Numerical simulations of phase separation dynamics in a water oil surfactant system

Size: px
Start display at page:

Download "Numerical simulations of phase separation dynamics in a water oil surfactant system"

Transcription

1 Joural of Colloid ad Iterface Sciece wwwelsevierco/locate/jcis Nuerical siulatios of phase separatio dyaics i a water oil surfactat syste Juseo Ki Departet of Matheatics Doggu Uiversity Seoul Republic of Korea Received 10 May 006; accepted 1 July 006 Available olie 0 July 006 Abstract We have studied uerically the dyaics of the icrophase separatio of a water oil surfactat syste We developed a efficiet ad accurate uerical ethod for solvig the two-diesioal tie-depedet Gizburg Ladau odel with two order paraeters The uerical ethod is based o a coservative secod-order accurate ad iplicit fiite-differece schee The oliear discrete equatios were solved by usig a oliear ultigrid ethod There is at ost a first-order tie step costrait for stability We deostrated uerically the covergece of our schee ad preseted siulatios of phase separatio to show the efficiecy ad accuracy of the ew algorith 006 Elsevier Ic All rights reserved Keywords: Noliear ultigrid ethod; Surfactat; Phase separatio; Gizburg Ladau odel 1 Itroductio I a water oil surfactat syste oolayers of surfactat olecules for icroeulsios as a rado phase [1] Microeulsios show two types of orphology as follows I the syetric case of eve copositios of water ad oil the syste shows a cocotiuous etwor patter Fig 1a The droplet patter Fig 1b is foud i the asyetric case of ueve copositios of water ad oil The dyaics of icrophase separatio i a water oil surfactat syste has bee ivestigated uerically by usig the tie-depedet Gizburg Ladau TDGL odel [] I [3] the cell dyaical syste approach is used A Mote Carlo siulatio is used i [4] I[5] a hybrid odel is used which is a pheoeological sei-icroscopic odel where the biary ixture ad the surfactat are treated as a cotiuous field ad with discrete olecules respectively I this paper we preset a fiite-differece ethod for the solutio of the TDGL odel The Cra Nicolso ethod is applied to the teporal discretizatio The resultig fiitedifferece equatios are coservative secod-order accurate i E-ail address: cfdi@dogguedu URL: space ad tie ad solved by a efficiet ad accurate oliear ultigrid ethod A advatage of usig a oliear ultigrid ethod is that the schee is uch ore efficiet tha traditioal iterative solvers i solvig the oliear equatios at the iplicit tie step It is straightforward to exted a twodiesioal code to a three-diesioal oe ad to parallelize the serial code It is also atural to icorporate hydrodyaic effects such as surface tesio force gravity ad shear flow i this odel [6] The cotets of this paper are as follows: i Sectio we briefly review the goverig equatios I Sectio 3 we cosider a fully discrete sei-iplicit fiite-differece schee ad describe a oliear ultigrid V-cycle algorith for the TDGL syste Nuerical experiets such as a secod-order covergece test ad tests of the effects of paraeters o the phase separatio of the syste are perfored i Sectio 4 I Sectio 5 coclusios are give I additio we preset a future directio for this curret algorith The future pla is to icorporate hydrodyaic effects Goverig equatios The dyaics of icrophase separatio i icroeulsio systes ca be odeled by the followig TDGL odel with two order paraeters xt ad Φxt These paraeters /$ see frot atter 006 Elsevier Ic All rights reserved doi:101016/jjcis

2 JS Ki / Joural of Colloid ad Iterface Sciece Fig 1 Sapshot pictures of the syste obtaied by the coputer siulatios for a cocotiuous etwor ad b droplet/atrix patter describe the differece i the local desities of water ad oil ad the local cocetratio of surfactat at site x ad tie t respectively [3]: [ E Φ = FΦ D 1 sφ Ω D Φ Φ ] dx 1 FΦ= g 4 [ β νφ Φ ave ] λφ Φ ave where s g β ν λ ad D Φ are positive pheoeological paraeters ad Ω is the syste doai I E Φ theter sd Φ eergetically prefers a relatively high value of Φ at the iterface I FΦtheterλΦ Φ ave prevets surfactats fro forig clusters The ter νφ Φ ave eas the local couplig iteractios Notatios ave ad Φ ave correspod to the ad Φ field values averaged i space respectively The TDGL equatios i the coserved syste are writte explicitly as t = M 3 Φ = M Φ t 4 = FΦ D [1 sφ ] 5 = FΦ D Φ Φ D s Φ 6 where M Φ are the positive diffusioal obilities The boudary coditios for the TDGL syste are the zero Neua boudary coditios = Φ = = = 0 o Ω 0T 7 where is the oral vector to Ω Usig these boudary coditios we ca derive the followig equatio [7]: de Φ = M dt M Φ dx 8 Ω which eas the total eergy of the syste decreases with respect to tie 3 Nuerical solutio We first discretize the TDGL syste 3 6 i space Ω = [ab] [cd] Let[ab] ad [cd] be partitioed by a = x 1/ <x 3/ < <x Nx 1/ = b ad c = y 1/ <y 3/ < <y Ny 1/ = d For siplicity we assue the above partitios are uifor i both directios that is x i1/ x i 1/ = y j1/ y j 1/ = h = b a N x for 1 i N x 1 j N y Therefore x i1/ ad y j1/ ca be represeted as x i1/ = a ih ad y j1/ = c jh We deote by Ω h ={x i y j : 1 i N x 1 j N y } the set of cell cetered poits x i y j = x i 1/ x i1/ / y j 1/ y j1/ / For Neua boudary value probles it is atural to copute uerical solutios at cell ceters Let be approxiatios of x i y j We ipleet the zero Neua boudary coditios 7 by requirig that for exaple 0j = 1j Nx 1j = Nx j i0 = i1 iny 1 = iny for all i j We the defie the discrete Laplacia by the stadard five-poit stecil h = i 1j i1j /h Ny ad the discrete l Nx -or by =h i=1 j=1 The TDGL equatios 3 6 are itegrated with respect to tie usig the Cra Nicolso ethod: 1 1/ = M h 9

3 74 JS Ki / Joural of Colloid ad Iterface Sciece Φ 1 Φ 1/ 1/ 1/ = M Φ h = F1 Φ 1 D h [ 1 sφ 1 F Φ D h [ 1 sφ = F1 Φ 1 Φ e h 1 ] e h ] F Φ Φ D Φ h Φ 1 Φ D s c 1 h 1 c h where h e ad c h are cell-edge ad cell-ceter based discrete gradiets respectively ad are described i Eqs 16 ad A oliear ultigrid V-cycle algorith I this sectio we develop a oliear full approxiatio storage FAS ultigrid ethod to solve the oliear discrete syste at the iplicit tie level The oliearity is treated usig oe step of Newto s iteratio ad a poitwise Gauss Seidel relaxatio schee is used as the soother i the ultigrid ethod See Ref [8] for additioal details ad the followig otatios Let us rewrite Eqs 9 1 as follows: N 1 Φ 1 = s 1 s s 3 s 4 1/ 1/ 13 where the oliear syste operator N the left-had side of Eq 13 is defied as 1 M h 1/ 1/ Φ1 F1 Φ 1 D h [ 1 sφ 1 e h 1 ] 1/ F1 Φ 1 Φ D Φ h Φ 1 D s h c 1 1/ M Φ h ad the source ter the right-had side of Eq 13 is Φ F Φ D h [ 1 sφ e h ] F Φ Φ D Φ h Φ D s h c I the followig descriptio of oe FAS cycle we assue that a sequece of grids Ω Ω 1 is coarser tha Ω by factor Give the uber η of pre- ad postsoothig relaxatio sweeps a iteratio step for the oliear ultigrid ethod usig the V-cycle is forally writte as follows: FAS ultigrid cycle 1/ 1 Φ 1 = FAScycle Φ N s 1 s s 3 s 4 η 1/ 1/ 1/ That is { Φ 1/ 1/ } ad { 1 Φ 1 1/ 1/ } are the approxiatios of { 1 Φ 1 1/ 1/ } before ad after a FAScycle We ow defie the FAScycle 1 Presoothig 1/ Φ = SMOOTH η Φ N s 1 s s 3 s 4 1/ 1/ 1/ which eas perforig η soothig steps with the iitial approxiatios ad source ters to get the approxiatios { Φ 1/ 1/ } Oe SMOOTH relaxatio operator step cosists of solvig the syste give below by 4 4 atrix iversio for each : Φ 4M h = s 1 M h 1/ [ i 1j 1/ 4M Φ h = s M Φ h 1 1/ [ 1/ 1/ 1/ 1 ] 1/ 1 i 1j 1/ 1 ] 1/ i1j 1/ i1j 14 15

4 JS Ki / Joural of Colloid ad Iterface Sciece [ F Φ D h 4 s Φ i 1j Φi1j 4Φ Φ 1 ] Φ 1 F Φ Φ = s3 F Φ F Φ Φ Φ D h 1 s 1/ Φ [ 1 s Φ Φ i1j Φ i 1j Φ 1 s Φ Φ 1 1 s F Φ Φ Φ 1 Φ 1/ 4DΦ h F Φ i 1j 1 1 i1j ] F Φ Φ = s4 F Φ F Φ Φ Φ F Φ Φ Φ D Φ h Φ i1j Φ i 1j Φ 1 Φ 1 Φ 1 1 D s 8h i1j i 1j Copute the defect def 1 def def 3 def 4 = s 1 s s 3 s 4 1/ 1/ N Φ 3 Restrict the defect ad { Φ def 1 1 def 1 def 3 1 def 4 1 = I 1 def 1 def def 3 def 4 1/ 1 Φ 1 = I 1 1 1/ 1 1/ Φ / 1/ } 1/ The restrictio operator I 1 aps -level fuctios to the 1-level fuctios d 1 x i y j = I 1 d x i y j = 1 4[ d x i 1/ y j 1/ d x i 1/ y j1/ d x i1/ y j 1/ d x i1/ y j1/ ] Coarse grid values are obtaied by averagig the four earby fie grid values 4 Copute the right-had side s 1 1 s 1 s 3 1 s 4 1 = def1 1 def 1 def 3 1 def 4 1 1/ N 1 1 Φ 1 1 1/ 1 5 Copute a approxiate solutio { ˆ 1 ˆΦ 1 ˆ 1/ 1 ˆ 1/ 1 } of the coarse grid equatio o Ω 1 ie 1/ 1/ N 1 1 Φ 1 1 = s 1 1 s 1 s 3 1 s If = 1 we explicitly ivert a 4 4 atrix to obtai the solutio If >1 we solve Eq 18 by perforig a FAS -grid cycle usig { 1 Φ 1 } as a iitial approxiatio: ˆ 1 1 ˆΦ 1 1 = FAScycle ˆ 1/ 1 1/ 1 ˆ 1/ 1 1/ 1 1 Φ 1 1 1/ 1 1/ N 1 s1 1 s 1 s 3 1 s 4 1 η 1 6 Copute the coarse grid correctio CGC ˆv 1 1 = ˆ 1 1 ˆv 1/ 3 1 = ˆ 1/ 1 ˆv 1 = ˆΦ 1 Φ 1 ˆv 1/ 4 1 = ˆ 1/ 1 1/ 1 1/ 1 7 Iterpolate the correctio ˆv 1 ˆv ˆv 3 4 ˆv = I 1/ 1 ˆv 1 1 ˆv 1/ 1 ˆv 1/ 3 1 ˆv 1/ 4 1 The iterpolatio operator I 1 aps the 1-level fuctios to the -level fuctios Here the coarse values are siply trasferred to the four earby fie grid poits ie v x i y j = I 1 v 1x i y j = v 1 x i1/ y j1/ for i ad

5 76 JS Ki / Joural of Colloid ad Iterface Sciece j odd-ubered itegers The values at the other ode poits are give by v x i1 y j = v x i y j1 = v x i1 y j1 = v 1 x i1/ y j1/ where i ad j are odd-ubered itegers 8 Copute the corrected approxiatio o Ω after CGC = ˆv 1 1/ after CGC after CGC 1/ after CGC = Φ = Φ ˆv = 9 Postsoothig 1 Φ 1 = SMOOTH η 1/ after CGC 1/ 1/ Φ ˆv 1/ 3 ˆv 1/ 4 1/ after CGC 1/ after CGC 1/ after CGC N s1 s s 3 s 4 This copletes the descriptio of a oliear FAS cycle 4 Nuerical experiets I this sectio we describe how we perfored a covergece test of the proposed schee ad preset several siulatios of phase separatio Above all we ivestigate the effects of s ad λ o the phase separatio We also describe the surfactat dyaics diffusig ito a droplet iterfacial regio fro the outside 41 Covergece test of the proposed schee To obtai a estiate of the covergece rate we perfored a uber of siulatios for a saple proble o a set of icreasigly fier grids The iitial coditio is give by xy = 01 cos3x 04 cosy Φxy = o a doai Ω =[0 π] [0 π] The uerical solutios are coputed o the uifor grids h = π/ for = ad 7 The uifor tie steps = 01h g = 1 β = ν = 01 λ = 05 s = 01 D Φ = 005 ad M Φ = 1 are used to establish the covergece rates For each case the calculatios are ru to tie T = 01 I our forulatio of the ethod for the TDGL syste sice a cell-cetered grid is used we defie the error to be the discrete l -or of the differece betwee Table 1 l -Nor of the errors ad covergece rates Case 3 64 Rate Rate E E E 3 Φ 6155E E E 4 Fig The tie-depedet total eergy E Φ of the uerical solutios with the iitial data 19 that grid ad the average of the ext fier grid cells coverig it: def e h/ h = h h h h ij i 1j ij 1 / h 4 i 1j 1 The rate of covergece is defied as the ratio of successive errors: log eh/ h / e h / h 4 The errors ad rates of covergece are give i Table 1 The results suggest that the schee is ideed secod-order accurate I Fig the tie evolutio of the eergy E Φ with sae iitial data 19 is show As expected fro Eq 8 thetotal eergy is oicreasig ad teds to a costat value 4 Spiodal decopositio with off-critical quech We begi the uerical experiets with a exaple of spiodal phase separatio of a terary ixture Here we cosider the effect of λ i the ter λφ Φ ave i Eq For the iitial coditio we tae radoly perturbed cocetratio fields: xy = ave 001radx y Φxy = Φ ave 001radx y 0 where the rado uber fuctio radx y isi[ 1 1] ad has zero ea The ave Φ ave sets are chose as 0 03 The coputatioal doai usig a spatial esh of

6 JS Ki / Joural of Colloid ad Iterface Sciece Fig 3 Colus a b ad colus c d show the tie evolutios of spatial patters of the ad Φ fields with λ = 05 ad λ = 005 respectively Dar area deotes the regio of positive values of i a ad higher values of Φ i b Ties are at t = ad is Ω =[0 π] [0 π] The uifor tie step = 01h g = 1 β = ν = 01 s = 05 D Φ = 005 ad M Φ = 1 are used I Fig 3 colus a b ad colus c d show the tie evolutio of the spatial patters of the ad Φ fields with λ = 05 ad λ = 005 respectively Dar area deotes the regio of positive values of i a ad higher values of Φ i b The ties are at t = ad 78 A oderate value of λ= 05 prevets the surfactats fro forig clusters as is show i Fig 3b However whe λ= 005 is too sall the surfactats cluster at soe regio ad chage the global dyaics as is show i Fig 3d Next we ivestigate the effect of s i the ter sd Φ i Eq 1 The iitial cofiguratios of the ad Φ fields are chose to be radoly distributed as i Eq 0 with the ave Φ ave = values All other paraeters are the sae as before except λ= 05IFig 4 colus a b ad colus c d show the tie evolutio of spatial patters of the ad Φ fields with s = 005 ad s = 05 respectively The ties are at t = ad 78 The ter sd Φ i Eq 1 eergetically prefers a relatively high value of Φ at the iterface Oe ca see this pheoeo fro Figs 4b ad 4d At the higher value of s= 05 ore surfactat accuulates at the iterface tha i the case of s= Quatitative result doai growth rate We ivestigate quatitatively the coarseig aer observed i uerical siulatios The growth of the ordered doais is easured through the average doai size calculated as the iverse of the first oet of the circularly averaged structure factor [5] Aother reliable easure of the characteristic legth is the average radius of gyratio of the droplets sice the droplets are foud to be circular i the siulatio [9]We use the weighted average radius Rt = i=1 R i i=1 R i R i = Si π where S i is the droplet area ad is the total uber of droplets at tie t The coputatioal doai is Ω =[0 40π] [0 40π] ad the esh size is with tie step = 01h All the other paraeters are the sae as i the previous cases except ave Φ ave = ad s= 05 To obtai a averaged behavior te siulatios are ru with idetical coditios except for the seed of the rado uber I Fig 5 we show the characteristic doai size Rt as a fuctio of tie t The otatio deotes a average over 10 differet iitial rado coditios O a log log plot the growth appears to be slower tha the Lifshitz Slyozov growth

7 78 JS Ki / Joural of Colloid ad Iterface Sciece Fig 4 Colus a b ad colus c d show the tie evolutios of spatial patters of the ad Φ fields with s = 005 ad s = 05 respectively The ave Φ ave sets are chose as Ties are at t = ad Diffusio of surfactat ito the droplet iterfacial regio Fig 5 Tie evolutio of the ea droplet size Rt is show o a logarithic-scale plot The straight lie has slope 1/3 ad correspods to the Lifshitz Slyozov growth law The dash dot lie has slope 1/35 law Rt t 1/3 We observe a slight decrease i the expoet Rt t 1/35 This fidig is cosistet with previous results [1011] For exaple previous results usig a lattice gas odel have show that the surfactat slows dow the growth [11] Fially we discuss the diffusio of the surfactat ito the droplet iterfacial regio We have a iitial coditio as follows: xy = tah 1 x π y π 05 D Φxy = 05 1 tah 1 x y 05 D Φ The coputatioal doai usig a spatial esh of is Ω =[0 π] [0 π] The uifor tie step = 03h g = 1 β = ν = 001 s = 0 λ = 5 D Φ = 001 ad M Φ = 1 are used Fig 6 shows the tie evolutio of the surfactat diffusio ito the droplet iterfacial regio The ties are at t = ad 469 fro left to right ad top to botto order Iitially there are a droplet i the ceter of the doai ad oe quarter of dis of surfactat at the left botto corer As the tie goes o the surfactat cocetratio diffuses to the bul regio ad accuulates at the iterfacial regio of the droplet 5 Coclusios We have preseted a uerical ethod for solvig the TDGL odel The uerical schee is fiite differece ad is

8 JS Ki / Joural of Colloid ad Iterface Sciece Fig 6 Surfactat diffusio ito the droplet iterfacial regio Dotted circles are iterfacial regio ad filled cotour lies are surfactat cocetratio The higher value of cocetratio is the darer color is The ties are at t = ad 469 fro left to right ad top to botto order solved by a efficiet ad accurate oliear ultigrid ethod Nuerical experiets showed that the schee is secod-order i both space ad tie ad has oly a first-order tie step restrictio We have studied the effects of paraeters λ ad s o the dyaics of phase separatio for a water oil surfactat syste A oderate value of λ prevets the surfactats fro forig clusters Whe λ is too sall the surfactats cluster at soe regio This clusterig chages the global dyaics At a higher value of s ore surfactat accuulates at the iterface tha at a lower value of s We also described diffusio of surfactat ito the statioary droplet iterfacial regio We view the wor preseted here as preparatory for a study of three copoet liquids such as two iiscible fluids ad oe surfactat syste with hydrodyaics I a copaio paper [1] we will describe couplig the terary TDGL odel to the equatios of fluid flow Navier Stoes equatios to siulate the hydrodyaics of flows cosistig of three copoets Such a syste is govered by u = 0 ρu t u u = p [η u u T ] αd σφ ρg u = M t Φ t = FΦ D [1 sφ ] u Φ = M Φ = FΦ D Φ Φ D s Φ where u is the velocity ρ is the desity η is the viscosity p is the pressure α is a costat σφ is the surface tesio coefficiet ad g is the gravity vector The ter αd σφ accouts for the iterfacial capillary force Acowledget This wor is supported by the Doggu Uiversity Research Fud Refereces [1] S Koura H Seto T Taeda M Nagao Y Ito M Iai J Che Phys [] T Teraoto F Yoezawa J Colloid Iterface Sci [3] S Koura H Kodaa Phys Rev E [4] T Kawaatsu K Kawasai J Colloid Iterface Sci [5] T Kawaatsu K Kawasai M Furusaa H Oabayashi T Kaaya J Che Phys [6] JS Ki JS Lowegrub Iterfaces Free Boud [7] Q Du RA Nicolaides SIAM J Nuer Aal [8] U Trotteberg C Oosterlee A Schüller MULTIGRID Acadeic Press 001 [9] A Charabarti R Toral JD Guto Phys Rev E [10] AN Eerto PV Coveey BM Boghosia Phys Rev E [11] FWJ Weig PV Coveey BM Boghosia Phys Rev E [1] JS Ki i preparatio

Define a Markov chain on {1,..., 6} with transition probability matrix P =

Define a Markov chain on {1,..., 6} with transition probability matrix P = Pla Group Work 0. The title says it all Next Tie: MCMC ad Geeral-state Markov Chais Midter Exa: Tuesday 8 March i class Hoework 4 due Thursday Uless otherwise oted, let X be a irreducible, aperiodic Markov

More information

The Hypergeometric Coupon Collection Problem and its Dual

The Hypergeometric Coupon Collection Problem and its Dual Joural of Idustrial ad Systes Egieerig Vol., o., pp -7 Sprig 7 The Hypergeoetric Coupo Collectio Proble ad its Dual Sheldo M. Ross Epstei Departet of Idustrial ad Systes Egieerig, Uiversity of Souther

More information

Acoustic Field inside a Rigid Cylinder with a Point Source

Acoustic Field inside a Rigid Cylinder with a Point Source Acoustic Field iside a Rigid Cylider with a Poit Source 1 Itroductio The ai objectives of this Deo Model are to Deostrate the ability of Coustyx to odel a rigid cylider with a poit source usig Coustyx

More information

Lecture 19. Curve fitting I. 1 Introduction. 2 Fitting a constant to measured data

Lecture 19. Curve fitting I. 1 Introduction. 2 Fitting a constant to measured data Lecture 9 Curve fittig I Itroductio Suppose we are preseted with eight poits of easured data (x i, y j ). As show i Fig. o the left, we could represet the uderlyig fuctio of which these data are saples

More information

Exercise 8 CRITICAL SPEEDS OF THE ROTATING SHAFT

Exercise 8 CRITICAL SPEEDS OF THE ROTATING SHAFT Exercise 8 CRITICA SEEDS OF TE ROTATING SAFT. Ai of the exercise Observatio ad easureet of three cosecutive critical speeds ad correspodig odes of the actual rotatig shaft. Copariso of aalytically coputed

More information

ECE 901 Lecture 4: Estimation of Lipschitz smooth functions

ECE 901 Lecture 4: Estimation of Lipschitz smooth functions ECE 9 Lecture 4: Estiatio of Lipschitz sooth fuctios R. Nowak 5/7/29 Cosider the followig settig. Let Y f (X) + W, where X is a rado variable (r.v.) o X [, ], W is a r.v. o Y R, idepedet of X ad satisfyig

More information

The Differential Transform Method for Solving Volterra s Population Model

The Differential Transform Method for Solving Volterra s Population Model AASCIT Couicatios Volue, Issue 6 Septeber, 15 olie ISSN: 375-383 The Differetial Trasfor Method for Solvig Volterra s Populatio Model Khatereh Tabatabaei Departet of Matheatics, Faculty of Sciece, Kafas

More information

Integrals of Functions of Several Variables

Integrals of Functions of Several Variables Itegrals of Fuctios of Several Variables We ofte resort to itegratios i order to deterie the exact value I of soe quatity which we are uable to evaluate by perforig a fiite uber of additio or ultiplicatio

More information

Bertrand s postulate Chapter 2

Bertrand s postulate Chapter 2 Bertrad s postulate Chapter We have see that the sequece of prie ubers, 3, 5, 7,... is ifiite. To see that the size of its gaps is ot bouded, let N := 3 5 p deote the product of all prie ubers that are

More information

Orthogonal Functions

Orthogonal Functions Royal Holloway Uiversity of odo Departet of Physics Orthogoal Fuctios Motivatio Aalogy with vectors You are probably failiar with the cocept of orthogoality fro vectors; two vectors are orthogoal whe they

More information

Chapter 2. Asymptotic Notation

Chapter 2. Asymptotic Notation Asyptotic Notatio 3 Chapter Asyptotic Notatio Goal : To siplify the aalysis of ruig tie by gettig rid of details which ay be affected by specific ipleetatio ad hardware. [1] The Big Oh (O-Notatio) : It

More information

Lecture 11. Solution of Nonlinear Equations - III

Lecture 11. Solution of Nonlinear Equations - III Eiciecy o a ethod Lecture Solutio o Noliear Equatios - III The eiciecy ide o a iterative ethod is deied by / E r r: rate o covergece o the ethod : total uber o uctios ad derivative evaluatios at each step

More information

Binomial transform of products

Binomial transform of products Jauary 02 207 Bioial trasfor of products Khristo N Boyadzhiev Departet of Matheatics ad Statistics Ohio Norther Uiversity Ada OH 4580 USA -boyadzhiev@ouedu Abstract Give the bioial trasfors { b } ad {

More information

Supplementary Information

Supplementary Information Suppleetary Iforatio -Breakdow of cotiuu fracture echaics at the aoscale- Takahiro Shiada,,* Keji Ouchi, Yuu Chihara, ad Takayuki Kitaura Departet of echaical Egieerig ad Sciece, Kyoto Uiversity, Nishikyo-ku,

More information

Crank-Nicolson Implicit Method For The Nonlinear Schrodinger Equation With Variable Coefficient

Crank-Nicolson Implicit Method For The Nonlinear Schrodinger Equation With Variable Coefficient Crak-Nicolso Iplicit Method For The Noliear Schrodiger Equatio With Variable Coefficiet Yaa Yee Choy a Wooi Nee Ta b Ki Gaik Tay c ad Chee Tiog Og d a Faculty of Sciece Techology & Hua Developet Uiversiti

More information

International Journal of Mathematical Archive-4(9), 2013, 1-5 Available online through ISSN

International Journal of Mathematical Archive-4(9), 2013, 1-5 Available online through   ISSN Iteratioal Joural o Matheatical Archive-4(9), 03, -5 Available olie through www.ija.io ISSN 9 5046 THE CUBIC RATE OF CONVERGENCE OF GENERALIZED EXTRAPOLATED NEWTON RAPHSON METHOD FOR SOLVING NONLINEAR

More information

CO-LOCATED DIFFUSE APPROXIMATION METHOD FOR TWO DIMENSIONAL INCOMPRESSIBLE CHANNEL FLOWS

CO-LOCATED DIFFUSE APPROXIMATION METHOD FOR TWO DIMENSIONAL INCOMPRESSIBLE CHANNEL FLOWS CO-LOCATED DIFFUSE APPROXIMATION METHOD FOR TWO DIMENSIONAL INCOMPRESSIBLE CHANNEL FLOWS C.PRAX ad H.SADAT Laboratoire d'etudes Thermiques,URA CNRS 403 40, Aveue du Recteur Pieau 86022 Poitiers Cedex,

More information

Surveying the Variance Reduction Methods

Surveying the Variance Reduction Methods Available olie at www.scizer.co Austria Joural of Matheatics ad Statistics, Vol 1, Issue 1, (2017): 10-15 ISSN 0000-0000 Surveyig the Variace Reductio Methods Arash Mirtorabi *1, Gholahossei Gholai 2 1.

More information

AN EFFICIENT ESTIMATION METHOD FOR THE PARETO DISTRIBUTION

AN EFFICIENT ESTIMATION METHOD FOR THE PARETO DISTRIBUTION Joural of Statistics: Advaces i Theory ad Applicatios Volue 3, Nuber, 00, Pages 6-78 AN EFFICIENT ESTIMATION METHOD FOR THE PARETO DISTRIBUTION Departet of Matheatics Brock Uiversity St. Catharies, Otario

More information

Lecture 20 - Wave Propagation Response

Lecture 20 - Wave Propagation Response .09/.093 Fiite Eleet Aalysis of Solids & Fluids I Fall 09 Lecture 0 - Wave Propagatio Respose Prof. K. J. Bathe MIT OpeCourseWare Quiz #: Closed book, 6 pages of otes, o calculators. Covers all aterials

More information

Bernoulli Polynomials Talks given at LSBU, October and November 2015 Tony Forbes

Bernoulli Polynomials Talks given at LSBU, October and November 2015 Tony Forbes Beroulli Polyoials Tals give at LSBU, October ad Noveber 5 Toy Forbes Beroulli Polyoials The Beroulli polyoials B (x) are defied by B (x), Thus B (x) B (x) ad B (x) x, B (x) x x + 6, B (x) dx,. () B 3

More information

Fourth Order Positively Smoothed Padé Schemes. for Parabolic Partial Differential Equations with. Nonlocal Boundary Conditions

Fourth Order Positively Smoothed Padé Schemes. for Parabolic Partial Differential Equations with. Nonlocal Boundary Conditions Applied Matheatical Scieces, Vol. 4, 200, o. 42, 2065-2080 Fourth Order Positively Soothed Padé Schees for Parabolic Partial Differetial Equatios with Nolocal Boudary Coditios Mohaad Siddique Departet

More information

X. Perturbation Theory

X. Perturbation Theory X. Perturbatio Theory I perturbatio theory, oe deals with a ailtoia that is coposed Ĥ that is typically exactly solvable of two pieces: a referece part ad a perturbatio ( Ĥ ) that is assued to be sall.

More information

Uncertainty Principle of Mathematics

Uncertainty Principle of Mathematics Septeber 27 Ucertaity Priciple of Matheatics Shachter Mourici Israel, Holo ourici@walla.co.il Preface This short paper prove that atheatically, Reality is ot real. This short paper is ot about Heiseberg's

More information

Statistics and Data Analysis in MATLAB Kendrick Kay, February 28, Lecture 4: Model fitting

Statistics and Data Analysis in MATLAB Kendrick Kay, February 28, Lecture 4: Model fitting Statistics ad Data Aalysis i MATLAB Kedrick Kay, kedrick.kay@wustl.edu February 28, 2014 Lecture 4: Model fittig 1. The basics - Suppose that we have a set of data ad suppose that we have selected the

More information

Contents Two Sample t Tests Two Sample t Tests

Contents Two Sample t Tests Two Sample t Tests Cotets 3.5.3 Two Saple t Tests................................... 3.5.3 Two Saple t Tests Setup: Two Saples We ow focus o a sceario where we have two idepedet saples fro possibly differet populatios. Our

More information

A New Type of q-szász-mirakjan Operators

A New Type of q-szász-mirakjan Operators Filoat 3:8 07, 567 568 https://doi.org/0.98/fil7867c Published by Faculty of Scieces ad Matheatics, Uiversity of Niš, Serbia Available at: http://www.pf.i.ac.rs/filoat A New Type of -Szász-Miraka Operators

More information

We have also learned that, thanks to the Central Limit Theorem and the Law of Large Numbers,

We have also learned that, thanks to the Central Limit Theorem and the Law of Large Numbers, Cofidece Itervals III What we kow so far: We have see how to set cofidece itervals for the ea, or expected value, of a oral probability distributio, both whe the variace is kow (usig the stadard oral,

More information

Wavelet Transform Theory. Prof. Mark Fowler Department of Electrical Engineering State University of New York at Binghamton

Wavelet Transform Theory. Prof. Mark Fowler Department of Electrical Engineering State University of New York at Binghamton Wavelet Trasfor Theory Prof. Mark Fowler Departet of Electrical Egieerig State Uiversity of New York at Bighato What is a Wavelet Trasfor? Decopositio of a sigal ito costituet parts Note that there are

More information

A string of not-so-obvious statements about correlation in the data. (This refers to the mechanical calculation of correlation in the data.

A string of not-so-obvious statements about correlation in the data. (This refers to the mechanical calculation of correlation in the data. STAT-UB.003 NOTES for Wedesday 0.MAY.0 We will use the file JulieApartet.tw. We ll give the regressio of Price o SqFt, show residual versus fitted plot, save residuals ad fitted. Give plot of (Resid, Price,

More information

x !1! + 1!2!

x !1! + 1!2! 4 Euler-Maclauri Suatio Forula 4. Beroulli Nuber & Beroulli Polyoial 4.. Defiitio of Beroulli Nuber Beroulli ubers B (,,3,) are defied as coefficiets of the followig equatio. x e x - B x! 4.. Expreesio

More information

5.6 Binomial Multi-section Matching Transformer

5.6 Binomial Multi-section Matching Transformer 4/14/21 5_6 Bioial Multisectio Matchig Trasforers 1/1 5.6 Bioial Multi-sectio Matchig Trasforer Readig Assiget: pp. 246-25 Oe way to axiize badwidth is to costruct a ultisectio Γ f that is axially flat.

More information

Lebesgue Constant Minimizing Bivariate Barycentric Rational Interpolation

Lebesgue Constant Minimizing Bivariate Barycentric Rational Interpolation Appl. Math. If. Sci. 8, No. 1, 187-192 (2014) 187 Applied Matheatics & Iforatio Scieces A Iteratioal Joural http://dx.doi.org/10.12785/ais/080123 Lebesgue Costat Miiizig Bivariate Barycetric Ratioal Iterpolatio

More information

The heat equation. But how to evaluate: F F? T T. We first transform this analytical equation into the corresponding form in finite-space:

The heat equation. But how to evaluate: F F? T T. We first transform this analytical equation into the corresponding form in finite-space: L9_0/Cop. Astro.-, HS 0, Uiversität Basel/AAH The heat equatio T t T x. We first trasfor this aalytical equatio ito the correspodig for i fiite-space:.. t T δt T T F F F F F x x x x T T T F x But how to

More information

Application of Homotopy Analysis Method for Solving various types of Problems of Ordinary Differential Equations

Application of Homotopy Analysis Method for Solving various types of Problems of Ordinary Differential Equations Iteratioal Joural o Recet ad Iovatio Treds i Coputig ad Couicatio IN: 31-8169 Volue: 5 Issue: 5 16 Applicatio of Hootopy Aalysis Meod for olvig various types of Probles of Ordiary Differetial Equatios

More information

METHOD OF FUNDAMENTAL SOLUTIONS FOR HELMHOLTZ EIGENVALUE PROBLEMS IN ELLIPTICAL DOMAINS

METHOD OF FUNDAMENTAL SOLUTIONS FOR HELMHOLTZ EIGENVALUE PROBLEMS IN ELLIPTICAL DOMAINS Please cite this article as: Staisław Kula, Method of fudametal solutios for Helmholtz eigevalue problems i elliptical domais, Scietific Research of the Istitute of Mathematics ad Computer Sciece, 009,

More information

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j

The z-transform. 7.1 Introduction. 7.2 The z-transform Derivation of the z-transform: x[n] = z n LTI system, h[n] z = re j The -Trasform 7. Itroductio Geeralie the complex siusoidal represetatio offered by DTFT to a represetatio of complex expoetial sigals. Obtai more geeral characteristics for discrete-time LTI systems. 7.

More information

Chapter 4. Fourier Series

Chapter 4. Fourier Series Chapter 4. Fourier Series At this poit we are ready to ow cosider the caoical equatios. Cosider, for eample the heat equatio u t = u, < (4.) subject to u(, ) = si, u(, t) = u(, t) =. (4.) Here,

More information

Discrete population models

Discrete population models Discrete populatio odels D. Gurarie Ratioal: cclic (seasoal) tiig of reproductio ad developet, schroizatio Topics:. Reewal odels (Fiboacci). Discrete logistic odels (Verhulst vs. Ricker); cobwebs; equilibria,

More information

Most text will write ordinary derivatives using either Leibniz notation 2 3. y + 5y= e and y y. xx tt t

Most text will write ordinary derivatives using either Leibniz notation 2 3. y + 5y= e and y y. xx tt t Itroductio to Differetial Equatios Defiitios ad Termiolog Differetial Equatio: A equatio cotaiig the derivatives of oe or more depedet variables, with respect to oe or more idepedet variables, is said

More information

RAYLEIGH'S METHOD Revision D

RAYLEIGH'S METHOD Revision D RAYGH'S METHOD Revisio D B To Irvie Eail: toirvie@aol.co Noveber 5, Itroductio Daic sstes ca be characterized i ters of oe or ore atural frequecies. The atural frequec is the frequec at which the sste

More information

Question 1: The magnetic case

Question 1: The magnetic case September 6, 018 Corell Uiversity, Departmet of Physics PHYS 337, Advace E&M, HW # 4, due: 9/19/018, 11:15 AM Questio 1: The magetic case I class, we skipped over some details, so here you are asked to

More information

Finite element analysis of nonlinear structures with Newmark method

Finite element analysis of nonlinear structures with Newmark method Iteratioal Joural of the Physical Scieces Vol. 6(6), 95-40, 8 March, 0 Available olie at http://www.acadeicjourals.org/ijps ISSN 99-950 0 Acadeic Jourals Full Legth Research Paper Fiite eleet aalysis of

More information

The Binomial Multi-Section Transformer

The Binomial Multi-Section Transformer 4/15/2010 The Bioial Multisectio Matchig Trasforer preset.doc 1/24 The Bioial Multi-Sectio Trasforer Recall that a ulti-sectio atchig etwork ca be described usig the theory of sall reflectios as: where:

More information

Implicit Splitting Finite Difference Scheme for Multi-dimensional Wave Simulation

Implicit Splitting Finite Difference Scheme for Multi-dimensional Wave Simulation Iplicit Splittig Fiite Differece Schee for Multi-diesioal Wave Siulatio Houhu (Jaes Zhag, Yu Zhag, CGGVeritas, Housto Jaes Su, CGGVeritas, Sigapore Suar I this abstract, we propose a ew fiite-differece

More information

Some Examples on Gibbs Sampling and Metropolis-Hastings methods

Some Examples on Gibbs Sampling and Metropolis-Hastings methods Soe Exaples o Gibbs Saplig ad Metropolis-Hastigs ethods S420/620 Itroductio to Statistical Theory, Fall 2012 Gibbs Sapler Saple a ultidiesioal probability distributio fro coditioal desities. Suppose d

More information

Engineering Mechanics Dynamics & Vibrations. Engineering Mechanics Dynamics & Vibrations Plane Motion of a Rigid Body: Equations of Motion

Engineering Mechanics Dynamics & Vibrations. Engineering Mechanics Dynamics & Vibrations Plane Motion of a Rigid Body: Equations of Motion 1/5/013 Egieerig Mechaics Dyaics ad Vibratios Egieerig Mechaics Dyaics & Vibratios Egieerig Mechaics Dyaics & Vibratios Plae Motio of a Rigid Body: Equatios of Motio Motio of a rigid body i plae otio is

More information

Taylor expansion: Show that the TE of f(x)= sin(x) around. sin(x) = x - + 3! 5! L 7 & 8: MHD/ZAH

Taylor expansion: Show that the TE of f(x)= sin(x) around. sin(x) = x - + 3! 5! L 7 & 8: MHD/ZAH Taylor epasio: Let ƒ() be a ifiitely differetiable real fuctio. A ay poit i the eighbourhood of 0, the fuctio ƒ() ca be represeted by a power series of the followig form: X 0 f(a) f() f() ( ) f( ) ( )

More information

A collocation method for singular integral equations with cosecant kernel via Semi-trigonometric interpolation

A collocation method for singular integral equations with cosecant kernel via Semi-trigonometric interpolation Iteratioal Joural of Mathematics Research. ISSN 0976-5840 Volume 9 Number 1 (017) pp. 45-51 Iteratioal Research Publicatio House http://www.irphouse.com A collocatio method for sigular itegral equatios

More information

A numerical Technique Finite Volume Method for Solving Diffusion 2D Problem

A numerical Technique Finite Volume Method for Solving Diffusion 2D Problem The Iteratioal Joural Of Egieerig d Sciece (IJES) Volume 4 Issue 10 Pages PP -35-41 2015 ISSN (e): 2319 1813 ISSN (p): 2319 1805 umerical Techique Fiite Volume Method for Solvig Diffusio 2D Problem 1 Mohammed

More information

Energy Identities of ADI-FDTD Method with Periodic Structure

Energy Identities of ADI-FDTD Method with Periodic Structure Applied Matheatics 5 6 65-73 Published Olie Februar 5 i SciRes. http://www.scirp.org/oural/a http://d.doi.org/.436/a.5.65 erg Idetities of ADI-FDTD Method with Periodic Structure Regag Shi aitia Yag 3

More information

Probabilistic Analysis of Rectilinear Steiner Trees

Probabilistic Analysis of Rectilinear Steiner Trees Probabilistic Aalysis of Rectiliear Steier Trees Chuhog Che Departet of Electrical ad Coputer Egieerig Uiversity of Widsor, Otario, Caada, N9B 3P4 E-ail: cche@uwidsor.ca Abstract Steier tree is a fudaetal

More information

AE/ME 339 Computational Fluid Dynamics (CFD)

AE/ME 339 Computational Fluid Dynamics (CFD) AE/ME 339 Computatioal Fluid Dyamics (CFD 0//004 Topic0_PresCorr_ Computatioal Fluid Dyamics (AE/ME 339 Pressure Correctio Method The pressure correctio formula (6.8.4 Calculatio of p. Coservatio form

More information

Discrete-Time Systems, LTI Systems, and Discrete-Time Convolution

Discrete-Time Systems, LTI Systems, and Discrete-Time Convolution EEL5: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we begi our mathematical treatmet of discrete-time s. As show i Figure, a discrete-time operates or trasforms some iput sequece x [

More information

THE SOLUTION OF NONLINEAR EQUATIONS f( x ) = 0.

THE SOLUTION OF NONLINEAR EQUATIONS f( x ) = 0. THE SOLUTION OF NONLINEAR EQUATIONS f( ) = 0. Noliear Equatio Solvers Bracketig. Graphical. Aalytical Ope Methods Bisectio False Positio (Regula-Falsi) Fied poit iteratio Newto Raphso Secat The root of

More information

Math 4707 Spring 2018 (Darij Grinberg): midterm 2 page 1. Math 4707 Spring 2018 (Darij Grinberg): midterm 2 with solutions [preliminary version]

Math 4707 Spring 2018 (Darij Grinberg): midterm 2 page 1. Math 4707 Spring 2018 (Darij Grinberg): midterm 2 with solutions [preliminary version] Math 4707 Sprig 08 Darij Griberg: idter page Math 4707 Sprig 08 Darij Griberg: idter with solutios [preliiary versio] Cotets 0.. Coutig first-eve tuples......................... 3 0.. Coutig legal paths

More information

Statistics for Applications Fall Problem Set 7

Statistics for Applications Fall Problem Set 7 18.650. Statistics for Applicatios Fall 016. Proble Set 7 Due Friday, Oct. 8 at 1 oo Proble 1 QQ-plots Recall that the Laplace distributio with paraeter λ > 0 is the cotiuous probaλ bility easure with

More information

L 5 & 6: RelHydro/Basel. f(x)= ( ) f( ) ( ) ( ) ( ) n! 1! 2! 3! If the TE of f(x)= sin(x) around x 0 is: sin(x) = x - 3! 5!

L 5 & 6: RelHydro/Basel. f(x)= ( ) f( ) ( ) ( ) ( ) n! 1! 2! 3! If the TE of f(x)= sin(x) around x 0 is: sin(x) = x - 3! 5! aylor epasio: Let ƒ() be a ifiitely differetiable real fuctio. At ay poit i the eighbourhood of =0, the fuctio ca be represeted as a power series of the followig form: X 0 f(a) f() ƒ() f()= ( ) f( ) (

More information

PAPER : IIT-JAM 2010

PAPER : IIT-JAM 2010 MATHEMATICS-MA (CODE A) Q.-Q.5: Oly oe optio is correct for each questio. Each questio carries (+6) marks for correct aswer ad ( ) marks for icorrect aswer.. Which of the followig coditios does NOT esure

More information

PARTIAL DIFFERENTIAL EQUATIONS SEPARATION OF VARIABLES

PARTIAL DIFFERENTIAL EQUATIONS SEPARATION OF VARIABLES Diola Bagayoko (0 PARTAL DFFERENTAL EQUATONS SEPARATON OF ARABLES. troductio As discussed i previous lectures, partial differetial equatios arise whe the depedet variale, i.e., the fuctio, varies with

More information

ECE Spring Prof. David R. Jackson ECE Dept. Notes 20

ECE Spring Prof. David R. Jackson ECE Dept. Notes 20 ECE 6341 Sprig 016 Prof. David R. Jackso ECE Dept. Notes 0 1 Spherical Wave Fuctios Cosider solvig ψ + k ψ = 0 i spherical coordiates z φ θ r y x Spherical Wave Fuctios (cot.) I spherical coordiates we

More information

Reliability Equivalence Analysis of a Parallel-Series System Subject to Degradation Facility

Reliability Equivalence Analysis of a Parallel-Series System Subject to Degradation Facility Sciece Joural of Applied Mateatics ad Statistics 5; 3(3): 6-64 Publised olie Jue 6 5 (ttp://www.sciecepublisiggroup.co/j/sjas) doi:.648/j.sjas.533.9 ISSN: 376-949 (Prit); ISSN: 376-953 (Olie) Reliability

More information

Closed virial equation-of-state for the hard-disk fluid

Closed virial equation-of-state for the hard-disk fluid Physical Review Letter LT50 receipt of this auscript 6 Jue 00 Closed virial equatio-of-state for the hard-disk fluid Athoy Beris ad Leslie V. Woodcock Departet of Cheical Egieerig Colbur Laboratory Uiversity

More information

Mixture models (cont d)

Mixture models (cont d) 6.867 Machie learig, lecture 5 (Jaakkola) Lecture topics: Differet types of ixture odels (cot d) Estiatig ixtures: the EM algorith Mixture odels (cot d) Basic ixture odel Mixture odels try to capture ad

More information

Automated Proofs for Some Stirling Number Identities

Automated Proofs for Some Stirling Number Identities Autoated Proofs for Soe Stirlig Nuber Idetities Mauel Kauers ad Carste Scheider Research Istitute for Sybolic Coputatio Johaes Kepler Uiversity Altebergerstraße 69 A4040 Liz, Austria Subitted: Sep 1, 2007;

More information

Physics 324, Fall Dirac Notation. These notes were produced by David Kaplan for Phys. 324 in Autumn 2001.

Physics 324, Fall Dirac Notation. These notes were produced by David Kaplan for Phys. 324 in Autumn 2001. Physics 324, Fall 2002 Dirac Notatio These otes were produced by David Kapla for Phys. 324 i Autum 2001. 1 Vectors 1.1 Ier product Recall from liear algebra: we ca represet a vector V as a colum vector;

More information

Chapter 7: The z-transform. Chih-Wei Liu

Chapter 7: The z-transform. Chih-Wei Liu Chapter 7: The -Trasform Chih-Wei Liu Outlie Itroductio The -Trasform Properties of the Regio of Covergece Properties of the -Trasform Iversio of the -Trasform The Trasfer Fuctio Causality ad Stability

More information

BERNSTEIN-TYPE OPERATORS ON TETRAHEDRONS

BERNSTEIN-TYPE OPERATORS ON TETRAHEDRONS STUDIA UNIV. BABEŞ BOLYAI MATHEMATICA Volue LIV Nuber 4 Deceber 2009 BERNSTEIN-TYPE OPERATORS ON TETRAHEDRONS PETRU BLAGA TEODORA CĂTINAŞ AND GHEORGHE COMAN Abstract. The ai of the paper is to costruct

More information

distinct distinct n k n k n! n n k k n 1 if k n, identical identical p j (k) p 0 if k > n n (k)

distinct distinct n k n k n! n n k k n 1 if k n, identical identical p j (k) p 0 if k > n n (k) THE TWELVEFOLD WAY FOLLOWING GIAN-CARLO ROTA How ay ways ca we distribute objects to recipiets? Equivaletly, we wat to euerate equivalece classes of fuctios f : X Y where X = ad Y = The fuctios are subject

More information

Chapter 9 Computation of the Discrete. Fourier Transform

Chapter 9 Computation of the Discrete. Fourier Transform Chapter 9 Coputatio of the Discrete Fourier Trasfor Itroductio Efficiet Coputatio of the Discrete Fourier Trasfor Goertzel Algorith Deciatio-I-Tie FFT Algoriths Deciatio-I-Frequecy FFT Algoriths Ipleetatio

More information

19.1 The dictionary problem

19.1 The dictionary problem CS125 Lecture 19 Fall 2016 19.1 The dictioary proble Cosider the followig data structural proble, usually called the dictioary proble. We have a set of ites. Each ite is a (key, value pair. Keys are i

More information

Chapter 10: Power Series

Chapter 10: Power Series Chapter : Power Series 57 Chapter Overview: Power Series The reaso series are part of a Calculus course is that there are fuctios which caot be itegrated. All power series, though, ca be itegrated because

More information

April 1980 TR/96. Extrapolation techniques for first order hyperbolic partial differential equations. E.H. Twizell

April 1980 TR/96. Extrapolation techniques for first order hyperbolic partial differential equations. E.H. Twizell TR/96 Apri 980 Extrapoatio techiques for first order hyperboic partia differetia equatios. E.H. Twize W96086 (0) 0. Abstract A uifor grid of step size h is superiposed o the space variabe x i the first

More information

5.6 Binomial Multi-section Matching Transformer

5.6 Binomial Multi-section Matching Transformer 4/14/2010 5_6 Bioial Multisectio Matchig Trasforers 1/1 5.6 Bioial Multi-sectio Matchig Trasforer Readig Assiget: pp. 246-250 Oe way to axiize badwidth is to costruct a ultisectio Γ f that is axially flat.

More information

NICK DUFRESNE. 1 1 p(x). To determine some formulas for the generating function of the Schröder numbers, r(x) = a(x) =

NICK DUFRESNE. 1 1 p(x). To determine some formulas for the generating function of the Schröder numbers, r(x) = a(x) = AN INTRODUCTION TO SCHRÖDER AND UNKNOWN NUMBERS NICK DUFRESNE Abstract. I this article we will itroduce two types of lattice paths, Schröder paths ad Ukow paths. We will examie differet properties of each,

More information

The state space model needs 5 parameters, so it is not as convenient to use in this control study.

The state space model needs 5 parameters, so it is not as convenient to use in this control study. Trasfer fuctio for of the odel G θ K ω 2 θ / v θ / v ( s) = = 2 2 vi s + 2ζωs + ω The followig slides detail a derivatio of this aalog eter odel both as state space odel ad trasfer fuctio (TF) as show

More information

Double Derangement Permutations

Double Derangement Permutations Ope Joural of iscrete Matheatics, 206, 6, 99-04 Published Olie April 206 i SciRes http://wwwscirporg/joural/ojd http://dxdoiorg/04236/ojd2066200 ouble erageet Perutatios Pooya aeshad, Kayar Mirzavaziri

More information

G-2 Applied Computational Aerodynamics. G-1 Program THINFOIL

G-2 Applied Computational Aerodynamics. G-1 Program THINFOIL G-2 Applied Computatioal Aerodyamics G-1 Program THINFOIL THINFOIL solves Laplace s Equatio by fiite differeces usig a variety of iteratio methods. It was writte by Valery Razgoyaev. The iteratio optios

More information

On the Fibonacci-like Sequences of Higher Order

On the Fibonacci-like Sequences of Higher Order Article Iteratioal Joural of oder atheatical Scieces, 05, 3(): 5-59 Iteratioal Joural of oder atheatical Scieces Joural hoepage: wwwoderscietificpressco/jourals/ijsaspx O the Fiboacci-like Sequeces of

More information

Some remarks on the paper Some elementary inequalities of G. Bennett

Some remarks on the paper Some elementary inequalities of G. Bennett Soe rears o the paper Soe eleetary iequalities of G. Beett Dag Ah Tua ad Luu Quag Bay Vieta Natioal Uiversity - Haoi Uiversity of Sciece Abstract We give soe couterexaples ad soe rears of soe of the corollaries

More information

AVERAGE MARKS SCALING

AVERAGE MARKS SCALING TERTIARY INSTITUTIONS SERVICE CENTRE Level 1, 100 Royal Street East Perth, Wester Australia 6004 Telephoe (08) 9318 8000 Facsiile (08) 95 7050 http://wwwtisceduau/ 1 Itroductio AVERAGE MARKS SCALING I

More information

6.3 Testing Series With Positive Terms

6.3 Testing Series With Positive Terms 6.3. TESTING SERIES WITH POSITIVE TERMS 307 6.3 Testig Series With Positive Terms 6.3. Review of what is kow up to ow I theory, testig a series a i for covergece amouts to fidig the i= sequece of partial

More information

On Modeling On Minimum Description Length Modeling. M-closed

On Modeling On Minimum Description Length Modeling. M-closed O Modelig O Miiu Descriptio Legth Modelig M M-closed M-ope Do you believe that the data geeratig echais really is i your odel class M? 7 73 Miiu Descriptio Legth Priciple o-m-closed predictive iferece

More information

Sequences, Mathematical Induction, and Recursion. CSE 2353 Discrete Computational Structures Spring 2018

Sequences, Mathematical Induction, and Recursion. CSE 2353 Discrete Computational Structures Spring 2018 CSE 353 Discrete Computatioal Structures Sprig 08 Sequeces, Mathematical Iductio, ad Recursio (Chapter 5, Epp) Note: some course slides adopted from publisher-provided material Overview May mathematical

More information

IP Reference guide for integer programming formulations.

IP Reference guide for integer programming formulations. IP Referece guide for iteger programmig formulatios. by James B. Orli for 15.053 ad 15.058 This documet is iteded as a compact (or relatively compact) guide to the formulatio of iteger programs. For more

More information

An Alternative Scaling Factor In Broyden s Class Methods for Unconstrained Optimization

An Alternative Scaling Factor In Broyden s Class Methods for Unconstrained Optimization Joural of Mathematics ad Statistics 6 (): 63-67, 00 ISSN 549-3644 00 Sciece Publicatios A Alterative Scalig Factor I Broyde s Class Methods for Ucostraied Optimizatio Muhammad Fauzi bi Embog, Mustafa bi

More information

(s)h(s) = K( s + 8 ) = 5 and one finite zero is located at z 1

(s)h(s) = K( s + 8 ) = 5 and one finite zero is located at z 1 ROOT LOCUS TECHNIQUE 93 should be desiged differetly to eet differet specificatios depedig o its area of applicatio. We have observed i Sectio 6.4 of Chapter 6, how the variatio of a sigle paraeter like

More information

Q-BINOMIALS AND THE GREATEST COMMON DIVISOR. Keith R. Slavin 8474 SW Chevy Place, Beaverton, Oregon 97008, USA.

Q-BINOMIALS AND THE GREATEST COMMON DIVISOR. Keith R. Slavin 8474 SW Chevy Place, Beaverton, Oregon 97008, USA. INTEGERS: ELECTRONIC JOURNAL OF COMBINATORIAL NUMBER THEORY 8 2008, #A05 Q-BINOMIALS AND THE GREATEST COMMON DIVISOR Keith R. Slavi 8474 SW Chevy Place, Beaverto, Orego 97008, USA slavi@dsl-oly.et Received:

More information

x x x 2x x N ( ) p NUMERICAL METHODS UNIT-I-SOLUTION OF EQUATIONS AND EIGENVALUE PROBLEMS By Newton-Raphson formula

x x x 2x x N ( ) p NUMERICAL METHODS UNIT-I-SOLUTION OF EQUATIONS AND EIGENVALUE PROBLEMS By Newton-Raphson formula NUMERICAL METHODS UNIT-I-SOLUTION OF EQUATIONS AND EIGENVALUE PROBLEMS. If g( is cotiuous i [a,b], te uder wat coditio te iterative (or iteratio metod = g( as a uique solutio i [a,b]? '( i [a,b].. Wat

More information

EECS564 Estimation, Filtering, and Detection Hwk 2 Solns. Winter p θ (z) = (2θz + 1 θ), 0 z 1

EECS564 Estimation, Filtering, and Detection Hwk 2 Solns. Winter p θ (z) = (2θz + 1 θ), 0 z 1 EECS564 Estimatio, Filterig, ad Detectio Hwk 2 Sols. Witer 25 4. Let Z be a sigle observatio havig desity fuctio where. p (z) = (2z + ), z (a) Assumig that is a oradom parameter, fid ad plot the maximum

More information

On Bivariate Haar Functions and Interpolation Polynomial

On Bivariate Haar Functions and Interpolation Polynomial Joural of atheatics ad coputer sciece (24), -2 O Bivariate Haar Fuctios ad Iterpolatio Polyoial R. Dehgha, K. Rahsepar Fard Departet of Matheatics, Islaic Azad Uiversity, Masjed Soleia brach, Masjed Soleia,

More information

Fourier Series and the Wave Equation

Fourier Series and the Wave Equation Fourier Series ad the Wave Equatio We start with the oe-dimesioal wave equatio u u =, x u(, t) = u(, t) =, ux (,) = f( x), u ( x,) = This represets a vibratig strig, where u is the displacemet of the strig

More information

Optimal Estimator for a Sample Set with Response Error. Ed Stanek

Optimal Estimator for a Sample Set with Response Error. Ed Stanek Optial Estiator for a Saple Set wit Respose Error Ed Staek Itroductio We develop a optial estiator siilar to te FP estiator wit respose error tat was cosidered i c08ed63doc Te first 6 pages of tis docuet

More information

Lesson 03 Heat Equation with Different BCs

Lesson 03 Heat Equation with Different BCs PDE & Complex Variables P3- esso 3 Heat Equatio with Differet BCs ( ) Physical meaig (SJF ) et u(x, represet the temperature of a thi rod govered by the (coductio) heat equatio: u t =α u xx (3.) where

More information

Section A assesses the Units Numerical Analysis 1 and 2 Section B assesses the Unit Mathematics for Applied Mathematics

Section A assesses the Units Numerical Analysis 1 and 2 Section B assesses the Unit Mathematics for Applied Mathematics X0/70 NATIONAL QUALIFICATIONS 005 MONDAY, MAY.00 PM 4.00 PM APPLIED MATHEMATICS ADVANCED HIGHER Numerical Aalysis Read carefully. Calculators may be used i this paper.. Cadidates should aswer all questios.

More information

Løsningsførslag i 4M

Løsningsførslag i 4M Norges tekisk aturviteskapelige uiversitet Istitutt for matematiske fag Side 1 av 6 Løsigsførslag i 4M Oppgave 1 a) A sketch of the graph of the give f o the iterval [ 3, 3) is as follows: The Fourier

More information

Summer MA Lesson 13 Section 1.6, Section 1.7 (part 1)

Summer MA Lesson 13 Section 1.6, Section 1.7 (part 1) Suer MA 1500 Lesso 1 Sectio 1.6, Sectio 1.7 (part 1) I Solvig Polyoial Equatios Liear equatio ad quadratic equatios of 1 variable are specific types of polyoial equatios. Soe polyoial equatios of a higher

More information

CS 70 Second Midterm 7 April NAME (1 pt): SID (1 pt): TA (1 pt): Name of Neighbor to your left (1 pt): Name of Neighbor to your right (1 pt):

CS 70 Second Midterm 7 April NAME (1 pt): SID (1 pt): TA (1 pt): Name of Neighbor to your left (1 pt): Name of Neighbor to your right (1 pt): CS 70 Secod Midter 7 April 2011 NAME (1 pt): SID (1 pt): TA (1 pt): Nae of Neighbor to your left (1 pt): Nae of Neighbor to your right (1 pt): Istructios: This is a closed book, closed calculator, closed

More information

FUZZY RELIABILITY ANALYSIS OF COMPOUND SYSTEM BASED ON WEIBULL DISTRIBUTION

FUZZY RELIABILITY ANALYSIS OF COMPOUND SYSTEM BASED ON WEIBULL DISTRIBUTION IJAMML 3:1 (2015) 31-39 Septeber 2015 ISSN: 2394-2258 Available at http://scietificadvaces.co.i DOI: http://dx.doi.org/10.18642/ijal_7100121530 FUZZY RELIABILITY ANALYSIS OF COMPOUND SYSTEM BASED ON WEIBULL

More information

A Steady State Heat Conduction Problem in. a Thick Annular Disc Due to Arbitrary. Axisymmetric Heat Flux

A Steady State Heat Conduction Problem in. a Thick Annular Disc Due to Arbitrary. Axisymmetric Heat Flux Noliear Aalysis ad Differetial Equatios, Vol. 4, 016, o. 3, 11-131 HIKARI Ltd, www.-hikari.co http://dx.doi.org/10.1988/ade.016.51037 A Steady State Heat Coductio Proble i a Thick Aular Disc Due to Arbitrary

More information