NORMAL MODE ANALYSIS OF SECOND-ORDER PROJECTION METHODS FOR INCOMPRESSIBLE FLOWS. Jae-Hong Pyo and Jie Shen. (Communicated by Z.

Size: px
Start display at page:

Download "NORMAL MODE ANALYSIS OF SECOND-ORDER PROJECTION METHODS FOR INCOMPRESSIBLE FLOWS. Jae-Hong Pyo and Jie Shen. (Communicated by Z."

Transcription

1 DISCRETE AND CONTINUOUS Webite: DYNAMICAL SYSTEMS SERIES B Volume 5 Number 3 Augut 005 pp NORMAL MODE ANALYSIS OF SECOND-ORDER PROJECTION METHODS FOR INCOMPRESSIBLE FLOWS Jae-Hong Pyo and Jie Shen Department of Mathematic Purdue Univerity Wet Lafayette IN USA Communicated by Z. Zhang Abtract. A rigorou normal mode error analyi i carried out for two econd-order projection type method. It i hown that although the two cheme provide econd-order accuracy for the velocity in L -norm their accuracie for the velocity in H 1 -norm and for the preure in L -norm are different and only the conitent plitting cheme introduced in [6] provide full econd-order accuracy for all variable in their natural norm. The advantage and diadvantage of the normal mode analyi v. the energy method are alo elaborated. 1. Introduction. We conider the movement of an incompreible fluid inide Ω whoe velocity u and preure p are governed by the Navier-Stoe equation: t u + u u + p ν u = f in Ω [0 T ] u = 0 in Ω [0 T ] u Γ = 0 and u t=0 = u 0 in Ω 1.1 where for the ae of implicity a homogeneou Dirichlet boundary condition i aumed for u on Γ = Ω. One of the main numerical difficultie in olving 1.1 i that the velocity and the preure are coupled together through the incompreibility condition u = 0. The original projection method wa introduced by Chorin [] and Temam [16] in the late 60 to decouple the computation of velocity from the preure it quicly gained popularity in the computational fluid dynamic community and over the year an enormou amount of effort have been devoted to develop more accurate and efficient projection type cheme we refer to [5] for a comprehenive and up-to-date review on thi ubject. The numerical analyi of projection type method are uually carried out by uing an energy method ee for intance [14 1 5] and the reference therein or a normal mode analyi e.g. [ ]: the energy method i capable of providing rigorou etimate for general etting but often overloo particular error tructure of projection error; on the other hand the normal mode analyi i only applicable to very pecial domain uch a a periodic channel or a quarter plane but often reveal more precie information on the error behavior. 000 Mathematic Subject Claification. 65N35 76D05. Key word and phrae. Naiver-Stoe equation projection method Fractional tep method Incompreibility Normal Mode Analyi Spectral approximation. Partially upported by NSF Grant DMS

2 818 JAE-HONG PYO AND JIE SHEN We conider in thi paper two econd-order projection type cheme namely the rotational preure-correction cheme [7] and the conitent plitting cheme [6]. The error analyi of the firt cheme wa performed in [1] for a emi-infinite periodic trip uing a normal mode analyi for one normal mode only and in [7] for general domain uing an energy method. It i hown in [1] that the velocity and preure error are of econd-order but ince only one normal mode wa conidered it i not clear the etimate hold in which functional pace. A it i a well nown fact by now that the convergence rate of projection type cheme may differ if meaured in different norm. In fact it i hown in [7] that the preure approximation of thi cheme although more accurate than the tandard preure-correction cheme i only 3/-order accurate in L 0 T ; L Ω for general domain. On the other hand there i no tability and error analyi available for the econd-order conitent plitting method. The purpoe of thi paper are to carry out a ytematic and rigorou normal mode error analyi for the two method to clarify their different error behavior and to exemplify the advantage and hortcoming of normal mode analyi. In particular We prove that the conitent plitting cheme provide fully econd-order accuracy. The gauge method propoed by E and Liu [4] i another cla of projection type method. It firt-order verion ha been analyzed in [ ]. The original gauge method involve boundary condition which are not uitable for finite element Nochetto and Pyo contructed the finite element gauge-uzawa method in [9 13] and proved the convergence of the bacward Euler time dicrete gauge method by variational approach under realitic regularity of given data in [10 13]. However a far a we now no rigorou tability/error analyi i available for the econdorder verion of the gauge or gauge-uzawa method. It turn out that in the pace continuou cae the econd-order gauge or gauge-uzawa method i equivalent to the conitent plitting cheme. Hence we have alo proved that in the pecial etting conidered in thi paper the econd-order gauge and gauge-uzawa method with properly choen boundary condition are alo fully econd-order accurate. The ret of the paper i organized a follow. In we decribe the rotational form of preure-correction projection method Algorithm 1 and the conitent plitting method Algorithm and we compute the normal mode reference olution of a econd-order coupled cheme. We compare the reference olution with the normal mode olution of Algorithm 1 in 3 and Algorithm in 4 to etimate their convergence rate. Several intereting iue are addreed in Section 5.. The two cheme and the reference olution. In thi ection we decribe the rotational preure-correction cheme the conitent plitting cheme and a econd-order coupled cheme a the reference olution. For the ae of implicity the time derivative in thee cheme will be approximated by the econd-order bacward difference formula BDF. Since the treatment of the nonlinear term doe not contribute in any eential way to the error behavior we do not chooe any pecific treatment for the nonlinear term intead we imply aume g n+1 i a certain econd-order approximation of f u u at t = n + 1τ where τ i the time tep..1. Decription of the two cheme. The tandard preure-correction projection cheme wa propoed by Van Kan in [18]. It i well nown that it uffer from an artificial preure Neumann boundary condition. Hence we conider it rotational form which wa firt introduced in [17]:

3 NORMAL MODE ANALYSIS FOR PROJECTION TYPE METHODS 819 Algorithm 1 The Rotational Form of Preure-Correction Projection Method. Set initial value uing a uitable firt order projection method and repeat for n N = [ T τ 1]. Step 1: Find ũ n+1 a the olution of 3ũ n+1 4u n + u n 1 + p n ν ũ n+1 = g n+1 ũ n+1 Γ = 0. Step : Find ψ n+1 a the olution of ψ n+1 = 3 ũn+1 ν ψ n+1 Γ = 0 where ν i the unit outward normal vector. Step 3: Update u n+1 and p n+1 by: u n+1 = ũ n+1 3 ψn+1 p n+1 = ψ n+1 + p n ν ũ n In thi cheme the homogeneou Neumann boundary condition i impoed on a non-phyical variable ψ n+1 in.. Moreover by uing the identity ũ n+1 = u n+1 = u n+1 we find that u n+1 atifie 3u n+1 4u n + u n 1 + p n+1 ν u n+1 = g n+1 u n+1 = 0 u n+1 ν Γ = 0. Thu the preure p n+1 doe not uffer from the artificial boundary condition a in the tandard preure-correction cheme. A tated in the introduction the above cheme i till not fully econd-order accurate cf. [7]. Recently Guermond and Shen propoed the conitent plitting method in [6] and howed numerically that it econd-order verion i fully accurate. However no tability and error analyi i available. Below i a econd-order verion of the conitent plitting cheme baed on BDF: Algorithm The Conitent Splitting Method. Set initial value uing a uitable firt order projection method and repeat for n N = [ T τ 1]. Step 1: Find u n+1 a the olution of 3u n+1 4u n + u n 1 + p n p n 1 ν u n+1 = g n+1 u n+1 Γ = 0. Step : Find ψ n+1 a the olution of ψ n+1 = 3un+1 4u n + u n 1 ν ψ n+1 Γ = 0. Step 3: Update p n+1 by.4.5 p n+1 = ψ n+1 + p n p n 1 ν u n+1..6

4 80 JAE-HONG PYO AND JIE SHEN.. Normal Mode Analyi of the reference olution. Since we are concerned with normal mode analyi we hall retrict our attention to the following linearized Navier-Stoe equation on Ω = [ 1 1] [0 π]: t u + p = ν u in Ω 0 T ] u = 0 in Ω [0 T ] u±1 y t = 0 ux 0 t = ux π t x y t [ 1 1] [0 π [0 T ] u t=0 = u 0 in Ω..7 Although it i cutomary to chooe the olution of.7 a the reference olution ince we are only intereted in econd-order cheme we hall however ue the olution of the following econd-order coupled cheme a the reference olution: 3U n+1 4U n + U n 1 + P n+1 = ν U n+1 U n+1 = 0 U n+1 x=±1 = 0. It i obviou that.8 i a fully econd-order cheme. We write U n P n x y = Un P nxeiy and denote u := x x p u p := ip u := x u + iv.8 where u = u v. Then after a Fourier tranform in the y variable the problem.8 i reduced to a family indexed by of one-dimenional problem: 3U n+1 4U n + Un 1 U n+1 = 0 U n+1 x=±1 = 0. + P n+1 = ν U n+1.9 To implify the notation we hall drop the index when no confuion would occur and we aume that the olution of.9 tae the following normal mode form U n P n x = ρ n u px..10 Then.9 become an ODE ytem for u p: xu + 3ρ 4ρ + 1 νρ u = 1 ν p u = 0 Setting p = 0 u±1 = v±1 = 0. λ := + 3ρ 4ρ + 1 νρ and eliminating v and p from the firt equation in.11 we obtain.11 4 xu + λ xu + λu = 0 and u±1 = 0..1

5 NORMAL MODE ANALYSIS FOR PROJECTION TYPE METHODS 81 It can be eaily verified that the neceary condition for.1 to have a non-trivial olution are 0 and λ < 0. Hence we et µ = λ = + 3ρ 4ρ + 1 νρ.13 o that the olution of.1 are linear combination of co µx coh x ymmetric and in µx inh x anti-ymmetric. A imple calculation how that the ymmetric olution of.11 are of the form 0: coh x ux = co µx co µ coh vx = µ i in µx + 1 x co µinh i coh.14 px = + µ inh x ν co µ coh. The remaining condition v±1 = 0 lead to µ tan µ + tanh = It can be eaily een that for any given 0 there exit a unique olution µ of.15 on each open interval I := 1π +1π where Z with 0. We denote it a µ I. Note however that no olution exit in I 0. For each µ I let ρ I be the olution of.13. We find from.13 that 1 ρ I 3 1 and µ I + 1 ν..16 Hence the olution µ I of.15 may not be compatible with.13. In particular for any given τ > 0 there exit K τ > 0 uch that for > K τ there i no olution for From.13 1 ρ I =. ± 1 νµ I + One of them with the poitive ign before the quare root converge to 1 3 a τ 0 and hence correpond to the trivial olution in view of.10. Therefore we conclude 1 ρ I =. 1 νµ I + We denote the ymmetric olution.14 a u I = u I x v I x and p I x for each 0 and admiible interval I. Similarly the antiymmetric olution are given by inh x ux = in µx in µ inh vx = µ i co µx + 1 x in µcoh i inh.17 px = + µ coh x ν in µ inh.

6 8 JAE-HONG PYO AND JIE SHEN Since v±1 = 0 we find µ cot µ coth = 0. For any given 0 there exit a unique olution µ on each open interval J = { π + 1π 1 1π π 1.18 where Z with 0. We denote it a µ J. Note however that no olution exit in J 0 = π π. In view of.13 we have 1 ρ J 3 1 and µ J + 1 ν.19 1 ρ J =. 1 νµ J + We denote the antiymmetric olution.17 a u J p J x for each 0 and admiible interval J. In ummary the olution of.8 can be written a = u J x v J x and U n P n x y = α ρ n I u I p I x + β ρ n J u J p J x expiy.0 where α and β are determined by the normal mode expanion of the initial velocity namely: U 0 x y = α u I x + β u J x expiy..1 In view of.16 and.19 the maximum value of µ I µ J have to be bounded by 1 τ. Hence.0 i a finite erie for any given τ 0. One of the difficultie in the normal mode analyi rigorou i that the normal mode {u I u J } are not mutually orthogonal a the Fourier mode are. Hence we are led to mae the following aumption on U 0 x y and it derivative: Aumption 1. We aume that for certain m to be pecified later there exit a poitive contant M m independent of τ uch that α D γ 1 x u I xd γ y expiy γ 1 +γ m + β D γ 1 x u J xd γ y expiy. M m x y Ω. The above aumption enure that the normal mode expanion of U 0 and all it derivative of order up to m are abolutely convergent. Since. hold for all x y Ω one can hown that it can be equivalently repreented by γ 1γ m { γ 1 + µ γ I α + γ 1 + µ γ J β } M m.

7 NORMAL MODE ANALYSIS FOR PROJECTION TYPE METHODS Error analyi for the Rotational Preure-Correction Method. In thi ection we compute normal mode olution of Algorithm 1 and to etimate the error by comparing with the reference olution computed in.. Similarly a for the reference olution we write the olution of Algorithm 1 a u n ũ n ψ n p n x y = un ũn ψn pn xeiy. After eliminating ũ n+1 from.1 by uing.3 and performing a Fourier tranform in y we obtain a family of one-dimenional problem for u n ũn ψn pn : 3u n+1 p n+1 = 0 4u n + un 1 u n+1 = 0 3ũ n+1 4u n + un 1 ν u n+1 = p n+1 ν ũ n+1 = p n ψ n+1 = 3 ũ n+1 ũ n+1 ±1 t = ṽ n+1 ±1 t = u n+1 ±1 t = x ψ n+1 ±1 t = We hall temporarily drop the index and aume that olution of the above ytem tae the following normal mode form: u n ũ n p n x = ρ n û ũ px. Then 3.1 become an ODE ytem for û ũ p: xû + 3 ρ 4 ρ + 1 ρ û = 1 ν ν p p = 0 û = 0 x ũ + 3 ũ = 4 ρ 1 ν ρ ν û + 1 ρν p ψ = 3 ũ ũ±1 t = ṽ±1 t = û±1 t = x ψ±1 t = The procedure for olving 3. i eentially the ame a for the reference olution. The neceary condition for 3. to have non-trivial olution are 0 and that there exit a real number µ atifying µ = + 3 ρ 4 ρ + 1 ρ. 3.3 ν Let u denote λ := + 3 ν. 3.4

8 84 JAE-HONG PYO AND JIE SHEN Then the ymmetric olution of the ODE ytem 3. are coh x ûx = co µx co µ coh vx = µ i in µx + 1 i co µinh x coh ũx = co µx co µ coh x coh µ ṽx = i in µx + 1 x co µinh i coh 1 3 ρ 1 ρ 1 i 3 ρ 3 co µ px = µ + ψx = inh x ν co µ coh 3 ρ 1 ρ 1 ρ 3 co µ + 3 ρ 1 ρ 1 3 ρ 3 co µ 1 inh x coh λ inh x coh 1 λ inh λx coh λ inh λx. coh λ coh x coh coh λx coh λ 3.5 A econd relation between µ and ρ can be obtained by the condition ṽ±1 = 0: µ tan µ + tanh = 3 ρ 1 ρ 1 3 ρ 3 tanh λ tanh λ. 3.6 For any given 0 the relation 3.3 and 3.6 determine a unique olution µ I in each open interval I 0. In view of 3.3 we have ρ I and µ I + 1 ν. 3.7 Similarly a for the reference olution we find that for each µ I 3.3 determine a unique ρ I given by 1 ρ I = ν µ I + We will denote the olution in 3.5 a û I = û I v I ũ I = ũ I ṽ I p I and ψ I.

9 NORMAL MODE ANALYSIS FOR PROJECTION TYPE METHODS 85 Similarly the antiymmetric olution are given by inh x ûx = in µx in µ inh vx = µ i co µx + 1 i ũx = in µx in µ inh x inh in µcoh x inh µ ṽx = i co µx + 1 x in µcoh i inh 1 3 ρ 1 ρ 1 i 3 ρ 3 in µ px = µ + ψx = coh x ν in µ inh 3 ρ 1 ρ 1 ρ 3 in µ + 3 ρ 1 ρ 1 3 ρ 3 in µ 1 coh x inh λ coh x inh 1 λ coh λx inh λ coh λx. inh λ inh x inh inh λx inh λ 3.9 We determine from the condition ṽ±1 = 0 that 3 ρ 1 ρ 1 µ cot µ coth = 3 ρ 3 coth λ coth λ For any given 0 there i unique olution µ J of 3.10 in each open interval J 0. In view of 3.3 we have 1 ρ J 3 1 and µ J + 1 ν and 1 ρ J = ν µ J + We will denote the olution in 3.9 a û J = û J v J ũ J = ũ J ṽ J p J and ψ J. In ummary the normal mode olution of the Algorithm 1 can be written a u n ũ n p n = + α ρ n I û I ũ J p I x expiy β ρ n J û J ũ J p J x expiy. 3.1 Remar 3.1. We infer from 3.4 that λ Oντ 1. Hence ũ ṽ ψ in 3.5 and 3.9 exhibit a boundary layer of width Oντ 1 and we infer from 3.8 and 3.11 that it magnitude i of order Oντ. On the other hand it i clear that ũ ṽ p are free of any puriou term and the only error are related to µ µ which i hown below to be econd-order accurate. Remar 3. Initial Value. Since the pace panned by {u I u J } and {û I û J } are in general different it i impoible for Algorithm 1 to have the ame initial condition a the reference olution. Intead we hall aume that α and

10 86 JAE-HONG PYO AND JIE SHEN β are the ame a in the reference initial olution in.1 o the initial velocity for Algorithm 1 become u 0 = α û I x expiy + β û J x expiy. The lemma below indicate that the initial error will be of econd-order. Lemma 3.3. We have the following error bound: 8τ ν + 1 µ I µ I 3 1π 1 µ J µ J 8τ ν π 4 µ I + 4 µ J µ I µ I 8τ ν 3 µ J µ J 8τ ν µ I + 5 µ J and ρ I ρ I Cτ 3 ν 3 µ I ρ J ρ J Cτ 3 ν 3 µ J + 3. Proof. We hall only carry out the proof on the interval I = 1π +1π ince the etimate on J defined in.18 can be derived by the ame argument. Subtracting 3.6 from.15 we get µ I tan µ I µ I tan µ I = 3 ρ I 1 ρ I 1 3 ρ 3 tanh I λ I tanh λ We will firt bound the right hand ide of From 3.7 and 3.8 we obtain 1 ρ I ρ I = ν µ I + ν µ ν µ I + I On the other hand we infer from 3.4 that λ I which yield tanh λ I tanh λ I 1. Therefore in light of 3.3 and 3.17 we have 3 ρ I 1 ρ I 1 µ I tan µ I µ I tan µ I 3 ρ 3 I ντ 3 µ I + 1 ρ I ρ I 4τ ν µ I

11 NORMAL MODE ANALYSIS FOR PROJECTION TYPE METHODS 87 Let fx = x tanx. It can be eaily verified that f x+inx cox x = co x x on I. Since µ I and µ I I the mean value theorem and 3.18 yield µ I µ I 1π µ I tan µ I µ I tan µ I 8τ ν 3 1π µ I where we note 0. Since µ I + µ I + 1π we infer from 3.19 that µ I µ I = µ I + µ I µ I µ I 3.0 8τ ν µ I +. Since µ I +1 1 µ I the above two etimate imply 3.13 and Next we etimate ρ I ρ I. Since ρ I and ρ I we find by the mean value theorem that ρ I ρ I ln ρ I ln ρ I 3 A i 3.1 i=1 with A 1 := ln ρ I 3 ρ I 4 ρ I + 1 ρ I A := ln ρ I 3ρ I 4ρ I + 1 ρ I 3ρ I A 3 := 4ρ I + 1 ρ 3 ρ I 4 ρ I + 1 I ρ I. Uing the Taylor expanion ln ρ I = 1 n+1 n=1 n ρ I 1 n we can write A 1 a A 1 = ρ 3 ρ I 1 1 n+1 I 1 ρ ρ I 1 n 1 I n n=1 = ρ ρ I 1 ρ I 1 1 n+1 I 1 ρ ρ I 1 n 1 I n n= = ρ I 1 ρ I 1 1 n+1 ρ ρ I 1 n I n n=3 ρ = ρ I 1 3 I + 3 ρ I 3 1 n+1 6 ρ ρ I 1 n 3. I n n=4 3. Therefore 3.17 lead to A 1 Cτ 3 ν 3 µ I + 3.

12 88 JAE-HONG PYO AND JIE SHEN By the ame argument we obtain A Cτ 3 ν 3 µ I + 3. Subtracting 3.3 from.13 yield A 3 = ντµ I µ I which along with 3.0 lead to A 3 8τ 3 ν µ I +. In conjunction with µ I +1 1 µ I inerting above etimate on A i i = 1 3 into 3.1 yield 3.15 and conclude the proof. Theorem 3.4. Let U n P n and u n ũ n p n be repectively the olution of.8 and of Algorithm 1 and Suppoe Aumption 1 hold with m = 8. Then we have U n u n L Ω CM 7ν 3 τ P n p n L Ω CM 8ν τ 1 n N ũ n L Ω CM 4τ Proof. Let u denote the error function at time t = 0 by: E I := u I ũ I E J := u J ũ J e I := p I p I e J := p J p J. 3.4 We firt compare.14 and 3.5 on a fixed interval I. Uing the velocity error can be bounded by E I L Ω 1 C + µ I µ I µ I Cτ ν µ I + 3. Similarly the preure error can be bounded by e I L Ω Cν µ I + µ µ I I µ I + µ I Cτ ν 3 µ I + 3. Since ρ J and ρ I the mean value theorem lead to ρ n I ρ n I n ρ I ρ I. So 3.15 lead to note nτ T : ρ n I ρ n I n ρ I ρ I Cτ ν 3 µ I + 3. The error E J ρ n J ρ n J and ej can be etimated in a imilar fahion. We now compute the error of Algorithm 1 by comparing 3.1 with.0 and uing the above three inequalitie. Since we have ρ I and u I L Ω C 1 + µ I we can derive U n u n L Ω α expiy ρ n I ρ n I u I + ρ n L I E I Ω + β expiy ρ n J ρ n J u J + ρ n L J E J Ω Cτ ν 3 α µ I + 3 µ I + β µ J + 3 µ J CM 7 ν 3 τ.

13 NORMAL MODE ANALYSIS FOR PROJECTION TYPE METHODS 89 On the other hand uing p I C µ I + ν we can obtain P n p n L Ω α expiy ρ n I ρ n I p I + ρ n L I e I Ω + β expiy ρ n J ρ n J p J + ρ n L J e J Ω Cτ ν 4 α µ I β µ J + 4 CM 8 ν 4 τ. It remain to prove the lat inequality in 3.3. We compute ũ I from 3.5 and ue to get ũ L 3 ρ I 1 ρ I 1 λ I I Ω 3 ρ 3 I ν µ I + λ I λ I 3 τ 3 ν 3 µ I + 3 τ 3 ν 3 Similarly we can alo derive ũ L J 4 τ ν µ J Ω µ I 1 +. Then umming up the above two inequalitie for and yield 3.3. We note that 3.3 indicate that the divergence of ũ n i only 3 -order accurate. Conequently the error of ũ n in H 1 Ω i at mot 3 -order accurate. 4. Error analyi of the Conitent Splitting Method. Similarly a in the lat ection we compute normal mode olution of Algorithm and etimate the error by comparing with the reference olution in.. Writing the olution of Algorithm a u n ψ n p n x y = un ψn pn xeiy and performing a Fourier tranform in y we obtain a family of one-dimenional problem for u n ψn pn : 3u n+1 4u n + u n 1 ν u n+1 = p n p n 1 p n+1 = 0 ψ n+1 = 3un+1 4u n + u n 1 p n+1 = ψ n+1 + p n p n 1 ν u n+1 u n+1 ±1 t = v n+1 ±1 t = x ψ n+1 ±1 t = We hall temporarily drop the index and aume that olution of the above ytem tae the following normal mode form: u n p n ψ n x = ρ n û p ψx

14 830 JAE-HONG PYO AND JIE SHEN then 4.1 become xû + 3 ρ 4 ρ + 1 ρ ν û = ρ 1 ρ ν p p = 0 x ψ + 3 ρ 4 ρ ρ 1 ρ 13 ψ ρ = ν ρ 4 p ν û±1 t = v±1 t = x ψ±1 t = A before one can how that the neceary condition for 4. to have non-trivial olution are 0 and that there exit a poitive real number µ atifying The ymmetric olution of ODE ytem 4. are coh x ρ 1 ûx = co µx co µ coh ρ vx = µ i in µx + 1 i µ = + 3 ρ 4 ρ + 1 ρ. 4.3 ν co µinh x coh px = µ + inh x ν co µ coh ρ 1 µ ψx + = ρ ν µ The condition v±1 = 0 lead to which can be rearranged to Dividing both ide by + ρ 1 ρ in µx co µ ρ 1 µ tan µ + tanh = ρ co µx co µ coh x coh i µ in µx 1 x co µinh i coh inh x. coh µ tan µ tanh ρ µ + ρ 1 ρ µ µ tan µ = ρ 1 ρ tanh. ρ µ ρ µ + ρ 1 we obtain 4.4 µ tan µ + tanh = ρ 1 µ + ρ µ + ρ 1 tanh. 4.5 One can how that for any given 0 there i a unique olution µ I of 4.5 in each open interval I 0. In view of 4.3 we have 1 ρ I 3 1 and µ I + 1 ν. 4.6 We will denote the olution in 4.4 a û I = û I v I p I and ψ I.

15 NORMAL MODE ANALYSIS FOR PROJECTION TYPE METHODS 831 Similarly the antiymmetric olution of 4. are inh x ρ 1 ûx = in µx in µ inh ρ vx = µ i co µx + 1 i px = µ + ρ 1 ψx = in µcoh x inh coh x ν in µ inh µ + ρ ν µ in µx in µ ρ 1 ρ co µx + in µ We determine from the condition v±1 = 0 that ρ 1 µ cot µ coth = ρ µ which can be rearranged to Dividing both ide by inh x inh i µ co µx + 1 x in µcoh i inh coh x. inh cot µ + coth ρ µ + ρ 1 ρ µ µ cot µ = ρ 1 ρ coth. ρ µ ρ µ + ρ 1 we obtain 4.7 µ cot µ coth = ρ 1 µ ρ µ + ρ 1 coth. 4.8 For any 0 there i a unique olution µ J of 4.8 in each open interval J 0. In view of 4.3 we have 1 ρ J 3 1 and µ J + 1 ν. We will denote the olution in 4.7 a û J = û J v J p J and ψ J. Hence the normal mode olution of Algorithm can be written a u n p n = α ρ n I û I p I x expiy + β ρ n J û J p J x expiy 4.9 where α and β are given contant in the initial value expanion.1 ee Remar 3.. Remar 4.1. We note that contrary to Algorithm 1 ee Remar 3.1 there i no puriou boundary layer term in the approximation olution û v p in 4.4 and 4.7. Lemma 4.. We have the following error bound: µ I µ I 8τ ν µ I + 3 1π 1 µ I µ J µ J 8τ ν µ J + 3 π µ J 4.10

16 83 JAE-HONG PYO AND JIE SHEN 9 µ I µ I + 1 8τ ν µ I µ I 9 µ J µ J + 1 8τ ν µ I + 3 µ I 4.11 and ρ I ρ I Cτ 3 ν 3 µ I ρ J ρ J Cτ 3 ν 3 µ J + 3. Proof. We hall only carry out the proof on the interval I = 1π +1π ince the etimate on J defined in.18 can be derived by the ame argument. Subtracting 4.5 from.15 we obtain: µ I tan µ I µ I tan µ I = ρ I 1 µ I + ρ I µ I + ρ I 1 tanh Note that 3.17 i alo valid here. Since tanh 1 the right hand ide of 4.13 can be bounded by µ I tan µ I µ I tan µ I ρ I 1 µ I + ρ I µ I τ ν µ I + 3 µ. I Let fx = x tanx. It can be eaily verified that f x+inx cox x = co x x on I. Since µ I and µ I I the mean value theorem and 4.14 yield µ I µ I 1π µ I tan µ I µ I tan µ I 8τ ν µ I + 3 1π µ. I Note 0. Since µ I + µ I + 1π 4.15 lead u µ I µ I = µi + µ I µ I µ I 8τ ν + 1 µ I µ I In light of µ I +1 1 µ I the above two etimate imply 4.10 and Similarly a in the proof of Lemma 3.3 ρ I ρ I can be plit a in 3.1 and the etimate 3. i till valid for A 1 and A namely: A 1 Cτ 3 ν 3 µ I + 3 and A Cτ 3 ν 3 µ I + 3. Subtracting 4.3 from.13 lead to A 3 = ντµ I µ I and 4.16 lead to A 3 8τ 3 ν µ I µ. I Inerting above A 1 A and A 3 into 3.1 yield 4.1 which conclude the proof.

17 NORMAL MODE ANALYSIS FOR PROJECTION TYPE METHODS 833 Theorem 4.3. Let U n P n and u n ũ n p n be repectively the olution of.8 and of Algorithm and uppoe Aumption 1 hold with m = 8. Then we have U n u n L Ω CM 8ν 3 τ P n p n L Ω CM 8ν 3 τ 1 n N ũ n L Ω CM 6ν τ Proof. The proof i very imilar to that of Theorem 3.4. We ue the ame error function in 3.4 namely E I := u I ũ I E J := u J ũ J e I := p I p I e J := p J p J. We firt compare.14 and 4.4 on a fixed interval I. Uing the velocity error can be bounded by E I L Ω 1 C + µ I µ I µ I + C 1 + Cτ ν µ I + 4 µ I. µ I Similarly the preure error can be bounded by e I L Ω Cν µ I + µ µ I I µ I + µ I Cτ ν 3 µ I + 4 µ I. ρi 1 ρ I Since ρ J and ρ I which come from.19 and 4.6 the mean value theorem lead to ρ n I ρ n I n ρi ρ I. So 4.1 give u ρ n I ρ n I n ρi ρ I Cτ ν 3 µ I + 3. By the ame argument the above etimation hold for E J ρ n J ρ n J and e J. We now compute the error of Algorithm by comparing 4.9 with.0 and uing above three inequalitie. Since we have ρ I 1 C 1 + µ I 3 1 and u I L Ω U n u n L Ω α expiy ρ n I ρ n I u I + ρ n L I E I Ω + β expiy ρ n J ρ n J u J + ρ n L J E J Ω Cτ ν 3 α µ β I µ + 4 J CM 8 ν 3 τ.

18 834 JAE-HONG PYO AND JIE SHEN Uing p I C µ I + ν we can obtain P n p n L Ω α expiy ρ n I ρ n I p I + ρ n L I e I Ω + β expiy ρ n J ρ n J p J + ρ n L J e J Ω Cτ ν 3 α µ β I µ + 4 J CM 8 ν 3 τ. It remain to prove the lat inequality in We compute ũ I from 4.4 and then ue 4.3 and 3.17 to get ũ L ρ I 1 µ I I + Ω ρ I µ I τ ν µ I Similarly we can derive ũ 6 L + 1 J 4τ ν µ J Ω + 3. Summing up the above two etimate for and yield 4.17 which complete the proof. 5. Micellaneou iue Standard preure-correction cheme. We oberved that the normal mode analyi reveal explicit error tructure of Algorithm 1 and. It i alo intereting to tae a loo at a tandard preure-correction cheme the only difference of which with the rotational preure-correction cheme Algorithm 1 i that in the third tep.3 i replaced by u n+1 = ũ n+1 3 ψn+1 p n+1 = ψ n+1 + p n. 5.1 Similarly a for Algorithm 1 taing the Fourier tranform in the y variable in the Algorithm yield a family of one-dimenional problem indexed by Z; 3ũ n+1 4ũ n + ũ n 1 ν ũ n+1 = 1 3 7p n 5p n 1 + p n 3 ν p n+1 p n + p n+1 = 0 u n+1 = 0 u n+1 = ũ n+1 3 p n+1 p n ũ n+1 ±1 t = ṽ n+1 ±1 t = u n+1 ±1 t = x p n+1 ±1 t = 0. Auming the normal mode olution tae the form u n ũ n p n x = ρ n û ũ px

19 NORMAL MODE ANALYSIS FOR PROJECTION TYPE METHODS 835 we find that x ũ + 3 ρ 4 ρ + 1 ρ ν 3 ρ 1 ρ ν p + p = 0 û = 0 ũ = 7 ρ 5 ρ ρ 3 p ν 5. û = ũ 3 ρ 1 ρ p ũ±1 t = ṽ±1 t = û±1 t = x p±1 t = 0. Let u denote and µ = + 3 ρ 4 ρ + 1 ρ ν λ = + 3 ρ ν ρ 1. The ymmetric olution of the ODE ytem 5. are coh x ûx = co µx co µ coh vx = µ i in µx + 1 i co µinh x coh ũx = co µx co µ coh x coh µ ṽx = i in µx + 1 x co µinh i coh 1 3 ρ 1 ρ 1 i 3 ρ 3 co µ px = µ + inh x ν co µ + 3 ρ 1 ρ 1 3 ρ 3 co µ inh x coh λ coh + µ + λ in λx co λ in λx ν co µ co λ. coh x coh Since ṽx ha 0 on boundary x = ±1 we have 3 ρ 1 ρ 1 µ tan µ + tanh = tanh 3 ρ 3 λ tan λ. co λx co λ We note that the normal mode olution for a cheme which i eentially the ame a Algorithm but with BDF replaced by Cran-Nicholon wa obtained in [3]. Remar 5.1. It i clear that ρ 1 = Oντ a for other cheme o we have λ = Oντ 1. Hence a pointed out in [3] ũ ṽ p contain a puriou high ocillatory part with magnitude of order Oντ for ũ ṽ and of order Oντ for p.

20 836 JAE-HONG PYO AND JIE SHEN 5.. The Convergence of The Conitent Splitting Method in H 1 Ω by energy method. We note that the main difference between the error behavior of the Algorithm 1 and i that there i no puriou term in the olution of Algorithm while there i a puriou boundary layer term of width Oντ 1 in the olution of Algorithm 1 which reulted in a lo of 1 -order in the divergence of ũ n and conequently ũ n in Algorithm 1 can be at bet 3 -order accurate. A hown below the error etimate in Theorem 4.3 are ufficient to etablih econd-order velocity error etimate in H 1 Ω via energy etimate without any additional regularity aumption. We denote by the norm in L Ω and by the inner product in L Ω. Let ut n pt n be the exact olution of 1.1 at time tep t n. If u n p n i the olution of the Algorithm then we denote the correponding error by From Theorem 4.3 we have E n := ut n u n and e n := pt n p n. E n L Ω + en L Ω Cτ. 5.3 By virtue of Taylor expanion of 1.1 we have 3ut n+1 4ut n + ut n 1 + pt n pt n 1 ut n+1 = R n+1 + g n where R n+1 := 1 t n+1 τ t n+1 t u t n 1 ttt tdt + t n+1 t n+1 t p t n 1 tt tdt i the truncation error. Subtracting.4 from 5.4 yield 3E n+1 4E n + E n 1 E n+1 + e n e n 1 = R n We tae the inner product of 5.5 with 4τE n+1 to get 3E n+1 4E n + E n 1 E n+1 + 4τ E n+1 =4τ R n+1 e n e n 1 E n+1 τ e n e n 1 t n+1 + Cτ 4 t n 1 Uing the following algebraic identity u ttt t + p tt t dt + E n+1. 3a n+1 4a n + a n 1 a n+1 = a n+1 a n + a n+1 a n + a n 1 and umming up n from 1 to m implie E m+1 + E m+1 E m + E 1 + E 1 E 0 + τ t m+1 + Cτ a n+1 a n a n a n 1 m E n+1 E n + E n 1 + n=1 m e n e n 1 n=1 u ttt t + p tt t dt. m E n+1 n=1

21 NORMAL MODE ANALYSIS FOR PROJECTION TYPE METHODS 837 In conjunction with 5.3 the dicrete Gronwall lemma yield E m+1 + E m+1 E m m + E n+1 E n + E n 1 + Cτ 4 n=1 m E n+1 which implie that under the ame aumption of Theorem 4.3 we have additionally m τ ut n+1 u n+1 H 1 Ω Cτ 4 1 m N. n= The Gauge Method and The Gauge-Uzawa Method. The gauge formulation introduced by E and Liu in [4] conit of rewriting 1.1 in term of auxiliary vector field a and the gauge variable φ which atify u = a + φ. Upon replacing thi relation into the momentum equation in 1.1 we get a t + u u + φ t ν φ + p ν a = f. Setting p = φ t + ν φ we obtain the gauge formulation of 1.1: a t + u u ν a = f in Ω φ = a in Ω u = a + φ in Ω p = φ t + ν φ in Ω. To enforce the boundary condition u Γ = 0 a et of uitable boundary condition are ν φ Γ = 0 a ν Γ = 0 a τ Γ = τ φ where ν and τ are the unit vector in the normal and tangential direction repectively. We now introduce the BDF time dicretized gauge method [ ]. Algorithm 3 The Gauge Method. Set initial value uing a firt-order gauge method with φ 0 = 0 and repeat for n N = [ T τ 1]. Step 1: Find a n+1 a the olution of 3a n+1 4a n + a n 1 + ν a n+1 = g n+1 a n+1 ν Γ = 0 a n+1 τ Γ = τ φ n + τ φ n 1. Step : Find φ n+1 a the olution of φ n+1 = a n+1 Step 3: Update u n+1 by ν φ n+1 Γ = 0. n=1 5.6 u n+1 = a n+1 + φ n

22 838 JAE-HONG PYO AND JIE SHEN One may compute the preure p n+1 whenever neceary a p n+1 = 3φn+1 4φ n + φ n 1 + ν φ n Even though thi formulation i conitent with 1.1 the boundary condition a n+1 τ = τ φ n + τ φ n 1 i non-variational and thu difficult to implement within a finite element context epecially in three dimenional cae. To avoid the difficult aociated with the boundary differentiation the Gauge-Uzawa method wa deigned by Nochetto and Pyo in [9 13] by introducing an artificial velocity function ũ n+1 which vanihe on boundary: ũ n+1 = a n+1 + φ n φ n If we define ρ n+1 = φ n+1 φ n combining 5.7 and 5.9 yield We now inert 5.9 into 5.6 to obtain ũ n+1 = u n+1 ρ n+1 ρ n ũ n+1 4ũ n + ũ n 1 + p n p n 1 ν ũ n+1 = g n+1. Since u n+1 = 0 by taing the divergence of 5.10 we get ρ n+1 = ρ n + ũ n+1. In order to remove the variable φ n+1 we tae the difference between two conecutive tep of 5.8 to get p n+1 p n = 3ρn+1 4ρ n + ρ n 1 + ν ρ n+1. Hence a cheme equivalent to Algorithm i the following: Algorithm 4 The Gauge-Uzawa Method. Set initial value uing a firt-order Gauge-Uzawa method with ρ 0 = 0 and repeat for n N = [ T τ 1]. Step 1: Find ũ n+1 a the olution of 3ũ n+1 4ũ n + ũ n 1 + p n p n 1 ν ũ n+1 = g n+1 ũ n+1 Γ = 0. Step : Find ρ n+1 a the olution of { ρ n+1 = ρ n + ũ n+1 ν ρ n+1 Γ = 0. Step 3: Update u n+1 and p n+1 by u n+1 = ũ n+1 + ρ n+1 ρ n p n+1 = p n 3ρn+1 4ρ n + ρ n 1 + ν ρ n Note that it i not neceary to compute u n+1 in each time iteration for thi linearized problem. Since ũ n+1 0 while u n+1 = 0 it i adviable to compute u n+1 for the full Navier-Stoe equation to treat the convection term. Finally we how that Algorithm and 4 are equivalent.

23 NORMAL MODE ANALYSIS FOR PROJECTION TYPE METHODS 839 Remar 5. Equivalence of Algorithm and 4. Subtracting two conecutive preure equation in 5.11 and applying the Laplace operator we obtain p n+1 p n = p n p n 1 + 3ũn+1 4ũ n + ũ n 1 ν ũ n+1 which i exactly.5 and.6 in Algorithm. So we conclude that Algorithm and 4 are equivalent and conequently Algorithm 3 and 4 are alo fully econdorder accurate. 6. Concluding remar. We preented in thi paper a detailed and rigorou normal mode analyi for ome econd-order projection-type cheme. In particular it allowed u to etablih for the firt time but only in the pecial domain conidered here the tability and error analyi for the econd-order conitent plitting cheme. The main advantage of the normal mode analyi i that it reveal the particular error tructure uch a puriou boundary layer or puriou highly ocillatory term and their explicit dependence on the dynamic vicoity ν. It i important to note that the projection error decreae a ν decreae. Hence the projection-type cheme are particularly uitable for high Reynold number flow. The normal mode analyi for a ingle normal mode of a linear problem i relatively eay compared with the energy method. However a rigorou analyi which tae into account all normal mode which are not mutually orthogonal become tediouly complex even for linear problem. It alo require much higher regularity on the olution than the energy method doe. Although we have only conidered linear problem in thi paper but by combining the technique ued here and in [3] where the orthogonality of normal mode are implicitly aumed but in general doe not hold for nonlinear problem it can be hown that the error etimate etablihed in thi paper would hold for the fully nonlinear Navier-Stoe equation. Finally it i worthy repeating a already demontrated in [7] that the error etimate from a normal mode analyi on the pecial domain may not be valid in more general domain. REFERENCES [1] D.L. Brown R. Cortez and M.L. Minion Accurate projection method for the incompreible Navier-Stoe equation J. Comput. Phy no [] A.J. Chorin Numerical olution of the Navier-Stoe equation Math. Comp [3] W. E and J.-G. Liu Projection method. II. Godunov-Ryabeni analyi SIAM J. Numer. Anal no [4] W. E and J.-G. Liu Gauge method for vicou incompreible flow Int. J. Num. Meth [5] J.L. Guermond P. Minev and Jie Shen An overview of projection method for incompreible flow Inter. J. Numer. Method Eng. ubmitted. [6] J.L. Guermond and J. Shen A new cla of truly conitent plitting cheme for incompreible flow J. Comput. Phy [7] J.L. Guermond and J. Shen On the error etimate of rotational preure-correction projection method Math. Comput [8] G. E. Karniadai M. Iraeli and S. A. Orzag High-order plitting method for the incompreible Navier-Stoe equation J. Comput. Phy [9] R. Nochetto and J.-H. Pyo The Gauge-Uzawa finite element method part I : the Navier- Stoe equation SIAM J. Numer. Anal. to appear. [10] R. Nochetto and J.-H. Pyo Error etimate for emi-dicrete gauge method for the evolution Navier-Stoe equation Math. Comput

24 840 JAE-HONG PYO AND JIE SHEN [11] S. A. Orzag M. Iraeli and M. Deville Boundary condition for incompreible flow J. Sci. Comput [1] A. Prohl Projection and quai-compreibility method for olving the incompreible Navier- Stoe equation Advance in Numerical Mathematic. B. G. Teubner Stuttgart [13] J.-H. Pyo The Gauge-Uzawa and related projection finite element method for the evolution navier-toe equation Ph.D diertation at Univerity of Maryland 00. [14] Jie Shen On error etimate of the projection method for the Navier-Stoe equation: firt-order cheme SIAM J. Numer. Anal [15] J. C. Striwerda and Y. S. Lee The accuracy of the fractional tep method SIAM J. Numer. Anal no electronic. [16] R. Temam Sur l approximation de la olution de equation de Navier-Stoe par la methode de pa fractionnaire. II Arch. Rational Mech. Anal [17] L.J.P. Timmerman P.D. Minev and F.N. Van De Voe An approximate projection cheme for incompreible flow uing pectral element Int. J. Numer. Method Fluid [18] J. van Kan A econd-order accurate preure-correction cheme for vicou incompreible flow SIAM J. Sci. Statit. Comput no [19] C. Wang and J.-G. Liu Convergence of gauge method for incompreible flow Math. Comp no [0] B.R. Wetton Error analyi for Chorin original fully dicrete projection method and regularization in pace and time SIAM J. Numer. Anal Received September 004; revied January 005. URL: addre: pjh@math.purdue.edu URL: addre: hen@math.purdue.edu

One Class of Splitting Iterative Schemes

One Class of Splitting Iterative Schemes One Cla of Splitting Iterative Scheme v Ciegi and V. Pakalnytė Vilniu Gedimina Technical Univerity Saulėtekio al. 11, 2054, Vilniu, Lithuania rc@fm.vtu.lt Abtract. Thi paper deal with the tability analyi

More information

TRIPLE SOLUTIONS FOR THE ONE-DIMENSIONAL

TRIPLE SOLUTIONS FOR THE ONE-DIMENSIONAL GLASNIK MATEMATIČKI Vol. 38583, 73 84 TRIPLE SOLUTIONS FOR THE ONE-DIMENSIONAL p-laplacian Haihen Lü, Donal O Regan and Ravi P. Agarwal Academy of Mathematic and Sytem Science, Beijing, China, National

More information

A SIMPLE NASH-MOSER IMPLICIT FUNCTION THEOREM IN WEIGHTED BANACH SPACES. Sanghyun Cho

A SIMPLE NASH-MOSER IMPLICIT FUNCTION THEOREM IN WEIGHTED BANACH SPACES. Sanghyun Cho A SIMPLE NASH-MOSER IMPLICIT FUNCTION THEOREM IN WEIGHTED BANACH SPACES Sanghyun Cho Abtract. We prove a implified verion of the Nah-Moer implicit function theorem in weighted Banach pace. We relax the

More information

CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS

CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS 8.1 INTRODUCTION 8.2 REDUCED ORDER MODEL DESIGN FOR LINEAR DISCRETE-TIME CONTROL SYSTEMS 8.3

More information

7.2 INVERSE TRANSFORMS AND TRANSFORMS OF DERIVATIVES 281

7.2 INVERSE TRANSFORMS AND TRANSFORMS OF DERIVATIVES 281 72 INVERSE TRANSFORMS AND TRANSFORMS OF DERIVATIVES 28 and i 2 Show how Euler formula (page 33) can then be ued to deduce the reult a ( a) 2 b 2 {e at co bt} {e at in bt} b ( a) 2 b 2 5 Under what condition

More information

Lecture 17: Analytic Functions and Integrals (See Chapter 14 in Boas)

Lecture 17: Analytic Functions and Integrals (See Chapter 14 in Boas) Lecture 7: Analytic Function and Integral (See Chapter 4 in Boa) Thi i a good point to take a brief detour and expand on our previou dicuion of complex variable and complex function of complex variable.

More information

AMS 212B Perturbation Methods Lecture 20 Part 1 Copyright by Hongyun Wang, UCSC. is the kinematic viscosity and ˆp = p ρ 0

AMS 212B Perturbation Methods Lecture 20 Part 1 Copyright by Hongyun Wang, UCSC. is the kinematic viscosity and ˆp = p ρ 0 Lecture Part 1 Copyright by Hongyun Wang, UCSC Prandtl boundary layer Navier-Stoke equation: Conervation of ma: ρ t + ( ρ u) = Balance of momentum: u ρ t + u = p+ µδ u + ( λ + µ ) u where µ i the firt

More information

Unbounded solutions of second order discrete BVPs on infinite intervals

Unbounded solutions of second order discrete BVPs on infinite intervals Available online at www.tjna.com J. Nonlinear Sci. Appl. 9 206), 357 369 Reearch Article Unbounded olution of econd order dicrete BVP on infinite interval Hairong Lian a,, Jingwu Li a, Ravi P Agarwal b

More information

ON A CERTAIN FAMILY OF QUARTIC THUE EQUATIONS WITH THREE PARAMETERS

ON A CERTAIN FAMILY OF QUARTIC THUE EQUATIONS WITH THREE PARAMETERS ON A CERTAIN FAMILY OF QUARTIC THUE EQUATIONS WITH THREE PARAMETERS VOLKER ZIEGLER Abtract We conider the parameterized Thue equation X X 3 Y (ab + (a + bx Y abxy 3 + a b Y = ±1, where a, b 1 Z uch that

More information

A Constraint Propagation Algorithm for Determining the Stability Margin. The paper addresses the stability margin assessment for linear systems

A Constraint Propagation Algorithm for Determining the Stability Margin. The paper addresses the stability margin assessment for linear systems A Contraint Propagation Algorithm for Determining the Stability Margin of Linear Parameter Circuit and Sytem Lubomir Kolev and Simona Filipova-Petrakieva Abtract The paper addree the tability margin aement

More information

IEOR 3106: Fall 2013, Professor Whitt Topics for Discussion: Tuesday, November 19 Alternating Renewal Processes and The Renewal Equation

IEOR 3106: Fall 2013, Professor Whitt Topics for Discussion: Tuesday, November 19 Alternating Renewal Processes and The Renewal Equation IEOR 316: Fall 213, Profeor Whitt Topic for Dicuion: Tueday, November 19 Alternating Renewal Procee and The Renewal Equation 1 Alternating Renewal Procee An alternating renewal proce alternate between

More information

The Hassenpflug Matrix Tensor Notation

The Hassenpflug Matrix Tensor Notation The Haenpflug Matrix Tenor Notation D.N.J. El Dept of Mech Mechatron Eng Univ of Stellenboch, South Africa e-mail: dnjel@un.ac.za 2009/09/01 Abtract Thi i a ample document to illutrate the typeetting of

More information

ON A CERTAIN FAMILY OF QUARTIC THUE EQUATIONS WITH THREE PARAMETERS. Volker Ziegler Technische Universität Graz, Austria

ON A CERTAIN FAMILY OF QUARTIC THUE EQUATIONS WITH THREE PARAMETERS. Volker Ziegler Technische Universität Graz, Austria GLASNIK MATEMATIČKI Vol. 1(61)(006), 9 30 ON A CERTAIN FAMILY OF QUARTIC THUE EQUATIONS WITH THREE PARAMETERS Volker Ziegler Techniche Univerität Graz, Autria Abtract. We conider the parameterized Thue

More information

Multi-dimensional Fuzzy Euler Approximation

Multi-dimensional Fuzzy Euler Approximation Mathematica Aeterna, Vol 7, 2017, no 2, 163-176 Multi-dimenional Fuzzy Euler Approximation Yangyang Hao College of Mathematic and Information Science Hebei Univerity, Baoding 071002, China hdhyywa@163com

More information

Research Article A New Kind of Weak Solution of Non-Newtonian Fluid Equation

Research Article A New Kind of Weak Solution of Non-Newtonian Fluid Equation Hindawi Function Space Volume 2017, Article ID 7916730, 8 page http://doi.org/10.1155/2017/7916730 Reearch Article A New Kind of Weak Solution of Non-Newtonian Fluid Equation Huahui Zhan 1 and Bifen Xu

More information

Bogoliubov Transformation in Classical Mechanics

Bogoliubov Transformation in Classical Mechanics Bogoliubov Tranformation in Claical Mechanic Canonical Tranformation Suppoe we have a et of complex canonical variable, {a j }, and would like to conider another et of variable, {b }, b b ({a j }). How

More information

Convex Hulls of Curves Sam Burton

Convex Hulls of Curves Sam Burton Convex Hull of Curve Sam Burton 1 Introduction Thi paper will primarily be concerned with determining the face of convex hull of curve of the form C = {(t, t a, t b ) t [ 1, 1]}, a < b N in R 3. We hall

More information

Improving the Efficiency of a Digital Filtering Scheme for Diabatic Initialization

Improving the Efficiency of a Digital Filtering Scheme for Diabatic Initialization 1976 MONTHLY WEATHER REVIEW VOLUME 15 Improving the Efficiency of a Digital Filtering Scheme for Diabatic Initialization PETER LYNCH Met Éireann, Dublin, Ireland DOMINIQUE GIARD CNRM/GMAP, Météo-France,

More information

Chapter 4. The Laplace Transform Method

Chapter 4. The Laplace Transform Method Chapter 4. The Laplace Tranform Method The Laplace Tranform i a tranformation, meaning that it change a function into a new function. Actually, it i a linear tranformation, becaue it convert a linear combination

More information

1. Preliminaries. In [8] the following odd looking integral evaluation is obtained.

1. Preliminaries. In [8] the following odd looking integral evaluation is obtained. June, 5. Revied Augut 8th, 5. VA DER POL EXPASIOS OF L-SERIES David Borwein* and Jonathan Borwein Abtract. We provide concie erie repreentation for variou L-erie integral. Different technique are needed

More information

Flag-transitive non-symmetric 2-designs with (r, λ) = 1 and alternating socle

Flag-transitive non-symmetric 2-designs with (r, λ) = 1 and alternating socle Flag-tranitive non-ymmetric -deign with (r, λ = 1 and alternating ocle Shenglin Zhou, Yajie Wang School of Mathematic South China Univerity of Technology Guangzhou, Guangdong 510640, P. R. China lzhou@cut.edu.cn

More information

ON THE APPROXIMATION ERROR IN HIGH DIMENSIONAL MODEL REPRESENTATION. Xiaoqun Wang

ON THE APPROXIMATION ERROR IN HIGH DIMENSIONAL MODEL REPRESENTATION. Xiaoqun Wang Proceeding of the 2008 Winter Simulation Conference S. J. Maon, R. R. Hill, L. Mönch, O. Roe, T. Jefferon, J. W. Fowler ed. ON THE APPROXIMATION ERROR IN HIGH DIMENSIONAL MODEL REPRESENTATION Xiaoqun Wang

More information

Approximate Analytical Solution for Quadratic Riccati Differential Equation

Approximate Analytical Solution for Quadratic Riccati Differential Equation Iranian J. of Numerical Analyi and Optimization Vol 3, No. 2, 2013), pp 21-31 Approximate Analytical Solution for Quadratic Riccati Differential Equation H. Aminikhah Abtract In thi paper, we introduce

More information

Lecture 21. The Lovasz splitting-off lemma Topics in Combinatorial Optimization April 29th, 2004

Lecture 21. The Lovasz splitting-off lemma Topics in Combinatorial Optimization April 29th, 2004 18.997 Topic in Combinatorial Optimization April 29th, 2004 Lecture 21 Lecturer: Michel X. Goeman Scribe: Mohammad Mahdian 1 The Lovaz plitting-off lemma Lovaz plitting-off lemma tate the following. Theorem

More information

arxiv: v2 [math.nt] 30 Apr 2015

arxiv: v2 [math.nt] 30 Apr 2015 A THEOREM FOR DISTINCT ZEROS OF L-FUNCTIONS École Normale Supérieure arxiv:54.6556v [math.nt] 3 Apr 5 943 Cachan November 9, 7 Abtract In thi paper, we etablih a imple criterion for two L-function L and

More information

Social Studies 201 Notes for November 14, 2003

Social Studies 201 Notes for November 14, 2003 1 Social Studie 201 Note for November 14, 2003 Etimation of a mean, mall ample ize Section 8.4, p. 501. When a reearcher ha only a mall ample ize available, the central limit theorem doe not apply to the

More information

Robustness analysis for the boundary control of the string equation

Robustness analysis for the boundary control of the string equation Routne analyi for the oundary control of the tring equation Martin GUGAT Mario SIGALOTTI and Mariu TUCSNAK I INTRODUCTION AND MAIN RESULTS In thi paper we conider the infinite dimenional ytem determined

More information

CDMA Signature Sequences with Low Peak-to-Average-Power Ratio via Alternating Projection

CDMA Signature Sequences with Low Peak-to-Average-Power Ratio via Alternating Projection CDMA Signature Sequence with Low Peak-to-Average-Power Ratio via Alternating Projection Joel A Tropp Int for Comp Engr and Sci (ICES) The Univerity of Texa at Autin 1 Univerity Station C0200 Autin, TX

More information

in a circular cylindrical cavity K. Kakazu Department of Physics, University of the Ryukyus, Okinawa , Japan Y. S. Kim

in a circular cylindrical cavity K. Kakazu Department of Physics, University of the Ryukyus, Okinawa , Japan Y. S. Kim Quantization of electromagnetic eld in a circular cylindrical cavity K. Kakazu Department of Phyic, Univerity of the Ryukyu, Okinawa 903-0, Japan Y. S. Kim Department of Phyic, Univerity of Maryland, College

More information

New bounds for Morse clusters

New bounds for Morse clusters New bound for More cluter Tamá Vinkó Advanced Concept Team, European Space Agency, ESTEC Keplerlaan 1, 2201 AZ Noordwijk, The Netherland Tama.Vinko@ea.int and Arnold Neumaier Fakultät für Mathematik, Univerität

More information

NULL HELIX AND k-type NULL SLANT HELICES IN E 4 1

NULL HELIX AND k-type NULL SLANT HELICES IN E 4 1 REVISTA DE LA UNIÓN MATEMÁTICA ARGENTINA Vol. 57, No. 1, 2016, Page 71 83 Publihed online: March 3, 2016 NULL HELIX AND k-type NULL SLANT HELICES IN E 4 1 JINHUA QIAN AND YOUNG HO KIM Abtract. We tudy

More information

To appear in International Journal of Numerical Methods in Fluids in Stability analysis of numerical interface conditions in uid-structure therm

To appear in International Journal of Numerical Methods in Fluids in Stability analysis of numerical interface conditions in uid-structure therm To appear in International Journal of Numerical Method in Fluid in 997. Stability analyi of numerical interface condition in uid-tructure thermal analyi M. B. Gile Oxford Univerity Computing Laboratory

More information

Nonlinear Single-Particle Dynamics in High Energy Accelerators

Nonlinear Single-Particle Dynamics in High Energy Accelerators Nonlinear Single-Particle Dynamic in High Energy Accelerator Part 6: Canonical Perturbation Theory Nonlinear Single-Particle Dynamic in High Energy Accelerator Thi coure conit of eight lecture: 1. Introduction

More information

Stochastic Optimization with Inequality Constraints Using Simultaneous Perturbations and Penalty Functions

Stochastic Optimization with Inequality Constraints Using Simultaneous Perturbations and Penalty Functions Stochatic Optimization with Inequality Contraint Uing Simultaneou Perturbation and Penalty Function I-Jeng Wang* and Jame C. Spall** The John Hopkin Univerity Applied Phyic Laboratory 11100 John Hopkin

More information

Preemptive scheduling on a small number of hierarchical machines

Preemptive scheduling on a small number of hierarchical machines Available online at www.ciencedirect.com Information and Computation 06 (008) 60 619 www.elevier.com/locate/ic Preemptive cheduling on a mall number of hierarchical machine György Dóa a, Leah Eptein b,

More information

Modeling the scalar wave equation with Nyström methods

Modeling the scalar wave equation with Nyström methods GEOPHYSICS, VOL. 71, NO. 5 SEPTEMBER-OCTOBER 200 ; P. T151 T158, 7 FIGS. 10.1190/1.2335505 Modeling the calar wave equation with Nytröm method Jing-Bo Chen 1 ABSTRACT High-accuracy numerical cheme for

More information

Some Sets of GCF ϵ Expansions Whose Parameter ϵ Fetch the Marginal Value

Some Sets of GCF ϵ Expansions Whose Parameter ϵ Fetch the Marginal Value Journal of Mathematical Reearch with Application May, 205, Vol 35, No 3, pp 256 262 DOI:03770/jin:2095-26520503002 Http://jmredluteducn Some Set of GCF ϵ Expanion Whoe Parameter ϵ Fetch the Marginal Value

More information

List coloring hypergraphs

List coloring hypergraphs Lit coloring hypergraph Penny Haxell Jacque Vertraete Department of Combinatoric and Optimization Univerity of Waterloo Waterloo, Ontario, Canada pehaxell@uwaterloo.ca Department of Mathematic Univerity

More information

An Inequality for Nonnegative Matrices and the Inverse Eigenvalue Problem

An Inequality for Nonnegative Matrices and the Inverse Eigenvalue Problem An Inequality for Nonnegative Matrice and the Invere Eigenvalue Problem Robert Ream Program in Mathematical Science The Univerity of Texa at Dalla Box 83688, Richardon, Texa 7583-688 Abtract We preent

More information

Theoretical Computer Science. Optimal algorithms for online scheduling with bounded rearrangement at the end

Theoretical Computer Science. Optimal algorithms for online scheduling with bounded rearrangement at the end Theoretical Computer Science 4 (0) 669 678 Content lit available at SciVere ScienceDirect Theoretical Computer Science journal homepage: www.elevier.com/locate/tc Optimal algorithm for online cheduling

More information

The combined Laplace-homotopy analysis method for partial differential equations

The combined Laplace-homotopy analysis method for partial differential equations Available online at wwwir-publicationcom/jmc J Math Computer Sci 6 (26), 88 2 Reearch Article The combined Laplace-homotopy analyi method for partial differential equation Javad Vahidi Department of Mathematic,

More information

February 5, :53 WSPC/INSTRUCTION FILE Mild solution for quasilinear pde

February 5, :53 WSPC/INSTRUCTION FILE Mild solution for quasilinear pde February 5, 14 1:53 WSPC/INSTRUCTION FILE Mild olution for quailinear pde Infinite Dimenional Analyi, Quantum Probability and Related Topic c World Scientific Publihing Company STOCHASTIC QUASI-LINEAR

More information

Computers and Mathematics with Applications. Sharp algebraic periodicity conditions for linear higher order

Computers and Mathematics with Applications. Sharp algebraic periodicity conditions for linear higher order Computer and Mathematic with Application 64 (2012) 2262 2274 Content lit available at SciVere ScienceDirect Computer and Mathematic with Application journal homepage: wwweleviercom/locate/camwa Sharp algebraic

More information

Multicolor Sunflowers

Multicolor Sunflowers Multicolor Sunflower Dhruv Mubayi Lujia Wang October 19, 2017 Abtract A unflower i a collection of ditinct et uch that the interection of any two of them i the ame a the common interection C of all of

More information

ERROR ESTIMATES FOR SEMI-DISCRETE GAUGE METHODS FOR THE NAVIER-STOKES EQUATIONS : FIRST-ORDER SCHEMES

ERROR ESTIMATES FOR SEMI-DISCRETE GAUGE METHODS FOR THE NAVIER-STOKES EQUATIONS : FIRST-ORDER SCHEMES MATHEMATICS OF COMPUTATION Volume, Number, Pages S 5-578XX- ERROR ESTIMATES FOR SEMI-DISCRETE GAUGE METHODS FOR THE NAVIER-STOKES EQUATIONS : FIRST-ORDER SCHEMES RICARDO H. NOCHETTO AND JAE-HONG PYO Abstract.

More information

UNIQUE CONTINUATION FOR A QUASILINEAR ELLIPTIC EQUATION IN THE PLANE

UNIQUE CONTINUATION FOR A QUASILINEAR ELLIPTIC EQUATION IN THE PLANE UNIQUE CONTINUATION FOR A QUASILINEAR ELLIPTIC EQUATION IN THE PLANE SEPPO GRANLUND AND NIKO MAROLA Abtract. We conider planar olution to certain quailinear elliptic equation ubject to the Dirichlet boundary

More information

A Simplified Methodology for the Synthesis of Adaptive Flight Control Systems

A Simplified Methodology for the Synthesis of Adaptive Flight Control Systems A Simplified Methodology for the Synthei of Adaptive Flight Control Sytem J.ROUSHANIAN, F.NADJAFI Department of Mechanical Engineering KNT Univerity of Technology 3Mirdamad St. Tehran IRAN Abtract- A implified

More information

SOME RESULTS ON INFINITE POWER TOWERS

SOME RESULTS ON INFINITE POWER TOWERS NNTDM 16 2010) 3, 18-24 SOME RESULTS ON INFINITE POWER TOWERS Mladen Vailev - Miana 5, V. Hugo Str., Sofia 1124, Bulgaria E-mail:miana@abv.bg Abtract To my friend Kratyu Gumnerov In the paper the infinite

More information

Social Studies 201 Notes for March 18, 2005

Social Studies 201 Notes for March 18, 2005 1 Social Studie 201 Note for March 18, 2005 Etimation of a mean, mall ample ize Section 8.4, p. 501. When a reearcher ha only a mall ample ize available, the central limit theorem doe not apply to the

More information

On the regularity to the solutions of the Navier Stokes equations via one velocity component

On the regularity to the solutions of the Navier Stokes equations via one velocity component On the regularity to the olution of the Navier Stoke equation via one velocity component Milan Pokorný and Yong Zhou. Mathematical Intitute of Charle Univerity, Sokolovká 83, 86 75 Praha 8, Czech Republic

More information

Reliability Analysis of Embedded System with Different Modes of Failure Emphasizing Reboot Delay

Reliability Analysis of Embedded System with Different Modes of Failure Emphasizing Reboot Delay International Journal of Applied Science and Engineering 3., 4: 449-47 Reliability Analyi of Embedded Sytem with Different Mode of Failure Emphaizing Reboot Delay Deepak Kumar* and S. B. Singh Department

More information

Simple Observer Based Synchronization of Lorenz System with Parametric Uncertainty

Simple Observer Based Synchronization of Lorenz System with Parametric Uncertainty IOSR Journal of Electrical and Electronic Engineering (IOSR-JEEE) ISSN: 78-676Volume, Iue 6 (Nov. - Dec. 0), PP 4-0 Simple Oberver Baed Synchronization of Lorenz Sytem with Parametric Uncertainty Manih

More information

Avoiding Forbidden Submatrices by Row Deletions

Avoiding Forbidden Submatrices by Row Deletions Avoiding Forbidden Submatrice by Row Deletion Sebatian Wernicke, Jochen Alber, Jen Gramm, Jiong Guo, and Rolf Niedermeier Wilhelm-Schickard-Intitut für Informatik, niverität Tübingen, Sand 13, D-72076

More information

STABILITY OF A LINEAR INTEGRO-DIFFERENTIAL EQUATION OF FIRST ORDER WITH VARIABLE DELAYS

STABILITY OF A LINEAR INTEGRO-DIFFERENTIAL EQUATION OF FIRST ORDER WITH VARIABLE DELAYS Bulletin of Mathematical Analyi and Application ISSN: 1821-1291, URL: http://bmathaa.org Volume 1 Iue 2(218), Page 19-3. STABILITY OF A LINEAR INTEGRO-DIFFERENTIAL EQUATION OF FIRST ORDER WITH VARIABLE

More information

REVERSE HÖLDER INEQUALITIES AND INTERPOLATION

REVERSE HÖLDER INEQUALITIES AND INTERPOLATION REVERSE HÖLDER INEQUALITIES AND INTERPOLATION J. BASTERO, M. MILMAN, AND F. J. RUIZ Abtract. We preent new method to derive end point verion of Gehring Lemma uing interpolation theory. We connect revere

More information

EFFECT ON PERSISTENCE OF INTRA-SPECIFIC COMPETITION IN COMPETITION MODELS

EFFECT ON PERSISTENCE OF INTRA-SPECIFIC COMPETITION IN COMPETITION MODELS Electronic Journal of Differential Equation, Vol. 2007(2007, No. 25, pp. 0. ISSN: 072-669. URL: http://ejde.math.txtate.edu or http://ejde.math.unt.edu ftp ejde.math.txtate.edu (login: ftp EFFECT ON PERSISTENCE

More information

Hyperbolic Partial Differential Equations

Hyperbolic Partial Differential Equations Hyperbolic Partial Differential Equation Evolution equation aociated with irreverible phyical procee like diffuion heat conduction lead to parabolic partial differential equation. When the equation i a

More information

arxiv: v3 [math.na] 20 Dec 2017

arxiv: v3 [math.na] 20 Dec 2017 On a plitting method for the Zakharov ytem Ludwig Gauckler 1 Verion of 15 November 217 arxiv:167.7556v3 [math.na] 2 Dec 217 Abtract An error analyi of a plitting method applied to the Zakharov ytem i given.

More information

Study of a Freely Falling Ellipse with a Variety of Aspect Ratios and Initial Angles

Study of a Freely Falling Ellipse with a Variety of Aspect Ratios and Initial Angles Study of a Freely Falling Ellipe with a Variety of Apect Ratio and Initial Angle Dedy Zulhidayat Noor*, Ming-Jyh Chern*, Tzyy-Leng Horng** *Department of Mechanical Engineering, National Taiwan Univerity

More information

Singular perturbation theory

Singular perturbation theory Singular perturbation theory Marc R. Rouel June 21, 2004 1 Introduction When we apply the teady-tate approximation (SSA) in chemical kinetic, we typically argue that ome of the intermediate are highly

More information

Online supplementary information

Online supplementary information Electronic Supplementary Material (ESI) for Soft Matter. Thi journal i The Royal Society of Chemitry 15 Online upplementary information Governing Equation For the vicou flow, we aume that the liquid thickne

More information

Explicit formulae for J pectral factor for well-poed linear ytem Ruth F. Curtain Amol J. Saane Department of Mathematic Department of Mathematic Univerity of Groningen Univerity of Twente P.O. Box 800

More information

SECTION x2 x > 0, t > 0, (8.19a)

SECTION x2 x > 0, t > 0, (8.19a) SECTION 8.5 433 8.5 Application of aplace Tranform to Partial Differential Equation In Section 8.2 and 8.3 we illutrated the effective ue of aplace tranform in olving ordinary differential equation. The

More information

696 Fu Jing-Li et al Vol. 12 form in generalized coordinate Q ffiq dt = 0 ( = 1; ;n): (3) For nonholonomic ytem, ffiq are not independent of

696 Fu Jing-Li et al Vol. 12 form in generalized coordinate Q  ffiq dt = 0 ( = 1; ;n): (3) For nonholonomic ytem, ffiq are not independent of Vol 12 No 7, July 2003 cfl 2003 Chin. Phy. Soc. 1009-1963/2003/12(07)/0695-05 Chinee Phyic and IOP Publihing Ltd Lie ymmetrie and conerved quantitie of controllable nonholonomic dynamical ytem Fu Jing-Li(ΛΠ±)

More information

TAYLOR POLYNOMIALS FOR NABLA DYNAMIC EQUATIONS ON TIME SCALES

TAYLOR POLYNOMIALS FOR NABLA DYNAMIC EQUATIONS ON TIME SCALES TAYLOR POLYNOMIALS FOR NABLA DYNAMIC EQUATIONS ON TIME SCALES DOUGLAS R. ANDERSON Abtract. We are concerned with the repreentation of polynomial for nabla dynamic equation on time cale. Once etablihed,

More information

BUBBLES RISING IN AN INCLINED TWO-DIMENSIONAL TUBE AND JETS FALLING ALONG A WALL

BUBBLES RISING IN AN INCLINED TWO-DIMENSIONAL TUBE AND JETS FALLING ALONG A WALL J. Autral. Math. Soc. Ser. B 4(999), 332 349 BUBBLES RISING IN AN INCLINED TWO-DIMENSIONAL TUBE AND JETS FALLING ALONG A WALL J. LEE and J.-M. VANDEN-BROECK 2 (Received 22 April 995; revied 23 April 996)

More information

Evolutionary Algorithms Based Fixed Order Robust Controller Design and Robustness Performance Analysis

Evolutionary Algorithms Based Fixed Order Robust Controller Design and Robustness Performance Analysis Proceeding of 01 4th International Conference on Machine Learning and Computing IPCSIT vol. 5 (01) (01) IACSIT Pre, Singapore Evolutionary Algorithm Baed Fixed Order Robut Controller Deign and Robutne

More information

Asymptotic behavior of solutions of mixed problem for linear thermo-elastic systems with microtemperatures

Asymptotic behavior of solutions of mixed problem for linear thermo-elastic systems with microtemperatures Mathematica Aeterna, Vol. 8, 18, no. 4, 7-38 Aymptotic behavior of olution of mixed problem for linear thermo-elatic ytem with microtemperature Gulhan Kh. Shafiyeva Baku State Univerity Intitute of Mathematic

More information

ON THE SMOOTHNESS OF SOLUTIONS TO A SPECIAL NEUMANN PROBLEM ON NONSMOOTH DOMAINS

ON THE SMOOTHNESS OF SOLUTIONS TO A SPECIAL NEUMANN PROBLEM ON NONSMOOTH DOMAINS Journal of Pure and Applied Mathematic: Advance and Application Volume, umber, 4, Page -35 O THE SMOOTHESS OF SOLUTIOS TO A SPECIAL EUMA PROBLEM O OSMOOTH DOMAIS ADREAS EUBAUER Indutrial Mathematic Intitute

More information

Linear System Fundamentals

Linear System Fundamentals Linear Sytem Fundamental MEM 355 Performance Enhancement of Dynamical Sytem Harry G. Kwatny Department of Mechanical Engineering & Mechanic Drexel Univerity Content Sytem Repreentation Stability Concept

More information

USPAS Course on Recirculated and Energy Recovered Linear Accelerators

USPAS Course on Recirculated and Energy Recovered Linear Accelerators USPAS Coure on Recirculated and Energy Recovered Linear Accelerator G. A. Krafft and L. Merminga Jefferon Lab I. Bazarov Cornell Lecture 6 7 March 005 Lecture Outline. Invariant Ellipe Generated by a Unimodular

More information

COHOMOLOGY AS A LOCAL-TO-GLOBAL BRIDGE

COHOMOLOGY AS A LOCAL-TO-GLOBAL BRIDGE COHOMOLOGY AS A LOCAL-TO-GLOBAL BRIDGE LIVIU I. NICOLAESCU ABSTRACT. I dicu low dimenional incarnation of cohomology and illutrate how baic cohomological principle lead to a proof of Sperner lemma. CONTENTS.

More information

arxiv: v1 [math.mg] 25 Aug 2011

arxiv: v1 [math.mg] 25 Aug 2011 ABSORBING ANGLES, STEINER MINIMAL TREES, AND ANTIPODALITY HORST MARTINI, KONRAD J. SWANEPOEL, AND P. OLOFF DE WET arxiv:08.5046v [math.mg] 25 Aug 20 Abtract. We give a new proof that a tar {op i : i =,...,

More information

Manprit Kaur and Arun Kumar

Manprit Kaur and Arun Kumar CUBIC X-SPLINE INTERPOLATORY FUNCTIONS Manprit Kaur and Arun Kumar manpreet2410@gmail.com, arun04@rediffmail.com Department of Mathematic and Computer Science, R. D. Univerity, Jabalpur, INDIA. Abtract:

More information

Codes Correcting Two Deletions

Codes Correcting Two Deletions 1 Code Correcting Two Deletion Ryan Gabry and Frederic Sala Spawar Sytem Center Univerity of California, Lo Angele ryan.gabry@navy.mil fredala@ucla.edu Abtract In thi work, we invetigate the problem of

More information

where F (x) (called the Similarity Factor (SF)) denotes the function

where F (x) (called the Similarity Factor (SF)) denotes the function italian journal of pure and applied mathematic n. 33 014 15 34) 15 GENERALIZED EXPONENTIAL OPERATORS AND DIFFERENCE EQUATIONS Mohammad Aif 1 Anju Gupta Department of Mathematic Kalindi College Univerity

More information

Bernoulli s equation may be developed as a special form of the momentum or energy equation.

Bernoulli s equation may be developed as a special form of the momentum or energy equation. BERNOULLI S EQUATION Bernoulli equation may be developed a a pecial form of the momentum or energy equation. Here, we will develop it a pecial cae of momentum equation. Conider a teady incompreible flow

More information

CHAPTER 4 DESIGN OF STATE FEEDBACK CONTROLLERS AND STATE OBSERVERS USING REDUCED ORDER MODEL

CHAPTER 4 DESIGN OF STATE FEEDBACK CONTROLLERS AND STATE OBSERVERS USING REDUCED ORDER MODEL 98 CHAPTER DESIGN OF STATE FEEDBACK CONTROLLERS AND STATE OBSERVERS USING REDUCED ORDER MODEL INTRODUCTION The deign of ytem uing tate pace model for the deign i called a modern control deign and it i

More information

White Rose Research Online URL for this paper: Version: Accepted Version

White Rose Research Online URL for this paper:   Version: Accepted Version Thi i a repoitory copy of Identification of nonlinear ytem with non-peritent excitation uing an iterative forward orthogonal leat quare regreion algorithm. White Roe Reearch Online URL for thi paper: http://eprint.whiteroe.ac.uk/107314/

More information

Calculation of the temperature of boundary layer beside wall with time-dependent heat transfer coefficient

Calculation of the temperature of boundary layer beside wall with time-dependent heat transfer coefficient Ŕ periodica polytechnica Mechanical Engineering 54/1 21 15 2 doi: 1.3311/pp.me.21-1.3 web: http:// www.pp.bme.hu/ me c Periodica Polytechnica 21 RESERCH RTICLE Calculation of the temperature of boundary

More information

CONTROL SYSTEMS, ROBOTICS AND AUTOMATION Vol. VIII Decoupling Control - M. Fikar

CONTROL SYSTEMS, ROBOTICS AND AUTOMATION Vol. VIII Decoupling Control - M. Fikar DECOUPLING CONTROL M. Fikar Department of Proce Control, Faculty of Chemical and Food Technology, Slovak Univerity of Technology in Bratilava, Radlinkého 9, SK-812 37 Bratilava, Slovakia Keyword: Decoupling:

More information

The type 3 nonuniform FFT and its applications

The type 3 nonuniform FFT and its applications Journal of Computational Phyic 206 (2005) 1 5 Short Note The type 3 nonuniform FFT and it application June-Yub Lee a, *, Lelie Greengard b a Department of Mathematic, Ewha Woman Univerity, 11-1 Daehyundong,

More information

The continuous time random walk (CTRW) was introduced by Montroll and Weiss 1.

The continuous time random walk (CTRW) was introduced by Montroll and Weiss 1. 1 I. CONTINUOUS TIME RANDOM WALK The continuou time random walk (CTRW) wa introduced by Montroll and Wei 1. Unlike dicrete time random walk treated o far, in the CTRW the number of jump n made by the walker

More information

A CATEGORICAL CONSTRUCTION OF MINIMAL MODEL

A CATEGORICAL CONSTRUCTION OF MINIMAL MODEL A ATEGORIAL ONSTRUTION OF MINIMAL MODEL A. Behera, S. B. houdhury M. Routaray Department of Mathematic National Intitute of Technology ROURKELA - 769008 (India) abehera@nitrkl.ac.in 512ma6009@nitrkl.ac.in

More information

A novel protocol for linearization of the Poisson-Boltzmann equation

A novel protocol for linearization of the Poisson-Boltzmann equation Ann. Univ. Sofia, Fac. Chem. Pharm. 16 (14) 59-64 [arxiv 141.118] A novel protocol for linearization of the Poion-Boltzmann equation Roumen Tekov Department of Phyical Chemitry, Univerity of Sofia, 1164

More information

Local Fractional Laplace s Transform Based Local Fractional Calculus

Local Fractional Laplace s Transform Based Local Fractional Calculus From the SelectedWork of Xiao-Jun Yang 2 Local Fractional Laplace Tranform Baed Local Fractional Calculu Yang Xiaojun Available at: http://workbeprecom/yang_iaojun/8/ Local Fractional Laplace Tranform

More information

Control Systems Analysis and Design by the Root-Locus Method

Control Systems Analysis and Design by the Root-Locus Method 6 Control Sytem Analyi and Deign by the Root-Locu Method 6 1 INTRODUCTION The baic characteritic of the tranient repone of a cloed-loop ytem i cloely related to the location of the cloed-loop pole. If

More information

RELIABILITY OF REPAIRABLE k out of n: F SYSTEM HAVING DISCRETE REPAIR AND FAILURE TIMES DISTRIBUTIONS

RELIABILITY OF REPAIRABLE k out of n: F SYSTEM HAVING DISCRETE REPAIR AND FAILURE TIMES DISTRIBUTIONS www.arpapre.com/volume/vol29iue1/ijrras_29_1_01.pdf RELIABILITY OF REPAIRABLE k out of n: F SYSTEM HAVING DISCRETE REPAIR AND FAILURE TIMES DISTRIBUTIONS Sevcan Demir Atalay 1,* & Özge Elmataş Gültekin

More information

POINCARE INEQUALITY AND CAMPANATO ESTIMATES FOR WEAK SOLUTIONS OF PARABOLIC EQUATIONS

POINCARE INEQUALITY AND CAMPANATO ESTIMATES FOR WEAK SOLUTIONS OF PARABOLIC EQUATIONS Electronic Journal of Differential Equation, Vol. 206 (206), No. 204, pp. 8. ISSN: 072-669. URL: http://ejde.math.txtate.edu or http://ejde.math.unt.edu POINCARE INEQUALITY AND CAMPANATO ESTIMATES FOR

More information

Introduction to Laplace Transform Techniques in Circuit Analysis

Introduction to Laplace Transform Techniques in Circuit Analysis Unit 6 Introduction to Laplace Tranform Technique in Circuit Analyi In thi unit we conider the application of Laplace Tranform to circuit analyi. A relevant dicuion of the one-ided Laplace tranform i found

More information

Clustering Methods without Given Number of Clusters

Clustering Methods without Given Number of Clusters Clutering Method without Given Number of Cluter Peng Xu, Fei Liu Introduction A we now, mean method i a very effective algorithm of clutering. It mot powerful feature i the calability and implicity. However,

More information

Factor Analysis with Poisson Output

Factor Analysis with Poisson Output Factor Analyi with Poion Output Gopal Santhanam Byron Yu Krihna V. Shenoy, Department of Electrical Engineering, Neurocience Program Stanford Univerity Stanford, CA 94305, USA {gopal,byronyu,henoy}@tanford.edu

More information

Chapter 5 Consistency, Zero Stability, and the Dahlquist Equivalence Theorem

Chapter 5 Consistency, Zero Stability, and the Dahlquist Equivalence Theorem Chapter 5 Conitency, Zero Stability, and the Dahlquit Equivalence Theorem In Chapter 2 we dicued convergence of numerical method and gave an experimental method for finding the rate of convergence (aka,

More information

Research Article Existence for Nonoscillatory Solutions of Higher-Order Nonlinear Differential Equations

Research Article Existence for Nonoscillatory Solutions of Higher-Order Nonlinear Differential Equations International Scholarly Reearch Network ISRN Mathematical Analyi Volume 20, Article ID 85203, 9 page doi:0.502/20/85203 Reearch Article Exitence for Nonocillatory Solution of Higher-Order Nonlinear Differential

More information

Compact finite-difference approximations for anisotropic image smoothing and painting

Compact finite-difference approximations for anisotropic image smoothing and painting CWP-593 Compact finite-difference approximation for aniotropic image moothing and painting Dave Hale Center for Wave Phenomena, Colorado School of Mine, Golden CO 80401, USA ABSTRACT Finite-difference

More information

Convergence criteria and optimization techniques for beam moments

Convergence criteria and optimization techniques for beam moments Pure Appl. Opt. 7 (1998) 1221 1230. Printed in the UK PII: S0963-9659(98)90684-5 Convergence criteria and optimization technique for beam moment G Gbur and P S Carney Department of Phyic and Atronomy and

More information

into a discrete time function. Recall that the table of Laplace/z-transforms is constructed by (i) selecting to get

into a discrete time function. Recall that the table of Laplace/z-transforms is constructed by (i) selecting to get Lecture 25 Introduction to Some Matlab c2d Code in Relation to Sampled Sytem here are many way to convert a continuou time function, { h( t) ; t [0, )} into a dicrete time function { h ( k) ; k {0,,, }}

More information

Representation Formulas of Curves in a Two- and Three-Dimensional Lightlike Cone

Representation Formulas of Curves in a Two- and Three-Dimensional Lightlike Cone Reult. Math. 59 (011), 437 451 c 011 Springer Bael AG 14-6383/11/030437-15 publihed online April, 011 DOI 10.1007/0005-011-0108-y Reult in Mathematic Repreentation Formula of Curve in a Two- and Three-Dimenional

More information

Lecture 10 Filtering: Applied Concepts

Lecture 10 Filtering: Applied Concepts Lecture Filtering: Applied Concept In the previou two lecture, you have learned about finite-impule-repone (FIR) and infinite-impule-repone (IIR) filter. In thee lecture, we introduced the concept of filtering

More information

Laplace Transformation

Laplace Transformation Univerity of Technology Electromechanical Department Energy Branch Advance Mathematic Laplace Tranformation nd Cla Lecture 6 Page of 7 Laplace Tranformation Definition Suppoe that f(t) i a piecewie continuou

More information