Economic integration and agglomeration in a customs union in the presence of an outside region

Size: px
Start display at page:

Download "Economic integration and agglomeration in a customs union in the presence of an outside region"

Transcription

1 Deprmen of Economics Working Pper No. 46 Economic inegrion nd gglomerion in cusoms union in he presence of n ouside region Psqule Commendore Ingrid Kubin Crmelo Pergli Iryn Sushko Ocober 0

2 ECONOMIC INTEGRATION AND AGGLOMERATION IN A CUSTOMS UN- ION IN THE PRESENCE OF AN OUTSIDE REGION Psqule Commendore (Universiy of Nples Federico II, Ily) Ingrid Kubin (Vienn Universiy of Economics nd Business Adminisrion) Crmelo Pergli (Universiy of Bsilic, Ily) Iryn Sushko (Insiue of Mhemics, Nionl Acdemy of Sciences of Ukrine) Ocober 0 ABSTRACT: New Economic Geogrphy (NEG) models do no ypiclly ccoun for he presence of regions oher hn he ones involved in he inegrion process. We explore such possibiliy in Fooloose Enrepreneur (FE) model iming sudying he sbiliy properies of long-run indusril locion equilibri. We consider world economy composed by cusoms union of wo regions (regions nd ) nd n ouside region which cn be regrded s he res of he world (region ). The effecs of economic inegrion on indusril gglomerion wihin he cusoms union re sudied under he ssumpion of consn disnce beween he cusoms union iself nd he hird region. The resuls show h higher economic inegrion does no lwys implies he sndrd resul of full gglomerion of FE models. This incomplee gglomerion oucome is due o he fc h he periphery region keeps shre of indusril civiies in order o sisfy shre of exernl demnd. Th is, he deindusrilizion process brough bou by economic inegrion in he periphery of he union is miiged by he demnd of consumers living in he res of he world. In generl, he mrke size of he hird region ffecs he number of he long-run equilibri, s well s heir sbiliy properies. In ddiion o he sndrd oucomes of FE models, we describe he exisence of wo symmeric equilibri chrcerised by unequl disribuion of firms beween regions nd, wih no full gglomerion hough. Ineresingly, hese equilibri re sble nd herefore cn be regrded s likely long-run equilibrium se of he economy. Keywords: indusril gglomerion, hree-region NEG models, fooloose enrepreneurs. JEL clssificion: C6, F, F, R.

3 . Inroducion Will furher economic inegrion increse or reduce regionl dispriies? This is one of he core quesions in Europen policy discussions. The nlysis of inegrion res is one of he clssicl opics in rde heory (for n overview see, e.g., Krishn, 008); however, in he following we pply New Economic Geogrphy (NEG) frmework, since wih is emphsis on endogenous gglomerion processes i seems o be priculrly suied o nlyse he effecs on regionl dispriies. Economic inegrion represened by reducion in rde cos influences he blnce beween cenripel nd cenrifugl forces nd depending upon which force previl he long-run he spil disribuion of economic civiy my differ. Typiclly, NEG models llow for wo sndrd long-run oucomes: n equl disribuion of he mnufcuring civiy beween he regions or, wih sufficien reducion of rde coss, full gglomerion in one of he wo regions (see, for reviews, Fuji e l., 999; nd Bldwin e l., 00). The nlyic srucure of NEG models is inrinsiclly complex, herefore mny NEG models re cully confined o he nlysis of wo regions. However, for comprehensive sudy of inegrion res his is no sufficien: one hs o differenie les beween wo regions inside he inegrion re nd one region ouside. So fr smll srnd of lierure hs developed hree-region models hough. Wihin his lierure, Pluzie (00) shows h reducion in he exernl rde cos srenghens he gglomerive forces in he home counry wih wo regions. Similr resuls re pu forwrd by Alonso-Villr (999, 00), nd Monfor nd Nicolini (000). In conrs, Krugmn nd Livs Elizondo (996) rgue h reducion in he inernionl rnspor cos my fvour dispersion of economic civiy beween he wo regions in he home counry (in heir model he domesic dispersion force is due o lnd ren nd commuing coss nd is hus exogenous nd independen of rde coss). Brülhr e l. (004) nd Croze nd Koenig-Soubeyrn (004) inroduce more geogrphicl srucure ino he nlysis, s hey ssume h one of he home regions is border region, i.e. h i hs lower rnspor cos wr he ouside region hn he oher home region. Also in his frmework, reducion of he inernionl rnspor cos fvours gglomerion in he wo-regions home counry; in priculr (bu no lwys), gglomerion in he border region. Ineresingly, Brülhr e l. (004) poin ou h he size of he hird region mers for he resuls. Tking closer look o he bove menioned conribuions revels h hese sudies only ddress one pr of he issues hnd s hey only nlyse he effecs of closer inegrion wih he res of he world; however, neglecing he effecs of closer inegrion wihin he

4 inegrion re. In our pper, we re focussing on he ler issue while deliberely neglecing he former. We explore he effecs of rde inegrion beween wo (symmeric, home) regions ( nd ) in he presence of hird region (region ), h is upon consrucion mere ouside region. As firs resul we show h our consrucion implies h rnspor cos wih he hird region do no mer. Neverheless, he hird counry is imporn s (ouside) mrke nd is size influences he blnce beween cenripel nd cenrifugl forces beween he wo counries/regions inside he inegrion re. To pu i differenly: The effecs of rde liberlision beween he wo counries inside he inegrion re will depend upon he size of he hird region, upon he impornce of he ouside links for he inegrion re. In priculr, we show h wih n increse of he size of hird region he symmeric equilibrium beween he wo regions/counries wihin he inegrion re loses sbiliy lower vlue of he rde freeness inside he inegrion re. To pu i differenly: Sronger ouside links fvour gglomerion wihin he inegrion re. In ddiion, nd his is our min resul, we show h he size of he hird region lso influences wh hppens, if he symmeric equilibrium is unsble. Wih insbiliy, fcor mobiliy ses in leding o symmeries in he fcor llocion; his symmery chnges iself he srengh of he gglomerive nd deglomerive forces nd we show nlyiclly h for smller hird region he gglomerive forces ouweigh he deglomerive forces leding o full gglomerion in one of he regions inside he inegrion re; insed, for bigger hird region, symmeries weken he gglomerive processes nd srenghen he deglomerive forces nd inerior symmeric equilibr cn be esblished. This resul is imporn, firs, becuse i shows h even if wih reducion of rde coss wih he inegrion re he symmeric equilibrium loses sbiliy (s found lso in he ppers reviewed bove), he long-run oucome need no be full gglomerion, bu my lso be pril gglomerion (hus reducion of rde coss does no led o exreme regionl disperion). Second, he resul is imporn becuse i is one of he rre exmples in he NEG lierure h produces pril gglomerion s he oucome of n endogenous process. The reminder of he pper is orgnized s follows. Secion presens he bsic frmework of he model. In secion we chrcerize he shor-run equilibrium. Secion 4 dels wih our

5 complee dynmicl model, whose locl sbiliy properies re sudied in secion 5. Secion 6 repors preliminry resuls on globl dynmics. Secion 7 concludes.. Bsic frmework The economic sysem is composed of hree regions (r =,, ) nd wo secors. The rdiionl or griculurl secor (A) is loced in ll hree regions, wheres he mnufcuring secor (M) cn be loclised mos in wo regions (s =, ). Producion involves he use of wo fcors of producion, unskilled lbour (L) nd enrepreneurs (N). In he overll economy, he moun of unskilled lbour is L: shre is eqully disribued beween he mnufcuring regions nd nd he res is loced in region (he region wihou mnufcure), i.e. = = nd =. Unskilled lbour does no migre; he N exising enrepreneurs, insed, re mobile beween regions nd. Assuming h unskilled workers nd enrepreneurs possess he sme ses, we wrie he represenive consumer s uiliy funcion s follows: U = C C () µ µ A M where C A nd C M correspond o he consumpion of he homogeneous griculurl good nd of composie of mnufcured goods: C M n i= σ σ i = d () where d i is he consumpion of good i, n is he ol number of mnufcured goods nd σ > is he consn elsiciy of subsiuion; he lower σ, he greer he consumers se for vriey. The exponens in he uiliy funcion µ nd µ indice, respecively, he invrin shres of disposble income devoed o he griculurl nd mnufcured goods, wih 0 < µ <. Only lbour is used in he producion of he homogeneous griculurl good. One uni of (unskilled) lbour is used o produce one uni of he griculurl oupu, so h consn reurns previls. Moreover, we ssume h none of he regions hs enough lbour o engge 4

6 exclusively in he producion of he griculurl good, he so-clled non-full-specilizion condiion. The mnufcuring secors involve monopolisic compeiion s modelled by Dixi-Sigliz (977). In our conex, ech firm requires fixed inpu of n enrepreneur o opere nd β unis of unskilled lbour for ech uni produced. Since one enrepreneur is needed for ech firm, he ol number of firms lwys equls he ol number of enrepreneurs. Moreover, becuse of consumers preference for vriey nd incresing reurns in producion, firm would lwys produce vriey differen from hose produced by oher firms. I follows h he number of vrieies lwys equls he number of firms. Denoing he shre of enrepreneurs loced in region in period by λ nd by N he ol number of enrepreneurs, he number of regionl vrieies produced in period in region nd re n, = λn n, = ( λ) N () where 0 λ nd where, by ssumpion, no mnufcuring civiy occurs in region. Trnsporion of he griculurl produc beween regions is cosless. Trnspor coss for mnufcures ke n iceberg form: if one uni is shipped from region s o region r only T rs rrives, where Trs, r =,, nd s =,. Region nd re involved in rde greemen wheres he economic inegrion wih region is less deep. We model his spil rrngemen s follows: he hree regions re loced on he verices of isosceles ringle 5

7 Figure The disnce (rde brriers) beween regions nd is S (shor); he disnce beween nd nd nd is he sme nd is equl o L (long). Trnspor coss beween regions nd re T = T, S nd beween regions nd nd regions nd re T = T = TL wheret > T. Finlly, in order o simplify he noion, we inroduce he following rde L S freeness prmeers: φ = φ S, φ φ φl = =, where φ nd S T σ S φ nd where L T σ L φ < φ. L S. Shor-run generl equilibrium The shor-run equilibrium in period is chrcerized by given spil llocion of enrepreneurs cross he regions, λ r,. In shor-run generl equilibrium, which is esblished insnneously in ech period, supply equls demnd for he griculurl commodiy nd 6

8 ech mnufcurer mees he demnd for is vriey. As resul of Wlrs s lw, simulneously equilibrium in he produc mrkes implies equilibrium in he regionl lbour mrkes. Wih zero rnspor coss, he griculurl price is he sme cross regions. Denoing by Y he income of he overll economy, h (s confirmed below) is invrin over ime, ol expendiure on he griculurl produc is ( µ )Y. Assuming ( µ ) Y > mx L, L ll regions produce he griculurl commodiy, wheres ( µ ) Y > mx L, ( ) L implies h no single region is ble o sisfy ll he demnd for he griculurl good. Since compeiion resuls in zero griculurl profis, he shor-run equilibrium nominl wge in period is equl o he griculurl produc price nd herefore is lwys he sme cross regions. Seing his wge/griculurl price equl o, i becomes he numerire in erms of which he oher prices re defined. Fcing wge of, ech mnufcurer hs mrginl cos of β. Ech mximizes profi on he bsis of perceived price elsiciy of σ nd ses locl (mill) price p for is vriey, given by σ p = β σ (4) The effecive price pid by consumers in region r for vriey produced in region s is The regionl mnufcuring price index fcing consumers in region r is given by pt rs. σ σ σ r, = s rs s= P np T Under our ssumpions, we cn wrie σ σ σ σ, = + ( S ) P np np T σ σ σ σ, = + ( S ) P np T np σ σ σ σ σ, = L + L ( ) P n p T n p T nd herefore 7

9 σ σ r, r, P = N p (5) where, = λ + φs( λ),, = φλ S + λ,, = φl. The demnd fcing producer loced in region s is d Y P T p s P T Yp σ σ σ σ σ σ s, = µ r, r, rs = r, r, rs µ r= r= (6) We cn wrie: ( ) d = s P + s P T + s P T µ Yp d σ σ σ σ σ σ,,,,,,, s, s, s σ, σ µ Yp = + TS + TL,,, N s, s, s, µ Yp = + φs + φl,,, N s, s, µ Yp = + φs + s,,, N = ( s P T + s P + s P T ) µ Yp σ σ σ σ σ σ,,,,,,, s, s, s σ, σ µ Yp = TS + + TL,,, N s, s, s, µ Yp = + φs + φl,,, N s, s, µ Yp = + φs + s,,, N (7) where Y r, represens income nd expendiure in region r in period, sr, Yr, Y denoes region r s shre in expendiure in period nd r =,,. Shor-run generl equilibrium in region s requires h ech firm mees he demnd for is vriey. For vriey produced in region s, x = d (8) s, s, 8

10 where x s, is he oupu of ech firm loced in region s. From equion (4), he shor-run equilibrium opering profi per vriey/enrepreneur in region s is π px s, s, = pxs, βxs, = (9) σ Since profi equls he vlue of sles imes σ nd since ol expendiure on mnufcurers is µ Y, he ol profi received by enrepreneurs is µ Y σ. Tol income is Y = L+ ( µσ) Y, so h Y σ L = σ µ (0) Tol profi is herefore µ L ( σ µ ). Equion (0) confirms h ol income is invrin over ime. From (0), ( µ ) Y > mx L, L is equivlen o ( µ + σ µσ ( ) µ + σ µσ ) > ; nd ( µ ) > mx, ( ) min ( ), 0 equivlen o ( µ σ µσ ( ) µ σ µσ ) Y L L is min + ( ), + > 0.The former is (sufficien) non-full-specilizion condiion nd he ler is necessry one, where boh re expressed in erms of he uiliy prmeers. Using (4) o (0), he shor-run equilibrium profi in region s is deermined by he spil disribuion of enrepreneurs nd he regionl expendiure shres: σ σ σ p σ σ µ Y s, = Yr, Pr, Trs = sr, Pr, rs p r= σ r= σ π µ φ Under our ssumpions on rde coss cross regions, we cn wrie σ σ σ σ µ Y, = s, P, + s, P, S + s, P, L p ( ) π φ φ σ σ σ σ µ Y, = s, P, S + s, P, + s, P, L p ( ) π φ φ σ σ 9

11 or, lernively: µ Y s, s, s, µ Y s, s, π, = + φs + φl = + φs + s, () σn,,, σn λ + φs( λ) φλ S + λ µ Y s, s, s, µ Y s, s, π, = φs + + φl = φs + + s, () σn,,, σn λ + φs( λ) φλ S + λ Regionl incomes/expendiures re Y = L+ λ Nπ,, () Y = L+ ( λ ) Nπ,, (4) Y, ( ) = L (5) Y L λ Nπ Y Y Y,, = s = + (6) Y L λ Nπ σ µ µ s s,,,, = s, = + = + λ, + φs + s, Y Y Y σ σ,, (7) Y L ( λ ) Nπ σ µ µ s s,,,, = s, ( ) = + = + λ φs + + s, Y Y Y σ σ,, (8) Y, Y ( ) L σ µ = s, = = ( ) (9) Y σ Using (7) o (9) nd king ino ccoun h s, = s, s,, he shres in s, nd s,, cn be expressed in erms of λ : 0

12 s, σ µ µφsλ σ µ φ S + ( ) σ µλ, σ, = φ S σ µλ,, (0) s, ( ) σ µ µφs λ σ µ φ S + ( ) σ µ ( λ ), σ, = φ S σ µ ( λ ),, () Given h he griculurl price is, he rel income of n enrepreneur in region s is: ω s, πs, P µ s, = () Given h he hree regions shres in ol expendiure do no depend on φ L, from () nd () king ino ccoun (9), (0) nd (), we cn derive he following proposiion: Proposiion. Profi differenils re no ffeced by he disnce of region nd region from region. Therefore, chnge of he disnce of region nd/or region from region hs no impc on opering profis. This is becuse he demnd for he mnufcured goods is uniry elsic: he chnge in rde coss, vi φ L, deermines proporionl chnge in he price index in region nd similr bu inversely proporionl chnge in he quniy demnded, so he overll chnge of expendiures on mnufcuring in his region is zero. This is lso becuse, since region does no produce mnufcured vrieies chnge in φ L does no impc on price indices in region nd. This is resul h follows from our simple se-up, he ssumpions of CES subuiliy funcion for mnufcured goods nd no mnufcuring producion in region : chnge in rnspor coss owrds he ouside region hs no effec.

13 4. The enrepreneuril migrion hypohesis nd he complee dynmicl model The cenrl dynmic equion is bsed on he replicor dynmics, widely used in evoluionry gme heory: M ( ) ( ) ( ) ( ) T ( ) ω, λω, + λ ω, T λ λ = λ + γ = λ + γ ( λ) λω, + λ ω, + λ λ () where γ represens he migrion speed nd where T ( λ ) ω, =. According o (), he ω shre of enrepreneurs in region, M ( λ ), depends on comprison beween he rel income gined in h region nd he weighed verge of he incomes in region nd. Tking ino ccoun he consrin, 0, he complee dynmicl model is represened by he following piecewise smooh one-dimensionl mp: λ, 0 if M ( λ ) < 0 λ+ = Λ ( λ) = M ( λ) if 0 M ( λ) if M ( λ ) > (4) A long-run sionry equilibrium involves * * Λ ( λ ) = λ, where poin of he mp (5). There re hree ypes of fixed poins: * λ represens so-clled fixed i) he Core-Periphery equilibri re chrcerized by full gglomerion of mnufcuring in one region. These re: CP(0) λ = 0, corresponding o complee gglomerion in region, which gives M (0) = 0 ; nd gives M () =. CP λ () =, corresponding o full gglomerion in region, which ii) he symmeric equilibrium is chrcerized by n equl spli of he mnufcuring secor * beween regions nd : λ =, h gives M = nd 0 T = ; iii) he symmeric equilibri re chrcerized by incomplee gglomerion in one of he wo regions of he cusoms union, wih some indusry sill presen in he oher region. The following cses re possible:

14 Cse : no symmeric fixed poin exiss. Cse : wo symmeric fixed poins exis which re symmeric round /: λ, λ ; Cse : four symmeric fixed poins exis h re symmeric wo by wo round /: b b λ nd λ, λ. λ, These equilibri re obined by solving M ( λ i ) = λ i i i nd M ( λ ) = λ, corresponding o i i T ( λ ) = 0 nd T ( λ ) = 0, where i =, b. 5. Exisence nd locl sbiliy of sionry equilibri In his secion, we explore he locl sbiliy nlysis of he fixed poins lised bove. Due o he symmery of he mp Λ ( λ ), generl propery is h ech equilibrium (sionry, periodic or periodic) is symmeric o iself or noher equilibrium exiss h is symmeric o such equilibrium round o ; similrly, he bsins of rcion of ech equilibrium, s well s ny oher invrin se, lso enjoy his symmeric propery. In wh follows, his symmeric rule is pplied o he fixed poins (sionry equilibri) of he mp Λ ( λ ). We find he locl sbiliy properies of he CP equilibri CP λ () = nd CP(0) λ = 0, by evluing he one-side eigenvlues of he mp M ( λ ) in correspondence of hese equilibri: ( ) ( ) T < M ( ) = γ < + T, M ( ) γt( ) 0< 0 = + 0 < 0 From which 0 < T () <, γ < T (0) < 0, γ We explore he sbiliy properies of he CP equilibrium he oher CP equilibrium by symmery. CP λ () =. The sme resuls pply o

15 We hve h < M ( ) < for γ γ µ σ+ ( ) σ ( ) κφ < φ < κφ (6) where, for convenience, we se: φs σ φ nd κφ ( ) = ( σ µ )[ + φ ( )] + [ µ ( ) + σφ ] 0 φ <. ; nd where κφ ( ) > for for < σ < + µ < nd 0 φ <, he righ hnd side inequliy in (6) is lwys sisfied; for< + µ < σ i cn be shown h he righ hnd side inequliy in (6) is sisfied for sufficienly high vlues of φ nd violed for low vlues (hin: we re deling wih wo monooniclly decresing funcions of φ, he firs ends o infiniy for φ 0 nd i is equl o φ =, he second is posiive (nd lrger hn ) bu finie φ = 0 nd i is equl o φ =, since φ = he firs derivive of he firs funcion is smller in bsolue vlue hn he derivive of he second funcion, he wo funcions necessrily cross some φ T = φ, T where 0< φ < ).I is no possible o specify he corresponding bifurcion vlue for he rde T freeness prmeer φ = φ explicily. Noe h forσ > + µ, s φ crosses T φ from lef o righ, he mp undergoes so-clled border collision bifurcion: he CP equilibrium CP λ () = mees he upper brnch of he symmeric equilibrium gining sbiliy. Symmericlly, CP(0) λ = 0 mees he lower brnch of he symmeric equilibrium gining sbiliy. From his, we infer h he symmeric equilibrium mus hve lwys he sme locl sbiliy properies in he neighborhood of he CP equilibri (see Figures nd 4). Finlly, he lef hnd side inequliy in (6) is sisfied for sufficienly smll vlue of γ: γ < µ σ+ σ φ κφ ( ) (7) 4

16 When his ler condiion does no hold, 0< φ < φ < φ <, where φ CP() λ = is sble for nd φ cn only be obined numericlly by solving (7) wih n equliy sign. [ φ nd φ correspond o wo flip bifurcion poins, which re no visible due o he consrins of he mp Λ ( λ )]. Moving on o he symmeric equilibrium, is locl sbiliy requires h he eigenvlue of he mp M ( λ ) (which coincides o h of he mp Λ ( λ ) lie wihin he inervl (,) : ) evlued his equilibrium should γ < M = + T <, 4 which implies 8 < T < 0 γ (8) Concerning he inequliy on he righ hnd side of (8), i is sisfied for ( σ µ ) ( σ ) µ ( σ )( σ µ ) + µ ( µ + σ ) P φ < φ < for < σ < + µ P, i follows h φ < 0. Therefore, his inequliy cn never be sisfied; for µ σ > +, s φ crosses undergoes so-clled pichfork bifurcion. P φ from lef o righ, he mp Λ( λ ) A firs ineresing resul we my highligh is h P φ depends posiively on : ( )( )( ) ( σ )( σ µ ) µ ( µ σ ) φ P µ σ µ σ σ = >

17 which implies h he locl sbiliy of he symmeric equilibrium depends upon he dimension of he ouside region s follows: incresing he size of he hird region (reducing ) hs desbilizing effec on his equilibrium nd ends o fvor gglomerion. In order o sudy in deil he properies of he pichfork bifurcion, we firs redefine our cenrl mp o highligh he conrol prmeer we ineresed in, rde freenessφ, nd we verify how hese my chnge when noher crucil prmeer, he size of he hird region, chnges. We could replice he sme nlysis for ny oher prmeer. The redefined mp is where Z ( φ, λ ) ( φ, λ ) T ( φ λ ) = T + λ,. M ( φ, λ ) = λ + γ ( λ ) Z( φ, λ ), From he heory of dynmicl sysems (see Wiggins, 990), in correspondence of pichforfork bifurcion, h is, whenφ = φ nd λ =, he following condiions mus P * hold: (i) (ii) (iii) (iv) M φ P, = 0; φ M P φ = λ, 0; M P φ, 0 λ φ M P φ λ, 0. Moreover, he sign of he following expression cn be used o deermine on which side of P φ he wo brnches of symmeric equilibri, les iniilly, lie: (v) M P φ λ M P, > or < 0 φ, λ φ We hve supercriicl pichfork bifurcion when his expression is lrger hn zero nd subcriicl pichfork bifurcion when i is less hn zero. 6

18 We hve h: Z condiion (i), which corresponds o φ P, = 0, is verified due o he fc h he sym- φ meric equilibrium ω, = ω, nd ω, ω, φ, = φ, φ φ for nyφ ; condiion (ii) corresponds o T T P, φ, = 0. I cn be checked (vi clcul- ion) h his equliy holds for ny φ ; P φ λ λ condiion (iii) corresponds o T P φ, 0. Afer clculion we obin he following re- λ φ sul: µ ( σ ) ( σ )( σ µ ) + µ ( µ + σ ) ( σ µ )( σ ) ( µ + σ) ( σ )( σ µ ) + µ ( µ + σ ) > 0 which is lwys sisfied; condiion (iv) corresponds o, 0. Afer clculion we obin he following resul: T P φ λ { } ( ) ( ) ( ) + ( ) + ( ) ( ) + ( + ) + ( ) 4 µ σ σ µ σ σ µ σ σ µ µ µ σ µ σ ( σ ) ( µ + σ) ( σ )( σ µ ) + µ ( µ + σ ) This expression could be negive, posiive or zero depending on prmeer vlues. If i is differen from zero, given h 0< µ < < σ, he sign of (v) corresponds o h of he following expression: ( σ ) ( µ σ) + ( σ ) µ + ( σ ) ( σ µ ) + µ ( µ + σ ) µ + ( σ ) (9) This llows us o se he following proposiion : 7

19 Proposiion : I is possible o show h i exiss = such h (9) is posiive for < nd i is negive for >, wih 0< < forσ > + µ. Proof. Firs we rewrie (9) s A + B + C where: ( ) ( ) A σ µ σ < 0, ( ) ( ) ( ) B σ µ + σ σ µ ( < )0 ( ) ( ) C µ µ + σ µ + σ > 0. Therefore (9) dmis one posiive nd one negive soluion. In order o hve rel roos, i mus be: ( ) ( )( ) ( ) 4 4 B 4AC = σ 8σ µ + 4 0σ σ + σ µ + 4σ σ > 0 = 0 is quric equion h dmis 4 soluions of which only wo mos re rel (or none). Define x µ. We hve h: ( σ σ ) x ( σ σ )( σ ) x σ ( σ ) 4 = = 0 This is now second degree equion whose soluions, x nd x b, re rel since ( σ )( σ ) ( σ ) = 44 5 > 0 8

20 Moreover, hese soluions re boh negive for + < σ <.8 nd hey re one posi- 4 + ive x nd one negive x b (wih he posiive lrger hn he negive) forσ >.8. 4 Therefore: + for < σ <.8 > 0 lwys. 4 + For σ >.8 > 0 for 0< x< x >. Therefore lso in his cse > 0 for ll relevn vlues of µ 4. Therefore A B C + + = 0 dmis wo rel soluions one posiive nd one negive. Le s cll B + he posiive soluion, where A. Given h A < 0, he expression (9) is posiive for 0 < nd i is negive for >. Finlly, noice h he condiion < corresponds o ( σ ) ( σ µ )( µ σ )( σ µ ) + + < 0 Th cn be furher reduced o σ > + µ. Q.E.D. A his sge i could be ineresing wo consider wo simpler cses: Firs cse: =. By seing =, we re bck o he sndrd FC model. Expression (9) becomes: ( )( ) µ + σ µ σ + ( σ + µ ) which is negive forσ > + µ. Th is, for his cse, only subcriicl pichfork bifurcion cn occur. As shown in Fig. (), he curve of symmeric equilibri lies on he lef of P φ. 9

21 () σ = µ = 0.45 = Size of hird region: = 0 0. φ 0.5 (b) σ = µ = 0.45 = Size of hird region: = 0. φ 0.4 (c) σ = µ = 0.45 = Size of hird region: = 0. φ 0.5 Figure 0

22 The wo exising symmeric equilibri λ nd λ re unsble. Th is, for ny such equi- librium M ( λ ) > nd M ( λ ) > h correspond o T ( λ ) > 0 nd T ( λ ) > 0. This cn be verified only numericlly s he Figure (so-clled wiggle digrm) below shows: Fig. : Wiggle digrm, showing he sbiliy of equilibri for =, µ = 0.45 φ = 0. nd σ = As shown in Fig., ploing T ( λ ) wih respec o λ, for he given prmeer configurion, he symmeric equilibrium is loclly sble sble since T < 0. A he sme ime, lso he CP equilibri re rcing given he boundry condiions in (4), which give Λ (0) =Λ () = 0 (h is, due o he presence of borders he CP equilibri re supersble, i.e. he firs derivive of he mp evlued hose equilibri is equl o zero). Insed, he wo symmeric equilibri re unsble, given h he slope of T ( λ) in correspondence of hese equilibri is posiive. λ nd λ sepre symmericlly wihin he uniry inervl (0, ), he bsins of rcion of he symmeric equilibrium, ( λ, λ ), of he CP equilib- CP(0) CP() rium λ = 0, 0, λ ), nd of he CP equilibrium λ =, ( λ,. Second cse: =. This cse corresponds o n equl disribuion of he griculurl secor mong he hree regions. If =, expression (9) cn be rewrien s µ + + ( ) ( ) σ 4 5µ σ µ µ (0)

23 Solving for σ, we obin: 5 µ ± µ (49µ + 6) σ i = + i =, 4 wih 0< σ < < σ. We cn disregrd σ nd conclude h (0) is lrger hn zero for < σ < σ nd i is less hn zero forσ > σ >. In Figure (b), we se σ > σ >, herefore (0) is negive. As φ crossesφ P subcriicl bifurcion emerges. The curve of symmeric equilibri lies enirely on he lef of See Figure 4. P φ. The wo exising symmeric equilibri re unsble. Fig. 4: Wiggle digrm showing he sbiliy of equilibri for = /, µ = 0.45 φ = 0. nd σ = P In Figure (c), we se < σ < σ, herefore (0) is posiive. As φ crosses φ from lef o righ, supercriicl pichfork bifurcion emerges. The curve of symmeric equilibri lies, les P iniilly, on he righ ofφ. Four symmeric equilibri my exis. The wo exernl b b equilibri, λ nd λ, re unsble. This is due o he fc h due o he border collision bifurhe CP equilibri gin sbiliy (see bove). Insed, he wo inerior symmeric equilibri, λ nd λ, re sble. This is due o he fc h in he neighborhood of he symmeric equilibrium he pichfork bifurcion mus be supercriicl. The disppernce of he four symmeri equilibri occurs vi so-clled fold bifurcion. Typiclly ccording o such ype of bifurcion by vrying prmeer (in our cse by reducing φ ) wo equilibri

24 emerge (one sble nd one unsble). In our cse, due o symmery, his occurs boh below nd bove λ * =. To check furher on he sbiliy properies of he symmeric equilibri see Figure 5, where, for < σ < σ, we hve ploed T ( λ ) for differen vlues of he rde freeness prmeer. For φ = 0.09 nd φ = 0., only he exernl symmeric equilibri coexis wih he symmeric nd he CP equilibrium; he exernl symmeric equilibri delimi he bsins of rcion of he sble equilibri: siuion nlogous o Fig. 4. By incresing slighly φ, in he exmple up o φ = 0., he wo sble inerior symmeric equilibri emerge, for which M ( λ ) < nd M ( λ ) <, h correspond o T ( λ ) < 0 nd T ( λ ) < 0. b The bsins of rcion re now given by 0, λ ) for he CP equilibrium for he inerior symmeric equilibrium b λ, ( 0.5, λ ) CP(0) λ = 0, ( λ ) b,0.5 for oher sble symmeric equilibrium b λ nd finlly, ( λ, for he CP equilibrium CP() λ =. Noice h he symmeric equilibrium, which is unsble fer crossing he bifurcion vlue rcion of he wo inerior symmeric equilibri. P φ, sepres he bsins of Fig. 5: Wiggle digrm showing he sbiliy of equilibri for = /, µ = 0.45 nd σ = nd for differen vlues of he rde freeness prmeer: φ = 0.09 φ = 0. φ = 0. nd φ = 0.

25 Finlly, in Fig. 6 we presen he generl cse 0< <. These simulions h he negive impc of he size of he hird region on P φ is significn. Finlly, concerning he inequliy on he lef hnd side of (8), i holds for sufficienly smll vlue of γ or for sufficienly high vlue of (see lso below). 4

26 σ = µ = 0.45 = Size of hird region: = / σ = µ = 0.45 =.09 Size of hird region: = 0.7 σ = µ = 0.45 =. Size of hird region: = 0.67 Figure 6 6. Preliminry resuls on globl dynmics As i is sed in he previous secions, he mp Λ hs wo CP-fixed poins λ=0 nd λ =, he symmeric fixed poin λ * =/, nd i cn lso hve four more, symmeric, fixed poins, λ, - λ nd λ b, - λ b (which re symmeric wih respec o λ * by pirs). Le us wrie down he expressions of he bifurcion curves of he fixed poin λ * =/, reled o is eigenvlue ±. The eigenvlue he mp Λ evlued λ * cn be wrien s 5

27 γ ( φ ) µ µφ ( σ µ )( φ) M '( λ*) = η + +. ( + φ) ( σ ) σ( + φ ) µ ( φ) The vlue η = corresponds o he pichfork bifurcion. This bifurcion holds if µ σ( + φ ) µ ( φ) = pf φ. ( σ µ )( φ) ( σ ) The vlue η = - is reled o he flip bifurcion. The flip bifurcion occurs if ( σ ( + φ ) µ ( φ ) µ ( + φ ) µφ = fl + +. ( σ µ )( φ) ( σ ) γ( φ) ( σ µ )( φ) To ge n ide bou he globl dynmics of he mp Λ le us fix μ=0.45, γ=0 nd consider he (f, )-prmeer plne for differen vlues of σ. Firs, le σ=. In Fig.7 we presen he Dim bifurcion digrm in he (f, )-prmeer plne where differen colours correspond o rcing cycles of differen periods (up o he period equls ). The wo curves = pf nd = fl reled o he pichfork nd, respecively, he flip bifurcion of he fixed poin λ * re ploed using he reled equions. To ge his Dim digrm only one iniil condiion ws used, so, mulisbiliy cnno be observed in such cse. In order o clrify he dynmics le us consider Dim bifurcion digrms. Figure 7 Dim bifurcion digrm in he (f, )-prmeer plne σ=, μ=0.45, γ=0. 6

28 The Dim digrms reled o he srigh lines wih rrows re shown in Fig. 8 (horizonl line) nd Fig. 9 (vericl line). Firs, le us fix he vlue = / nd vry he prmeer f in he rnge (0, 0.5) (he reled prmeer pss is shown in Fig.7 by horizonl line wih n rrow). The corresponding Dim bifurcion digrm is shown in Fig.8 () ogeher wih is wo enlrgemens, in (b) nd (c). Le us commen on he bifurcion sequence sring from he rcing fixed poin λ * (e.g., f = 0.055) nd will decrese he vlue of f (see Fig.8 (b)). A φ = φ supercriicl perioddoubling bifurcion occurs leding o he rcing -cycle denoed g₂; hen φ = φ his cycle undergoes supercriicl pichfork bifurcion resuling in wo more (coexising) rcing -cycles. Ech of hese cycles undergoes cscde of period-doubling bifurcions following he 'logisic' scenrio up o he pirwise merging of wo coexising -cyclic rcors in one -cyclic rcor due o he homoclinic bifurcion of he -cycle g₂. A f=f₁ he choic inervl hs conc wih is bsin of rcion, bounded by he wo repelling CP fixed poins, fer which hese wo fixed poins become sble. Now consider he enlrgemen of Fig.8 () shown in (c). A f=f₄ border collision bifurcion leds o he sbilision of he CP fixed poins nd o he ppernce of wo more repelling fixed poins λ, - λ. A f=f₅ he fixed poin λ * undergoes supercriicl pichfork bifurcion leding o wo more fixed poins, λ b nd - λ b. Then f=f₆ we observe reverse fold bifurcion due o which he four fixed poins λ, - λ nd λ b, - λ b dispper. merge by pirs nd 7

29 Figure 8 In (): Dim bifurcion digrm μ=0.45, σ=, γ=0, = /, f (0, 0.5); In (b) nd (c): enlrgemens of wo windows indiced by recngles mrked I nd II in (). Le us come bck o he Dim digrm in Fig. 7, fix f = 0.0 nd will vry he vlue of he prmeer. The Dim bifurcion digrm for f= 0.0 nd (0., 0.65) is shown in Fig. 9. We observe h = he fixed poin λ * =/ undergoes he supercriicl pichfork bifurcion (for decresing ) leding o wo fixed poins λ * ₁=λ nd λ * ₂=-λ. If we coninue o decrese he vlue of = ech of hese fixed poins undergoes supercriicl period- 8

30 doubling bifurcion nd hen i follows he 'logisic' bifurcion scenrio. For he vlues of less hn cerin vlue his scenrio is observed in he reverse order up o he period-doubling bifurcion = leding o he rcing fixed poin. Thus, for exmple, = 0. we re bck o he wo rcing fixed poins λ * ₁ nd λ * ₂. Figure 9 Dim bifurcion digrm μ=0.45, σ=, γ=0, f=0.0, (0., 0.65). Figure 0 An enlrgemen of he window indiced in Fig. 9. 9

31 Sring gin from he rcing fixed poin λ * =/ (see Fig. 9) nd incresing he vlue of one cn see h = 5 he fixed poins λ * undergoes subcriicl period-doubling bifurcion h cn be seen in Fig. 0 which shows n enlrgemen of he Fig. 9. Here he dshed colour lines re reled o he poins of repelling cycle of period denoed g₂ born 4 = due o he fold bifurcion ogeher wih n rcing cycle g₂ of period. The prmeer rnge ( 4, 5) corresponds o coexising rcing fixed poin λ * nd -cycle g₂. Then, he subcriicl period-doubling bifurcion he poins of g₂ merge wih he fixed poin λ * nd fer his fixed poin becomes repelling so h he only rcor is he -cycle g₂. If we coninue o increse he vlue of, = 6 he -cycle g₂ undergoes supercriicl pichfork bifurcion leding o wo new -cycles g ₂ nd g b ₂. Ech of hese cycles undergoes 'logisic' sequence of bifurcions (for ( 6, 7) we gin hve coexising rcors) up o he momen of homoclinic bifurcion of he -cycle g₂ leding o merging of he rcors. Afer his bifurcion he rcor is unique. I exiss up o he conc wih is bsin of rcion bounded by he repelling CP fixed poins. As resul hese fixed poins re sbilised. Noe h he period-doubling bifurcion of λ * observed in Fig. 8 (b) is supercriicl nd i is subcriicl in Fig. 0, while he pichfork bifurcion of λ * in Fig. 8 (b) is subcriicl nd i is supercriicl in Fig. 9. To compre he bifurcion srucure shown in Fig. 7 wih he one for lrger vlue of σ, we show in Fig. he Dim bifurcion digrm in he ( φ, ) -prmeer plne σ=8, μ=0.45, γ=0. The bsic sequence of bifurcions is similr, bu we leve is complee chrcerizion, s well s more deiled invesigion of he dynmics of he mp, for fuure work. 0

32 Figure Dim bifurcion digrm in he ( φ, ) -prmeer plne σ=8, μ=0.45, γ=0. 7. Finl remrks The (scn) NEG lierure on hree-region models hs del so fr wih he impc of rde policy wih hird region on indusril gglomerion in wo-region home counry. In conrs, he FE-NEG model presened in his pper hs delivered resuls on how economic inegrion beween wo regions ( nd ) priciping in cusoms union impcs on he disribuion of indusril firms wihin he union, holding consn he disnce beween he union iself nd he res of he world (region ). We hve shown h: ) becuse our simple se up, chnge in rde policy wih he res of he world does no impc on profi differenils beween regions nd, hus leving unffeced he disribuion of indusril firms wihin he union; ) i is he size (of he mrke) of he hird region h mers for he blnce beween cenripel nd cenrifugl forces beween he wo counries/regions inside he inegrion re. This leds o he generl conclusion h he effecs of rde liberlision beween he wo counries inside he inegrion re sricly depends upon he size of he mrke exernl o he union. Such resul holds looking boh sble nd unsble symmeric equilibri s summrized in he following wo poins; ) n increse of he exernl demnd coming from he hird region, leds he symmeric equilibrium beween region nd o lose sbiliy lower vlue of he rde free-

33 ness inside he inegrion re. Th is, s shown in Brülhr e l. (004), sronger ouside links fvour gglomerion wihin he inegrion re; 4) in ddiion, nd his is our min resul, he size of he hird region lso influences wh hppens, if he symmeric equilibrium is unsble. For smller hird region he gglomerive forces ouweigh he deglomerive forces leding o full gglomerion in one of he regions inside he inegrion re. Insed, for bigger hird region, symmeries weken he gglomerive processes nd srenghen he deglomerive forces nd inerior symmeric equilibr cn be esblished. This ler resuls is imporn for wo resons: ) becuse i shows h even if wih reducion of rde coss wih he inegrion re he symmeric equilibrium loses sbiliy (s found lso in he ppers reviewed bove), he long-run oucome need no be full gglomerion, bu my lso be pril gglomerion (hus reducion of rde coss does no led o exreme regionl dispersion); b) becuse i is one of he rre exmples in he NEG lierure h produces pril gglomerion s he oucome of n endogenous process.

34 References Alonso-Villr, O. (999), Spil disribuion of producion nd inernionl rde: noe. Regionl Science nd Urbn Economics, 9 (): Alonso-Villr, O. (00), Lrge meropolises in he Third World: n explnion. Urbn Sudies 8 (8): Bldwin, R., Forslid, R., Mrin, P., Ovino, G.I.P., Rober-Nicoud, F., 00. Economic Geogrphy nd Public Policy, Princeon Universiy Press, Princeon nd Oxford. Brülhr, M., Croze, M., nd P. Koenig (004) Enlrgemen nd he EU Periphery: The Impc of Chnging Mrke Poenil World Economy. 7(6): Croze, M., nd P. Koenig-Soubeyrn (004). EU Enlrgemen nd he Inernl Geogrphy of Counries. Journl of Comprive Economics, (): Dixi-Sigliz (977), Monopolisic Compeiion nd Opimum Produc Diversiy. The Americn Economic Review, 67(): Fuji M., Krugmn P.R. nd Venbles A. (999) The Spil Econo-my: Ciies, Regions nd Inernionl Trde. MIT Press, Cm-bridge, MA Krishn, P. (008), Regionl nd preferenil rde greemens. The New Plgrve Dicionry of Economics. Second Ediion. Eds. Seven N. Durluf nd Lwrence E. Blume. Plgrve Mcmilln. The New Plgrve Dicionry of Economics Online. Krugmn P.R. nd Livs Elizondo, R. (996), Trde policy nd he hird world meropolis. Journl of Developmen Economics, 49(): Monfor, P., Nicolini, R. (000), Regionl convergence nd inernionl inegrion. Journl of Urbn Economics, 48(): Pluzie E. (00), Trde policy nd regionl inequliies. Ppers in Regionl Science, 80():

e t dt e t dt = lim e t dt T (1 e T ) = 1

e t dt e t dt = lim e t dt T (1 e T ) = 1 Improper Inegrls There re wo ypes of improper inegrls - hose wih infinie limis of inegrion, nd hose wih inegrnds h pproch some poin wihin he limis of inegrion. Firs we will consider inegrls wih infinie

More information

Tax Audit and Vertical Externalities

Tax Audit and Vertical Externalities T Audi nd Vericl Eernliies Hidey Ko Misuyoshi Yngihr Ngoy Keizi Universiy Ngoy Universiy 1. Inroducion The vericl fiscl eernliies rise when he differen levels of governmens, such s he federl nd se governmens,

More information

4.8 Improper Integrals

4.8 Improper Integrals 4.8 Improper Inegrls Well you ve mde i hrough ll he inegrion echniques. Congrs! Unforunely for us, we sill need o cover one more inegrl. They re clled Improper Inegrls. A his poin, we ve only del wih inegrls

More information

A Kalman filtering simulation

A Kalman filtering simulation A Klmn filering simulion The performnce of Klmn filering hs been esed on he bsis of wo differen dynmicl models, ssuming eiher moion wih consn elociy or wih consn ccelerion. The former is epeced o beer

More information

September 20 Homework Solutions

September 20 Homework Solutions College of Engineering nd Compuer Science Mechnicl Engineering Deprmen Mechnicl Engineering A Seminr in Engineering Anlysis Fll 7 Number 66 Insrucor: Lrry Creo Sepember Homework Soluions Find he specrum

More information

Contraction Mapping Principle Approach to Differential Equations

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

More information

Motion. Part 2: Constant Acceleration. Acceleration. October Lab Physics. Ms. Levine 1. Acceleration. Acceleration. Units for Acceleration.

Motion. Part 2: Constant Acceleration. Acceleration. October Lab Physics. Ms. Levine 1. Acceleration. Acceleration. Units for Acceleration. Moion Accelerion Pr : Consn Accelerion Accelerion Accelerion Accelerion is he re of chnge of velociy. = v - vo = Δv Δ ccelerion = = v - vo chnge of velociy elpsed ime Accelerion is vecor, lhough in one-dimensionl

More information

0 for t < 0 1 for t > 0

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

More information

Convergence of Singular Integral Operators in Weighted Lebesgue Spaces

Convergence of Singular Integral Operators in Weighted Lebesgue Spaces EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS Vol. 10, No. 2, 2017, 335-347 ISSN 1307-5543 www.ejpm.com Published by New York Business Globl Convergence of Singulr Inegrl Operors in Weighed Lebesgue

More information

ENGR 1990 Engineering Mathematics The Integral of a Function as a Function

ENGR 1990 Engineering Mathematics The Integral of a Function as a Function ENGR 1990 Engineering Mhemics The Inegrl of Funcion s Funcion Previously, we lerned how o esime he inegrl of funcion f( ) over some inervl y dding he res of finie se of rpezoids h represen he re under

More information

f t f a f x dx By Lin McMullin f x dx= f b f a. 2

f t f a f x dx By Lin McMullin f x dx= f b f a. 2 Accumulion: Thoughs On () By Lin McMullin f f f d = + The gols of he AP* Clculus progrm include he semen, Sudens should undersnd he definie inegrl s he ne ccumulion of chnge. 1 The Topicl Ouline includes

More information

5.1-The Initial-Value Problems For Ordinary Differential Equations

5.1-The Initial-Value Problems For Ordinary Differential Equations 5.-The Iniil-Vlue Problems For Ordinry Differenil Equions Consider solving iniil-vlue problems for ordinry differenil equions: (*) y f, y, b, y. If we know he generl soluion y of he ordinry differenil

More information

Neural assembly binding in linguistic representation

Neural assembly binding in linguistic representation Neurl ssembly binding in linguisic represenion Frnk vn der Velde & Mrc de Kmps Cogniive Psychology Uni, Universiy of Leiden, Wssenrseweg 52, 2333 AK Leiden, The Neherlnds, vdvelde@fsw.leidenuniv.nl Absrc.

More information

1.0 Electrical Systems

1.0 Electrical Systems . Elecricl Sysems The ypes of dynmicl sysems we will e sudying cn e modeled in erms of lgeric equions, differenil equions, or inegrl equions. We will egin y looking fmilir mhemicl models of idel resisors,

More information

Solutions to Problems from Chapter 2

Solutions to Problems from Chapter 2 Soluions o Problems rom Chper Problem. The signls u() :5sgn(), u () :5sgn(), nd u h () :5sgn() re ploed respecively in Figures.,b,c. Noe h u h () :5sgn() :5; 8 including, bu u () :5sgn() is undeined..5

More information

3. Renewal Limit Theorems

3. Renewal Limit Theorems Virul Lborories > 14. Renewl Processes > 1 2 3 3. Renewl Limi Theorems In he inroducion o renewl processes, we noed h he rrivl ime process nd he couning process re inverses, in sens The rrivl ime process

More information

EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR A SECOND-ORDER ITERATIVE BOUNDARY-VALUE PROBLEM

EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR A SECOND-ORDER ITERATIVE BOUNDARY-VALUE PROBLEM Elecronic Journl of Differenil Equions, Vol. 208 (208), No. 50, pp. 6. ISSN: 072-669. URL: hp://ejde.mh.xse.edu or hp://ejde.mh.un.edu EXISTENCE AND UNIQUENESS OF SOLUTIONS FOR A SECOND-ORDER ITERATIVE

More information

Probability, Estimators, and Stationarity

Probability, Estimators, and Stationarity Chper Probbiliy, Esimors, nd Sionriy Consider signl genered by dynmicl process, R, R. Considering s funcion of ime, we re opering in he ime domin. A fundmenl wy o chrcerize he dynmics using he ime domin

More information

A new model for limit order book dynamics

A new model for limit order book dynamics Anewmodelforlimiorderbookdynmics JeffreyR.Russell UniversiyofChicgo,GrdueSchoolofBusiness TejinKim UniversiyofChicgo,DeprmenofSisics Absrc:Thispperproposesnewmodelforlimiorderbookdynmics.Thelimiorderbookconsiss

More information

MATH 124 AND 125 FINAL EXAM REVIEW PACKET (Revised spring 2008)

MATH 124 AND 125 FINAL EXAM REVIEW PACKET (Revised spring 2008) MATH 14 AND 15 FINAL EXAM REVIEW PACKET (Revised spring 8) The following quesions cn be used s review for Mh 14/ 15 These quesions re no cul smples of quesions h will pper on he finl em, bu hey will provide

More information

MTH 146 Class 11 Notes

MTH 146 Class 11 Notes 8.- Are of Surfce of Revoluion MTH 6 Clss Noes Suppose we wish o revolve curve C round n is nd find he surfce re of he resuling solid. Suppose f( ) is nonnegive funcion wih coninuous firs derivive on he

More information

Physics 2A HW #3 Solutions

Physics 2A HW #3 Solutions Chper 3 Focus on Conceps: 3, 4, 6, 9 Problems: 9, 9, 3, 41, 66, 7, 75, 77 Phsics A HW #3 Soluions Focus On Conceps 3-3 (c) The ccelerion due o grvi is he sme for boh blls, despie he fc h he hve differen

More information

A 1.3 m 2.5 m 2.8 m. x = m m = 8400 m. y = 4900 m 3200 m = 1700 m

A 1.3 m 2.5 m 2.8 m. x = m m = 8400 m. y = 4900 m 3200 m = 1700 m PHYS : Soluions o Chper 3 Home Work. SSM REASONING The displcemen is ecor drwn from he iniil posiion o he finl posiion. The mgniude of he displcemen is he shores disnce beween he posiions. Noe h i is onl

More information

A LIMIT-POINT CRITERION FOR A SECOND-ORDER LINEAR DIFFERENTIAL OPERATOR IAN KNOWLES

A LIMIT-POINT CRITERION FOR A SECOND-ORDER LINEAR DIFFERENTIAL OPERATOR IAN KNOWLES A LIMIT-POINT CRITERION FOR A SECOND-ORDER LINEAR DIFFERENTIAL OPERATOR j IAN KNOWLES 1. Inroducion Consider he forml differenil operor T defined by el, (1) where he funcion q{) is rel-vlued nd loclly

More information

Average & instantaneous velocity and acceleration Motion with constant acceleration

Average & instantaneous velocity and acceleration Motion with constant acceleration Physics 7: Lecure Reminders Discussion nd Lb secions sr meeing ne week Fill ou Pink dd/drop form if you need o swich o differen secion h is FULL. Do i TODAY. Homework Ch. : 5, 7,, 3,, nd 6 Ch.: 6,, 3 Submission

More information

Minimum Squared Error

Minimum Squared Error Minimum Squred Error LDF: Minimum Squred-Error Procedures Ide: conver o esier nd eer undersood prolem Percepron y i > 0 for ll smples y i solve sysem of liner inequliies MSE procedure y i i for ll smples

More information

INTEGRALS. Exercise 1. Let f : [a, b] R be bounded, and let P and Q be partitions of [a, b]. Prove that if P Q then U(P ) U(Q) and L(P ) L(Q).

INTEGRALS. Exercise 1. Let f : [a, b] R be bounded, and let P and Q be partitions of [a, b]. Prove that if P Q then U(P ) U(Q) and L(P ) L(Q). INTEGRALS JOHN QUIGG Eercise. Le f : [, b] R be bounded, nd le P nd Q be priions of [, b]. Prove h if P Q hen U(P ) U(Q) nd L(P ) L(Q). Soluion: Le P = {,..., n }. Since Q is obined from P by dding finiely

More information

CBSE 2014 ANNUAL EXAMINATION ALL INDIA

CBSE 2014 ANNUAL EXAMINATION ALL INDIA CBSE ANNUAL EXAMINATION ALL INDIA SET Wih Complee Eplnions M Mrks : SECTION A Q If R = {(, y) : + y = 8} is relion on N, wrie he rnge of R Sol Since + y = 8 h implies, y = (8 ) R = {(, ), (, ), (6, )}

More information

REAL ANALYSIS I HOMEWORK 3. Chapter 1

REAL ANALYSIS I HOMEWORK 3. Chapter 1 REAL ANALYSIS I HOMEWORK 3 CİHAN BAHRAN The quesions re from Sein nd Shkrchi s e. Chper 1 18. Prove he following sserion: Every mesurble funcion is he limi.e. of sequence of coninuous funcions. We firs

More information

Magnetostatics Bar Magnet. Magnetostatics Oersted s Experiment

Magnetostatics Bar Magnet. Magnetostatics Oersted s Experiment Mgneosics Br Mgne As fr bck s 4500 yers go, he Chinese discovered h cerin ypes of iron ore could rc ech oher nd cerin mels. Iron filings "mp" of br mgne s field Crefully suspended slivers of his mel were

More information

Minimum Squared Error

Minimum Squared Error Minimum Squred Error LDF: Minimum Squred-Error Procedures Ide: conver o esier nd eer undersood prolem Percepron y i > for ll smples y i solve sysem of liner inequliies MSE procedure y i = i for ll smples

More information

The solution is often represented as a vector: 2xI + 4X2 + 2X3 + 4X4 + 2X5 = 4 2xI + 4X2 + 3X3 + 3X4 + 3X5 = 4. 3xI + 6X2 + 6X3 + 3X4 + 6X5 = 6.

The solution is often represented as a vector: 2xI + 4X2 + 2X3 + 4X4 + 2X5 = 4 2xI + 4X2 + 3X3 + 3X4 + 3X5 = 4. 3xI + 6X2 + 6X3 + 3X4 + 6X5 = 6. [~ o o :- o o ill] i 1. Mrices, Vecors, nd Guss-Jordn Eliminion 1 x y = = - z= The soluion is ofen represened s vecor: n his exmple, he process of eliminion works very smoohly. We cn elimine ll enries

More information

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

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

More information

22.615, MHD Theory of Fusion Systems Prof. Freidberg Lecture 9: The High Beta Tokamak

22.615, MHD Theory of Fusion Systems Prof. Freidberg Lecture 9: The High Beta Tokamak .65, MHD Theory of Fusion Sysems Prof. Freidberg Lecure 9: The High e Tokmk Summry of he Properies of n Ohmic Tokmk. Advnges:. good euilibrium (smll shif) b. good sbiliy ( ) c. good confinemen ( τ nr )

More information

1. Consider a PSA initially at rest in the beginning of the left-hand end of a long ISS corridor. Assume xo = 0 on the left end of the ISS corridor.

1. Consider a PSA initially at rest in the beginning of the left-hand end of a long ISS corridor. Assume xo = 0 on the left end of the ISS corridor. In Eercise 1, use sndrd recngulr Cresin coordine sysem. Le ime be represened long he horizonl is. Assume ll ccelerions nd decelerions re consn. 1. Consider PSA iniilly res in he beginning of he lef-hnd

More information

PHYSICS 1210 Exam 1 University of Wyoming 14 February points

PHYSICS 1210 Exam 1 University of Wyoming 14 February points PHYSICS 1210 Em 1 Uniersiy of Wyoming 14 Februry 2013 150 poins This es is open-noe nd closed-book. Clculors re permied bu compuers re no. No collborion, consulion, or communicion wih oher people (oher

More information

(b) 10 yr. (b) 13 m. 1.6 m s, m s m s (c) 13.1 s. 32. (a) 20.0 s (b) No, the minimum distance to stop = 1.00 km. 1.

(b) 10 yr. (b) 13 m. 1.6 m s, m s m s (c) 13.1 s. 32. (a) 20.0 s (b) No, the minimum distance to stop = 1.00 km. 1. Answers o Een Numbered Problems Chper. () 7 m s, 6 m s (b) 8 5 yr 4.. m ih 6. () 5. m s (b).5 m s (c).5 m s (d) 3.33 m s (e) 8. ().3 min (b) 64 mi..3 h. ().3 s (b) 3 m 4..8 mi wes of he flgpole 6. (b)

More information

ON THE STABILITY OF DELAY POPULATION DYNAMICS RELATED WITH ALLEE EFFECTS. O. A. Gumus and H. Kose

ON THE STABILITY OF DELAY POPULATION DYNAMICS RELATED WITH ALLEE EFFECTS. O. A. Gumus and H. Kose Mhemicl nd Compuionl Applicions Vol. 7 o. pp. 56-67 O THE STABILITY O DELAY POPULATIO DYAMICS RELATED WITH ALLEE EECTS O. A. Gumus nd H. Kose Deprmen o Mhemics Selcu Universiy 47 Kony Turey ozlem@selcu.edu.r

More information

Green s Functions and Comparison Theorems for Differential Equations on Measure Chains

Green s Functions and Comparison Theorems for Differential Equations on Measure Chains Green s Funcions nd Comprison Theorems for Differenil Equions on Mesure Chins Lynn Erbe nd Alln Peerson Deprmen of Mhemics nd Sisics, Universiy of Nebrsk-Lincoln Lincoln,NE 68588-0323 lerbe@@mh.unl.edu

More information

Chapter Direct Method of Interpolation

Chapter Direct Method of Interpolation Chper 5. Direc Mehod of Inerpolion Afer reding his chper, you should be ble o:. pply he direc mehod of inerpolion,. sole problems using he direc mehod of inerpolion, nd. use he direc mehod inerpolns o

More information

1 jordan.mcd Eigenvalue-eigenvector approach to solving first order ODEs. -- Jordan normal (canonical) form. Instructor: Nam Sun Wang

1 jordan.mcd Eigenvalue-eigenvector approach to solving first order ODEs. -- Jordan normal (canonical) form. Instructor: Nam Sun Wang jordnmcd Eigenvlue-eigenvecor pproch o solving firs order ODEs -- ordn norml (cnonicl) form Insrucor: Nm Sun Wng Consider he following se of coupled firs order ODEs d d x x 5 x x d d x d d x x x 5 x x

More information

2D Motion WS. A horizontally launched projectile s initial vertical velocity is zero. Solve the following problems with this information.

2D Motion WS. A horizontally launched projectile s initial vertical velocity is zero. Solve the following problems with this information. Nme D Moion WS The equions of moion h rele o projeciles were discussed in he Projecile Moion Anlsis Acii. ou found h projecile moes wih consn eloci in he horizonl direcion nd consn ccelerion in he ericl

More information

A Time Truncated Improved Group Sampling Plans for Rayleigh and Log - Logistic Distributions

A Time Truncated Improved Group Sampling Plans for Rayleigh and Log - Logistic Distributions ISSNOnline : 39-8753 ISSN Prin : 347-67 An ISO 397: 7 Cerified Orgnizion Vol. 5, Issue 5, My 6 A Time Trunced Improved Group Smpling Plns for Ryleigh nd og - ogisic Disribuions P.Kvipriy, A.R. Sudmni Rmswmy

More information

Version 001 test-1 swinney (57010) 1. is constant at m/s.

Version 001 test-1 swinney (57010) 1. is constant at m/s. Version 001 es-1 swinne (57010) 1 This prin-ou should hve 20 quesions. Muliple-choice quesions m coninue on he nex column or pge find ll choices before nswering. CubeUniVec1x76 001 10.0 poins Acubeis1.4fee

More information

Procedia Computer Science

Procedia Computer Science Procedi Compuer Science 00 (0) 000 000 Procedi Compuer Science www.elsevier.com/loce/procedi The Third Informion Sysems Inernionl Conference The Exisence of Polynomil Soluion of he Nonliner Dynmicl Sysems

More information

A new model for solving fuzzy linear fractional programming problem with ranking function

A new model for solving fuzzy linear fractional programming problem with ranking function J. ppl. Res. Ind. Eng. Vol. 4 No. 07 89 96 Journl of pplied Reserch on Indusril Engineering www.journl-prie.com new model for solving fuzzy liner frcionl progrmming prolem wih rning funcion Spn Kumr Ds

More information

ENDOGENOUS GROWTH: Schumpeter s process of creative destruction

ENDOGENOUS GROWTH: Schumpeter s process of creative destruction Jon Vislie Ocober 20, Lecure noes, ECON 4350 ENDOGENOUS GROWTH: Schumpeer s process of creive desrucion Joseph Schumpeer mde erly conribuions wih permnen influence on our undersnding of he role of R&D;

More information

Chapter 2: Evaluative Feedback

Chapter 2: Evaluative Feedback Chper 2: Evluive Feedbck Evluing cions vs. insrucing by giving correc cions Pure evluive feedbck depends olly on he cion ken. Pure insrucive feedbck depends no ll on he cion ken. Supervised lerning is

More information

ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 2

ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 2 ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER Seion Eerise -: Coninuiy of he uiliy funion Le λ ( ) be he monooni uiliy funion defined in he proof of eisene of uiliy funion If his funion is oninuous y hen

More information

EXERCISE - 01 CHECK YOUR GRASP

EXERCISE - 01 CHECK YOUR GRASP UNIT # 09 PARABOLA, ELLIPSE & HYPERBOLA PARABOLA EXERCISE - 0 CHECK YOUR GRASP. Hin : Disnce beween direcri nd focus is 5. Given (, be one end of focl chord hen oher end be, lengh of focl chord 6. Focus

More information

An integral having either an infinite limit of integration or an unbounded integrand is called improper. Here are two examples.

An integral having either an infinite limit of integration or an unbounded integrand is called improper. Here are two examples. Improper Inegrls To his poin we hve only considered inegrls f(x) wih he is of inegrion nd b finie nd he inegrnd f(x) bounded (nd in fc coninuous excep possibly for finiely mny jump disconinuiies) An inegrl

More information

The Dynamics of Two Harvesting Species with variable Effort Rate with the Optimum Harvest Policy

The Dynamics of Two Harvesting Species with variable Effort Rate with the Optimum Harvest Policy Inernionl OPEN ACCESS Journl Of Modern Engineering Reserch (IJMER) The Dynmics of Two Hrvesing Species wih vrible Effor Re wih he Opimum Hrves Policy Brhmpl Singh; nd Professor Suni Gkkhr; Deprmen of Mhemics,

More information

Think of the Relationship Between Time and Space Again

Think of the Relationship Between Time and Space Again Repor nd Opinion, 1(3),009 hp://wwwsciencepubne sciencepub@gmilcom Think of he Relionship Beween Time nd Spce Agin Yng F-cheng Compny of Ruid Cenre in Xinjing 15 Hongxing Sree, Klmyi, Xingjing 834000,

More information

BrainDrainandFiscalCompetition: a Theoretical Model for Europe

BrainDrainandFiscalCompetition: a Theoretical Model for Europe BrinDrinndFisclCompeiion: Theoreicl Model for Europe Pierpolo Ginnoccolo Absrc In his pper we sudy Brin Drin (BD) nd Fiscl Compeiion (FC) in unified frmework for he Europen Union (EU) specific conex. Poenil

More information

The order of reaction is defined as the number of atoms or molecules whose concentration change during the chemical reaction.

The order of reaction is defined as the number of atoms or molecules whose concentration change during the chemical reaction. www.hechemisryguru.com Re Lw Expression Order of Recion The order of recion is defined s he number of oms or molecules whose concenrion chnge during he chemicl recion. Or The ol number of molecules or

More information

M r. d 2. R t a M. Structural Mechanics Section. Exam CT5141 Theory of Elasticity Friday 31 October 2003, 9:00 12:00 hours. Problem 1 (3 points)

M r. d 2. R t a M. Structural Mechanics Section. Exam CT5141 Theory of Elasticity Friday 31 October 2003, 9:00 12:00 hours. Problem 1 (3 points) Delf Universiy of Technology Fculy of Civil Engineering nd Geosciences Srucurl echnics Secion Wrie your nme nd sudy numer he op righ-hnd of your work. Exm CT5 Theory of Elsiciy Fridy Ocoer 00, 9:00 :00

More information

GENERALIZATION OF SOME INEQUALITIES VIA RIEMANN-LIOUVILLE FRACTIONAL CALCULUS

GENERALIZATION OF SOME INEQUALITIES VIA RIEMANN-LIOUVILLE FRACTIONAL CALCULUS - TAMKANG JOURNAL OF MATHEMATICS Volume 5, Number, 7-5, June doi:5556/jkjm555 Avilble online hp://journlsmhkueduw/ - - - GENERALIZATION OF SOME INEQUALITIES VIA RIEMANN-LIOUVILLE FRACTIONAL CALCULUS MARCELA

More information

1. Introduction. 1 b b

1. Introduction. 1 b b Journl of Mhemicl Inequliies Volume, Number 3 (007), 45 436 SOME IMPROVEMENTS OF GRÜSS TYPE INEQUALITY N. ELEZOVIĆ, LJ. MARANGUNIĆ AND J. PEČARIĆ (communiced b A. Čižmešij) Absrc. In his pper some inequliies

More information

MAT 266 Calculus for Engineers II Notes on Chapter 6 Professor: John Quigg Semester: spring 2017

MAT 266 Calculus for Engineers II Notes on Chapter 6 Professor: John Quigg Semester: spring 2017 MAT 66 Clculus for Engineers II Noes on Chper 6 Professor: John Quigg Semeser: spring 7 Secion 6.: Inegrion by prs The Produc Rule is d d f()g() = f()g () + f ()g() Tking indefinie inegrls gives [f()g

More information

Hermite-Hadamard-Fejér type inequalities for convex functions via fractional integrals

Hermite-Hadamard-Fejér type inequalities for convex functions via fractional integrals Sud. Univ. Beş-Bolyi Mh. 6(5, No. 3, 355 366 Hermie-Hdmrd-Fejér ype inequliies for convex funcions vi frcionl inegrls İmd İşcn Asrc. In his pper, firsly we hve eslished Hermie Hdmrd-Fejér inequliy for

More information

Properties of Logarithms. Solving Exponential and Logarithmic Equations. Properties of Logarithms. Properties of Logarithms. ( x)

Properties of Logarithms. Solving Exponential and Logarithmic Equations. Properties of Logarithms. Properties of Logarithms. ( x) Properies of Logrihms Solving Eponenil nd Logrihmic Equions Properies of Logrihms Produc Rule ( ) log mn = log m + log n ( ) log = log + log Properies of Logrihms Quoien Rule log m = logm logn n log7 =

More information

T. J. HOLMES AND T. J. KEHOE INTERNATIONAL TRADE AND PAYMENTS THEORY FALL 2011 EXAMINATION

T. J. HOLMES AND T. J. KEHOE INTERNATIONAL TRADE AND PAYMENTS THEORY FALL 2011 EXAMINATION ECON 841 T. J. HOLMES AND T. J. KEHOE INTERNATIONAL TRADE AND PAYMENTS THEORY FALL 211 EXAMINATION This exam has wo pars. Each par has wo quesions. Please answer one of he wo quesions in each par for a

More information

P441 Analytical Mechanics - I. Coupled Oscillators. c Alex R. Dzierba

P441 Analytical Mechanics - I. Coupled Oscillators. c Alex R. Dzierba Lecure 3 Mondy - Deceber 5, 005 Wrien or ls upded: Deceber 3, 005 P44 Anlyicl Mechnics - I oupled Oscillors c Alex R. Dzierb oupled oscillors - rix echnique In Figure we show n exple of wo coupled oscillors,

More information

RESPONSE UNDER A GENERAL PERIODIC FORCE. When the external force F(t) is periodic with periodτ = 2π

RESPONSE UNDER A GENERAL PERIODIC FORCE. When the external force F(t) is periodic with periodτ = 2π RESPONSE UNDER A GENERAL PERIODIC FORCE When he exernl force F() is periodic wih periodτ / ω,i cn be expnded in Fourier series F( ) o α ω α b ω () where τ F( ) ω d, τ,,,... () nd b τ F( ) ω d, τ,,... (3)

More information

Honours Introductory Maths Course 2011 Integration, Differential and Difference Equations

Honours Introductory Maths Course 2011 Integration, Differential and Difference Equations Honours Inroducory Mhs Course 0 Inegrion, Differenil nd Difference Equions Reding: Ching Chper 4 Noe: These noes do no fully cover he meril in Ching, u re men o supplemen your reding in Ching. Thus fr

More information

Asymptotic relationship between trajectories of nominal and uncertain nonlinear systems on time scales

Asymptotic relationship between trajectories of nominal and uncertain nonlinear systems on time scales Asympoic relionship beween rjecories of nominl nd uncerin nonliner sysems on ime scles Fim Zohr Tousser 1,2, Michel Defoor 1, Boudekhil Chfi 2 nd Mohmed Djemï 1 Absrc This pper sudies he relionship beween

More information

Mathematics 805 Final Examination Answers

Mathematics 805 Final Examination Answers . 5 poins Se he Weiersrss M-es. Mhemics 85 Finl Eminion Answers Answer: Suppose h A R, nd f n : A R. Suppose furher h f n M n for ll A, nd h Mn converges. Then f n converges uniformly on A.. 5 poins Se

More information

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

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

More information

1 Sterile Resources. This is the simplest case of exhaustion of a finite resource. We will use the terminology

1 Sterile Resources. This is the simplest case of exhaustion of a finite resource. We will use the terminology Cmbridge Universiy Press 978--5-8997-7 - Susinble Nurl Resource Mngemen for Scieniss nd Engineers Excerp More informion Serile Resources In his chper, we inroduce he simple concepion of scrce resource,

More information

Solutions for Nonlinear Partial Differential Equations By Tan-Cot Method

Solutions for Nonlinear Partial Differential Equations By Tan-Cot Method IOSR Journl of Mhemics (IOSR-JM) e-issn: 78-578. Volume 5, Issue 3 (Jn. - Feb. 13), PP 6-11 Soluions for Nonliner Pril Differenil Equions By Tn-Co Mehod Mhmood Jwd Abdul Rsool Abu Al-Sheer Al -Rfidin Universiy

More information

[5] Solving Multiple Linear Equations A system of m linear equations and n unknown variables:

[5] Solving Multiple Linear Equations A system of m linear equations and n unknown variables: [5] Solving Muliple Liner Equions A syse of liner equions nd n unknown vribles: + + + nn = b + + + = b n n : + + + nn = b n n A= b, where A =, : : : n : : : : n = : n A = = = ( ) where, n j = ( ); = :

More information

How to Prove the Riemann Hypothesis Author: Fayez Fok Al Adeh.

How to Prove the Riemann Hypothesis Author: Fayez Fok Al Adeh. How o Prove he Riemnn Hohesis Auhor: Fez Fok Al Adeh. Presiden of he Srin Cosmologicl Socie P.O.Bo,387,Dmscus,Sri Tels:963--77679,735 Emil:hf@scs-ne.org Commens: 3 ges Subj-Clss: Funcionl nlsis, comle

More information

Some basic notation and terminology. Deterministic Finite Automata. COMP218: Decision, Computation and Language Note 1

Some basic notation and terminology. Deterministic Finite Automata. COMP218: Decision, Computation and Language Note 1 COMP28: Decision, Compuion nd Lnguge Noe These noes re inended minly s supplemen o he lecures nd exooks; hey will e useful for reminders ou noion nd erminology. Some sic noion nd erminology An lphe is

More information

The Optimal Trade Bargaining Strategies in the. Negotiation of DDA*

The Optimal Trade Bargaining Strategies in the. Negotiation of DDA* The Opiml Trde rgining regies in he egoiion of * Young-Hn Kim** ugus 003 bsrcs: This pper exmines he opiml rde negoiion sregies in he rde negoiion involving muli-pries such s oh evelopmen gend which is

More information

14. The fundamental theorem of the calculus

14. The fundamental theorem of the calculus 4. The funmenl heorem of he clculus V 20 00 80 60 40 20 0 0 0.2 0.4 0.6 0.8 v 400 200 0 0 0.2 0.5 0.8 200 400 Figure : () Venriculr volume for subjecs wih cpciies C = 24 ml, C = 20 ml, C = 2 ml n (b) he

More information

Journal of Mathematical Analysis and Applications. Two normality criteria and the converse of the Bloch principle

Journal of Mathematical Analysis and Applications. Two normality criteria and the converse of the Bloch principle J. Mh. Anl. Appl. 353 009) 43 48 Conens liss vilble ScienceDirec Journl of Mhemicl Anlysis nd Applicions www.elsevier.com/loce/jm Two normliy crieri nd he converse of he Bloch principle K.S. Chrk, J. Rieppo

More information

Transforms II - Wavelets Preliminary version please report errors, typos, and suggestions for improvements

Transforms II - Wavelets Preliminary version please report errors, typos, and suggestions for improvements EECS 3 Digil Signl Processing Universiy of Cliforni, Berkeley: Fll 007 Gspr November 4, 007 Trnsforms II - Wveles Preliminry version plese repor errors, ypos, nd suggesions for improvemens We follow n

More information

A Simple Method to Solve Quartic Equations. Key words: Polynomials, Quartics, Equations of the Fourth Degree INTRODUCTION

A Simple Method to Solve Quartic Equations. Key words: Polynomials, Quartics, Equations of the Fourth Degree INTRODUCTION Ausrlin Journl of Bsic nd Applied Sciences, 6(6): -6, 0 ISSN 99-878 A Simple Mehod o Solve Quric Equions Amir Fhi, Poo Mobdersn, Rhim Fhi Deprmen of Elecricl Engineering, Urmi brnch, Islmic Ad Universi,

More information

3 Motion with constant acceleration: Linear and projectile motion

3 Motion with constant acceleration: Linear and projectile motion 3 Moion wih consn ccelerion: Liner nd projecile moion cons, In he precedin Lecure we he considered moion wih consn ccelerion lon he is: Noe h,, cn be posiie nd neie h leds o rie of behiors. Clerl similr

More information

ON NEW INEQUALITIES OF SIMPSON S TYPE FOR FUNCTIONS WHOSE SECOND DERIVATIVES ABSOLUTE VALUES ARE CONVEX

ON NEW INEQUALITIES OF SIMPSON S TYPE FOR FUNCTIONS WHOSE SECOND DERIVATIVES ABSOLUTE VALUES ARE CONVEX Journl of Applied Mhemics, Sisics nd Informics JAMSI), 9 ), No. ON NEW INEQUALITIES OF SIMPSON S TYPE FOR FUNCTIONS WHOSE SECOND DERIVATIVES ABSOLUTE VALUES ARE CONVEX MEHMET ZEKI SARIKAYA, ERHAN. SET

More information

Essential Microeconomics : OPTIMAL CONTROL 1. Consider the following class of optimization problems

Essential Microeconomics : OPTIMAL CONTROL 1. Consider the following class of optimization problems Essenial Microeconomics -- 6.5: OPIMAL CONROL Consider he following class of opimizaion problems Max{ U( k, x) + U+ ( k+ ) k+ k F( k, x)}. { x, k+ } = In he language of conrol heory, he vecor k is he vecor

More information

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities:

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities: Mah 4 Eam Review Problems Problem. Calculae he 3rd Taylor polynomial for arcsin a =. Soluion. Le f() = arcsin. For his problem, we use he formula f() + f () + f ()! + f () 3! for he 3rd Taylor polynomial

More information

How to prove the Riemann Hypothesis

How to prove the Riemann Hypothesis Scholrs Journl of Phsics, Mhemics nd Sisics Sch. J. Phs. Mh. S. 5; (B:5-6 Scholrs Acdemic nd Scienific Publishers (SAS Publishers (An Inernionl Publisher for Acdemic nd Scienific Resources *Corresonding

More information

SOME USEFUL MATHEMATICS

SOME USEFUL MATHEMATICS SOME USEFU MAHEMAICS SOME USEFU MAHEMAICS I is esy o mesure n preic he behvior of n elecricl circui h conins only c volges n currens. However, mos useful elecricl signls h crry informion vry wih ime. Since

More information

FURTHER GENERALIZATIONS. QI Feng. The value of the integral of f(x) over [a; b] can be estimated in a variety ofways. b a. 2(M m)

FURTHER GENERALIZATIONS. QI Feng. The value of the integral of f(x) over [a; b] can be estimated in a variety ofways. b a. 2(M m) Univ. Beogrd. Pul. Elekroehn. Fk. Ser. M. 8 (997), 79{83 FUTHE GENEALIZATIONS OF INEQUALITIES FO AN INTEGAL QI Feng Using he Tylor's formul we prove wo inegrl inequliies, h generlize K. S. K. Iyengr's

More information

Available online at Pelagia Research Library. Advances in Applied Science Research, 2011, 2 (3):

Available online at   Pelagia Research Library. Advances in Applied Science Research, 2011, 2 (3): Avilble online www.pelgireserchlibrry.com Pelgi Reserch Librry Advnces in Applied Science Reserch 0 (): 5-65 ISSN: 0976-860 CODEN (USA): AASRFC A Mhemicl Model of For Species Syn-Ecosymbiosis Comprising

More information

For the reaction, R P, the is given by,

For the reaction, R P, the is given by, Dr JADU SAMUEL CHEMICAL KINETICS Inroducion Chemicl ineics is brnch of physicl chemisry, which dels wih he sudy of he re of chemicl recions nd he vrious fcors ffecing i Such sudies lso enble us o elucide

More information

T-Match: Matching Techniques For Driving Yagi-Uda Antennas: T-Match. 2a s. Z in. (Sections 9.5 & 9.7 of Balanis)

T-Match: Matching Techniques For Driving Yagi-Uda Antennas: T-Match. 2a s. Z in. (Sections 9.5 & 9.7 of Balanis) 3/0/018 _mch.doc Pge 1 of 6 T-Mch: Mching Techniques For Driving Ygi-Ud Anenns: T-Mch (Secions 9.5 & 9.7 of Blnis) l s l / l / in The T-Mch is shun-mching echnique h cn be used o feed he driven elemen

More information

Chapter 2. First Order Scalar Equations

Chapter 2. First Order Scalar Equations Chaper. Firs Order Scalar Equaions We sar our sudy of differenial equaions in he same way he pioneers in his field did. We show paricular echniques o solve paricular ypes of firs order differenial equaions.

More information

Endogenous Formation of Limit Order Books: Dynamics Between Trades.

Endogenous Formation of Limit Order Books: Dynamics Between Trades. Endogenous Formion of Limi Order Books: Dynmics Beween Trdes. Romn Gyduk nd Sergey Ndochiy Curren version: June 9, 7 Originl version: My 6, 6 Absrc In his work, we presen coninuous-ime lrge-populion gme

More information

Soliton Scattering on the External Potential in Weakly Nonlocal Nonlinear Media

Soliton Scattering on the External Potential in Weakly Nonlocal Nonlinear Media Mlysin Journl of Mhemicl Sciences 1(S) Februry: 219 226 (216) Specil Issue: The 3 rd Inernionl Conference on Mhemicl Applicions in Engineering 214 (ICMAE 14) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES

More information

10. State Space Methods

10. State Space Methods . Sae Space Mehods. Inroducion Sae space modelling was briefly inroduced in chaper. Here more coverage is provided of sae space mehods before some of heir uses in conrol sysem design are covered in he

More information

Expert Advice for Amateurs

Expert Advice for Amateurs Exper Advice for Amaeurs Ernes K. Lai Online Appendix - Exisence of Equilibria The analysis in his secion is performed under more general payoff funcions. Wihou aking an explici form, he payoffs of he

More information

The general Solow model

The general Solow model The general Solow model Back o a closed economy In he basic Solow model: no growh in GDP per worker in seady sae This conradics he empirics for he Wesern world (sylized fac #5) In he general Solow model:

More information

Phys 110. Answers to even numbered problems on Midterm Map

Phys 110. Answers to even numbered problems on Midterm Map Phys Answers o een numbered problems on Miderm Mp. REASONING The word per indices rio, so.35 mm per dy mens.35 mm/d, which is o be epressed s re in f/cenury. These unis differ from he gien unis in boh

More information

International Transmission of Investment-Speci c Technology Shocks with Incomplete Asset Markets. Draft Copy - Not for Circulation or Citation

International Transmission of Investment-Speci c Technology Shocks with Incomplete Asset Markets. Draft Copy - Not for Circulation or Citation Inernionl Trnsmission of Invesmen-Speci c Technology Shocks wih Incomplee sse Mrkes Drf Copy - No for Circulion or Ciion Enrique Mrínez-Grcí y ederl Reserve Bnk of Dlls irs Drf: Sepember, Curren Drf: ebrury,

More information

The Finite Element Method for the Analysis of Non-Linear and Dynamic Systems

The Finite Element Method for the Analysis of Non-Linear and Dynamic Systems Swiss Federl Insiue of Pge 1 The Finie Elemen Mehod for he Anlysis of Non-Liner nd Dynmic Sysems Prof. Dr. Michel Hvbro Fber Dr. Nebojs Mojsilovic Swiss Federl Insiue of ETH Zurich, Swizerlnd Mehod of

More information

2.7. Some common engineering functions. Introduction. Prerequisites. Learning Outcomes

2.7. Some common engineering functions. Introduction. Prerequisites. Learning Outcomes Some common engineering funcions 2.7 Inroducion This secion provides a caalogue of some common funcions ofen used in Science and Engineering. These include polynomials, raional funcions, he modulus funcion

More information

S Radio transmission and network access Exercise 1-2

S Radio transmission and network access Exercise 1-2 S-7.330 Rdio rnsmission nd nework ccess Exercise 1 - P1 In four-symbol digil sysem wih eqully probble symbols he pulses in he figure re used in rnsmission over AWGN-chnnel. s () s () s () s () 1 3 4 )

More information

HUI-HSIUNG KUO, ANUWAT SAE-TANG, AND BENEDYKT SZOZDA

HUI-HSIUNG KUO, ANUWAT SAE-TANG, AND BENEDYKT SZOZDA Communicions on Sochsic Anlysis Vol 6, No 4 2012 603-614 Serils Publicions wwwserilspublicionscom THE ITÔ FORMULA FOR A NEW STOCHASTIC INTEGRAL HUI-HSIUNG KUO, ANUWAT SAE-TANG, AND BENEDYKT SZOZDA Absrc

More information