Yutaka Suzuki Faculty of Economics, Hosei University. Abstract

Size: px
Start display at page:

Download "Yutaka Suzuki Faculty of Economics, Hosei University. Abstract"

Transcription

1 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, and drv h Markov prfc qulbrum of h gam. Frmsf spcfc nvsmns for h currn prod affc h rlaonal skll (sa varabl) n h nx prod. Thrfor, frms dcd hr ndvdual nvsmn lvls akng no accoun hr mpac on sragc nracons from h nx prod onwards. y consdrng hypohcally h mpac of frmsf currn nvsmn dcsons n h nx prod only, and by gnorng subsqun prods, a usful undrsandng abou h rlaonshp bwn wo-prod and nfn horzon formulaons can b gand. W also compar h qulbrum ncnvs n boh wo-prod and nfn horzon formulaons, and nvsga h qulbrum comparav sacs and s mplcaons. Prlmnary rsuls rlad o hs rsarch wr prsnd a h Economrc ocy Norh Amrcan Wnr Mng, Washngon D.C., January 3 and a h Canadan Economc Thory Confrnc, Vancouvr, Canada, May 3. I would lk o hank ssson parcpans for usful commns. I also wsh o hank anford Unvrsy and Harvard Unvrsy for h smulang acadmc nvronmn and hospaly durng my vsng scholarshp n -3. Fnancal suppor for hs rsarch was provdd hrough a Gran-n-Ad for cnfc Rsarch by h Japan ocy for h Promoon of cnc (No. 7539). Caon: uzuk, Yuaka, (6) "Equlbrum ncnvs and accumulaon of rlaonal sklls n a dynamc modl of hold up." Economcs ulln, Vol., No. 7 pp. - ubmd: July 9, 6. Accpd: pmbr 9, 6. URL: hp://conomcsbulln.vandrbl.du/6/volum/e-6la.pdf

2 Equlbrum Incnvs and Accumulaon of Rlaonal klls n a Dynamc Modl of Hold up Yuaka uzuk Faculy of Economcs, Hos Unvrsy 434 Ahara, Machda-Cy, Tokyo 94-98, Japan E-Mal: yuaka@m.ama.hos.ac.jp Rvsd, Jun 4, 6 Absrac W consruc a dynamc modl of Holdup by applyng a framwork n capal accumulaon gams, and drv h Markov prfc qulbrum of h gam. Frms spcfc nvsmns for h currn prod affc h rlaonal skll (sa varabl) n h nx prod. Thrfor, frms dcd hr ndvdual nvsmn lvls akng no accoun hr mpac on sragc nracons from h nx prod onwards. y consdrng hypohcally h mpac of frms currn nvsmn dcsons n h nx prod only, and by gnorng subsqun prods, a usful undrsandng abou h rlaonshp bwn wo-prod and nfn horzon formulaons can b gand. W also compar h qulbrum ncnvs n boh wo-prod and nfn horzon formulaons, and nvsga h qulbrum comparav sacs and s mplcaons. Ky words: A Dynamc Modl of Hold up, Rlaon-pcfc Invsmns, Markov Prfc Equlbra, ragc Effc. JEL Classfcaon: C73, D3, L4 Prlmnary rsuls rlad o hs rsarch wr prsnd a h Economrc ocy Norh Amrcan Wnr Mng, Washngon D.C., January 3 and a h Canadan Economc Thory Confrnc, Vancouvr, Canada, May 3. I would lk o hank ssson parcpans for usful commns. I also wsh o hank anford Unvrsy and Harvard Unvrsy for h smulang acadmc nvronmn and hospaly durng my vsng scholarshp n -3. Fnancal suppor for hs rsarch was provdd hrough a Gran-n-Ad for cnfc Rsarch by h Japan ocy for h Promoon of cnc (No. 7539).

3 . Inroducon Konsh al. (996) analyzd h Holdup problm and s soluon n a framwork of fn-horzon connuous-m capal accumulaon gams. In hs papr, w consruc an nfn-horzon modl of Holdup, whr h sa varabl s h rlaonal skll a h bgnnng of a gvn prod, and solv for a Markov prfc Equlbrum. Frms dcd hr ndvdual nvsmn lvls akng no accoun hr mpac on sragc nracons from h nx prod onwards. y consdrng hypohcally h mpac of frms currn nvsmn dcsons only on hr sragc posons n h nx prod, n ohr words, gnorng ffcvly hos n h prods subsqun o h nx prod, w gan a usful undrsandng bwn wo-prod and nfn horzon formulaons. W also compar h qulbrum ncnvs n boh wo-prod and nfn horzon formulaons, and nvsga h qulbrum comparav sacs and s mplcaons.. A Dynamc Modl of Hold up. -up W consdr a dynamc gam nvolvng rlaon spcfc sklls and h Hold up problm. Thr ar wo pars: uyr and llr. Th wo pars m, x pos ladng o a blaral monopoly. nvss, and nvss. Th x pos rngoaon surplus s R( ) C( ), whr R ( ) >, C ( ) <. Ex pos hy rngoa ffcnly undr symmrc nformaon, dvdng h rngoaon surplus 5/5 (Nash arganng oluon). Gvn h currn lvl x of h rlaon spcfc skll and h nvsmn lvls and by playrs and a m prod, h dynamcs (h voluon of h sa varabl) s modld by: x = f x =,,,... whr w assum ha f ( ) = and s monoon ncrasng. W nrpr sa x as h common rlaonal skll (capal sock) lvl a m, o whch boh pars can accss, and h sa n h nx prod x + s gvn by h abov m-ndpndn uzuk (5) prforms almos h sam xrcs n an nfn horzon nrnaonal duopoly modl wh dumpng bhavor and an-dumpng laws.

4 funcon. Morovr, hr xss x > such ha for vry x > f ( x) < x.hnc, h sa spac a m prod + s X [ x ] x, w hav +,, rgardlss of nvsmn lvls and. Morovr, l us assum ha M = sup x < and w dno by X [, M] =, h s of fasbl sas. Playrs hav boundd maxmum nvsmn lvls,.. K x, =, In ach sag gam, wo playrs choos spcfc nvsmns as follows: o arg max U ( x,, ) = R( x, ) C( x, ) o arg max U ( x,, ) = R( x, ) C( x, ) W hav an undrnvsmn rsul, snc ach pary nrnalzs only 5% of s conrbuon o oal surplus, whl barng all nvsmns coss. In hs s-up, w dfn a funcon φ : E X whr EX,, whch has ngl Crossng Propry (CP) f ( x, ) φ xss and s srcly ncrasng n x X, for all. Th nuon s ha hghr x nducs h margnal bnfs of rasng,. Ths propry s calld suprmodulary. A ky rsul n monoon comparav sacs s ha whn h objcv funcon sasfs ngl Crossng Propry (CP), h maxmzrs ar ncrasng n h paramr valu. o, accordng o h horm of Topks (978) and Edln and hannon (998), supposng ha φ has CP, x > x and E ( x) = arg maxφ(, x), hn for any E( x ) and E( x ) E, >. Gvn ha by assumpon φ ( x, ) = R( x, ) and φ,, x = C x hav ngl Crossng Propry (CP), rsuls n h monooncy proprs of opmal soluons: E x < E x, whr x > x, =,. Nx, h payoffs for h Infn Horzon Gam ar: = δ U x,, =, whr δ [,) s a common dscoun facor. 3

5 . Equlbrum Concp: Markov Prfc Equlbra Th qulbrum concp ha w manly adop s a pur sragy Markov Prfc Equlbrum. Th sragy for playr =, s a squnc of maps of h form: whr ( ) x, x, =,,.., x s h Markov sragy of playr =, n ha srags dpnd only on spcfd sa varabls x. ( ) Dfnon A par of srags x, x, =,,.., s calld a Markov Prfc Equlbrum (MPE) of h dynamc gam f for vry fasbl sa x a m ( ) prod, w hav for vry fasbl par x, x, =,,.., (, ) δ, k k δ Uk k xk k xk Uk k xk k xk k= k= k k δ Uk k xk k xk Uk k xk k xk k= k= ( ) In summary, (, ) δ, x, x, =,,.. s sad o b a MPE f and only f for vry playr =, a vry sa x a m prod =,,, h playr would fnd no ncnv o dva from h qulbrum srags, as far as h ohr playr follows hm. In hs qulbrum concp, h play o follow afr vry sa x prscrbs a Nash qulbrum for h gam ha sars a x, whch s commonly rfrrd o as a subgam. In ha sns, snc h play off h qulbrum pah s crdbl, hs soluon concp s m conssn. Hnc, w can say ha a MPE s a subgam prfc Nash qulbrum, whr srags dpnd only on spcfd sa varabls. On h ohr hand, n Nash Equlbrum of h dynamc gam, ach playr =, comms hmslf o a fuur pah onc a h bgnnng of h gam, and no playr has an ncnv o dva by playng anohr fasbl pah from h nal sa x, as long as h ohr playr follows. Howvr, h play prarrangd afr som sa ohr han nal sa x may no consu a Nash qulbrum for h subgam ha sars a such a sa. Each playr gnors h voluon of h sa varabl n h gam and 4

6 dos no opmally rspond o ach sa x. Thus, n ordr o avod non-crdbl qulbra ha may no prscrb qulbrum play afr a subsqun sa x, w us MPE as h qulbrum concp..3 Dynamcs and Paramr p W assum ha h dynamcs s saonary and ndxd by a paramr p F. Morovr, h ndxng s such ha sasfs h followng monooncy propry: q p p q f x f x > > In words, h hghr h paramr, h hghr h accumulaon. On nrpraon s ha h acual shap of h dynamcs can vary for xampl, dpndng on whhr or no h skll accumulaon sysm s ffcn. 3. Analyss of h Gam 3. Equlbra n h ag Gam Th ndxng sasfs h sngl crossng propry, n h sns ha φ( x ) φ( x ) x > x = R ( x, ) > R ( x, ) = φ ( x ) φ ( x ) x > x = C ( x, ) > C ( x, ) = In words, h payoff funcon U x,,, =, sasfs h ngl Crossng Propry (CP) n x, snc h margnal payoff U, =, s monooncally j ncrasng n h paramr x. Thn, h bs rspons R, x,, j =,, j s j monooncally ncrasng n x for all, and hus h qulbrum s also monooncally ncrasng n x for all p. Thus, w oban h monooncy of h qulbrum oucoms: ( ) ( ) x > x op, x > op, x, =, 3. Two-Prod Formulaon 5

7 In h wo-prod vrson of h modl, Playr s problm (for = ) can b dfnd as: whr (, ) max,, δ ( ) V x p = U x x + V f x + + x p ( ( )) V f x + + x = max U ( x,, x ): = R( x, ) C( x, ( x )) p = + + dnos h lvl of h sa varabl n prod =. and x f p ( x ) Dffrnang V wh rspc o ylds: V = R x, d ( x ) + δ f ( x + + ( x )) R ( x, ( x )) C ( x, ( x )) (, C x ( x ) ) = () p Th nvlop horm was usd n h drvaon. Th raonal s as follows. An ncras n Playr s currn nvsmn ncrass h rlaonal skll (sa varabl) n h nx prod x, whch brngs abou a posv drc ffc, corrspondng o h frs rm R ( x, ( x) ) C ( x, ( x) ). cond, an ncras n smlarly ncrass x n h nx prod, whch nducs n qulbrum lss aggrssv (passv) bhavor by Playr, whch n urn wll ncras h prof of Playr. Ths s a posv sragc ffc, corrspondng o h scond rm C x, ( x ) d x ( ). No ha hs sragc ffc dos no xs n h Nash qulbrum of h wo-prod (mor gnrally, dynamc) gam. Playr s problm n h Two Prod Formulaon can b analyzd smlarly. Appn. Thus, w hav h followng proposon: Proposon : In h Two-Prod Formulaon, h frs prod nvsmns n h Markov Prfc Equlbrum ar grar han hos n h Nash Equlbrum, du o h posv sragc ffcs. 6

8 3.3 Infn Horzon Formulaon V = V a upl of valu funcon V : X Rassgnng a valu o = L, ach sa x of h gam. Frs, w look a Playr s rcursv formulaon of hs dcson problm. (, ) max,, δ ( ) V x p = U x x + V f x+ + x p whr V s h connuaon valu funcon for Playr, whch should b h sam across m, and should b wrn whou a m scrp. Gvn h connuy of h valu funcon V, =,, whch w rfr o as h connuy of h gam, h frs ordr condon for h maxmzaon s gvn by: R ( x, ) + δ V ( x) f p ( x+ + ( x) ) = whch gvs us h funcon x.thn, follows from h nvlop horm ha ( ) (,, ) δ p V x du x x x d V f x x x = ( x) d = R ( x, ( x) ) C ( x, ( x) ) C (, ) x x p d + δv ( f ( x+ ( x) + ( x) )) f p ( x+ ( x) + ( x) ) + Th las rm on h rgh hand sd of hs quaon shows ha h currn valu of h sa varabl x affcs h connuaon valu from h nx prod hrough s own ncras n x and h ohr Playr s nvsmn lvl. Now, suppos hypohcally ha h currn valu of h sa varabl dd no drcly affc h valuaon from h nx prod so ha h scond rm would dsappar. Thus, w hav = (,, ) V x du x x x = R ( x, ( x) ) C x, ( x) C x, x ( ) whch only capurs h ffcs of h sa varabl on sragc nracons n h nx prod, ha s, h drc ffc and sragc ffc n h IO lraur ala Trol (988). d ( x) ( x) 7

9 Thn, lng x dno h lvl of h sa varabl n h nx prod, w hav from h abov quaons R ( x, ( x) ) + δ V ( x ) f p ( x + ( x) + ( x) ) = R ( x, ( x) ) d ( x ) + δ f p ( x+ ( x) + ( x) ) R ( x, ( x )) C ( x, ( x )) C ( x, ( x )) = whch s nohng bu quaon () of h Two-Prod modl. Playr s problm n Infn Horzon Formulaon can also b analyzd smlarly. Appn In h Infn Horzon framwork, h dynamc ffcs, conssng of h posv drc and sragc ffcs, ar monooncally srnghnd. Hnc, w hav a proposon on h comparson bwn h qulbrum ncnvs n Two-Prod Framwork, p x, =, and hos n Infn Horzon Framwork p ( x), =,. Proposon: As for h qulbrum nvsmns, p x >, p x, =, hold. Now, w can s ha h ncras n p wll hav posv ffcs on h nvlops of V n x. Ths s xacly h complmnars n h valu funcons. Ths argumn holds also for Playr s dcson problm. Thus, w can ordr h gradns of h qulbrum funcon ( x) p for =, as p changs. Th qulbrum ncnvs wll b monooncally ncrasng n p for all x. Hnc, w hav h followng conjcur. Conjcur: In h saonary Markov Prfc Equlbrum, h qulbrum ncnvs ar monooncally ncrasng n p F,.., p > q ( x) > ( x), =,. p q On nrpraon s ha w can vw p as an ffcn skll accumulaon sysm, such as n Toyoa, whl q as anohr lss ffcn on, and ha as h accumulaon of rlaonal skll s mor ffcn: ha s p > q, h qulbrum spcfc nvsmns and h rlaonal skll wll bcom grar, n h saonary Markov Prfc Equlbrum. 8

10 REFERENCE Edln, A and hannon, C (998) rc Monooncy n Comparav acs, Journal of Economc Thory, 8, July, -9. Konsh, H., M.Okuno-Fujwara., and Y.uzuk. (996), Compon hrough Endognzd Tournamns: an Inrpraon of Fac-o-Fac Compon Journal of h Japans and Inrnaonal Economs., uzuk, Y (5) "Dumpng havor and An-Dumpng Laws n Inrnaonal Duopoly: A No on Infn Horzon Formulaon", Journal of Economc Rsarch Topks, D. (978) Mnmzng a submodular funcon on a lac, Opraons Rsarch, 6(), Trol, J (988) Thory of Indusral Organzaon. Cambrdg MA., MIT Prss. Appn Playr s problm n h Two Prod Formulaon Playr s problm can b wrn smlarly, for som arbrary prod, =, as: (, ) max,, δ ( ) V x p = U x x + V f x + + x p whr V ( f ( x + + ( x ))) = max U ( x,, ( x )): = R( x, ( x )) C( x, ) p and x f p ( x ) = + + dnos h lvl of h sa varabl n prod =. Dffrnang V wh rspc o ylds: V = C ( x, ) d ( x ) + δ f p ( x + + ( x )) R x ( x ) C x x + R x x = (, ) (, ) (, ) () Th nvlop horm was mad us of n h drvaon. Th raonal s as follows. Frs, an ncras n Playr s currn nvsmn ncrass h rlaonal skll n h nx prod x, whch brngs abou a posv drc ffc, corrspondng o h 9

11 R ( x, x ) C ( x, ( x) ). cond, an ncras n smlarly frs rm ncrass x n h nx prod, whch nducs n qulbrum lss aggrssv (passv) bhavor by Playr, whch wll ncras h prof of Playr. Ths s a posv sragc ffc, whch corrsponds o h scond rm R x, ( x ) d x ( ). Appn Playr s dcson problm n h Infn Horzon Formulaon Thn, w look a Playr s rcursv formulaon of hs dcson problm. (, ) max,, δ ( ) p V x p = U x x + V f x + + x whr V s h connuaon valu funcon for Playr. Gvn h connuy of h valu funcon V, =,, whch w rfr o as h connuy of h gam, h frs ordr condon for h maxmzaon s gvn by: C ( x, ) + δ V ( x) f p ( x + + ( x )) = whch gvs us h funcon x.thn, follows from h nvlop horm ha (,, ) δ ( ) d ( x ) R x, ( x ) C x, x R x, x p V x du x x x d V f x x x = = ( ) ( ) + p d + δv ( f ( x + ( x ) + ( x ))) f p ( x + ( x ) + ( x )) + ( x ) Th las rm n h rgh-hand sd of hs quaon shows ha h currn valu of h sa varabl x affcs h connuaon valu from h nx prod hrough s own ncras n x and h ohr Playr s nvsmn lvl. Now, suppos hypohcally ha h currn valu of h sa varabl dd no drcly affc h valuaon from h nx prod so ha h scond rm would dsappar. Tha s, w hav

12 = (,, ) V x du x x x = R ( x, ( x )) C x, ( x ) R x, x + ( ) d ( x ) whch only capurs h ffcs of h sa varabl on sragc nracons n h nx prod, n ohr words, h drc ffc and sragc ffc n h sandard IO lraur ala Trol (988). Thn, lng x dno h lvl of h sa varabl n h nx prod, w hav from h abov quaons C ( x, ( x) ) + δ V ( x ) f p ( x + ( x) + ( x) ) = C ( x, ( x) ) d ( x ) + δ f p ( x+ ( x) + ( x) ) R ( x, ( x )) C ( x, ( x )) + R ( x, ( x )) = whch s nohng bu quaon () of h modl.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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 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

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

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

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

A Differential Game Approach to Adoption of Conservation Practices

A Differential Game Approach to Adoption of Conservation Practices A Dffrnal Gam Aroach o Adoon of Consrvaon Praccs Jo L. Parcll Profssor Darmn of Agrculural and Ald Economcs Unvrsy of Mssour Columba, MO 65211 arcll@mssour.du and Halu Gdoglu Asssan Profssor of Agrculural

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

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

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

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

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

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

Political Economy of Institutions and Development: Problem Set 2 Due Date: Thursday, March 15, 2019.

Political Economy of Institutions and Development: Problem Set 2 Due Date: Thursday, March 15, 2019. Polcal Economy of Insuons and Developmen: 14.773 Problem Se 2 Due Dae: Thursday, March 15, 2019. Please answer Quesons 1, 2 and 3. Queson 1 Consder an nfne-horzon dynamc game beween wo groups, an ele and

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

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

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

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

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

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

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

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

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

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

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

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

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

Analysis of influential factors responsible for the effect of tax reduction on GDP

Analysis of influential factors responsible for the effect of tax reduction on GDP Analyss of nflunal facors rsponsbl for h ffc of ax rducon on GDP Shgak Ogbayash, Kous Takashma and Yuhsuk Koyama 3, School of Socal Sysms Scnc, Chba Insu of Tchnology, Chba 75-006, Japan. shgak.ogbayash@-chba.ac.jp,

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

Phys463.nb Conductivity. Another equivalent definition of the Fermi velocity is

Phys463.nb Conductivity. Another equivalent definition of the Fermi velocity is 39 Anohr quival dfiniion of h Fri vlociy is pf vf (6.4) If h rgy is a quadraic funcion of k H k L, hs wo dfiniions ar idical. If is NOT a quadraic funcion of k (which could happ as will b discussd in h

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

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

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

(,,, ) (,,, ). 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

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

(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

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

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

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

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon

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

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

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

arxiv: v1 [math.ap] 16 Apr 2016

arxiv: v1 [math.ap] 16 Apr 2016 Th Cauchy problm for a combuson modl n porous mda J. C. da Moa M. M. Sanos. A. Sanos arxv:64.4798v [mah.ap] 6 Apr 6 Absrac W prov h xsnc of a global soluon o h Cauchy problm for a nonlnar racon-dffuson

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

Epistemic Game Theory: Online Appendix

Epistemic Game Theory: Online Appendix Epsemc Game Theory: Onlne Appendx Edde Dekel Lucano Pomao Marcano Snscalch July 18, 2014 Prelmnares Fx a fne ype srucure T I, S, T, β I and a probably µ S T. Le T µ I, S, T µ, βµ I be a ype srucure ha

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

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

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

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

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

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

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

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

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

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

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

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

Folding of Regular CW-Complexes

Folding of Regular CW-Complexes Ald Mathmatcal Scncs, Vol. 6,, no. 83, 437-446 Foldng of Rgular CW-Comlxs E. M. El-Kholy and S N. Daoud,3. Dartmnt of Mathmatcs, Faculty of Scnc Tanta Unvrsty,Tanta,Egyt. Dartmnt of Mathmatcs, Faculty

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

Applied Statistics and Probability for Engineers, 6 th edition October 17, 2016

Applied Statistics and Probability for Engineers, 6 th edition October 17, 2016 Applid Saisics and robabiliy for Enginrs, 6 h diion Ocobr 7, 6 CHATER Scion - -. a d. 679.. b. d. 88 c d d d. 987 d. 98 f d.. Thn, = ln. =. g d.. Thn, = ln.9 =.. -7. a., by symmry. b.. d...6. 7.. c...

More information

Solution in semi infinite diffusion couples (error function analysis)

Solution in semi infinite diffusion couples (error function analysis) Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of

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

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

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

Oligopoly with exhaustible resource input

Oligopoly with exhaustible resource input Olgopoly wh exhausble resource npu e, P-Y. 78 Olgopoly wh exhausble resource npu Recebmeno dos orgnas: 25/03/202 Aceação para publcação: 3/0/203 Pu-yan e PhD em Scences pela Chnese Academy of Scence Insução:

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

Analyzing Frequencies

Analyzing Frequencies Frquncy (# ndvduals) Frquncy (# ndvduals) /3/16 H o : No dffrnc n obsrvd sz frquncs and that prdctd by growth modl How would you analyz ths data? 15 Obsrvd Numbr 15 Expctd Numbr from growth modl 1 1 5

More information

Anouncements. Conjugate Gradients. Steepest Descent. Outline. Steepest Descent. Steepest Descent

Anouncements. Conjugate Gradients. Steepest Descent. Outline. Steepest Descent. Steepest Descent oucms Couga Gas Mchal Kazha (6.657) Ifomao abou h Sma (6.757) hav b pos ol: hp://www.cs.hu.u/~msha Tch Spcs: o M o Tusay afoo. o Two paps scuss ach w. o Vos fo w s caa paps u by Thusay vg. Oul Rvw of Sps

More information

Salim Hamad Suleiman * Najat Nassor Suleiman Ministry of Trade, Industry and Marketing, PO box 601, Migombani, Zanzibar

Salim Hamad Suleiman * Najat Nassor Suleiman Ministry of Trade, Industry and Marketing, PO box 601, Migombani, Zanzibar Journal of Economcs and Susanabl Dvlopmn ISS -700 (Papr) ISS -855 (Onln) Vol.8 o.0 07 www.s.org rad Opnnss and Economc Growh n Eas Afrcan Communy (EAC) Mmbr Counrs Salm Hamad Sulman aja assor Sulman Mnsry

More information

Surface Impedance of Superconductors and Normal Conductors in EM Simulators 1

Surface Impedance of Superconductors and Normal Conductors in EM Simulators 1 hp://wwwmmanraodu/mmos/hml-mmos/mma45/mmo45pdf MMA Mmo No 45 Surfac Impdanc of Suprconducors and Normal Conducors n EM Smulaors 1 A R Krr January 7, 1999 (Rvsd Augus 9, 1999) Th concp of surfac mpdanc

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

MECE 3320 Measurements & Instrumentation. Static and Dynamic Characteristics of Signals

MECE 3320 Measurements & Instrumentation. Static and Dynamic Characteristics of Signals MECE 330 MECE 330 Masurms & Isrumao Sac ad Damc Characrscs of Sgals Dr. Isaac Chouapall Dparm of Mchacal Egrg Uvrs of Txas Pa Amrca MECE 330 Sgal Cocps A sgal s h phscal formao abou a masurd varabl bg

More information

General Article Application of differential equation in L-R and C-R circuit analysis by classical method. Abstract

General Article Application of differential equation in L-R and C-R circuit analysis by classical method. Abstract Applicaion of Diffrnial... Gnral Aricl Applicaion of diffrnial uaion in - and C- circui analysis by classical mhod. ajndra Prasad gmi curr, Dparmn of Mahmaics, P.N. Campus, Pokhara Email: rajndraprasadrgmi@yahoo.com

More information