Combined Wronskian solutions to the 2D Toda molecule equation

Size: px
Start display at page:

Download "Combined Wronskian solutions to the 2D Toda molecule equation"

Transcription

1 Combned Wronskan solutons to the 2D Toda molecule equaton Wen-Xu Ma Department of Mathematcs and Statstcs, Unversty of South Florda, Tampa, FL , USA Abstract By combnng two peces of b-drectonal Wronskan solutons, molecule solutons n Wronskan form are presented for the fnte, sem-nfnte and nfnte blnear 2D Toda molecule equatons. In the cases of fnte and sem-nfnte lattces, separated-varable boundary condtons are mposed. The Jacob denttes for determnants are the key tool employed n the soluton formulatons. Key words: Toda lattce, Wronskan soluton, Solton equaton PACS: Ik, p 1 Introducton The study of solton equatons presents nterestng mathematcal theores to deal wth nonlnear equatons. Wronskan determnants, double Wronskan determnants and bdrectonal Wronskan determnants are used to construct exact solutons to solton equatons, among whch are the KdV equaton, the Boussnesq equaton, the KP equaton, the Toda lattce equaton and the 2D Toda lattce equaton see, e.g., 1-10). The Plücker relatons for determnants and the Jacob denttes for determnants are the key tools employed n formulatng exact solutons to solton equatons 1, 11. Generc mult-exponental wave solutons can be constructed by the multple expfuncton method 12. The approach generalzes the transformed ratonal functon method 13 and the Hrota perturbaton technque 1, and t s very powerful whle applyng computer algebra systems 12. The resultng multple wave solutons contan lnear combnaton solutons of exponental waves 14, 15 and resonant soltons 16. Emal: mawx@cas.usf.edu 1

2 Ths also shows that solton equatons can possess lnear superpostons among partcular solutons 14, 15, and thus possess lnear subspaces of solutons. Therefore, though solton equatons are nonlnear, they are good neghbors to lnear equatons. However, gven the complexty that nonlnear equatons brng, there s a need to develop more explct and systematc formulatons for generatng exact solutons. Ths paper s one of such exploratons. In ths paper, we would lke to formulate molecule b-drectonal Wronskan solutons for the 2D Toda molecule 2DTM) equaton n blnear form: 2 τ n x τ n τ n τ n x = τ n+1τ n 1 n three cases of the fnte lattce: 1 n N, the sem-nfnte lattce: 1 n <, and the nfnte lattce: < n <. For the frst two cases, we mpose the separatedvarable boundary condtons: τ 0 = φ 1 x)χ 1 y), τ N+1 = φ 2 x)χ 2 y); and τ 0 = φx)χy); respectvely, where all φ- and χ-functons are arbtrarly gven. The dfference among these three cases s that we smply don t requre any boundary condtons at n = ±. We wll show that combnng two peces of b-drectonal Wronskan solutons 17 yelds a requred molecule soluton. By molecule solutons, we mean a knd of determnant solutons whose determnants have orders dependng on the dscrete ndependent varable n. The Jacob denttes for determnants are the key tool employed n the soluton formulatons 2 B-drectonal Wronskans and the Jacob dentty We provde the defnton of the b-drectonal Wronskan determnant and dscuss the Jacob dentty for determnants for the reader s convenence and ease of reference. A b-drectonal Wronskan determnant s defned as follows. Defnton 2.1 A b-drectonal Wronskan determnant of order n assocated wth 2

3 Υ = Υx, y) s defned by 1 ) 1Υ = 1, n Υ Υ n 1 n 1 Υ x Υ 2 x Υ n x n 1 Υ. n 1 x n 1 Υ..... n x n 1 Υ 2n 2 x n 1 n 1 Υ. 2.1) The determnant n 2.1) s a Wronskan determnant n both horzontal and vertcal drectons. That s why t s called b-drectonal. Let us next state the Jacob dentty and gve a drect proof by usng the Laplace Expanson Theorem. Let n > 2 be an nteger, A = a, ) 1, n be a square matrx of order n and D denote the determnant of A, that s, So D s an nth-order determnant. D = deta) = a, 1, n. 2.2) The, ) mnor of A s defned as the n 1)th-order determnant obtaned by strkng out the th row and the th column of D, denoted by D. All such mnors are called frst mnors. The, ; k, l) mnor of A s defned as the n 2)thorder determnant obtaned by strkng out the th and th rows and the kth and lth, columns of D, denoted by D. All such mnors are called second mnors. k, l Now we can state the Jacob dentty 1, 18 as follows. Theorem 2.1 Let n > 3, A = a, ) 1, n and D = deta). For 1 n, we have, D D D D = D k, l D, 2.3), where D and D k, l are the, ) mnor and the, ; k, l) mnor of A, respectvely. Proof: By the propertes of determnants, wthout loss of generalty, we only need to verfy the Jacob dentty for = 1 and = 2. Let us denote the, ) cofactor of A by 3

4 C, : C, = 1) + D. 2.4) We partton the matrx A nto four blocks as follows: A1 A a1,1 A = 2 a 1,2, A A 3 A 1 =. 2.5) 4 a 2,1 a 2,2 By the Laplace Expanson Theorem, we have C 1,1 C 1,2 0 C 2,1 C 2,2 A1 A 2 C 3,1 C 3,2 1 0 A 3 A C n,1 C n,2 0 1 = D 0 0 D A 2 0 A 4. Takng determnants on both sdes leads to DC 1,1 C 2,2 C 1,2 C 2,1 ) = D 1, 2 1, 2 D ) If D 0, ths gves the desred Jacob dentty, upon usng 2.4). If D = 0, we take another matrx A = A + εi n, where I n s the nth-order dentty matrx, and then takng the lmt ε 0 of the resultng dentty 2.6) assocated wth A yelds the desred Jacob dentty. Note that we have used a fact that f ε s small enough, the matrx A s nvertble. 3 Combned b-drectonal Wronskan solutons Let us now start to construct combned b-drectonal Wronskan solutons to the 2D Toda molecule 2DTM) equaton 2 τ n x τ n τ n τ n x = τ n+1τ n 1, 3.1) whch s equvalent to D x D y τ n τ n = 2τ n+1 τ n 1, 3.2) where D x and D y are Hrota s dfferental operators 1, 19. We wll present the soluton formulatons n the fnte, sem-nfnte and nfnte cases separately. 4

5 3.1 Fnte lattce We consder the fnte 2DTM equaton 2 τ n x τ n τ n τ n x = τ n+1τ n 1, 1 n N, 3.3) wth the followng separated-varable boundary condtons: τ 0 = φ 1 x)χ 1 y), τ N+1 = φ 2 x)χ 2 y), 3.4) where φ and χ, = 1, 2, are four arbtrarly gven functons of the ndcated varables. We apply the Jacob denttes for determnants to guarantee a class of combned molecule b-drectonal Wronskan solutons to ths boundary problem. Set N = N 1 + N 2 + 4, where N 1 and N 2 are non-negatve ntegers. Let us combne two peces of b-drectonal Wronskan determnant functons to ntroduce τ n as follows: τ n = 1 ) 1Φx, y), 0 n N 1, 1, N1 n+1 τ N1 +1 = 1, τ N1 +2 = 0, τ N1 +3 = 0, τ N1 +4 = 1, 3.5) τ n = 1 ) 1Ψx, y), N n N , n N+N 2 One pece s defned over the N 1 lattce ponts: 1 n N 1, and the other pece, over the N 2 lattce ponts: N N = N n N. In between, set τ n as ether zero or one. We wll prove that ths combned Wronskan determnant functon solves the 2DTM equaton 3.3) wth the boundary condtons 3.4). Note that the two nvolved determnants n the presented soluton formulaton are b-drectonal Wronskan determnants and ther orders depend on the dscrete ndependent varable n. Therefore, 3.5) presents combned molecule b-drectonal Wronskan solutons. Solvng the 2DTM equaton: Let us frst prove that τ n defned by 3.5) solves the 2DTM equaton 3.3) when 1 n N 1. For brevty, we assume that Φ, = ) Φx, y),, ) If n = N 1, the 2DTM equaton 3.3) becomes Φ 1,1 Φ 0,0 Φ 1,0 Φ 0,1 = Φ 0,0 Φ 0,1 Φ 1,0 Φ 1,1, 3.7) 5

6 whch s obvously true. Let 1 n N 1 1. We ntroduce three knds of determnants: D 1 = 1 ) 1Φx, y) = τ n 1, 3.8) 1, N1 n+2 D 1 D 1, k, l = the determnant obtaned by strkng out the th row and th column of D 1, = the determnant obtaned by strkng out the th and th rows and the kth and lth columns of D 1, 3.9) 3.10) whch are the determnant, and a frst mnor and a second mnor of a correspondng matrx, respectvely. Usng ths determnant notaton, we can easly compute N1 n + 2 N1 n + 1, N 1 n + 2 τ n = D 1, τ n+1 = D 1, N 1 n + 2 N 1 n + 1, N 1 n + 2 τ n N1 x = D n + 1 τ n N1 1, N 1 n + 2 = D n + 2 1, N 1 n τ n N1 x = D n N 1 n + 1 Now t follows that for each 1 n N 1 1, the 2DTM equaton 3.3) s equvalent to N1 n + 1 N1 n + 2 N1 n + 1 N1 n + 2 D 1 D 1 D 1 D 1 N 1 n + 1 N 1 n + 2 N 1 n + 2 N 1 n + 1 N1 n + 1, N 1 n + 2 = D 1 D 1. N 1 n + 1, N 1 n + 2 These are smply the Jacob denttes for determnants. Therefore, τ n defned by 3.5) solves 3.3) when 1 n N 1. When n = N 1 +, 1 4, t s drect to check that the 2DTM equaton 3.3) holds. Let us now smlarly prove that τ n defned by 3.5) solves the 2DTM equaton 3.3) when N n N. Assume for brevty that ) Ψx, Ψ, = y),, ) If n = N 1 + 5, the 2DTM equaton 3.3) reduces to Ψ 0,0 Ψ 0,1 Ψ 1,1 Ψ 0,0 Ψ 1,0 Ψ 0,1 = Ψ 1,0 Ψ 1,1, 3.12) 6

7 whch s clearly rght. Let N n N. To apply the Jacob denttes for determnants, we ntroduce three knds of determnants: D 2 = 1 ) 1Ψx, y) = τ n+1, 3.13) 1, n N+N2 +1 D 2 D 2, k, l = the determnant obtaned by strkng out the th row and th column of D 2, = the determnant obtaned by strkng out the th and th rows and the kth and lth columns of D 2, 3.14) 3.15) whch are the determnant, and a frst mnor and a second mnor of a correspondng matrx, respectvely. In terms of ths determnant notaton, we can easly obtan n N + N2 + 1 n N + N2, n N + N τ n = D 2, τ n 1 = D 2, n N + N n N + N 2, n N + N τ n x = D n N + N 2 τ n n N + N2 2, n N + N = D + 1 2, n N + N 2 2 τ n n N + N2 x = D 2. n N + N 2 Then t follows from these formulas that for each N n N, the 2DTM equaton 3.3) s equvalent to n N + N2 n N + N2 + 1 D 2 D 2 n N + N 2 n N + N n N + N 2 n N + N2 + 1 D 2 D 2 n N + N n N + N 2 n N + N2, n N + N = D 2 D 2. n N + N 2, n N + N These are exactly the Jacob denttes for determnants. Therefore, τ n defned by 3.5) solves the 2DTM equaton 3.3) when N n N. Satsfyng the boundary condtons: To satsfy two boundary condtons n 3.4), we requre that Φx, y) = N 1 +1 =1 u x)v y), Ψx, y) = N 2 +1 where all functons u, v, r and s are to be determned. 7 =1 r x)s y), 3.16)

8 where Let us frst compute τ 0 as follows: τ 0 = 1 ) k 1Φx, y) 1,k N ) N k = u x)v y) =1 N 1 +1 ) 1u ) k 1v = x) y) x =1 1 ) U N1 +1 = x u x) 1 1,k N ,k N 1 +1 = detu N1 +1V N1 +1) = detu N1 +1) detv N1 +1), 3.17) 1, N 1 +1 k 1 ), V N1 +1 = x v y) k 1 1,k N ) We can now take φ 1 x) = detu N1 +1), χ 1 y) = detv N1 +1). 3.19) For two gven functons φ 1 x) and χ 1 y), we fx N 1 functons among u and v, 1 N 1 + 1, and then the condtons n 3.19) present two lnear ordnary dfferental equatons on the unfxed functons, let us say u k and v k, respectvely. The exstence theory of lnear dfferental equatons guarantees that we have solutons for u k and v k. Therefore, the frst boundary condton n 3.4) can be satsfed. where Smlarly, t can be shown that 1 ) R N2 +1 = x r x) 1 τ N+1 = detr N2 +1) dets N2 +1), 3.20) 1, N 2 +1 By the same reason, we can acheve k 1 ), S N2 +1 = x s y) k 1 1,k N ) φ 2 x) = detr N2 +1), χ 2 y) = dets N2 +1). 3.22) Therefore, the second boundary condton n 3.4) can be satsfed, too. To conclude, τ n defned by 3.5) and 3.16) solves the 2DTM equaton 3.3) and satsfes the boundary condtons n 3.4). 8

9 3.2 Sem-nfnte lattce There are two sem-nfnte lattce equatons: one s wth < n K and the other s wth L n <, where K, L Z are arbtrarly fxed. Note that the 2DTM equaton s nvarant under the reflecton n n and the translaton n n+m wth any gven m Z. Thus we only need to consder the followng sem-nfnte 2DTM equaton wth one separated-varable boundary condton at n = 0: 2 τ n x τ n τ n τ n x = τ n+1τ n 1, 1 n <, τ 0 = φx)χy), where φ and χ are two arbtrarly gven functons of the ndcated varables. 3.23) In 3.5), settng M = N 1 0 and lettng N, we obtan the requred combned molecule b-drectonal Wronskan soluton: τ n = 1 ) 1Φx, y), 0 n M, 1, M n+1 τ M+1 = 1, τ M+2 = 0, τ M+3 = 0, τ M+4 = 1, 3.24) τ n = 1 ) 1Ψx, y), M + 5 n <, 1, n M 4 where Ψx, y) s arbtrary but Φx, y) s defned by Φx, y) = M+1 =1 u x)v y), 3.25) whch satsfes 1 x u x) 1 = φx), 1, M+1 k 1 x v y) k 1 = χy). 3.26) 1,k M+1 As shown before, there s no problem for exstence of those functons u s and v s. 3.3 Infnte lattce The nfnte 2DTM equaton s 2 τ n x τ n τ n τ n x = τ n+1τ n 1, < n <. 3.27) 9

10 Smlarly, by extendng two boundares 0 and N to and, respectvely, we can obtan a class of combned molecule b-drectonal Wronskan solutons: τ n = 1 ) 1Φx, y), < n M, 1, M n+1 τ M+1 = 1, τ M+2 = 0, τ M+3 = 0, τ M+4 = 1, 3.28) τ n = 1 ) 1Ψx, y), M + 5 n <, 1, n M 4 where M Z, Φx, y) and Ψx, y) are all arbtrary. 4 Concludng remarks The combned molecule b-drectonal Wronskan solutons have been presented for the fnte, sem-nfnte and nfnte blnear 2D Toda molecule 2DTM) equatons. In the frst two cases, separated-varable boundary condtons were mposed. The Jacob denttes for determnants are the key tool employed. The success s to combne two peces of molecule b-drectonal Wronskan solutons n formulatng the solutons. Between the two peces of molecule b-drectonal Wronskan solutons, we defned τ n as ether zero or one to move from one pece to the other pece followng the 2DTM equatons. It s known that the fnte 2DTM equaton 3.3) has double Wronskan solutons whch satsfy the boundary condtons 20: τ 0 = φx), τ N+1 = χy), 4.1) where φ and χ are arbtrary functons of the ndcated varables. Our constructon tells that there exst combned molecule b-drectonal Wronskan solutons to the fnte 2DTM equaton 3.3) whch satsfy the above boundary condtons. These solutons correspond to the case of χ 1 y) = 1 and φ 2 x) = 1 n our formulaton of solutons for 3.3). Smlarly, we can get combned molecule b-drectonal Wronskan solutons to the fnte 2DTM equaton 3.3) whch satsfy the followng boundary condtons: τ 0 = φx), τ N+1 = ψx)χy), 4.2) where φ, ψ and χ are arbtrary functons of the ndcated varables. Moreover, forcng one of the boundary condtons n 4.1) to be constant there s no problem for exstence of such double Wronskan solutons, based on the prevous dscusson on the separatedvarable boundary condtons usng the exstence theory of solutons of lnear dfferental equatons), the same dea n our constructon can be used to connect the correspondng 10

11 double Wronskan soluton wth a molecule b-drectonal Wronskan soluton to form a new soluton to the fnte, sem-nfnte or nfnte 2DTM equatons. But ths knd of solutons s not molecule. Acknowledgements: The work was supported n part by the State Admnstraton of Foregn Experts Affars of Chna, the Natonal Natural Scence Foundaton of Chna Nos , and ), Chunhu Plan of the Mnstry of Educaton of Chna, Zheang Innovaton Proect Grant No. T200905), the Natural Scence Foundaton of Shangha and the Shangha Leadng Academc Dscplne Proect No. J50101). References 1 R. Hrota, The Drect Method n Solton Theory, Cambrdge Unversty Press 2004). 2 J. Hetarnta, Hrota s blnear method and solton solutons, Phys. AUC 15 part 1) 2005) W. X. Ma, Complexton solutons to the Korteweg-de Vres equaton, Phys. Lett. A ) W. X. Ma, K. Maruno, Complexton solutons of the Toda lattce equaton, Physca A ) W. X. Ma, Solton, poston and negaton solutons to a Schrödnger self-consstent source equaton, J. Phys. Soc. Jpn ) W. X. Ma, Complexton solutons of the Korteweg-de Vres equaton wth self-consstent sources, Chaos, Soltons & Fractals ) W. X. Ma, Y. You, Solvng the Korteweg-de Vres equaton by ts blnear form: Wronskan solutons, Trans. Amer. Math. Soc ) C. X. L, W. X. Ma, X. J. Lu, Y. B. Zeng, Wronskan solutons of the Boussnesq equaton soltons, negatons, postons and complextons, Inverse Problems ) W. X. Ma, C. X. L, J. S. He, A second Wronskan formulaton of the Boussnesq equaton, Nonlnear Anal ) W. X. Ma, An applcaton of the Casoratan technque to the 2D Toda lattce equaton, Mod. Phys. Lett. B ) W. X. Ma, A. Abdelabbar, M. G. Asaad, Wronskan and Gramman solutons to a 3+1)-dmensonal generalzed KP equaton, Appl. Math. Comput ) W. X. Ma, T. W. Huang, Y. Zhang, A multple exp-functon method for nonlnear dfferental equatons and ts applcaton, Phys. Scrpta ) , 8 pp. 11

12 13 W. X. Ma, J.-H. Lee, A transformed ratonal functon method and exact solutons to the 3+1 dmensonal Jmb0-Mwa equaton, Chaos, Soltons and Fractals ) W. X. Ma, E. G. Fan, Lnear superposton prncple applyng to Hrota blnear equatons, Comput. Math. Appl ) W. X. Ma, Y. Zhang, Y. N. Tang, J. Y. Tu, prernt 2011). 16 R. Hrota, M. Ito, Resonance of soltons n one dmenson, J. Phys. Soc. Jpn ) A. N. Leznov, M. V. Savelev, Theory of group representatons and ntegraton of nonlnear systems x a,z z = expkx) a, Physca D ) T. Takag, Lecture n Algebra Tokyo, Kyortsu, 1965). 19 R. Hrota, A new form of Bäcklund transformatons and ts relaton to the nverse scatterng problem, Progr. Theoret. Phys ) R. Hrota, Y. Ohta, J. Satsuma, Wronskan structures of solutons for solton equatons, Progr. Theoret. Phys. Suppl. No )

Bilinear equations, Bell polynomials and linear superposition principle

Bilinear equations, Bell polynomials and linear superposition principle Blnear equatons, Bell polynomals and lnear superposton prncple Wen-Xu Ma Department of Mathematcs and Statstcs, Unversty of South Florda, Tampa, FL 33620-5700, USA E-mal: mawx@cas.usf.edu Abstract. A class

More information

Computers and Mathematics with Applications. Linear superposition principle applying to Hirota bilinear equations

Computers and Mathematics with Applications. Linear superposition principle applying to Hirota bilinear equations Computers and Mathematcs wth Applcatons 61 (2011) 950 959 Contents lsts avalable at ScenceDrect Computers and Mathematcs wth Applcatons journal homepage: www.elsever.com/locate/camwa Lnear superposton

More information

APPENDIX A Some Linear Algebra

APPENDIX A Some Linear Algebra APPENDIX A Some Lnear Algebra The collecton of m, n matrces A.1 Matrces a 1,1,..., a 1,n A = a m,1,..., a m,n wth real elements a,j s denoted by R m,n. If n = 1 then A s called a column vector. Smlarly,

More information

2 More examples with details

2 More examples with details Physcs 129b Lecture 3 Caltech, 01/15/19 2 More examples wth detals 2.3 The permutaton group n = 4 S 4 contans 4! = 24 elements. One s the dentty e. Sx of them are exchange of two objects (, j) ( to j and

More information

New Exact Traveling Wave Solutions for Two Nonlinear Evolution Equations

New Exact Traveling Wave Solutions for Two Nonlinear Evolution Equations Internatonal Conference on Computer Technology and Scence (ICCTS ) IPCSIT vol. 47 () () IACSIT Press, Sngapore DOI:.7763/IPCSIT..V47.66 New Exact Travelng Wave Solutons for Two Nonlnear Evoluton Equatons

More information

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal Inner Product Defnton 1 () A Eucldean space s a fnte-dmensonal vector space over the reals R, wth an nner product,. Defnton 2 (Inner Product) An nner product, on a real vector space X s a symmetrc, blnear,

More information

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could

More information

n 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

n 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 information

Formulas for the Determinant

Formulas 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 information

International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013) equation. E. M. E. Zayed and S. A.

International 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 information

The Feynman path integral

The Feynman path integral The Feynman path ntegral Aprl 3, 205 Hesenberg and Schrödnger pctures The Schrödnger wave functon places the tme dependence of a physcal system n the state, ψ, t, where the state s a vector n Hlbert space

More information

Chapter 5. Solution of System of Linear Equations. Module No. 6. Solution of Inconsistent and Ill Conditioned Systems

Chapter 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 information

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION

ON 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 information

Maximizing the number of nonnegative subsets

Maximizing the number of nonnegative subsets Maxmzng the number of nonnegatve subsets Noga Alon Hao Huang December 1, 213 Abstract Gven a set of n real numbers, f the sum of elements of every subset of sze larger than k s negatve, what s the maxmum

More information

8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS

8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS SECTION 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS 493 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS All the vector spaces you have studed thus far n the text are real vector spaces because the scalars

More information

A CHARACTERIZATION OF ADDITIVE DERIVATIONS ON VON NEUMANN ALGEBRAS

A CHARACTERIZATION OF ADDITIVE DERIVATIONS ON VON NEUMANN ALGEBRAS Journal of Mathematcal Scences: Advances and Applcatons Volume 25, 2014, Pages 1-12 A CHARACTERIZATION OF ADDITIVE DERIVATIONS ON VON NEUMANN ALGEBRAS JIA JI, WEN ZHANG and XIAOFEI QI Department of Mathematcs

More information

Difference Equations

Difference 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 information

Appendix B. Criterion of Riemann-Stieltjes Integrability

Appendix B. Criterion of Riemann-Stieltjes Integrability Appendx B. Crteron of Remann-Steltes Integrablty Ths note s complementary to [R, Ch. 6] and [T, Sec. 3.5]. The man result of ths note s Theorem B.3, whch provdes the necessary and suffcent condtons for

More information

Lecture 12: Discrete Laplacian

Lecture 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 information

Ballot Paths Avoiding Depth Zero Patterns

Ballot Paths Avoiding Depth Zero Patterns Ballot Paths Avodng Depth Zero Patterns Henrch Nederhausen and Shaun Sullvan Florda Atlantc Unversty, Boca Raton, Florda nederha@fauedu, ssull21@fauedu 1 Introducton In a paper by Sapounaks, Tasoulas,

More information

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number

More information

Binomial transforms of the modified k-fibonacci-like sequence

Binomial transforms of the modified k-fibonacci-like sequence Internatonal Journal of Mathematcs and Computer Scence, 14(2019, no. 1, 47 59 M CS Bnomal transforms of the modfed k-fbonacc-lke sequence Youngwoo Kwon Department of mathematcs Korea Unversty Seoul, Republc

More information

More metrics on cartesian products

More 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 information

5 The Rational Canonical Form

5 The Rational Canonical Form 5 The Ratonal Canoncal Form Here p s a monc rreducble factor of the mnmum polynomal m T and s not necessarly of degree one Let F p denote the feld constructed earler n the course, consstng of all matrces

More information

Using T.O.M to Estimate Parameter of distributions that have not Single Exponential Family

Using T.O.M to Estimate Parameter of distributions that have not Single Exponential Family IOSR Journal of Mathematcs IOSR-JM) ISSN: 2278-5728. Volume 3, Issue 3 Sep-Oct. 202), PP 44-48 www.osrjournals.org Usng T.O.M to Estmate Parameter of dstrbutons that have not Sngle Exponental Famly Jubran

More information

The Order Relation and Trace Inequalities for. Hermitian Operators

The 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 information

2.3 Nilpotent endomorphisms

2.3 Nilpotent endomorphisms s a block dagonal matrx, wth A Mat dm U (C) In fact, we can assume that B = B 1 B k, wth B an ordered bass of U, and that A = [f U ] B, where f U : U U s the restrcton of f to U 40 23 Nlpotent endomorphsms

More information

Randić Energy and Randić Estrada Index of a Graph

Randić Energy and Randić Estrada Index of a Graph EUROPEAN JOURNAL OF PURE AND APPLIED MATHEMATICS Vol. 5, No., 202, 88-96 ISSN 307-5543 www.ejpam.com SPECIAL ISSUE FOR THE INTERNATIONAL CONFERENCE ON APPLIED ANALYSIS AND ALGEBRA 29 JUNE -02JULY 20, ISTANBUL

More information

Convexity preserving interpolation by splines of arbitrary degree

Convexity preserving interpolation by splines of arbitrary degree Computer Scence Journal of Moldova, vol.18, no.1(52), 2010 Convexty preservng nterpolaton by splnes of arbtrary degree Igor Verlan Abstract In the present paper an algorthm of C 2 nterpolaton of dscrete

More information

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS BOUNDEDNESS OF THE IESZ TANSFOM WITH MATIX A WEIGHTS Introducton Let L = L ( n, be the functon space wth norm (ˆ f L = f(x C dx d < For a d d matrx valued functon W : wth W (x postve sem-defnte for all

More information

MEM 255 Introduction to Control Systems Review: Basics of Linear Algebra

MEM 255 Introduction to Control Systems Review: Basics of Linear Algebra MEM 255 Introducton to Control Systems Revew: Bascs of Lnear Algebra Harry G. Kwatny Department of Mechancal Engneerng & Mechancs Drexel Unversty Outlne Vectors Matrces MATLAB Advanced Topcs Vectors A

More information

Canonical transformations

Canonical 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 information

The Jacobsthal and Jacobsthal-Lucas Numbers via Square Roots of Matrices

The 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 information

Lecture 13 APPROXIMATION OF SECOMD ORDER DERIVATIVES

Lecture 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 information

THE CHINESE REMAINDER THEOREM. We should thank the Chinese for their wonderful remainder theorem. Glenn Stevens

THE CHINESE REMAINDER THEOREM. We should thank the Chinese for their wonderful remainder theorem. Glenn Stevens THE CHINESE REMAINDER THEOREM KEITH CONRAD We should thank the Chnese for ther wonderful remander theorem. Glenn Stevens 1. Introducton The Chnese remander theorem says we can unquely solve any par of

More information

Transfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system

Transfer 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 information

Advanced Quantum Mechanics

Advanced Quantum Mechanics Advanced Quantum Mechancs Rajdeep Sensarma! sensarma@theory.tfr.res.n ecture #9 QM of Relatvstc Partcles Recap of ast Class Scalar Felds and orentz nvarant actons Complex Scalar Feld and Charge conjugaton

More information

Modelli Clamfim Equazione del Calore Lezione ottobre 2014

Modelli Clamfim Equazione del Calore Lezione ottobre 2014 CLAMFIM Bologna Modell 1 @ Clamfm Equazone del Calore Lezone 17 15 ottobre 2014 professor Danele Rtell danele.rtell@unbo.t 1/24? Convoluton The convoluton of two functons g(t) and f(t) s the functon (g

More information

9 Characteristic classes

9 Characteristic classes THEODORE VORONOV DIFFERENTIAL GEOMETRY. Sprng 2009 [under constructon] 9 Characterstc classes 9.1 The frst Chern class of a lne bundle Consder a complex vector bundle E B of rank p. We shall construct

More information

FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP

FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP C O L L O Q U I U M M A T H E M A T I C U M VOL. 80 1999 NO. 1 FACTORIZATION IN KRULL MONOIDS WITH INFINITE CLASS GROUP BY FLORIAN K A I N R A T H (GRAZ) Abstract. Let H be a Krull monod wth nfnte class

More information

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

More information

On a direct solver for linear least squares problems

On a direct solver for linear least squares problems ISSN 2066-6594 Ann. Acad. Rom. Sc. Ser. Math. Appl. Vol. 8, No. 2/2016 On a drect solver for lnear least squares problems Constantn Popa Abstract The Null Space (NS) algorthm s a drect solver for lnear

More information

THE WEIGHTED WEAK TYPE INEQUALITY FOR THE STRONG MAXIMAL FUNCTION

THE WEIGHTED WEAK TYPE INEQUALITY FOR THE STRONG MAXIMAL FUNCTION THE WEIGHTED WEAK TYPE INEQUALITY FO THE STONG MAXIMAL FUNCTION THEMIS MITSIS Abstract. We prove the natural Fefferman-Sten weak type nequalty for the strong maxmal functon n the plane, under the assumpton

More information

A new Approach for Solving Linear Ordinary Differential Equations

A 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 information

A summation on Bernoulli numbers

A summation on Bernoulli numbers Journal of Number Theory 111 (005 37 391 www.elsever.com/locate/jnt A summaton on Bernoull numbers Kwang-Wu Chen Department of Mathematcs and Computer Scence Educaton, Tape Muncpal Teachers College, No.

More information

SL n (F ) Equals its Own Derived Group

SL n (F ) Equals its Own Derived Group Internatonal Journal of Algebra, Vol. 2, 2008, no. 12, 585-594 SL n (F ) Equals ts Own Derved Group Jorge Macel BMCC-The Cty Unversty of New York, CUNY 199 Chambers street, New York, NY 10007, USA macel@cms.nyu.edu

More information

Introduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law:

Introduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law: CE304, Sprng 2004 Lecture 4 Introducton to Vapor/Lqud Equlbrum, part 2 Raoult s Law: The smplest model that allows us do VLE calculatons s obtaned when we assume that the vapor phase s an deal gas, and

More information

Bernoulli Numbers and Polynomials

Bernoulli Numbers and Polynomials Bernoull Numbers and Polynomals T. Muthukumar tmk@tk.ac.n 17 Jun 2014 The sum of frst n natural numbers 1, 2, 3,..., n s n n(n + 1 S 1 (n := m = = n2 2 2 + n 2. Ths formula can be derved by notng that

More information

12 MATH 101A: ALGEBRA I, PART C: MULTILINEAR ALGEBRA. 4. Tensor product

12 MATH 101A: ALGEBRA I, PART C: MULTILINEAR ALGEBRA. 4. Tensor product 12 MATH 101A: ALGEBRA I, PART C: MULTILINEAR ALGEBRA Here s an outlne of what I dd: (1) categorcal defnton (2) constructon (3) lst of basc propertes (4) dstrbutve property (5) rght exactness (6) localzaton

More information

The lower and upper bounds on Perron root of nonnegative irreducible matrices

The lower and upper bounds on Perron root of nonnegative irreducible matrices Journal of Computatonal Appled Mathematcs 217 (2008) 259 267 wwwelsevercom/locate/cam The lower upper bounds on Perron root of nonnegatve rreducble matrces Guang-Xn Huang a,, Feng Yn b,keguo a a College

More information

Module 9. Lecture 6. Duality in Assignment Problems

Module 9. Lecture 6. Duality in Assignment Problems Module 9 1 Lecture 6 Dualty n Assgnment Problems In ths lecture we attempt to answer few other mportant questons posed n earler lecture for (AP) and see how some of them can be explaned through the concept

More information

Multiple-soliton Solutions for Nonlinear Partial Differential Equations

Multiple-soliton Solutions for Nonlinear Partial Differential Equations Journal of Mathematcs Research; Vol. 7 No. ; ISSN 9-979 E-ISSN 9-989 Publshed b Canadan Center of Scence and Educaton Multple-solton Solutons for Nonlnear Partal Dfferental Equatons Yanng Tang & Wean Za

More information

High resolution entropy stable scheme for shallow water equations

High resolution entropy stable scheme for shallow water equations Internatonal Symposum on Computers & Informatcs (ISCI 05) Hgh resoluton entropy stable scheme for shallow water equatons Xaohan Cheng,a, Yufeng Ne,b, Department of Appled Mathematcs, Northwestern Polytechncal

More information

COMPLEX NUMBERS AND QUADRATIC EQUATIONS

COMPLEX NUMBERS AND QUADRATIC EQUATIONS COMPLEX NUMBERS AND QUADRATIC EQUATIONS INTRODUCTION We know that x 0 for all x R e the square of a real number (whether postve, negatve or ero) s non-negatve Hence the equatons x, x, x + 7 0 etc are not

More information

General viscosity iterative method for a sequence of quasi-nonexpansive mappings

General viscosity iterative method for a sequence of quasi-nonexpansive mappings Avalable onlne at www.tjnsa.com J. Nonlnear Sc. Appl. 9 (2016), 5672 5682 Research Artcle General vscosty teratve method for a sequence of quas-nonexpansve mappngs Cuje Zhang, Ynan Wang College of Scence,

More information

Research Article A Generalized Sum-Difference Inequality and Applications to Partial Difference Equations

Research Article A Generalized Sum-Difference Inequality and Applications to Partial Difference Equations Hndaw Publshng Corporaton Advances n Dfference Equatons Volume 008, Artcle ID 695495, pages do:0.55/008/695495 Research Artcle A Generalzed Sum-Dfference Inequalty and Applcatons to Partal Dfference Equatons

More information

A First Order q-difference System for the BC 1 -Type Jackson Integral and Its Applications

A First Order q-difference System for the BC 1 -Type Jackson Integral and Its Applications Symmetry Integrablty and Geometry: Methods and Applcatons SIGMA 5 2009 041 14 pages A Frst Order -Dfference System for the BC 1 -Type Jackson Integral and Its Applcatons Masahko ITO Department of Physcs

More information

College of Computer & Information Science Fall 2009 Northeastern University 20 October 2009

College of Computer & Information Science Fall 2009 Northeastern University 20 October 2009 College of Computer & Informaton Scence Fall 2009 Northeastern Unversty 20 October 2009 CS7880: Algorthmc Power Tools Scrbe: Jan Wen and Laura Poplawsk Lecture Outlne: Prmal-dual schema Network Desgn:

More information

Determinants Containing Powers of Generalized Fibonacci Numbers

Determinants Containing Powers of Generalized Fibonacci Numbers 1 2 3 47 6 23 11 Journal of Integer Sequences, Vol 19 (2016), Artcle 1671 Determnants Contanng Powers of Generalzed Fbonacc Numbers Aram Tangboonduangjt and Thotsaporn Thanatpanonda Mahdol Unversty Internatonal

More information

CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE

CHAPTER 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 information

Group Analysis of Ordinary Differential Equations of the Order n>2

Group Analysis of Ordinary Differential Equations of the Order n>2 Symmetry n Nonlnear Mathematcal Physcs 997, V., 64 7. Group Analyss of Ordnary Dfferental Equatons of the Order n> L.M. BERKOVICH and S.Y. POPOV Samara State Unversty, 4430, Samara, Russa E-mal: berk@nfo.ssu.samara.ru

More information

Fixed points of IA-endomorphisms of a free metabelian Lie algebra

Fixed points of IA-endomorphisms of a free metabelian Lie algebra Proc. Indan Acad. Sc. (Math. Sc.) Vol. 121, No. 4, November 2011, pp. 405 416. c Indan Academy of Scences Fxed ponts of IA-endomorphsms of a free metabelan Le algebra NAIME EKICI 1 and DEMET PARLAK SÖNMEZ

More information

NUMERICAL DIFFERENTIATION

NUMERICAL 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 information

On Finite Rank Perturbation of Diagonalizable Operators

On Finite Rank Perturbation of Diagonalizable Operators Functonal Analyss, Approxmaton and Computaton 6 (1) (2014), 49 53 Publshed by Faculty of Scences and Mathematcs, Unversty of Nš, Serba Avalable at: http://wwwpmfnacrs/faac On Fnte Rank Perturbaton of Dagonalzable

More information

The exponential map of GL(N)

The exponential map of GL(N) The exponental map of GLN arxv:hep-th/9604049v 9 Apr 996 Alexander Laufer Department of physcs Unversty of Konstanz P.O. 5560 M 678 78434 KONSTANZ Aprl 9, 996 Abstract A fnte expanson of the exponental

More information

A P PL I CA TIONS OF FRACTIONAL EXTERIOR DI F F ER EN TIAL IN THR EE- DI M ENSIONAL S PAC E Ξ

A P PL I CA TIONS OF FRACTIONAL EXTERIOR DI F F ER EN TIAL IN THR EE- DI M ENSIONAL S PAC E Ξ Appled Mathematcs and Mechancs ( Englsh Edton, Vol 24, No 3, Mar 2003) Publshed by Shangha Unversty, Shangha, Chna Artcle ID : 0253-4827 (2003) 03-0256-05 A P PL I CA TIONS OF FRACTIONAL EXTERIOR DI F

More information

A how to guide to second quantization method.

A how to guide to second quantization method. Phys. 67 (Graduate Quantum Mechancs Sprng 2009 Prof. Pu K. Lam. Verson 3 (4/3/2009 A how to gude to second quantzaton method. -> Second quantzaton s a mathematcal notaton desgned to handle dentcal partcle

More information

An Introduction to Morita Theory

An Introduction to Morita Theory An Introducton to Morta Theory Matt Booth October 2015 Nov. 2017: made a few revsons. Thanks to Nng Shan for catchng a typo. My man reference for these notes was Chapter II of Bass s book Algebrac K-Theory

More information

NEW EXACT ANALYTICAL SOLUTIONS FOR THE GENERAL KDV EQUATION WITH VARIABLE COEFFICIENTS. Jiangsu, PR China

NEW EXACT ANALYTICAL SOLUTIONS FOR THE GENERAL KDV EQUATION WITH VARIABLE COEFFICIENTS. Jiangsu, PR China athematcal and Computatonal Applcatons Vol. 19 No. pp. 19-7 1 NEW EXACT ANALYTICAL SOLUTIONS FOR THE GENERAL KDV EQUATION WITH VARIABLE COEFFICIENTS Bao-Jan Hong 1 and Dan-Chen Lu 1* 1 Faculty of Scence

More information

NOTES FOR QUANTUM GROUPS, CRYSTAL BASES AND REALIZATION OF ŝl(n)-modules

NOTES FOR QUANTUM GROUPS, CRYSTAL BASES AND REALIZATION OF ŝl(n)-modules NOTES FOR QUANTUM GROUPS, CRYSTAL BASES AND REALIZATION OF ŝl(n)-modules EVAN WILSON Quantum groups Consder the Le algebra sl(n), whch s the Le algebra over C of n n trace matrces together wth the commutator

More information

ON MECHANICS WITH VARIABLE NONCOMMUTATIVITY

ON 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 information

Linear Approximation with Regularization and Moving Least Squares

Linear 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 information

REGULAR POSITIVE TERNARY QUADRATIC FORMS. 1. Introduction

REGULAR POSITIVE TERNARY QUADRATIC FORMS. 1. Introduction REGULAR POSITIVE TERNARY QUADRATIC FORMS BYEONG-KWEON OH Abstract. A postve defnte quadratc form f s sad to be regular f t globally represents all ntegers that are represented by the genus of f. In 997

More information

Errors for Linear Systems

Errors for Linear Systems Errors for Lnear Systems When we solve a lnear system Ax b we often do not know A and b exactly, but have only approxmatons  and ˆb avalable. Then the best thng we can do s to solve ˆx ˆb exactly whch

More information

= z 20 z n. (k 20) + 4 z k = 4

= z 20 z n. (k 20) + 4 z k = 4 Problem Set #7 solutons 7.2.. (a Fnd the coeffcent of z k n (z + z 5 + z 6 + z 7 + 5, k 20. We use the known seres expanson ( n+l ( z l l z n below: (z + z 5 + z 6 + z 7 + 5 (z 5 ( + z + z 2 + z + 5 5

More information

Uniqueness of Weak Solutions to the 3D Ginzburg- Landau Model for Superconductivity

Uniqueness of Weak Solutions to the 3D Ginzburg- Landau Model for Superconductivity Int. Journal of Math. Analyss, Vol. 6, 212, no. 22, 195-114 Unqueness of Weak Solutons to the 3D Gnzburg- Landau Model for Superconductvty Jshan Fan Department of Appled Mathematcs Nanjng Forestry Unversty

More information

Physics 5153 Classical Mechanics. D Alembert s Principle and The Lagrangian-1

Physics 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 information

Integrals and Invariants of Euler-Lagrange Equations

Integrals and Invariants of Euler-Lagrange Equations Lecture 16 Integrals and Invarants of Euler-Lagrange Equatons ME 256 at the Indan Insttute of Scence, Bengaluru Varatonal Methods and Structural Optmzaton G. K. Ananthasuresh Professor, Mechancal Engneerng,

More information

Salmon: Lectures on partial differential equations. Consider the general linear, second-order PDE in the form. ,x 2

Salmon: 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 information

The equation of motion of a dynamical system is given by a set of differential equations. That is (1)

The equation of motion of a dynamical system is given by a set of differential equations. That is (1) Dynamcal Systems Many engneerng and natural systems are dynamcal systems. For example a pendulum s a dynamcal system. State l The state of the dynamcal system specfes t condtons. For a pendulum n the absence

More information

Module 3: Element Properties Lecture 1: Natural Coordinates

Module 3: Element Properties Lecture 1: Natural Coordinates Module 3: Element Propertes Lecture : Natural Coordnates Natural coordnate system s bascally a local coordnate system whch allows the specfcaton of a pont wthn the element by a set of dmensonless numbers

More information

C/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1

C/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1 C/CS/Phy9 Problem Set 3 Solutons Out: Oct, 8 Suppose you have two qubts n some arbtrary entangled state ψ You apply the teleportaton protocol to each of the qubts separately What s the resultng state obtaned

More information

A Local Variational Problem of Second Order for a Class of Optimal Control Problems with Nonsmooth Objective Function

A Local Variational Problem of Second Order for a Class of Optimal Control Problems with Nonsmooth Objective Function A Local Varatonal Problem of Second Order for a Class of Optmal Control Problems wth Nonsmooth Objectve Functon Alexander P. Afanasev Insttute for Informaton Transmsson Problems, Russan Academy of Scences,

More information

Robust Norm Equivalencies and Preconditioning

Robust Norm Equivalencies and Preconditioning Robust Norm Equvalences and Precondtonng Karl Scherer Insttut für Angewandte Mathematk, Unversty of Bonn, Wegelerstr. 6, 53115 Bonn, Germany Summary. In ths contrbuton we report on work done n contnuaton

More information

Global Sensitivity. Tuesday 20 th February, 2018

Global Sensitivity. Tuesday 20 th February, 2018 Global Senstvty Tuesday 2 th February, 28 ) Local Senstvty Most senstvty analyses [] are based on local estmates of senstvty, typcally by expandng the response n a Taylor seres about some specfc values

More information

Appendix B. The Finite Difference Scheme

Appendix 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 information

Lecture 20: Lift and Project, SDP Duality. Today we will study the Lift and Project method. Then we will prove the SDP duality theorem.

Lecture 20: Lift and Project, SDP Duality. Today we will study the Lift and Project method. Then we will prove the SDP duality theorem. prnceton u. sp 02 cos 598B: algorthms and complexty Lecture 20: Lft and Project, SDP Dualty Lecturer: Sanjeev Arora Scrbe:Yury Makarychev Today we wll study the Lft and Project method. Then we wll prove

More information

Affine transformations and convexity

Affine transformations and convexity Affne transformatons and convexty The purpose of ths document s to prove some basc propertes of affne transformatons nvolvng convex sets. Here are a few onlne references for background nformaton: http://math.ucr.edu/

More information

Games of Threats. Elon Kohlberg Abraham Neyman. Working Paper

Games of Threats. Elon Kohlberg Abraham Neyman. Working Paper Games of Threats Elon Kohlberg Abraham Neyman Workng Paper 18-023 Games of Threats Elon Kohlberg Harvard Busness School Abraham Neyman The Hebrew Unversty of Jerusalem Workng Paper 18-023 Copyrght 2017

More information

The Exact Formulation of the Inverse of the Tridiagonal Matrix for Solving the 1D Poisson Equation with the Finite Difference Method

The 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 information

MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS

MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS These are nformal notes whch cover some of the materal whch s not n the course book. The man purpose s to gve a number of nontrval examples

More information

Lecture Notes on Linear Regression

Lecture Notes on Linear Regression Lecture Notes on Lnear Regresson Feng L fl@sdueducn Shandong Unversty, Chna Lnear Regresson Problem In regresson problem, we am at predct a contnuous target value gven an nput feature vector We assume

More information

Vector Norms. Chapter 7 Iterative Techniques in Matrix Algebra. Cauchy-Bunyakovsky-Schwarz Inequality for Sums. Distances. Convergence.

Vector Norms. Chapter 7 Iterative Techniques in Matrix Algebra. Cauchy-Bunyakovsky-Schwarz Inequality for Sums. Distances. Convergence. Vector Norms Chapter 7 Iteratve Technques n Matrx Algebra Per-Olof Persson persson@berkeley.edu Department of Mathematcs Unversty of Calforna, Berkeley Math 128B Numercal Analyss Defnton A vector norm

More information

Physics 5153 Classical Mechanics. Principle of Virtual Work-1

Physics 5153 Classical Mechanics. Principle of Virtual Work-1 P. Guterrez 1 Introducton Physcs 5153 Classcal Mechancs Prncple of Vrtual Work The frst varatonal prncple we encounter n mechancs s the prncple of vrtual work. It establshes the equlbrum condton of a mechancal

More information

PHYS 705: Classical Mechanics. Canonical Transformation II

PHYS 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 information

Lecture 17 : Stochastic Processes II

Lecture 17 : Stochastic Processes II : Stochastc Processes II 1 Contnuous-tme stochastc process So far we have studed dscrete-tme stochastc processes. We studed the concept of Makov chans and martngales, tme seres analyss, and regresson analyss

More information

Asymptotics of the Solution of a Boundary Value. Problem for One-Characteristic Differential. Equation Degenerating into a Parabolic Equation

Asymptotics 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 information

Root Structure of a Special Generalized Kac- Moody Algebra

Root Structure of a Special Generalized Kac- Moody Algebra Mathematcal Computaton September 04, Volume, Issue, PP8-88 Root Structu of a Specal Generalzed Kac- Moody Algebra Xnfang Song, #, Xaox Wang Bass Department, Bejng Informaton Technology College, Bejng,

More information

The Geometry of Logit and Probit

The Geometry of Logit and Probit The Geometry of Logt and Probt Ths short note s meant as a supplement to Chapters and 3 of Spatal Models of Parlamentary Votng and the notaton and reference to fgures n the text below s to those two chapters.

More information

MMA and GCMMA two methods for nonlinear optimization

MMA and GCMMA two methods for nonlinear optimization MMA and GCMMA two methods for nonlnear optmzaton Krster Svanberg Optmzaton and Systems Theory, KTH, Stockholm, Sweden. krlle@math.kth.se Ths note descrbes the algorthms used n the author s 2007 mplementatons

More information