Synchronization of Innovation Cycles
|
|
- Christal Mosley
- 5 years ago
- Views:
Transcription
1 Kimiori Masuyama, Syhroizaio of Iovaio Cyles Syhroizaio of Iovaio Cyles By Kimiori Masuyama, Norhweser Uiversiy, USA Based o wo proes wih Irya Sushko, Isiue of Mahemais, Naioal Aademy of Siee of Ukraie Laura Gardii, Uiversiy of Urbio, Ialy NYU Applied Theory Semiar November 6, 05 Page of 35
2 Kimiori Masuyama, Syhroizaio of Iovaio Cyles Iroduio Page of 35
3 Kimiori Masuyama, Syhroizaio of Iovaio Cyles May models of oliear dyamis geeraig edogeous fluuaios (i iovaio, bu hey are all (effeively oe-oury, oe-seor models Need for muli-seor exesios (wih edogeous fluuaios i eah seor To evaluae he aggregae effes, we eed o kow how fluuaios a differe seors affe eah oher. How do seors o-move? Are hey syhroized o amplify fluuaios? Or asyhroized o moderae? No previous work o hese issues, eiher heoreially or empirially. We eed a oepual framework o guide our heoreial ad empirial researh. Need for muli-oury exesios (wih edogeous fluuaios i eah oury Theoreial Moivaio: Mos maroeoomiss sudy he effes of globalizaio i a model where produiviy movemes are drive by some exogeous proesses. Bu, globalizaio a hage Produiviy growh rae, as already show by edogeous growh models. Syhroiiy of produiviy fluuaios, i a model of edogeous yles Empirial Moivaio: More bilaeral rade leads o more syhroized busiess yles amog developed ouries, bu o bewee developed & developig ouries. Hard o explai his rade-omoveme puzzle i models wih exogeous shoks Easier o explai i models wih edogeous soures of fluuaios Page 3 of 35
4 Kimiori Masuyama, Syhroizaio of Iovaio Cyles Our buildig blok: Deekere-Judd (99 oe-seor, losed eoomy model of edogeous iovaio fluuaios, haraerized by a skew-e map Mahemaially, our exesios geerae oupled skew-e maps. Coepually, his is a sudy of weakly oupled osillaors. Syhroizaio of Weakly Coupled Osillaors Naural Siee: A Maor Topi. Thousads of examples: Jus o ame a few, Chrisiaa Huyges pedulum loks The Moo s roaio ad revoluio Lodo Milleium Bridge Also, searh videos Syhroizaio of Meroomes o Youube! Bu, we ao use exisig models i he aural siee. They simply apped a addiioal erm ha apures syhroizig fores, muliplied by a ouplig parameer, ad sudy he effes of hagig a ouplig parameer. Wihou miro foudaios, o sruural ierpreaio a be give o he ouplig parameer. sube o he Luas riique. I geeral equilibrium, suh ouplig would hage iovaio ieives. Page 4 of 35
5 Kimiori Masuyama, Syhroizaio of Iovaio Cyles The Buildig Blok: Deekere-Judd (99 Page 5 of 35
6 Kimiori Masuyama, Syhroizaio of Iovaio Cyles Judd (985; Dyami Dixi-Sigliz moopolisi ompeiive model; Iovaors pay fixed os o irodue a ew (horizoally differeiaed variey Judd (985; Se.; They ear he moopoly profi forever. Covergig o seady sae Mai Quesio: Wha if iovaors have moopoly oly for a limied ime? o Eah variey sold iiially a moopoly prie; laer a ompeiive prie o Impa of a iovaio, iiially mued, reah is full poeial wih a delay o Pas iovaio disourages iovaors more ha oemporaeous iovaio o Temporal luserig of iovaio, leadig o aggregae fluuaios Judd (985; Se.3; Coiuous ime ad moopoly lasig for 0 < T < o Delayed differeial equaio (wih a ifiie dimesioal sae spae o For T > T > 0, he eoomy aleraes bewee he phases of aive iovaio ad of o iovaio alog ay equilibrium pah for almos all iiial odiios. Judd (985; Se.4; also Deekere & Judd (99; DJ for shor o Disree ime ad oe period moopoly for aalyial raabiliy o D sae spae (he measure of ompeiive varieies iheried from pas iovaio deermies how sauraed he marke is o Uique equilibrium pah geeraed by D PWL oiverible (i.e., skew-e map. o Whe he uique seady sae is usable, fluuaios for almos all iiial odiios, overgig eiher o a -yle or o a haoi araor Page 6 of 35
7 Kimiori Masuyama, Syhroizaio of Iovaio Cyles Page 7 of 35 Revisiig Deekere-Judd (99 Time: 0,,,... Fial (Cosumpio Good Seor: assembles differeiaed ipus a la Dixi-Sigliz ( d x X Y ( Demad for Differeiaed Ipus: P v p X v x ( (, where d p P ( Se of Differeiaed Ipus: a hage due o Iovaio ad Obsolesee. m ; Se of all differeiaed ipus available i : Se of ompeiively supplied ipus iheried i period. m : Se of ew ipus irodued ad sold exlusively by heir iovaors for oe period.
8 Kimiori Masuyama, Syhroizaio of Iovaio Cyles Differeiaed Ipus Priig: uis of labor (he umeraire for produig oe ui of eah variey: p p p p ( ; x ( v x for m m m ( ; x ( v x for / x p ; x ; m m m θ (, e x p x p p m Aggregae Oupu ad Prie: Le m N ( N be he measure of / / m m / Y N x N x x m P N p N p m / M, ( M, where m M m N N. Oe ompeiive variey has he same effe wih > moopolisi varieies. is ireasig i σ, bu varies lile for a wide rage of σ e =.788 Page 8 of 35
9 Kimiori Masuyama, Syhroizaio of Iovaio Cyles Iroduio of New Varieies: Iovaio os per variey, f m x f 0 m m m m p x ; N 0 f ; x M N Complemeary Slakess: Eiher e profi or iovaio has o be zero i equilibrium Resoure Cosrai: Fixed oal labor supply, L, m m m m m L N ( x N ( x f N ( p x N ( p x L M max, N. f x M Obsolesee of Old Varieies: δ (0,, he Survival Rae m N N M ( N N L max f ( N, N Aleraively, labor supply may grow a a osa faor, G /. Page 9 of 35
10 Kimiori Masuyama, Syhroizaio of Iovaio Cyles Le (f N L : (Normalized measure of ompeiive varieies per labor supply Skew-Te Map f ( f f L H ( ( ( if if f L ( ( ( 45º (0,, Survival rae of eah variey due o obsolesee (or exogeous labor supply growh (, e, ireasig i σ (EoS Marke share of a ompeiive variey relaive o a moopolisi variey > 0: he delayed impa of iovaios * O Aive Iovaio f H No Iovaio ( Page 0 of 35
11 Kimiori Masuyama, Syhroizaio of Iovaio Cyles A Uique Araor: Sable seady sae for Sable -yle for Robus haoi araor wih m iervals (m = 0,, for Effes of a higher δ Page of 35
12 Kimiori Masuyama, Syhroizaio of Iovaio Cyles I he (σ, δ-plae Edogeous fluuaios wih a higher σ (more subsiuable; sroger ieive o avoid ompeiio a higher δ (more pas iovaio survives o rowd ou urre iovaio. We fous o he sable -yle ase,. Page of 35
13 Kimiori Masuyama, Syhroizaio of Iovaio Cyles A Two-Seor Model of Edogeous Iovaio Cyles Based o our Ierdepede Iovaio Cyles Page 3 of 35
14 Kimiori Masuyama, Syhroizaio of Iovaio Cyles Two-Seor Exesio: o Eah seor produes a Dixi-Sigliz omposie, as i Deekere-Judd o CES over he wo omposies wih ε (EoS aross seors < σ (EoS wihi eah seor Resuls D sae spae (he measures of ompeiive goods i he wo seors deermie he urre sae of he eoomy Uique equilibrium pah geeraed by D-PWS, oiverible map Dyamis i he wo seors are deoupled for Cobb-Douglas (ε =. Wheher dyamis may overge o eiher syhroized or asyhroized -yles depeds o how you draw he iiial odiio As ε goes up from oe, fluuaios beome syhroized o Basi of araio for syhroized -yles expads ad overs he sae spae. o Basi of araio for asyhroized -yles shriks & disappears This ours before ε reahes σ. As ε goes dow from oe, fluuaios beome asyhroized o Basi of araio for syhroized -yles shriks o Basi of araio for asyhroized -yles expads Thus, perhaps surprisigly ad ouer-iuiively, ε > syhroizaio & amplifiaio ε < asyhroizaio & moderaio Page 4 of 35
15 Kimiori Masuyama, Syhroizaio of Iovaio Cyles -Dim Dyamial Sysem; F( / ( / ( R wih, for D for D g( ( for g( ( for, LL R, HH / R g( i D HL D LH, R / ; g(, R g( ; / where m g( m is defied by i ( m ( m ( m i wih (,. Page 5 of 35
16 Kimiori Masuyama, Syhroizaio of Iovaio Cyles Idepede (Deoupled Skew Te Maps: Cobb-Douglas Case ( If, 0 ad g ( /. m i D sysem osiss of wo idepede D skew-e maps: D LH Iovaio Aive i D HH No Iovaio max{/, } (. / * D LL D HL * / Uique S.S.: / ( Iovaio Aive i Boh Iovaio Aive i A Uique Araor: O * / Sable seady sae for Sable -yle for Robus haoi araor wih m iervals (m = 0,,, for Page 6 of 35
17 Kimiori Masuyama, Syhroizaio of Iovaio Cyles Idepede Sable -Cyles: ( 0 ; ( ( Eah ompoe D-map has * / o a usable seady sae, / ( * / * / o a sable -yle, L H ( ( As a D-map, his sysem has A usable seady sae; *, *. A pair of sable -yles: * * * * o Syhroized; L, L H, H, wih Basi of Araio i Red. * * * * o Asyhroized; L, H H, L, wih Basi of Araio i Whie. A pair of saddle -yles: * * * * * * * *,. L H, &, H, L The losure of he sable ses of he wo saddles forms he boudaries of he basis of araio of he wo sable -yles. Page 7 of 35
18 Kimiori Masuyama, Syhroizaio of Iovaio Cyles Ierdepede (Coupled Skew Te Maps: ( 0 ompoes sill idepede i DLL ad DHH, whih iludes he diagoal. For ( 0: g ( is ireasig. More ompeiive goods i seor ( irease he marke size for seor (, eourage iovaio i i DLH (DHL. For ( 0 : g ( is dereasig. More ompeiive goods i seor ( dereases he marke size for seor (, disourage iovaio i i DLH (DHL. Complemes: ( 0 Subsiues: ( 0 DLH g( DHH g( / Iovaio Aive i No Iovaio g( / D LH DHH * DLL Iovaio Aive i Boh D HL Iovaio Aive i * DLL D HL g( O * / O * / Page 8 of 35
19 Ierdepede -Cyles: ( 0 Kimiori Masuyama, Syhroizaio of Iovaio Cyles, wih Eah ompoe D-map has: * * / o a usable seady sae, ( * * / * * / o a sable -yle, L L H H. ( ( As a D-map, As (or ireases, DLH & DLH shrik ad DHH expads. As (or dereases, DLH & DLH expad ad DHH shriks. * * * * Syhroized -yle, L, L H, H exiss ad sable; o affeed by (or. a a a a Symmeri Asyhroized -yle, L, H DLH H, L DHL, depeds o * * * * (or, ad o loger equal o L, H H, L. I exiss for all (or ; sable for ( ad usable for ( 0. Furhermore, oe ould see umerially, For, a higher expads he basi of araio for he syhroized -yle. Page 9 of 35
20 Kimiori Masuyama, Syhroizaio of Iovaio Cyles a a a a Symmeri Asyhroized -Cyle: L, H DLH H, L DHL a a a a a H ; ( L H H g H, where (, ad m g( mk solves ( m ( m Jaobia a his -yle: ( J, ( m a where g' ( H = ( (. Two Eigevalues: 4 Complex ougaed if ( ( 4( / ; a sable fous,as De ( J ( Real, boh posiive, less ha oe if 4( / ( ( ; a sable ode; Real, boh posiive, oe greaer ha oe if ( ( ; a usable saddle. ( ( for 0; ireasig i (0, wih ( (0 0 ad ( (. Hee, (0,, s.. his -yle is sable for ad usable for. k. Page 0 of 35
21 Kimiori Masuyama, Syhroizaio of Iovaio Cyles Basis of -yles: Syhrozied (Red vs. Asyhroized (Whie The basi of he syhroized -yle expads as ad shriks as 0. Page of 35
22 Kimiori Masuyama, Syhroizaio of Iovaio Cyles A Two-Coury Model of Edogeous Iovaio Cyles Based o our Globalizaio ad Syhroizaio of Iovaio Cyles Page of 35
23 Kimiori Masuyama, Syhroizaio of Iovaio Cyles Helpma & Krugma (985; Ch.0: Trade i horizoally differeiaed (Dixi-Sigliz goods wih ieberg rade oss bewee wo sruurally ideial ouries; oly heir sizes may be differe. I auarky, he umber of firms based i eah oury is proporioal o is size. As rade oss fall, o Horizoally differeiaed goods produed i he wo ouries muually peerae eah oher s home markes (Two-way flows of goods. o Firm disribuio beomes ireasigly skewed oward he larger oury (Home Marke Effe ad is Magifiaio Two Parameers: s & s s [/, : Bigger oury s share i marke size s s [0, : Degree of Globalizaio: iversely relaed o he ieberg os, / s : Bigger oury s share i firm disribuio O s/s ρ Page 3 of 35
24 Kimiori Masuyama, Syhroizaio of Iovaio Cyles Our Mai Resuls: By ombiig DJ (99 ad HK (985: D sae spae: (Measures of ompeiive varieies i he wo ouries Uique equilibrium pah obaied by ieraig a D-PWS, oiverible map wih four parameers: θ & δ & s & Oe ui of ompeiive varieies = θ (> uis of moopolisi varieies Oe ui of foreig varieies = ρ (< ui of domesi varieies I auarky (ρ = 0, he dyamis of he wo are deoupled. Wheher hey may overge o eiher syhroized or asyhroized -yles depeds o how you draw he iiial odiio. As rade oss fall (a higher ρ, hey beome more syhroized: o Basi of araio for asyhroized -yles shriks ad disappears o Basi of araio for syhroized -yles expads Full syhroizaio is reahed wih parial rade iegraio (ρ < or τ > 0 o Fully syhroized a a larger rade os if oury sizes are more uequal o Eve a small size differee speds up syhroizaio sigifialy o The larger oury ses he empo of global iovaio yles, wih he smaller oury adusig is rhyhm. Page 4 of 35
25 Kimiori Masuyama, Syhroizaio of Iovaio Cyles D Dyamial Sysem; F( (0 < δ < ; < θ < e; 0 ρ < ; / s < R wih, s ( ( s ( ( if D if D h ( ( if h ( ( if ;, LL, HH R s ( R h ( k D HL, R s( ; h ( D LH s s where s ( s( mi,, 0.5 s s ; s sk h ( k 0 defied impliily by. h ( h ( / k k k, R h ( ; s ( k Page 5 of 35
26 Kimiori Masuyama, Syhroizaio of Iovaio Cyles Sae Spae & Four Domais for he Symmeri Case: s / s 0 h ( (ρ = 0 (ρ = Iovaio Aive i 0.5 * Iovaio Aive i Boh D LH D LL * O 5 DHL DHH 0. Iovaio Aive i No Iovaio (ρ = 0 h ( (ρ = Page 6 of 35
27 Kimiori Masuyama, Syhroizaio of Iovaio Cyles Sae Spae & Four Domais for he Asymmeri Case: s / s 0 s s s s ( ( Iovaio Aive i h DLH ( DHH No Iovaio s ( * Iovaio Aive i Boh DLL D HL h ( O s ( * Iovaio Aive i s s Page 7 of 35
28 Syhroized vs. Asyhroized -Cyles i Auarky: 0 As a D-map, his sysem has * A usable seady sae;, A pair of sable -yles * * * * o Syhroized; L, L H, H, Basi of Araio i red. * * * * o Asyhroized; L, H H, L, Basi of Araio i whie A pair of saddle -yles: * * * * * *, * * L H, ;, H, L * Kimiori Masuyama, Syhroizaio of Iovaio Cyles ;, Page 8 of 35
29 Symmeri Ierdepede -Cyles, s 0. 5, (0, Kimiori Masuyama, Syhroizaio of Iovaio Cyles, : Eah ompoe D-map has: * * / o a usable seady sae, & ( * * / * * / o a sable -yle, L L H. H ( ( As a D-map, * * * * Syhroized -yle, L, L DLL H, H DHH, is uaffeed by (0,. a a a a Symmeri Asyhroized -yle, L, H DLH H, L DHL, depeds o * * * * (0,, o loger equal o L, H H, L. I exiss for all (0, ; sable for 0, ad usable for,. ( ( Furhermore, oe ould see umerially, For, ( 0,, a higher expads he basi of araio for he syhroized - yle, ad redues ha for he asyhroized -yle. Page 9 of 35
30 Kimiori Masuyama, Syhroizaio of Iovaio Cyles Symmeri Syhroized & Asyhroized -Cyles: s 0. 5;. 5; Red (Sy. -yle beomes domia. Sym. Asy. -yle beomes a ode a ρ =.87867, a saddle a ρ = Page 30 of 35
31 Kimiori Masuyama, Syhroizaio of Iovaio Cyles Asymmeri Syhroized & Asyhroized -Cyles s 0. 7,. 5; By ρ =.65, ifiiely may Red islads appear iside Whie. By ρ =.9, he sable asyhroized -yle ollides wih is basi boudary ad disappears, leavig he Syhroized -yle as he uique araor. Page 3 of 35
32 Kimiori Masuyama, Syhroizaio of Iovaio Cyles A Smaller Reduio i τ Syhroizes Iovaio Cyles wih Coury Size Asymmeries Criial Value of ρ a whih he Sable Asyhroized -yle disappears (as a fuio of s I delies very rapidly as s ireases from 0.5. I hardly hages wih δ. Page 3 of 35
33 Four Basis of Araio ( s 0. 7,. 5, Kimiori Masuyama, Syhroizaio of Iovaio Cyles As ρ rises, Red ivades Whie, ad Azure ivades Gray, ad verial slips of Red ad Azure emerge. Page 33 of 35
34 Kimiori Masuyama, Syhroizaio of Iovaio Cyles Three Effes of Globalizaio: Home Marke Effe Produiviy Gais Syhroizaio Page 34 of 35
35 Kimiori Masuyama, Syhroizaio of Iovaio Cyles Summary: A -seor exesio wih CES preferees over he wo seors o For Cobb-Douglas (ε =, iovaio dyamis of he wo seors are deoupled. o For ε >, syhroized o amplify fluuaios; for ε <, asyhroized o moderae A -oury exesio wih rade bewee sruurally ideial ouries, where he degree of rade globalizaio ρ as as a ouplig parameer o I auarky (ρ = 0, iovaio dyamis of he wo ouries are deoupled. o As rade os falls, hey beome more syhroized o Full syhroizaio ours a a srily posiive rade os (ad a a larger rade os wih more uequal oury sizes o The smaller oury aduss is rhyhm o he rhyhm of he bigger oury. More o Come: Syhroizaio of haoi fluuaios More seors or more ouries A -seor & -oury exesio o sudy he effes of globalizaio bewee wo sruurally dissimilar ouries o Two Idusries: Upsream & Dowsream, eah produes DS omposie as i DJ. o Oe oury has omparaive advaage i U; he oher i D o My oeure: Globalizaio leads o a asyhroizaio Cosise wih he empirial evidee (Trade auses syhroizaio amog developed ouries, bu o bewee developed ad developig ouries Page 35 of 35
Globalization and Synchronization of Innovation Cycles*
Kimiori Masuyama, Globalizaio ad Syhroizaio of Iovaio Globalizaio ad Syhroizaio of Iovaio Cyles By Kimiori Masuyama, Norhweser Uiversiy, USA Irya Sushko, Isiue of Mahemais, Naioal Aademy of Siee, Ukraie
More informationGlobalization and Synchronization of Innovation Cycles. February 2015
Globalizaio ad Sychroizaio of Iovaio Cycles By Kimiori Masuyama, Norhweser Uiversiy, USA Irya Sushko, Isiue of Mahemaics, Naioal Academy of Sciece of Ukraie Laura Gardii, Uiversiy of Urbio, Ialy February
More informationGlobalization and Synchronization of Innovation Cycles
Globalizaion and Synchronizaion of Innovaion Cycles Kiminori Masuyama, Norhwesern Universiy, USA Iryna Sushko, Insiue of Mahemaics, Naional Academy of Science of Ukraine Laura Gardini, Universiy of Urbino,
More informationChapter 10. Laser Oscillation : Gain and Threshold
Chaper 0. aser Osillaio : Gai ad hreshold Deailed desripio of laser osillaio 0. Gai Cosider a quasi-moohromai plae wave of frequey propaai i he + direio ; u A he rae a whih
More informationGlobalization and Synchronization of Innovation Cycles
Globalizaion and Synchronizaion of Innovaion Cycles By Kiminori Masuyama, Norhwesern Universiy, USA Iryna Sushko, Insiue of Mahemaics, Naional Academy of Science of Ukraine Laura Gardini, Universiy of
More informationMAHALAKSHMI ENGINEERING COLLEGE TIRUCHIRAPALLI
MAHALAKSHMI EGIEERIG COLLEGE TIRUCHIRAALLI 6 QUESTIO BAK - ASWERS -SEMESTER: V MA 6 - ROBABILITY AD QUEUEIG THEORY UIT IV:QUEUEIG THEORY ART-A Quesio : AUC M / J Wha are he haraerisis of a queueig heory?
More informationC(p, ) 13 N. Nuclear reactions generate energy create new isotopes and elements. Notation for stellar rates: p 12
Iroducio o sellar reacio raes Nuclear reacios geerae eergy creae ew isoopes ad elemes Noaio for sellar raes: p C 3 N C(p,) 3 N The heavier arge ucleus (Lab: arge) he ligher icomig projecile (Lab: beam)
More informationElectrical Engineering Department Network Lab.
Par:- Elecrical Egieerig Deparme Nework Lab. Deermiaio of differe parameers of -por eworks ad verificaio of heir ierrelaio ships. Objecive: - To deermie Y, ad ABD parameers of sigle ad cascaded wo Por
More informationHONG KONG INSTITUTE FOR MONETARY RESEARCH
HONG KONG INSTITUTE FOR MONETARY RESEARCH THE GREAT RECESSION: A SELF-FULFILLING GLOBAL ANIC hilippe Bahea ad Eri va Wioop HKIMR Workig aper No.09/03 Jue 03 Hog Kog Isiue for Moeary Researh (a ompay iorporaed
More informationEconomics 8723 Macroeconomic Theory Problem Set 2 Professor Sanjay Chugh Spring 2017
Deparme of Ecoomics The Ohio Sae Uiversiy Ecoomics 8723 Macroecoomic Theory Problem Se 2 Professor Sajay Chugh Sprig 207 Labor Icome Taxes, Nash-Bargaied Wages, ad Proporioally-Bargaied Wages. I a ecoomy
More information14.02 Principles of Macroeconomics Fall 2005
14.02 Priciples of Macroecoomics Fall 2005 Quiz 2 Tuesday, November 8, 2005 7:30 PM 9 PM Please, aswer he followig quesios. Wrie your aswers direcly o he quiz. You ca achieve a oal of 100 pois. There are
More informationIdeal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory
Liear Time-Ivaria Sysems (LTI Sysems) Oulie Basic Sysem Properies Memoryless ad sysems wih memory (saic or dyamic) Causal ad o-causal sysems (Causaliy) Liear ad o-liear sysems (Lieariy) Sable ad o-sable
More informationN! AND THE GAMMA FUNCTION
N! AND THE GAMMA FUNCTION Cosider he produc of he firs posiive iegers- 3 4 5 6 (-) =! Oe calls his produc he facorial ad has ha produc of he firs five iegers equals 5!=0. Direcly relaed o he discree! fucio
More information1 Notes on Little s Law (l = λw)
Copyrigh c 26 by Karl Sigma Noes o Lile s Law (l λw) We cosider here a famous ad very useful law i queueig heory called Lile s Law, also kow as l λw, which assers ha he ime average umber of cusomers i
More informationReview for the Midterm Exam.
Review for he iderm Exm Rememer! Gross re e re Vriles suh s,, /, p / p, r, d R re gross res 2 You should kow he disiio ewee he fesile se d he udge se, d kow how o derive hem The Fesile Se Wihou goverme
More informationODEs II, Supplement to Lectures 6 & 7: The Jordan Normal Form: Solving Autonomous, Homogeneous Linear Systems. April 2, 2003
ODEs II, Suppleme o Lecures 6 & 7: The Jorda Normal Form: Solvig Auoomous, Homogeeous Liear Sysems April 2, 23 I his oe, we describe he Jorda ormal form of a marix ad use i o solve a geeral homogeeous
More informationSTK4080/9080 Survival and event history analysis
STK48/98 Survival ad eve hisory aalysis Marigales i discree ime Cosider a sochasic process The process M is a marigale if Lecure 3: Marigales ad oher sochasic processes i discree ime (recap) where (formally
More informationSection 8 Convolution and Deconvolution
APPLICATIONS IN SIGNAL PROCESSING Secio 8 Covoluio ad Decovoluio This docume illusraes several echiques for carryig ou covoluio ad decovoluio i Mahcad. There are several operaors available for hese fucios:
More informationλiv Av = 0 or ( λi Av ) = 0. In order for a vector v to be an eigenvector, it must be in the kernel of λi
Liear lgebra Lecure #9 Noes This week s lecure focuses o wha migh be called he srucural aalysis of liear rasformaios Wha are he irisic properies of a liear rasformaio? re here ay fixed direcios? The discussio
More informationECE-314 Fall 2012 Review Questions
ECE-34 Fall 0 Review Quesios. A liear ime-ivaria sysem has he ipu-oupu characerisics show i he firs row of he diagram below. Deermie he oupu for he ipu show o he secod row of he diagram. Jusify your aswer.
More informationBEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS
BEST LINEAR FORECASTS VS. BEST POSSIBLE FORECASTS Opimal ear Forecasig Alhough we have o meioed hem explicily so far i he course, here are geeral saisical priciples for derivig he bes liear forecas, ad
More informationWhat is a Communications System?
Wha is a ommuiaios Sysem? Aual Real Life Messae Real Life Messae Replia Ipu Sial Oupu Sial Ipu rasduer Oupu rasduer Eleroi Sial rasmier rasmied Sial hael Reeived Sial Reeiver Eleroi Sial Noise ad Disorio
More informationFour equations describe the dynamic solution to RBC model. Consumption-leisure efficiency condition. Consumption-investment efficiency condition
LINEARIZING AND APPROXIMATING THE RBC MODEL SEPTEMBER 7, 200 For f( x, y, z ), mulivariable Taylor liear expasio aroud ( x, yz, ) f ( x, y, z) f( x, y, z) + f ( x, y, z)( x x) + f ( x, y, z)( y y) + f
More informationME 501A Seminar in Engineering Analysis Page 1
Seod ad igher Order Liear Differeial Equaios Oober 9, 7 Seod ad igher Order Liear Differeial Equaios Larr areo Mehaial Egieerig 5 Seiar i Egieerig alsis Oober 9, 7 Oulie Reiew las lass ad hoewor ppl aerial
More informationMath 6710, Fall 2016 Final Exam Solutions
Mah 67, Fall 6 Fial Exam Soluios. Firs, a sude poied ou a suble hig: if P (X i p >, he X + + X (X + + X / ( evaluaes o / wih probabiliy p >. This is roublesome because a radom variable is supposed o be
More informationLecture contents Macroscopic Electrodynamics Propagation of EM Waves in dielectrics and metals
Leure oes Marosopi lerodyamis Propagaio of M Waves i dieleris ad meals NNS 58 M Leure #4 Maxwell quaios Maxwell equaios desribig he ouplig of eleri ad magei fields D q ev B D J [SI] [CGS] D 4 B D 4 J B
More informationKey Questions. ECE 340 Lecture 16 and 17: Diffusion of Carriers 2/28/14
/8/4 C 340 eure 6 ad 7: iffusio of Carriers Class Oulie: iffusio roesses iffusio ad rif of Carriers Thigs you should kow whe you leave Key Quesios Why do arriers use? Wha haes whe we add a eleri field
More informationB. Maddah INDE 504 Simulation 09/02/17
B. Maddah INDE 54 Simulaio 9/2/7 Queueig Primer Wha is a queueig sysem? A queueig sysem cosiss of servers (resources) ha provide service o cusomers (eiies). A Cusomer requesig service will sar service
More informationK3 p K2 p Kp 0 p 2 p 3 p
Mah 80-00 Mo Ar 0 Chaer 9 Fourier Series ad alicaios o differeial equaios (ad arial differeial equaios) 9.-9. Fourier series defiiio ad covergece. The idea of Fourier series is relaed o he liear algebra
More informationSolutions Problem Set 3 Macro II (14.452)
Soluions Problem Se 3 Macro II (14.452) Francisco A. Gallego 04/27/2005 1 Q heory of invesmen in coninuous ime and no uncerainy Consider he in nie horizon model of a rm facing adjusmen coss o invesmen.
More informationLINEAR APPROXIMATION OF THE BASELINE RBC MODEL SEPTEMBER 17, 2013
LINEAR APPROXIMATION OF THE BASELINE RBC MODEL SEPTEMBER 7, 203 Iroducio LINEARIZATION OF THE RBC MODEL For f( xyz,, ) = 0, mulivariable Taylor liear expasio aroud f( xyz,, ) f( xyz,, ) + f( xyz,, )( x
More informationFresnel Dragging Explained
Fresel Draggig Explaied 07/05/008 Decla Traill Decla@espace.e.au The Fresel Draggig Coefficie required o explai he resul of he Fizeau experime ca be easily explaied by usig he priciples of Eergy Field
More informationCommunication Systems Lecture 25. Dong In Kim School of Info/Comm Engineering Sungkyunkwan University
Commuiaio Sysems Leure 5 Dog I Kim Shool o Io/Comm Egieerig Sugkyukwa Uiversiy 1 Oulie Noise i Agle Modulaio Phase deviaio Large SNR Small SNR Oupu SNR PM FM Review o Agle Modulaio Geeral orm o agle modulaed
More informationComparison between Fourier and Corrected Fourier Series Methods
Malaysia Joural of Mahemaical Scieces 7(): 73-8 (13) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Joural homepage: hp://eispem.upm.edu.my/oural Compariso bewee Fourier ad Correced Fourier Series Mehods 1
More informationMathematical Foundations -1- Choice over Time. Choice over time. A. The model 2. B. Analysis of period 1 and period 2 3
Mahemaial Foundaions -- Choie over Time Choie over ime A. The model B. Analysis of period and period 3 C. Analysis of period and period + 6 D. The wealh equaion 0 E. The soluion for large T 5 F. Fuure
More informationLINEAR APPROXIMATION OF THE BASELINE RBC MODEL JANUARY 29, 2013
LINEAR APPROXIMATION OF THE BASELINE RBC MODEL JANUARY 29, 203 Iroducio LINEARIZATION OF THE RBC MODEL For f( x, y, z ) = 0, mulivariable Taylor liear expasio aroud f( x, y, z) f( x, y, z) + f ( x, y,
More informationThe Structures of Fuzzifying Measure
Sesors & Trasduers Vol 7 Issue 5 May 04 pp 56-6 Sesors & Trasduers 04 by IFSA Publishig S L hp://wwwsesorsporalom The Sruures of Fuzzifyig Measure Shi Hua Luo Peg Che Qia Sheg Zhag Shool of Saisis Jiagxi
More informationFour equations describe the dynamic solution to RBC model. Consumption-leisure efficiency condition. Consumption-investment efficiency condition
LINEAR APPROXIMATION OF THE BASELINE RBC MODEL FEBRUARY, 202 Iroducio For f(, y, z ), mulivariable Taylor liear epasio aroud (, yz, ) f (, y, z) f(, y, z) + f (, y, z)( ) + f (, y, z)( y y) + f (, y, z)(
More informationCalculus BC 2015 Scoring Guidelines
AP Calculus BC 5 Scorig Guidelies 5 The College Board. College Board, Advaced Placeme Program, AP, AP Ceral, ad he acor logo are regisered rademarks of he College Board. AP Ceral is he official olie home
More informationExtremal graph theory II: K t and K t,t
Exremal graph heory II: K ad K, Lecure Graph Theory 06 EPFL Frak de Zeeuw I his lecure, we geeralize he wo mai heorems from he las lecure, from riagles K 3 o complee graphs K, ad from squares K, o complee
More informationA modified method for solving Delay differential equations of fractional order
IOSR Joural of Mahemais (IOSR-JM) e-issn: 78-578, p-issn: 39-765X. Volume, Issue 3 Ver. VII (May. - Ju. 6), PP 5- www.iosrjourals.org A modified mehod for solvig Delay differeial equaios of fraioal order
More informationEconomics 8723 Macroeconomic Theory Problem Set 3 Sketch of Solutions Professor Sanjay Chugh Spring 2017
Deparme of Ecoomic The Ohio Sae Uiveriy Ecoomic 8723 Macroecoomic Theory Problem Se 3 Skech of Soluio Profeor Sajay Chugh Sprig 27 Taylor Saggered Nomial Price-Seig Model There are wo group of moopoliically-compeiive
More informationProblem Set #3: AK models
Universiy of Warwick EC9A2 Advanced Macroeconomic Analysis Problem Se #3: AK models Jorge F. Chavez December 3, 2012 Problem 1 Consider a compeiive economy, in which he level of echnology, which is exernal
More informationMoment Generating Function
1 Mome Geeraig Fucio m h mome m m m E[ ] x f ( x) dx m h ceral mome m m m E[( ) ] ( ) ( x ) f ( x) dx Mome Geeraig Fucio For a real, M () E[ e ] e k x k e p ( x ) discree x k e f ( x) dx coiuous Example
More informationL-functions and Class Numbers
L-fucios ad Class Numbers Sude Number Theory Semiar S. M.-C. 4 Sepember 05 We follow Romyar Sharifi s Noes o Iwasawa Theory, wih some help from Neukirch s Algebraic Number Theory. L-fucios of Dirichle
More informationCalculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws.
Limi of a fucio.. Oe-Sided..... Ifiie limis Verical Asympoes... Calculaig Usig he Limi Laws.5 The Squeeze Theorem.6 The Precise Defiiio of a Limi......7 Coiuiy.8 Iermediae Value Theorem..9 Refereces..
More informationExtended Laguerre Polynomials
I J Coemp Mah Scieces, Vol 7, 1, o, 189 194 Exeded Laguerre Polyomials Ada Kha Naioal College of Busiess Admiisraio ad Ecoomics Gulberg-III, Lahore, Pakisa adakhaariq@gmailcom G M Habibullah Naioal College
More informationClock Skew and Signal Representation
Clock Skew ad Sigal Represeaio Ch. 7 IBM Power 4 Chip 0/7/004 08 frequecy domai Program Iroducio ad moivaio Sequeial circuis, clock imig, Basic ools for frequecy domai aalysis Fourier series sigal represeaio
More informationTransverse Wave Motion
Trasverse Wave Moio Defiiio of Waves wave is a disurbae ha moves hrough a medium wihou givig he medium, as a whole, a permae displaeme. The geeral ame for hese waves is progressive wave. If he disurbae
More informationA Note on Random k-sat for Moderately Growing k
A Noe o Radom k-sat for Moderaely Growig k Ju Liu LMIB ad School of Mahemaics ad Sysems Sciece, Beihag Uiversiy, Beijig, 100191, P.R. Chia juliu@smss.buaa.edu.c Zogsheg Gao LMIB ad School of Mahemaics
More informationT. 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 information12 Getting Started With Fourier Analysis
Commuicaios Egieerig MSc - Prelimiary Readig Geig Sared Wih Fourier Aalysis Fourier aalysis is cocered wih he represeaio of sigals i erms of he sums of sie, cosie or complex oscillaio waveforms. We ll
More informationEnergy Density / Energy Flux / Total Energy in 1D. Key Mathematics: density, flux, and the continuity equation.
ecure Phys 375 Eergy Desiy / Eergy Flu / oal Eergy i D Overview ad Moivaio: Fro your sudy of waves i iroducory physics you should be aware ha waves ca raspor eergy fro oe place o aoher cosider he geeraio
More informationBig O Notation for Time Complexity of Algorithms
BRONX COMMUNITY COLLEGE of he Ciy Uiversiy of New York DEPARTMENT OF MATHEMATICS AND COMPUTER SCIENCE CSI 33 Secio E01 Hadou 1 Fall 2014 Sepember 3, 2014 Big O Noaio for Time Complexiy of Algorihms Time
More informationChemistry 1B, Fall 2016 Topics 21-22
Cheisry B, Fall 6 Topics - STRUCTURE ad DYNAMICS Cheisry B Fall 6 Cheisry B so far: STRUCTURE of aos ad olecules Topics - Cheical Kieics Cheisry B ow: DYNAMICS cheical kieics herodyaics (che C, 6B) ad
More informationmywbut.com Lesson 11 Study of DC transients in R-L-C Circuits
mywbu.om esson Sudy of DC ransiens in R--C Ciruis mywbu.om Objeives Be able o wrie differenial equaion for a d iruis onaining wo sorage elemens in presene of a resisane. To develop a horough undersanding
More informationPure Math 30: Explained!
ure Mah : Explaied! www.puremah.com 6 Logarihms Lesso ar Basic Expoeial Applicaios Expoeial Growh & Decay: Siuaios followig his ype of chage ca be modeled usig he formula: (b) A = Fuure Amou A o = iial
More informationSIMULATION STUDY OF STOCHASTIC CHANNEL REDISTRIBUTION
Developmens in Business Simulaion and Experienial Learning, Volume 3, 3 SIMULATIO STUDY OF STOCHASTIC CHAEL REDISTRIBUTIO Yao Dong-Qing Towson Universiy dyao@owson.edu ABSTRACT In his paper, we invesigae
More information6.003: Signals and Systems Lecture 20 April 22, 2010
6.003: Sigals ad Sysems Lecure 0 April, 00 6.003: Sigals ad Sysems Relaios amog Fourier Represeaios Mid-erm Examiaio #3 Wedesday, April 8, 7:30-9:30pm. No reciaios o he day of he exam. Coverage: Lecures
More informationActuarial Society of India
Acuarial Sociey of Idia EXAMINAIONS Jue 5 C4 (3) Models oal Marks - 5 Idicaive Soluio Q. (i) a) Le U deoe he process described by 3 ad V deoe he process described by 4. he 5 e 5 PU [ ] PV [ ] ( e ).538!
More information2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i)
Mah PracTes Be sure o review Lab (ad all labs) There are los of good quesios o i a) Sae he Mea Value Theorem ad draw a graph ha illusraes b) Name a impora heorem where he Mea Value Theorem was used i he
More informationLinear System Theory
Naioal Tsig Hua Uiversiy Dearme of Power Mechaical Egieerig Mid-Term Eamiaio 3 November 11.5 Hours Liear Sysem Theory (Secio B o Secio E) [11PME 51] This aer coais eigh quesios You may aswer he quesios
More informationProblem Set 5. Graduate Macro II, Spring 2017 The University of Notre Dame Professor Sims
Problem Se 5 Graduae Macro II, Spring 2017 The Universiy of Nore Dame Professor Sims Insrucions: You may consul wih oher members of he class, bu please make sure o urn in your own work. Where applicable,
More informationApplication Modified Hurst Exponent algorithm for the discretetime
03 (5) [ 96-8] ** *. (H).. (PI F ) (D) (-0).malab(7.4) maple(6.). (-0) :. Appliaio Modified Hurs Expoe algorihm for he disreeime food hai Absra I his paper persisee, fraal dimesio, ad prediabiliy idex
More informationOn the Existence and Uniqueness of Solutions for. Q-Fractional Boundary Value Problem
I Joural of ah Aalysis, Vol 5, 2, o 33, 69-63 O he Eisee ad Uiueess of Soluios for Q-Fraioal Boudary Value Prolem ousafa El-Shahed Deparme of ahemais, College of Eduaio Qassim Uiversiy PO Bo 377 Uizah,
More informationReview Answers for E&CE 700T02
Review Aswers for E&CE 700T0 . Deermie he curre soluio, all possible direcios, ad sepsizes wheher improvig or o for he simple able below: 4 b ma c 0 0 0-4 6 0 - B N B N ^0 0 0 curre sol =, = Ch for - -
More informationEconomics 8105 Macroeconomic Theory Recitation 6
Economics 8105 Macroeconomic Theory Reciaion 6 Conor Ryan Ocober 11h, 2016 Ouline: Opimal Taxaion wih Governmen Invesmen 1 Governmen Expendiure in Producion In hese noes we will examine a model in which
More informationLinear Quadratic Regulator (LQR) - State Feedback Design
Linear Quadrai Regulaor (LQR) - Sae Feedbak Design A sysem is expressed in sae variable form as x = Ax + Bu n m wih x( ) R, u( ) R and he iniial ondiion x() = x A he sabilizaion problem using sae variable
More informationLinear Time Invariant Systems
1 Liear Time Ivaria Sysems Oulie We will show ha he oupu equals he covoluio bewee he ipu ad he ui impulse respose: sysem for a discree-ime, for a coiuous-ime sysdem, y x h y x h 2 Discree Time LTI Sysems
More informationLecture Notes 3: Quantitative Analysis in DSGE Models: New Keynesian Model
Lecure Noes 3: Quaniaive Analysis in DSGE Models: New Keynesian Model Zhiwei Xu, Email: xuzhiwei@sju.edu.cn The moneary policy plays lile role in he basic moneary model wihou price sickiness. We now urn
More informationThe Eigen Function of Linear Systems
1/25/211 The Eige Fucio of Liear Sysems.doc 1/7 The Eige Fucio of Liear Sysems Recall ha ha we ca express (expad) a ime-limied sigal wih a weighed summaio of basis fucios: v ( ) a ψ ( ) = where v ( ) =
More informationF D D D D F. smoothed value of the data including Y t the most recent data.
Module 2 Forecasig 1. Wha is forecasig? Forecasig is defied as esimaig he fuure value ha a parameer will ake. Mos scieific forecasig mehods forecas he fuure value usig pas daa. I Operaios Maageme forecasig
More informationDepartment of Mathematical and Statistical Sciences University of Alberta
MATH 4 (R) Wier 008 Iermediae Calculus I Soluios o Problem Se # Due: Friday Jauary 8, 008 Deparme of Mahemaical ad Saisical Scieces Uiversiy of Albera Quesio. [Sec.., #] Fid a formula for he geeral erm
More informationDynamic h-index: the Hirsch index in function of time
Dyamic h-idex: he Hirsch idex i fucio of ime by L. Egghe Uiversiei Hassel (UHassel), Campus Diepebeek, Agoralaa, B-3590 Diepebeek, Belgium ad Uiversiei Awerpe (UA), Campus Drie Eike, Uiversieisplei, B-260
More informationth m m m m central moment : E[( X X) ] ( X X) ( x X) f ( x)
1 Trasform Techiques h m m m m mome : E[ ] x f ( x) dx h m m m m ceral mome : E[( ) ] ( ) ( x) f ( x) dx A coveie wa of fidig he momes of a radom variable is he mome geeraig fucio (MGF). Oher rasform echiques
More informationInventory Optimization for Process Network Reliability. Pablo Garcia-Herreros
Iveory Opimizaio for Process Nework eliabiliy Pablo Garcia-Herreros Iroducio Process eworks describe he operaio of chemical plas Iegraio of complex operaios Coiuous flowraes Iveory availabiliy is cosraied
More informationNotes 03 largely plagiarized by %khc
1 1 Discree-Time Covoluio Noes 03 largely plagiarized by %khc Le s begi our discussio of covoluio i discree-ime, sice life is somewha easier i ha domai. We sar wih a sigal x[] ha will be he ipu io our
More informationA Generalized Cost Malmquist Index to the Productivities of Units with Negative Data in DEA
Proceedigs of he 202 Ieraioal Coferece o Idusrial Egieerig ad Operaios Maageme Isabul, urey, July 3 6, 202 A eeralized Cos Malmquis Ide o he Produciviies of Uis wih Negaive Daa i DEA Shabam Razavya Deparme
More informationConditional Probability and Conditional Expectation
Hadou #8 for B902308 prig 2002 lecure dae: 3/06/2002 Codiioal Probabiliy ad Codiioal Epecaio uppose X ad Y are wo radom variables The codiioal probabiliy of Y y give X is } { }, { } { X P X y Y P X y Y
More informationUsing Linnik's Identity to Approximate the Prime Counting Function with the Logarithmic Integral
Usig Lii's Ideiy o Approimae he Prime Couig Fucio wih he Logarihmic Iegral Naha McKezie /26/2 aha@icecreambreafas.com Summary:This paper will show ha summig Lii's ideiy from 2 o ad arragig erms i a cerai
More informationCONSERVATION LAWS OF COUPLED KLEIN-GORDON EQUATIONS WITH CUBIC AND POWER LAW NONLINEARITIES
THE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 5, Number /04, pp. 9 CONSERVATION LAWS OF COUPLED KLEIN-GORDON EQUATIONS WITH CUBIC AND POWER LAW NONLINEARITIES
More informationECE 340 Lecture 15 and 16: Diffusion of Carriers Class Outline:
ECE 340 Lecure 5 ad 6: iffusio of Carriers Class Oulie: iffusio rocesses iffusio ad rif of Carriers Thigs you should kow whe you leave Key Quesios Why do carriers diffuse? Wha haes whe we add a elecric
More informationOnline Supplement to Reactive Tabu Search in a Team-Learning Problem
Olie Suppleme o Reacive abu Search i a eam-learig Problem Yueli She School of Ieraioal Busiess Admiisraio, Shaghai Uiversiy of Fiace ad Ecoomics, Shaghai 00433, People s Republic of Chia, she.yueli@mail.shufe.edu.c
More informationThe 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 informationMidterm Exam. Tuesday, September hour, 15 minutes
Ecoomcs of Growh, ECON560 Sa Fracsco Sae Uvers Mchael Bar Fall 203 Mderm Exam Tuesda, Sepember 24 hour, 5 mues Name: Isrucos. Ths s closed boo, closed oes exam. 2. No calculaors of a d are allowed. 3.
More informationNumber of modes per unit volume of the cavity per unit frequency interval is given by: Mode Density, N
SMES404 - LASER PHYSCS (LECTURE 5 on /07/07) Number of modes per uni volume of he aviy per uni frequeny inerval is given by: 8 Mode Densiy, N (.) Therefore, energy densiy (per uni freq. inerval); U 8h
More informationLecture 15: Three-tank Mixing and Lead Poisoning
Lecure 15: Three-ak Miig ad Lead Poisoig Eigevalues ad eigevecors will be used o fid he soluio of a sysem for ukow fucios ha saisfy differeial equaios The ukow fucios will be wrie as a 1 colum vecor [
More informationExercise 3 Stochastic Models of Manufacturing Systems 4T400, 6 May
Exercise 3 Sochasic Models of Maufacurig Sysems 4T4, 6 May. Each week a very popular loery i Adorra pris 4 ickes. Each ickes has wo 4-digi umbers o i, oe visible ad he oher covered. The umbers are radomly
More informationIf boundary values are necessary, they are called mixed initial-boundary value problems. Again, the simplest prototypes of these IV problems are:
3. Iiial value problems: umerical soluio Fiie differeces - Trucaio errors, cosisecy, sabiliy ad covergece Crieria for compuaioal sabiliy Explici ad implici ime schemes Table of ime schemes Hyperbolic ad
More informationClass #25 Wednesday, April 19, 2018
Cla # Wedesday, April 9, 8 PDE: More Heat Equatio with Derivative Boudary Coditios Let s do aother heat equatio problem similar to the previous oe. For this oe, I ll use a square plate (N = ), but I m
More informationLet s express the absorption of radiation by dipoles as a dipole correlation function.
MIT Deparme of Chemisry 5.74, Sprig 004: Iroducory Quaum Mechaics II Isrucor: Prof. Adrei Tokmakoff p. 81 Time-Correlaio Fucio Descripio of Absorpio Lieshape Le s express he absorpio of radiaio by dipoles
More informationKing Fahd University of Petroleum & Minerals Computer Engineering g Dept
Kig Fahd Uiversiy of Peroleum & Mierals Compuer Egieerig g Dep COE 4 Daa ad Compuer Commuicaios erm Dr. shraf S. Hasa Mahmoud Rm -4 Ex. 74 Email: ashraf@kfupm.edu.sa 9/8/ Dr. shraf S. Hasa Mahmoud Lecure
More informationOutline. simplest HMM (1) simple HMMs? simplest HMM (2) Parameter estimation for discrete hidden Markov models
Oulie Parameer esimaio for discree idde Markov models Juko Murakami () ad Tomas Taylor (2). Vicoria Uiversiy of Welligo 2. Arizoa Sae Uiversiy Descripio of simple idde Markov models Maximum likeliood esimae
More informationModeling Micromixing Effects in a CSTR
delig irixig Effes i a STR STR, f all well behaved rears, has he wides RTD i.e. This eas ha large differees i perfrae a exis bewee segregaed flw ad perais a axiu ixedess diis. The easies hig rea is he
More informationLecture 3: Solow Model II Handout
Economics 202a, Fall 1998 Lecure 3: Solow Model II Handou Basics: Y = F(K,A ) da d d d dk d = ga = n = sy K The model soluion, for he general producion funcion y =ƒ(k ): dk d = sƒ(k ) (n + g + )k y* =
More informationAmit Mehra. Indian School of Business, Hyderabad, INDIA Vijay Mookerjee
RESEARCH ARTICLE HUMAN CAPITAL DEVELOPMENT FOR PROGRAMMERS USING OPEN SOURCE SOFTWARE Ami Mehra Indian Shool of Business, Hyderabad, INDIA {Ami_Mehra@isb.edu} Vijay Mookerjee Shool of Managemen, Uniersiy
More informationELEG5693 Wireless Communications Propagation and Noise Part II
Deparme of Elecrical Egieerig Uiversiy of Arkasas ELEG5693 Wireless Commuicaios Propagaio ad Noise Par II Dr. Jigxia Wu wuj@uark.edu OUTLINE Wireless chael Pah loss Shadowig Small scale fadig Simulaio
More informationThe Central Limit Theorem
The Ceral Limi Theorem The ceral i heorem is oe of he mos impora heorems i probabiliy heory. While here a variey of forms of he ceral i heorem, he mos geeral form saes ha give a sufficiely large umber,
More informationRandom Signals and Systems
-5 Radom Sigals ad Sysems ex Radom Sigals ad Sysems, Rihard E. Morese, Wiley. Chaper 6, 8 ad. Chaper Disussio of Probabiliy ad Sohasi Proesses Probabiliy is a quaiy of he ueraiy ha a radom eve will our.
More informationFourier transform. Continuous-time Fourier transform (CTFT) ω ω
Fourier rasform Coiuous-ime Fourier rasform (CTFT P. Deoe ( he Fourier rasform of he sigal x(. Deermie he followig values, wihou compuig (. a (0 b ( d c ( si d ( d d e iverse Fourier rasform for Re { (
More information