VARIATIONAL ITERATION METHOD (VIM) FOR SOLVING PARTIAL INTEGRO-DIFFERENTIAL EQUATIONS

Size: px
Start display at page:

Download "VARIATIONAL ITERATION METHOD (VIM) FOR SOLVING PARTIAL INTEGRO-DIFFERENTIAL EQUATIONS"

Transcription

1 Jourl of Theoreicl d Applied Iformio Techology h Jue 16. Vol.88. No JATIT & LLS. All righs reserved. ISSN: E-ISSN: VARIATIONAL ITERATION ETHOD VI FOR SOLVING PARTIAL INTEGRO-DIFFERENTIAL EQUATIONS 1, AINA KASSI HUSSAIN, FADHEL SUBHI FADHEL, 1 ZAINOR RIDZUAN YAHYA, 1 NURSALASAWATI RUSLI 1 Uiversii lysi Perlis, Isiue of Egieerig hemics, 6 Aru,Perlis, lysi Uiversiy of Al-ussiriyh, Deprme of eril Egieerig, 15 Bghdd, Irq Al-Nhri Uiversiy, College of Sciece, Deprme of hemics d Compuer Applicios,17 Al-Jdriy, Bghdd, Irq E-mil: 1, mi1975_ks@yhoo.com, dr_fdhel67@yhoo.com, 1 zioryhy@uimp.edu.my, 1 urslswi@uimp.edu.my, ABSTRACT I his pper, wo objecives will be chieved, he firs oe is o se d prove he eisece of uique soluio of olier pril iegro-differeil equios by usig Bch fied poi heorem. The secod objecive is o pply He s vriiol ierio mehod for solvig olier pril iegro-differeil equios. This mehod is very powerful mehod for solvig lrge mou of problems. I provides sequece of iered soluios which is coverge o he ec soluio of he problem. Also, i his work he derivio of he ierio formul usig He s mehod hve bee preseed d he prove he coverge of he obied sequece of iered pproime soluios o he ec soluio of he pril iegrodiffereil equio. Filly, illusrive emples were preseed o show he efficie of he ew mehod d he proposed echique ws progrmmed usig hcde 15.. Keywords: Vriiol Ierio ehod, Nolier Pril iegro-differeil Equio, Bch Fied Poi Theorem, Corcio ppig Priciple. 1. INTRODUCTION hemicl modelig is he r of rslig rel life problems io rcble mhemicl formulios, for emple ordiry d pril differeil equios, iegrl d iegro-differeil equios d ohers[1,]. I rece yers, here hs bee growig ieres i he iegro-differeil equios, i priculr olier pril iegro-differeil equios. Sice here re my mhemicl formulios of physicl pheome, such s olier fuciol lysis d heir pplicios i he heory of egieerig, physics, mechics, chemicl kieics, sroomy, ecoomics, biology, poeil heory d elecro sisics coi pril iegro-differeil equios[]. The problem of eisece of uique soluio of differeil equio hve bee cosidered by my uhors, such s, omi [4], omi d Hdid[5], Rbh d S. omi[6], Hu e l. [7]; Shym e l. [8];Krhikey d Trujillo [9]; ATri [1]. Pril iegro-differeil equios usully difficul o be solved lyiclly, herefore, umericl d pproime mehods re required o solve such equios, d here re my such mehods hve bee proposed previously, such s he mehod of successive pproimios dhe s ierio mehod[11,1]. The vriio ierio mehod VI hs esblished o be oe of he useful echiques i solvig my ypes of lier d olier differeil equios for fidig boh lyicl d pproime soluios[1].this echique ws developed by Chiese mhemici He. This mehod successfully pplied o my siuios, for emple, He s proposed he VI o solve Dely differeil equios [14], lier d olier differeil equios[15],seepge flow equio wih frciol derivives i porous medi [16], uoomous ordiry differeil sysems[17], followig by ommi d Abusd used VI o solve Helmholz equio[18],wzwz used VI for solvig lier d olier sysem of pril differeil equios[19],bih e l. used VI o 67

2 Jourl of Theoreicl d Applied Iformio Techology h Jue 16. Vol.88. No JATIT & LLS. All righs reserved. ISSN: E-ISSN: geerl Ricci equio [],Hmid pplied VI o solve wve equios [1], Abbsbdy d Shivi pplied Vriiol Ierio ehod for solvig sysem of olier Volerr iegro- Differeil equios [], Kuruly d Secer pplied Vriiol ierio ehod o solve olier frciol order Iegro-differeil equios []. I his pper, our im is o se d o prove he eisece of uique soluio of pril iegro-differeil equio d he use he vriio ierio mehod o solve such pril iegro-differeil equios, s well s, o prove he covergece of he iered sequece of pproime soluios o he ec soluio of he problem whe i is ssumed o be eis by he sisfcio of he codiios of he eisece of uique soluio of such equios. The form of he cosidered pril iegrodiffereil equio is give by: u, = g, + k y,, u y, dy, [,b], [,T] By usig he followig iiil codiio: u, = u Wherek is he kerel fucio, g is give fucio du is he ukow rel fucio o be evlued.. BASIC CONCEPTS AND DEFINITIONS I order o proceed, some fudmel coceps reled o his work re give i his secio. Defiiios 1,[4]: Le T:X X be mppig o ormed spcex,..a poi X such s T = is clled fied poi of T. Defiiio,[4]: A mppig T o ormed spce X,. is clled corcive if here is o-egive rel umber c, such h c < 1,d for ech 1, X, implies h: T1T1 c 1 The e heorem is well kow i lysis, which is of gre imporce for he eisece of uique soluio of equios 1. 1 Theorem 1, Bch Fied Poi Theorem,[5] LeX,. be complee ormed spce d le T : X X be corcio mppig, he T hs ecly oe fied poi. Defiiios,[6,7]: Le X,. be ormed spce, fucio f,;y 1,y,,y defied o he se: Ω={,;u 1,u,,u m :, b, <u i <, for ech i=1,,,m} is sid o sisfy Lipchiz codiio o Ωwih respec o he vribles u 1,u,,u m if cos L> eiss wih he propery h:, ;,,,, ;, z,, z f u1 u um f z1 m m L yi zi i = 1 Ω. for ll,;u 1,u,,u m d,;z 1,z,,z m i Remrk 1: The spce C [, b] [, will be cosidered i his work s he Bch spce for ll coiuous rel vlued fucios u defied o [,b] [,T] wih coiuous -h order pril derivive wih respec o.. THE EXISTENCE OF A UNIQUE SOLUTION FOR ONE-DIENSIONAL PARTIAL INTEGRO-DIFFERENTIAL EQUATIONS I his secio, he seme d he proof of he eisece d uiqueess soluio for equio 1 by usig Bch fied poi heorem d corcio mppig priciple. Theorem : Cosider he pril iegro-differeil equio 1 wih he iiil codiio equio over he regio: {, :, } Q = b T d suppose h k sisfies Lipschiz codiio wih respec o u d cos d T b < 1, he equio1 hs uique soluio. Proof: By iegrig boh sides of equio 1 68

3 Jourl of Theoreicl d Applied Iformio Techology h Jue 16. Vol.88. No JATIT & LLS. All righs reserved. ISSN: E-ISSN: wih respec o, we ge: u, = u +, g ξ dξ + k y, ξ, u y, ξ dyd ξ Sice, i is kow h he se of ll coiuous fucio defied o he regio Q is complee ormed spce wih u, u, = sup u, u, 1 1 b T Rewrie equio i operor forms s Nu=u N. = u + g, d k y,,. dyd ξ ξ + ξ ξ 5 Ne, o show h N is corcive mppig d for his purpose, ke u1, u C [,b] [, Nu, Nu, = 1 sup u + b T g, ξ dξ+ k y, ξ, u y, ξ 1 u g, ξ dξ k y, ξ, u y, ξ + = sup k y, ξ, u y, ξ k y,, u y, dyd 1 ξ ξ ξ 6 b T sup k y, ξ, u y, ξ k y,, u y, dyd 1 ξ ξ ξ 7 b T 4 6 d sice T b < 1, he N is corcio mppig d herefore N hs uique fied poi, which mes h equio 1 hs uique soluio. 4. FORULATION OF THE VARIATIONAL ITERATION ETHOD FOR NONLINEAR PARTIAL INTEGRO-DIFFERENTIAL EQUATIONS I his secio before derivio he vriio ierio formul for pril iegro-differeil equio will be mde, he mi specs of he VI will be give. The i Aspecs of he VI As meioed bove, he VI which ws suggesed by He i 1998 iesively sudied by severl scieiss d egieers which is fvorbly pplied o my kids of lier d olier problems. The mehod hs bee show o solve lrge clss of lier d olier problems effecively, esily d ccurely. Geerlly, oe or wo ierios led o high ccure soluios. This mehod which is modificio of he well-kow geerl Lgrge muliplier mehod io ierio mehod clled correcio fuciol. Geerlly spekig, he soluio procedure of he VI is very operive, srigh forwrd d coveie [8]. To illusre he bsic ide of he VI, cosider he followig geerl o-lier equio give i operor form: Lu + Nu = g, [, b] 11 wherel is lier operor, N is olier operor d g is y give fucio which is clled he o-homogeeous. Now, rewrie equio 1 i s follows: Lu + Nu g = 1 sup u y, ξ u y, ξ 1 b T sup u1, y u, y b T = supu, u, 1 b T T b supu, u, 1 b T d leu be he h pproime soluio of eq. 14, he i follows h: L u + N u g 1 d herefore he correcio fuciol for eq.15, is give by: u + 1 = u + λ s{ Lu s + Nu % s gs } ds 14 69

4 Jourl of Theoreicl d Applied Iformio Techology h Jue 16. Vol.88. No JATIT & LLS. All righs reserved. ISSN: E-ISSN: , Whereλ is he geerl Lgrge muliplier, which c be ideified opimlly vi he vriiol heory, d u % is cosidered s resriced vriio which mes δ% u =, [1]. Geerlly spekig, i is obvious h he mi seps of He s vriiol ierio mehod require he deermiio of he Lgrgi muliplierλ firs sep h will be ideified opimlly.afer deermied he Lgrgi muliplier, he successive pproimiosu + 1, of he soluiou will be redily obied upo usig y selecive fuciou. Cosequely, he soluio ucoverge o he ec soluio u u = lim u I he e heorem we will derive he geerl formul for solvig eq.1 usig VI which is bsed o he geerl form eq.16 fer evluig he Lgrge muliplier reled wih he pril iegro-differeil equio 1. Theorem : Cosider heolier pril iegrodiffereil equio 1 wih iiil equio. The he reled vriiol ierio formul is give by: u+ 1, = u, u, ξ g, ξ k y, ξ, u y, ξdy dξ For ll =,1, Proof: 15 The correcio fuciol 16 reled o he pril iegro-differeil equio 1 is give by: u+ 1, = u, + u λ, ξ g, ξ k y, ξ, u y, ξ dy d ξ % 16 Whereλ is he geerl Lgrge muliplier, which mus be evlued opimlly, he subscrip deoes he h pproimio d u% is cosidered s resriced vriio. Tkig he firs vriio δ wih respec ouo he boh sides of equio 18 d seigδu =, yields o: δu+ 1, = δu, + u δ λ, ξ g, ξ k y, ξ, u % y, ξ dy d ξ 17 whereδ u% = d cosequely equio 19will be reduced o 1,, u δ + = δu + δ λ ξ, ξ dξ 18 hece, upo usig he mehod of iegrio by prs of equio will give : δu+ 1, = δu, + λ ξ δu, ξ ξ = δu, ξ λ ξ dξ 19 = 1 + λ ξ δu, ξ u, δ ξ λ ξ= ξ dξ s resul, he followig ecessry codiio is obied for rbirryδ u : λ ξ = 1 wih iiil codiio: 1+ λ ξ = ξ = solvig he ls ordiry differeil equio will yields he geerl Lgrge muliplier o be defied s follows: λ ξ = 1 Hece, subsiuig λ ξ = 1io he correcio fuciol eq. 18 will resuls he followig ierio formul: 1,, u u u, g, k y,, u y, + = ξ ξ ξ % ξ dy dξ 7

5 Jourl of Theoreicl d Applied Iformio Techology h Jue 16. Vol.88. No JATIT & LLS. All righs reserved. ISSN: E-ISSN: ANALYSIS OF CONVERGENCE FOR NONLINEAR PARTIAL INTEGRO- DIFFERENTIAL EQUATION I he e heorem, he covergece of he sequece of iered pproime soluio 17 of he pril iegro-differeil equio 1 o he ec soluio will be proved. Theorem 4 Le u, u C [, b] [,T] be he ec d pproime soluios of equio 1 d 17, respecively. If E, = u, u, d he kerel k sisfies Lipschiz codiio wih cos, he he sequece {u } coverge o he ec soluio u. Proof: The pproime soluio usig he VI is give by: u, = u, + 1 u,, y,,, % ξ g ξ k ξ u y ξ dy d ξ 17 dsice u is he ec soluio of equio 1, hece i sisfies he VI formul, i.e., u, = u, u, g, k y,, u y, dy d ξ ξ ξ ξ ξ 4 subsrce u from u +1 d recll h E, = u, u,, implies o : u+ 1, u, = u, u, u, ξ u, ξ g, ξ + g, ξ k y, ξ, u y, ξ k y, ξ, u y, ξ dy dξ Hece E+ 1, = E, u E, ξ k y, ξ, u y, ξ k y, ξ, u y, ξ dy d ξ = E, E, E, + k y, ξ, u y, ξ k y, ξ, u y, ξ dy dξ = k y, ξ, u y, ξ k y, ξ, u y, ξ dy dξ, 7 where E, = kig he orm o he boh sides eq.9, give E+ 1, = 1 k y, ξ, u y, ξ k y, ξ, u y, ξ 8 ky, ξ,u y, ξ ky, ξ,uy, ξ dy dξ u y, ξ u y, ξ dy dξ 9 Hece E+ 1, E y, ξ dy dξ, for ll =,1,, Now, if =, he : E1 E 1 = E = E While if =1, he: E E1 4 E ξ y 5 = E 6 lso if =, he: 71

6 Jourl of Theoreicl d Applied Iformio Techology h Jue 16. Vol.88. No JATIT & LLS. All righs reserved. ISSN: E-ISSN: E E 7 y E ξ dy dξ 8 L E = 9 E = 4 E E, b, T ! sice = d kig he supermom vlue of d over [,b] d [,T], respecively, o ge E E T b 4! d i is cler h if d is o lrge i mgiude, he! u, = 1+ Srig wih he iiil pproimio u, = 1, he firs four pproime soluios usig he VI 18 re foud o be: 4 1, 1 u 4 4 9, 1 u = , 1 u , 1 u Compriso bewee he ec d pproime soluiosu 1, u, u d u 4 usig he bsolue error re give i ble 1. TABLE 1: The Absolue Error Of Emple 1 HeceE,i.e, u u s 6. NUERICAL SIULATION AND IILLUSTRATIVE, EXAPLES A B C D I his secio, wo illusrive emples will be cosidered i order o emie he vlidiy d illusrive he covergece of he vriio ierio formul give by eq. 18. Two illusrive emples re cosidered, for lier d olier pril iegrodiffereil equios, i which he ccurcy of he resuls regive by schedulig he bsolue error bewee he ec soluio give here for compriso purpose d ech iered soluio. Emple 1: Cosider he followig lier pril iegrodiffereil equio u, = + y + u dy, where, [,1] [,1] wih he iiil codiio u, = u = 1 The ec soluio is give by Where A: u, u1, Emple :,.5, e e 6.649e 8 6.6e 11.5, e e e 8.75, e 1.78e 4.911e 6 1, e 6.944e 5 B: u, u, C: u, u, D: u, u4, 7

7 Jourl of Theoreicl d Applied Iformio Techology h Jue 16. Vol.88. No JATIT & LLS. All righs reserved. ISSN: E-ISSN: , A B C D,.5, u, Compriso bewee he ec d pproime soluiosu 1, u, u du 4 usig he bsolue error re give i ble. TABLE : The bsolue error of emple.5, Where A: u, u1,.75, B: u, u, C: u, u, 1, Cosider he followig olier pril iegro-differeil equio: u, 4 = + y uy, dy, 4 Where, [,1] [,1] wih he iiil codiio: u, = u = 1 The ec soluio is give by: u, = Srig wih he iiil pproime soluio u, =, he firs four pproime soluios usig he VI eq. 18 re foud o be: 1, u , u 5 16, u D: u, u4, 7. CONCLUSIONS The vriio ierio mehod VI hs bee show o solve lrge clss of o-lier problems effecively,wih he pproimios which re coverge re rpidly o he ec soluios.i his work, he VI hs bee successfully employed o obi he pproime soluio o lyicl soluio of lier d o- lier pril iegro-differeil equios. For his purpose, we hve show h he VI hs rpid covergece by emples. REFERENCES: [1] B.Bih,. S. Noori d HshimI,Numericl Soluios of he Nolier Iegro-Differeil Equios, Jourl of Ope Problems Comp. h., Vol.1, No.1, 4-41, 8. [] N.H. Sweilm, Fourh order iegrodiffereil equios usig vriiol ierio mehod, Compuers d hemics wih Applicios, Vol.54, , 7. [] J.. Yoo, S. Xic d V. Hrykiv, A series Soluio o Pril Iegro-Differeil Equio Arisig i Viscoelsiciy, IAE N G ieriol Jourl of Applied hemics, 4, 4, 1. [4] S.omi, Locl d globl eisece heorems o frciol iegro-differeil equios, Jourl of Frciol Clculus, Vol. 18, 81-86,. [5] S. omi d S. Hdid,Lypuov sbiliy soluios of frciol iegro-differeil equios,ijs,vol. 47, 5-57, 4. 7

8 Jourl of Theoreicl d Applied Iformio Techology h Jue 16. Vol.88. No JATIT & LLS. All righs reserved. ISSN: E-ISSN: [6] W. I. Rbh d S. omi,o he Eisece d Uiqueess of Soluios of Clss Frciol Differeil Equios, J. h. Al. Appl., Vol.4, 1-1, 7. [7] H. Lyig, R.Yog d R. Skhivel, Eisece d Uiqueess of ild Soluio for SemilierIegro-differeil Equio of Frciol Order wih Nolocl Iiil Codiios d Delys, Semigroup Form, Vol.79, , 9. [8] A.. Shym, J. Z. Hussei d H. Smir,Eisece d Uiqueess Theorem of Frciol ied Volerr-FredholmIegrodiffereil Equio wih Iegrl Boudry Codiios, Ieriol Jourl of Differeil Equios, Vol.11, 11. [9] K. Krhikey d J. J. Trujillo, Eisece d Uiqueess Resuls for Frciol Iegro- Differeil Equios wih Boudry Vlue Codiios, Commu Nolier NumerSimul, Vol.17,1. [1] A. Tri, "O he Eisece Uiqueess d Soluio of he Nolier Volerr Pril Iegro-Differeil Equios", Ieriol Jourl of Nolier Sciece, Vol.16, No.,15-16, 1. [11] H. Jrd, Al-Syyed O. d Al-Shr S., Numericl Soluio of Lier Iegro- Differeil Equios, Jourl of hemics d Sisics, Vol. 44, 5-54,8. [1] il R. C., d Nigm R,Soluio of Frciol Iegro-Differeil Equios by A Domi Decomposiio ehod, Ieriol Jourl of Appl. h. Ad ech., 4, 87-94, 8. [1] J. Bizr,. G. Porshokouhi d B. Ghbri, Numericl soluio of fuciol iegrl equios by he Vriiol ierio mehod,jourl of Compuiol d Applied hemics,vol. 5, , 11. [14] J.H. He, Vriiol Ierio ehod for Dely differeil equios,commuicios i Nolier Sciece & Numericl Simulio, Vo1., No.4,1997. [15] J.H. He, Vriiol ierio mehod kid of o-lier lyicl echique: Some emples, Ier. J. Nolier ech. 4, , [16] J.H. He, Approime lyicl soluio for seepge flow wih frciol derivives i porous medi, Compu. ehods Appl. ech. Egrg. 167,57 68,1998, [17] J.H.He, Vriiol ierio mehod for uoomous ordiry differeil sysems,applied hemics d Compuio,Vol. 114, 115 1,. [18] A.. Wzwz, The vriiol ierio mehod for solvig lier d olier sysems of PDEs, Compuers d hemics wih Applicios,Vol. 54, 895 9, 7. [19] S. omi, d S. Abusd, Applicio of He s vriiol ierio mehod o Helmholz equio, Chos Solio Frcls. 7, , 6. [] B.Bih,. S. Noori d I.Hshim, Applicio of Vriiol Ierio ehod o Geerl Ricci Equio, Ieriol hemicl Form, No.56,759-77, 7,. [1] A.A. Hemed,Vriiol ierio mehod for solvig wve equio, Compuers d hemics wih Applicios 56, , 8. [] S.Abbsbdy, E.Shivi, Applicio of he Vriiol Ierio ehod for Sysem of Nolier Volerr'sIegro-Differeil Equios, Jourl of hemicl d Compuiol Applicios, Vol.14, No., , 9 [].Kuruly d Secer A., Vriiol Ierio ehod for Solvig Nolier Frciol Iegro-Differeil Equios, Ieriol Jourl of Compuer Sciece d Emergig Techologies, Vol., 18-, 11. [4]. Reed d B. Simo,Fuciol Alysis, Acdemic Press Ic., New York, 198. [5] A. J. Jerri, Iroducio o Iegrl Equios wih Applicios, reel Dekker, Ic, [6] S. K.Berberi, Iroducio o Hilber Spce, Chelse publishig Compy, New York, [7] R. L. Burde. dfires J. D.,Numericl Alysis, Sih Ediio, Thomso Lerig, Ic, 1997 [8] J. S Ghorbid, J. S. Ndjfi, Covergece of He's vriiol ierio mehod for olier oscillors, Nolier Sci. Vol. 1 4, 79-84,1. 74

Existence Of Solutions For Nonlinear Fractional Differential Equation With Integral Boundary Conditions

Existence Of Solutions For Nonlinear Fractional Differential Equation With Integral Boundary Conditions Reserch Ivey: Ieriol Jourl Of Egieerig Ad Sciece Vol., Issue (April 3), Pp 8- Iss(e): 78-47, Iss(p):39-6483, Www.Reserchivey.Com Exisece Of Soluios For Nolier Frciol Differeil Equio Wih Iegrl Boudry Codiios,

More information

Local Fractional Kernel Transform in Fractal Space and Its Applications

Local Fractional Kernel Transform in Fractal Space and Its Applications From he SelecedWorks of Xio-J Yg 22 Locl Frciol Kerel Trsform i Frcl Spce d Is Applicios Yg Xioj Aville : hps://works.epress.com/yg_ioj/3/ Advces i Compuiol Mhemics d is Applicios 86 Vol. No. 2 22 Copyrigh

More information

ERROR ESTIMATES FOR APPROXIMATING THE FOURIER TRANSFORM OF FUNCTIONS OF BOUNDED VARIATION

ERROR ESTIMATES FOR APPROXIMATING THE FOURIER TRANSFORM OF FUNCTIONS OF BOUNDED VARIATION ERROR ESTIMATES FOR APPROXIMATING THE FOURIER TRANSFORM OF FUNCTIONS OF BOUNDED VARIATION N.S. BARNETT, S.S. DRAGOMIR, AND G. HANNA Absrc. I his pper we poi ou pproximio for he Fourier rsform for fucios

More information

Forced Oscillation of Nonlinear Impulsive Hyperbolic Partial Differential Equation with Several Delays

Forced Oscillation of Nonlinear Impulsive Hyperbolic Partial Differential Equation with Several Delays Jourl of Applied Mhemics d Physics, 5, 3, 49-55 Published Olie November 5 i SciRes hp://wwwscirporg/ourl/mp hp://dxdoiorg/436/mp5375 Forced Oscillio of Nolier Impulsive Hyperbolic Pril Differeil Equio

More information

Boundary Value Problems of Conformable. Fractional Differential Equation with Impulses

Boundary Value Problems of Conformable. Fractional Differential Equation with Impulses Applied Meicl Scieces Vol 2 28 o 8 377-397 HIKARI Ld www-irico ps://doiorg/2988/s28823 Boudry Vlue Probles of Coforble Frciol Differeil Equio wi Ipulses Arisr Tgvree Ci Tipryoo d Apisi Ppogpu Depre of

More information

ON SOME FRACTIONAL PARABOLIC EQUATIONS DRIVEN BY FRACTIONAL GAUSSIAN NOISE

ON SOME FRACTIONAL PARABOLIC EQUATIONS DRIVEN BY FRACTIONAL GAUSSIAN NOISE IJRRAS 6 3) Februry www.rppress.com/volumes/vol6issue3/ijrras_6_3_.pdf ON SOME FRACIONAL ARABOLIC EQUAIONS RIVEN BY FRACIONAL GAUSSIAN NOISE Mhmoud M. El-Bori & hiri El-Sid El-Ndi Fculy of Sciece Alexdri

More information

International Journal of Computer Sciences and Engineering. Research Paper Volume-6, Issue-1 E-ISSN:

International Journal of Computer Sciences and Engineering. Research Paper Volume-6, Issue-1 E-ISSN: Ieriol Jourl of Compuer Scieces d Egieerig Ope ccess Reserch Pper Volume-6, Issue- E-ISSN: 47-69 pplicios of he boodh Trsform d he Homoopy Perurbio Mehod o he Nolier Oscillors P.K. Ber *, S.K. Ds, P. Ber

More information

Integration and Differentiation

Integration and Differentiation ome Clculus bckgroud ou should be fmilir wih, or review, for Mh 404 I will be, for he mos pr, ssumed ou hve our figerips he bsics of (mulivrible) fucios, clculus, d elemer differeil equios If here hs bee

More information

Variational Iteration Method for Solving Volterra and Fredholm Integral Equations of the Second Kind

Variational Iteration Method for Solving Volterra and Fredholm Integral Equations of the Second Kind Ge. Mth. Notes, Vol. 2, No. 1, Jury 211, pp. 143-148 ISSN 2219-7184; Copyright ICSRS Publictio, 211 www.i-csrs.org Avilble free olie t http://www.gem.i Vritiol Itertio Method for Solvig Volterr d Fredholm

More information

Transient Solution of the M/M/C 1 Queue with Additional C 2 Servers for Longer Queues and Balking

Transient Solution of the M/M/C 1 Queue with Additional C 2 Servers for Longer Queues and Balking Jourl of Mhemics d Sisics 4 (): 2-25, 28 ISSN 549-3644 28 Sciece ublicios Trsie Soluio of he M/M/C Queue wih Addiiol C 2 Servers for Loger Queues d Blkig R. O. Al-Seedy, A. A. El-Sherbiy,,2 S. A. EL-Shehwy

More information

A new approach to Kudryashov s method for solving some nonlinear physical models

A new approach to Kudryashov s method for solving some nonlinear physical models Ieriol Jourl of Physicl Scieces Vol. 7() pp. 860-866 0 My 0 Avilble olie hp://www.cdeicourls.org/ijps DOI: 0.897/IJPS.07 ISS 99-90 0 Acdeic Jourls Full Legh Reserch Pper A ew pproch o Kudryshov s ehod

More information

SLOW INCREASING FUNCTIONS AND THEIR APPLICATIONS TO SOME PROBLEMS IN NUMBER THEORY

SLOW INCREASING FUNCTIONS AND THEIR APPLICATIONS TO SOME PROBLEMS IN NUMBER THEORY VOL. 8, NO. 7, JULY 03 ISSN 89-6608 ARPN Jourl of Egieerig d Applied Sciece 006-03 Ai Reerch Publihig Nework (ARPN). All righ reerved. www.rpjourl.com SLOW INCREASING FUNCTIONS AND THEIR APPLICATIONS TO

More information

F.Y. Diploma : Sem. II [CE/CR/CS] Applied Mathematics

F.Y. Diploma : Sem. II [CE/CR/CS] Applied Mathematics F.Y. Diplom : Sem. II [CE/CR/CS] Applied Mhemics Prelim Quesio Pper Soluio Q. Aemp y FIVE of he followig : [0] Q. () Defie Eve d odd fucios. [] As.: A fucio f() is sid o e eve fucio if f() f() A fucio

More information

An Extension of Hermite Polynomials

An Extension of Hermite Polynomials I J Coemp Mh Scieces, Vol 9, 014, o 10, 455-459 HIKARI Ld, wwwm-hikricom hp://dxdoiorg/101988/ijcms0144663 A Exesio of Hermie Polyomils Ghulm Frid Globl Isiue Lhore New Grde Tow, Lhore, Pkis G M Hbibullh

More information

Week 8 Lecture 3: Problems 49, 50 Fourier analysis Courseware pp (don t look at French very confusing look in the Courseware instead)

Week 8 Lecture 3: Problems 49, 50 Fourier analysis Courseware pp (don t look at French very confusing look in the Courseware instead) Week 8 Lecure 3: Problems 49, 5 Fourier lysis Coursewre pp 6-7 (do look Frech very cofusig look i he Coursewre ised) Fourier lysis ivolves ddig wves d heir hrmoics, so i would hve urlly followed fer he

More information

HOMEWORK 6 - INTEGRATION. READING: Read the following parts from the Calculus Biographies that I have given (online supplement of our textbook):

HOMEWORK 6 - INTEGRATION. READING: Read the following parts from the Calculus Biographies that I have given (online supplement of our textbook): MAT 3 CALCULUS I 5.. Dokuz Eylül Uiversiy Fculy of Sciece Deprme of Mhemics Isrucors: Egi Mermu d Cell Cem Srıoğlu HOMEWORK 6 - INTEGRATION web: hp://kisi.deu.edu.r/egi.mermu/ Tebook: Uiversiy Clculus,

More information

Contraction Mapping Principle Approach to Differential Equations

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

More information

FIXED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE

FIXED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE Mohia & Samaa, Vol. 1, No. II, December, 016, pp 34-49. ORIGINAL RESEARCH ARTICLE OPEN ACCESS FIED FUZZY POINT THEOREMS IN FUZZY METRIC SPACE 1 Mohia S. *, Samaa T. K. 1 Deparme of Mahemaics, Sudhir Memorial

More information

LOCUS 1. Definite Integration CONCEPT NOTES. 01. Basic Properties. 02. More Properties. 03. Integration as Limit of a Sum

LOCUS 1. Definite Integration CONCEPT NOTES. 01. Basic Properties. 02. More Properties. 03. Integration as Limit of a Sum LOCUS Defiie egrio CONCEPT NOTES. Bsic Properies. More Properies. egrio s Limi of Sum LOCUS Defiie egrio As eplied i he chper iled egrio Bsics, he fudmel heorem of clculus ells us h o evlue he re uder

More information

Extension of Hardy Inequality on Weighted Sequence Spaces

Extension of Hardy Inequality on Weighted Sequence Spaces Jourl of Scieces Islic Reublic of Ir 20(2): 59-66 (2009) Uiversiy of ehr ISS 06-04 h://sciecesucir Eesio of Hrdy Iequliy o Weighed Sequece Sces R Lshriour d D Foroui 2 Dere of Mheics Fculy of Mheics Uiversiy

More information

ON PRODUCT SUMMABILITY OF FOURIER SERIES USING MATRIX EULER METHOD

ON PRODUCT SUMMABILITY OF FOURIER SERIES USING MATRIX EULER METHOD Ieriol Jourl o Advces i Egieerig & Techology Mrch IJAET ISSN: 3-963 N PRDUCT SUMMABILITY F FURIER SERIES USING MATRIX EULER METHD BPPdhy Bii Mlli 3 UMisr d 4 Mhedr Misr Depre o Mheics Rold Isiue o Techology

More information

The Solution of the One Species Lotka-Volterra Equation Using Variational Iteration Method ABSTRACT INTRODUCTION

The Solution of the One Species Lotka-Volterra Equation Using Variational Iteration Method ABSTRACT INTRODUCTION Malaysia Joural of Mahemaical Scieces 2(2): 55-6 (28) The Soluio of he Oe Species Loka-Volerra Equaio Usig Variaioal Ieraio Mehod B. Baiha, M.S.M. Noorai, I. Hashim School of Mahemaical Scieces, Uiversii

More information

Solving Wave and Diffusion Equations on Cantor Sets

Solving Wave and Diffusion Equations on Cantor Sets Proceedigs o he Pkis Acdemy o Scieces 5 : 8 87 5 Copyrigh Pkis Acdemy o Scieces ISSN: 77-969 pri 6-448 olie Pkis Acdemy o Scieces Reserch Aricle Solvig Wve d Disio qios o Cor Ses Jmshd Ahmd * d Syed Tsee

More information

On the convergence of the VHPM for the Zakharove-Kuznetsov equations

On the convergence of the VHPM for the Zakharove-Kuznetsov equations IJST ( A (Specil isse-mheics: 5-58 Iri Jorl of Sciece & Techology hp://wwwshirzcir/e O he covergece of he VHPM for he Zhrove-Kzesov eqios M Mifr* M Ghsei d M Seidy Depre of Mheics Fcly of Scieces Mzdr

More information

Available online at J. Math. Comput. Sci. 4 (2014), No. 4, ISSN:

Available online at   J. Math. Comput. Sci. 4 (2014), No. 4, ISSN: Available olie a hp://sci.org J. Mah. Compu. Sci. 4 (2014), No. 4, 716-727 ISSN: 1927-5307 ON ITERATIVE TECHNIQUES FOR NUMERICAL SOLUTIONS OF LINEAR AND NONLINEAR DIFFERENTIAL EQUATIONS S.O. EDEKI *, A.A.

More information

Free Flapping Vibration of Rotating Inclined Euler Beams

Free Flapping Vibration of Rotating Inclined Euler Beams World cdemy of Sciece, Egieerig d Techology 56 009 Free Flppig Vibrio of Roig Iclied Euler Bems Chih-ig Hug, We-Yi i, d Kuo-Mo Hsio bsrc mehod bsed o he power series soluio is proposed o solve he url frequecy

More information

NOTES ON BERNOULLI NUMBERS AND EULER S SUMMATION FORMULA. B r = [m = 0] r

NOTES ON BERNOULLI NUMBERS AND EULER S SUMMATION FORMULA. B r = [m = 0] r NOTES ON BERNOULLI NUMBERS AND EULER S SUMMATION FORMULA MARK WILDON. Beroulli umbers.. Defiiio. We defie he Beroulli umbers B m for m by m ( m + ( B r [m ] r r Beroulli umbers re med fer Joh Beroulli

More information

Supplement: Gauss-Jordan Reduction

Supplement: Gauss-Jordan Reduction Suppleme: Guss-Jord Reducio. Coefficie mri d ugmeed mri: The coefficie mri derived from sysem of lier equios m m m m is m m m A O d he ugmeed mri derived from he ove sysem of lier equios is [ ] m m m m

More information

Special Functions. Leon M. Hall. Professor of Mathematics University of Missouri-Rolla. Copyright c 1995 by Leon M. Hall. All rights reserved.

Special Functions. Leon M. Hall. Professor of Mathematics University of Missouri-Rolla. Copyright c 1995 by Leon M. Hall. All rights reserved. Specil Fucios Leo M. Hll Professor of Mhemics Uiversiy of Missouri-Roll Copyrigh c 995 y Leo M. Hll. All righs reserved. Chper 5. Orhogol Fucios 5.. Geerig Fucios Cosider fucio f of wo vriles, ( x,), d

More information

Comparison between Fourier and Corrected Fourier Series Methods

Comparison between Fourier and Corrected Fourier Series Methods Malaysia Joural of Mahemaical Scieces 7(): 73-8 (13) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Joural homepage: hp://eispem.upm.edu.my/oural Compariso bewee Fourier ad Correced Fourier Series Mehods 1

More information

Reinforcement Learning

Reinforcement Learning Reiforceme Corol lerig Corol polices h choose opiml cios Q lerig Covergece Chper 13 Reiforceme 1 Corol Cosider lerig o choose cios, e.g., Robo lerig o dock o bery chrger o choose cios o opimize fcory oupu

More information

[Nachlass] of the Theory of the Arithmetic-Geometric Mean and the Modulus Function.

[Nachlass] of the Theory of the Arithmetic-Geometric Mean and the Modulus Function. [Nchlss] of he Theory of he Arihmeic-Geomeric Me d he Modulus Fucio Defiiio d Covergece of he Algorihm [III 6] Le d e wo posiive rel mgiudes d le From hem we form he wo sequeces: i such wy h y wo correspodig

More information

On Absolute Indexed Riesz Summability of Orthogonal Series

On Absolute Indexed Riesz Summability of Orthogonal Series Ieriol Jourl of Couiol d Alied Mheics. ISSN 89-4966 Volue 3 Nuer (8). 55-6 eserch Idi Pulicios h:www.riulicio.co O Asolue Ideed iesz Suiliy of Orhogol Series L. D. Je S. K. Piry *. K. Ji 3 d. Sl 4 eserch

More information

ON BILATERAL GENERATING FUNCTIONS INVOLVING MODIFIED JACOBI POLYNOMIALS

ON BILATERAL GENERATING FUNCTIONS INVOLVING MODIFIED JACOBI POLYNOMIALS Jourl of Sciece d Ars Yer 4 No 227-6 24 ORIINAL AER ON BILATERAL ENERATIN FUNCTIONS INVOLVIN MODIFIED JACOBI OLYNOMIALS CHANDRA SEKHAR BERA Muscri received: 424; Acceed er: 3524; ublished olie: 3624 Absrc

More information

APPROXIMATE SOLUTION OF FRACTIONAL DIFFERENTIAL EQUATIONS WITH UNCERTAINTY

APPROXIMATE SOLUTION OF FRACTIONAL DIFFERENTIAL EQUATIONS WITH UNCERTAINTY APPROXIMATE SOLUTION OF FRACTIONAL DIFFERENTIAL EQUATIONS WITH UNCERTAINTY ZHEN-GUO DENG ad GUO-CHENG WU 2, 3 * School of Mahemaics ad Iformaio Sciece, Guagi Uiversiy, Naig 534, PR Chia 2 Key Laboraory

More information

The Trigonometric Representation of Complex Type Number System

The Trigonometric Representation of Complex Type Number System Ieriol Jourl of Scieific d Reserch Pulicios Volume 7 Issue Ocoer 7 587 ISSN 5-353 The Trigoomeric Represeio of Complex Type Numer Sysem ThymhyPio Jude Nvih Deprme of Mhemics Eser Uiversiy Sri Lk Asrc-

More information

Experiment 6: Fourier Series

Experiment 6: Fourier Series Fourier Series Experime 6: Fourier Series Theory A Fourier series is ifiie sum of hrmoic fucios (sies d cosies) wih every erm i he series hvig frequecy which is iegrl muliple of some pricipl frequecy d

More information

ONE RANDOM VARIABLE F ( ) [ ] x P X x x x 3

ONE RANDOM VARIABLE F ( ) [ ] x P X x x x 3 The Cumulive Disribuio Fucio (cd) ONE RANDOM VARIABLE cd is deied s he probbiliy o he eve { x}: F ( ) [ ] x P x x - Applies o discree s well s coiuous RV. Exmple: hree osses o coi x 8 3 x 8 8 F 3 3 7 x

More information

Numerical Solutions of Fredholm Integral Equations Using Bernstein Polynomials

Numerical Solutions of Fredholm Integral Equations Using Bernstein Polynomials Numericl Solutios of Fredholm Itegrl Equtios Usig erstei Polyomils A. Shiri, M. S. Islm Istitute of Nturl Scieces, Uited Itertiol Uiversity, Dhk-, gldesh Deprtmet of Mthemtics, Uiversity of Dhk, Dhk-,

More information

ECE 636: Systems identification

ECE 636: Systems identification ECE 636: Sysems ideificio Lecures 7 8 Predicio error mehods Se spce models Coiuous ime lier se spce spce model: x ( = Ax( + Bu( + w( y( = Cx( + υ( A:, B: m, C: Discree ime lier se spce model: x( + = A(

More information

Distortion Analysis of a LNA

Distortion Analysis of a LNA Disorio lysis of LN Su Tr Lim 0. bsrc This pper preses overview d compriso of he commo soluio i deermiig disorio i LN. Brief bckgroud iformio regrdig how disorio ffecs he performce of CMOS LN is preseed.

More information

Mean Square Convergent Finite Difference Scheme for Stochastic Parabolic PDEs

Mean Square Convergent Finite Difference Scheme for Stochastic Parabolic PDEs America Joural of Compuaioal Mahemaics, 04, 4, 80-88 Published Olie Sepember 04 i SciRes. hp://www.scirp.org/joural/ajcm hp://dx.doi.org/0.436/ajcm.04.4404 Mea Square Coverge Fiie Differece Scheme for

More information

5.1-The Initial-Value Problems For Ordinary Differential Equations

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

More information

On computing two special cases of Gauss hypergeometric function

On computing two special cases of Gauss hypergeometric function O comuig wo secil cses of Guss hyergeomeric fucio Mohmmd Msjed-Jmei Wolfrm Koef b * Derme of Mhemics K.N.Toosi Uiversiy of Techology P.O.Bo 65-68 Tehr Ir E-mil: mmjmei@u.c.ir mmjmei@yhoo.com b* Isiue of

More information

First-Passage Time moment Approximation For The Birth Death Diffusion Process To A General moving Barrier

First-Passage Time moment Approximation For The Birth Death Diffusion Process To A General moving Barrier Ieriol Jourl of emics Sisics Iveio IJSI E-ISSN: 3 4767 P-ISSN: 3-4759 Volume 5 Issue 9 Jury 8 PP-4-8 Firs-Pssge Time mome pproimio For Te Bir De Diffusio Process To Geerl movig Brrier Bsel. l-eie KuwiUiversiy

More information

n 2 + 3n + 1 4n = n2 + 3n + 1 n n 2 = n + 1

n 2 + 3n + 1 4n = n2 + 3n + 1 n n 2 = n + 1 Ifiite Series Some Tests for Divergece d Covergece Divergece Test: If lim u or if the limit does ot exist, the series diverget. + 3 + 4 + 3 EXAMPLE: Show tht the series diverges. = u = + 3 + 4 + 3 + 3

More information

Review of the Riemann Integral

Review of the Riemann Integral Chpter 1 Review of the Riem Itegrl This chpter provides quick review of the bsic properties of the Riem itegrl. 1.0 Itegrls d Riem Sums Defiitio 1.0.1. Let [, b] be fiite, closed itervl. A prtitio P of

More information

Chapter 7 Infinite Series

Chapter 7 Infinite Series MA Ifiite Series Asst.Prof.Dr.Supree Liswdi Chpter 7 Ifiite Series Sectio 7. Sequece A sequece c be thought of s list of umbers writte i defiite order:,,...,,... 2 The umber is clled the first term, 2

More information

th m m m m central moment : E[( X X) ] ( X X) ( x X) f ( x)

th m m m m central moment : E[( X X) ] ( X X) ( x X) f ( x) 1 Trasform Techiques h m m m m mome : E[ ] x f ( x) dx h m m m m ceral mome : E[( ) ] ( ) ( x) f ( x) dx A coveie wa of fidig he momes of a radom variable is he mome geeraig fucio (MGF). Oher rasform echiques

More information

Approximating Solutions for Ginzburg Landau Equation by HPM and ADM

Approximating Solutions for Ginzburg Landau Equation by HPM and ADM Available a hp://pvamu.edu/aam Appl. Appl. Mah. ISSN: 193-9466 Vol. 5, No. Issue (December 1), pp. 575 584 (Previously, Vol. 5, Issue 1, pp. 167 1681) Applicaios ad Applied Mahemaics: A Ieraioal Joural

More information

1 Notes on Little s Law (l = λw)

1 Notes on Little s Law (l = λw) Copyrigh c 26 by Karl Sigma Noes o Lile s Law (l λw) We cosider here a famous ad very useful law i queueig heory called Lile s Law, also kow as l λw, which assers ha he ime average umber of cusomers i

More information

Fractional Fourier Series with Applications

Fractional Fourier Series with Applications Aeric Jourl o Couiol d Alied Mheics 4, 4(6): 87-9 DOI: 593/jjc446 Frciol Fourier Series wih Alicios Abu Hd I, Khlil R * Uiversiy o Jord, Jord Absrc I his er, we iroduce coorble rciol Fourier series We

More information

Some Properties of Semi-E-Convex Function and Semi-E-Convex Programming*

Some Properties of Semi-E-Convex Function and Semi-E-Convex Programming* The Eighh Ieraioal Symposium o Operaios esearch ad Is Applicaios (ISOA 9) Zhagjiajie Chia Sepember 2 22 29 Copyrigh 29 OSC & APOC pp 33 39 Some Properies of Semi-E-Covex Fucio ad Semi-E-Covex Programmig*

More information

Time-domain Aeroelastic Analysis of Bridge using a Truncated Fourier Series of the Aerodynamic Transfer Function

Time-domain Aeroelastic Analysis of Bridge using a Truncated Fourier Series of the Aerodynamic Transfer Function Te 8 Ci-Jp-ore eriol Worksop o Wid Egieerig My, 3 Time-domi Aeroelsic Alysis of ridge usig Truced Fourier Series of e Aerodymic Trsfer Fucio Jiwook Prk, Seoul iol iversiy, ore ilje Jug, iversiy of ore

More information

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4)

1. Solve by the method of undetermined coefficients and by the method of variation of parameters. (4) 7 Differeial equaios Review Solve by he mehod of udeermied coefficies ad by he mehod of variaio of parameers (4) y y = si Soluio; we firs solve he homogeeous equaio (4) y y = 4 The correspodig characerisic

More information

Numerical Method for Ordinary Differential Equation

Numerical Method for Ordinary Differential Equation Numerical ehod for Ordiar Differeial Equaio. J. aro ad R. J. Lopez, Numerical Aalsis: A Pracical Approach, 3rd Ed., Wadsworh Publishig Co., Belmo, CA (99): Chap. 8.. Iiial Value Problem (IVP) d (IVP):

More information

EE757 Numerical Techniques in Electromagnetics Lecture 9

EE757 Numerical Techniques in Electromagnetics Lecture 9 EE757 uericl Techiques i Elecroeics Lecure 9 EE757 06 Dr. Mohed Bkr Diereil Equios Vs. Ierl Equios Ierl equios ke severl ors e.. b K d b K d Mos diereil equios c be epressed s ierl equios e.. b F d d /

More information

Functions, Limit, And Continuity

Functions, Limit, And Continuity Fucios, Limi d coiuiy of fucio Fucios, Limi, Ad Coiuiy. Defiiio of fucio A fucio is rule of correspodece h ssocies wih ech ojec i oe se clled f from secod se. The se of ll vlues so oied is he domi, sigle

More information

Suggested Solution for Pure Mathematics 2011 By Y.K. Ng (last update: 8/4/2011) Paper I. (b) (c)

Suggested Solution for Pure Mathematics 2011 By Y.K. Ng (last update: 8/4/2011) Paper I. (b) (c) per I. Le α 7 d β 7. The α d β re he roos o he equio, such h α α, β β, --- α β d αβ. For, α β For, α β α β αβ 66 The seme is rue or,. ssume Cosider, α β d α β y deiiio α α α α β or some posiive ieer.

More information

Common Fixed Point Theorem in Intuitionistic Fuzzy Metric Space via Compatible Mappings of Type (K)

Common Fixed Point Theorem in Intuitionistic Fuzzy Metric Space via Compatible Mappings of Type (K) Ieraioal Joural of ahemaics Treds ad Techology (IJTT) Volume 35 umber 4- July 016 Commo Fixed Poi Theorem i Iuiioisic Fuzzy eric Sace via Comaible aigs of Tye (K) Dr. Ramaa Reddy Assisa Professor De. of

More information

The analysis of the method on the one variable function s limit Ke Wu

The analysis of the method on the one variable function s limit Ke Wu Ieraioal Coferece o Advaces i Mechaical Egieerig ad Idusrial Iformaics (AMEII 5) The aalysis of he mehod o he oe variable fucio s i Ke Wu Deparme of Mahemaics ad Saisics Zaozhuag Uiversiy Zaozhuag 776

More information

Infinite Series Sequences: terms nth term Listing Terms of a Sequence 2 n recursively defined n+1 Pattern Recognition for Sequences Ex:

Infinite Series Sequences: terms nth term Listing Terms of a Sequence 2 n recursively defined n+1 Pattern Recognition for Sequences Ex: Ifiite Series Sequeces: A sequece i defied s fuctio whose domi is the set of positive itegers. Usully it s esier to deote sequece i subscript form rther th fuctio ottio.,, 3, re the terms of the sequece

More information

Supplement for SADAGRAD: Strongly Adaptive Stochastic Gradient Methods"

Supplement for SADAGRAD: Strongly Adaptive Stochastic Gradient Methods Suppleme for SADAGRAD: Srogly Adapive Sochasic Gradie Mehods" Zaiyi Che * 1 Yi Xu * Ehog Che 1 iabao Yag 1. Proof of Proposiio 1 Proposiio 1. Le ɛ > 0 be fixed, H 0 γi, γ g, EF (w 1 ) F (w ) ɛ 0 ad ieraio

More information

VIM for Determining Unknown Source Parameter in Parabolic Equations

VIM for Determining Unknown Source Parameter in Parabolic Equations ISSN 1746-7659, Eglad, UK Joural of Iformaio ad Compuig Sciece Vol. 11, No., 16, pp. 93-1 VIM for Deermiig Uko Source Parameer i Parabolic Equaios V. Eskadari *ad M. Hedavad Educaio ad Traiig, Dourod,

More information

Degree of Approximation of Conjugate of Signals (Functions) by Lower Triangular Matrix Operator

Degree of Approximation of Conjugate of Signals (Functions) by Lower Triangular Matrix Operator Alied Mhemics 2 2 448-452 doi:.4236/m.2.2226 Pulished Olie Decemer 2 (h://www.scirp.org/jourl/m) Degree of Aroimio of Cojuge of Sigls (Fucios) y Lower Trigulr Mri Oeror Asrc Vishu Nry Mishr Huzoor H. Kh

More information

EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D. S. Palimkar

EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D. S. Palimkar Ieraioal Joural of Scieific ad Research Publicaios, Volue 2, Issue 7, July 22 ISSN 225-353 EXISTENCE THEORY OF RANDOM DIFFERENTIAL EQUATIONS D S Palikar Depare of Maheaics, Vasarao Naik College, Naded

More information

S.E. Sem. III [EXTC] Applied Mathematics - III

S.E. Sem. III [EXTC] Applied Mathematics - III S.E. Sem. III [EXTC] Applied Mhemic - III Time : 3 Hr.] Prelim Pper Soluio [Mrk : 8 Q.() Fid Lplce rform of e 3 co. [5] A.: L{co }, L{ co } d ( ) d () L{ co } y F.S.T. 3 ( 3) Le co 3 Q.() Prove h : f (

More information

Research Article Positive Solutions for a Second-Order p-laplacian Boundary Value Problem with Impulsive Effects and Two Parameters

Research Article Positive Solutions for a Second-Order p-laplacian Boundary Value Problem with Impulsive Effects and Two Parameters Hidwi Pulihig Corporio Arc d Applied Alyi Volume 24, Aricle ID 534787, 4 pge hp://dx.doi.org/.55/24/534787 Reerch Aricle Poiive Soluio for Secod-Order p-lplci Boudry Vlue Prolem wih Impulive Effec d Two

More information

Approach Method to Evaluate the Total Harmonic Distortion for a System Has Multiple Nonlinear Loads

Approach Method to Evaluate the Total Harmonic Distortion for a System Has Multiple Nonlinear Loads eriol Jourl of Egieerig Reserc SSN:39-689(olie,347-53(pri Volume No.4, ssue No., pp : 68-64 Nov. 5 Approc eod o Evlue e ol rmoic Disorio for Sysem s uliple Nolier Lods. A. omed Elecricl Power d cies Deprme,

More information

10.5 Power Series. In this section, we are going to start talking about power series. A power series is a series of the form

10.5 Power Series. In this section, we are going to start talking about power series. A power series is a series of the form 0.5 Power Series I the lst three sectios, we ve spet most of tht time tlkig bout how to determie if series is coverget or ot. Now it is time to strt lookig t some specific kids of series d we will evetully

More information

Solution of Laplace s Differential Equation and Fractional Differential Equation of That Type

Solution of Laplace s Differential Equation and Fractional Differential Equation of That Type Applie Mheics 3 4 6-36 Pulishe Olie oveer 3 (hp://wwwscirporg/jourl/) hp://oiorg/436/34a5 Soluio of Lplce s iffereil Equio Frciol iffereil Equio of Th Type Tohru Mori Ke-ichi So Tohou Uiversiy Sei Jp College

More information

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

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

More information

Review of Sections

Review of Sections Review of Sectios.-.6 Mrch 24, 204 Abstrct This is the set of otes tht reviews the mi ides from Chpter coverig sequeces d series. The specific sectios tht we covered re s follows:.: Sequces..2: Series,

More information

Notes 03 largely plagiarized by %khc

Notes 03 largely plagiarized by %khc 1 1 Discree-Time Covoluio Noes 03 largely plagiarized by %khc Le s begi our discussio of covoluio i discree-ime, sice life is somewha easier i ha domai. We sar wih a sigal x[] ha will be he ipu io our

More information

Some New Iterative Methods Based on Composite Trapezoidal Rule for Solving Nonlinear Equations

Some New Iterative Methods Based on Composite Trapezoidal Rule for Solving Nonlinear Equations Itertiol Jourl of Mthemtics d Sttistics Ivetio (IJMSI) E-ISSN: 31 767 P-ISSN: 31-759 Volume Issue 8 August. 01 PP-01-06 Some New Itertive Methods Bsed o Composite Trpezoidl Rule for Solvig Nolier Equtios

More information

We will begin by supplying the proof to (a).

We will begin by supplying the proof to (a). (The solutios of problem re mostly from Jeffrey Mudrock s HWs) Problem 1. There re three sttemet from Exmple 5.4 i the textbook for which we will supply proofs. The sttemets re the followig: () The spce

More information

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws.

Calculus Limits. Limit of a function.. 1. One-Sided Limits...1. Infinite limits 2. Vertical Asymptotes...3. Calculating Limits Using the Limit Laws. Limi of a fucio.. Oe-Sided..... Ifiie limis Verical Asympoes... Calculaig Usig he Limi Laws.5 The Squeeze Theorem.6 The Precise Defiiio of a Limi......7 Coiuiy.8 Iermediae Value Theorem..9 Refereces..

More information

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory

Ideal Amplifier/Attenuator. Memoryless. where k is some real constant. Integrator. System with memory Liear Time-Ivaria Sysems (LTI Sysems) Oulie Basic Sysem Properies Memoryless ad sysems wih memory (saic or dyamic) Causal ad o-causal sysems (Causaliy) Liear ad o-liear sysems (Lieariy) Sable ad o-sable

More information

NEWTON METHOD FOR DETERMINING THE OPTIMAL REPLENISHMENT POLICY FOR EPQ MODEL WITH PRESENT VALUE

NEWTON METHOD FOR DETERMINING THE OPTIMAL REPLENISHMENT POLICY FOR EPQ MODEL WITH PRESENT VALUE Yugoslav Joural of Operaios Research 8 (2008, Number, 53-6 DOI: 02298/YUJOR080053W NEWTON METHOD FOR DETERMINING THE OPTIMAL REPLENISHMENT POLICY FOR EPQ MODEL WITH PRESENT VALUE Jeff Kuo-Jug WU, Hsui-Li

More information

Chapter 5: The pn Junction

Chapter 5: The pn Junction Cher 5: The ucio Noequilibrium ecess crriers i semicoducors Crrier geerio d recombiio Mhemicl lysis of ecess crriers Ambiolr rsor The jucio Bsic srucure of he jucio Zero lied bis Reverse lied bis No-uiformly

More information

Some Newton s Type Inequalities for Geometrically Relative Convex Functions ABSTRACT. 1. Introduction

Some Newton s Type Inequalities for Geometrically Relative Convex Functions ABSTRACT. 1. Introduction Malaysia Joural of Mahemaical Scieces 9(): 49-5 (5) MALAYSIAN JOURNAL OF MATHEMATICAL SCIENCES Joural homepage: hp://eispem.upm.edu.my/joural Some Newo s Type Ieualiies for Geomerically Relaive Covex Fucios

More information

Sequence and Series of Functions

Sequence and Series of Functions 6 Sequece d Series of Fuctios 6. Sequece of Fuctios 6.. Poitwise Covergece d Uiform Covergece Let J be itervl i R. Defiitio 6. For ech N, suppose fuctio f : J R is give. The we sy tht sequece (f ) of fuctios

More information

Numerical Solution of Fuzzy Fredholm Integral Equations of the Second Kind using Bernstein Polynomials

Numerical Solution of Fuzzy Fredholm Integral Equations of the Second Kind using Bernstein Polynomials Jourl of Al-Nhri Uiversity Vol.5 (), Mrch,, pp.-9 Sciece Numericl Solutio of Fuzzy Fredholm Itegrl Equtios of the Secod Kid usig Berstei Polyomils Srmd A. Altie Deprtmet of Computer Egieerig d Iformtio

More information

An interesting result about subset sums. Nitu Kitchloo. Lior Pachter. November 27, Abstract

An interesting result about subset sums. Nitu Kitchloo. Lior Pachter. November 27, Abstract A ieresig resul abou subse sums Niu Kichloo Lior Pacher November 27, 1993 Absrac We cosider he problem of deermiig he umber of subses B f1; 2; : : :; g such ha P b2b b k mod, where k is a residue class

More information

Schrödinger Equation Via Laplace-Beltrami Operator

Schrödinger Equation Via Laplace-Beltrami Operator IOSR Jourl of Mthemtics (IOSR-JM) e-issn: 78-578, p-issn: 39-765X. Volume 3, Issue 6 Ver. III (Nov. - Dec. 7), PP 9-95 www.iosrjourls.org Schrödiger Equtio Vi Lplce-Beltrmi Opertor Esi İ Eskitşçioğlu,

More information

Basic Results in Functional Analysis

Basic Results in Functional Analysis Preared by: F.. ewis Udaed: Suday, Augus 7, 4 Basic Resuls i Fucioal Aalysis f ( ): X Y is coiuous o X if X, (, ) z f( z) f( ) f ( ): X Y is uiformly coiuous o X if i is coiuous ad ( ) does o deed o. f

More information

Department of Mathematical and Statistical Sciences University of Alberta

Department of Mathematical and Statistical Sciences University of Alberta MATH 4 (R) Wier 008 Iermediae Calculus I Soluios o Problem Se # Due: Friday Jauary 8, 008 Deparme of Mahemaical ad Saisical Scieces Uiversiy of Albera Quesio. [Sec.., #] Fid a formula for he geeral erm

More information

Green s Function Approach to Solve a Nonlinear Second Order Four Point Directional Boundary Value Problem

Green s Function Approach to Solve a Nonlinear Second Order Four Point Directional Boundary Value Problem IOSR Jourl of Mthemtics (IOSR-JM) e-issn: 78-578, p-issn: 39-765X. Volume 3, Issue 3 Ver. IV (My - Jue 7), PP -8 www.iosrjourls.org Gree s Fuctio Approch to Solve Nolier Secod Order Four Poit Directiol

More information

Hyperbolic Type Approximation for the Solutions of the Hyperbolic Heat Conduction Equation in 3-D Domain

Hyperbolic Type Approximation for the Solutions of the Hyperbolic Heat Conduction Equation in 3-D Domain Mhemicl d Compuiol Mehods i Applied Scieces Hperbolic pe Approimio or he Soluios o he Hperbolic He Coducio Equio i 3-D Domi BUIKIS ANDRIS KAIS HARIJS vi Uiversi Isiue o Mhemics d Compuer Sciece Ri bulv9

More information

Moment Generating Function

Moment Generating Function 1 Mome Geeraig Fucio m h mome m m m E[ ] x f ( x) dx m h ceral mome m m m E[( ) ] ( ) ( x ) f ( x) dx Mome Geeraig Fucio For a real, M () E[ e ] e k x k e p ( x ) discree x k e f ( x) dx coiuous Example

More information

Africa Research Journal

Africa Research Journal Afric Reserch Jourl 89 ISSN 99-696 Reserch Jourl of he Souh Afric Isiue of Elecricl Egieers Icorporig he SAIEE Trscios www.siee.org.z December 26 Volume 7 No. 4 9 SAIEE AFRICA RESEARCH JOURNAL SAIEE FOUNDED

More information

Fractional Order EOQ Model with Linear Trend of Time-Dependent Demand

Fractional Order EOQ Model with Linear Trend of Time-Dependent Demand I.J. Iellige Sysems d Applicios, 5,, -5 Published Olie Februry 5 i MES (hp://.mecs-press.org/ OI:.585/ijis.5..6 Frciol Order EOQ Model ih Lier red o ime-epede emd Asim Kumr s, p Kumr Roy eprme o Applied

More information

Chapter 25 Sturm-Liouville problem (II)

Chapter 25 Sturm-Liouville problem (II) Chpter 5 Sturm-Liouville problem (II Speer: Lug-Sheg Chie Reerece: [] Veerle Ledou, Study o Specil Algorithms or solvig Sturm-Liouville d Schrodiger Equtios. [] 王信華教授, chpter 8, lecture ote o Ordiry Dieretil

More information

Dynamic h-index: the Hirsch index in function of time

Dynamic h-index: the Hirsch index in function of time Dyamic h-idex: he Hirsch idex i fucio of ime by L. Egghe Uiversiei Hassel (UHassel), Campus Diepebeek, Agoralaa, B-3590 Diepebeek, Belgium ad Uiversiei Awerpe (UA), Campus Drie Eike, Uiversieisplei, B-260

More information

Approximately Quasi Inner Generalized Dynamics on Modules. { } t t R

Approximately Quasi Inner Generalized Dynamics on Modules. { } t t R Joural of Scieces, Islamic epublic of Ira 23(3): 245-25 (22) Uiversiy of Tehra, ISSN 6-4 hp://jscieces.u.ac.ir Approximaely Quasi Ier Geeralized Dyamics o Modules M. Mosadeq, M. Hassai, ad A. Nikam Deparme

More information

NATURAL TRANSFORM AND SOLUTION OF INTEGRAL EQUATIONS FOR DISTRIBUTION SPACES

NATURAL TRANSFORM AND SOLUTION OF INTEGRAL EQUATIONS FOR DISTRIBUTION SPACES Americ J o Mhemic d Sciece Vol 3 o - Jry 4 Copyrih Mid Reder Plicio ISS o: 5-3 ATURAL TRASFORM AD SOLUTIO OF ITERAL EQUATIOS FOR DISTRIBUTIO SPACES Deh Looker d P Berji Deprme o Mhemic Fcly o Sciece J

More information

Homotopy Analysis Method for Solving Fractional Sturm-Liouville Problems

Homotopy Analysis Method for Solving Fractional Sturm-Liouville Problems Ausralia Joural of Basic ad Applied Scieces, 4(1): 518-57, 1 ISSN 1991-8178 Homoopy Aalysis Mehod for Solvig Fracioal Surm-Liouville Problems 1 A Neamay, R Darzi, A Dabbaghia 1 Deparme of Mahemaics, Uiversiy

More information

Convergence rates of approximate sums of Riemann integrals

Convergence rates of approximate sums of Riemann integrals Jourl of Approximtio Theory 6 (9 477 49 www.elsevier.com/locte/jt Covergece rtes of pproximte sums of Riem itegrls Hiroyuki Tski Grdute School of Pure d Applied Sciece, Uiversity of Tsukub, Tsukub Ibrki

More information

f(bx) dx = f dx = dx l dx f(0) log b x a + l log b a 2ɛ log b a.

f(bx) dx = f dx = dx l dx f(0) log b x a + l log b a 2ɛ log b a. Eercise 5 For y < A < B, we hve B A f fb B d = = A B A f d f d For y ɛ >, there re N > δ >, such tht d The for y < A < δ d B > N, we hve ba f d f A bb f d l By ba A A B A bb ba fb d f d = ba < m{, b}δ

More information

SOLUTION OF SYSTEM OF LINEAR EQUATIONS. Lecture 4: (a) Jacobi's method. method (general). (b) Gauss Seidel method.

SOLUTION OF SYSTEM OF LINEAR EQUATIONS. Lecture 4: (a) Jacobi's method. method (general). (b) Gauss Seidel method. SOLUTION OF SYSTEM OF LINEAR EQUATIONS Lecture 4: () Jcobi's method. method (geerl). (b) Guss Seidel method. Jcobi s Method: Crl Gustv Jcob Jcobi (804-85) gve idirect method for fidig the solutio of system

More information