Maximum Principle and the Applications of Mean-Field Backward Doubly Stochastic System

Μέγεθος: px
Εμφάνιση ξεκινά από τη σελίδα:

Download "Maximum Principle and the Applications of Mean-Field Backward Doubly Stochastic System"

Transcript

1 Pre and Applied Mahemaic Jornal 5; 4(3: -8 Pblihed online Jne 8 5 (hp://wwwciencepblihinropcom/j/pamj doi: 648/jpamj5437 ISSN: (Prin; ISSN: (Online Maximm Principle and he Applicaion o Mean-Field Backward Dobly Sochaic Syem Hon Zhan Jinyi Wan eny Zhao 3 Li Zho School o Inormaion Beijin Wzi Univeriy Beijin China School o Bankin and Finance Univeriy o Inernaional Bine and Economic Beijin China 3 School o Manaemen Science and Enineerin Cenral Univeriy o Finance and Economic Beijin China addre drywenjnxian@mailcom (Hon Zhan o cie hi aricle: Hon Zhan Jinyi Wan eny Zhao Li Zho Maximm Principle and he Applicaion o Mean-Field Backward Dobly Sochaic Syem Pre and Applied Mahemaic Jornal Vol 4 No 3 5 pp -8 doi: 648/jpamj5437 Abrac: Since Pardox and Pen irly died he ollowin nonlinear backward ochaic dierenial eqaion in 99 he heory o BSDE ha been widely died and applied epecially in he ochaic conrol ochaic dierenial ame inancial mahemaic and parial dierenial eqaion In 994 Pardox and Pen came p wih backward dobly ochaic dierenial eqaion o ive he probabiliic inerpreaion or ochaic parial dierenial eqaion Backward dobly ochaic dierenial eqaion heory ha been widely died becae o i imporance in ochaic parial dierenial eqaion and ochaic conrol problem In hi aricle we will dy he heory o dobly ochaic yem and relaed opic rher Keyword: Mean-Field Backward Dobly Sochaic Syem Sochaic Conrol Inrodcion eron and Djehiche Bckdahn Djehiche and Li Meyer Brandi kendal and Zho and Lihave died he opimal conrol problem abo Mean-ield ochaic dierenial yem Inpired by he above problem in he paper we dy he opimal conrol problem abo Mean-ield backward dobly ochaic yem In he iaion ha conrol ield o he convex and coeicien conain conrol variable Uin convex variaional and dal echnoloy we preen he local and lobal ochaic maximm principle proved a icien condiion o opimaliy (veriicaion heorem and a neceary condiion[-4] he Conrol Problem o Mean-Field Backward Dobly Sochaic Syem For imple markin make m = n = d = l = k = k = Given convex be deined a k U R allowin he conrol e i ad = { :[ ] U i F - mearable E ( d < } o For any ad ξ L ( F P;R conider he ollowin MF - BDSDE: i = ( = ξ Γ ( ( Z ( ( d Z ( d W( Γ ( ( Z ( ( d B( i i Γ ( ( Z ( ( = θ ( ( Z ( v( ( Z ( ( P( d θ : [ ] R R U R R U R θ : [ ] R R U R R U R

2 Pre and Applied Mahemaic Jornal 5; 4(3: -8 Perormance indicaor i l ( J ( ( = E Γ ( ( Z ( ( d E[E h ( ( ( ] h: R R R l Γ ( ( Z ( ( = l( ( Z ( ( ( Z ( ( P( d l U U R : [ ] R R R R Conrol problem i lookin or admiion conrol o make perormance indicaor reachin he minimm vale on he ad Sppoin ha [5-6] (H ( θ θ l h i coninoly diereniable abo y y' z z' v v 'and he derivaive o h and i i linear rowh θ θ mee niorm Lipchiz condiion abo ( ' ' ' ( y z y z v v In oher word here exi Li Ki α j or i = y z y' z' v v' j = 34 makin θ ( y z y z θ ( y z y z L y y L z z L y y L z z L y z y z v Lv θ ( y z y z θ ( y z y z y y v v α3 α 4 K y y K y y K K z z z z = 6 ( [ ] ( yi zi yi zi i i R i l θ o d< = E E ( l l l θ ( w w' = θ ( w w' α3 α4 < Under he above ampion or any v( i ad here v v exi a niqe olion ( Z S ( ; R M ( ; R o he eqaion ( he perormance index deined i reaonable[7-8] Amed ( i he opimal conrol ( Z ( i he v correpondin opimal rajecory v ( mee ad becae o he convexiy o ad or any = v olion Z o ad here exi a niqe Lemma hypohei (H i eablihed or any [ ] E ( ˆ ( C E Z ( Zˆ ( d C Proo Noice ha MF-BDSDE: ( ˆ ( o mee he ollowin ˆ ( ( = [ Γ ( ( Z ( ( Γ ( ˆ ( Zˆ ( ˆ ( ] d [ Γ ( ( Z ( ( Γ ( ˆ ( Zˆ ( ˆ ( ] db( ( Z ( Zˆ ( dw( Applyin Io ormla o ( ˆ ( E( ( ˆ ( Z ( Zˆ ( d ˆ = E ( ( Γ ( ( Z ( ( Γ ( ˆ ( Zˆ ( ˆ ( d Accordin o (H here i E Γ ( ( Z ( ( Γ ( ˆ ( Zˆ ( ˆ ( d

3 3 Hon Zhan e al: Maximm Principle and he Applicaion o Mean-Field Backward Dobly Sochaic Syem E ( ˆ ( E Z ( Zˆ ( d k E ( ˆ( d k E ( d ki( i = i conan rely on (H Accordin Gronwall Ineqaliy and Brkholder-Davi-Gndy Ineqaliy rel are veriied For imple markin make ˆ α( = α( ˆ ( Zˆ ( ˆ ( ˆ ( Zˆ ( ˆ ( α ( = α( ( Z ( ( ( Z ( ( ( = ( F ( ( ( d G ( ( ( db ( ξ ψ ξ η ξ η η ( dw ( ( ( F ξ η = Ε θ y ξ θ z η θ y ξ θ z η ( G ξ η = Ε θ y ξ θ z η θ y ξ θ z η ( ( ( d ( ( db ψ = θ θ θ θ Ε Ε Marked y y Ε θ ξ θ ξ d = Ρ y y Ε θ ξ θ ξ d = Ρ Under he above ampion or any v( i ad here exi a niqe olion ( ξ ( η ( S ([ ];R ( ; he eqaion ( Lemma Marked ( ( = ξ ( z ( y Z Z = η ( M R o ( y z lim p Ε y ( = [ ] i he olion o he eqaion a ollow lim Ε z d = (3 δ = dy = y = Ε y y z z y y z z d Ε y y z z y y z z db z dw ( = λ ( = λ δ ( = ( δy θy Z Z dλ

4 Pre and Applied Mahemaic Jornal 5; 4(3: -8 4 and δ ( = δ θ ξ δ θ η δ θ ξ δ δ δ y y z z y y z δ θ η δ θ δ θ δ δ δ z Applyin Io ormla o y ( on [ ] Ε y ( Ε z ( d = Ε y ( Ε y z y z Accordin o (H here i y z y z d y z y z Ε Ε y z y z d k i conan when 时 opimal conrol Ε y Ε z d kε y d C C Accordin Gronwall Ineqaliy rel are veriied Becae o ( ( J J i he (4 Accordin o lemma here i lemma 3 Hypohei (H wa eablihed hen he ollowin variaion ineqaliy i eablihed [9-] : Ε Ε ξ η ξ η ly lz ly lz l l d ΕΕ h y ( ξ hy ( ξ (5 Ε l y ( ξ ( = l y ( ξ ( Ρ( d Proo ΕΕ h h = ΕΕ h ( y dλ ΕΕ ( y ( = λ ( hy ( ΕΕ hy ξ ξ h d { Ε Ε l ( l ( d } Ε Ε y ξ z η y ξ z η l l l l l l d λ o (5 i veriied Coniderin he adjoin eqaion: * * = Ε y Ε y ( ( G p q dw q db p h h F p q d (6 ( θ θ ( p ( F p q = Ε y p θ y q ly ( q ( l ( Ε θ * * * y y y

5 5 Hon Zhan e al: Maximm Principle and he Applicaion o Mean-Field Backward Dobly Sochaic Syem ( θ θ ( p ( * * * G p q = Ε z p θ z q lz Ε z θ z q lz Ε l = l Ρ d y y ( ( * * * y y ( ( * * * * * Ε θ p θ = p Ρ d Deine he Hamilonian ncion H :[ ] R R R R R R R R Ra ollow ( = θ ( θ ( H y z y z p q y z y z p y z y z q ( l y z y z (7 By he variaional ineqaliy (7 we preen MF - BDSDE ochaic conrol problem o ochaic maximm principle ˆ Z ˆ ˆ i he opimal rajecory o he conrol heorem (ochaic maximm principle Amed problem{((} v U ae [ ] a * * H Ε H ( Ε (8 where H ( H ( Z ( ( ( Z ( ( p ( q( = (9 Proo Applyin Io ormla o ξ ( p ( we can e Ε ξp = Ε Ε l y ξ lz η ly ξ lz η d Ε θ p θ q Ε d Accordin (5 we can e Accordin Hamilonian ncion we can e Ε ( ( p ( Ε θ θ q Ε d Ε θ p θ q l Ε d ( ( p ( Ε θ θ q l Ε d ( * * * * Ε H Z Z ( * * ( ( Ε ( ( ( ( ( ( ( ( p q H Z Z For any v U F i he any elemen o σ Alebra ( F ein p q d ( ( = ( ( [ [ [ [ ] F F We can know v( ad becae ( mee ( ( ein ad ( ( ( rewrien a = he above ineqaliie can be

6 Pre and Applied Mahemaic Jornal 5; 4(3: -8 6 Dierenial on a variable a = we can e So (8 i veriied * * Ε F Ε H Ε H d * * Ε F Ε H Ε H 3 Mean-Field Backward Dobly Sochaic LQ Problem hi ecion we apply he maximm vale principle o Mean-ield backward dobly ochaic LQ problem ( Z Z q Q Q ( = = A ( B ( Z C ( A ( B ( Z C ( ( Z Z = D ( E ( Z F ( D ( E ( Z F ( ( l Z Z = M ( N ( Z W ( M ( N ( Z W ( A [ ] R i : i bonded w w' A i w w' i i i i aiie he hypohei M N are nonneaive R i poiive he ae eqaion i M mearable (imilarly oher coeicien { E E E } E = ξ A B Z C d D E Z F db { E E E } Z dw Perormance indicaor i J ( ( A B Z C d { E D E ( Z F ( } db E ( E E = M N Z W d Q ( M N Z W d Q E E E i i In order o mark i imple p or A Hamilonian ncion i ( y z v y z v p q = H Accordin heorem we can e A ( A y B z C v A y B z C v p D y E z F v D y E z F v q M y N z W v M y N z W v ( C p F q W * * * = E C p F q W E (

7 7 Hon Zhan e al: Maximm Principle and he Applicaion o Mean-Field Backward Dobly Sochaic Syem ( ( ( = * E C p C p P d ( ( ( = E * W W * P d * ( ( ( = * * * * * E C p C p P d * = E ( E G ( p ( q ( dw ( q ( db ( p Q Q F p q d ( = A ( p( D ( q( M ( E * A ( p * ( D ( q * ( M ( F p q E ( = B ( p( E ( q( N ( E * B ( p * ( E ( q * ( N ( G p q E ( heorem Ame ha aiy (9 he (p i he olion o eqaion ( he above LQ problem have niqe olion Proo J ( J E E = M N Z Z d E E W M S d E E N Z Z W d EE Q Q ( M N Z Z Z d E E E E ( E E N Z Z Z W d Applyin Io ormla o p w on [ ] EE Q Q ( W M d EE Q Q ( ( = E E C p ( F q d ( E E ( ( ( E E M ( N Z Z Z d M N Z Z Z d E E We can e ( E E ( J J C p F q d C p F q d ( ( E E W W d E E C p F q d ( = E E C p F q d E E W ( * * E E * C ( p F q d heorem i veriied * ( E W ( ( d

8 Pre and Applied Mahemaic Jornal 5; 4(3: Smmary heorem (ochaic maximm principle Amed problem{((} where heorem Ame ha aiy (9 he (p i he olion o eqaion ( he above LQ problem have niqe olion Acknowledemen hi paper i nded by he projec o Naional Naral Science Fnd Loiic diribion o ariicial order pickin random proce model analyi and reearch (Projec nmber: 73733; and nded by inellien loiic yem Beijin Key Laboraory (NoBZ; and nded by cieniic-reearch bae--- Science & echnoloy Innovaion Plaorm---Modern loiic inormaion and conrol echnoloy reearch (Projec nmber: PXM5_44_; and nded by 4-5 chool year Beijin Wzi Univeriy Collee den' cieniic reearch and enreprenerial acion plan projec (No68; and nded by Beijin Wzi Univeriy nhe cholar proram(633/7; and nded by Beijin Wzi Univeriy Manaemen cience and enineerin Proeional rop o conrcion projec (No PXM5_44_39 Univeriy Clivaion Fnd Projec o 4-Reearch on Coneion Model and alorihm o pickin yem in diribion cener (54573 Reerence [ ] a v U ae [] A Szkala A Knee-ype heorem or eqaion x= ( x in locally convex pace Jornal or analyi and i applicaion 8 (999-6 ( ( Z ( ( * * H Ε H ( Ε i he opimal rajecory o he conrol H ( = H ( Z ( ( ( Z ( ( p ( q ( (3 (4 [] M an and Q Zhan Opimal variaional principle or backward ochaic conrol yem aociaed wih Levy procee Sci China Mah 55 ( [3] SevaS an and X Li Neceary condiion or opimal conrol o ochaic yem wih random jmp SIAM J Conrol Opim 3 ( [4] J Valero On he kneer propery or ome parapolic problem opoloy and i applicanon 55 ( [5] Z W Maximm principle or opimal conrol problem o lly copled orward-backward ochaic yem J Syem Sci Mah Sci ( [6] Z W Forward-backward ochaic dierenial eqaion wih Brownian Moion and Proce Poion Aca Mah Appl Sinica Enlih Serie 5 ( [7] Z W A maximm principle or parially oberved opimal conrol o orward-backward ochaic conrol yem Sci China Ser F 53 ( 5-4 [8] Z W and Z Flly copled orward-backward ochaic dierenial eqaion and relaed parial dierenial eqaion yem Chinee Ann Mah Ser A 5 ( [9] H Xiao and G Wan A neceary condiion or opimal conrol o iniial copled orward-backward ochaic dierenial eqaion wih parial inormaion J Appl Mah Comp 37 ( [] J Xion An Inrodcion o Sochaic Filerin heory London UK: Oxord Univeriy Pre 8

( ) ( 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

( ) ( 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 περισσότερα

α ]0,1[ of Trigonometric Fourier Series and its Conjugate

α ]0,1[ of Trigonometric Fourier Series and its Conjugate aqartvelo mecierebata erovuli aademii moambe 3 # 9 BULLETIN OF THE GEORGIN NTIONL CDEMY OF SCIENCES vol 3 o 9 Mahemaic Some pproimae Properie o he Cezàro Mea o Order ][ o Trigoomeric Fourier Serie ad i

Διαβάστε περισσότερα

Approximation of the Lerch zeta-function

Approximation of the Lerch zeta-function Approximaion of he Lerch zea-funcion Ramūna Garunkši Deparmen of Mahemaic and Informaic Vilniu Univeriy Naugarduko 4 035 Vilniu Lihuania ramunagarunki@mafvul Abrac We conider uniform in parameer approximaion

Διαβάστε περισσότερα

Global Attractor for a Class of Nonlinear Generalized Kirchhoff-Boussinesq Model

Global Attractor for a Class of Nonlinear Generalized Kirchhoff-Boussinesq Model Inernaional Journal of Modern Nonlinear Theory and Applicaion, 6, 5, 8-9 Publihed Online March 6 in SciRe hp://wwwcirporg/journal/ijmna hp://dxdoiorg/36/ijmna659 Global Aracor for a la of Nonlinear Generalized

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).

= 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 περισσότερα

The 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.

The 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 περισσότερα

J. 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]

J. 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 περισσότερα

Αλγόριθμοι και πολυπλοκότητα Maximum Flow

Αλγόριθμοι και πολυπλοκότητα Maximum Flow ΕΛΛΗΝΙΚΗ ΔΗΜΟΚΡΑΤΙΑ ΠΑΝΕΠΙΣΤΗΜΙΟ ΚΡΗΤΗΣ Αλγόριθμοι και πολυπλοκότητα Maximm Flo Ιωάννης Τόλλης Τμήμα Επιστήμης Υπολογιστών Maximm Flo χ 3/5 4/6 4/7 1/9 3/5 5/11/2008 11:05 PM Maximm Flo 1 Oline and Reading

Διαβάστε περισσότερα

Vidyalankar. Vidyalankar S.E. Sem. III [BIOM] Applied Mathematics - III Prelim Question Paper Solution. 1 e = 1 1. f(t) =

Vidyalankar. Vidyalankar S.E. Sem. III [BIOM] Applied Mathematics - III Prelim Question Paper Solution. 1 e = 1 1. f(t) = . (a). (b). (c) f() L L e i e Vidyalakar S.E. Sem. III [BIOM] Applied Mahemaic - III Prelim Queio Paper Soluio L el e () i ( ) H( ) u e co y + 3 3y u e co y + 6 uy e i y 6y uyy e co y 6 u + u yy e co y

Διαβάστε περισσότερα

Fractional Calculus. Student: Manal AL-Ali Dr. Abdalla Obeidat

Fractional Calculus. Student: Manal AL-Ali Dr. Abdalla Obeidat Fracional Calculu Suen: Manal AL-Ali Dr. Aballa Obeia Deignaion Deignaion mean inegraion an iffereniaion of arbirary orer, In oher ereion i mean ealing wih oeraor like,, i arbirary real or Comle value.

Διαβάστε περισσότερα

GENERAL FRACTIONAL CALCULUS OPERATORS CONTAINING THE GENERALIZED MITTAG-LEFFLER FUNCTIONS APPLIED TO ANOMALOUS RELAXATION

GENERAL FRACTIONAL CALCULUS OPERATORS CONTAINING THE GENERALIZED MITTAG-LEFFLER FUNCTIONS APPLIED TO ANOMALOUS RELAXATION Yang X. e al.: General Fracional Calculu Operaor Conaining he Generalize... THERMAL SCIENCE: Year 217 Vol. 21 Suppl. 1 pp. S317-S326 S317 GENERAL FRACTIONAL CALCULUS OPERATORS CONTAINING THE GENERALIZED

Διαβάστε περισσότερα

Congruence Classes of Invertible Matrices of Order 3 over F 2

Congruence 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 περισσότερα

Managing Production-Inventory Systems with Scarce Resources

Managing 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 περισσότερα

Vol. 40 No Journal of Jiangxi Normal University Natural Science Jul. 2016

Vol. 40 No Journal of Jiangxi Normal University Natural Science Jul. 2016 4 4 Vol 4 No 4 26 7 Journal of Jiangxi Normal Universiy Naural Science Jul 26-5862 26 4-349-5 3 2 6 2 67 3 3 O 77 9 A DOI 6357 /j cnki issn-5862 26 4 4 C q x' x /q G s = { α 2 - s -9 2 β 2 2 s α 2 - s

Διαβάστε περισσότερα

The martingale pricing method for pricing fluctuation concerning stock models of callable bonds with random parameters

The martingale pricing method for pricing fluctuation concerning stock models of callable bonds with random parameters 32 Vol 32 2 Journal of Harbin Engineering Univerity Jan 2 doi 3969 /j in 6-743 2 23 5 2 F83 9 A 6-743 2-24-5 he martingale pricing method for pricing fluctuation concerning tock model of callable bond

Διαβάστε περισσότερα

On the Galois Group of Linear Difference-Differential Equations

On the Galois Group of Linear Difference-Differential Equations On the Galois Group of Linear Difference-Differential Equations Ruyong Feng KLMM, Chinese Academy of Sciences, China Ruyong Feng (KLMM, CAS) Galois Group 1 / 19 Contents 1 Basic Notations and Concepts

Διαβάστε περισσότερα

Asymptotic behavior of solutions of mixed type impulsive neutral differential equations

Asymptotic behavior of solutions of mixed type impulsive neutral differential equations Tariboon e al. Advance in Difference Equaion 2014, 2014:327 hp://www.advanceindifferenceequaion.com/conen/2014/1/327 R E S E A R C H Open Acce Aympoic behavior of oluion of mixed ype impulive neural differenial

Διαβάστε περισσότερα

Lecture 12 Modulation and Sampling

Lecture 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 περισσότερα

Nonlinear Analysis: Modelling and Control, 2013, Vol. 18, No. 4,

Nonlinear 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 περισσότερα

Necessary and sufficient conditions for oscillation of first order nonlinear neutral differential equations

Necessary 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 περισσότερα

APPENDIX A DERIVATION OF JOINT FAILURE DENSITIES

APPENDIX 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 περισσότερα

Research Article Existence of Positive Solutions for Fourth-Order Three-Point Boundary Value Problems

Research Article Existence of Positive Solutions for Fourth-Order Three-Point Boundary Value Problems Hindawi Publihing Corporation Boundary Value Problem Volume 27, Article ID 68758, 1 page doi:1.1155/27/68758 Reearch Article Exitence of Poitive Solution for Fourth-Order Three-Point Boundary Value Problem

Διαβάστε περισσότερα

16. 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.

16. 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 περισσότερα

EE512: Error Control Coding

EE512: 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 περισσότερα

Finite Field Problems: Solutions

Finite 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 περισσότερα

Xiaoquan (Michael) Zhang

Xiaoquan (Michael) Zhang RESEARCH ARTICLE HO DOES THE INTERNET AFFECT THE FINANCIAL MARKET? AN EQUILIBRIUM MODEL OF INTERNET-FACILITATED FEEDBACK TRADING Xiaoquan (Michael) Zhang School of Buine and Managemen, Hong Kong Unieriy

Διαβάστε περισσότερα

I.I. Guseinov. Department of Physics, Faculty of Arts and Sciences, Onsekiz Mart University, Çanakkale, Turkey

I.I. Guseinov. Department of Physics, Faculty of Arts and Sciences, Onsekiz Mart University, Çanakkale, Turkey Epanion and one-range addiion heore for coplee orhonoral e of pinor wave funcion and Slaer pinor orbial of arbirary half-inegral pin in poiion oenu and four-dienional pace I.I. Gueinov Deparen of Phyic

Διαβάστε περισσότερα

Generalized Normal Type-2. Triangular Fuzzy Number

Generalized Normal Type-2. Triangular Fuzzy Number pped Mahemaca Scence, Vo. 7, 203, no. 45, 2239 2252 HIKRI Ld, www.m-hkar.com Generazed orma Type-2 Trangar Fzzy mber bd. Faah Wahab Deparmen of Mahemac, Facy of Scence and Technoogy, Unver Maaya Terenggan,

Διαβάστε περισσότερα

C.S. 430 Assignment 6, Sample Solutions

C.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 περισσότερα

Statistical Inference I Locally most powerful tests

Statistical 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 περισσότερα

Η ΥΠΟΓΡΑΦΗ ΕΝΟΣ ΜΟΝΟΤΟΝΟΥ ΣΥΣΤΗΜΑΤΟΣ

Η ΥΠΟΓΡΑΦΗ ΕΝΟΣ ΜΟΝΟΤΟΝΟΥ ΣΥΣΤΗΜΑΤΟΣ Ελληνικό Στατιστικό Ινστιτούτο Πρακτικά 8 ου Πανελληνίου Συνεδρίου Στατιστικής (00) σελ.373-38 Η ΥΠΟΓΡΑΦΗ ΕΝΟΣ ΜΟΝΟΤΟΝΟΥ ΣΥΣΤΗΜΑΤΟΣ Γιάννης Σ. Τριανταφύλλου, Μάρκος Β. Κούτρας Πανεπιστήμιο Πειραιώς,, Τμήμα

Διαβάστε περισσότερα

Fractional Colorings and Zykov Products of graphs

Fractional 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 περισσότερα

Example Sheet 3 Solutions

Example 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 περισσότερα

Απόκριση σε Μοναδιαία Ωστική Δύναμη (Unit Impulse) Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο. Απόστολος Σ.

Απόκριση σε Μοναδιαία Ωστική Δύναμη (Unit Impulse) Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο. Απόστολος Σ. Απόκριση σε Δυνάμεις Αυθαίρετα Μεταβαλλόμενες με το Χρόνο The time integral of a force is referred to as impulse, is determined by and is obtained from: Newton s 2 nd Law of motion states that the action

Διαβάστε περισσότερα

Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3

Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3 Lecture 2: Dirac notation and a review of linear algebra Read Sakurai chapter 1, Baym chatper 3 1 State vector space and the dual space Space of wavefunctions The space of wavefunctions is the set of all

Διαβάστε περισσότερα

Homomorphism of Intuitionistic Fuzzy Groups

Homomorphism of Intuitionistic Fuzzy Groups International Mathematical Forum, Vol. 6, 20, no. 64, 369-378 Homomorphism o Intuitionistic Fuzz Groups P. K. Sharma Department o Mathematics, D..V. College Jalandhar Cit, Punjab, India pksharma@davjalandhar.com

Διαβάστε περισσότερα

High order interpolation function for surface contact problem

High order interpolation function for surface contact problem 3 016 5 Journal of East China Normal University Natural Science No 3 May 016 : 1000-564101603-0009-1 1 1 1 00444; E- 00030 : Lagrange Lobatto Matlab : ; Lagrange; : O41 : A DOI: 103969/jissn1000-56410160300

Διαβάστε περισσότερα

Phys460.nb Solution for the t-dependent Schrodinger s equation How did we find the solution? (not required)

Phys460.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 περισσότερα

Strain gauge and rosettes

Strain 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 περισσότερα

An Introduction to Signal Detection and Estimation - Second Edition Chapter II: Selected Solutions

An Introduction to Signal Detection and Estimation - Second Edition Chapter II: Selected Solutions An Introduction to Signal Detection Estimation - Second Edition Chapter II: Selected Solutions H V Poor Princeton University March 16, 5 Exercise : The likelihood ratio is given by L(y) (y +1), y 1 a With

Διαβάστε περισσότερα

Χρονοσειρές Μάθημα 3

Χρονοσειρές 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 περισσότερα

A NOTE ON ENNOLA RELATION. Jae Moon Kim and Jado Ryu* 1. INTRODUCTION

A NOTE ON ENNOLA RELATION. Jae Moon Kim and Jado Ryu* 1. INTRODUCTION TAIWANESE JOURNAL OF MATHEMATICS Vol 8, No 5, pp 65-66, Ocober 04 DOI: 0650/m804665 Th paper avalable ole a hp://ouralawamahocorw A NOTE ON ENNOLA RELATION Jae Moo Km ad Jado Ryu* Abrac Eola ve a example

Διαβάστε περισσότερα

Almost all short intervals containing prime numbers

Almost all short intervals containing prime numbers ACTA ARITHMETICA LXXVI (6 Almos all shor inervals conaining prime nmbers by Chaoha Jia (Beijing Inrocion In 37, Cramér [] conjecred ha every inerval (n, n f(n log 2 n conains a prime for some f(n as n

Διαβάστε περισσότερα

ΕΝΑ ΔΙΑΓΡΑΜΜΑ ΕΛΕΓΧΟΥ ΓΙΑ ΤΟΝ ΕΛΕΓΧΟ ΔΙΕΡΓΑΣΙΩΝ ΥΨΗΛΗΣ ΠΟΙΟΤΗΤΑΣ ΜΕ ΙΔΙΟΤΗΤΕΣ ΤΑΧΕΙΑΣ ΑΡΧΙΚΗΣ ΑΝΤΙΔΡΑΣΗΣ

ΕΝΑ ΔΙΑΓΡΑΜΜΑ ΕΛΕΓΧΟΥ ΓΙΑ ΤΟΝ ΕΛΕΓΧΟ ΔΙΕΡΓΑΣΙΩΝ ΥΨΗΛΗΣ ΠΟΙΟΤΗΤΑΣ ΜΕ ΙΔΙΟΤΗΤΕΣ ΤΑΧΕΙΑΣ ΑΡΧΙΚΗΣ ΑΝΤΙΔΡΑΣΗΣ Ελληνικό Στατιστικό Ινστιτούτο Πρακτικά 20 ου Πανελληνίου Συνεδρίου Στατιστικής (2007), σελ 303-310 ΕΝΑ ΔΙΑΓΡΑΜΜΑ ΕΛΕΓΧΟΥ ΓΙΑ ΤΟΝ ΕΛΕΓΧΟ ΔΙΕΡΓΑΣΙΩΝ ΥΨΗΛΗΣ ΠΟΙΟΤΗΤΑΣ ΜΕ ΙΔΙΟΤΗΤΕΣ ΤΑΧΕΙΑΣ ΑΡΧΙΚΗΣ ΑΝΤΙΔΡΑΣΗΣ

Διαβάστε περισσότερα

Appendix A. Stability of the logistic semi-discrete model.

Appendix A. Stability of the logistic semi-discrete model. Ecological Archiv E89-7-A Elizava Pachpky, Rogr M. Nib, and William W. Murdoch. 8. Bwn dicr and coninuou: conumr-rourc dynamic wih ynchronizd rproducion. Ecology 89:8-88. Appndix A. Sabiliy of h logiic

Διαβάστε περισσότερα

Solutions to Exercise Sheet 5

Solutions 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 περισσότερα

Appendix. The solution begins with Eq. (2.15) from the text, which we repeat here for 1, (A.1)

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 περισσότερα

ST5224: Advanced Statistical Theory II

ST5224: 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 περισσότερα

Partial Differential Equations in Biology The boundary element method. March 26, 2013

Partial 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 περισσότερα

Exercises 10. Find a fundamental matrix of the given system of equations. Also find the fundamental matrix Φ(t) satisfying Φ(0) = I. 1.

Exercises 10. Find a fundamental matrix of the given system of equations. Also find the fundamental matrix Φ(t) satisfying Φ(0) = I. 1. Exercises 0 More exercises are available in Elementary Differential Equations. If you have a problem to solve any of them, feel free to come to office hour. Problem Find a fundamental matrix of the given

Διαβάστε περισσότερα

Levin Lin(1992) Oh(1996),Wu(1996) Papell(1997) Im, Pesaran Shin(1996) Canzoneri, Cumby Diba(1999) Lee, Pesaran Smith(1997) FGLS SUR

Levin 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 περισσότερα

Econ Spring 2004 Instructor: Prof. Kiefer Solution to Problem set # 5. γ (0)

Econ Spring 2004 Instructor: Prof. Kiefer Solution to Problem set # 5. γ (0) Cornell University Department of Economics Econ 60 - Spring 004 Instructor: Prof. Kiefer Solution to Problem set # 5. Autocorrelation function is defined as ρ h = γ h γ 0 where γ h =Cov X t,x t h =E[X

Διαβάστε περισσότερα

ON NEGATIVE MOMENTS OF CERTAIN DISCRETE DISTRIBUTIONS

ON NEGATIVE MOMENTS OF CERTAIN DISCRETE DISTRIBUTIONS Pa J Statist 2009 Vol 25(2), 135-140 ON NEGTIVE MOMENTS OF CERTIN DISCRETE DISTRIBUTIONS Masood nwar 1 and Munir hmad 2 1 Department of Maematics, COMSTS Institute of Information Technology, Islamabad,

Διαβάστε περισσότερα

Cyclic or elementary abelian Covers of K 4

Cyclic or elementary abelian Covers of K 4 Cyclic or elementary abelian Covers of K 4 Yan-Quan Feng Mathematics, Beijing Jiaotong University Beijing 100044, P.R. China Summer School, Rogla, Slovenian 2011-06 Outline 1 Question 2 Main results 3

Διαβάστε περισσότερα

Mock Exam 7. 1 Hong Kong Educational Publishing Company. Section A 1. Reference: HKDSE Math M Q2 (a) (1 + kx) n 1M + 1A = (1) =

Mock Exam 7. 1 Hong Kong Educational Publishing Company. Section A 1. Reference: HKDSE Math M Q2 (a) (1 + kx) n 1M + 1A = (1) = Mock Eam 7 Mock Eam 7 Section A. Reference: HKDSE Math M 0 Q (a) ( + k) n nn ( )( k) + nk ( ) + + nn ( ) k + nk + + + A nk... () nn ( ) k... () From (), k...() n Substituting () into (), nn ( ) n 76n 76n

Διαβάστε περισσότερα

Π Ο Λ Ι Τ Ι Κ Α Κ Α Ι Σ Τ Ρ Α Τ Ι Ω Τ Ι Κ Α Γ Ε Γ Ο Ν Ο Τ Α

Π Ο Λ Ι Τ Ι Κ Α Κ Α Ι Σ Τ Ρ Α Τ Ι Ω Τ Ι Κ Α Γ Ε Γ Ο Ν Ο Τ Α Α Ρ Χ Α Ι Α Ι Σ Τ Ο Ρ Ι Α Π Ο Λ Ι Τ Ι Κ Α Κ Α Ι Σ Τ Ρ Α Τ Ι Ω Τ Ι Κ Α Γ Ε Γ Ο Ν Ο Τ Α Σ η µ ε ί ω σ η : σ υ ν ά δ ε λ φ ο ι, ν α µ ο υ σ υ γ χ ω ρ ή σ ε τ ε τ ο γ ρ ή γ ο ρ ο κ α ι α τ η µ έ λ η τ ο ύ

Διαβάστε περισσότερα

ECE Spring Prof. David R. Jackson ECE Dept. Notes 2

ECE Spring Prof. David R. Jackson ECE Dept. Notes 2 ECE 634 Spring 6 Prof. David R. Jackson ECE Dept. Notes Fields in a Source-Free Region Example: Radiation from an aperture y PEC E t x Aperture Assume the following choice of vector potentials: A F = =

Διαβάστε περισσότερα

Ordinal Arithmetic: Addition, Multiplication, Exponentiation and Limit

Ordinal 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

4.6 Autoregressive Moving Average Model ARMA(1,1)

4.6 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 περισσότερα

5.4 The Poisson Distribution.

5.4 The Poisson Distribution. The worst thing you can do about a situation is nothing. Sr. O Shea Jackson 5.4 The Poisson Distribution. Description of the Poisson Distribution Discrete probability distribution. The random variable

Διαβάστε περισσότερα

Approximation of distance between locations on earth given by latitude and longitude

Approximation 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 περισσότερα

Section 8.3 Trigonometric Equations

Section 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 περισσότερα

The one-dimensional periodic Schrödinger equation

The one-dimensional periodic Schrödinger equation The one-dmensonal perodc Schrödnger equaon Jordan Bell jordan.bell@gmal.com Deparmen of Mahemacs, Unversy of Torono Aprl 23, 26 Translaons and convoluon For y, le τ y f(x f(x y. To say ha f : C s unformly

Διαβάστε περισσότερα

wave energy Superposition of linear plane progressive waves Marine Hydrodynamics Lecture Oblique Plane Waves:

wave energy Superposition of linear plane progressive waves Marine Hydrodynamics Lecture Oblique Plane Waves: 3.0 Marine Hydrodynamics, Fall 004 Lecture 0 Copyriht c 004 MIT - Department of Ocean Enineerin, All rihts reserved. 3.0 - Marine Hydrodynamics Lecture 0 Free-surface waves: wave enery linear superposition,

Διαβάστε περισσότερα

Homework 8 Model Solution Section

Homework 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 περισσότερα

The Probabilistic Method - Probabilistic Techniques. Lecture 7: The Janson Inequality

The Probabilistic Method - Probabilistic Techniques. Lecture 7: The Janson Inequality The Probabilistic Method - Probabilistic Techniques Lecture 7: The Janson Inequality Sotiris Nikoletseas Associate Professor Computer Engineering and Informatics Department 2014-2015 Sotiris Nikoletseas,

Διαβάστε περισσότερα

Apr Vol.26 No.2. Pure and Applied Mathematics O157.5 A (2010) (d(u)d(v)) α, 1, (1969-),,.

Apr Vol.26 No.2. Pure and Applied Mathematics O157.5 A (2010) (d(u)d(v)) α, 1, (1969-),,. 2010 4 26 2 Pure and Applied Matheatics Apr. 2010 Vol.26 No.2 Randić 1, 2 (1., 352100; 2., 361005) G Randić 0 R α (G) = v V (G) d(v)α, d(v) G v,α. R α,, R α. ; Randić ; O157.5 A 1008-5513(2010)02-0339-06

Διαβάστε περισσότερα

Math221: HW# 1 solutions

Math221: 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 περισσότερα

Retrieval of Seismic Data Recorded on Open-reel-type Magnetic Tapes (MT) by Using Existing Devices

Retrieval of Seismic Data Recorded on Open-reel-type Magnetic Tapes (MT) by Using Existing Devices No. 3 + 1,**- Technical Research Report, Earthquake Research Institute, University of Tokyo, No. 3, pp. + 1,,**-. MT * ** *** Retrieval of Seismic Data Recorded on Open-reel-type Magnetic Tapes (MT) by

Διαβάστε περισσότερα

Other Test Constructions: Likelihood Ratio & Bayes Tests

Other Test Constructions: Likelihood Ratio & Bayes Tests Other Test Constructions: Likelihood Ratio & Bayes Tests Side-Note: So far we have seen a few approaches for creating tests such as Neyman-Pearson Lemma ( most powerful tests of H 0 : θ = θ 0 vs H 1 :

Διαβάστε περισσότερα

ω = radians per sec, t = 3 sec

ω = 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 περισσότερα

ECON 381 SC ASSIGNMENT 2

ECON 381 SC ASSIGNMENT 2 ECON 8 SC ASSIGNMENT 2 JOHN HILLAS UNIVERSITY OF AUCKLAND Problem Consider a consmer with wealth w who consmes two goods which we shall call goods and 2 Let the amont of good l that the consmer consmes

Διαβάστε περισσότερα

Homework 3 Solutions

Homework 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 περισσότερα

Solution Series 9. i=1 x i and i=1 x i.

Solution 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 περισσότερα

Partial Trace and Partial Transpose

Partial Trace and Partial Transpose Partial Trace and Partial Transpose by José Luis Gómez-Muñoz http://homepage.cem.itesm.mx/lgomez/quantum/ jose.luis.gomez@itesm.mx This document is based on suggestions by Anirban Das Introduction This

Διαβάστε περισσότερα

Determination of Optimal Supply When Demand Is a Sum of Components

Determination of Optimal Supply When Demand Is a Sum of Components Mathematical Modelling and Application 7; (6: 68-74 http://www.ciencepublihinggroup.com/j/mma doi:.648/j.mma.76.3 ISSN: 575-786 (Print; ISSN: 575-794 (Online Determination of Optimal Supply When Demand

Διαβάστε περισσότερα

Second Order Partial Differential Equations

Second Order Partial Differential Equations Chapter 7 Second Order Partial Differential Equations 7.1 Introduction A second order linear PDE in two independent variables (x, y Ω can be written as A(x, y u x + B(x, y u xy + C(x, y u u u + D(x, y

Διαβάστε περισσότερα

ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 6/5/2006

ΚΥΠΡΙΑΚΗ ΕΤΑΙΡΕΙΑ ΠΛΗΡΟΦΟΡΙΚΗΣ CYPRUS COMPUTER SOCIETY ΠΑΓΚΥΠΡΙΟΣ ΜΑΘΗΤΙΚΟΣ ΔΙΑΓΩΝΙΣΜΟΣ ΠΛΗΡΟΦΟΡΙΚΗΣ 6/5/2006 Οδηγίες: Να απαντηθούν όλες οι ερωτήσεις. Ολοι οι αριθμοί που αναφέρονται σε όλα τα ερωτήματα είναι μικρότεροι το 1000 εκτός αν ορίζεται διαφορετικά στη διατύπωση του προβλήματος. Διάρκεια: 3,5 ώρες Καλή

Διαβάστε περισσότερα

Analysis of optimal harvesting of a prey-predator fishery model with the limited sources of prey and presence of toxicity

Analysis 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 περισσότερα

Οι αδελφοί Montgolfier: Ψηφιακή αφήγηση The Montgolfier Βrothers Digital Story (προτείνεται να διδαχθεί στο Unit 4, Lesson 3, Αγγλικά Στ Δημοτικού)

Οι αδελφοί Montgolfier: Ψηφιακή αφήγηση The Montgolfier Βrothers Digital Story (προτείνεται να διδαχθεί στο Unit 4, Lesson 3, Αγγλικά Στ Δημοτικού) Οι αδελφοί Montgolfier: Ψηφιακή αφήγηση The Montgolfier Βrothers Digital Story (προτείνεται να διδαχθεί στο Unit 4, Lesson 3, Αγγλικά Στ Δημοτικού) Προσδοκώμενα αποτελέσματα Περιεχόμενο Ενδεικτικές δραστηριότητες

Διαβάστε περισσότερα

Multi-dimensional Central Limit Theorem

Multi-dimensional Central Limit Theorem Mult-dmensonal Central Lmt heorem Outlne () () () t as () + () + + () () () Consder a sequence of ndependent random proceses t, t, dentcal to some ( t). Assume t 0. Defne the sum process t t t t () t tme

Διαβάστε περισσότερα

Galatia SIL Keyboard Information

Galatia SIL Keyboard Information Galatia SIL Keyboard Information Keyboard ssignments The main purpose of the keyboards is to provide a wide range of keying options, so many characters can be entered in multiple ways. If you are typing

Διαβάστε περισσότερα

Errata (Includes critical corrections only for the 1 st & 2 nd reprint)

Errata (Includes critical corrections only for the 1 st & 2 nd reprint) Wedesday, May 5, 3 Erraa (Icludes criical correcios oly for he s & d repri) Advaced Egieerig Mahemaics, 7e Peer V O eil ISB: 978474 Page # Descripio 38 ie 4: chage "w v a v " "w v a v " 46 ie : chage "y

Διαβάστε περισσότερα

2. THEORY OF EQUATIONS. PREVIOUS EAMCET Bits.

2. 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 περισσότερα

Multi-dimensional Central Limit Theorem

Multi-dimensional Central Limit Theorem Mult-dmensonal Central Lmt heorem Outlne () () () t as () + () + + () () () Consder a sequence of ndependent random proceses t, t, dentcal to some ( t). Assume t 0. Defne the sum process t t t t () t ();

Διαβάστε περισσότερα

Numerical Analysis FMN011

Numerical Analysis FMN011 Numerical Analysis FMN011 Carmen Arévalo Lund University carmen@maths.lth.se Lecture 12 Periodic data A function g has period P if g(x + P ) = g(x) Model: Trigonometric polynomial of order M T M (x) =

Διαβάστε περισσότερα

RG Tutorial xlc3.doc 1/10. To apply the R-G method, the differential equation must be represented in the form:

RG Tutorial xlc3.doc 1/10. To apply the R-G method, the differential equation must be represented in the form: G Tuorial xlc3.oc / iear roblem i e C i e C ( ie ( Differeial equaio for C (3 Thi fir orer iffereial equaio ca eaily be ole bu he uroe of hi uorial i o how how o ue he iz-galerki meho o fi ou he oluio.

Διαβάστε περισσότερα

The Negative Neumann Eigenvalues of Second Order Differential Equation with Two Turning Points

The Negative Neumann Eigenvalues of Second Order Differential Equation with Two Turning Points Applied Mathematical Sciences, Vol. 3, 009, no., 6-66 The Negative Neumann Eigenvalues of Second Order Differential Equation with Two Turning Points A. Neamaty and E. A. Sazgar Department of Mathematics,

Διαβάστε περισσότερα

Econ 2110: Fall 2008 Suggested Solutions to Problem Set 8 questions or comments to Dan Fetter 1

Econ 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 περισσότερα

Coefficient Inequalities for a New Subclass of K-uniformly Convex Functions

Coefficient Inequalities for a New Subclass of K-uniformly Convex Functions International Journal of Computational Science and Mathematics. ISSN 0974-89 Volume, Number (00), pp. 67--75 International Research Publication House http://www.irphouse.com Coefficient Inequalities for

Διαβάστε περισσότερα

Nov Journal of Zhengzhou University Engineering Science Vol. 36 No FCM. A doi /j. issn

Nov Journal of Zhengzhou University Engineering Science Vol. 36 No FCM. A doi /j. issn 2015 11 Nov 2015 36 6 Journal of Zhengzhou University Engineering Science Vol 36 No 6 1671-6833 2015 06-0056 - 05 C 1 1 2 2 1 450001 2 461000 C FCM FCM MIA MDC MDC MIA I FCM c FCM m FCM C TP18 A doi 10

Διαβάστε περισσότερα

9.1 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 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 περισσότερα

UNIVERSITY OF CAMBRIDGE INTERNATIONAL EXAMINATIONS International General Certificate of Secondary Education

UNIVERSITY OF CAMBRIDGE INTERNATIONAL EXAMINATIONS International General Certificate of Secondary Education UNIVERSITY OF CAMBRIDGE INTERNATIONAL EXAMINATIONS International General Certificate of Secondary Education *2517291414* GREEK 0543/02 Paper 2 Reading and Directed Writing May/June 2013 1 hour 30 minutes

Διαβάστε περισσότερα

Global energy use: Decoupling or convergence?

Global energy use: Decoupling or convergence? Crawford School of Public Policy Centre for Climate Economics & Policy Global energy use: Decoupling or convergence? CCEP Working Paper 1419 December 2014 Zsuzsanna Csereklyei Geschwister Scholl Institute

Διαβάστε περισσότερα

A research on the influence of dummy activity on float in an AOA network and its amendments

A research on the influence of dummy activity on float in an AOA network and its amendments 2008 6 6 :100026788 (2008) 0620106209,, (, 102206) : NP2hard,,..,.,,.,.,. :,,,, : TB11411 : A A research on the influence of dummy activity on float in an AOA network and its amendments WANG Qiang, LI

Διαβάστε περισσότερα

Pricing Asian option under mixed jump-fraction process

Pricing Asian option under mixed jump-fraction process 3 17 ( ) Journal of Eas China Normal Universiy (Naural Science) No. 3 May 17 : 1-641(17)3-9-1 - ( 18) : -. Iô.... : -; ; : O11.6 : A DOI: 1.3969/j.issn.1-641.17.3.3 Pricing Asian opion under mixed jump-fracion

Διαβάστε περισσότερα

IMES DISCUSSION PAPER SERIES

IMES DISCUSSION PAPER SERIES IMES DISCUSSION PAPER SERIES Will a Growth Miracle Reduce Debt in Japan? Selahattin mrohorolu and Nao Sudo Discussion Paper No. 2011-E-1 INSTITUTE FOR MONETARY AND ECONOMIC STUDIES BANK OF JAPAN 2-1-1

Διαβάστε περισσότερα

CHAPTER 25 SOLVING EQUATIONS BY ITERATIVE METHODS

CHAPTER 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 περισσότερα

P AND P. P : actual probability. P : risk neutral probability. Realtionship: mutual absolute continuity P P. For example:

P AND P. P : actual probability. P : risk neutral probability. Realtionship: mutual absolute continuity P P. For example: (B t, S (t) t P AND P,..., S (p) t ): securities P : actual probability P : risk neutral probability Realtionship: mutual absolute continuity P P For example: P : ds t = µ t S t dt + σ t S t dw t P : ds

Διαβάστε περισσότερα

J. of Math. (PRC) Banach, , X = N(T ) R(T + ), Y = R(T ) N(T + ). Vol. 37 ( 2017 ) No. 5

J. of Math. (PRC) Banach, , X = N(T ) R(T + ), Y = R(T ) N(T + ). Vol. 37 ( 2017 ) No. 5 Vol. 37 ( 2017 ) No. 5 J. of Math. (PRC) 1,2, 1, 1 (1., 225002) (2., 225009) :. I +AT +, T + = T + (I +AT + ) 1, T +. Banach Hilbert Moore-Penrose.. : ; ; Moore-Penrose ; ; MR(2010) : 47L05; 46A32 : O177.2

Διαβάστε περισσότερα