h sak of smplcy, m ndxs ar omd). By usng h ranson law o lmna h nx prod sa, h n Bllman quaons bcom: 4 Th classcal dfnon of polcy nffcvnss mpls ha auonomous changs n h polcymakr s nsrumns can hav no nflunc on h args (Hughs Hall, 989). Howvr ha dos no allow for h possbl blockng movs by ohr polcy playrs n h gam. W hrfor adop a mor gnral dfnon hr. 5 S Gylfason and Lndbck (994). 6 Indd, w know ha h valu funcon mus b convx for a soluon o xs (s.g. Başar and Olsdr, 995; Sargn, 987: 42-48; Docknr al, 2000). S also Engwrda (2000a, 2000b) for a mor advancd xposon. 4

5 x x P x x = x x Q x x + Ax + Bjuj P Ax + Bjuj u j N j N (4) ( ) ( ) max ( ) ( ) A Nash Fdback Equlbrum mus sasfy h frs-ordr condons: BPB u =BP A x x + Bju j j N/ whch ylds h followng polcy rul: ' ' ' ' (6) u =( B PB ) B PA( x x ) ( B PB ) B P B u (5) ( ) ( ) j j j N/ Now, o dmonsra Thorm, w focus (whou loss of gnraly) on playr. If playr sasfs h Goldn Rul, hn m() M ( ) Equaon (6) hn bcoms: n = j j= 2 (7) ( ) u B A x x B B u snc P s also nonsngular. Tha mpls: (8) x( ) x + = for all [ 0, + ] = and j B ( ) M( ) M s squar and nonsngular. Thus, f a Nash Fdback Equlbrum xss, h valu of h arg vcor x s m nvaran and only dpnds on h prfrncs of playr, snc n ha cas condon (7) wll hold for all prods [ ] 0, +. Ths compls h proof of Thorm. Thorm 2 (non-xsnc): Th Nash Fdback Equlbrum of h polcy gam dscrbd dos no xs f wo or mor playrs sasfy h Goldn Rul and a las wo of hm shar on or mor arg varabls. Proof. To prov Thorm 2 w only nd o show ha f also anohr playr (.g. playr 2) sasfs hs/hr Goldn Rul, h qulbrum dos no xs. Assum a soluon xss and ha hs soluon mpls h followng opmal polcy vcor u * ( u * * *, u2,..., un ) * * * gvn u () u (), () (9) 3,..., n = a m. Thn, * u and u () mus sasfy h followng sysm (oband from (5)): 2 ( ) * A x x + Bju j B PB B 22PB 2 2 u B P j N/ * BPB 2 B22PB 2 22 u = 2 B22P 2 A2( x2 x2) B2 ju + j j N/2 5

6 Noc ha h frs-parond marx of (9) s always squar; and ha f boh playrs sasfy hr Goldn Rul, hn all h marcs hrn ar also squar. Now assum ha boh playrs shar h sam arg varabls,.. x = x2. In hs cas, w hav A = A2 and Bj = Bj for {, 2} and j N. Th frs-parond marx of (9) hrfor has a zro drmnan ( B B2 = and B2 B22 no xs and, hrfor, = ) and canno b nvrd. Hnc, a coupl ( * *, 2) * u canno b h soluon, as clamd by h horm. u u sasfyng (9) dos Convrsly, consdr now arg spac nsad of nsrumn spac. If h frs wo playrs boh sasfy h Goldn Rul, s asy o show ha by subsung h frs ordr condon for u 2 from (5) no (7) for u, h frs ordr condons for boh playrs canno boh b sasfd unlss hy boh shar h sam arg valus,.. unlss h followng holds: (0) A( x x ) = or x =. 2 0 x 2 7 Nx, consdr h cas whr h frs wo playrs do no shar all hr args. Whn h sysm can b conrolld, hs cas can b solvd by dcomposng h problm of ach playr no wo muually nrdpndn problms: (A) o mnmz h quadrac dvaons of h shard args from hr shard arg valus usng an qual numbr of (arbrary slcd) nsrumns from u, assumng ha non-shard arg valus can b rachd; (B) o mnmz h quadrac dvaons of h non-shard args from hr arg valus wh rspc o h rmanng nsrumns, assumng ha h shard args ar sasfd (and qual o hr arg valus bcaus of h Goldn Rul). Gvn (0), h mpossbly of a soluon now mrgs from h frs-ordr condons for h frs of h wo problms (A). 8 Hnc, as clamd, f a las wo playrs conrol hr sub-sysms and shar a las on arg varabl, h Nash Fdback Equlbrum canno xs. Commn : Thorm gvs a suffcn condon for polcy ffcvnss. Bu hs dos no assur h xsnc of an qulbrum, whch may fal o occur. By conras, Thorm 2 gvs a ncssary condon for an qulbrum o xs snc sas a suffcn condon for 7 x x 2 s no possbl hr bcaus A s of full rank. W consdr h cas whr r(a)<m n h nx scon 8 Noc ha, bcaus h args ar conrollabl, hs rsul s ndpndn of h assgnmn of h nsrumns. 6

7 h oppos. Howvr, may no b suffcn for xsnc. 9 sasfd, Thorm 2 s no (and vc vrsa). No also ha f Thorm s Commn 2: Th mporanc of hs rsuls for conomc polcy s xmplfd by Thorm 2. I says ha f wo ndpndn polcy auhors, say fscal polcy makrs and h cnral bank, dcd o pursu dffrn nflaon args, hn h Nash qulbrum may no xs and h conomy may no b abl o rach an qulbrum whn boh polcy makrs ry o opmz hr polcs. Th condons for hs o happn ar no parcularly srngn. In ohr words, xcp for cran spars conoms dscussd blow, arg ndpndnc may b unhlpful no bcaus fscal and monary polcs canno b coordnad proprly, bu bcaus h undrlyng qulbrum canno b rachd f boh polcy makrs ry o opmz hr polcy chocs ndpndnly. 4. A Gnralzaon: Spars Economc Sysms W now rlax Thorms and 2 n a way whch may prov mporan n conomc modls, bu whch s lss ofn obsrvd n physcal sysms. Mos conomc modls dsplay sparsnss. Tha s o say, whn wrn n srucural form, hy ypcally rla ach ndognous varabl o jus on or wo ohr ndognous varabls; and a small numbr of laggd ndognous varabls, conrol varabls, or prdrmnd varabls. In ha cas, h srucural modl from whch () s drvd can b wrn as () x( + ) = Cx( + ) + Dx() + Fu () N whr C, D and F ar spars marcs (prdomnanly zro marcs, wh jus a fw nonzro lmns pr row). For h sak of smplcy w assum ha all h playrs shar all h arg varabls (as dscussd n h prvous scon, hs assumpon can b asly rlaxd). In ha cas, h ndx on marcs A can b rmovd, oghr wh h scond ndx on h B marcs. In hs suaon, () has (2) = ( ) and = ( ) A I C D B I C F 9 Exsnc s a rahr complx mar n hs conx. For xampl, bng n a dynamc sysm, sably s also rqurd. S Engwrda (2000a, 2000b). 7

8 whr ( I C) xss by vru of h normalzaon n (), rrspcv of h dfnons of C, D and F. Bu A and B ar now no longr of full rank. Howvr, w can pr-mulply () by a prmuaon marx T; and nsr T T (whr T = T, a propry of prmuaon marcs) no h frs wo rms on h rgh of (). Ths allows us o spara hos arg varabls whch ar affcd drcly by dynamc adjusmns ovr m, from hos whch ar no. W g h rordrd sysm: (3) x ( + ) = Ax ( ) + Bu ( ) whr x() = Tx() N, ( ) and ( ) A= I TCT TDT B = I TCT TFT. Bu hs formulaon A 0 hn mpls A = A2 0 whr A s a squar full rank marx of ordr l, A2 (Ml) l, and whr l s h numbr of arg varabls n h sysm ha ar drcly subjc o dynamc adjusmns (.. h rank of C). Hnc Ml arg varabls ar no drcly subjc o dynamc adjusmns. Thy appar n h scond sub-vcor of x (). Now w can rwork Thorm 2. W g: Thorm 3 (nffcvnss and non-nuraly n spars conoms). If h args of on (and only on) playr whch ar drcly subjc o dynamc adjusmns also sasfy h Goldn Rul among hmslvs, hn h polcs of all ohr playrs wll b nffcv wh rspc o hr dynamc args. Convrsly, no Nash Fdback Equlbrum xss n hs polcy gam f wo or mor playrs sasfy h Goldn Rul for hr dynamc args unlss hy happn o shar arg valus for hos varabls. Bu h Nash qulbrum may sll xs f h Goldn Rul s sasfd and h arg valus for h non-dynamc args dffr across playrs; and h polcs of h ohr playrs wll sll b ffcv for hos args vn f on (or som) playr sasfs h Goldn Rul. Proof. Rcall ha, unl now, f playrs and 2 sasfy h Goldn Rul, hr racon funcons mply A( x x ) ( x ) A x (no ha 2 = 0 =. In a spars conomc sysm, h quvaln condon s 2 0 sll xss f s squar, and h Goldn Rul appls o playr B ). W now wr x as h frs l lmns of x (corrspondng o h frs l lmns, or dynamc args, n x ) and x 2 as h rmanng Ml lmns of x. Smlarly, w dfn x 2 8

9 and x 22 o b h assocad sub-vcors of x 2. Ths parons conform o ha n A. Our horm now follows from h fac ha boh A ( x x ) = and A ( x x ) 2 0 =, and hnc x = x2 (snc A and A 2 dffr n dmnson and A s of full rank), wll b ndd o sasfy h rplacmn for (0) n hs cas: namly, A( x x ) s conssn wh A ( x x ) 2 = 0. Tha compls h proof.. Howvr x x = 0 5. An Exampl W urn now o som smpl xampls o llusra h usfulnss of hs rsuls n pracc. Consdr an conomy ha can b dscrbd by h followng wll-known modl: (4) y = ρ y + απ ( π ) β( π ) + ε (5) = c0 + c( π π ) + c2y (6) π π = d( π π ) wh 0< d <. Equaon (4) s an laboraon of h sandard workhors modl whch has bn par of h hory of monary polcy snc h Barro-Gordon modl was nroducd n 983. I consss of a shor run Phllps curv wh prssnc ( ρ 0 ), s whn a sandard Lucas supply funcon (long run Phllps curv) and laborad o nclud h ffcs of nrs ra changs on oupu. I could hrfor b nrprd as hr a dynamc opn conomy Phllps curv; or a nw Kynsan IS curv wh dynamcs. In ha conx, y s h dvaon of oupu from s naural ra (h oupu gap); π s h ra of nflaon, and π h xpcd ra of nflaon n h prva scor; s h nomnal ra of nrs ( ra of nrs); and ε a supply shock wh man zro and consan varanc. π, h corrspondng ral Th chf polcy nsrumn (conrol varabl) n hs xampl wll b. Equaon (5) s hrfor a Taylor rul: c 0 s a consan rm, rflcng conrol rrors or h qulbrum ra of nrs; π s h arg nflaon ra, and drmnacy (h Taylor prncpl) suggss c >. Fnally, (6) says ha xpcaons ar formd by h adapv prncpl (w mprov on ha blow); and all paramrs, n all hr quaons, ar dfnd o b posv. Ths modl has lags n all hr ndognous varabls: y, π and π. 9

10 To oban h rducd form of (4)-(6), corrspondng o (), w rnormalz (5) on π. Ths hn ylds, corrspondng o (), (7) α α β y ρ 0 0 y β ε cc 2 0 π = π + c + π c. 0 0 π 0 d d π 0 0 From hr w can drmn h valu of A for hs modl, usng (2). I s ρ d( α β) ( d)( α β) (8) A=Δ ρc2c d( α β) c2c ( d)( α β) c2c 0 d( + c2cα) ( + c2cα)( d) whr Δ= + αcc, h drmnan of h Jacoban marx n (7), s nonzro as long as 2 c 0 2 α c +, a condon whch always holds. Bu (8) canno b r-organzd o dlvr zros n h rgh hand column (h condon ha allows on arg o b dcoupld). Hnc, f hr ar mulpl polcy makrs n hs modl, hy would hav o s dncal arg valus for h oupu gap, h nflaon ra, and h nflaon xpcaons ha hy wan h marks o hav, f hr s o b an qulbrum for h polcy gam; and f hos args ar o b conrollabl. Morovr hr could b compng polcy makrs, wh h cnral bank usng nomnal nrs ras o conrol nflaon bu anohr auhory (h govrnmn) sng h long rm nflaon arg π ; or whr fscal polcy makrs ry o modra h ffcs of monary polcy by mans of ax braks or suabl budgary polcs; or whr polcy makrs ry o nflunc nflaon xpcaons by sng nrmda args, or by alkng h xchang ra up or down (hs would rqur an xra consan rm n (6) and hnc h hrd quaon of (7)). Ths ar all suaons ha ar common n pracc. Th Bank of England s an xampl of h frs cas; h US, or Ialy and Franc n h Euro s an xampl of h scond; and Turky or many hgh nflaon counrs of h hrd. Nx w consdr a varan on hs xampl. Suppos, bcaus of daa rvsons, polcy makrs rcognz ha s dffcul o masur h currn oupu gap accuraly, and us a mor rlabl pas masur y n quaon (5) nsad. Suppos also ha h prva scor, prhaps for smlar rasons, fnd ha mprfc xpcaons nroduc oo much volaly no 0

11 h sysm, and fnd chapr o us smpl laggd xpcaons nsad: π = d. Th modl now has no lags n π. Solvng hrough () and (2), w now g (9) ρ d( α β) 0 A =Δ c2c ρ d( α β) c2c 0. 0 d( + c2cα ) 0 Ths allows our ponal polcy makrs o dsagr on h (nrmda) nflaon args hy announc o h marks ( π ), bu sll hav conrollabl arg varabls and a rachabl Nash qulbrum. Ths happns bcaus hr s now a dlay bfor som of h arg varabls ar affcd by h polcy nsrumns. So hy can s polcs o rach som agrd args frs, allowng dffrncs o prss lswhr, and hn us hm agan o rach h ohr arg valus lar. π A srongr vrson of hs rsul s oband f h conmporanous oupu gap s rsord o h Taylor rul (5), bu xpcaons ar raonal. Tha mans (6) s rplacd by (20) π = π v whr v s a random xpcaons rror wh man zro. Ths s h form of h modl ha mos horss would favor. I mpls ha w now hav no lags n hrπ or π, and ha (2) 0 0 A =Δ Γ c2c 0 0 cc ( 2 ) Γ= Δ+. Evdnly, n hs modl, h polcy makrs could hav cc α β ρ whr ( ) dffrn arg valus for boh π and π and sll rach a Nash qulbrum oucom for hr arg varabls. Onc agan, dffrn polcy makrs (n govrnmn and h cnral bank) could hav arg ndpndnc (and hnc dffrn nflaon args) and sll xpc o rach an qulbrum poson. Bu could nvrhlss prov o b a dram snc f xpcaons ar no raonal (bcaus s oo xpnsv o gahr h ncssary nformaon accuraly), or f s dffcul o masur h currn oupu gap rlably, hn hy wll no b abl o rach hs dalzd qulbrum or ndd any ohr soluon whch allows boh o opmz hr polcs.

12 6. Concludng Rmarks Ths papr rprsns an amp o gnralz som rcn rsuls dvlopd n sac polcy gams o a dynamc modl. W fnd ha h classcal hory of conomc polcy can b usfully appld o a sragc conx of dffrnc gams: namly, f on playr sasfs h Goldn Rul, hr all h ohr playrs polcs ar nffcv wh rspc o hr dynamc arg varabls shard wh ha playr or no Nash Fdback Equlbrum xss whou xac agrmn on all h (dynamc) arg valus. W llusra h usfulnss of our rsuls wh rfrnc o a modl ncorporang a Taylor rul, a dscrpon of xpcaons formaon and a rlaon ha can b nrprd as hr a dynamc opn conomy Phllps curv or a Nw- Kynsan IS curv wh dynamcs. Small varaons n h modl spcfcaon can brng, or ak away, polcy ffcvnss allowng h polcy makrs h laud o dsagr on non, on or svral of h xac arg valus n hr (common) objcvs. Lkws, our gnral rsuls show how asly arg ndpndnc, n a world whr nsuonal and polcy ndpndnc ar consdrd mporan, can prov o b counrproducv f polcy makrs ry o opmz hr chocs. Ths rsuls lad o hr obvous opcs for furhr rsarch. Frs. our horms ar basd on a spcfc concp of srong conrollably, usually known as sac conrollably: ha s, h arg valus ar nndd o b rachd n succssv m prods. I s wll known, n fac, ha n gnral fwr nsrumns han args ar ndd o conrol a dynamc sysm whn h args ar o b rachd only afr a gvn numbr of m prods hav lapsd. Onc h horms ar rformulad n rms of ha form of dynamc conrollably, may b possbl o dfn mor gnral and lss srngn condons han hos dscussd hr. Scond, w hav nroducd conmporanous and adapv xpcaons basd on h argumn ha backward lookng modls f h daa br han forward lookng modls (Gal and Grlr, 999). Bu ha may conflc wh acual pracc. For xampl, Cnral Banks rac o nflaon forcass, and h prva scor may b forward lookng n hr wag bargans or ass holdngs. I would b usful o chck f our xampls connu o apply n such cass. Thrd, our rsuls ar dsgnd o dal wh cass of dvolvd dcson makng whn a sngl conomy, whr h govrnmn, cnral bank, mployrs and unons ar concrnd wh oupu, mploymn, nflaon for ha conomy and hav a vary of fscal, monary and labour mark nsrumns o rach hr own args. I would b nrsng, 2

13 hrfor, o xnd our analyss o a mul-counry sng whr som args (for xampl, xchang ras, blaral rad balancs, and nflaon f n a currncy unon) ar hld n common, bu h ohr args ar no. Rfrncs Aarl, B. van, A. L. Bovnbrg and M. G. Rah (997), Is hr a Tragdy for a Common Cnral Bank? A Dynamc Analyss, Journal of Economc Dynamcs and Conrol, 2: Acoclla, N. and G. D Barolomo (2004), Non-Nuraly of Monary Polcy n Polcy Gams, Europan Journal of Polcal Economy, 20: Acoclla, N. and G. D Barolomo (2006), Tnbrgn and Thl M Nash: Conrollably n Polcy Gams, Economcs Lrs, 90: Başar, T. and G.J. Olsdr (995), Dynamc Noncooprav Gam Thory, scond don, Acadmc Prss Lmd, London. Docknr, E., S. Jorgnsn, N. Van Long, and G. Sorgr (2000), Dffrnal Gams n Economcs and Managmn Scncs, Cambrdg Unvrsy Prss, Cambrdg. Engwrda, J.C. (2000a), Fdback Nash Equlbra n h Scalar Infn Horzon LQ-gam, Auomaca, 36: Engwrda, J.C. (2000b), Th Soluon S of h N-Playr Scalar Fdback Nash Algbrac Rcca Equaons, IEEE Transacons on Auomac Conrol, 45: Engwrda, J.C., B. van Aarl and J. Plasmans (2002), Cooprav and Noncooprav Fscal Sablzaon Polcs n EMU, Journal of Economc Dynamcs and Conrol, 26: Gal, J. and M. Grlr (999), Inflaon Dynamcs: A Srucural Economrc Analyss, Journal of Monary Economcs, 44: Gylfason, T. and A. Lndbck (994), Th Inracon of Monary Polcy and Wags, Publc Choc, 79: Holly, S. and A.J. Hughs Hall (989), Opmal Conrol, Expcaons and Uncrany, Cambrdg Unvrsy Prss, Cambrdg. Hughs Hall, A.J. (984), Noncooprav Srags n Dynamc Polcy Gams and h Problm of Tm Inconssncy, Oxford Economc Paprs, 36: Hughs Hall, A.J. (986), Auonomy and h Choc of Polcy n Asymmrcally Dpndn Economs, Oxford Economc Paprs, 38: Hughs Hall, A.J. (989), Economrcs and h Thory of Economc Polcy: Th Tnbrgn-Thl Conrbuons 40 Yars On, Oxford Economc Paprs, 4: Lvn, P. and A. Brocnr (994), Fscal Polcy Coordnaon and EMU, Journal of Economc Dynamcs and Conrol, 8:

14 Lucas, R.E. (976), Economrc polcy valuaon. A crqu, Journal of Monary Economcs, Supplmn, Carng-Rochsr Confrnc Srs on Publc Polcy, : Pappa, E. (2004), Do h ECB and h Fd Rally Nd o Coopra?, Journal of Monary Economcs, 5: Sargn T.J. (987), Dynamc Macroconomc Thory, Harvard Unvrsy Prss, Cambrdg, MA. Thl, H. (964), Opmal Dcson Ruls for Govrnmn and Indusry, Norh-Holland, Amsrdam. Tnbrgn, J. (952), On h Thory of Economc Polcy, Norh-Holland, Amsrdam. Tnbrgn, J. (956), Economc Polcs: Prncpls and Dsgn, Norh-Holland, Amsrdam. 4

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

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

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

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

State Observer Design

State Observer Design Sa Obsrvr Dsgn A. Khak Sdgh Conrol Sysms Group Faculy of Elcrcal and Compur Engnrng K. N. Toos Unvrsy of Tchnology Fbruary 2009 1 Problm Formulaon A ky assumpon n gnvalu assgnmn and sablzng sysms usng

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

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

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

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

Yutaka Suzuki Faculty of Economics, Hosei University. Abstract

Yutaka Suzuki Faculty of Economics, Hosei University. Abstract Equlbrum ncnvs and accumulaon of rlaonal sklls n a dynamc modl of hold up Yuaka uzuk Faculy of Economcs, Hos Unvrsy Absrac W consruc a dynamc modl of Holdup by applyng a framwork n capal accumulaon gams,

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

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

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

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

Analysis of decentralized potential field based multi-agent navigation via primal-dual Lyapunov theory

Analysis of decentralized potential field based multi-agent navigation via primal-dual Lyapunov theory Analyss of dcnralzd ponal fld basd mul-agn navgaon va prmal-dual Lyapunov hory Th MIT Faculy has mad hs arcl opnly avalabl. Plas shar how hs accss bnfs you. Your sory mars. Caon As Publshd Publshr Dmarogonas,

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

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

FAULT TOLERANT SYSTEMS

FAULT TOLERANT SYSTEMS FAULT TOLERANT SYSTEMS hp://www.cs.umass.du/c/orn/faultolransysms ar 4 Analyss Mhods Chapr HW Faul Tolranc ar.4.1 Duplx Sysms Boh procssors xcu h sam as If oupus ar n agrmn - rsul s assumd o b corrc If

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

THE STRUCTURE OF THE COST OF CAPITAL UNDER UNCERTAINTY. Avraham Beja

THE STRUCTURE OF THE COST OF CAPITAL UNDER UNCERTAINTY. Avraham Beja THE STRUCTURE OF THE COST OF CAPITAL UNDER UNCERTAINTY Avraham Bja 1 Inroducon In h analyss of modls of compv marks undr uncrany, dffrn approachs can b dsngushd. On approach, ypcally dal wh n wlfar conomcs,

More information

Guaranteed Cost Control for a Class of Uncertain Delay Systems with Actuator Failures Based on Switching Method

Guaranteed Cost Control for a Class of Uncertain Delay Systems with Actuator Failures Based on Switching Method 49 Inrnaonal Journal of Conrol, Ru Wang Auomaon, and Jun and Zhao Sysms, vol. 5, no. 5, pp. 49-5, Ocobr 7 Guarand Cos Conrol for a Class of Uncran Dlay Sysms wh Acuaor Falurs Basd on Swchng Mhod Ru Wang

More information

A Note on Estimability in Linear Models

A Note on Estimability in Linear Models Intrnatonal Journal of Statstcs and Applcatons 2014, 4(4): 212-216 DOI: 10.5923/j.statstcs.20140404.06 A Not on Estmablty n Lnar Modls S. O. Adymo 1,*, F. N. Nwob 2 1 Dpartmnt of Mathmatcs and Statstcs,

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

Transient Analysis of Two-dimensional State M/G/1 Queueing Model with Multiple Vacations and Bernoulli Schedule

Transient Analysis of Two-dimensional State M/G/1 Queueing Model with Multiple Vacations and Bernoulli Schedule Inrnaonal Journal of Compur Applcaons (975 8887) Volum 4 No.3, Fbruary 22 Transn Analyss of Two-dmnsonal Sa M/G/ Quung Modl wh Mulpl Vacaons and Brnoull Schdul Indra Assoca rofssor Dparmn of Sascs and

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

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

Control Systems (Lecture note #6)

Control Systems (Lecture note #6) 6.5 Corol Sysms (Lcur o #6 Las Tm: Lar algbra rw Lar algbrac quaos soluos Paramrzao of all soluos Smlary rasformao: compao form Egalus ad gcors dagoal form bg pcur: o brach of h cours Vcor spacs marcs

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

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

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

CONTINUOUS TIME DYNAMIC PROGRAMMING

CONTINUOUS TIME DYNAMIC PROGRAMMING Eon. 511b Sprng 1993 C. Sms I. Th Opmaon Problm CONTINUOUS TIME DYNAMIC PROGRAMMING W onsdr h problm of maxmng subj o and EU(C, ) d (1) j ^ d = (C, ) d + σ (C, ) dw () h(c, ), (3) whr () and (3) hold for

More information

Currency crisis: unique equilibrium and transparency

Currency crisis: unique equilibrium and transparency Currncy crss: unqu qulbrum and ransparncy Ch-Tng Chn Dparmn of Rsk Managmn and Insuranc, Mng Chuan Unvrsy Absrac Morrs and Shn (998) nroduc h global gam no h slf-fulfllng currncy crss modl and show ha

More information

On the Derivatives of Bessel and Modified Bessel Functions with Respect to the Order and the Argument

On the Derivatives of Bessel and Modified Bessel Functions with Respect to the Order and the Argument Inrnaional Rsarch Journal of Applid Basic Scincs 03 Aailabl onlin a wwwirjabscom ISSN 5-838X / Vol 4 (): 47-433 Scinc Eplorr Publicaions On h Driais of Bssl Modifid Bssl Funcions wih Rspc o h Ordr h Argumn

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

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

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

Applying Software Reliability Techniques to Low Retail Demand Estimation

Applying Software Reliability Techniques to Low Retail Demand Estimation Applyng Sofwar Rlably Tchnqus o Low Ral Dmand Esmaon Ma Lndsy Unvrsy of Norh Txas ITDS Dp P.O. Box 30549 Dnon, TX 7603-549 940 565 3174 lndsym@un.du Robr Pavur Unvrsy of Norh Txas ITDS Dp P.O. Box 30549

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

Partition Functions for independent and distinguishable particles

Partition Functions for independent and distinguishable particles 0.0J /.77J / 5.60J hrodynacs of oolcular Syss Insrucors: Lnda G. Grffh, Kbrly Haad-Schffrl, Moung G. awnd, Robr W. Fld Lcur 5 5.60/0.0/.77 vs. q for dsngushabl vs ndsngushabl syss Drvaon of hrodynac Proprs

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

Economics 600: August, 2007 Dynamic Part: Problem Set 5. Problems on Differential Equations and Continuous Time Optimization

Economics 600: August, 2007 Dynamic Part: Problem Set 5. Problems on Differential Equations and Continuous Time Optimization THE UNIVERSITY OF MARYLAND COLLEGE PARK, MARYLAND Economcs 600: August, 007 Dynamc Part: Problm St 5 Problms on Dffrntal Equatons and Contnuous Tm Optmzaton Quston Solv th followng two dffrntal quatons.

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

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

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

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

An Indian Journal FULL PAPER. Trade Science Inc. The interest rate level and the loose or tight monetary policy -- based on the fisher effect ABSTRACT

An Indian Journal FULL PAPER. Trade Science Inc. The interest rate level and the loose or tight monetary policy -- based on the fisher effect ABSTRACT [Typ x] [Typ x] [Typ x] ISSN : 0974 7435 Volum 10 Issu 18 BoTchnology 2014 An Indan Journal FULL PAPER BTAIJ, 10(18), 2014 [1042510430] Th nrs ra lvl and h loos or gh monary polcy basd on h fshr ffc Zhao

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

Convergence of Quintic Spline Interpolation

Convergence of Quintic Spline Interpolation Inrnaonal Journal o ompur Applcaons 97 8887 Volum 7 No., Aprl onvrgnc o Qunc Spln Inrpolaon Y.P. Dub Dparmn O Mamacs, L.N..T. Jabalpur 8 Anl Sukla Dparmn O Mamacs Gan Ganga ollg O Tcnog, Jabalpur 8 ASTRAT

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

Dynamic Power Allocation in MIMO Fading Systems Without Channel Distribution Information

Dynamic Power Allocation in MIMO Fading Systems Without Channel Distribution Information PROC. IEEE INFOCOM 06 Dynamc Powr Allocaon n MIMO Fadng Sysms Whou Channl Dsrbuon Informaon Hao Yu and Mchal J. Nly Unvrsy of Souhrn Calforna Absrac Ths papr consdrs dynamc powr allocaon n MIMO fadng sysms

More information

Gauge Theories. Elementary Particle Physics Strong Interaction Fenomenology. Diego Bettoni Academic year

Gauge Theories. Elementary Particle Physics Strong Interaction Fenomenology. Diego Bettoni Academic year Gau Thors Elmary Parcl Physcs Sro Iraco Fomoloy o Bo cadmc yar - Gau Ivarac Gau Ivarac Whr do Laraas or Hamloas com from? How do w kow ha a cra raco should dscrb a acual hyscal sysm? Why s h lcromac raco

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

Let s look again at the first order linear differential equation we are attempting to solve, in its standard form:

Let s look again at the first order linear differential equation we are attempting to solve, in its standard form: Th Ingraing Facor Mhod In h prvious xampls of simpl firs ordr ODEs, w found h soluions by algbraically spara h dpndn variabl- and h indpndn variabl- rms, and wri h wo sids of a givn quaion as drivaivs,

More information

Graduate Macroeconomics 2 Problem set 5. - Solutions

Graduate Macroeconomics 2 Problem set 5. - Solutions Graduae Macroeconomcs 2 Problem se. - Soluons Queson 1 To answer hs queson we need he frms frs order condons and he equaon ha deermnes he number of frms n equlbrum. The frms frs order condons are: F K

More information

Spring 2006 Process Dynamics, Operations, and Control Lesson 2: Mathematics Review

Spring 2006 Process Dynamics, Operations, and Control Lesson 2: Mathematics Review Spring 6 Procss Dynamics, Opraions, and Conrol.45 Lsson : Mahmaics Rviw. conx and dircion Imagin a sysm ha varis in im; w migh plo is oupu vs. im. A plo migh imply an quaion, and h quaion is usually an

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

Mundell-Fleming I: Setup

Mundell-Fleming I: Setup Mundll-Flming I: Sup In ISLM, w had: E ( ) T I( i π G T C Y ) To his, w now add n xpors, which is a funcion of h xchang ra: ε E P* P ( T ) I( i π ) G T NX ( ) C Y Whr NX is assumd (Marshall Lrnr condiion)

More information

On One Analytic Method of. Constructing Program Controls

On One Analytic Method of. Constructing Program Controls Appled Mahemacal Scences, Vol. 9, 05, no. 8, 409-407 HIKARI Ld, www.m-hkar.com hp://dx.do.org/0.988/ams.05.54349 On One Analyc Mehod of Consrucng Program Conrols A. N. Kvko, S. V. Chsyakov and Yu. E. Balyna

More information

Ergodic Capacity of a SIMO System Over Nakagami-q Fading Channel

Ergodic Capacity of a SIMO System Over Nakagami-q Fading Channel DUET Journal Vol., Issu, Jun Ergodc apac of a SIO Ssm Ovr Nakagam-q Fadng hannl d. Sohdul Islam * and ohammad akbul Islam Dp. of Elcrcal and Elcronc Engnrng, Islamc Unvrs of Tchnolog (IUT, Gazpur, Bangladsh

More information

NOTA DI LAVORO OCTOBER 2005 ETA Economic Theory and Applications

NOTA DI LAVORO OCTOBER 2005 ETA Economic Theory and Applications Dynamc Conrollably wh Ovrlappng args: A Gnralzaon of h Tnbrgn- Nash Thory of Economc Polcy Govann D Barolomo, Ncola Acoclla and Andrw Hughs Hall NOTA DI LAVORO 130.2005 OCTOBER 2005 ETA Economc Thory and

More information

Implementation of the Extended Conjugate Gradient Method for the Two- Dimensional Energized Wave Equation

Implementation of the Extended Conjugate Gradient Method for the Two- Dimensional Energized Wave Equation Lonardo Elcronc Jornal of raccs and Tchnolos ISSN 58-078 Iss 9 Jl-Dcmbr 006 p. -4 Implmnaon of h Endd Cona Gradn Mhod for h Two- Dmnsonal Enrd Wav Eqaon Vcor Onoma WAZIRI * Snda Ass REJU Mahmacs/Compr

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

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

Relative controllability of nonlinear systems with delays in control

Relative controllability of nonlinear systems with delays in control Relave conrollably o nonlnear sysems wh delays n conrol Jerzy Klamka Insue o Conrol Engneerng, Slesan Techncal Unversy, 44- Glwce, Poland. phone/ax : 48 32 37227, {jklamka}@a.polsl.glwce.pl Keywor: Conrollably.

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

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

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005

Dynamic Team Decision Theory. EECS 558 Project Shrutivandana Sharma and David Shuman December 10, 2005 Dynamc Team Decson Theory EECS 558 Proec Shruvandana Sharma and Davd Shuman December 0, 005 Oulne Inroducon o Team Decson Theory Decomposon of he Dynamc Team Decson Problem Equvalence of Sac and Dynamc

More information

OUTLINE FOR Chapter 2-2. Basic Laws

OUTLINE FOR Chapter 2-2. Basic Laws 0//8 OUTLINE FOR Chapr - AERODYNAMIC W-- Basc Laws Analss of an problm n fld mchancs ncssarl nclds samn of h basc laws gornng h fld moon. Th basc laws, whch applcabl o an fld, ar: Consraon of mass Conn

More information

Themes. Flexible exchange rates with inflation targeting. Expectations formation under flexible exchange rates

Themes. Flexible exchange rates with inflation targeting. Expectations formation under flexible exchange rates CHAPTER 25 THE OPEN ECONOMY WITH FLEXIBLE EXCHANGE RATES Thms Flxibl xchang ras wih inlaion arging Expcaions ormaion undr lxibl xchang ras Th AS-AD modl wih lxibl xchang ras Macroconomic adjusmn undr lxibl

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

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

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

The Science of Monetary Policy

The Science of Monetary Policy Th Scinc of Monary Policy. Inroducion o Topics of Sminar. Rviw: IS-LM, AD-AS wih an applicaion o currn monary policy in Japan 3. Monary Policy Sragy: Inrs Ra Ruls and Inflaion Targing (Svnsson EER) 4.

More information

Lucas Test is based on Euler s theorem which states that if n is any integer and a is coprime to n, then a φ(n) 1modn.

Lucas Test is based on Euler s theorem which states that if n is any integer and a is coprime to n, then a φ(n) 1modn. Modul 10 Addtonal Topcs 10.1 Lctur 1 Prambl: Dtrmnng whthr a gvn ntgr s prm or compost s known as prmalty tstng. Thr ar prmalty tsts whch mrly tll us whthr a gvn ntgr s prm or not, wthout gvng us th factors

More information

I) Title: Rational Expectations and Adaptive Learning. II) Contents: Introduction to Adaptive Learning

I) Title: Rational Expectations and Adaptive Learning. II) Contents: Introduction to Adaptive Learning I) Til: Raional Expcaions and Adapiv Larning II) Conns: Inroducion o Adapiv Larning III) Documnaion: - Basdvan, Olivir. (2003). Larning procss and raional xpcaions: an analysis using a small macroconomic

More information

"Science Stays True Here" Journal of Mathematics and Statistical Science, Volume 2016, Science Signpost Publishing

Science Stays True Here Journal of Mathematics and Statistical Science, Volume 2016, Science Signpost Publishing "Scnc Says r Hr" Jornal of Mahmacs and Sascal Scnc Volm 6 343-356 Scnc Sgnpos Pblshng Mhod for a Solon o Som Class of Qas-Sac Problms n Lnar Vscolascy hory as Appld o Problms of Lnar orson of a Prsmac

More information

Group Codes Define Over Dihedral Groups of Small Order

Group Codes Define Over Dihedral Groups of Small Order Malaysan Journal of Mathmatcal Scncs 7(S): 0- (0) Spcal Issu: Th rd Intrnatonal Confrnc on Cryptology & Computr Scurty 0 (CRYPTOLOGY0) MALAYSIA JOURAL OF MATHEMATICAL SCIECES Journal hompag: http://nspm.upm.du.my/ournal

More information

CSE 245: Computer Aided Circuit Simulation and Verification

CSE 245: Computer Aided Circuit Simulation and Verification CSE 45: Compur Aidd Circui Simulaion and Vrificaion Fall 4, Sp 8 Lcur : Dynamic Linar Sysm Oulin Tim Domain Analysis Sa Equaions RLC Nwork Analysis by Taylor Expansion Impuls Rspons in im domain Frquncy

More information

Lecture 14. Relic neutrinos Temperature at neutrino decoupling and today Effective degeneracy factor Neutrino mass limits Saha equation

Lecture 14. Relic neutrinos Temperature at neutrino decoupling and today Effective degeneracy factor Neutrino mass limits Saha equation Lctur Rlc nutrnos mpratur at nutrno dcoupln and today Effctv dnracy factor Nutrno mass lmts Saha quaton Physcal Cosmoloy Lnt 005 Rlc Nutrnos Nutrnos ar wakly ntractn partcls (lptons),,,,,,, typcal ractons

More information

CPSC 211 Data Structures & Implementations (c) Texas A&M University [ 259] B-Trees

CPSC 211 Data Structures & Implementations (c) Texas A&M University [ 259] B-Trees CPSC 211 Daa Srucurs & Implmnaions (c) Txas A&M Univrsiy [ 259] B-Trs Th AVL r and rd-black r allowd som variaion in h lnghs of h diffrn roo-o-laf pahs. An alrnaiv ida is o mak sur ha all roo-o-laf pahs

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

An Indian Journal FULL PAPER. Trade Science Inc. A stage-structured model of a single-species with density-dependent and birth pulses ABSTRACT

An Indian Journal FULL PAPER. Trade Science Inc. A stage-structured model of a single-species with density-dependent and birth pulses ABSTRACT [Typ x] [Typ x] [Typ x] ISSN : 974-7435 Volum 1 Issu 24 BioTchnology 214 An Indian Journal FULL PAPE BTAIJ, 1(24), 214 [15197-1521] A sag-srucurd modl of a singl-spcis wih dnsiy-dpndn and birh pulss LI

More information

Chapter 9 Review Questions

Chapter 9 Review Questions Chapr 9 Rviw Qusions. Using h - modl, show ha if marks clar and agns hav raional xpcaions hn mporary shocks canno hav prsisn ffcs on oupu. If marks clar and agns hav raional xpcaions hn mporary produciviy

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

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

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

Midterm exam 2, April 7, 2009 (solutions)

Midterm exam 2, April 7, 2009 (solutions) Univrsiy of Pnnsylvania Dparmn of Mahmaics Mah 26 Honors Calculus II Spring Smsr 29 Prof Grassi, TA Ashr Aul Midrm xam 2, April 7, 29 (soluions) 1 Wri a basis for h spac of pairs (u, v) of smooh funcions

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

Microscopic Flow Characteristics Time Headway - Distribution

Microscopic Flow Characteristics Time Headway - Distribution CE57: Traffic Flow Thory Spring 20 Wk 2 Modling Hadway Disribuion Microscopic Flow Characrisics Tim Hadway - Disribuion Tim Hadway Dfiniion Tim Hadway vrsus Gap Ahmd Abdl-Rahim Civil Enginring Dparmn,

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

Thermodynamic Properties of the Harmonic Oscillator and a Four Level System

Thermodynamic Properties of the Harmonic Oscillator and a Four Level System www.ccsn.org/apr Appld Physcs Rsarch Vol. 3, No. ; May Thrmodynamc Proprs of h Harmonc Oscllaor and a Four Lvl Sysm Oladunjoy A. Awoga Thorcal Physcs Group, Dparmn of Physcs, Unvrsy of Uyo, Uyo, Ngra E-mal:

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

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by D. Klain Vrsion 207.0.05 Corrctions and commnts ar wlcom. Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix A A k I + A + k!

More information

A MATHEMATICAL MODEL FOR NATURAL COOLING OF A CUP OF TEA

A MATHEMATICAL MODEL FOR NATURAL COOLING OF A CUP OF TEA MTHEMTICL MODEL FOR NTURL COOLING OF CUP OF TE 1 Mrs.D.Kalpana, 2 Mr.S.Dhvarajan 1 Snior Lcurr, Dparmn of Chmisry, PSB Polychnic Collg, Chnnai, India. 2 ssisan Profssor, Dparmn of Mahmaics, Dr.M.G.R Educaional

More information

THE SHORT-RUN AGGREGATE SUPPLY CURVE WITH A POSITIVE SLOPE. Based on EXPECTATIONS: Lecture. t t t t

THE SHORT-RUN AGGREGATE SUPPLY CURVE WITH A POSITIVE SLOPE. Based on EXPECTATIONS: Lecture. t t t t THE SHORT-RUN AGGREGATE SUL CURVE WITH A OSITIVE SLOE. Basd on EXECTATIONS: Lcur., 0. In Mankiw:, 0 Ths quaions sa ha oupu dvias from is naural ra whn h pric lvl dvias from h xpcd pric lvl. Th paramr a

More information

The Hyperelastic material is examined in this section.

The Hyperelastic material is examined in this section. 4. Hyprlastcty h Hyprlastc matral s xad n ths scton. 4..1 Consttutv Equatons h rat of chang of ntrnal nrgy W pr unt rfrnc volum s gvn by th strss powr, whch can b xprssd n a numbr of dffrnt ways (s 3.7.6):

More information

Chapter 7. Now, for 2) 1. 1, if z = 1, Thus, Eq. (7.20) holds

Chapter 7. Now, for 2) 1. 1, if z = 1, Thus, Eq. (7.20) holds Chapr 7, n, 7 Ipuls rspons of h ovng avrag flr s: h[, ohrws sn / / Is frquny rspons s: sn / Now, for a BR ransfr funon,, For h ovng-avrag flr, sn / W shall show by nduon ha sn / sn / sn /,, Now, for sn

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

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 0 Canoncal Transformaons (Chaper 9) Wha We Dd Las Tme Hamlon s Prncple n he Hamlonan formalsm Dervaon was smple δi δ Addonal end-pon consrans pq H( q, p, ) d 0 δ q ( ) δq ( ) δ

More information

The Matrix Exponential

The Matrix Exponential Th Matrix Exponntial (with xrciss) by Dan Klain Vrsion 28928 Corrctions and commnts ar wlcom Th Matrix Exponntial For ach n n complx matrix A, dfin th xponntial of A to b th matrix () A A k I + A + k!

More information