Explicit Representation of Green s Function for Linear Fractional. Differential Operator with Variable Coefficients

Size: px
Start display at page:

Download "Explicit Representation of Green s Function for Linear Fractional. Differential Operator with Variable Coefficients"

Transcription

1 KSU-MH--E-R-: Verso 3 Epc Represeo of Gree s uco for er rco ffere Operor w Vrbe Coeffces Mog-H K d Hog-Co O cu of Mecs K Sug Uvers Pogg P R Kore Correspodg uor e-: oogco@ooco bsrc We provde epc represeos of Gree s fucos for geer er frco dffere operors w vrbe coeffces d Re - ouves dervves We ssue er coeffces re couous Usg e epc represeos for Gree s fuco we ob epc represeos for souo of o-oogeeous frco dffere equo w vrbe coeffces of geer pe erefore e eod of Gree s fuco wc ws deveoped prevous reserc for souo of frco dffere equo w cos coeffces s eeded o e cse of frco dffere equos w vrbe coeffces Kewords: frco dffere operor frco Gree s fuco o-oogeeous frco dffere equos vrbe coeffce Mecs Subec Cssfco: roduco sees e cocep of frco Gree s fucos for frco dffere operors ve bee roduced b SMesov 6 for e frs e 974 o represe e souos of o-oogeeous frco dffere equo w cos coeffces d sge er s cocep s oe s eeded fro e cocep of Gree s fuco for ordr dffere operor w ur uber order gve b MNr 969 o frco re uber order fer frco Gree s fuco ve bee suded b S Mesov 974 uors ve derved epc represeo for Gree s fucos of er frco dffere operors w cos coeffces W e ep of Gree fuco d soe spec fucos suc s Mg-effer fuco 993 Mer d Ross 7 obed e epc represeos of souos of soe csses of oogeeous er

2 K Mog-H d O Hog-Co frco dffere equos Es 994 Podub derved epc represeo for Gree s fuco of rbrr er frco dffere operor w cos coeffces b usg pce rsfor Hu Y 3 8 provded represeo foru of Gree s fuco for e bove eoed frco dffere operors w cos coeffces b do decoposo eod o pp o represeos of e o-oogeeous frco dffere equos Mor d So 8 gve represeo foru of Gree`s fucos for vue probe of frco dffere operors w cos coeffces b e Neu seres Bo d Jusog provde epc represeo for souo of sse frco dffere equos w cos r coeffces d sge er X Hug e 3 provded epc represeo of Gree s fuco for frco dffere operor w cos coeffces Kbs e 4 preseed eod of sovg frco dffere equos w vrbe coeffces e egborood of ordr po b power seres eod ro e surzg bove we c s sever uors provded epc represeo foru of Gree s fuco for frco dffere operors w cos coeffces bu we coud fd ou e resus o rbrr er frco dffere operors w vrbe coeffces s pper we derved epc represeo foru of Gree s fuco for rbrr er frco dffere operors w couous coeffces d Re - ouve frco dervves d pped o ge souo represeo of oogeeous frco dffere equo erefore e eod of Gree s fuco wc ws deveoped for souo of frco dffere equo w cos coeffces prevous reserc s eeded o e cse of frco dffere equos w vrbe coeffces efos d Preres efo 5 or re uber d N we defe s foows: C : { f : R : f C } ; C : C efo 5 e f C e Re-ouve ef-sde frco egr f of order w org e po s defed b f f d provded e egr ess Here s e G fuco d s ced egr

3 Represeo of Gree s uco for er rco ffere Operor w Vrbe Coeffces operor of order efo 3 5 e N d f C e R-ouve frco dervve f of order w org e po s defed b d f f f d d d s ced e frco dffere operor of order efo 4 5 or fuco N we deoe b C b e spce of cope-vued s dervve o b e e fuco f w bsoue couous f for wc ere ess os everwere fuco g b suc f f g d s cse we c g e geerzed - dervve of f d sp wre g f prcur we deoe C b C b e we c wre s foows: d C b f : b C : f C b 3 d Here C s e se of cope ubers e 5 e spce C b cosss of ose d o ose fucos f wc c be represeed e for f C 4 were b C re rbrr coss d d e 5 e N { } d R e spce C b cosss of ose d o ose fucos f wc re represeed e for f d C 5 were b d C re rbrr coss C efo 5 4 e p e spce of fucos re defed b p p p : { f : f b} : 6 3

4 K Mog-H d O Hog-Co e 3 5 e d f : f be e frco egr of order f p p d f e we ve f f 7 b f f d f C b e e foowg ods os everwere o b b f f f or ore de sees of coceps d properes of frco ccuus see c Represeo of Gree s uco e s cosder e vue probe VP for frco dffere equos E gve b 3 3 were : C d s e Re-ouve ef-sded frco dffere operor w e org ; N efo 3 e fuco G ssfes e foowg codos d s ced Gree s fuco for frco dffere operor or VP 3 3: G 33 G 34 were s e Re-ouve ef-sded frco dffere operor w org d s e preer o sud Gree s fuco ow we cosder VP of E 35 d s correspodg egr equo 36 4

5 Represeo of Gree s uco for er rco ffere Operor w Vrbe Coeffces were d efo 3 or we deoe b oc e se of fucos f wc frco dervve f s oc egrbe e erv : : { f : f } 39 oc We eed foowg prer es e 3 e ssfes e o e reos 35 d 36 f oc d o f ssfes e o e egr equo 37 Proof rs we prove e ecess e ssf e o e oc reos 35 d 36 We rewre 35 e for e 3 Sce e d e reo 3 es oc oc e reos 8 d 36 gve e foowg oc e o 3 ppg e operor o bo sde of 3 d usg 36 we ob e equo 37 d ece e ecess s proved Now we w prove e suffcec e ssfes 37 e o oc or ppg e operor o bo sdes of 37 we ve Obvous

6 K Mog-H d O Hog-Co 6 Sce oc we ve 34 Usg d 3 we ob 36 s cer 35 ppg e operor o bo sdes of 37 d usg 7 d 35 we ob e equo 35 d ece e suffcec s proved erefore we esbsed e equvece of e VP of E d e egr equo 37 Now we fd for represeo of souo of e egr equo 37 usg e eod of successve pproos e foru of successve pproos for souo of e egr equo 37 s foowg: 36 Sce s evde oc rs pproe souo s obed b e foowg: 37 ro 37 s evde oc Secod pproe souo s obed b } { 38 Here deoes es coposo of operor d u

7 Represeo of Gree s uco for er rco ffere Operor w Vrbe Coeffces 7 operor e cse Cosderg oc C d 38 we ve oc oc 39 Ccug b e duco we ob oc 3 or g s e bo sde of 3 e foowg seres s obed: oc 3 eore 3 f C e VP of E s uque souo e spce oc d s souo s represeed e for of 3: 3 Proof ppg operor o ever er of rg sde of e seres 3 we ob e seres 33 Now e us prove s seres coverge spce for rbrr fed e Usg uo-epdg d se-group properes of frco egr for 33 we derve e ese d d d

8 K Mog-H d O Hog-Co 8 d E 34 Here Z d E s vue z z of e so-ced uvre Mg-effer fuco z z E see 97 5 B e eod of upper-seres es seres 33 coverges e spce e deoe su of e seres 33 b : 35 e of 3 c be rewre s foows 36 Sce for e oc ppg e operor o bo sdes of 36 for we ve 37 Sce oc we ve 38 B d 37 e reo 36 s obed: Ne we prove of 3 s ssfed equo 35 ro 3 36 we ve 39 or we ve

9 Represeo of Gree s uco for er rco ffere Operor w Vrbe Coeffces 9 Hece 33 ro 39 d 33 we ob us of 3 ssfes e equo 35 B coror 36 of 5 we ob e uqueess resu for e VP s copees e proof of eore 3 Coror 3 e cos e e souo oc of e VP s represeed b K 33 Proof Seg cos e souo represeo 3 of VP d use e se-group properes of frco egr d u-er s epdg e e dscusso sr w e dervo of 34 gves 33 Rer 3 e represeo of 33 s cocded w uvre Mg - effer fuco E See 97 of 5 Noe uvre Mg-effer fuco ws roduced org b Y uco Rer 3 e souos 3 d 33 of VP oug re seres epresso d gve gor for ccuo of e souo drec Coror 3 e cos e e souo oc of e VP s represeed b Mg-effer fuco of wo preers s foows: E 33 Proof e for u de 33 e sce

10 K Mog-H d O Hog-Co we c rewre 33 s e foowg: K Sce we c wre s foowg: Here sce z z E we ob E us we ob 33 Rer represeed b 33 or 3 s ced Gree s fuco of VP 3-3 cse of cos coeffces eore 3 f C e ere ess uque Gree s fuco G of frco dffere operor souo of VP e spce oc d s represeed s foows: G 333 prcur f cos d e we ve G

11 Represeo of Gree s uco for er rco ffere Operor w Vrbe Coeffces Here s oegve eger d Proof e proof of eore 3 s sr o of eore 3 Usg Gree s fucos we c ob represeo of souos o o-oogeeous VP e foowg eore ods eore 33 e C e ere ess uque souo See defo 5 of VP 3-3 d s represeed s foows : G d were G s Gree s fuco of VP 3-3 oc d 334 Proof Usg e defo of frco egr d ub s eore we frs prove e equ 334 e sr w eore 3 we subsue 334 o e VP 3-3 e we c prove s e souo of Epes e cosder e frco dffere operor s cse B 333 s Gree fuco s s foows: G f we subsue 4 d 4 o 33 d 34 e we c ow e G τ s e Gree fuco of 4 Now we ccue soe ers of 4 e er 5 5 d of e seres we = usg cge of vrbe s 5 e erv of egr τ s cged o : d 5 3 Sce d / / we ve s 5 5 s ds s s ds / / 5 d d 5

12 K Mog-H d O Hog-Co usg e sr eod we c ccue us we ve e seres represeo of Gree fuco 5 5 G Now usg e foru 334 e sove e foowg VP: B eore 33 s probe s uque souo 5 s cse 3 8 / 5 5 erefore usg 334 we ve oc d f we ccue we ve e seres represeo of e VP 44 d 45: Cocusos s pper we preseed epc represeo foru for e Gree s fuco of e geer er frco dffere operor w couous vrbe coeffces e eg of Re-ouve d sowed s resu s cosse w prevous resus e cse w cos coeffces e represeo foru of e Gree s fuco for er frco dffere operor w couous vrbe coeffces w be used s powerfu oo o sove e Cpuo frco dffere equos s we s Re-ouve frco equos cowedgee: uors woud e o oous revewers ep d dvce Refereces Bo B Rvero M d ruo JJ O sses er frco dffere equos w cos coeffces pped Mecs d Copuo O: 6/c684 Hfer Ruco Y d oovs Z Opero eod for e souo of frco

13 Represeo of Gree s uco for er rco ffere Operor w Vrbe Coeffces dffere equos w geerzed Re-ouve frco dervves rc Cc pp Cross-ref 3 Hu Y uo Y u Z c Souo of e er frco dffere equo b do decoposo eod J Copu pp M Vo 5 ssue 5 M 8 9 cross-ref 4 Kbs Rvero MRodrgez-Ger ruo JJ -c souos o soe er frco dffere equos w vrbe coeffces pp M d Copu cross-ref 5 Kbs Srvsv HM d ruo J J eor d ppcos of rco ffere Equos Esever serd-oo 6 6 Mesov S Vscoesc Properes of es Meurg Moscow Mer KS d Ross B roduco o e rco Ccuus d rco ffere Equos We d Sos New Yor Mor d So K Neu-Seres Souo of rco ffere Equo erdscpr foro Sceces Vo6 No 7-37 O: 436/s7 9 Mor d So K Souo of rco ffere Equo ers of srbuo eor erdscpr foro Sceces Vo 6 No 7-83 O: 436/s67 Nr M er ffere Operors N Moscow 969 Podub rco ffere Equos cdec Press S ego 999 Podub e pce rsfor Meod for er ffere Equos of e rco order s Ep Ps Sov cd Sc No UE Kosce -3 cross-ref 3 Hug X u X e use of frco B-spes wvees Mu-ers frco ordr ffere Equos ero Jour of ffere Equos Voue rce p O:55// So SG Kbs Mrcev O rco egrs d ervves: eor d ppcos New Yor d odo Gordo d Brec Scece Pubsers 993 3

Representation of Solutions of Linear Homogeneous Caputo Fractional Differential Equations with Continuous Variable Coefficients

Representation of Solutions of Linear Homogeneous Caputo Fractional Differential Equations with Continuous Variable Coefficients Repor Nuber: KSU MATH 3 E R 6 Represeo o Souos o Ler Hoogeeous puo Fro ere Equos w ouous Vrbe oees Su-Ae PAK Mog-H KM d Hog-o O * Fu o Mes K Sug Uvers Pogg P R Kore * orrespodg uor e: oogo@ooo Absr We

More information

4. Runge-Kutta Formula For Differential Equations

4. Runge-Kutta Formula For Differential Equations NCTU Deprme o Elecrcl d Compuer Egeerg 5 Sprg Course by Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos To solve e derel equos umerclly e mos useul ormul s clled Ruge-Ku ormul

More information

4. Runge-Kutta Formula For Differential Equations. A. Euler Formula B. Runge-Kutta Formula C. An Example for Fourth-Order Runge-Kutta Formula

4. Runge-Kutta Formula For Differential Equations. A. Euler Formula B. Runge-Kutta Formula C. An Example for Fourth-Order Runge-Kutta Formula NCTU Deprme o Elecrcl d Compuer Egeerg Seor Course By Pro. Yo-Pg Ce. Ruge-Ku Formul For Derel Equos A. Euler Formul B. Ruge-Ku Formul C. A Emple or Four-Order Ruge-Ku Formul

More information

Integral Equations and their Relationship to Differential Equations with Initial Conditions

Integral Equations and their Relationship to Differential Equations with Initial Conditions Scece Refleco SR Vol 6 wwwscecereflecocom Geerl Leers Mhemcs GLM 6 3-3 Geerl Leers Mhemcs GLM Wese: hp://wwwscecereflecocom/geerl-leers--mhemcs/ Geerl Leers Mhemcs Scece Refleco Iegrl Equos d her Reloshp

More information

Laplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as.

Laplace Transform. Definition of Laplace Transform: f(t) that satisfies The Laplace transform of f(t) is defined as. Lplce Trfor The Lplce Trfor oe of he hecl ool for olvg ordry ler dfferel equo. - The hoogeeou equo d he prculr Iegrl re olved oe opero. - The Lplce rfor cover he ODE o lgerc eq. σ j ple do. I he pole o

More information

4.1 Schrödinger Equation in Spherical Coordinates

4.1 Schrödinger Equation in Spherical Coordinates Phs 34 Quu Mehs D 9 9 Mo./ Wed./ Thus /3 F./4 Mo., /7 Tues. / Wed., /9 F., /3 4.. -. Shodge Sphe: Sepo & gu (Q9.) 4..-.3 Shodge Sphe: gu & d(q9.) Copuo: Sphe Shodge s 4. Hdoge o (Q9.) 4.3 gu Moeu 4.4.-.

More information

Cauchy type problems of linear Riemann-Liouville fractional differential equations with variable coefficients

Cauchy type problems of linear Riemann-Liouville fractional differential equations with variable coefficients Cuch tpe proes of er Re-ouve frcto dfferet equtos wth vre coeffcets Mo-H K u-cho R u-so Choe Ho Cho O* Fcut of thetcs K Su Uverst Po PRK Correspod uthor E: ro@hooco Astrct: The estece of soutos to Cuch

More information

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005.

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005. Techc Appedx fo Iveoy geme fo Assemy Sysem wh Poduc o Compoe eus ecox d Zp geme Scece 2005 Lemm µ µ s c Poof If J d µ > µ he ˆ 0 µ µ µ µ µ µ µ µ Sm gumes essh he esu f µ ˆ > µ > µ > µ o K ˆ If J he so

More information

Numerical Methods using the Successive Approximations for the Solution of a Fredholm Integral Equation

Numerical Methods using the Successive Approximations for the Solution of a Fredholm Integral Equation ece Advce Appled d eorecl ec uercl eod u e Succeve Approo or e Soluo o Fredol Ierl Equo AIA OBIŢOIU epre o ec d opuer Scece Uvery o Peroş Uvery Sree 6 Peroş OAIA rdorou@yoo.co Arc: pper pree wo eod or

More information

An Improvement on Disc Separation of the Schur Complement and Bounds for Determinants of Diagonally Dominant Matrices

An Improvement on Disc Separation of the Schur Complement and Bounds for Determinants of Diagonally Dominant Matrices ISSN 746-7659, Egd, UK Jor of Iformo d Compg See Vo. 5, No. 3, 2, pp. 224-232 A Improveme o Ds Sepro of he Shr Compeme d Bods for Deerms of Dgoy Dom Mres Zhohog Hg, Tgzh Hg Shoo of Mhem Sees, Uversy of

More information

Asymptotic Behavior of Solutions of Nonlinear Delay Differential Equations With Impulse

Asymptotic Behavior of Solutions of Nonlinear Delay Differential Equations With Impulse P a g e Vol Issue7Ver,oveber Global Joural of Scece Froer Research Asypoc Behavor of Soluos of olear Delay Dffereal Equaos Wh Ipulse Zhag xog GJSFR Classfcao - F FOR 3 Absrac Ths paper sudes he asypoc

More information

Non-Equidistant Multi-Variable Optimum Model with Fractional Order Accumulation Based on Vector Continued Fractions Theory and its Application

Non-Equidistant Multi-Variable Optimum Model with Fractional Order Accumulation Based on Vector Continued Fractions Theory and its Application QIYUN IU NON-EQUIDISN MUI-VRIE OPIMUM MODE WIH FRCION ORDER... No-Equds Mu-V Ou Mod w Fco Od ccuuo sd o Vco Coud Fcos o d s co Qu IU * D YU. S oo o dcd Dsg d Mucu o Vc od Hu Us Cgs Hu 8 C. Cog o Mcc Egg

More information

The Linear Regression Of Weighted Segments

The Linear Regression Of Weighted Segments The Lear Regresso Of Weghed Segmes George Dael Maeescu Absrac. We proposed a regresso model where he depede varable s made o up of pos bu segmes. Ths suao correspods o he markes hroughou he da are observed

More information

ONE APPROACH FOR THE OPTIMIZATION OF ESTIMATES CALCULATING ALGORITHMS A.A. Dokukin

ONE APPROACH FOR THE OPTIMIZATION OF ESTIMATES CALCULATING ALGORITHMS A.A. Dokukin Iero Jor "Iforo Theore & co" Vo 463 ONE PPROH FOR THE OPTIIZTION OF ETITE UTING GORITH Do rc: I h rce he ew roch for ozo of eo ccg gorh ggeed I c e ed for fdg he correc gorh of coexy he coex of gerc roch

More information

Differential Equation of Eigenvalues for Sturm Liouville Boundary Value Problem with Neumann Boundary Conditions

Differential Equation of Eigenvalues for Sturm Liouville Boundary Value Problem with Neumann Boundary Conditions Ierol Reserc Jorl o Aled d Bsc Sceces 3 Avlle ole www.rjs.co ISSN 5-838X / Vol 4 : 997-33 Scece Exlorer Plcos Derel Eqo o Eevles or Sr Lovlle Bodry Vle Prole w Ne Bodry Codos Al Kll Gold Dere o Mecs Azr

More information

NONLINEAR SYSTEM OF SINGULAR PARTIAL DIFFERENTIAL EQUATIONS

NONLINEAR SYSTEM OF SINGULAR PARTIAL DIFFERENTIAL EQUATIONS Jourl of Mhemcl Sceces: dvces d pplcos Volume 43, 27, Pges 3-53 vlble hp://scefcdvces.co. DOI: hp://d.do.org/.8642/ms_72748 OLIER SYSTEM OF SIGULR PRTIL DIFFERETIL EQUTIOS PTRICE POGÉRRD Mhemcs Lborory

More information

(1) Cov(, ) E[( E( ))( E( ))]

(1) Cov(, ) E[( E( ))( E( ))] Impac of Auocorrelao o OLS Esmaes ECON 3033/Evas Cosder a smple bvarae me-seres model of he form: y 0 x The four key assumpos abou ε hs model are ) E(ε ) = E[ε x ]=0 ) Var(ε ) =Var(ε x ) = ) Cov(ε, ε )

More information

Modeling and Predicting Sequences: HMM and (may be) CRF. Amr Ahmed Feb 25

Modeling and Predicting Sequences: HMM and (may be) CRF. Amr Ahmed Feb 25 Modelg d redcg Sequeces: HMM d m be CRF Amr Ahmed 070 Feb 25 Bg cure redcg Sgle Lbel Ipu : A se of feures: - Bg of words docume - Oupu : Clss lbel - Topc of he docume - redcg Sequece of Lbels Noo Noe:

More information

Conquering kings their titles take ANTHEM FOR CONGREGATION AND CHOIR

Conquering kings their titles take ANTHEM FOR CONGREGATION AND CHOIR Coquerg gs her es e NTHEM FOR CONGREGTION ND CHOIR I oucg hs hm-hem, whch m be cuded Servce eher s Hm or s hem, he Cogrego m be referred o he No. of he Hm whch he words pper, d ved o o sgg he 1 s, 4 h,

More information

Solution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations

Solution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations Joural of aheacs ad copuer Scece (4 39-38 Soluo of Ipulsve Dffereal Equaos wh Boudary Codos Ters of Iegral Equaos Arcle hsory: Receved Ocober 3 Acceped February 4 Avalable ole July 4 ohse Rabba Depare

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

ON THE EXTENSION OF WEAK ARMENDARIZ RINGS RELATIVE TO A MONOID

ON THE EXTENSION OF WEAK ARMENDARIZ RINGS RELATIVE TO A MONOID wwweo/voue/vo9iue/ijas_9 9f ON THE EXTENSION OF WEAK AENDAIZ INGS ELATIVE TO A ONOID Eye A & Ayou Eoy Dee of e Nowe No Uvey Lzou 77 C Dee of e Uvey of Kou Ou Su E-: eye76@o; you975@yooo ABSTACT Fo oo we

More information

Least Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters

Least Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters Leas Squares Fg LSQF wh a complcaed fuco Theeampleswehavelookedasofarhavebeelearheparameers ha we have bee rg o deerme e.g. slope, ercep. For he case where he fuco s lear he parameers we ca fd a aalc soluo

More information

Lecture 3 summary. C4 Lecture 3 - Jim Libby 1

Lecture 3 summary. C4 Lecture 3 - Jim Libby 1 Lecue su Fes of efeece Ivce ude sfoos oo of H wve fuco: d-fucos Eple: e e - µ µ - Agul oeu s oo geeo Eule gles Geec slos cosevo lws d Noehe s heoe C4 Lecue - Lbb Fes of efeece Cosde fe of efeece O whch

More information

P a g e 3 6 of R e p o r t P B 4 / 0 9

P a g e 3 6 of R e p o r t P B 4 / 0 9 P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J

More information

Calculation of Effective Resonance Integrals

Calculation of Effective Resonance Integrals Clculo of ffecve Resoce egrls S.B. Borzkov FLNP JNR Du Russ Clculo of e effecve oce egrl wc cludes e rel eerg deedece of euro flux des d correco o e euro cure e smle s eeded for ccure flux deermo d euro

More information

A Second Kind Chebyshev Polynomial Approach for the Wave Equation Subject to an Integral Conservation Condition

A Second Kind Chebyshev Polynomial Approach for the Wave Equation Subject to an Integral Conservation Condition SSN 76-7659 Eglad K Joural of forao ad Copug Scece Vol 7 No 3 pp 63-7 A Secod Kd Chebyshev olyoal Approach for he Wave Equao Subec o a egral Coservao Codo Soayeh Nea ad Yadollah rdokha Depare of aheacs

More information

Density estimation III.

Density estimation III. Lecure 4 esy esmao III. Mlos Hauskrec mlos@cs..edu 539 Seo Square Oule Oule: esy esmao: Mamum lkelood ML Bayesa arameer esmaes MP Beroull dsrbuo. Bomal dsrbuo Mulomal dsrbuo Normal dsrbuo Eoeal famly Eoeal

More information

The ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3.

The ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3. C. Trael me cures for mulple reflecors The ray pahs ad rael mes for mulple layers ca be compued usg ray-racg, as demosraed Lab. MATLAB scrp reflec_layers_.m performs smple ray racg. (m) ref(ms) ref(ms)

More information

Key words: Fractional difference equation, oscillatory solutions,

Key words: Fractional difference equation, oscillatory solutions, OSCILLATION PROPERTIES OF SOLUTIONS OF FRACTIONAL DIFFERENCE EQUATIONS Musafa BAYRAM * ad Ayd SECER * Deparme of Compuer Egeerg, Isabul Gelsm Uversy Deparme of Mahemacal Egeerg, Yldz Techcal Uversy * Correspodg

More information

Observations on the transcendental Equation

Observations on the transcendental Equation IOSR Jourl o Mecs IOSR-JM e-issn: 78-78-ISSN: 9-7 Volue 7 Issue Jul. - u. -7 www.osrjourls.or Oservos o e rscedel Euo M..Gol S.Vds T.R.Us R Dere o Mecs Sr Idr Gd Collee Trucrll- src: Te rscedel euo w ve

More information

F l a s h-b a s e d S S D s i n E n t e r p r i s e F l a s h-b a s e d S S D s ( S o-s ltiad t e D r i v e s ) a r e b e c o m i n g a n a t t r a c

F l a s h-b a s e d S S D s i n E n t e r p r i s e F l a s h-b a s e d S S D s ( S o-s ltiad t e D r i v e s ) a r e b e c o m i n g a n a t t r a c L i f e t i m e M a n a g e m e n t o f F l a-b s ah s e d S S D s U s i n g R e c o v e r-a y w a r e D y n a m i c T h r o t t l i n g S u n g j i n L e, e T a e j i n K i m, K y u n g h o, Kainmd J

More information

Chapter Simpson s 1/3 Rule of Integration. ( x)

Chapter Simpson s 1/3 Rule of Integration. ( x) Cper 7. Smpso s / Rule o Iegro Aer redg s per, you sould e le o. derve e ormul or Smpso s / rule o egro,. use Smpso s / rule o solve egrls,. develop e ormul or mulple-segme Smpso s / rule o egro,. use

More information

The Poisson Process Properties of the Poisson Process

The Poisson Process Properties of the Poisson Process Posso Processes Summary The Posso Process Properes of he Posso Process Ierarrval mes Memoryless propery ad he resdual lfeme paradox Superposo of Posso processes Radom seleco of Posso Pos Bulk Arrvals ad

More information

, k fftw ' et i 7. " W I T H M A. L I O E T O W A R 3 D JSrOKTE X l S T E O H A R I T Y F O R A L L. FIRE AT^ 10N1A, foerohlng * M».

, k fftw ' et i 7.  W I T H M A. L I O E T O W A R 3 D JSrOKTE X l S T E O H A R I T Y F O R A L L. FIRE AT^ 10N1A, foerohlng * M». VOZ O } 0U OY? V O O O O R 3 D SO X S O R Y F O R 59 VO O OUY URY 2 494 O 3 S? SOS OU 0 S z S $500 $450 $350 S U R Y Sz Y 50 300 @ 200 O 200 @ $60 0 G 200 @ $50 S RGS OYS SSS D DRS SOS YU O R D G Y F!

More information

Chapter 1 - Free Vibration of Multi-Degree-of-Freedom Systems - I

Chapter 1 - Free Vibration of Multi-Degree-of-Freedom Systems - I CEE49b Chaper - Free Vbrao of M-Degree-of-Freedo Syses - I Free Udaped Vbrao The basc ype of respose of -degree-of-freedo syses s free daped vbrao Aaogos o sge degree of freedo syses he aayss of free vbrao

More information

14. Poisson Processes

14. Poisson Processes 4. Posso Processes I Lecure 4 we roduced Posso arrvals as he lmg behavor of Bomal radom varables. Refer o Posso approxmao of Bomal radom varables. From he dscusso here see 4-6-4-8 Lecure 4 " arrvals occur

More information

The Properties of Probability of Normal Chain

The Properties of Probability of Normal Chain I. J. Coep. Mah. Sceces Vol. 8 23 o. 9 433-439 HIKARI Ld www.-hkar.co The Properes of Proaly of Noral Cha L Che School of Maheacs ad Sascs Zheghou Noral Uversy Zheghou Cy Hea Provce 4544 Cha cluu6697@sa.co

More information

FORCED VIBRATION of MDOF SYSTEMS

FORCED VIBRATION of MDOF SYSTEMS FORCED VIBRAION of DOF SSES he respose of a N DOF sysem s govered by he marx equao of moo: ] u C] u K] u 1 h al codos u u0 ad u u 0. hs marx equao of moo represes a sysem of N smulaeous equaos u ad s me

More information

Through the fractional Riemann Liouville integral x

Through the fractional Riemann Liouville integral x Volue 7 Issue 5 M 7 ISSN: 77 8X Ierol ourl o Advced Reserch Copuer Scece d Sowre geerg Reserch Pper Avlle ole : wwwjrcsseco se he Soluo o Frcol erel quos wh Trscedel Fucos Mukesh Grover r Aru Kur Toer

More information

Isotropic Non-Heisenberg Magnet for Spin S=1

Isotropic Non-Heisenberg Magnet for Spin S=1 Ierol Jourl of Physcs d Applcos. IN 974- Volume, Number (, pp. 7-4 Ierol Reserch Publco House hp://www.rphouse.com Isoropc No-Heseberg Mge for p = Y. Yousef d Kh. Kh. Mumov.U. Umrov Physcl-Techcl Isue

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

Interval Estimation. Consider a random variable X with a mean of X. Let X be distributed as X X

Interval Estimation. Consider a random variable X with a mean of X. Let X be distributed as X X ECON 37: Ecoomercs Hypohess Tesg Iervl Esmo Wh we hve doe so fr s o udersd how we c ob esmors of ecoomcs reloshp we wsh o sudy. The queso s how comforble re we wh our esmors? We frs exme how o produce

More information

TEACHERS ASSESS STUDENT S MATHEMATICAL CREATIVITY COMPETENCE IN HIGH SCHOOL

TEACHERS ASSESS STUDENT S MATHEMATICAL CREATIVITY COMPETENCE IN HIGH SCHOOL Jourl o See d rs Yer 5, No., pp. 5-, 5 ORIGINL PPER TECHERS SSESS STUDENT S MTHEMTICL CRETIVITY COMPETENCE IN HIGH SCHOOL TRN TRUNG TINH Musrp reeved: 9..5; eped pper:..5; Pulsed ole:..5. sr. ssessme s

More information

Abstract. 1. Introduction

Abstract. 1. Introduction Joura of Mathematca Sceces: Advaces ad Appcatos Voume 4 umber 2 2 Pages 33-34 COVERGECE OF HE PROJECO YPE SHKAWA ERAO PROCESS WH ERRORS FOR A FE FAMY OF OSEF -ASYMPOCAY QUAS-OEXPASVE MAPPGS HUA QU ad S-SHEG

More information

-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL

-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL UPB Sc B See A Vo 72 I 3 2 ISSN 223-727 MUTIPE -HYBRID APACE TRANSORM AND APPICATIONS TO MUTIDIMENSIONA HYBRID SYSTEMS PART II: DETERMININ THE ORIINA Ve PREPEIŢĂ Te VASIACHE 2 Ace co copeeă oă - pce he

More information

! -., THIS PAGE DECLASSIFIED IAW EQ t Fr ra _ ce, _., I B T 1CC33ti3HI QI L '14 D? 0. l d! .; ' D. o.. r l y. - - PR Pi B nt 8, HZ5 0 QL

! -., THIS PAGE DECLASSIFIED IAW EQ t Fr ra _ ce, _., I B T 1CC33ti3HI QI L '14 D? 0. l d! .; ' D. o.. r l y. - - PR Pi B nt 8, HZ5 0 QL H PAGE DECAFED AW E0 2958 UAF HORCA UD & D m \ Z c PREMNAR D FGHER BOMBER ARC o v N C o m p R C DECEMBER 956 PREPARED B HE UAF HORCA DVO N HRO UGH HE COOPERAON O F HE HORCA DVON HEADQUARER UAREUR DEPARMEN

More information

On the Existence and uniqueness for solution of system Fractional Differential Equations

On the Existence and uniqueness for solution of system Fractional Differential Equations OSR Jourl o Mhms OSR-JM SSN: 78-578. Volum 4 ssu 3 Nov. - D. PP -5 www.osrjourls.org O h Es d uquss or soluo o ssm rol Drl Equos Mh Ad Al-Wh Dprm o Appld S Uvrs o holog Bghdd- rq Asr: hs ppr w d horm o

More information

ASYMPTOTIC BEHAVIOR OF SOLUTIONS OF DISCRETE EQUATIONS ON DISCRETE REAL TIME SCALES

ASYMPTOTIC BEHAVIOR OF SOLUTIONS OF DISCRETE EQUATIONS ON DISCRETE REAL TIME SCALES ASYPTOTI BEHAVIOR OF SOLUTIONS OF DISRETE EQUATIONS ON DISRETE REAL TIE SALES J. Dlí B. Válvíová 2 Bro Uversy of Tehology Bro zeh Repul 2 Deprme of heml Alyss d Appled hems Fuly of See Uversy of Zl Žl

More information

European Journal of Mathematics and Computer Science Vol. 3 No. 1, 2016 ISSN ISSN

European Journal of Mathematics and Computer Science Vol. 3 No. 1, 2016 ISSN ISSN Euroe Jour of Mthemtcs d omuter Scece Vo. No. 6 ISSN 59-995 ISSN 59-995 ON AN INVESTIGATION O THE MATRIX O THE SEOND PARTIA DERIVATIVE IN ONE EONOMI DYNAMIS MODE S. I. Hmdov Bu Stte Uverst ABSTRAT The

More information

Chapter 1 Fundamentals in Elasticity

Chapter 1 Fundamentals in Elasticity Fs s . Ioo ssfo of ss Ms 분체역학 G Ms 역학 Ms 열역학 o Ms 유체역학 F Ms o Ms 고체역학 o Ms 구조해석 ss Dfo of Ms o B o w oo of os o of fos s s w o s s. Of fs o o of oo fos os o o o. s s o s of s os s o s o o of fos o. G fos

More information

P-Convexity Property in Musielak-Orlicz Function Space of Bohner Type

P-Convexity Property in Musielak-Orlicz Function Space of Bohner Type J N Sce & Mh Res Vol 3 No (7) -7 Alble ole h://orlwlsogocd/deh/sr P-Coey Proery Msel-Orlcz Fco Sce o Boher ye Yl Rodsr Mhecs Edco Deree Fcly o Ss d echology Uerss sl Neger Wlsogo Cerl Jdoes Absrcs Corresodg

More information

Generalisation on the Zeros of a Family of Complex Polynomials

Generalisation on the Zeros of a Family of Complex Polynomials Ieol Joul of hemcs esech. ISSN 976-584 Volume 6 Numbe 4. 93-97 Ieol esech Publco House h://www.house.com Geelso o he Zeos of Fmly of Comlex Polyomls Aee sgh Neh d S.K.Shu Deme of hemcs Lgys Uvesy Fdbd-

More information

Nield- Kuznetsov Functions of the First- and Second Kind

Nield- Kuznetsov Functions of the First- and Second Kind IOSR Jourl of led Phscs IOSR-JP e-issn: 78-486.Volue 8 Issue Ver. III M. - Ju. 6 PP 47-56.osrourls.or S.M. lzhr * I. Gdour M.H. Hd + De. of Mhecs d Sscs Uvers of Ne rusc P.O. ox 55 S Joh Ne rusc CND EL

More information

CHARACTERIZATION FROM EXPONENTIATED GAMMA DISTRIBUTION BASED ON RECORD VALUES

CHARACTERIZATION FROM EXPONENTIATED GAMMA DISTRIBUTION BASED ON RECORD VALUES CHARACTERIZATION RO EPONENTIATED GAA DISTRIBUTION BASED ON RECORD VAUES A I Sh * R A Bo Gr Cog o Euo PO Bo 55 Jh 5 Su Ar Gr Cog o Euo Dr o h PO Bo 69 Jh 9 Su Ar ABSTRACT I h r u h or ror u ro o g ruo r

More information

Continuous Time Markov Chains

Continuous Time Markov Chains Couous me Markov chas have seay sae probably soluos f a oly f hey are ergoc, us lke scree me Markov chas. Fg he seay sae probably vecor for a couous me Markov cha s o more ffcul ha s he scree me case,

More information

SIMULATING THE SOLUTION OF THE DISTRIBUTED ORDER FRACTIONAL DIFFERENTIAL EQUATIONS BY BLOCK-PULSE WAVELETS

SIMULATING THE SOLUTION OF THE DISTRIBUTED ORDER FRACTIONAL DIFFERENTIAL EQUATIONS BY BLOCK-PULSE WAVELETS U.P.. S. ull., Seres A, Vol. 79, ss., 7 SSN 3-77 SMULANG HE SOLUON OF HE SRUE ORER FRACONAL FFERENAL EQUAONS Y LOCK-PULSE WAVELES M. MASHOOF, A. H. REFAH SHEKHAN s pper, we roue eos se o operol rx o rol

More information

THIS PAGE DECLASSIFIED IAW EO IRIS u blic Record. Key I fo mation. Ma n: AIR MATERIEL COMM ND. Adm ni trative Mar ings.

THIS PAGE DECLASSIFIED IAW EO IRIS u blic Record. Key I fo mation. Ma n: AIR MATERIEL COMM ND. Adm ni trative Mar ings. T H S PA G E D E CLA SSFED AW E O 2958 RS u blc Recod Key fo maon Ma n AR MATEREL COMM ND D cumen Type Call N u b e 03 V 7 Rcvd Rel 98 / 0 ndexe D 38 Eneed Dae RS l umbe 0 0 4 2 3 5 6 C D QC d Dac A cesson

More information

Integration by Parts for D K

Integration by Parts for D K Itertol OPEN ACCESS Jourl Of Moder Egeerg Reserc IJMER Itegrto y Prts for D K Itegrl T K Gr, S Ry 2 Deprtmet of Mtemtcs, Rgutpur College, Rgutpur-72333, Purul, West Begl, Id 2 Deprtmet of Mtemtcs, Ss Bv,

More information

Chapter Trapezoidal Rule of Integration

Chapter Trapezoidal Rule of Integration Cper 7 Trpezodl Rule o Iegro Aer redg s per, you sould e le o: derve e rpezodl rule o egro, use e rpezodl rule o egro o solve prolems, derve e mulple-segme rpezodl rule o egro, 4 use e mulple-segme rpezodl

More information

Stat 6863-Handout 5 Fundamentals of Interest July 2010, Maurice A. Geraghty

Stat 6863-Handout 5 Fundamentals of Interest July 2010, Maurice A. Geraghty S 6863-Hou 5 Fuels of Ieres July 00, Murce A. Gerghy The pror hous resse beef cl occurreces, ous, ol cls e-ulero s ro rbles. The fl copoe of he curl oel oles he ecooc ssupos such s re of reur o sses flo.

More information

2 xg v Z u R u B pg x g Z v M 10 u Mu p uu Kg ugg k u g B M p gz N M u u v v p u R! k PEKER S : vg pk H g E u g p Muu O R B u H H v Yu u Bu x u B v RO

2 xg v Z u R u B pg x g Z v M 10 u Mu p uu Kg ugg k u g B M p gz N M u u v v p u R! k PEKER S : vg pk H g E u g p Muu O R B u H H v Yu u Bu x u B v RO HE 1056 M EENG O HE BRODE UB 1056 g B u 7:30 p u p 17 2012 R 432 R Wg Z g Uv : G g B S : K v Su g 33; 29 4 g u R : P : E R B J B Y B B B B B u B u E B J Hu u M M P R g J Rg Rg S u S pk k R g: u D u G D

More information

Decompression diagram sampler_src (source files and makefiles) bin (binary files) --- sh (sample shells) --- input (sample input files)

Decompression diagram sampler_src (source files and makefiles) bin (binary files) --- sh (sample shells) --- input (sample input files) . Iroduco Probblsc oe-moh forecs gudce s mde b 50 esemble members mproved b Model Oupu scs (MO). scl equo s mde b usg hdcs d d observo d. We selec some prmeers for modfg forecs o use mulple regresso formul.

More information

Hyperbolic Heat Equation as Mathematical Model for Steel Quenching of L-shape and T-shape Samples, Direct and Inverse Problems

Hyperbolic Heat Equation as Mathematical Model for Steel Quenching of L-shape and T-shape Samples, Direct and Inverse Problems SEAS RANSACIONS o HEA MASS RANSER Bos M Be As Bs Hpeo He Eo s Me Moe o See Qe o L-spe -spe Spes De Iese Poes ABIA BOBINSKA o Pss Mes es o L Ze See 8 L R LAIA e@o MARARIA BIKE ANDRIS BIKIS Ise o Mes Cope

More information

The Existence and Uniqueness of Random Solution to Itô Stochastic Integral Equation

The Existence and Uniqueness of Random Solution to Itô Stochastic Integral Equation Appled Mhemcs,, 3, 8-84 hp://dx.do.org/.436/m..379 Pulshed Ole July (hp://www.scrp.org/jourl/m) The Exsece d Uqueess of Rdom Soluo o Iô Sochsc Iegrl Equo Hmd Ahmed Alff, Csh Wg School of Mhemcs d Iformo

More information

An Interactive Intuitionistic Fuzzy Non-Linear Fractional Programming Problem

An Interactive Intuitionistic Fuzzy Non-Linear Fractional Programming Problem o ou of pp gg R SSN - Voum Num pp - R uo p:wwwpuoom v uo uzz No- o ogmmg om zz m pm of Mm u of S w v o gp O : --- T pp vop w v mo fo ovg o fo pogmmg pom o uo fuzz o v mo f o m M pf g of - v m-m pom ov

More information

Real-Time Systems. Example: scheduling using EDF. Feasibility analysis for EDF. Example: scheduling using EDF

Real-Time Systems. Example: scheduling using EDF. Feasibility analysis for EDF. Example: scheduling using EDF EDA/DIT6 Real-Tme Sysems, Chalmers/GU, 0/0 ecure # Updaed February, 0 Real-Tme Sysems Specfcao Problem: Assume a sysem wh asks accordg o he fgure below The mg properes of he asks are gve he able Ivesgae

More information

Density estimation. Density estimations. CS 2750 Machine Learning. Lecture 5. Milos Hauskrecht 5329 Sennott Square

Density estimation. Density estimations. CS 2750 Machine Learning. Lecture 5. Milos Hauskrecht 5329 Sennott Square Lecure 5 esy esmao Mlos Hauskrec mlos@cs..edu 539 Seo Square esy esmaos ocs: esy esmao: Mamum lkelood ML Bayesa arameer esmaes M Beroull dsrbuo. Bomal dsrbuo Mulomal dsrbuo Normal dsrbuo Eoeal famly Noaramerc

More information

If a is any non zero real or imaginary number and m is the positive integer, then a...

If a is any non zero real or imaginary number and m is the positive integer, then a... Idices d Surds.. Defiitio of Idices. If is o ero re or igir uer d is the positive iteger the...... ties. Here is ced the se d the ide power or epoet... Lws of Idices. 0 0 0. where d re rtio uers where

More information

AML710 CAD LECTURE 12 CUBIC SPLINE CURVES. Cubic Splines Matrix formulation Normalised cubic splines Alternate end conditions Parabolic blending

AML710 CAD LECTURE 12 CUBIC SPLINE CURVES. Cubic Splines Matrix formulation Normalised cubic splines Alternate end conditions Parabolic blending CUIC SLINE CURVES Cubc Sples Marx formulao Normalsed cubc sples Alerae ed codos arabolc bledg AML7 CAD LECTURE CUIC SLINE The ame sple comes from he physcal srume sple drafsme use o produce curves A geeral

More information

Cyclone. Anti-cyclone

Cyclone. Anti-cyclone Adveco Cycloe A-cycloe Lorez (963) Low dmesoal aracors. Uclear f hey are a good aalogy o he rue clmae sysem, bu hey have some appealg characerscs. Dscusso Is he al codo balaced? Is here a al adjusme

More information

Integral Equation Approach for Computing Green s Function on Doubly Connected Regions via the Generalized Neumann Kernel

Integral Equation Approach for Computing Green s Function on Doubly Connected Regions via the Generalized Neumann Kernel Jura Teoog Fu paper Iegra Equao Approach for Compug Gree s Fuco o Douby Coeced Regos va he Geerazed Neuma Kere S Zuaha Aspo a* A Hassa ohamed urd ab ohamed S Nasser c Hamsa Rahma a a Deparme of ahemaca

More information

Chapter 1 Fundamentals in Elasticity

Chapter 1 Fundamentals in Elasticity Fs s ν . Po Dfo ν Ps s - Do o - M os - o oos : o o w Uows o: - ss - - Ds W ows s o qos o so s os. w ows o fo s o oos s os of o os. W w o s s ss: - ss - - Ds - Ross o ows s s q s-s os s-sss os .. Do o ..

More information

A Remark on Generalized Free Subgroups. of Generalized HNN Groups

A Remark on Generalized Free Subgroups. of Generalized HNN Groups Ieraoal Mahemacal Forum 5 200 o 503-509 A Remar o Geeralzed Free Subroup o Geeralzed HNN Group R M S Mahmood Al Ho Uvery Abu Dhab POBo 526 UAE raheedmm@yahoocom Abrac A roup ermed eeralzed ree roup a ree

More information

Fully Fuzzy Linear Systems Solving Using MOLP

Fully Fuzzy Linear Systems Solving Using MOLP World Appled Sceces Joural 12 (12): 2268-2273, 2011 ISSN 1818-4952 IDOSI Publcaos, 2011 Fully Fuzzy Lear Sysems Solvg Usg MOLP Tofgh Allahvraloo ad Nasser Mkaelvad Deparme of Mahemacs, Islamc Azad Uversy,

More information

Some results and conjectures about recurrence relations for certain sequences of binomial sums.

Some results and conjectures about recurrence relations for certain sequences of binomial sums. Soe results ad coectures about recurrece relatos for certa sequeces of boal sus Joha Cgler Faultät für Matheat Uverstät We A-9 We Nordbergstraße 5 Joha Cgler@uveacat Abstract I a prevous paper [] I have

More information

8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall

8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall 8. Queueg sysems lec8. S-38.45 - Iroduco o Teleraffc Theory - Fall 8. Queueg sysems Coes Refresher: Smle eleraffc model M/M/ server wag laces M/M/ servers wag laces 8. Queueg sysems Smle eleraffc model

More information

Midterm Exam. Tuesday, September hour, 15 minutes

Midterm 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 information

An improved Bennett s inequality

An improved Bennett s inequality COMMUNICATIONS IN STATISTICS THEORY AND METHODS 017,VOL.0,NO.0,1 8 hps://do.org/10.1080/0361096.017.1367818 A mproved Bee s equly Sogfeg Zheg Deprme of Mhemcs, Mssour Se Uversy, Sprgfeld, MO, USA ABSTRACT

More information

Optimality of Distributed Control for n n Hyperbolic Systems with an Infinite Number of Variables

Optimality of Distributed Control for n n Hyperbolic Systems with an Infinite Number of Variables Advaces Pure Mahemacs 3 3 598-68 hp://dxdoorg/436/apm33677 Pubshed Oe Sepember 3 (hp://wwwscrporg/joura/apm) Opmay of Dsrbued Coro for Hyperboc Sysems wh a Ife Number of Varabes Aham Hasa amo Deparme of

More information

THIS PAGE DECLASSIFIED IAW E

THIS PAGE DECLASSIFIED IAW E THS PAGE DECLASSFED AW E0 2958 BL K THS PAGE DECLASSFED AW E0 2958 THS PAGE DECLASSFED AW E0 2958 B L K THS PAGE DECLASSFED AW E0 2958 THS PAGE DECLASSFED AW EO 2958 THS PAGE DECLASSFED AW EO 2958 THS

More information

Reliability Equivalence of a Parallel System with Non-Identical Components

Reliability Equivalence of a Parallel System with Non-Identical Components Ieraoa Mahemaca Forum 3 8 o. 34 693-7 Reaby Equvaece of a Parae Syem wh No-Ideca ompoe M. Moaer ad mmar M. Sarha Deparme of Sac & O.R. oege of Scece Kg Saud Uvery P.O.ox 455 Ryadh 45 Saud raba aarha@yahoo.com

More information

Probabilistic Graphical Models

Probabilistic Graphical Models Pros Grh Moes 0708 Lerg Coeey Oserve Uree Grh Moes Er Xg Leure O 9 005 Reg: MJCh. 990 Re: or Bs I we ssue he reers or eh CPD re goy eee oes re uy oserve he he kehoo uo eooses o su o o ers oe er oe: D D

More information

The MacWilliams Identity of the Linear Codes over the Ring F p +uf p +vf p +uvf p

The MacWilliams Identity of the Linear Codes over the Ring F p +uf p +vf p +uvf p Reearch Joural of Aled Scece Eeer ad Techoloy (6): 28-282 22 ISSN: 2-6 Maxwell Scefc Orazao 22 Submed: March 26 22 Acceed: Arl 22 Publhed: Auu 5 22 The MacWllam Idey of he Lear ode over he R F +uf +vf

More information

Multi-Period Portfolio Selection with No-Shorting Constraints: Duality Analysis

Multi-Period Portfolio Selection with No-Shorting Constraints: Duality Analysis Joura of Maheaca Face 7 7 75-768 hp://wwwscrporg/oura/f ISSN Oe: 6-44 ISSN Pr: 6-434 Mu-Perod Porfoo Seeco wh No-Shorg Cosras: Duay Aayss Ju Q La Y Maagee Schoo Ja Uversy Guagzhou Cha How o ce hs paper:

More information

2/20/2013. Topics. Power Flow Part 1 Text: Power Transmission. Power Transmission. Power Transmission. Power Transmission

2/20/2013. Topics. Power Flow Part 1 Text: Power Transmission. Power Transmission. Power Transmission. Power Transmission /0/0 Topcs Power Flow Part Text: 0-0. Power Trassso Revsted Power Flow Equatos Power Flow Proble Stateet ECEGR 45 Power Systes Power Trassso Power Trassso Recall that for a short trassso le, the power

More information

Posterior analysis of the compound truncated Weibull under different loss functions for censored data.

Posterior analysis of the compound truncated Weibull under different loss functions for censored data. INRNAIONA JOURNA OF MAHMAIC AND COMUR IN IMUAION Vou 6 oso yss of h oou u Wu u ff oss fuos fo so. Khw BOUDJRDA Ass CHADI Ho FAG. As I hs h Bys yss of gh u Wu suo s os u y II so. Bys sos osog ss hv v usg

More information

The Mean Residual Lifetime of (n k + 1)-out-of-n Systems in Discrete Setting

The Mean Residual Lifetime of (n k + 1)-out-of-n Systems in Discrete Setting Appled Mahemacs 4 5 466-477 Publshed Ole February 4 (hp//wwwscrporg/oural/am hp//dxdoorg/436/am45346 The Mea Resdual Lfeme of ( + -ou-of- Sysems Dscree Seg Maryam Torab Sahboom Deparme of Sascs Scece ad

More information

Let's revisit conditional probability, where the event M is expressed in terms of the random variable. P Ax x x = =

Let's revisit conditional probability, where the event M is expressed in terms of the random variable. P Ax x x = = L's rvs codol rol whr h v M s rssd rs o h rdo vrl. L { M } rrr v such h { M } Assu. { } { A M} { A { } } M < { } { } A u { } { } { A} { A} ( A) ( A) { A} A A { A } hs llows us o cosdr h cs wh M { } [ (

More information

QR factorization. Let P 1, P 2, P n-1, be matrices such that Pn 1Pn 2... PPA

QR factorization. Let P 1, P 2, P n-1, be matrices such that Pn 1Pn 2... PPA QR facorzao Ay x real marx ca be wre as AQR, where Q s orhogoal ad R s upper ragular. To oba Q ad R, we use he Householder rasformao as follows: Le P, P, P -, be marces such ha P P... PPA ( R s upper ragular.

More information

WELCOME. Houghton Road. Active Transportation Corridor Connection. Four options have been short-listed and are presented for your feedback.

WELCOME. Houghton Road. Active Transportation Corridor Connection. Four options have been short-listed and are presented for your feedback. WLCM he pupose of ths poject s to: ew mut-use pthwy to povde cotuous wkg d cycg oute betwee utd d dowtow, UBC, the pot d beyod s beg deveoped. he mut-use pthwy w coect: kg (ude costucto ths spg/summe)

More information

State The position of school d i e t i c i a n, a created position a t S t a t e,

State The position of school d i e t i c i a n, a created position a t S t a t e, P G E 0 E C O E G E E FRDY OCOBER 3 98 C P && + H P E H j ) ) C jj D b D x b G C E Ob 26 C Ob 6 R H E2 7 P b 2 b O j j j G C H b O P G b q b? G P P X EX E H 62 P b 79 P E R q P E x U C Ob ) E 04 D 02 P

More information

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY

INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY [Mjuh, : Jury, 0] ISSN: -96 Scefc Jourl Impc Fcr: 9 ISRA, Impc Fcr: IJESRT INTERNATIONAL JOURNAL OF ENINEERIN SCIENCES & RESEARCH TECHNOLOY HAMILTONIAN LACEABILITY IN MIDDLE RAPHS Mjuh*, MurlR, B Shmukh

More information

Chapter 1 Fundamentals in Elasticity

Chapter 1 Fundamentals in Elasticity Fs s ν . Ioo ssfo of ss Ms 분체역학 G Ms 역학 Ms 열역학 o Ms 유체역학 F Ms o Ms 고체역학 o Ms 구조해석 ss Dfo of Ms o o w oo of os o of fos s s w o s s. Of fs o o of oo fos os o o o. s s o s of s os s o s o o of fos o. G fos

More information

Random Generalized Bi-linear Mixed Variational-like Inequality for Random Fuzzy Mappings Hongxia Dai

Random Generalized Bi-linear Mixed Variational-like Inequality for Random Fuzzy Mappings Hongxia Dai Ro Geeralzed B-lear Mxed Varaoal-lke Iequaly for Ro Fuzzy Mappgs Hogxa Da Depare of Ecooc Maheacs Souhweser Uversy of Face Ecoocs Chegdu 674 P.R.Cha Absrac I h paper we roduce sudy a ew class of ro geeralzed

More information

Unique Common Fixed Point of Sequences of Mappings in G-Metric Space M. Akram *, Nosheen

Unique Common Fixed Point of Sequences of Mappings in G-Metric Space M. Akram *, Nosheen Vol No : Joural of Facult of Egeerg & echolog JFE Pages 9- Uque Coo Fed Pot of Sequeces of Mags -Metrc Sace M. Ara * Noshee * Deartet of Matheatcs C Uverst Lahore Pasta. Eal: ara7@ahoo.co Deartet of Matheatcs

More information

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9 C C A 55NED n R 5 0 9 b c c \ { s AS EC 2 5? 9 Con 0 \ 0265 o + s ^! 4 y!! {! w Y n < R > s s = ~ C c [ + * c n j R c C / e A / = + j ) d /! Y 6 ] s v * ^ / ) v } > { ± n S = S w c s y c C { ~! > R = n

More information

Analytical Evaluation of Multicenter Nuclear Attraction Integrals for Slater-Type Orbitals Using Guseinov Rotation-Angular Function

Analytical Evaluation of Multicenter Nuclear Attraction Integrals for Slater-Type Orbitals Using Guseinov Rotation-Angular Function I. J. Cop. Mh. S Vo. 5 o. 7 39-3 Ay Evuo of Mu u Ao Ig fo S-yp O Ug Guov Roo-Agu uo Rz Y M Ag Dp of Mh uy of uo fo g A-Khj Uvy Kgo of Su A Dp of Mh uy of S o B Auh Uvy Kgo of Su A A. Ug h Guov oo-gu fuo

More information

RAKE Receiver with Adaptive Interference Cancellers for a DS-CDMA System in Multipath Fading Channels

RAKE Receiver with Adaptive Interference Cancellers for a DS-CDMA System in Multipath Fading Channels AKE v wh Apv f Cs fo DS-CDMA Ss Muph Fg Chs JooHu Y Su M EEE JHog M EEE Shoo of E Egg Sou o Uvs Sh-og Gw-gu Sou 5-74 Ko E-: ohu@su As hs pp pv AKE v wh vs og s popos fo DS-CDMA ss uph fg hs h popos pv

More information