A Simple Version of the Lucas Model
|
|
- Μελίνα Σπυριδούλα Γιάγκος
- 5 χρόνια πριν
- Προβολές:
Transcript
1 Aricle non publié May 11, 2007 A Simple Version of he Lucas Model Mazamba Tédie Absrac This discree-ime version of he Lucas model do no include he physical capial. We inregrae in he uiliy funcion he leisure ime. We examine he social planer and he compeiive equilibrium. The main conclusions are ha he consumer always chooses o rain, he human capial growh rae increases wih he exernaliy and he qualiy of raining, and ha he equilibrium defined by Lucas 1988 is a compeiive equilibrium under some condiions. 1. Inroducion This model is a discree-ime version of he model of Lucas wihou physical capial. The consumer devoes he fracion θ of his non-leisure ime o curren producion and he remaining 1 θ o human capial accumulaion. We consider ha he uiliy of consumer increases wih his leisure ime. This assumpion implies ha he uiliy increases wih he human capial accumulaion ha is wih he raining. Following Lucas 1988, he human capial has : 1- an exernal effec hrough he exernaliy. 2- an inernal effec which increases he produciviy hrough he medium of raining. This paper is organized ino seven secions. Secion 2 inroduces assumpions and examines he social planer problem. Afer defining he equilibrium according o Lucas and Romer and compeiive equilibrium, secion 3 shows ha an equilibrium is a compeiive equilibrium. The following secions conclude and give some proofs. 2. Social Planer The uiliy funcion is concave 0 < µ < 1 and 0 < ζ < 1 : Subjec o, max β c µ 1 θ ζ The auhor hanks Gourdel, P. Universiy of Paris 1, CERMSEM & Le Van, C. Universiy of Paris 1, CNRS-CERMSEM for helpful commens during he course of his presenaion. He akes responsabiliy for any remaining errors Keywords : Human capial, Economic Growh, Compeiive Equilibrium, Equilibrium 1
2 We make he following assumpions : 0, 0 c h γ θ h α h +1 = h 1 + λφ1 θ 0 < α < 1, γ 0, 0 θ 1, > 0 given H1 : φ is concave, increasing and wice coninuously differeniable. φ0 = 0, φ1 = 1, λ > 0 and φ 0 > 1. H2 : 0 < β1 + λ α+γµ < 1. The parameer λ balanced he echnology of raining. Le us define he funcion ψ : [1, 1 + λ] [0, 1] by ψx = 1 φ 1 1 x 1. Where φ 1 denoes he inverse funcion of φ. ψ is clearly decreasing. I is easy o verify ha : ψ1 = 1 and ψ1 + λ = 0. λ This funcion gives he working ime when he human capial grows by facor x. ψ is coninuously differeniable, decreasing, wih ψ 1 = 1, λφ 0 ψ 1 + λ = 1 and λφ 1 concave. The problem becomes : Subjec o : max β h α+γµ ψ h αµ +1 1 ψ h ζ +1 h h 0, h h +1 h 1 + λ and > 0 given. Proposiion 1 Under H1-H2, here exiss a soluion. Proof. See he appendix 1. Proposiion 2 Each opimal pah of human capial h =, h 1,..., h,... verifies < h 1 < < h <. Proof. See he appendix 2. Proposiion 3 Under assumpions H1,H2 and H3 : α + γµ 1 < 0 : a The opimal pah of human capial has a consan growh rae, sricly posiive and which increases wih parameer γ. b The opimal pah of human capial is an increasing funcion of λ. Proof. We prove a in several sages. 1. Le V be he Value Funcion of our problem of opimal growh : V = max β h α+γµ ψ h αµ +1 1 ψ h ζ +1 h h Under he consrains : 0, h h +1 h 1 + λ, and > 0 given. This value funcion saisfied see Le Van & Morhaim 2002 : 2
3 V = Ah α+γµ 0 Le us consider, he opimal value h 1 of he human capial a dae 1 is he soluion of he following equaion : { αµ ζ } α+γµ h α+γµ 0 max y [h0,1+λ ] ψ y 1 ψ y + βa y We can see ha h 1 = ν where ν is he soluion of he equaion : max { ψz αµ 1 ψz ζ + βaγz α+γµ}. Since he problem is saionary, if {h } is he opimal pah, hen : h = ν,. 2. We know ha he human capial pah verifies h +1 > h, 0. The Euler equaion is given by : h α+γµ 1 ψ h +1 h Ψ h +1 h [ αµ = βα + γµh α+γµ 1 +1 Ψ h +2 h +1 +βh α+γµ 1 h h +1 ψ h +2 h +1 Ψ h +2 h +1 ] 1 ψ h +1 h ζψ h +1 h ψ h +2 h +1 1 ψ h +2 h +1 [ αµ 1 ψ h +2 h +1 ζψ h +2 h +1 αµ 1 ζ 1. Wih Ψ h +1 h = ψ h +1 h 1 ψ h +1 h This equaion gives he human capial growh rae ha is consan ν : 1 = ζ ψν αµ 1 ψν 1 βν α+γµ β α + α γνα+γµ 1 ψν + ψ ν βνα+γµ Le F ν = ζ ψν αµ 1 ψν 1 βν α+γµ wih Gν = β α + α γνα+γµ ψν + ψ ν βνα+γµ. Funcions F and G are decreasing since : F x = 1 βx α+γµ ζ ψ x βα+γ ψx αµ 1 ψx 2 α 1 ψx xα+γµ 1 < 0, G x = β [ α + α γx α+γµ 2 ψx α + γµ 1 ψ x x + x 1 µ] < 0. Moreover, F 1+λ = ψ x ψx α 0, lim x 1 F x = +, G1 = βα+γ λφ 0 and G1 + λ = β1 + λ α+γµ < 1 according o H2. Hence, here exiss a unique soluion ν ]1, 1 + λ[. α 3. We know ha he value funcion verifies he Bellman equaion : V h = h α+γµ max ν [1,1+λ] { ψν αµ 1 ψν ζ + βaγν α+γµ} The derivae of funcion ψν αµ 1 ψν ζ + βaγν α+γµ is cancelled : αµ ψ ν ψν ζ + ζ ν ψν αµ 1 ψν ζ 1 = βaγα + γµν α+γµ 1 When γ increases, he graph of he funcion βaγα + γµν α+γµ 1 moves o he op while he lef-hand side remains consan. Consequenly, he growh rae increases wih he parameer of he exernaliy. This ends he proof of he claim a. 4. Le us rewrie he Euler equaion : 1 = F λ x + G λ x. Noe ha λ < λ ψ λ < ψ λ and ψ λ < ψ λ. Hence, F and G are increasing wih λ. Moreover, F and G are decreasing wih ν, hen : [ dν F dλ = λ + G G / λ ν + F ] > 0 ν 3 ]
4 3. Equilibrium and Compeiive Equilibrium We inroduce he conceps of equilibrium according o Lucas and Romer and compeiive equilibrium. Take a human capial pah h = h 1,..., h,... o be given. Given h, consider he problem : Under he consrains, max c β uc, θ, 0 c G hfθ h h +1 = h 1 + λφ1 θ 0 θ 1, > 0 given The soluion h =, h 1,..., h,... of his model depends on h. In ohers words, h = Φ h. A equilibrium is a human capial pah h =,...,,... such ha h = Φh. In order o define a compeiive equilibrium, we need before o define he space of he prices which suppors his equilibrium. Observe ha all feasible pahs of consumpion c verify for all : 0 c h α+γ wih h 1 + λ. In ohers words, c belongs o : { } l c = c : sup < λ α+γ,..,+ Le l + be he se of non negaive sequences of l. The price sequence p is such as all consumpion pahs c verify + p c < +. Likewise, he wage pah w is such as w h < +. In order o saisfy hese wo condiions, we mus ake he prices space and he wages space as follows : { l 1 p = p : p 1 + λ α+γ < + } { ; l 1 w = w : w 1 + λ < + } Le us denoe l 1 +, he se of non-negaive sequences of l 1. We define a compeiive equilibrium for he model of Lucas. A collecion of sequences h, c, θ, p, w is a compeiive equilibrium if : 1. c, θ is a soluion of he consumer program : Under he consrains, max c,θ p c β uc c, θ 0, θ = ψ h +1 h 2. θ is a soluion of he firm program : 4 w θ h + Π, > 0 given
5 { + Π = max p γ θ α θ 3. Equilibrium on he goods and services marke : w θ } 0, c = γ θ α Proposiion 4 h is a equilibrium from > 0 if and only if i verifies he hree following condiions : 1. Inerioriy : 0, < +1 < 1 + λ, h 0 = > 0 2. Euler equaion 0, αµ h α+γµ 1 ψ h +1 ζ h α+γµ 1 ψ h +1 +βαµ h α+γµ 1 +1 βαµ h α+γµ βζ h α+γµ Transversaliy condiion, Proof. See he appendix 3. ψ h +1 ψ h lim + β h α+γµ 1 ψ h +1 αµ 1 αµ 1 ψ h +1 ζ ζ 1 ψ h +1 1 ψ h +1 αµ ζ 1 ψ h αµ 1 ζ ψ h +2 ψ h +2 1 ψ h αµ ζ 1 ψ h +2 ψ h +2 1 ψ h h = 0 +1 [ αµ ψ h +1 1 ψ h +1 αµ 1 ζ 1 1 ψ h +1 ] ζψ h +1 h +1 = 0 Proposiion 5 Under he assumpions of proposiion 3 and H4 : λ 1 1, here exiss β an equilibrium h which increases a consan rae ν. The equilibrium growh rae h is weaker han ha of he cenralized rae. We can associae wih his equilibrium he saionary sequence θ = ψν, a consumpion sequence c, a price sysem p, wage w such as he collecion of sequences h, c, θ, p, w is a compeiive equilibrium. Proof. 1. We know ha if h is an equilibrium hen i verifies inerioriy, he Euler equaion and he ransversaliy condiion. In addiion, le us show ha exiss a human capial sequence ha increases a consan rae and saisfies he Euler equaion. Indeed, according o Euler equaion, his rae ν mus saisfy : 1 = ζ ψν αµ 1 ψν 1 βν α+γµ βν α+γµ 1 ψν ψ ν + βνα+γµ V ν 5
6 Le F ν = ζ ψν αµ 1 ψν 1 βν α+γµ and Hν = βν α+γµ 1 ψν + ψ ν βνα+γµ. We know ha F is decreasing, lim x 1 F x = + and ha F 1 + λ = 0. We show ha H is also decreasing : ] H ν = βν [α α+γµ 2 + γµ 1 ψν ν ν ψνψ ν < 0. One has V x = ψ ν ψ ν 2 F x + Hx, V x = F x + H x, lim x 1 V x = lim x 1 F x + lim x 1 Hx = + and V 1 + λ = F 1 + λ + H1 + λ = β1 + λ α+γµ < 1 according o H2. Consequenly, here exiss a unique soluion ν which belongs o ]1, 1 + λ[. I s easy o show ha his rae is weaker han he rae of social planer program which is he soluion of he equaion : 1 = F ν + Gν, since Gν = Hν βγ α να+γµ 1 ψν. Le ψ ν h be he rajecory defined by : h 0 =, +1 = ν,. Obviously, i saisfies he inerioriy and Euler equaion. We mus show han i verifies he ransversaliy condiion o conclude ha h is an equilibirum. Now, β h α+γµ h αµ 1 ζ 1 +1 ψ h +1 ψ h +1 1 ψ h +1 h h A +1 = β h α+γµ 0 ν α+γµ ψ ννψν αµ 1 1 ψν ζ 1 Aν h α+γµ 0 ψν αµ 1 νψ ν1 ψν ζ 1 A [ β1 + λ α+γµ] Where A = αµ 1 ψ h +1 lim + β h α+γµ 1 ψ h +1 ζψ h +1. Assumpion H2 implies : αµ 1 ψ h +1 ζ 1 1 ψ h +1 A = 0 This is he ransversaliy condiion. 2. We show ha his rajecory is a compeiive equilibrium. Le us define he price pah and he wage pah, p, w by : p = β uc,θ c w = β h α+γµ 1 = µβ h α+γµ 1 ψν αµ 1 1 ψν ζ ψν αµ 1 1 ψν ζ 1 [αµ1 ψν ζψν] Where = ν. a I is easy o see ha he sequence θ defined by θ = ψν, for all, maximizes he profi of he enerprise according o p and w. b In order o prove ha he consumpion pah and he working ime pah c, θ maximize he consumer uiliy, consider : T T T = β uc, θ β uc, θ Since + β u c c = + w θ + Π and + β u c c < + w θ h + Π wih θ = ψh +1 /h, one has : T T β [h h +ζh α+γµ h +1 ζh α+γµ 1 ψ h +1 αµh α+γµ 1 αµ αµh α+γµ 1 ψ h +1 αµ 1 ψ h +1 ψ h +1 1 ψ h ψ h +1 Φ h +1 ζ 1 ψ h +1 αµ 1 1 ψ h +1 ] ζ 1 ψ h +1 ζ ψ h +1
7 αµ 1 Where Φ h +1 = ψ h +1 Using he Euler equaion, we obain : T β T h α+γµ 1 T [ αµ 1 ψ h T +1 1 ψ h +1 ψ h T +1 ζψ h T +1 αµ 1 ] ζ 1 ψ h T +1 ψ h +1 1 ψ h T +1 h +1 ζ 1 ψ h +1. = β T wt ψ h T +1 h +1 T By definiion of w T. According o he ransversaliy condiion, we conclude ha lim T + T 0. c The goods marke is balanced since for all : c = γ θ α. d To complee his proof, le us show ha p belongs o l 1 p and w belongs o l 1 w. One has : p 1 + λ α+γ < µb h α+γµ 1 0 [ β1 + λ α+γµ ] < + According o H2 and wih B = ψν αµ 1 1 ψν ζ. Likewise, w 1 + λ = C h α+γµ 1 0 [ β1 + λν α+γµ 1 ] < + According o H4, 1 < ν < 1 + λ and where C = ψν αµ 1 1 ψν ζ 1 [αµ1 ψν ζψν]. This ends he proof. A collecion of pahs h, c, θ, p, w is a compeiive equilibrium. 4. Conclusion This dicree-ime version of he Lucas model solves he social planer program and shows ha an equilibrium for his model is a compeiive equilibrium. Moreover, he model concludes ha : 1- when he uiliy depends on consumpion and leisure ime, he consumer always prefers o increase his skill level. 2- he qualiy of raining increases he human capial growh rae. 3- he exernaliy is relaed posiively o he human capial growh rae hrough i conribuion o he produciviy of all facors of producion. 5. Appendix 1 I s easy o verify ha if c = c 0, c 1,..., c,... is a feasible pah of consumpion, hen :, 0 c h α+γ λ α+γ. This shows ha all feasible pahs of consumpion are compac for his opology. Assumpion H2 ensures ha funcion : Uc = β uc, θ is coninuous for he produc opology. Exisence of he soluion rise from hese resuls. 7
8 6. Appendix 2 I s enough o show ha for any iniial condiions, > 0, he saionary pah,,...,,... is no opimal. Le ɛ > 0 be a sufficienly small number such as 1 + λφɛ 1 + λ and a pah h =, h 1,..., h,... which verify h = 1 + λφɛ, 1. The consumpion pah associaed wih his human capial pah is c ɛ = c 0ɛ, c 1ɛ,..., c ɛ,... ha is : c 0ɛ = h α+γ 0 1 ɛ α and c ɛ = h α+γ λφɛ α+γ, 1. Moreover, le,,...,,... be a human capial pah and c be a consumpion pah which saisfy : c = h α+γ 0. Compare he uiliies generaed by hese sequences of consumpions, we have : ɛ = β c µ ɛ 1 ψ h ζ +1 β c µ 1 ψ1 ζ h Since ψ1 = 1, so ɛ > 0. All opimal pahs of human capial are increasing. 7. Appendix 3 We give he proof of he Proposiion 4 in several sages. 1. Le h be an equilibrium. One can show ha any equilibrium is increasing, ha is +1 >, 0 Proceed as in he previous appendix. Moreover, since he uiliy funcion verifies he Inada condiion, he opimal consumpions are sricly posiive on each dae. Hence, +1 < 1 + λ, for all. This ends he firs par of he claim. I is easy o show ha h verifies he Euler equaion see Le Van & Dana Le us show now ha he ransversaliy condiion is saisfied. Le V h be he value funcion of his program, one has : Under he consrains, V h = max β uc, θ 0 c G fθ h h +1 = h 1 + λφ1 θ 0 θ 1, > 0 given One can verify ha V h is concave and differeniable Benevise & Scheinkman 1979 and : αµ ζ V h = αµh α+γµ 1 0 ψ h 1 1 ψ h 1 αµh α+γµ 1 h αµ 1 ζ 1 0 ψ h 1 ψ h 1 1 ψ h 1 +ζh α+γµ 1 h αµ ζ ψ h 1 ψ h 1 1 ψ h 1 Moreover, since h is a equilibrium, i mus verify λ for all. Consequenly, c [ 1 + λ ] α+γ and 0 V h = β uc, θ h α+γµ 0 [β1 + λ α+γµ ] 8
9 Like V h 0 = 0, we have for all : h α+γµ 1 β1 + λ α+γµ V h V h 0 V h h Since, V h h = αµ h α+γµ 1 αµ h α+γµ 1 +ζ h α+γµ 1 +1 ψ h +1 ψ h α+γµ 1 +1 ψ h α+γµ 1 αµ ψ h +1 ψ h +1 ζ 1 ψ h +1 αµ 1 1 ψ h +1 αµ 1 ψ h +1 ζ 1 ζ and 1 + λ. Muliply he wo previous equaions by β, we obain he ransversaliy condiion : The Euler condiion implies : lim + β h α+γµ 1 ψ h +1 [ αµ 1 ψ h +1 +ζ h +1 ψ h +1 ψ h +1 lim + β h α+γµ 1 ψ h +1 [ αµ αµ 1 ψ h +1 ψ h +1 1 ψ h +1 1 ψ h +1 h +1 1 ψ h +1 αµ 1 ζ 1 ψ h +1 h ] = 0 ζ 1 1 ψ h +1 ] +1 = 0 ζψ h We prove he converse now. Le c,h and c,h be wo sequences ses wih he α. same iniial condiion. The las verifies, 0 c h γ ψ h +1 h Show ha T β uc, θ T β uc, θ 0. Observe ha u, x, y xψ y and ψ are x concave funcions, hence : T T β [h h u 1c, θ c, h h +1 + u 2c, θ θ, h h +1 ] ++1 h +1 u 1c, θ c h +1, +1 + u 2c, θ θ h h +1 Where u 1c, θ = u c c, θ and u 2c, θ = u θ c, θ. By he Euler equaion, T β T h α+γµ 1 T [ αµ 1 ψ h T +1 ψ h T +1 αµ 1 ζψ h T +1 1 ψ h T +1 h ] T ζ 1 ψ h T +1 h +1 T The ransversaliy condiion is wrien lim T + T = 0 since ψ < 0. 9
10 References [1] Barro, R., & Lee,J "Inernaional comparisons of educaional aainmen" Journal of Moneary Economics 32, [2] Benhabib, J., & Spiegel, M "The role of human capial in economic developmen : Evidence from aggregae cross-counry daa" Journal of Moneary Economics 34, [3] Le Van, C. & Morhaim, L "Opimal Growh Models wih Bounded or Unbounded Reurns : a Unifying Approach" Journal of Economic Theory 105, [4] Le Van, C., Morhaim, L. & Dimaria, C "The discree ime version of he Romer Model" Economic Theory 20, [5] Lucas, R.Jr 1988 "On he mechanics of economic developmen" Journal of Moneary Economics 22, [6] Mankiw, G., Romer, D. & Weil, D "A Conribuion o he Empirics of Economic Growh" The Quaerly Journal of Economics 107 2, [7] Romer, P "Endogenuous Technological Change" Journal of Poliical Economics 5, S71-S102. [8] Romer, P "Increasing reurns and long-run growh" Journal of Poliical Economy 94, mazambaedie@gmail.com hp://mazambaedie.free.fr 10
Appendix. The solution begins with Eq. (2.15) from the text, which we repeat here for 1, (A.1)
Aenix Aenix A: The equaion o he sock rice. The soluion egins wih Eq..5 rom he ex, which we reea here or convenience as Eq.A.: [ [ E E X, A. c α where X u ε, α γ, an c α y AR. Take execaions o Eq. A. as
Διαβάστε περισσότεραOrdinal Arithmetic: Addition, Multiplication, Exponentiation and Limit
Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit Ting Zhang Stanford May 11, 2001 Stanford, 5/11/2001 1 Outline Ordinal Classification Ordinal Addition Ordinal Multiplication Ordinal
Διαβάστε περισσότερα( ) ( t) ( 0) ( ) dw w. = = β. Then the solution of (1.1) is easily found to. wt = t+ t. We generalize this to the following nonlinear differential
Periodic oluion of van der Pol differenial equaion. by A. Arimoo Deparmen of Mahemaic Muahi Iniue of Technology Tokyo Japan in Seminar a Kiami Iniue of Technology January 8 9. Inroducion Le u conider a
Διαβάστε περισσότεραManaging Production-Inventory Systems with Scarce Resources
Managing Producion-Invenory Sysems wih Scarce Resources Online Supplemen Proof of Lemma 1: Consider he following dynamic program: where ḡ (x, z) = max { cy + E f (y, z, D)}, (7) x y min(x+u,z) f (y, z,
Διαβάστε περισσότεραNecessary and sufficient conditions for oscillation of first order nonlinear neutral differential equations
J. Mah. Anal. Appl. 321 (2006) 553 568 www.elsevier.com/locae/jmaa Necessary sufficien condiions for oscillaion of firs order nonlinear neural differenial equaions X.H. ang a,, Xiaoyan Lin b a School of
Διαβάστε περισσότερα2 Composition. Invertible Mappings
Arkansas Tech University MATH 4033: Elementary Modern Algebra Dr. Marcel B. Finan Composition. Invertible Mappings In this section we discuss two procedures for creating new mappings from old ones, namely,
Διαβάστε περισσότεραHOMEWORK 4 = G. In order to plot the stress versus the stretch we define a normalized stretch:
HOMEWORK 4 Problem a For the fast loading case, we want to derive the relationship between P zz and λ z. We know that the nominal stress is expressed as: P zz = ψ λ z where λ z = λ λ z. Therefore, applying
Διαβάστε περισσότερα= e 6t. = t 1 = t. 5 t 8L 1[ 1 = 3L 1 [ 1. L 1 [ π. = 3 π. = L 1 3s = L. = 3L 1 s t. = 3 cos(5t) sin(5t).
Worked Soluion 95 Chaper 25: The Invere Laplace Tranform 25 a From he able: L ] e 6 6 25 c L 2 ] ] L! + 25 e L 5 2 + 25] ] L 5 2 + 5 2 in(5) 252 a L 6 + 2] L 6 ( 2)] 6L ( 2)] 6e 2 252 c L 3 8 4] 3L ] 8L
Διαβάστε περισσότεραEvery set of first-order formulas is equivalent to an independent set
Every set of first-order formulas is equivalent to an independent set May 6, 2008 Abstract A set of first-order formulas, whatever the cardinality of the set of symbols, is equivalent to an independent
Διαβάστε περισσότεραA Suite of Models for Dynare Description of Models
A Suie of Models for Dynare Descripion of Models F. Collard, H. Dellas and B. Diba Version. Deparmen of Economics Universiy of Bern A REAL BUSINESS CYCLE MODEL A real Business Cycle Model The problem of
Διαβάστε περισσότεραOscillation Criteria for Nonlinear Damped Dynamic Equations on Time Scales
Oscillaion Crieria for Nonlinear Damped Dynamic Equaions on ime Scales Lynn Erbe, aher S Hassan, and Allan Peerson Absrac We presen new oscillaion crieria for he second order nonlinear damped delay dynamic
Διαβάστε περισσότεραStatistical Inference I Locally most powerful tests
Statistical Inference I Locally most powerful tests Shirsendu Mukherjee Department of Statistics, Asutosh College, Kolkata, India. shirsendu st@yahoo.co.in So far we have treated the testing of one-sided
Διαβάστε περισσότεραMath 446 Homework 3 Solutions. (1). (i): Reverse triangle inequality for metrics: Let (X, d) be a metric space and let x, y, z X.
Math 446 Homework 3 Solutions. (1). (i): Reverse triangle inequalit for metrics: Let (X, d) be a metric space and let x,, z X. Prove that d(x, z) d(, z) d(x, ). (ii): Reverse triangle inequalit for norms:
Διαβάστε περισσότερα( ) ( ) ( ) Fourier series. ; m is an integer. r(t) is periodic (T>0), r(t+t) = r(t), t Fundamental period T 0 = smallest T. Fundamental frequency ω
Fourier series e jm when m d when m ; m is an ineger. jm jm jm jm e d e e e jm jm jm jm r( is periodi (>, r(+ r(, Fundamenal period smalles Fundamenal frequeny r ( + r ( is periodi hen M M e j M, e j,
Διαβάστε περισσότεραUniform Convergence of Fourier Series Michael Taylor
Uniform Convergence of Fourier Series Michael Taylor Given f L 1 T 1 ), we consider the partial sums of the Fourier series of f: N 1) S N fθ) = ˆfk)e ikθ. k= N A calculation gives the Dirichlet formula
Διαβάστε περισσότεραThe choice of an optimal LCSCR contract involves the choice of an x L. such that the supplier chooses the LCS option when x xl
EHNIA APPENDIX AMPANY SIMPE S SHARIN NRAS Proof of emma. he choice of an opimal SR conrac involves he choice of an such ha he supplier chooses he S opion hen and he R opion hen >. When he selecs he S opion
Διαβάστε περισσότεραExample Sheet 3 Solutions
Example Sheet 3 Solutions. i Regular Sturm-Liouville. ii Singular Sturm-Liouville mixed boundary conditions. iii Not Sturm-Liouville ODE is not in Sturm-Liouville form. iv Regular Sturm-Liouville note
Διαβάστε περισσότερα16. 17. r t te 2t i t 1. 18 19 Find the derivative of the vector function. 19. r t e t cos t i e t sin t j ln t k. 31 33 Evaluate the integral.
SECTION.7 VECTOR FUNCTIONS AND SPACE CURVES.7 VECTOR FUNCTIONS AND SPACE CURVES A Click here for answers. S Click here for soluions. Copyrigh Cengage Learning. All righs reserved.. Find he domain of he
Διαβάστε περισσότεραAnaliza reakcji wybranych modeli
Bank i Kredy 43 (4), 202, 85 8 www.bankikredy.nbp.pl www.bankandcredi.nbp.pl Analiza reakcji wybranych modeli 86 - - - srice - - - per capia research and developmen dynamic sochasic general equilibrium
Διαβάστε περισσότερα6.1. Dirac Equation. Hamiltonian. Dirac Eq.
6.1. Dirac Equation Ref: M.Kaku, Quantum Field Theory, Oxford Univ Press (1993) η μν = η μν = diag(1, -1, -1, -1) p 0 = p 0 p = p i = -p i p μ p μ = p 0 p 0 + p i p i = E c 2 - p 2 = (m c) 2 H = c p 2
Διαβάστε περισσότεραNonlinear Analysis: Modelling and Control, 2013, Vol. 18, No. 4,
Nonlinear Analysis: Modelling and Conrol, 23, Vol. 8, No. 4, 493 58 493 Exisence and uniqueness of soluions for a singular sysem of higher-order nonlinear fracional differenial equaions wih inegral boundary
Διαβάστε περισσότεραPractice Exam 2. Conceptual Questions. 1. State a Basic identity and then verify it. (a) Identity: Solution: One identity is csc(θ) = 1
Conceptual Questions. State a Basic identity and then verify it. a) Identity: Solution: One identity is cscθ) = sinθ) Practice Exam b) Verification: Solution: Given the point of intersection x, y) of the
Διαβάστε περισσότεραProduct Innovation and Optimal Capital Investment under Uncertainty. by Chia-Yu Liao Advisor Ching-Tang Wu
Produc Innovaion and Opimal Capial Invesmen under Uncerainy by Chia-Yu Liao Advisor Ching-Tang Wu Insiue of Saisics, Naional Universiy of Kaohsiung Kaohsiung, Taiwan 8 R.O.C. July 2006 Conens Z`Š zz`š
Διαβάστε περισσότεραLecture 2. Soundness and completeness of propositional logic
Lecture 2 Soundness and completeness of propositional logic February 9, 2004 1 Overview Review of natural deduction. Soundness and completeness. Semantics of propositional formulas. Soundness proof. Completeness
Διαβάστε περισσότερα4.6 Autoregressive Moving Average Model ARMA(1,1)
84 CHAPTER 4. STATIONARY TS MODELS 4.6 Autoregressive Moving Average Model ARMA(,) This section is an introduction to a wide class of models ARMA(p,q) which we will consider in more detail later in this
Διαβάστε περισσότεραLinear singular perturbations of hyperbolic-parabolic type
BULETINUL ACADEMIEI DE ŞTIINŢE A REPUBLICII MOLDOVA. MATEMATICA Number 4, 3, Pages 95 11 ISSN 14 7696 Linear singular perurbaions of hyperbolic-parabolic ype Perjan A. Absrac. We sudy he behavior of soluions
Διαβάστε περισσότεραPositive solutions for a multi-point eigenvalue. problem involving the one dimensional
Elecronic Journal of Qualiaive Theory of Differenial Equaions 29, No. 4, -3; h://www.mah.u-szeged.hu/ejqde/ Posiive soluions for a muli-oin eigenvalue roblem involving he one dimensional -Lalacian Youyu
Διαβάστε περισσότεραThe Euler Equations! λ 1. λ 2. λ 3. ρ ρu. E = e + u 2 /2. E + p ρ. = de /dt. = dh / dt; h = h( T ); c p. / c v. ; γ = c p. p = ( γ 1)ρe. c v.
hp://www.nd.ed/~gryggva/cfd-corse/ The Eler Eqaions The Eler Eqaions The Eler eqaions for D flow: + + p = x E E + p where Define E = e + / H = h + /; h = e + p/ Gréar Tryggvason Spring 3 Ideal Gas: p =
Διαβάστε περισσότεραST5224: Advanced Statistical Theory II
ST5224: Advanced Statistical Theory II 2014/2015: Semester II Tutorial 7 1. Let X be a sample from a population P and consider testing hypotheses H 0 : P = P 0 versus H 1 : P = P 1, where P j is a known
Διαβάστε περισσότεραProblem Set 3: Solutions
CMPSCI 69GG Applied Information Theory Fall 006 Problem Set 3: Solutions. [Cover and Thomas 7.] a Define the following notation, C I p xx; Y max X; Y C I p xx; Ỹ max I X; Ỹ We would like to show that C
Διαβάστε περισσότεραC.S. 430 Assignment 6, Sample Solutions
C.S. 430 Assignment 6, Sample Solutions Paul Liu November 15, 2007 Note that these are sample solutions only; in many cases there were many acceptable answers. 1 Reynolds Problem 10.1 1.1 Normal-order
Διαβάστε περισσότεραJ. of Math. (PRC) u(t k ) = I k (u(t k )), k = 1, 2,, (1.6) , [3, 4] (1.1), (1.2), (1.3), [6 8]
Vol 36 ( 216 ) No 3 J of Mah (PR) 1, 2, 3 (1, 4335) (2, 4365) (3, 431) :,,,, : ; ; ; MR(21) : 35A1; 35A2 : O17529 : A : 255-7797(216)3-591-7 1 d d [x() g(, x )] = f(, x ),, (11) x = ϕ(), [ r, ], (12) x(
Διαβάστε περισσότεραPhys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required)
Phys460.nb 81 ψ n (t) is still the (same) eigenstate of H But for tdependent H. The answer is NO. 5.5.5. Solution for the tdependent Schrodinger s equation If we assume that at time t 0, the electron starts
Διαβάστε περισσότεραMath221: HW# 1 solutions
Math: HW# solutions Andy Royston October, 5 7.5.7, 3 rd Ed. We have a n = b n = a = fxdx = xdx =, x cos nxdx = x sin nx n sin nxdx n = cos nx n = n n, x sin nxdx = x cos nx n + cos nxdx n cos n = + sin
Διαβάστε περισσότεραOscillation criteria for two-dimensional system of non-linear ordinary differential equations
Elecronic Journal of Qualiaive Theory of Differenial Equaions 216, No. 52, 1 17; doi: 1.14232/ejqde.216.1.52 hp://www.mah.u-szeged.hu/ejqde/ Oscillaion crieria for wo-dimensional sysem of non-linear ordinary
Διαβάστε περισσότεραANSWERSHEET (TOPIC = DIFFERENTIAL CALCULUS) COLLECTION #2. h 0 h h 0 h h 0 ( ) g k = g 0 + g 1 + g g 2009 =?
Teko Classes IITJEE/AIEEE Maths by SUHAAG SIR, Bhopal, Ph (0755) 3 00 000 www.tekoclasses.com ANSWERSHEET (TOPIC DIFFERENTIAL CALCULUS) COLLECTION # Question Type A.Single Correct Type Q. (A) Sol least
Διαβάστε περισσότεραderivation of the Laplacian from rectangular to spherical coordinates
derivation of the Laplacian from rectangular to spherical coordinates swapnizzle 03-03- :5:43 We begin by recognizing the familiar conversion from rectangular to spherical coordinates (note that φ is used
Διαβάστε περισσότεραThe challenges of non-stable predicates
The challenges of non-stable predicates Consider a non-stable predicate Φ encoding, say, a safety property. We want to determine whether Φ holds for our program. The challenges of non-stable predicates
Διαβάστε περισσότερα12. Radon-Nikodym Theorem
Tutorial 12: Radon-Nikodym Theorem 1 12. Radon-Nikodym Theorem In the following, (Ω, F) is an arbitrary measurable space. Definition 96 Let μ and ν be two (possibly complex) measures on (Ω, F). We say
Διαβάστε περισσότεραSection 8.3 Trigonometric Equations
99 Section 8. Trigonometric Equations Objective 1: Solve Equations Involving One Trigonometric Function. In this section and the next, we will exple how to solving equations involving trigonometric functions.
Διαβάστε περισσότεραFinite Field Problems: Solutions
Finite Field Problems: Solutions 1. Let f = x 2 +1 Z 11 [x] and let F = Z 11 [x]/(f), a field. Let Solution: F =11 2 = 121, so F = 121 1 = 120. The possible orders are the divisors of 120. Solution: The
Διαβάστε περισσότεραEE512: Error Control Coding
EE512: Error Control Coding Solution for Assignment on Finite Fields February 16, 2007 1. (a) Addition and Multiplication tables for GF (5) and GF (7) are shown in Tables 1 and 2. + 0 1 2 3 4 0 0 1 2 3
Διαβάστε περισσότεραCongruence Classes of Invertible Matrices of Order 3 over F 2
International Journal of Algebra, Vol. 8, 24, no. 5, 239-246 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/.2988/ija.24.422 Congruence Classes of Invertible Matrices of Order 3 over F 2 Ligong An and
Διαβάστε περισσότεραFractional Colorings and Zykov Products of graphs
Fractional Colorings and Zykov Products of graphs Who? Nichole Schimanski When? July 27, 2011 Graphs A graph, G, consists of a vertex set, V (G), and an edge set, E(G). V (G) is any finite set E(G) is
Διαβάστε περισσότεραOn Strong Product of Two Fuzzy Graphs
Inernaional Journal of Scienific and Research Publicaions, Volume 4, Issue 10, Ocober 014 1 ISSN 50-3153 On Srong Produc of Two Fuzzy Graphs Dr. K. Radha* Mr.S. Arumugam** * P.G & Research Deparmen of
Διαβάστε περισσότεραBounding Nonsplitting Enumeration Degrees
Bounding Nonsplitting Enumeration Degrees Thomas F. Kent Andrea Sorbi Università degli Studi di Siena Italia July 18, 2007 Goal: Introduce a form of Σ 0 2-permitting for the enumeration degrees. Till now,
Διαβάστε περισσότεραNowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in
Nowhere-zero flows Let be a digraph, Abelian group. A Γ-circulation in is a mapping : such that, where, and : tail in X, head in : tail in X, head in A nowhere-zero Γ-flow is a Γ-circulation such that
Διαβάστε περισσότεραUniversity of Washington Department of Chemistry Chemistry 553 Spring Quarter 2010 Homework Assignment 3 Due 04/26/10
Universiy of Washingon Deparmen of Chemisry Chemisry 553 Spring Quarer 1 Homework Assignmen 3 Due 4/6/1 v e v e A s ds: a) Show ha for large 1 and, (i.e. 1 >> and >>) he velociy auocorrelaion funcion 1)
Διαβάστε περισσότεραLevin Lin(1992) Oh(1996),Wu(1996) Papell(1997) Im, Pesaran Shin(1996) Canzoneri, Cumby Diba(1999) Lee, Pesaran Smith(1997) FGLS SUR
EVA M, SWEEEY R 3,. ;. McDonough ; 3., 3006 ; ; F4.0 A Levin Lin(99) Im, Pesaran Shin(996) Levin Lin(99) Oh(996),Wu(996) Paell(997) Im, Pesaran Shin(996) Canzoner Cumby Diba(999) Levin Lin(99) Coe Helman(995)
Διαβάστε περισσότεραω = radians per sec, t = 3 sec
Secion. Linear and Angular Speed 7. From exercise, =. A= r A = ( 00 ) (. ) = 7,00 in 7. Since 7 is in quadran IV, he reference 7 8 7 angle is = =. In quadran IV, he cosine is posiive. Thus, 7 cos = cos
Διαβάστε περισσότεραMatrices and Determinants
Matrices and Determinants SUBJECTIVE PROBLEMS: Q 1. For what value of k do the following system of equations possess a non-trivial (i.e., not all zero) solution over the set of rationals Q? x + ky + 3z
Διαβάστε περισσότεραLecture 12 Modulation and Sampling
EE 2 spring 2-22 Handou #25 Lecure 2 Modulaion and Sampling The Fourier ransform of he produc of wo signals Modulaion of a signal wih a sinusoid Sampling wih an impulse rain The sampling heorem 2 Convoluion
Διαβάστε περισσότεραORDINAL ARITHMETIC JULIAN J. SCHLÖDER
ORDINAL ARITHMETIC JULIAN J. SCHLÖDER Abstract. We define ordinal arithmetic and show laws of Left- Monotonicity, Associativity, Distributivity, some minor related properties and the Cantor Normal Form.
Διαβάστε περισσότεραHomework 3 Solutions
Homework 3 Solutions Igor Yanovsky (Math 151A TA) Problem 1: Compute the absolute error and relative error in approximations of p by p. (Use calculator!) a) p π, p 22/7; b) p π, p 3.141. Solution: For
Διαβάστε περισσότεραHomework 8 Model Solution Section
MATH 004 Homework Solution Homework 8 Model Solution Section 14.5 14.6. 14.5. Use the Chain Rule to find dz where z cosx + 4y), x 5t 4, y 1 t. dz dx + dy y sinx + 4y)0t + 4) sinx + 4y) 1t ) 0t + 4t ) sinx
Διαβάστε περισσότεραThe Simply Typed Lambda Calculus
Type Inference Instead of writing type annotations, can we use an algorithm to infer what the type annotations should be? That depends on the type system. For simple type systems the answer is yes, and
Διαβάστε περισσότερα2. Let H 1 and H 2 be Hilbert spaces and let T : H 1 H 2 be a bounded linear operator. Prove that [T (H 1 )] = N (T ). (6p)
Uppsala Universitet Matematiska Institutionen Andreas Strömbergsson Prov i matematik Funktionalanalys Kurs: F3B, F4Sy, NVP 2005-03-08 Skrivtid: 9 14 Tillåtna hjälpmedel: Manuella skrivdon, Kreyszigs bok
Διαβάστε περισσότερα5. Choice under Uncertainty
5. Choice under Uncertainty Daisuke Oyama Microeconomics I May 23, 2018 Formulations von Neumann-Morgenstern (1944/1947) X: Set of prizes Π: Set of probability distributions on X : Preference relation
Διαβάστε περισσότεραElectronic Companion to Supply Chain Dynamics and Channel Efficiency in Durable Product Pricing and Distribution
i Eleconic Copanion o Supply Chain Dynaics and Channel Efficiency in Duable Poduc Picing and Disibuion Wei-yu Kevin Chiang College of Business Ciy Univesiy of Hong Kong wchiang@ciyueduh I Poof of Poposiion
Διαβάστε περισσότεραSolution Series 9. i=1 x i and i=1 x i.
Lecturer: Prof. Dr. Mete SONER Coordinator: Yilin WANG Solution Series 9 Q1. Let α, β >, the p.d.f. of a beta distribution with parameters α and β is { Γ(α+β) Γ(α)Γ(β) f(x α, β) xα 1 (1 x) β 1 for < x
Διαβάστε περισσότεραOverview. Transition Semantics. Configurations and the transition relation. Executions and computation
Overview Transition Semantics Configurations and the transition relation Executions and computation Inference rules for small-step structural operational semantics for the simple imperative language Transition
Διαβάστε περισσότεραAPPENDIX A DERIVATION OF JOINT FAILURE DENSITIES
APPENDIX A DERIVAION OF JOIN FAILRE DENSIIES I his Appedi we prese he derivaio o he eample ailre models as show i Chaper 3. Assme ha he ime ad se o ailre are relaed by he cio g ad he sochasic are o his
Διαβάστε περισσότεραRisk! " #$%&'() *!'+,'''## -. / # $
Risk! " #$%&'(!'+,'''## -. / 0! " # $ +/ #%&''&(+(( &'',$ #-&''&$ #(./0&'',$( ( (! #( &''/$ #$ 3 #4&'',$ #- &'',$ #5&''6(&''&7&'',$ / ( /8 9 :&' " 4; < # $ 3 " ( #$ = = #$ #$ ( 3 - > # $ 3 = = " 3 3, 6?3
Διαβάστε περισσότεραEcon 2110: Fall 2008 Suggested Solutions to Problem Set 8 questions or comments to Dan Fetter 1
Eon : Fall 8 Suggested Solutions to Problem Set 8 Email questions or omments to Dan Fetter Problem. Let X be a salar with density f(x, θ) (θx + θ) [ x ] with θ. (a) Find the most powerful level α test
Διαβάστε περισσότεραPartial Differential Equations in Biology The boundary element method. March 26, 2013
The boundary element method March 26, 203 Introduction and notation The problem: u = f in D R d u = ϕ in Γ D u n = g on Γ N, where D = Γ D Γ N, Γ D Γ N = (possibly, Γ D = [Neumann problem] or Γ N = [Dirichlet
Διαβάστε περισσότεραApproximation of distance between locations on earth given by latitude and longitude
Approximation of distance between locations on earth given by latitude and longitude Jan Behrens 2012-12-31 In this paper we shall provide a method to approximate distances between two points on earth
Διαβάστε περισσότεραHomomorphism in Intuitionistic Fuzzy Automata
International Journal of Fuzzy Mathematics Systems. ISSN 2248-9940 Volume 3, Number 1 (2013), pp. 39-45 Research India Publications http://www.ripublication.com/ijfms.htm Homomorphism in Intuitionistic
Διαβάστε περισσότεραSCHOOL OF MATHEMATICAL SCIENCES G11LMA Linear Mathematics Examination Solutions
SCHOOL OF MATHEMATICAL SCIENCES GLMA Linear Mathematics 00- Examination Solutions. (a) i. ( + 5i)( i) = (6 + 5) + (5 )i = + i. Real part is, imaginary part is. (b) ii. + 5i i ( + 5i)( + i) = ( i)( + i)
Διαβάστε περισσότεραCHAPTER 25 SOLVING EQUATIONS BY ITERATIVE METHODS
CHAPTER 5 SOLVING EQUATIONS BY ITERATIVE METHODS EXERCISE 104 Page 8 1. Find the positive root of the equation x + 3x 5 = 0, correct to 3 significant figures, using the method of bisection. Let f(x) =
Διαβάστε περισσότεραMultiple positive periodic solutions of nonlinear functional differential system with feedback control
J. Mah. Anal. Appl. 288 (23) 819 832 www.elsevier.com/locae/jmaa Muliple posiive periodic soluions of nonlinear funcional differenial sysem wih feedback conrol Ping Liu and Yongkun Li Deparmen of Mahemaics,
Διαβάστε περισσότεραΕΛΛΗΝΙΚΗ ΔΗΜΟΚΡΑΤΙΑ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΡΗΤΗΣ. Ψηφιακή Οικονομία. Διάλεξη 7η: Consumer Behavior Mαρίνα Μπιτσάκη Τμήμα Επιστήμης Υπολογιστών
ΕΛΛΗΝΙΚΗ ΔΗΜΟΚΡΑΤΙΑ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΡΗΤΗΣ Ψηφιακή Οικονομία Διάλεξη 7η: Consumer Behavior Mαρίνα Μπιτσάκη Τμήμα Επιστήμης Υπολογιστών Τέλος Ενότητας Χρηματοδότηση Το παρόν εκπαιδευτικό υλικό έχει αναπτυχθεί
Διαβάστε περισσότεραSolutions to Exercise Sheet 5
Solutions to Eercise Sheet 5 jacques@ucsd.edu. Let X and Y be random variables with joint pdf f(, y) = 3y( + y) where and y. Determine each of the following probabilities. Solutions. a. P (X ). b. P (X
Διαβάστε περισσότεραAnalysis of optimal harvesting of a prey-predator fishery model with the limited sources of prey and presence of toxicity
ES Web of Confeences 7, 68 (8) hps://doiog/5/esconf/8768 ICEIS 8 nalsis of opimal havesing of a pe-pedao fishe model wih he limied souces of pe and pesence of oici Suimin,, Sii Khabibah, and Dia nies Munawwaoh
Διαβάστε περισσότεραInverse trigonometric functions & General Solution of Trigonometric Equations. ------------------ ----------------------------- -----------------
Inverse trigonometric functions & General Solution of Trigonometric Equations. 1. Sin ( ) = a) b) c) d) Ans b. Solution : Method 1. Ans a: 17 > 1 a) is rejected. w.k.t Sin ( sin ) = d is rejected. If sin
Διαβάστε περισσότεραModels for Probabilistic Programs with an Adversary
Models for Probabilistic Programs with an Adversary Robert Rand, Steve Zdancewic University of Pennsylvania Probabilistic Programming Semantics 2016 Interactive Proofs 2/47 Interactive Proofs 2/47 Interactive
Διαβάστε περισσότεραStrain gauge and rosettes
Strain gauge and rosettes Introduction A strain gauge is a device which is used to measure strain (deformation) on an object subjected to forces. Strain can be measured using various types of devices classified
Διαβάστε περισσότεραLecture 21: Properties and robustness of LSE
Lecture 21: Properties and robustness of LSE BLUE: Robustness of LSE against normality We now study properties of l τ β and σ 2 under assumption A2, i.e., without the normality assumption on ε. From Theorem
Διαβάστε περισσότερα6.003: Signals and Systems. Modulation
6.3: Signals and Sysems Modulaion December 6, 2 Subjec Evaluaions Your feedback is imporan o us! Please give feedback o he saff and fuure 6.3 sudens: hp://web.mi.edu/subjecevaluaion Evaluaions are open
Διαβάστε περισσότερα9.1 Introduction 9.2 Lags in the Error Term: Autocorrelation 9.3 Estimating an AR(1) Error Model 9.4 Testing for Autocorrelation 9.
9.1 Inroducion 9.2 Lags in he Error Term: Auocorrelaion 9.3 Esimaing an AR(1) Error Model 9.4 Tesing for Auocorrelaion 9.5 An Inroducion o Forecasing: Auoregressive Models 9.6 Finie Disribued Lags 9.7
Διαβάστε περισσότεραA Note on Intuitionistic Fuzzy. Equivalence Relation
International Mathematical Forum, 5, 2010, no. 67, 3301-3307 A Note on Intuitionistic Fuzzy Equivalence Relation D. K. Basnet Dept. of Mathematics, Assam University Silchar-788011, Assam, India dkbasnet@rediffmail.com
Διαβάστε περισσότεραRiemann Hypothesis: a GGC representation
Riemann Hypohesis: a GGC represenaion Nicholas G. Polson Universiy of Chicago Augus 8, 8 Absrac A GGC Generalized Gamma Convoluion represenaion for Riemann s reciprocal ξ-funcion is consruced. This provides
Διαβάστε περισσότερα3.4 SUM AND DIFFERENCE FORMULAS. NOTE: cos(α+β) cos α + cos β cos(α-β) cos α -cos β
3.4 SUM AND DIFFERENCE FORMULAS Page Theorem cos(αβ cos α cos β -sin α cos(α-β cos α cos β sin α NOTE: cos(αβ cos α cos β cos(α-β cos α -cos β Proof of cos(α-β cos α cos β sin α Let s use a unit circle
Διαβάστε περισσότεραA note on deriving the New Keynesian Phillips Curve under positive steady state inflation
A noe on deriving he New Keynesian Phillips Curve under posiive seady sae inflaion Hashma Khan Carleon Univerisiy Barbara Rudolf Swiss Naional Bank Firs version: February 2005 This version: July 2005 Absrac
Διαβάστε περισσότεραReservoir modeling. Reservoir modelling Linear reservoirs. The linear reservoir, no input. Starting up reservoir modeling
Reservoir modeling Reservoir modelling Linear reservoirs Paul Torfs Basic equaion for one reservoir:) change in sorage = sum of inflows minus ouflows = Q in,n Q ou,n n n jus an ordinary differenial equaion
Διαβάστε περισσότεραSOME PROPERTIES OF FUZZY REAL NUMBERS
Sahand Communications in Mathematical Analysis (SCMA) Vol. 3 No. 1 (2016), 21-27 http://scma.maragheh.ac.ir SOME PROPERTIES OF FUZZY REAL NUMBERS BAYAZ DARABY 1 AND JAVAD JAFARI 2 Abstract. In the mathematical
Διαβάστε περισσότεραLecture 13 - Root Space Decomposition II
Lecture 13 - Root Space Decomposition II October 18, 2012 1 Review First let us recall the situation. Let g be a simple algebra, with maximal toral subalgebra h (which we are calling a CSA, or Cartan Subalgebra).
Διαβάστε περισσότεραWTO. ( Kanamori and Zhao,2006 ;,2006), ,,2005, , , 1114 % 1116 % 1119 %,
: 3 :,, (VAR),,, : 997, 200, WTO,, 2005 7 2, 2,, ( Kanamori and Zhao,2006 ;,2006),,, 2005 7 2,,,,, :,,2005, 2007 265,200 0,,,2005 2006 2007, 4 % 6 % 9 %,,,,,,,, 3,, :00836, zhaozhijun @yahoo. com ;,, :25000,
Διαβάστε περισσότεραExistence of travelling wave solutions in delayed reaction diffusion systems with applications to diffusion competition systems
INSTITUTE OF PHYSICS PUBLISHING Nonlineariy 9 (2006) 253 273 NONLINEARITY doi:0.088/095-775/9/6/003 Exisence of ravelling wave soluions in delayed reacion diffusion sysems wih applicaions o diffusion compeiion
Διαβάστε περισσότερα= {{D α, D α }, D α }. = [D α, 4iσ µ α α D α µ ] = 4iσ µ α α [Dα, D α ] µ.
PHY 396 T: SUSY Solutions for problem set #1. Problem 2(a): First of all, [D α, D 2 D α D α ] = {D α, D α }D α D α {D α, D α } = {D α, D α }D α + D α {D α, D α } (S.1) = {{D α, D α }, D α }. Second, {D
Διαβάστε περισσότεραΧρονοσειρές Μάθημα 3
Χρονοσειρές Μάθημα 3 Ασυσχέτιστες (λευκός θόρυβος) και ανεξάρτητες (iid) παρατηρήσεις Chafield C., The Analysis of Time Series, An Inroducion, 6 h ediion,. 38 (Chaer 3): Some auhors refer o make he weaker
Διαβάστε περισσότεραw o = R 1 p. (1) R = p =. = 1
Πανεπιστήµιο Κρήτης - Τµήµα Επιστήµης Υπολογιστών ΗΥ-570: Στατιστική Επεξεργασία Σήµατος 205 ιδάσκων : Α. Μουχτάρης Τριτη Σειρά Ασκήσεων Λύσεις Ασκηση 3. 5.2 (a) From the Wiener-Hopf equation we have:
Διαβάστε περισσότεραMATH423 String Theory Solutions 4. = 0 τ = f(s). (1) dτ ds = dxµ dτ f (s) (2) dτ 2 [f (s)] 2 + dxµ. dτ f (s) (3)
1. MATH43 String Theory Solutions 4 x = 0 τ = fs). 1) = = f s) ) x = x [f s)] + f s) 3) equation of motion is x = 0 if an only if f s) = 0 i.e. fs) = As + B with A, B constants. i.e. allowe reparametrisations
Διαβάστε περισσότεραAnti-aliasing Prefilter (6B) Young Won Lim 6/8/12
ni-aliasing Prefiler (6B) Copyrigh (c) Young W. Lim. Permission is graned o copy, disribue and/or modify his documen under he erms of he GNU Free Documenaion License, Version. or any laer version published
Διαβάστε περισσότερα2. THEORY OF EQUATIONS. PREVIOUS EAMCET Bits.
EAMCET-. THEORY OF EQUATIONS PREVIOUS EAMCET Bits. Each of the roots of the equation x 6x + 6x 5= are increased by k so that the new transformed equation does not contain term. Then k =... - 4. - Sol.
Διαβάστε περισσότεραΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 19/5/2007
Οδηγίες: Να απαντηθούν όλες οι ερωτήσεις. Αν κάπου κάνετε κάποιες υποθέσεις να αναφερθούν στη σχετική ερώτηση. Όλα τα αρχεία που αναφέρονται στα προβλήματα βρίσκονται στον ίδιο φάκελο με το εκτελέσιμο
Διαβάστε περισσότεραJesse Maassen and Mark Lundstrom Purdue University November 25, 2013
Notes on Average Scattering imes and Hall Factors Jesse Maassen and Mar Lundstrom Purdue University November 5, 13 I. Introduction 1 II. Solution of the BE 1 III. Exercises: Woring out average scattering
Διαβάστε περισσότεραA Two-Sided Laplace Inversion Algorithm with Computable Error Bounds and Its Applications in Financial Engineering
Electronic Companion A Two-Sie Laplace Inversion Algorithm with Computable Error Bouns an Its Applications in Financial Engineering Ning Cai, S. G. Kou, Zongjian Liu HKUST an Columbia University Appenix
Διαβάστε περισσότεραCRASH COURSE IN PRECALCULUS
CRASH COURSE IN PRECALCULUS Shiah-Sen Wang The graphs are prepared by Chien-Lun Lai Based on : Precalculus: Mathematics for Calculus by J. Stuwart, L. Redin & S. Watson, 6th edition, 01, Brooks/Cole Chapter
Διαβάστε περισσότεραis the home less foreign interest rate differential (expressed as it
The model is solved algebraically, excep for a cubic roo which is solved numerically The mehod of soluion is undeermined coefficiens The noaion in his noe corresponds o he noaion in he program The model
Διαβάστε περισσότεραCHAPTER 101 FOURIER SERIES FOR PERIODIC FUNCTIONS OF PERIOD
CHAPTER FOURIER SERIES FOR PERIODIC FUNCTIONS OF PERIOD EXERCISE 36 Page 66. Determine the Fourier series for the periodic function: f(x), when x +, when x which is periodic outside this rge of period.
Διαβάστε περισσότερα