Particular Solutions of Chebyshev Polynomials for Polyharmonic and Poly-Helmholtz Equations
|
|
- Avis Mathews
- 5 years ago
- Views:
Transcription
1 Copyrght c 2008 Tech Scence Press CMES, vo.27, no.3, pp , 2008 Partcuar Soutons of Chebyshev Poynomas for Poyharmonc and Poy-Hemhotz Equatons Cha-Cheng Tsa 1 Abstract: In ths paper we deveop anaytca partcuar soutons for the poyharmonc and the products of Hemhotz-type parta dfferenta operators wth Chebyshev poynomas at rghthand sde. Our soutons can be wrtten expcty n terms of ether monoma or Chebyshev bases. By usng these formuas, we can obtan the approxmate partcuar souton when the rght-hand sde has been represented by a truncated seres of Chebyshev poynomas. These formuas are further mpemented to sove nhomogeneous parta dfferenta equatons (PDEs) n whch the homogeneous soutons are compementary soved by the method of fundamenta soutons (MFS). Numerca experments, whch ncude eghth order PDEs and three-dmensona cases, are carred out. Due to the exponenta convergence of the Chebyshev nterpoaton and the MFS, our numerca resuts are extremey accurate. Keyword: Partcuar souton, Chebyshev poynomas, poyharmonc equaton, product of Hemhotz equaton, boundary eement method, method of fundamenta soutons, Trefftz method, rada bass functon 1 Introducton There are a number of numerca methods that can be cassfed as boundary-type numerca methods [Cheng and Cheng (2005) because the numerca dscretzaton s performed ether on the souton boundary, or on a boundary-e geometry, whch resdes n a ower spata dmenson than the souton doman. Exampes ncude the boundary eement method (BEM), the MFS [Kupradze and 1 Department of Informaton Technoogy, Too Unversty, Cha-Y County, 61363, Tawan. E-ma: tsachacheng@ntu.edu.tw Aesdze (1964); Bogomony (1985), the Trefftz Methods (TM) [Cozzano, Rodríguez (2007); Lu (2007A); Lu (2007B), the meshess oca boundary ntegra equaton method [Zhu, Zhang, and Atur (1998), and et a. Boundary-type numerca methods generay requre the governng equaton to be homogeneous hence a speca agorthm s needed for nhomogeneous PDEs. One way to emnate the nhomogeneous term s by the method of partcuar soutons (MPS) addressed by Goberg and Chen (1999). Consder an nhomogeneous near PDE: Λu = f (x); x Ω (1) whch s subect to the boundary condtons B(u)=g(x); x Γ (2) In the above, Λ and B are parta dfferenta operators, Ω s the souton doman, and Γ s ts boundary. We can decompose the souton nto two parts, a partcuar souton part u p and a homogeneous part u h, such that u = u p +u h (3) We requre the partcuar souton to satsfy Eq. (1) as Λu p = f (x); x Ω (4) but not the boundary condton Eq. (2), such that the souton s easer to fnd. The soutons of Eq. (4) can be found by the MPS whch w be descrbed ater. Then, t s easy to show that the homogeneous souton must satsfy Λu h = 0; x Ω (5) and s subect to the modfed boundary condton Bu h = g(x) Bu p ; x Γ (6)
2 152 Copyrght c 2008 Tech Scence Press CMES, vo.27, no.3, pp , 2008 Eqs. (5) and (6) can then be formay soved by boundary-type numerca methods. The orgna dea of ths formuaton stemmed form the dua recprocty boundary eement method (DRBEM) nnovated by Nardn and Brebba (1982). Actuay, the dua recprocty procedure s equvaent to the MPS. From the above descrpton, t s cear that the appcabty of prevous formuaton depends on the avaabty of the partcuar souton u p assocated wth rght hand sde functon f and the operator Λ. It s obvous that anaytca expressons for u p are rare. Hence, n the same sprt of numerca soutons, approxmate expressons of the partcuar souton are sought. Ths can be accompshed by approxmatng the rght hand sde functon as a summaton of bass (tra) functons, f (x) α ϕ (x) (7) where ϕ are bass functons, and α are constants to be determned by sovng a near system resutng from coocatons or east squares. Once the bass functons n Eq. (7) are seected, the probem of fndng partcuar souton s reduced to Λψ = ϕ (x); x Ω (8) where ψ s the partcuar souton correspondng to ϕ.onceψ s found, the approxmate partcuar souton sought for becomes u p n α ψ (x) (9) Therefore, the success of the MPS depends on the avaabty of the exact expresson of ψ assocated to the bass functon ϕ and operators Λ. In the ast few decades, sgnfcant progress has been made n obtanng anaytca partcuar soutons for varous bass functons. Among these are the rada bass functons [Cheng, Lafe, and Gr (1994); Goberg (1995); Goberg, Chen, and Karur (1996); Goberg and Chen (1999); Mueshov, Goberg, and Chen (1999); Cheng (2000); Mueshov and Goberg (2007), the trgonometrc functons [Atnson (1985); L and, Chen (2004), the monomas [Janssen and, Lambert (1992); Cheng, Lafe, and Gr (1994); Cheng, Chen, Goberg, Rashed (2001); Goberg, Mueshov, Chen, and Cheng (2003), the Chebyshev poynomas [Goberg, Mueshov, Chen, and Cheng (2003); Reutsy and Chen (2006); Karageorghs, and Kyza (2007); Dng and Chen (2007) and others. In ths study, we consder the anaytca partcuar souton correspondng to the Chebyshev poynomas. In the orgna study of Chebyshev nterpoaton, Goberg, Mueshov, Chen, and Cheng (2003) utzed symboc software Mathematca to connect monomas and Chebyshev poynomas and used ther derved partcuar souton as foows Λα x y = x m y n (10), to mpement foatng number computng. However some boo eepngs are requred n ther study. Reutsy and Chen (2006) remeded the tedous boo eepng by usng two-stage approxmatons of trgonometrc functons and Chebyshev poynomas. On the other hand, Karageorghs, and Kyza (2007) studed the same ssue by drecty consderng Λβ T (x)t (y)=t m (x)t n (y) (11), where T m (x) s the Chebyshev poynoma of degree m. However matrx nverses are conducted to ther fna formuas. Thus they have to face the ssue of -condtonng. Recenty, Dng and Chen (2007) dscovered a recursve formuaton free from boo eepngs and matrx nverses. Thus ther formuaton can be mpemented by foatng number computng. It s we nown that systems nvovng the coupng of a set of second order eptc equatons are encountered n some engneerng probems, such as a mutayered aqufer system [Cheng and Morohunfoa (1993A); Cheng and Morohunfoa (1993B), or a mutpe porosty system [Cheng (2000). These couped systems can be reduced to a snge parta dfferenta equaton by usng the Hörmander operator decomposton technque [Hörmander (1963). The resutant parta dfferenta equatons usuay nvove the poyharmonc or the products of Hemhotz-type operators. Ths
3 Partcuar Soutons of Chebyshev Poynomas for Poyharmonc and Poy-Hemhotz Equatons 153 motvated us to generaze the stuaton by consderng anaytca partcuar soutons of Λ α x y z = x m y n z (12),, where the parta dfferenta operator Λ s n a very genera form Λ = (Δ ) A =(Δ 1 ) A 1 (Δ 2 ) A 2...(Δ ) A (13) wth A 1, A 2,..., A N, 1, 2,..., C, and Δ s the Lapacan. We notce that when 0 n Eq. (13), the operator s the product of the Hemhotz-type operators, and when = 1, Eq. (13) becomes the poy-hemhotz or poyharmonc operator. In our mpementaton, we use the expct formuas between monomas and Chebyshev poynomas [Mason and Handscomb (2003) as we as the expct formuas n Eq. (12), whch can be easy coded by mutpe oops. Our mpementaton s free from boo eepngs and matrx nverses. Compared to the recursve formuaton [Dng and Chen (2007), our formuaton s easer and more sutabe for hgher order PDEs and three dmensons. Furthermore, we sove the homogeneous souton by the MFS n our mpementaton [Kupradze and Aesdze (1964); Bogomony (1985); Tsa, Young, Cheng (2002); Smyrs, Karageorghs (2003); Chen, Fan, Young, Murugesan, Tsa (2005); Young, Ruan (2005); Young, Chen, Chen, Kao (2007); Hu, Young, Fan (2008). Ths two-stage procedure forms a boundary-type meshess numerca method, whch s opposte to doman-type meshess numerca methods sovng PDEs n one stage, such as Kansa s method [Emdad, Kansa, Lbre, Rahman, Shearch (2008); Kosec, Šarer (2008); Lbre, Emdad, Kansa, Rahman, Shearch (2008) and the meshess oca Petrov- Gaern method [Gao, Lu, Lu (2006); Han, Lu, Raendran, Atur (2006); Sade, Sade, Wen, Aabad (2006); Sade, Sade, Zhang, Soe (2007); Wu, Shen, Tao (2007) and et a. Our numerca resuts are very accurate even for eghth order PDEs and three dmensons due to the exponenta convergence of the Chebyshev nterpoaton and the MFS. In order to compete the mathematca consderaton, we aso ustrate by an exampe for obtanng expct partcuar soutons wth Chebyshev poynomas at rght hand sde Λ β T (x)t (y)t (z)=t m (x)t n (y)t (z) (14),, Λ γ x y z = T m (x)t n (y)t (z) (15),, by usng the expct formuas between monomas and Chebyshev poynomas [Mason and Handscomb (2003). We do not suggest drect mpementatons of Eqs. (14) and (15) because they are ess effcent. 2 Chebyshev nterpoaton We begn wth the trvarate Chebyshev poynoma nterpoaton f (x, y, z) for a functon f (x,y,z), n whch ower dmensona stuatons are ncuded. The Chebyshev nterpoant usng Gauss-Lobatto nodes for cubc doman [x a, x b [y a, y b [z a, z b taes the form: f (x,y,z)= where m n T ( 2y yb y a y b y a 8 a = mnc, c m, c n, wth ( ) 2x xb x a a T x b x a ) ( ) 2z zb z a T z b z a m cos π n f (x,x,x ) c, c m, c n, cos π π cos m n c,0 = c, = 2, c, = 1, 1 1 x = (x b x a ) cos π 2 + x b +x a 2 y = (y b y a ) cos π 2 m + y b +y a 2 (16) (17) (18a) (18b) (18c)
4 154 Copyrght c 2008 Tech Scence Press CMES, vo.27, no.3, pp , 2008 z = (z b z a ) cos π 2 n + z b +z a (18d) 2 Note that, m and n are the numbers of Gauss- Lobatto nodes n the x, y and z drectons, respectvey. Aso, t s we nown that the use of Gauss-Lobatto nodes ensure the spectra convergence for Chebyshev nterpoaton. Detas of Chebyshev nterpoaton can be found n a recent exceent revew boo of Mason and Handscomb (2003). In the appcaton of MPS, the rght hand sde f (x,y,z) n Eq. (4) s frst approxmated by the Chebyshev nterpoaton. In the foowng dervatons, we assume x a = y a = z a = 1, x b = y b = z b = 1, and [ 1, 1 [ 1, 1 [ 1, 1 bg enough to encose Ω. These assumptons do not ose the generaty. Then, Eq. (16) reduces to the foowng form: f (x,y,z)= m n a T T T (19) Eq. (19) can aso be rewrtten n terms of monoma bass by usng [Mason and Handscomb (2003) T n (x)= wth c (n) [n/2 c (n) x n 2 (20) =0 =( 1) 2 n 2 1n(n 1)!!(n 2)!, n > 2 (21a) c (2) =( 1), 0 (21b) In Eq. (20), the bracets [n the summaton mts ndcate tang the nteger part of the argument. Usng Eqs. (19) and (20) t s enough to obtan f (x,y,z)= m n b x y z (22) It shoud be noted that, we can actuay wrte b expcty, however that s not the best way for mpementatons. We w return to ths ssue n Secton 6. 3 Partcuar soutons of monomas poy- Hemhotz equaton Snce we have the approxmated rght hand sde n terms of monomas, we shoud fnd the partcuar soutons defned by Eq. (12) n order to appy the MPS. In ths secton, we consder Λ =(Δ ) L frst. In other words, we are gong to see P (L,,m,n) (x,y,z) so that (Δ ) L P (L,,m,n) (x,y,z)=x y m z n (23) Goberg, Mueshov, Chen, and Cheng (2003) had found the souton for L = 1, 0 P (1,,m,n) [ 2 [ m 2 [ n 2 (x,y,z)= =0 =0 =0 ( + +)!!m!n!x 2 y m 2 z n !!!( 2)!(m 2 )!(n 2)! or (24) ΔP (1,,m,n) P (1,,m,n) = x y m z n (25) Tang parta dervatve wth respect,we have Δ P(1,,m,n) P (1,,m,n) (Δ ) P(1,,m,n) (Δ ) 2 P(1,,m,n) P(1,,m,n) = P (1,,m,n) = x y m z n From Eq. (26), t s cear that P (2,,m,n) = P(1,,m,n) = 0 Repeatng the above dervatons we can obtan (26) (27) P (L,,m,n) 1 L 1 P (1,,m,n) = (L 1)! L 1 (28) Usng Eqs. (24) and (28) we can have the desred
5 Partcuar Soutons of Chebyshev Poynomas for Poyharmonc and Poy-Hemhotz Equatons 155 partcuar souton for 0 as foows [ 2 [ m P (L,,m,n) 2 [ n 2 (x 1,x 2,x 3 )= =0 =0 =0 [( 1) L ( + + +L 1)!!m!n!x 2 y m 2 z n 2 Itseasytoshowthat ( ) 2 ++L [! +2+2L x 2 x+2 ( L)! = x (33) /[ (L 1)! + ++L!!!( 2)!(m 2 )! (n 2)! (29) ( ) Usng Eq. (33) to emnate the 2 ++L x operator n Eq. (32), we obtan the partcuar souton 2 for poyharmonc operator gven as It shoud be notced that Eq. (29) reduce to twodmensona soutons by settng n = 0. Aso, Eq. (29) can be mpemented very easy by mutpe oops. If we compare our formua wth the recursve formuaton ntroduced by Dng and Chen (2007), t s cear that our formua s easer for mpementaton for hgher order PDEs and three dmensons whch s often occurred n engneerng appcatons. 4 Partcuar soutons of monomas poyharmonc equaton Then, we consder the partcuar soutons correspondng to poyharmonc operators as foows: Δ L P (L,,m,n) 0 (x,y,z)=x y m z n (30) In order to fnd the soutons,we consder Eq. (29) wth = 0 [ m P (L,0,m,n) 2 (x 2,x 3 )= [ n 2 =0 =0 ( 1) L ( + +L 1)!m!n!y m 2 z n 2 (L 1)! ++L!!(m 2 )!(n 2)! (31) Then substtute = 2 to Eq. (31) and mutpy x, we can x 2 obtan [ m Δ L 2 [ n 2 =0 =0 ( 1) + ( + +L 1)!m!n!x y m 2 z n 2 ( ) (L 1)! 2 ++L x!!(m 2 )!(n 2)! 2 = x y m z n (32) [ m P (L,,m,n) 2 0 (x,y,z)= [ n 2 =0 =0 [ ( 1) + ( ++L 1)!!m!n!x L y m 2 z n 2/[ (L 1)!!!( L)!(m 2 )!(n 2)! (34) For L = 1, the resut obtaned n Eq. (34) appears to be smper as compared to those found n Goberg, Mueshov, Chen, and Cheng (2003) for 3D Lapacan operator wth monoma rght hand sde. 5 Partcuar soutons of monomas Λ = (Δ ) A As we have mentoned that many probems n engneerng and scence nvove the product of Hemhotz-type and harmonc operators. Therefore we are gong to derve partcuar soutons n Eq. (12) wth Λ = (Δ ) A. Baneree (1994) ntroduced the dfference trc to fnd the fundamenta souton for the product of Hemhotz and harmonc operators. Here we fnd the dfference trc can be ned to the parta fracton [O Ne (2002). Therefore we use the partcuar soutons of poy-hemhotz and poyharmonc operators, Eqs. (29) & (34), as we as the parta fracton to derve the desred partcuar souton. Consder we have the foowng parta fracton 1 (ξ ) A = =1 A 1 =0 Θ (ξ ) A (35) where the coeffcents Θ can be fnd formay by the decomposton of parta fracton [O Ne
6 156 Copyrght c 2008 Tech Scence Press CMES, vo.27, no.3, pp , 2008 (2002). Then, the partcuar souton correspondng to [ (Δ ) A P (,m,n) (x,y,z)=x y m z n (36) s P (,m,n) (x,y,z)= A 1 Θ P (A,,m,n) (37) =0 where P (A,,m,n) are gven n Eqs. (29) and (34). To compete the dervaton we frst compare Eqs. (23), (30), and (36) to obtan (Δ ) A P (,m,n) (x,y,z) =(Δ ) L P (L,,m,n) (x,y,z) (Δ ) A P (,m,n) (x,y,z) (Δ ) L = P (L,,m,n) (x,y,z) (38) Then, we substtute [ ξ = Δ to Eq. (35), mutpy both sde by (Δ ) A P (,m,n) (x,y,z), and use Eq. (38) to obtan 1 (Δ ) A P (,m,n) (x,y,z) =0 = =0 A 1 =0 [ A 1 Θ (Δ ) A =0 Θ (Δ ) A = (Δ ) A P (,m,n) (x,y,z) P (,m,n) (x,y,z) = A 1 =0 =0 Θ P (A,,m,n) (x,y,z) (39) These fnsh our dervatons. Snce we have the partcuar souton n Eq. (12) we are ready to appy the MPS. We can use Eqs. (29), (34), and (37) wth Eq. (22) to get the approxmated partcuar souton correspondng to F(x,y,z)= f (x,y,z) (40) [ (Δ ) A as foows F(x,y,z)= m n b P (,,) (x,y,z) (41) These compete the MPS formuatons. Exampe 1: Let s fnd the partcuar soutons of Δ 2 (Δ 4)(Δ +9) 2 P(x,y,z)=x y m z n (42) We frst consder the foowng parta fracton by the method of undetermned coeffcent [O Ne (2002): 1 ξ 2 (ξ 4)(ξ +9) 2 = 1 324ξ ξ (ξ 4) (ξ +9) (ξ +9) Then we have the partcuar souton as foows P = P(2,,m,n) P(1,,m,n) P(1,,m,n) P(2,,m,n) P(1,,m,n) (43) (44) where P (2,,m,n) 0 and P (1,,m,n) 0 are gven n Eq. (34) as we as P (1,,m,n) 4, P (2,,m,n) 9,andP (1,,m,n) 9 are addressed n Eq. (29). Exampe 2: Then we try to fnd the partcuar soutons of (Δ 2 +1) ˆP(x,y,z)=x y m z n (45) We frst consder the foowng parta fracton: 1 ξ 2 +1 = 1 (ξ +)(ξ ) = 1 2(ξ ) 1 2(ξ +) (46) Then we have the partcuar souton as foows ˆP = P(1,,m,n) 2 P(1,,m,n) 2 (47) where P (1,,m,n) and P (1,,m,n) are gven n Eq. (29). It s nterestng to note that ˆP s a rea vaued functon athough we are worng n compex numbers. Ths s another advantage over Dng and Chen (2007).
7 Partcuar Soutons of Chebyshev Poynomas for Poyharmonc and Poy-Hemhotz Equatons Partcuar soutons of Chebyshev poynomas In order to compete the mathematca consderaton, we aso ustrate by an exampe about how to obtan expct partcuar soutons wth Chebyshev poynomas at rght hand sde as defned n Eqs. (14) and (15). Consder partcuar soutons of two-dmensona poyharmonc operator as Δ L P(x,y)=T h (x)t (y) (48) By usng Eq. (20) we have T h (x)t (y)= [h/2 [/2 =0 =0 c (h) c () xh 2 y 2 (49) Then we can utze Eq. (34) wth n = 0tohave Δ L P (L,,m,0) 0 (x,y,z)=x y m (50) wth [ m P (L,,m,0) 2 0 (x,y,z)= e L,,m x +2 +2L y m 2 (51a) =0 e (L,,m) ( 1) ( +L 1)!!m! = (L 1)!!( +2 +2L)!(m 2 )! (51b) Combnng Eqs. (48) (50) we can obtan [ h 2 [ 2 P(x, y)= c (h) [ 2 =0 =0 =0 c (), 2 el,h 2 x h L y 2 2 (52) Eq. (52) s ust the desred partcuar souton n terms of monomas. The partcuar souton can aso be rewrtten n terms of Chebyshev poynomas. We frst ntroduce the expct formua to express monomas n terms of Chebyshev poynomas ntroduced by Mason and Handscomb (2003) as foows: x n = [n/2 d (n) T n 2 (x) (53) =0 wth d (n) = 2 1 n n!!(n )! Substtutng Eq. (53) to Eq. (52) we have [ h 2 [ 2 P(x, y)= c (h) =0 =0 c (), 2 el,h 2 [ 2 =0 d [ h L m=0 [ 2 n=0 h L m dn 2 2 (54) T h L 2m (x)t 2 2 2n (x) (55) Eq. (55) s ust the expct partcuar soutons n terms of Chebyshev poynomas. These dervatons can be extended to poy-hemhotz equatons and three dmensons. Aso, the partcuar soutons can be consdered as an aternatve to the formuatons derved by Karageorghs, and Kyza (2007), n whch they had to sove systems of near equatons. Here we provde these formuas n order to show the mathematca possbty of obtanng expct partcuar soutons wth Chebyshev poynomas at rght hand sde. In ths paper, we suggest to mpement the MPS by usng Eqs. (16), (22), and (37) n three stages nstead of drect utzng Eqs. (16) & (52) or Eq. (16) & (55) due to the computatona effcency. We can state the reason cearer that Eqs. (16) and (22) have to be executed once for a gven f (x,y,z) but the modfed boundary condton n Eq. (6) shoud be cacuated at a the dscrete ponts by usng Eq. (37). Thus the three-stage mpementaton s more effcent. 7 Numerca resuts Once we fnd an approxmate partcuar souton, we can sove the homogeneous probem (5) wth gven modfed boundary data (6) by the MFS. Consder [ (Δ ) A u h = 0 (56) Then we can approxmate u h (x) by the MFS as u h (x) = A 1 =0 K =1 γ G (A ) (x s ) (57)
8 158 Copyrght c 2008 Tech Scence Press CMES, vo.27, no.3, pp , 2008 where G L (x) s the fundamenta souton defned by (Δ ) L G L (x)=δ(x) (58) whch can be found n Cheng, Antes, and Ortner (1994). And s are K prescrbed source ponts outsde the computaton domans. The K A unnown coeffcent γ can be found by enforcng the boundary condtons (6) at K boundary fed ponts. It s cear that the order of (Δ ) A s 2 A. Therefore we need A boundary condtons whch are ust the rans of the vectored vaued parta dfferenta operator B n Eq. (6). In other words, the enforcement of boundary condtons at K boundary fed ponts resuts n K A near equatons, whch can be used to sove the K A unnown coeffcents γ. Detas of the MFS can be found n theoretca wor of Bogomony (1985). Aso Tsa, Ln, Young, and Atur (2006) dscussed the ocatons of source and boundary fed ponts. Exampe 3: Let s sove two-dmensona modfed Hemhotz equaton (Δ 900)u = 899(e x +e y ) (59) n [ 1, 1 [ 1, 1, Drchet boundary condton s set up correspondng to exact souton u = e x +e y (60) 40 source ponts are seected n the MFS. Tabe I gves the root mean square errors (RMSEs) for dfferent and m n whch exceent accuracy can be observed. Here and m are the numbers of Gauss-Lobatto nodes n the x and y drectons, respectvey. m 4 m 8 m 12 m 16 m 20 Exampe 4: Then we sove two-dmensona Posson s equaton Δu = e x +e y (61) aso n [ 1, 1 [ 1, 1 wth Drchet boundary condton. The exact souton s aso u = e x +e y (62) Tabe II gves the RMSEs. The accuracy s aso great. m 4 m 8 m 12 m 16 m 20 Exampe 5: Our expct partcuar soutons enabe us to sove three-dmensona probems very easy. Consder three-dmensona modfed Hemhotz equaton (Δ 900)u = 899(e x +e y +e z ) (63) n [ 1, 1 [ 1, 1 [ 1, 1. Drchet boundary condton s set up by usng the exact souton u = e x +e y +e z (64) 386 source ponts are seected n the MFS for ths three-dmensona case. Tabe III gves the RM- SEs for dfferent, m and n. The resuts aso perform we. Here, m and n are the numbers of Gauss-Lobatto nodes n the x, y and z drectons, respectvey. m n 4 m n 8 m n 12 m n 16 m n 20 Exampe 6: Aso, we can sove threedmensona Posson s equaton Δu = e x +e y +e z (65) wth Drchet boundary condton. The exact souton s aso u = e x +e y +e z (66) Tabe IV gves the RMSEs n whch exceent resuts can aso be observed.
9 Partcuar Soutons of Chebyshev Poynomas for Poyharmonc and Poy-Hemhotz Equatons 159 m n 4 m n 8 m n 12 m n 16 m n 20 where K 0 () s the zero order modfed Besse functon of second nd. We aso address the nce RMSEs n Tabe VI. Exampe 7: As we have mentoned that our formuaton can be extended to hgher order PDEs. We consder poyharmonc equaton n two-dmensona doman [ 1, 1 [ 1, 1 as Δ 4 u = e x +e y (67) The exact souton of the probem s set up as u = e x +e y (68) In ths probem, we have to set up four boundary condtons n Eq. (6) as [ T B = (69) n n 2 n 3 The MFS equaton n Eq. (57) n ths case reads u h (x) = K =1 ( γ1 r 6 nr +γ 2 r 4 nr +γ 3 r 2 nr + γ 4 nr ) (70) where r = x s. Tabe V gves the RMSEs where nce resuts are aso found. m 4 m 8 m 12 m 16 m 20 Exampe 8: Then et s consder a twodmensona probem n [ 1, 1 [ 1, 1 as Δ 2 (Δ 900)(Δ 100)u = 89001(e x +e y ) (71) The same four types of boundary condtons are set up correspondng to exact souton u = e x +e y (72) In ths case, the MFS equaton becomes u h (x) = K =1 ( γ1 K 0 (30r )+γ 2 K 0 (10r ) + γ 3 r 2 nr + γ 4 nr ) (73) m 4 m 8 m 12 m 16 m 20 8 Dscussons Many probems n engneerng and scence are governed by a system of couped near parta dfferenta equatons. Through Hörmander near parta dfferenta operator theory and agebrac factorzaton, they can be reduced to a snge equaton nvovng the products of Hemhotztype and poyharmonc operators. In ths paper we derved expct cosed-form partcuar soutons for these operators wth Chebyshev poynomas at rght-hand sde. Wth these partcuar soutons we can transform the nhomogeneous PDEs to homogeneous ones whch can then be soved by the MFS. Numerca experments ncudng eghth order PDEs and three-dmensona cases are carred out. Our numerca resuts are extremey accurate due to the exponenta convergence of both the Chebyshev nterpoaton and the MFS. Appcatons of these formuatons to probems governed by a system of couped near parta dfferenta equatons are currenty under nvestgatons. Acnowedgement: The Natona Scence Counc of Tawan s gratefuy acnowedged for provdng fnanca support to carry out the present wor under the Grant No. NSC E References Atnson, K.E. (1985): The numerca evauaton of partcuar soutons for Posson s equaton. IMA Journa of Numerca Anayss, vo. 5, pp Baneree, P.K. (1994): The boundary eement methods n engneerng, McGraw-H, London, UK.
10 160 Copyrght c 2008 Tech Scence Press CMES, vo.27, no.3, pp , 2008 Bogomony, A. (1985): Fundamenta soutons method for eptc boundary vaue probems, SIAM Journa of Numerca Anayss, vo. 22, pp Chen, C.W.; Fan, C.M.; Young, D.L.; Murugesan, K.; Tsa, C.C. (2005): Egenanayss for membranes wth strngers usng the methods of fundamenta soutons and doman decomposton, CMES: Computer Modeng n Engneerng & Scences, vo. 8, pp Cheng, A.H.-D. (2000): Mutayered Aqufer Systems Fundamentas and Appcatons, Marce Deer, New Yor/Base, USA. Cheng, A.H.-D. (2000): Partcuar soutons of Lapacan, Hemhotz-type, and poyharmonc operators nvovng hgher order rada bass functons, Engneerng Anayss wth Boundary Eements, vo. 24, pp Cheng, A.H.-D; Antes, H.; Ortner, N. (1994): Fundamenta soutons of products of Hemhotz and poyharmonc operators, Engneerng Anayss wth Boundary Eements, vo. 14, pp Cheng, A.H.-D.; Chen, C.S.; Goberg, M.A.; Rashed, Y.F. (2001): BEM for thermoeastcty and eastcty wth body force a revst, Engneerng Anayss wth Boundary Eements, vo. 25, pp Cheng, A.H.-D.; Cheng, D.T. (2005): Hertage and eary hstory of the boundary eement method, Engneerng Anayss wth Boundary Eements, vo. 29, pp Cheng, A.H.-D.; Lafe, O., Gr, S. (1994): Dua recprocty BEM based on goba nterpoaton functon functons, Engneerng Anayss wth Boundary Eements, vo. 13, pp Cheng, A.H.-D.; Morohunfoa, O.K. (1993): Mutayered eay aqufer systems: I. Pumpng we souton, Water Resources Research, vo. 29, pp Cheng, A.H.-D.; Morohunfoa, O.K. (1993): Mutayered eay aqufer systems: II. Boundary eement souton, Water Resources Research, vo. 29, pp Cozzano, B.S.; Rodríguez, B.S. (2007): The Trefftz boundary method n vscoeastcty, CMES: Computer Modeng n Engneerng & Scences, vo. 20, pp Dng, J.; Chen, C.S. (2007): Partcuar soutons of some eptc parta dfferenta equatons va recursve formuas, Journa of Unversty of Scence and Technoogy of Chna, vo. 37, pp Emdad, A.; Kansa, E.J.; Lbre, N.A.; Rahman, M.; Shearch, M. (2008): Stabe PDE souton methods for arge mutquadrc shape parameters, CMES: Computer Modeng n Engneerng & Scences, vo. 25, pp Goberg, M.A. (1995): The method of fundamenta soutons for Posson s equaton, Engneerng Anayss wth Boundary Eements, vo. 16, pp Goberg, M.A.; Chen, C.S. (1999): The method of fundamenta soutons for potenta, Hemhotz and dffuson probems, M. Goberg, M.A., edtor, Boundary ntegra methods: numerca and mathematca aspects, WIT Press and Computatona Mechancs Pubcatons, Boston, Southampton, pp Goberg, M.A.; Chen, C.S.; Karur, S.R. (1996): Improved mutquadrc approxmaton for parta dfferenta equatons, Engneerng Anayss wth Boundary Eements, vo. 18, pp Goberg, M.A.; Mueshov, A.S.; Chen, C.S.; Cheng, A.H.-D. (2003): Poynoma partcuar soutons for some parta dfferenta operators, Numerca Methods for Parta Dfferenta Equatons, vo. 19, pp Han, Z.D.; Lu, H.T.; Raendran, A.M.; Atur, S.N. (2006): The appcatons of meshess oca Petrov-Gaern (MLPG) approaches n hghspeed mpact, penetraton and perforaton probems, CMES: Computer Modeng n Engneerng & Scences, vo. 14, pp Hörmander, H. (1963): Lnear Parta Dfferenta Operators, Sprnger-Verag, Bern. Hu, S.P.; Young, D.L.; Fan, C.M. (2008): FDMFS for dffuson equaton wth unsteady forcng functon, CMES: Computer Modeng n Engneerng & Scences, vo. 24, pp Janssen, H.L.; Lambert H.L. (1992): Recursve
11 Partcuar Soutons of Chebyshev Poynomas for Poyharmonc and Poy-Hemhotz Equatons 161 constructon of partcuar soutons to nhomogeneous near parta dfferenta equatons of eptc type, Journa of Computatona and Apped Mathematcs, vo. 39, pp Gao, L.; Lu, K.; Lu, Y. (2006): Appcatons of MLPG method n dynamc fracture probems, CMES: Computer Modeng n Engneerng & Scences, vo. 12, pp Karageorghs, A.; Kyza, I. (2007): Effcent agorthms for approxmatng partcuar soutons of eptc equatons usng Chebyshev poynomas, Communcatons n Computatona Physcs, vo. 2, pp Kosec, G.; Šarer, B. (2008): Loca RBF coocaton method for Darcy fow, CMES: Computer Modeng n Engneerng & Scences, vo. 25, pp Kupradze, V.D.; Aesdze, M.A. (1964): The method of functona equatons for the approxmate souton of certan boundary vaue probems, USSR Computatona Mathematcs and Mathematca Physcs, vo. 4, pp L,X.;Chen,C.S.(2004): A mesh-free method usng hypernterpoaton and fast Fourer transform for sovng dfferenta equaton, Engneerng Anayss wth Boundary Eements, vo. 28, pp Lbre, N.A. ; Emdad, A.; Kansa, E.J.; Rahman, M.; Shearch, M. (2008): A stabzed RBF coocaton scheme for Neumann type boundary vaue probems, CMES: Computer Modeng n Engneerng & Scences, vo. 24, pp Lu, C.S. (2007A): A modfed Trefftz Method for two-dmensona Lapace equaton consderng the doman s characterstc ength, CMES: Computer Modeng n Engneerng & Scences, vo. 21, pp Lu, C.S. (2007B): A hghy accurate sover for the mxed-boundary potenta probem and snguar probem n arbtrary pane doman, CMES: Computer Modeng n Engneerng & Scences, vo. 20, No. 2, pp Mason, J.C.; Handscomb, D.C. (2003): Chebyshev Poynomas, Chapman & Ha/CRC, Boca Raton. Mueshov, A.S.; Goberg, M.A. (2007): Partcuar soutons of the mut-hemhotz-type equaton, Engneerng Anayss wth Boundary Eements, vo. 31, pp Mueshov, A.S. Goberg, M.A.; Chen, C.S. (1999): Partcuar soutons of Hemhotztype operators usng hgher order poyharmonc spnes, Computatona Mechancs, vo. 23, pp Nardn, D.; Brebba, C.A. (1982): A new approach to free vbraton anayss usng boundary eements, C. A. Brebba, edtor, Boundary eement methods n engneerng, Sprnger-Verag, New Yor, pp O Ne, P.V. (2002): Advanced Engneerng Mathematcs, Broos/Coe,USA. Reutsy, S.Y.; Chen, C.S. (2006): Approxmaton of mutvarate functons and evauaton of partcuar soutons usng Chebyshev poynoma and trgonometrc bass functons, Internatona Journa for Numerca Methods n Engneerng, vo. 67, pp Sade, J.; Sade, V., Wen, P.H.; Aabad, M.H. (2006): Meshess oca Petrov-Gaern (MLPG) method for shear deformabe shes anayss, CMES: Computer Modeng n Engneerng & Scences, vo. 13, pp Sade, J.; Sade, V.; Zhang, Ch.; Soe P. (2007): Appcaton of the MLPG to thermopezoeectrcty, CMES: Computer Modeng n Engneerng & Scences, vo. 22, pp Smyrs, Y.S.; Karageorghs, A. (2003): Some aspects of the method of fundamenta soutons for certan bharmonc probems, CMES: Computer Modeng n Engneerng & Scences, vo. 4, pp Tsa, C.C.; Ln, Y.C.; Young, D.L.; Atur, S.N. (2006): Investgatons on the accuracy and condton number for the method of fundamenta soutons, CMES: Computer Modeng n Engneerng & Scences, vo. 16, pp Tsa, C.C.; Young, D.L.; Cheng, A.H.-D. (2002): Meshess BEM for three-dmensona Stoes fows, CMES: Computer Modeng n Engneerng & Scences, vo. 3, pp
12 162 Copyrght c 2008 Tech Scence Press CMES, vo.27, no.3, pp , 2008 Wu, X.H.; Shen, S.P.; Tao, W.Q. (2007): Meshess Loca Petrov-Gaern coocaton method for two-dmensona heat conducton probems, CMES: Computer Modeng n Engneerng & Scences, vo. 22, pp Young, D.L.; Chen, K.H.; Chen, J.T.; Kao, J.H. (2007): A modfed method of fundamenta soutons wth source on the boundary for sovng Lapace equatons wth Crcuar and arbtrary domans, CMES: Computer Modeng n Engneerng & Scences, vo. 19, pp Young, D.L.; Ruan J.W. (2005): Method of fundamenta soutons for scatterng probems of eectromagnetc waves, CMES: Computer Modeng n Engneerng & Scences, vo. 7, pp Zhu, T.; Zhang, J.; Atur, S.N. (1998): A meshess oca boundary ntegra equaton (LBIE) method for sovng nonnear probems, Computatona Mechancs, vo. 22, pp
Research on Complex Networks Control Based on Fuzzy Integral Sliding Theory
Advanced Scence and Technoogy Letters Vo.83 (ISA 205), pp.60-65 http://dx.do.org/0.4257/ast.205.83.2 Research on Compex etworks Contro Based on Fuzzy Integra Sdng Theory Dongsheng Yang, Bngqng L, 2, He
More informationThe line method combined with spectral chebyshev for space-time fractional diffusion equation
Apped and Computatona Mathematcs 014; 3(6): 330-336 Pubshed onne December 31, 014 (http://www.scencepubshnggroup.com/j/acm) do: 10.1164/j.acm.0140306.17 ISS: 3-5605 (Prnt); ISS: 3-5613 (Onne) The ne method
More informationA finite difference method for heat equation in the unbounded domain
Internatona Conerence on Advanced ectronc Scence and Technoogy (AST 6) A nte derence method or heat equaton n the unbounded doman a Quan Zheng and Xn Zhao Coege o Scence North Chna nversty o Technoogy
More informationBoundary Value Problems. Lecture Objectives. Ch. 27
Boundar Vaue Probes Ch. 7 Lecture Obectves o understand the dfference between an nta vaue and boundar vaue ODE o be abe to understand when and how to app the shootng ethod and FD ethod. o understand what
More informationON AUTOMATIC CONTINUITY OF DERIVATIONS FOR BANACH ALGEBRAS WITH INVOLUTION
European Journa of Mathematcs and Computer Scence Vo. No. 1, 2017 ON AUTOMATC CONTNUTY OF DERVATONS FOR BANACH ALGEBRAS WTH NVOLUTON Mohamed BELAM & Youssef T DL MATC Laboratory Hassan Unversty MORO CCO
More informationA new Approach for Solving Linear Ordinary Differential Equations
, ISSN 974-57X (Onlne), ISSN 974-5718 (Prnt), Vol. ; Issue No. 1; Year 14, Copyrght 13-14 by CESER PUBLICATIONS A new Approach for Solvng Lnear Ordnary Dfferental Equatons Fawz Abdelwahd Department of
More informationCyclic Codes BCH Codes
Cycc Codes BCH Codes Gaos Feds GF m A Gaos fed of m eements can be obtaned usng the symbos 0,, á, and the eements beng 0,, á, á, á 3 m,... so that fed F* s cosed under mutpcaton wth m eements. The operator
More informationA DIMENSION-REDUCTION METHOD FOR STOCHASTIC ANALYSIS SECOND-MOMENT ANALYSIS
A DIMESIO-REDUCTIO METHOD FOR STOCHASTIC AALYSIS SECOD-MOMET AALYSIS S. Rahman Department of Mechanca Engneerng and Center for Computer-Aded Desgn The Unversty of Iowa Iowa Cty, IA 52245 June 2003 OUTLIE
More informationChapter 6. Rotations and Tensors
Vector Spaces n Physcs 8/6/5 Chapter 6. Rotatons and ensors here s a speca knd of near transformaton whch s used to transforms coordnates from one set of axes to another set of axes (wth the same orgn).
More informationNeural network-based athletics performance prediction optimization model applied research
Avaabe onne www.jocpr.com Journa of Chemca and Pharmaceutca Research, 04, 6(6):8-5 Research Artce ISSN : 0975-784 CODEN(USA) : JCPRC5 Neura networ-based athetcs performance predcton optmzaton mode apped
More informationk p theory for bulk semiconductors
p theory for bu seconductors The attce perodc ndependent partce wave equaton s gven by p + V r + V p + δ H rψ ( r ) = εψ ( r ) (A) 4c In Eq. (A) V ( r ) s the effectve attce perodc potenta caused by the
More informationQuantum Runge-Lenz Vector and the Hydrogen Atom, the hidden SO(4) symmetry
Quantum Runge-Lenz ector and the Hydrogen Atom, the hdden SO(4) symmetry Pasca Szrftgser and Edgardo S. Cheb-Terrab () Laboratore PhLAM, UMR CNRS 85, Unversté Le, F-59655, France () Mapesoft Let's consder
More informationMARKOV CHAIN AND HIDDEN MARKOV MODEL
MARKOV CHAIN AND HIDDEN MARKOV MODEL JIAN ZHANG JIANZHAN@STAT.PURDUE.EDU Markov chan and hdden Markov mode are probaby the smpest modes whch can be used to mode sequenta data,.e. data sampes whch are not
More informationNON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS
IJRRAS 8 (3 September 011 www.arpapress.com/volumes/vol8issue3/ijrras_8_3_08.pdf NON-CENTRAL 7-POINT FORMULA IN THE METHOD OF LINES FOR PARABOLIC AND BURGERS' EQUATIONS H.O. Bakodah Dept. of Mathematc
More informationOn the Power Function of the Likelihood Ratio Test for MANOVA
Journa of Mutvarate Anayss 8, 416 41 (00) do:10.1006/jmva.001.036 On the Power Functon of the Lkehood Rato Test for MANOVA Dua Kumar Bhaumk Unversty of South Aabama and Unversty of Inos at Chcago and Sanat
More informationNumerical integration in more dimensions part 2. Remo Minero
Numerca ntegraton n more dmensons part Remo Mnero Outne The roe of a mappng functon n mutdmensona ntegraton Gauss approach n more dmensons and quadrature rues Crtca anass of acceptabt of a gven quadrature
More informationDevelopment of whole CORe Thermal Hydraulic analysis code CORTH Pan JunJie, Tang QiFen, Chai XiaoMing, Lu Wei, Liu Dong
Deveopment of whoe CORe Therma Hydrauc anayss code CORTH Pan JunJe, Tang QFen, Cha XaoMng, Lu We, Lu Dong cence and technoogy on reactor system desgn technoogy, Nucear Power Insttute of Chna, Chengdu,
More informationPredicting Model of Traffic Volume Based on Grey-Markov
Vo. No. Modern Apped Scence Predctng Mode of Traffc Voume Based on Grey-Marov Ynpeng Zhang Zhengzhou Muncpa Engneerng Desgn & Research Insttute Zhengzhou 5005 Chna Abstract Grey-marov forecastng mode of
More informationOne-sided finite-difference approximations suitable for use with Richardson extrapolation
Journal of Computatonal Physcs 219 (2006) 13 20 Short note One-sded fnte-dfference approxmatons sutable for use wth Rchardson extrapolaton Kumar Rahul, S.N. Bhattacharyya * Department of Mechancal Engneerng,
More informationNote On Some Identities of New Combinatorial Integers
Apped Mathematcs & Informaton Scences 5(3 (20, 500-53 An Internatona Journa c 20 NSP Note On Some Identtes of New Combnatora Integers Adem Kııçman, Cenap Öze 2 and Ero Yımaz 3 Department of Mathematcs
More informationNote 2. Ling fong Li. 1 Klein Gordon Equation Probablity interpretation Solutions to Klein-Gordon Equation... 2
Note 2 Lng fong L Contents Ken Gordon Equaton. Probabty nterpretaton......................................2 Soutons to Ken-Gordon Equaton............................... 2 2 Drac Equaton 3 2. Probabty nterpretaton.....................................
More information3. Stress-strain relationships of a composite layer
OM PO I O U P U N I V I Y O F W N ompostes ourse 8-9 Unversty of wente ng. &ech... tress-stran reatonshps of a composte ayer - Laurent Warnet & emo Aerman.. tress-stran reatonshps of a composte ayer Introducton
More informationCHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE
CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng
More informationApproximate merging of a pair of BeÂzier curves
COMPUTER-AIDED DESIGN Computer-Aded Desgn 33 (1) 15±136 www.esever.com/ocate/cad Approxmate mergng of a par of BeÂzer curves Sh-Mn Hu a,b, *, Rou-Feng Tong c, Tao Ju a,b, Ja-Guang Sun a,b a Natona CAD
More informationAn Effective Space Charge Solver. for DYNAMION Code
A. Orzhehovsaya W. Barth S. Yaramyshev GSI Hemhotzzentrum für Schweronenforschung (Darmstadt) An Effectve Space Charge Sover for DYNAMION Code Introducton Genera space charge agorthms based on the effectve
More informationLecture 12: Discrete Laplacian
Lecture 12: Dscrete Laplacan Scrbe: Tanye Lu Our goal s to come up wth a dscrete verson of Laplacan operator for trangulated surfaces, so that we can use t n practce to solve related problems We are mostly
More informationNew Method for Solving Poisson Equation. on Irregular Domains
Appled Mathematcal Scences Vol. 6 01 no. 8 369 380 New Method for Solvng Posson Equaton on Irregular Domans J. Izadan and N. Karamooz Department of Mathematcs Facult of Scences Mashhad BranchIslamc Azad
More informationLinear Approximation with Regularization and Moving Least Squares
Lnear Approxmaton wth Regularzaton and Movng Least Squares Igor Grešovn May 007 Revson 4.6 (Revson : March 004). 5 4 3 0.5 3 3.5 4 Contents: Lnear Fttng...4. Weghted Least Squares n Functon Approxmaton...
More informationNumerical Heat and Mass Transfer
Master degree n Mechancal Engneerng Numercal Heat and Mass Transfer 06-Fnte-Dfference Method (One-dmensonal, steady state heat conducton) Fausto Arpno f.arpno@uncas.t Introducton Why we use models and
More informationPHYS 705: Classical Mechanics. Canonical Transformation II
1 PHYS 705: Classcal Mechancs Canoncal Transformaton II Example: Harmonc Oscllator f ( x) x m 0 x U( x) x mx x LT U m Defne or L p p mx x x m mx x H px L px p m p x m m H p 1 x m p m 1 m H x p m x m m
More informationLECTURE 21 Mohr s Method for Calculation of General Displacements. 1 The Reciprocal Theorem
V. DEMENKO MECHANICS OF MATERIALS 05 LECTURE Mohr s Method for Cacuaton of Genera Dspacements The Recproca Theorem The recproca theorem s one of the genera theorems of strength of materas. It foows drect
More informationKey words. corner singularities, energy-corrected finite element methods, optimal convergence rates, pollution effect, re-entrant corners
NESTED NEWTON STRATEGIES FOR ENERGY-CORRECTED FINITE ELEMENT METHODS U. RÜDE1, C. WALUGA 2, AND B. WOHLMUTH 2 Abstract. Energy-corrected fnte eement methods provde an attractve technque to dea wth eptc
More informationDeriving the Dual. Prof. Bennett Math of Data Science 1/13/06
Dervng the Dua Prof. Bennett Math of Data Scence /3/06 Outne Ntty Grtty for SVM Revew Rdge Regresson LS-SVM=KRR Dua Dervaton Bas Issue Summary Ntty Grtty Need Dua of w, b, z w 2 2 mn st. ( x w ) = C z
More informationQUARTERLY OF APPLIED MATHEMATICS
QUARTERLY OF APPLIED MATHEMATICS Voume XLI October 983 Number 3 DIAKOPTICS OR TEARING-A MATHEMATICAL APPROACH* By P. W. AITCHISON Unversty of Mantoba Abstract. The method of dakoptcs or tearng was ntroduced
More informationON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION
Advanced Mathematcal Models & Applcatons Vol.3, No.3, 2018, pp.215-222 ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EUATION
More informationSolution of Linear System of Equations and Matrix Inversion Gauss Seidel Iteration Method
Soluton of Lnear System of Equatons and Matr Inverson Gauss Sedel Iteraton Method It s another well-known teratve method for solvng a system of lnear equatons of the form a + a22 + + ann = b a2 + a222
More informationn α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0
MODULE 2 Topcs: Lnear ndependence, bass and dmenson We have seen that f n a set of vectors one vector s a lnear combnaton of the remanng vectors n the set then the span of the set s unchanged f that vector
More informationSampling-based Approach for Design Optimization in the Presence of Interval Variables
0 th Word Congress on Structura and Mutdscpnary Optmzaton May 9-4, 03, Orando, orda, USA Sampng-based Approach for Desgn Optmzaton n the Presence of nterva Varabes Davd Yoo and kn Lee Unversty of Connectcut,
More informationLower bounds for the Crossing Number of the Cartesian Product of a Vertex-transitive Graph with a Cycle
Lower bounds for the Crossng Number of the Cartesan Product of a Vertex-transtve Graph wth a Cyce Junho Won MIT-PRIMES December 4, 013 Abstract. The mnmum number of crossngs for a drawngs of a gven graph
More informationAssociative Memories
Assocatve Memores We consder now modes for unsupervsed earnng probems, caed auto-assocaton probems. Assocaton s the task of mappng patterns to patterns. In an assocatve memory the stmuus of an ncompete
More informationDifference Equations
Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1
More informationApplication of B-Spline to Numerical Solution of a System of Singularly Perturbed Problems
Mathematca Aeterna, Vol. 1, 011, no. 06, 405 415 Applcaton of B-Splne to Numercal Soluton of a System of Sngularly Perturbed Problems Yogesh Gupta Department of Mathematcs Unted College of Engneerng &
More informationExample: Suppose we want to build a classifier that recognizes WebPages of graduate students.
Exampe: Suppose we want to bud a cassfer that recognzes WebPages of graduate students. How can we fnd tranng data? We can browse the web and coect a sampe of WebPages of graduate students of varous unverstes.
More informationTHE STURM-LIOUVILLE EIGENVALUE PROBLEM - A NUMERICAL SOLUTION USING THE CONTROL VOLUME METHOD
Journal of Appled Mathematcs and Computatonal Mechancs 06, 5(), 7-36 www.amcm.pcz.pl p-iss 99-9965 DOI: 0.75/jamcm.06..4 e-iss 353-0588 THE STURM-LIOUVILLE EIGEVALUE PROBLEM - A UMERICAL SOLUTIO USIG THE
More informationSolution of a nonsymmetric algebraic Riccati equation from a one-dimensional multistate transport model
IMA Journa of Numerca Anayss (2011) 1, 145 1467 do:10.109/manum/drq04 Advance Access pubcaton on May 0, 2011 Souton of a nonsymmetrc agebrac Rccat equaton from a one-dmensona mutstate transport mode TIEXIANG
More informationwe have E Y x t ( ( xl)) 1 ( xl), e a in I( Λ ) are as follows:
APPENDICES Aendx : the roof of Equaton (6 For j m n we have Smary from Equaton ( note that j '( ( ( j E Y x t ( ( x ( x a V ( ( x a ( ( x ( x b V ( ( x b V x e d ( abx ( ( x e a a bx ( x xe b a bx By usng
More informationSalmon: Lectures on partial differential equations. Consider the general linear, second-order PDE in the form. ,x 2
Salmon: Lectures on partal dfferental equatons 5. Classfcaton of second-order equatons There are general methods for classfyng hgher-order partal dfferental equatons. One s very general (applyng even to
More informationELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM
ELASTIC WAVE PROPAGATION IN A CONTINUOUS MEDIUM An elastc wave s a deformaton of the body that travels throughout the body n all drectons. We can examne the deformaton over a perod of tme by fxng our look
More informationThe internal structure of natural numbers and one method for the definition of large prime numbers
The nternal structure of natural numbers and one method for the defnton of large prme numbers Emmanul Manousos APM Insttute for the Advancement of Physcs and Mathematcs 3 Poulou str. 53 Athens Greece Abstract
More informationChapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems
Numercal Analyss by Dr. Anta Pal Assstant Professor Department of Mathematcs Natonal Insttute of Technology Durgapur Durgapur-713209 emal: anta.bue@gmal.com 1 . Chapter 5 Soluton of System of Lnear Equatons
More informationTransfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system
Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng
More informationA MIN-MAX REGRET ROBUST OPTIMIZATION APPROACH FOR LARGE SCALE FULL FACTORIAL SCENARIO DESIGN OF DATA UNCERTAINTY
A MIN-MAX REGRET ROBST OPTIMIZATION APPROACH FOR ARGE SCAE F FACTORIA SCENARIO DESIGN OF DATA NCERTAINTY Travat Assavapokee Department of Industra Engneerng, nversty of Houston, Houston, Texas 7704-4008,
More informationON MECHANICS WITH VARIABLE NONCOMMUTATIVITY
ON MECHANICS WITH VARIABLE NONCOMMUTATIVITY CIPRIAN ACATRINEI Natonal Insttute of Nuclear Physcs and Engneerng P.O. Box MG-6, 07725-Bucharest, Romana E-mal: acatrne@theory.npne.ro. Receved March 6, 2008
More informationImage Classification Using EM And JE algorithms
Machne earnng project report Fa, 2 Xaojn Sh, jennfer@soe Image Cassfcaton Usng EM And JE agorthms Xaojn Sh Department of Computer Engneerng, Unversty of Caforna, Santa Cruz, CA, 9564 jennfer@soe.ucsc.edu
More informationPhysics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1
P. Guterrez Physcs 5153 Classcal Mechancs D Alembert s Prncple and The Lagrangan 1 Introducton The prncple of vrtual work provdes a method of solvng problems of statc equlbrum wthout havng to consder the
More informationn-step cycle inequalities: facets for continuous n-mixing set and strong cuts for multi-module capacitated lot-sizing problem
n-step cyce nequates: facets for contnuous n-mxng set and strong cuts for mut-modue capactated ot-szng probem Mansh Bansa and Kavash Kanfar Department of Industra and Systems Engneerng, Texas A&M Unversty,
More informationLecture 13 APPROXIMATION OF SECOMD ORDER DERIVATIVES
COMPUTATIONAL FLUID DYNAMICS: FDM: Appromaton of Second Order Dervatves Lecture APPROXIMATION OF SECOMD ORDER DERIVATIVES. APPROXIMATION OF SECOND ORDER DERIVATIVES Second order dervatves appear n dffusve
More informationMODEL TUNING WITH THE USE OF HEURISTIC-FREE GMDH (GROUP METHOD OF DATA HANDLING) NETWORKS
MODEL TUNING WITH THE USE OF HEURISTIC-FREE (GROUP METHOD OF DATA HANDLING) NETWORKS M.C. Schrver (), E.J.H. Kerchoffs (), P.J. Water (), K.D. Saman () () Rswaterstaat Drecte Zeeand () Deft Unversty of
More information[WAVES] 1. Waves and wave forces. Definition of waves
1. Waves and forces Defnton of s In the smuatons on ong-crested s are consdered. The drecton of these s (μ) s defned as sketched beow n the goba co-ordnate sstem: North West East South The eevaton can
More informationBézier curves. Michael S. Floater. September 10, These notes provide an introduction to Bézier curves. i=0
Bézer curves Mchael S. Floater September 1, 215 These notes provde an ntroducton to Bézer curves. 1 Bernsten polynomals Recall that a real polynomal of a real varable x R, wth degree n, s a functon of
More informationThe Jacobsthal and Jacobsthal-Lucas Numbers via Square Roots of Matrices
Internatonal Mathematcal Forum, Vol 11, 2016, no 11, 513-520 HIKARI Ltd, wwwm-hkarcom http://dxdoorg/1012988/mf20166442 The Jacobsthal and Jacobsthal-Lucas Numbers va Square Roots of Matrces Saadet Arslan
More informationGeorgia Tech PHYS 6124 Mathematical Methods of Physics I
Georga Tech PHYS 624 Mathematcal Methods of Physcs I Instructor: Predrag Cvtanovć Fall semester 202 Homework Set #7 due October 30 202 == show all your work for maxmum credt == put labels ttle legends
More informationLecture 5 Decoding Binary BCH Codes
Lecture 5 Decodng Bnary BCH Codes In ths class, we wll ntroduce dfferent methods for decodng BCH codes 51 Decodng the [15, 7, 5] 2 -BCH Code Consder the [15, 7, 5] 2 -code C we ntroduced n the last lecture
More informationAdvanced Circuits Topics - Part 1 by Dr. Colton (Fall 2017)
Advanced rcuts Topcs - Part by Dr. olton (Fall 07) Part : Some thngs you should already know from Physcs 0 and 45 These are all thngs that you should have learned n Physcs 0 and/or 45. Ths secton s organzed
More informationDigital Signal Processing
Dgtal Sgnal Processng Dscrete-tme System Analyss Manar Mohasen Offce: F8 Emal: manar.subh@ut.ac.r School of IT Engneerng Revew of Precedent Class Contnuous Sgnal The value of the sgnal s avalable over
More informationMore metrics on cartesian products
More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of
More informationAsymptotics of the Solution of a Boundary Value. Problem for One-Characteristic Differential. Equation Degenerating into a Parabolic Equation
Nonl. Analyss and Dfferental Equatons, ol., 4, no., 5 - HIKARI Ltd, www.m-har.com http://dx.do.org/.988/nade.4.456 Asymptotcs of the Soluton of a Boundary alue Problem for One-Characterstc Dfferental Equaton
More informationG : Statistical Mechanics
G25.2651: Statstca Mechancs Notes for Lecture 11 I. PRINCIPLES OF QUANTUM STATISTICAL MECHANICS The probem of quantum statstca mechancs s the quantum mechanca treatment of an N-partce system. Suppose the
More informationBezier curves. Michael S. Floater. August 25, These notes provide an introduction to Bezier curves. i=0
Bezer curves Mchael S. Floater August 25, 211 These notes provde an ntroducton to Bezer curves. 1 Bernsten polynomals Recall that a real polynomal of a real varable x R, wth degree n, s a functon of the
More informationAndre Schneider P622
Andre Schneder P6 Probem Set #0 March, 00 Srednc 7. Suppose that we have a theory wth Negectng the hgher order terms, show that Souton Knowng β(α and γ m (α we can wrte β(α =b α O(α 3 (. γ m (α =c α O(α
More informationThe Exact Formulation of the Inverse of the Tridiagonal Matrix for Solving the 1D Poisson Equation with the Finite Difference Method
Journal of Electromagnetc Analyss and Applcatons, 04, 6, 0-08 Publshed Onlne September 04 n ScRes. http://www.scrp.org/journal/jemaa http://dx.do.org/0.46/jemaa.04.6000 The Exact Formulaton of the Inverse
More informationChapter 4 The Wave Equation
Chapter 4 The Wave Equaton Another classcal example of a hyperbolc PDE s a wave equaton. The wave equaton s a second-order lnear hyperbolc PDE that descrbes the propagaton of a varety of waves, such as
More informationInternational Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013) equation. E. M. E. Zayed and S. A.
Internatonal Conference on Advanced Computer Scence and Electroncs Informaton (ICACSEI ) The two varable (G'/G/G) -expanson method for fndng exact travelng wave solutons of the (+) dmensonal nonlnear potental
More informationarxiv: v1 [math.ho] 18 May 2008
Recurrence Formulas for Fbonacc Sums Adlson J. V. Brandão, João L. Martns 2 arxv:0805.2707v [math.ho] 8 May 2008 Abstract. In ths artcle we present a new recurrence formula for a fnte sum nvolvng the Fbonacc
More informationPolite Water-filling for Weighted Sum-rate Maximization in MIMO B-MAC Networks under. Multiple Linear Constraints
2011 IEEE Internatona Symposum on Informaton Theory Proceedngs Pote Water-fng for Weghted Sum-rate Maxmzaton n MIMO B-MAC Networks under Mutpe near Constrants An u 1, Youjan u 2, Vncent K. N. au 3, Hage
More informationLINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity
LINEAR REGRESSION ANALYSIS MODULE IX Lecture - 30 Multcollnearty Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur 2 Remedes for multcollnearty Varous technques have
More informationA New Refinement of Jacobi Method for Solution of Linear System Equations AX=b
Int J Contemp Math Scences, Vol 3, 28, no 17, 819-827 A New Refnement of Jacob Method for Soluton of Lnear System Equatons AX=b F Naem Dafchah Department of Mathematcs, Faculty of Scences Unversty of Gulan,
More informationCOMBINING SPATIAL COMPONENTS IN SEISMIC DESIGN
Transactons, SMRT- COMBINING SPATIAL COMPONENTS IN SEISMIC DESIGN Mchae O Leary, PhD, PE and Kevn Huberty, PE, SE Nucear Power Technooges Dvson, Sargent & Lundy, Chcago, IL 6060 ABSTRACT Accordng to Reguatory
More information1 Matrix representations of canonical matrices
1 Matrx representatons of canoncal matrces 2-d rotaton around the orgn: ( ) cos θ sn θ R 0 = sn θ cos θ 3-d rotaton around the x-axs: R x = 1 0 0 0 cos θ sn θ 0 sn θ cos θ 3-d rotaton around the y-axs:
More informationMultispectral Remote Sensing Image Classification Algorithm Based on Rough Set Theory
Proceedngs of the 2009 IEEE Internatona Conference on Systems Man and Cybernetcs San Antono TX USA - October 2009 Mutspectra Remote Sensng Image Cassfcaton Agorthm Based on Rough Set Theory Yng Wang Xaoyun
More information22.51 Quantum Theory of Radiation Interactions
.51 Quantum Theory of Radaton Interactons Fna Exam - Soutons Tuesday December 15, 009 Probem 1 Harmonc oscator 0 ponts Consder an harmonc oscator descrbed by the Hamtonan H = ω(nˆ + ). Cacuate the evouton
More informationA General Column Generation Algorithm Applied to System Reliability Optimization Problems
A Genera Coumn Generaton Agorthm Apped to System Reabty Optmzaton Probems Lea Za, Davd W. Cot, Department of Industra and Systems Engneerng, Rutgers Unversty, Pscataway, J 08854, USA Abstract A genera
More informationFormulas for the Determinant
page 224 224 CHAPTER 3 Determnants e t te t e 2t 38 A = e t 2te t e 2t e t te t 2e 2t 39 If 123 A = 345, 456 compute the matrx product A adj(a) What can you conclude about det(a)? For Problems 40 43, use
More informationCanonical transformations
Canoncal transformatons November 23, 2014 Recall that we have defned a symplectc transformaton to be any lnear transformaton M A B leavng the symplectc form nvarant, Ω AB M A CM B DΩ CD Coordnate transformatons,
More informationThe stress functions of the Cosserat continuum
De Spannungsfuncktonen des Cosserat-Kontnuum ZAMM 47 (967) 9-6 The stress functons of the Cosserat contnuum By S KESSE Transated by D H Dephench The equbrum condtons of the Cosserat contnuum are satsfed
More informationThe Order Relation and Trace Inequalities for. Hermitian Operators
Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence
More informationGeneralized Linear Methods
Generalzed Lnear Methods 1 Introducton In the Ensemble Methods the general dea s that usng a combnaton of several weak learner one could make a better learner. More formally, assume that we have a set
More informationPHYS 705: Classical Mechanics. Newtonian Mechanics
1 PHYS 705: Classcal Mechancs Newtonan Mechancs Quck Revew of Newtonan Mechancs Basc Descrpton: -An dealzed pont partcle or a system of pont partcles n an nertal reference frame [Rgd bodes (ch. 5 later)]
More informationMaejo International Journal of Science and Technology
Maejo Int. J. Sc. Technol. () - Full Paper Maejo Internatonal Journal of Scence and Technology ISSN - Avalable onlne at www.mjst.mju.ac.th Fourth-order method for sngularly perturbed sngular boundary value
More informationCOXREG. Estimation (1)
COXREG Cox (972) frst suggested the modes n whch factors reated to fetme have a mutpcatve effect on the hazard functon. These modes are caed proportona hazards (PH) modes. Under the proportona hazards
More informationNUMERICAL DIFFERENTIATION
NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the
More informationAppendix B. The Finite Difference Scheme
140 APPENDIXES Appendx B. The Fnte Dfference Scheme In ths appendx we present numercal technques whch are used to approxmate solutons of system 3.1 3.3. A comprehensve treatment of theoretcal and mplementaton
More informationCopyright 2014 Tech Science Press CMC, vol.43, no.2, pp.87-95, 2014
Copyrght 2014 Tech Scence Press CMC, vol.43, no.2, pp.87-95, 2014 Analytcal Treatment of the Isotropc and Tetragonal Lattce Green Functons for the Face-centered Cubc, Body-centered Cubc and Smple Cubc
More informationMAXIMUM NORM STABILITY OF DIFFERENCE SCHEMES FOR PARABOLIC EQUATIONS ON OVERSET NONMATCHING SPACE-TIME GRIDS
MATHEMATICS OF COMPUTATION Voume 72 Number 242 Pages 619 656 S 0025-57180201462-X Artce eectroncay pubshed on November 4 2002 MAXIMUM NORM STABILITY OF DIFFERENCE SCHEMES FOR PARABOLIC EQUATIONS ON OVERSET
More informationDIOPHANTINE EQUATIONS WITH BINOMIAL COEFFICIENTS AND PERTURBATIONS OF SYMMETRIC BOOLEAN FUNCTIONS
DIOPHANTINE EQUATIONS WITH BINOMIAL COEFFICIENTS AND PERTURBATIONS OF SYMMETRIC BOOLEAN FUNCTIONS FRANCIS N CASTRO, OSCAR E GONZÁLEZ, AND LUIS A MEDINA Abstract Ths work presents a study of perturbatons
More informationA MODIFIED METHOD FOR SOLVING SYSTEM OF NONLINEAR EQUATIONS
Journal of Mathematcs and Statstcs 9 (1): 4-8, 1 ISSN 1549-644 1 Scence Publcatons do:1.844/jmssp.1.4.8 Publshed Onlne 9 (1) 1 (http://www.thescpub.com/jmss.toc) A MODIFIED METHOD FOR SOLVING SYSTEM OF
More informationLecture 4: Universal Hash Functions/Streaming Cont d
CSE 5: Desgn and Analyss of Algorthms I Sprng 06 Lecture 4: Unversal Hash Functons/Streamng Cont d Lecturer: Shayan Oves Gharan Aprl 6th Scrbe: Jacob Schreber Dsclamer: These notes have not been subjected
More informationSolving Fractional Nonlinear Fredholm Integro-differential Equations via Hybrid of Rationalized Haar Functions
ISSN 746-7659 England UK Journal of Informaton and Computng Scence Vol. 9 No. 3 4 pp. 69-8 Solvng Fractonal Nonlnear Fredholm Integro-dfferental Equatons va Hybrd of Ratonalzed Haar Functons Yadollah Ordokhan
More informationRepresentation of correlation functions in variational assimilation using an implicit diffusion operator
Quartery Journa of the Roya Meteoroogca Socety Q. J. R. Meteoro. Soc. 36: 4 443, Juy Part B Representaton of correaton functons n varatona assmaton usng an mpct dffuson operator I. Mrouze a and A. T. Weaver
More informationSOME CHARACTERS OF THE SYMMETRIC GROUP R. E. INGRAM, SJ.
SOME CHARACTERS OF THE SYMMETRIC GROUP R. E. INGRAM, SJ. Introducton. Frobenus []1 derved expressons for the characters of a few very smpe casses of Sm, the symmetrc group on m thngs. Here we gve formuas
More information