Shallow Water Waves: Theory, Simulation and Experiments
|
|
- Benjamin Wright
- 6 years ago
- Views:
Transcription
1 Shallow Water Waves:Theory, Simulation and Experiments p. 1/8 Shallow Water Waves: Theory, Simulation and Experiments Yuji Kodama Ohio State University Joint work with S. Chakravarty (UC at Colorado Springs) C-Y. Kao (Ohio State) Tutorial 5 at IMACS Athene GA, March 24, 29
2 Shallow Water Waves:Theory, Simulation and Experiments p. 2/8 Shallow Water Wave Equation The shallow water wave equation: (a) Φ =, for H < Z < H(X,Y,T) (b) Φ Z =, at the bottom Z = H (c) Φ T Φ 2 + gh =, H T + Φ H = Φ Z, at Z = H(X,Y,T) The non-dimensional variables: x = X L, y = Y L, z = Z H, t = φ = H A L gh Φ. gh T, η = H, L A { L = wavelength, H = depth A = amplitude, g = 9.8m/sec.
3 Shallow Water Waves:Theory, Simulation and Experiments p. 2/8 Shallow Water Wave Equation Small parameter (weak nonlinear and long waves): ǫ = A /H = (H /L ) 2. The velocity potential has the form, Then we have φ = cos( ǫ(z + 1) )ψ(x,y) = ψ ǫ 2 (z + 1)2 ψ + ǫ2 24 (z + 1)4 2 ψ +... ψ t + η + ǫ 2 ( ψ 2 ψ t ) = O(ǫ 2 ) η t + ψ + ǫ(η ψ + η ψ ψ) = O(ǫ 2 )
4 Shallow Water Waves:Theory, Simulation and Experiments p. 2/8 Shallow Water Wave Equation With the moving frame with slow variables: x = x t, t = 3 2 ǫt, y = ǫy, the variable u := 3 2 ψ x satisfies the KP equation in the leading order, x ( 4 u t + 3 u u + 6u x 3 x The dispersion relation is given by ) u =. y 2 ω = 1 4 k3 x k 2 y k x, v x = ω = 3 k x 4 (k2 x + k2 y kx 2 )<.
5 Shallow Water Waves:Theory, Simulation and Experiments p. 3/8 The KP Equation The KP equation: x ( 4 u ) t + 3 u x 3 + 6u u x }{{} KdV +3 2 u y 2 =. The solution u(x,y,t) in terms of the τ-function: u(x,y,t) = 2 2 ln τ(x,y,t). x2 The τ-function given by the Wronskian determinant: τ N = Wr(f 1,...,f N ).
6 Shallow Water Waves:Theory, Simulation and Experiments p. 3/8 The KP Equation The linearly independent set {f i (x,y,t) : i = 1,...,N}: f i y = 2 f i x }{{ 2, } Heat equation f i t = 3 f i x 3. Finite dimensional solutions: M f i (x,y,t) = a ij E j (x,y,t), i = 1,...,N < M, j=1 E j (x,y,t) = exp(k j x + kjy 2 kjt), 3 j = 1,...,M. with the ordering k 1 < k 2 < < k M.
7 Shallow Water Waves:Theory, Simulation and Experiments p. 3/8 The KP Equation Example 1: For N = 1, the function w = x ln τ 1 satisfies w y = 2w w x + 2 w x 2 (The Burgers equation). A shock solution is given by τ 1 = f 1 = E 1 + E 2, w = 1 2 (k 1 + k 2 ) (k 2 k 1 ) tanh 1 2 (θ 2 θ 1 ), where θ j = k j x + kj 2y k3 jt. Notice that { w k 1 k 2 x x
8 The KP Equation Example 1: One line-soliton solution with τ = E1 + E2. Ψ [1, 2] 1..5.?.5 4 y (1) K[1, 2] 2 [1, 2]? 4-2 x y (2)? x 3D figure of u = 2 w x, and the contour plot. The numbers (i) represent the dominant exponential term in the τ -function. We denote this [1, 2]-soliton. Shallow Water Waves:Theory, Simulation and Experiments p. 3/8
9 Shallow Water Waves:Theory, Simulation and Experiments p. 3/8 The KP Equation One-solton solution is given by a balance between two exponential terms, and in general it is expressed with the parameters {k i,k j }, u = A [i,j] sech 2 Θ [i,j], where the amplitude A[i,j] and the phase θ[i,j] are A [i,j] = 1 2 (k i k j ) 2, Θ [i,j] = 1 2 (θ j θ i ). The slope of the soliton in xy-plane is given by tan Ψ [i,j] = k i + k j.
10 The KP Equation Example 2: Y-type solution with τ1 = f1 = E1 + E2 + E3, 5 1 y ? 5 (3) (1)? 5? 5 (2) x? 1? 1? In each region, one of the exponential terms is dominant. Each line-soliton is given by the balance between two exponential terms, Ei and Ej, denoted as (i) and (j). Shallow Water Waves:Theory, Simulation and Experiments p. 3/8
11 Shallow Water Waves:Theory, Simulation and Experiments p. 3/8 The KP Equation Chord diagrams: One can express each soliton solution in a chord diagram (= permutation). For example, Y-type soliton with the parameters {k 1,k 2,k 3 } is given by π = The upper part represents [1, 3]-soliton in y >. The lower part represents [1, 2]- and [2, 3]-solitons in y <.
12 Shallow Water Waves:Theory, Simulation and Experiments p. 4/8 Grassmannian Gr(N,M) We first note: Span R {E j : j = 1,...,M} = R M. Span R {f i : i = 1,...,N} forms an N-dimensional subspace in R M, (f 1,...,f N ) = (E 1,...,E M )A T, where A-matrix is defined by A = a 11 a 1M a N1 a NM Each solution can be parametrized by the A-matrix.
13 Shallow Water Waves:Theory, Simulation and Experiments p. 4/8 Grassmannian Gr(N,M) Each point on Gr(N,M) can be expressed as f 1 f N = 1 i 1 < <i N M ξ(i 1,,i N ) E i1 E in, The coefficients ξ(i 1,,i N ) are N N minors of the A-matrix are called the Plücker coordinates which satisfy the Plücker relations. For example, ξ(i, j) for Gr(2, 4) satisfy ξ(1, 2)ξ(3, 4) ξ(1, 3)ξ(2, 4) + ξ(1, 4)ξ(2, 3) =. Note that the numbers of ξ(i 1,...,i N ) is ( M N), and dim Gr(N,M) = N(M N). So there are ( M N) N(M N) 1 numbers of the Plücker relations. ( 1 is for the norm.)
14 Shallow Water Waves:Theory, Simulation and Experiments p. 4/8 Grassmannian Gr(N,M) For H GL(N), (g 1,...,g N ) = (f 1,...,f N )H gives the same solution, i.e. τ(g) = H τ(f). This implies that the τ-function is identified as a point on the Grassmannian Gr(N,M), i.e. Gr(N,M) = M N M (R)/GL(N), with dim Gr(N,M) = NM N 2 = N(M N). H GL(N) gives a row reduction of the A-matrix. For example, a generic A can be written in the form (RREF), A =
15 Shallow Water Waves:Theory, Simulation and Experiments p. 4/8 Grassmannian Gr(N,M) We now say that the A-matrix is irreducible, if in each column, there is at least one nonzero element, in each raw, there is at least one more nonzero element in addition to the pivot. Example: For N = 2 and M = 4, there are only two types of irreducible A-matrices. ( ) ( ) 1 1, 1 1 Note that other cases can be expressed by a smaller Gr(N,M ) with either N < N or M < M..
16 Shallow Water Waves:Theory, Simulation and Experiments p. 4/8 Grassmannian Gr(N,M) We also say that the A-matrix is totally non-negative, if all the N N minors are non-negative. Example: For N = 2,M = 4, there are seven types of the A-matrices which satisfy both irreducibility and total non-negativity. For positive numbers a,b,c and d, they are ( ) ( ) ( ) 1 c d 1 b c 1 c 1 a b 1 a 1 a b ( 1 b 1 a ) ( 1 a c 1 b ) ( For the first one, either ad cb > or =. 1 a 1 b )
17 Shallow Water Waves:Theory, Simulation and Experiments p. 4/8 Grassmannian Gr(N,M) All the totally non-negative and irreducible matrices are parametrized by the permutation group S M : For example, the seven cases in Gr(2, 4) are given by (4312) (3421) (4321) (3412) (2413) (3142) (2143) The M-tuples of the diagrams represent the permutation, ( ) 1 2 M π = = (π(1),...,π(m)). π(1) π(2) π(m)
18 Shallow Water Waves:Theory, Simulation and Experiments p. 5/8 Classification Theorem Lemma: (Binet-Cauchy) The τ-function can be expanded as τ N = ξ(i 1,...,i N )E(i 1,...,i N ), 1 i 1 < <i N M where ξ(i 1,...,i N ) is the N N minor of the A-matrix, and E(i 1,...,i N ) is given by E(i 1,...,i N ) = (k ij k il ) E i1 E in, 1 j<l N Note that if the A-matrix is totally non-negative, then the τ-function is positive definite. This implies that the solution u(x, y, t) is non-singular.
19 Shallow Water Waves:Theory, Simulation and Experiments p. 5/8 Classification Theorem Theorem 1: Let {e 1,...,e N } be the pivot indices, and let {g 1,...,g M N } be the non-pivot indices for an irreducible and totally non-negative A-matrix. Then the soliton solution associated with the A-matrix has (a) N line-solitons of [e n,j n ]-type for n = 1,...,N as y, (b) M N line-solitons of [i m,g m ]-type for m = 1,...,M N as y. [e, j ] y = j j [e k, j k] [e, j ] N+ N+ [e, j ] 1 1 (e 1,e 2,...,e N+ ) x = - Interaction Region x = [ i, g ] 1 1 y = - [ i, g ] s s [ i, g ] N- N-
20 Shallow Water Waves:Theory, Simulation and Experiments p. 5/8 Classification Theorem Theorem 2: Those [e n,j n ] and [i m,g m ] are expressed by a chord diagram which corresponds a derangement of the permutation group S M, i.e. ( ) e 1 e N g 1 g M N j 1 j N i 1 i M N Theorem 3: Conversely, for each chord diagram associated with the derangement, one can construct an A-matrix, and the corresponding τ-function gives the solution of the KP equation having line-solitons expressed by the chord diagram.
21 Shallow Water Waves:Theory, Simulation and Experiments p. 5/8 Classification Theorem Example: N = 3,M = 6 (7-dimensional solution). t = -3 t = t = [2,5] [1,4] [5,6] [3,6] [1,3] [2,4] a -b c A = 1 d e -f 1 g π = (451263)
22 Shallow Water Waves:Theory, Simulation and Experiments p. 6/8 Exact Solutions Example 1: O-type soliton solution. O - Type Soliton Solution k1 k2 k3 k4 π = (2143) E(1,4) t = -1 t = t = 1 [1,2] E(2,4) E(1,3) E(2,3) [3,4] A [1,2] + A [3,4] < u center < ( A [1,2] + A [3,4] ) 2.
23 Shallow Water Waves:Theory, Simulation and Experiments p. 6/8 Exact Solutions Example 2: P-type soliton solution. P - Type Soliton Solution k1 k2 k3 k4 π = (4321) t = -1 t = t = 1 [1,4] [2,3] ( A[1,4] A [2,3] ) 2 < ucenter < A [1,4] A [2,3].
24 Shallow Water Waves:Theory, Simulation and Experiments p. 6/8 Exact Solutions Example 3: (3142)-type soliton solution. 2 E(1,4) 2 [3,4] [1,3] E(1,3) E(3,4) [1,4]?1 E(2,3)?2?4?2 2 4?1 [1,2] [2,4]?2?4?2 2 4?1?2?4?2 2 4 (3142)-type [1,3] and [3,4]-solitons [1,2] and [2,4]-solitons Note that [1, 4] gives the maximum amplitude A = 1 2 (k 4 k 1 ) 2.
25 Shallow Water Waves:Theory, Simulation and Experiments p. 6/8 Exact Solutions Example 4: T-type soliton solution (i.e. (3412) = (13)(24)). 2 (1,4) (1,2) (3,4) (1,3) (2,3) T - type soliton [1,3] and [2,4]-solitons [1,3] and [2,4]-solitons Notice that the front half is the same as (3142)-type.
26 Shallow Water Waves:Theory, Simulation and Experiments p. 6/8 Exact Solutions Example 5: (3142)-type soliton solutions with different angles: k1 k2 k3 k4 A[1,3]=A[2,4] = 2 S[1,3] = - S[2,4]= 4 -k1 = k4 = 9/8 -k2 = k3 = 7/8 A[1,2]=A[3,4]=1/32 S[1,2]=-S[3,4]= 1/2 A[1,4] of Stem = 2.53 t = -1 t = t = 1 t = 2
27 Shallow Water Waves:Theory, Simulation and Experiments p. 6/8 Exact Solutions Example 6: (3142)-type soliton solutions with different angles: k1 k2 k4 A[1,3]=A[2,4] = 2 S[1,3] = -S[2,4]= 1 k3 -k1 = k4 = 3/2 -k2 = k3 = 1/2 A[1,2]=A[3,4]=.5 S[1,2]=-S[3,4]= 1/2 A[1,4] of Stem = 4.5 t = -1 t = t = 1 t = 2
28 Shallow Water Waves:Theory, Simulation and Experiments p. 6/8 Exact Solutions Example 7: (3142)-type soliton solutions with different angles: k2 k4 A[1,3]=A[2,4] = 2 S[1,3]=-S[2,4] = 2/3 k1 -k1 = k4 = 7/4 -k2 = k3 = 1/4 k3 A[1,2]=A[3,4] = 9/8 S[1,2]=-S[3,4] = 1/2 A[1,4] of Stem = 49/8 t = -1 t = t = 1 t = 2
29 Shallow Water Waves:Theory, Simulation and Experiments p. 6/8 Exact Solutions Example 8: O-type soliton solutions with different angles: k1 k2 k3 k4 -k1 = k4 = 9/4 -k2 = k3 = 1/4 A[1,2]=A[3,4]= 2 S[1,2]= -S[3,4]= 2/5 Max. of u = 5 at the intersection point t = -1 t = t = 1
30 Shallow Water Waves:Theory, Simulation and Experiments p. 7/8 Numerical Simulations Semi-infinite line-soliton: T= T= k1 k2 Here tanψ = k 1 + k 2 > at t =, and it is decreasing as y.
31 Shallow Water Waves:Theory, Simulation and Experiments p. 7/8 Numerical Simulations Semi-infinite line soliton: T= T= k1 k2 Note here that tanψ = k 1 + k + 2 = at t =.
32 Shallow Water Waves:Theory, Simulation and Experiments p. 7/8 Numerical Simulations Semi-infinite line soliton: T= T= k1 k2 Now tanψ = k 1 + k 2 <, and tan Ψ 2k 1 as y.
33 Shallow Water Waves:Theory, Simulation and Experiments p. 7/8 Numerical Simulations The initial wave profile: [i, j] - soliton Ψ[i,j] 2A = (k i - k j) 2 [i,j] 1_ 2 Ψ[m,n] x tan Ψ[m,n] = - tan Ψ[i,j] = k m + k n = - (k i + k j ) [m, n] - soliton
34 Shallow Water Waves:Theory, Simulation and Experiments p. 7/8 Numerical Simulations V-shape initial data of O-type: T= T=
35 Shallow Water Waves:Theory, Simulation and Experiments p. 7/8 Numerical Simulations (3142)-type: T= T=
36 Shallow Water Waves:Theory, Simulation and Experiments p. 7/8 Numerical Simulations (3142)-type with a cut: T= T=
37 Shallow Water Waves:Theory, Simulation and Experiments p. 7/8 Numerical Simulations P-type: T= T=
38 Shallow Water Waves:Theory, Simulation and Experiments p. 7/8 Numerical Simulations Need to open files again!!! Now enjoy the movies!!!
39 Shallow Water Waves:Theory, Simulation and Experiments p. 8/8 References Y. K., Young diagrams and N-soliton solutions of the KP equation, J. Phys. A: Math. Gen. 37 (24) S. Chakravarty and Y. K., Classification of the line-solitons of KPII, J. Phys. A: Math. Theor. 41 (28) (33pp). S. Chakravarty and Y. K., A generating function for the N-soliton solutions of the Kadomtsev-Petviashvili II equation, Contemporary Math. 471 (28) S. Chakravarty and Y. K., Soliton solutions of the KP equation and application to shallow water waves. arxiv:
40 Shallow Water Waves:Theory, Simulation and Experiments p. 8/8 References S. Chakravarty and Y. K., Combinatorics and geometry of soliton solutions of the KP equation, coming soon. C-Y. Kao and Y. K., Numerical study on the Initial value problems of the KP equation, coming soon. Y. K., M. Oikawa and H. Tsuji, Experiments of shallow water waves and Numerical simulations of the KP equation, coming soon. B.-F. Feng, Y. K. and K.-I. Maruno, Tow dimensional solitary wave solutions in the Boussinesq approximation of shallow water wave equation, coming soon.
KP web-solitons from wave patterns: an inverse problem
Journal of Physics: Conference Series OPEN ACCESS KP web-solitons from wave patterns: an inverse problem To cite this article: Sarbarish Chakravarty and Yuji Kodama 201 J. Phys.: Conf. Ser. 82 012007 View
More informationSoliton resonance and web structure: the Davey-Stewartson equation
Soliton resonance and web structure: the Davey-Stewartson equation Gino Biondini State University of New York at Buffalo joint work with Sarbarish Chakravarty, University of Colorado at Colorado Springs
More informationTriangulations and soliton graphs
Triangulations and soliton graphs Rachel Karpman and Yuji Kodama The Ohio State University September 4, 2018 Karpman and Kodama (OSU) Soliton graphs September 4, 2018 1 / 1 Introduction Outline Setting:
More informationN-soliton solutions of two-dimensional soliton cellular automata
N-soliton solutions of two-dimensional soliton cellular automata Kenichi Maruno Department of Mathematics, The University of Texas - Pan American Joint work with Sarbarish Chakravarty (University of Colorado)
More informationCOMBINATORICS OF KP SOLITONS FROM THE REAL GRASSMANNIAN
COMBINATORICS OF KP SOLITONS FROM THE REAL GRASSMANNIAN YUJI KODAMA AND LAUREN WILLIAMS Abstract. Given a point A in the real Grassmannian, it is well-known that one can construct a soliton solution u
More informationSoliton Interactions of the Kadomtsev Petviashvili Equation and Generation of Large-Amplitude Water Waves
Soliton Interactions of the Kadomtsev Petviashvili Equation and Generation of Large-Amplitude Water Waves By G. Biondini, K.-I. Maruno, M. Oikawa, and H. Tsuji We study the maximum wave amplitude produced
More informationCombinatorics of KP Solitons from the Real Grassmannian
Combinatorics of KP Solitons from the Real Grassmannian Yuji Kodama and Lauren Williams Abstract Given a point A in the real Grassmannian, it is well-known that one can construct a soliton solution u A
More informationarxiv:nlin/ v1 [nlin.si] 25 Jun 2004
arxiv:nlin/0406059v1 [nlinsi] 25 Jun 2004 Resonance and web structure in discrete soliton systems: the two-dimensional Toda lattice and its fully discrete and ultra-discrete versions Ken-ichi Maruno 1
More informationMATH 152 Exam 1-Solutions 135 pts. Write your answers on separate paper. You do not need to copy the questions. Show your work!!!
MATH Exam -Solutions pts Write your answers on separate paper. You do not need to copy the questions. Show your work!!!. ( pts) Find the reduced row echelon form of the matrix Solution : 4 4 6 4 4 R R
More informationOn a family of solutions of the Kadomtsev Petviashvili equation which also satisfy the Toda lattice hierarchy
INSTITUTE OF PHYSICS PUBLISHING JOURNAL OF PHYSICS A: MATHEMATICAL AND GENERAL J. Phys. A: Math. Gen. 36 (2003) 10519 10536 PII: S0305-4470(03)64162-4 On a family of solutions of the Kadomtsev Petviashvili
More informationMATH 304 Linear Algebra Lecture 10: Linear independence. Wronskian.
MATH 304 Linear Algebra Lecture 10: Linear independence. Wronskian. Spanning set Let S be a subset of a vector space V. Definition. The span of the set S is the smallest subspace W V that contains S. If
More informationResearch Article Two Different Classes of Wronskian Conditions to a (3 + 1)-Dimensional Generalized Shallow Water Equation
International Scholarly Research Network ISRN Mathematical Analysis Volume 2012 Article ID 384906 10 pages doi:10.5402/2012/384906 Research Article Two Different Classes of Wronskian Conditions to a 3
More informationMultiple-Soliton Solutions for Extended Shallow Water Wave Equations
Studies in Mathematical Sciences Vol. 1, No. 1, 2010, pp. 21-29 www.cscanada.org ISSN 1923-8444 [Print] ISSN 1923-8452 [Online] www.cscanada.net Multiple-Soliton Solutions for Extended Shallow Water Wave
More informationEquality: Two matrices A and B are equal, i.e., A = B if A and B have the same order and the entries of A and B are the same.
Introduction Matrix Operations Matrix: An m n matrix A is an m-by-n array of scalars from a field (for example real numbers) of the form a a a n a a a n A a m a m a mn The order (or size) of A is m n (read
More informationAPPM 2360 Exam 2 Solutions Wednesday, March 9, 2016, 7:00pm 8:30pm
APPM 2360 Exam 2 Solutions Wednesday, March 9, 206, 7:00pm 8:30pm ON THE FRONT OF YOUR BLUEBOOK write: () your name, (2) your student ID number, (3) recitation section (4) your instructor s name, and (5)
More informationSign variation, the Grassmannian, and total positivity
Sign variation, the Grassmannian, and total positivity arxiv:1503.05622 Slides available at math.berkeley.edu/~skarp Steven N. Karp, UC Berkeley April 22nd, 2016 Texas State University, San Marcos Steven
More informationThe KP equation, introduced in 1970 (1), is considered to be a
KP solitons, total positivity, and cluster algebras Yuji Kodama a and auren K. Williams b, a Department of athematics, Ohio State University, Columbus, OH 30; and b Department of athematics, University
More informationLecture 7: Oceanographic Applications.
Lecture 7: Oceanographic Applications. Lecturer: Harvey Segur. Write-up: Daisuke Takagi June 18, 2009 1 Introduction Nonlinear waves can be studied by a number of models, which include the Korteweg de
More informationMATH 167: APPLIED LINEAR ALGEBRA Chapter 2
MATH 167: APPLIED LINEAR ALGEBRA Chapter 2 Jesús De Loera, UC Davis February 1, 2012 General Linear Systems of Equations (2.2). Given a system of m equations and n unknowns. Now m n is OK! Apply elementary
More informationNumerical Study of Oscillatory Regimes in the KP equation
Numerical Study of Oscillatory Regimes in the KP equation C. Klein, MPI for Mathematics in the Sciences, Leipzig, with C. Sparber, P. Markowich, Vienna, math-ph/"#"$"%& C. Sparber (generalized KP), personal-homepages.mis.mpg.de/klein/
More informationExact Solutions of The Regularized Long-Wave Equation: The Hirota Direct Method Approach to Partially Integrable Equations
Thai Journal of Mathematics Volume 5(2007) Number 2 : 273 279 www.math.science.cmu.ac.th/thaijournal Exact Solutions of The Regularized Long-Wave Equation: The Hirota Direct Method Approach to Partially
More informationMath 520 Exam 2 Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008
Math 520 Exam 2 Topic Outline Sections 1 3 (Xiao/Dumas/Liaw) Spring 2008 Exam 2 will be held on Tuesday, April 8, 7-8pm in 117 MacMillan What will be covered The exam will cover material from the lectures
More informationALGEBRAIC GEOMETRY I - FINAL PROJECT
ALGEBRAIC GEOMETRY I - FINAL PROJECT ADAM KAYE Abstract This paper begins with a description of the Schubert varieties of a Grassmannian variety Gr(k, n) over C Following the technique of Ryan [3] for
More informationA Novel Nonlinear Evolution Equation Integrable by the Inverse Scattering Method
Proceedings of Institute of Mathematics of NAS of Ukraine 2002, Vol. 43, Part, 384 39 A Novel Nonlinear Evolution Equation Integrable by the Inverse Scattering Method Vyacheslav VAKHNENKO and John PARKES
More informationMatrix KP: tropical limit and Yang-Baxter maps.
Matrix KP: tropical limit and Yang-Baxter maps Aristophanes Dimakis a and Folkert Müller-Hoissen b a Dept of Financial and Management Engineering University of the Aegean Chios Greece E-mail: dimakis@aegeangr
More informationMath 203, Solution Set 4.
Math 203, Solution Set 4. Problem 1. Let V be a finite dimensional vector space and let ω Λ 2 V be such that ω ω = 0. Show that ω = v w for some vectors v, w V. Answer: It is clear that if ω = v w then
More informationThe (2+1) and (3+1)-Dimensional CBS Equations: Multiple Soliton Solutions and Multiple Singular Soliton Solutions
The (+1) and (3+1)-Dimensional CBS Equations: Multiple Soliton Solutions and Multiple Singular Soliton Solutions Abdul-Majid Wazwaz Department of Mathematics, Saint Xavier University, Chicago, IL 60655,
More informationMATH 2331 Linear Algebra. Section 2.1 Matrix Operations. Definition: A : m n, B : n p. Example: Compute AB, if possible.
MATH 2331 Linear Algebra Section 2.1 Matrix Operations Definition: A : m n, B : n p ( 1 2 p ) ( 1 2 p ) AB = A b b b = Ab Ab Ab Example: Compute AB, if possible. 1 Row-column rule: i-j-th entry of AB:
More informationELEMENTARY LINEAR ALGEBRA
ELEMENTARY LINEAR ALGEBRA DAVID MEREDITH These notes are about the application and computation of linear algebra objects in F n, where F is a field. I think everything here works over any field including
More informationk times l times n times
1. Tensors on vector spaces Let V be a finite dimensional vector space over R. Definition 1.1. A tensor of type (k, l) on V is a map T : V V R k times l times which is linear in every variable. Example
More informationFebruary 20 Math 3260 sec. 56 Spring 2018
February 20 Math 3260 sec. 56 Spring 2018 Section 2.2: Inverse of a Matrix Consider the scalar equation ax = b. Provided a 0, we can solve this explicity x = a 1 b where a 1 is the unique number such that
More informationFermionic coherent states in infinite dimensions
Fermionic coherent states in infinite dimensions Robert Oeckl Centro de Ciencias Matemáticas Universidad Nacional Autónoma de México Morelia, Mexico Coherent States and their Applications CIRM, Marseille,
More informationarxiv:patt-sol/ v1 25 Sep 1995
Reductive Perturbation Method, Multiple Time Solutions and the KdV Hierarchy R. A. Kraenkel 1, M. A. Manna 2, J. C. Montero 1, J. G. Pereira 1 1 Instituto de Física Teórica Universidade Estadual Paulista
More informationMarch 27 Math 3260 sec. 56 Spring 2018
March 27 Math 3260 sec. 56 Spring 2018 Section 4.6: Rank Definition: The row space, denoted Row A, of an m n matrix A is the subspace of R n spanned by the rows of A. We now have three vector spaces associated
More informationRelation between Periodic Soliton Resonance and Instability
Proceedings of Institute of Mathematics of NAS of Ukraine 004 Vol. 50 Part 1 486 49 Relation between Periodic Soliton Resonance and Instability Masayoshi TAJIRI Graduate School of Engineering Osaka Prefecture
More informationMath Camp II. Basic Linear Algebra. Yiqing Xu. Aug 26, 2014 MIT
Math Camp II Basic Linear Algebra Yiqing Xu MIT Aug 26, 2014 1 Solving Systems of Linear Equations 2 Vectors and Vector Spaces 3 Matrices 4 Least Squares Systems of Linear Equations Definition A linear
More informationMath113: Linear Algebra. Beifang Chen
Math3: Linear Algebra Beifang Chen Spring 26 Contents Systems of Linear Equations 3 Systems of Linear Equations 3 Linear Systems 3 2 Geometric Interpretation 3 3 Matrices of Linear Systems 4 4 Elementary
More information1. Select the unique answer (choice) for each problem. Write only the answer.
MATH 5 Practice Problem Set Spring 7. Select the unique answer (choice) for each problem. Write only the answer. () Determine all the values of a for which the system has infinitely many solutions: x +
More informationVertex dynamics in multi-soliton solutions of Kadomtsev-Petviashvili II equation
Vertex dynamics in multi-soliton solutions of Kadomtsev-Petviashvili II equation Yair Zarmi Jacob Blaustein Institutes for Desert Research Ben-Gurion University of the Negev Midreshet Ben-Gurion, 84990
More informationSchubert Varieties. P. Littelmann. May 21, 2012
Schubert Varieties P. Littelmann May 21, 2012 Contents Preface 1 1 SMT for Graßmann varieties 3 1.1 The Plücker embedding.................... 4 1.2 Monomials and tableaux.................... 12 1.3 Straightening
More informationLecture 4: Products of Matrices
Lecture 4: Products of Matrices Winfried Just, Ohio University January 22 24, 2018 Matrix multiplication has a few surprises up its sleeve Let A = [a ij ] m n, B = [b ij ] m n be two matrices. The sum
More informationThe extended homogeneous balance method and exact 1-soliton solutions of the Maccari system
Computational Methods for Differential Equations http://cmde.tabrizu.ac.ir Vol., No., 014, pp. 83-90 The extended homogeneous balance method and exact 1-soliton solutions of the Maccari system Mohammad
More informationNew explicit solitary wave solutions for (2 + 1)-dimensional Boussinesq equation and (3 + 1)-dimensional KP equation
Physics Letters A 07 (00) 107 11 www.elsevier.com/locate/pla New explicit solitary wave solutions for ( + 1)-dimensional Boussinesq equation and ( + 1)-dimensional KP equation Yong Chen, Zhenya Yan, Honging
More informationVector bundles in Algebraic Geometry Enrique Arrondo. 1. The notion of vector bundle
Vector bundles in Algebraic Geometry Enrique Arrondo Notes(* prepared for the First Summer School on Complex Geometry (Villarrica, Chile 7-9 December 2010 1 The notion of vector bundle In affine geometry,
More informationChapter 4 Euclid Space
Chapter 4 Euclid Space Inner Product Spaces Definition.. Let V be a real vector space over IR. A real inner product on V is a real valued function on V V, denoted by (, ), which satisfies () (x, y) = (y,
More informationMath 1553 Introduction to Linear Algebra
Math 1553 Introduction to Linear Algebra Lecture Notes Chapter 2 Matrix Algebra School of Mathematics The Georgia Institute of Technology Math 1553 Lecture Notes for Chapter 2 Introduction, Slide 1 Section
More informationPropagation of Solitons Under Colored Noise
Propagation of Solitons Under Colored Noise Dr. Russell Herman Departments of Mathematics & Statistics, Physics & Physical Oceanography UNC Wilmington, Wilmington, NC January 6, 2009 Outline of Talk 1
More informationSolutions to Homework 5 - Math 3410
Solutions to Homework 5 - Math 34 (Page 57: # 489) Determine whether the following vectors in R 4 are linearly dependent or independent: (a) (, 2, 3, ), (3, 7,, 2), (, 3, 7, 4) Solution From x(, 2, 3,
More informationLinear Algebra M1 - FIB. Contents: 5. Matrices, systems of linear equations and determinants 6. Vector space 7. Linear maps 8.
Linear Algebra M1 - FIB Contents: 5 Matrices, systems of linear equations and determinants 6 Vector space 7 Linear maps 8 Diagonalization Anna de Mier Montserrat Maureso Dept Matemàtica Aplicada II Translation:
More informationA Further Improved Tanh Function Method Exactly Solving The (2+1)-Dimensional Dispersive Long Wave Equations
Applied Mathematics E-Notes, 8(2008), 58-66 c ISSN 1607-2510 Available free at mirror sites of http://www.math.nthu.edu.tw/ amen/ A Further Improved Tanh Function Method Exactly Solving The (2+1)-Dimensional
More informationChapter 4 - MATRIX ALGEBRA. ... a 2j... a 2n. a i1 a i2... a ij... a in
Chapter 4 - MATRIX ALGEBRA 4.1. Matrix Operations A a 11 a 12... a 1j... a 1n a 21. a 22.... a 2j... a 2n. a i1 a i2... a ij... a in... a m1 a m2... a mj... a mn The entry in the ith row and the jth column
More informationGroup analysis, nonlinear self-adjointness, conservation laws, and soliton solutions for the mkdv systems
ISSN 139-5113 Nonlinear Analysis: Modelling Control, 017, Vol., No. 3, 334 346 https://doi.org/10.15388/na.017.3.4 Group analysis, nonlinear self-adjointness, conservation laws, soliton solutions for the
More informationKINK DEGENERACY AND ROGUE WAVE FOR POTENTIAL KADOMTSEV-PETVIASHVILI EQUATION
THERMAL SCIENCE, Year 05, Vol. 9, No. 4, pp. 49-435 49 KINK DEGENERACY AND ROGUE WAVE FOR POTENTIAL KADOMTSEV-PETVIASHVILI EQUATION by Hong-Ying LUO a*, Wei TAN b, Zheng-De DAI b, and Jun LIU a a College
More informationAFFINE AND PROJECTIVE GEOMETRY, E. Rosado & S.L. Rueda 4. BASES AND DIMENSION
4. BASES AND DIMENSION Definition Let u 1,..., u n be n vectors in V. The vectors u 1,..., u n are linearly independent if the only linear combination of them equal to the zero vector has only zero scalars;
More informationOn the Whitham Equation
On the Whitham Equation Henrik Kalisch Department of Mathematics University of Bergen, Norway Joint work with: Handan Borluk, Denys Dutykh, Mats Ehrnström, Daulet Moldabayev, David Nicholls Research partially
More informationIntegrable Discrete Nets in Grassmannians
Lett Math Phys DOI 10.1007/s11005-009-0328-1 Integrable Discrete Nets in Grassmannians VSEVOLOD EDUARDOVICH ADLER 1,2, ALEXANDER IVANOVICH BOBENKO 2 and YURI BORISOVICH SURIS 3 1 L.D. Landau Institute
More informationProblem Set (T) If A is an m n matrix, B is an n p matrix and D is a p s matrix, then show
MTH 0: Linear Algebra Department of Mathematics and Statistics Indian Institute of Technology - Kanpur Problem Set Problems marked (T) are for discussions in Tutorial sessions (T) If A is an m n matrix,
More informationNew Analytical Solutions For (3+1) Dimensional Kaup-Kupershmidt Equation
International Conference on Computer Technology and Science (ICCTS ) IPCSIT vol. 47 () () IACSIT Press, Singapore DOI:.776/IPCSIT..V47.59 New Analytical Solutions For () Dimensional Kaup-Kupershmidt Equation
More informationThree types of generalized Kadomtsev Petviashvili equations arising from baroclinic potential vorticity equation
Chin. Phys. B Vol. 19, No. (1 1 Three types of generalized Kadomtsev Petviashvili equations arising from baroclinic potential vorticity equation Zhang Huan-Ping( 张焕萍 a, Li Biao( 李彪 ad, Chen Yong ( 陈勇 ab,
More informationMTH 35, SPRING 2017 NIKOS APOSTOLAKIS
MTH 35, SPRING 2017 NIKOS APOSTOLAKIS 1. Linear independence Example 1. Recall the set S = {a i : i = 1,...,5} R 4 of the last two lectures, where a 1 = (1,1,3,1) a 2 = (2,1,2, 1) a 3 = (7,3,5, 5) a 4
More informationOn Decompositions of KdV 2-Solitons
On Decompositions of KdV 2-Solitons Alex Kasman College of Charleston Joint work with Nick Benes and Kevin Young Journal of Nonlinear Science, Volume 16 Number 2 (2006) pages 179-200 -5-2.50 2.5 0 2.5
More informationLinear Algebra March 16, 2019
Linear Algebra March 16, 2019 2 Contents 0.1 Notation................................ 4 1 Systems of linear equations, and matrices 5 1.1 Systems of linear equations..................... 5 1.2 Augmented
More informationChapter 1: Systems of Linear Equations
Chapter : Systems of Linear Equations February, 9 Systems of linear equations Linear systems Lecture A linear equation in variables x, x,, x n is an equation of the form a x + a x + + a n x n = b, where
More informationRow Reduction and Echelon Forms
Row Reduction and Echelon Forms 1 / 29 Key Concepts row echelon form, reduced row echelon form pivot position, pivot, pivot column basic variable, free variable general solution, parametric solution existence
More informationMath 575-Lecture 26. KdV equation. Derivation of KdV
Math 575-Lecture 26 KdV equation We look at the KdV equations and the so-called integrable systems. The KdV equation can be written as u t + 3 2 uu x + 1 6 u xxx = 0. The constants 3/2 and 1/6 are not
More informationFrom discrete differential geometry to the classification of discrete integrable systems
From discrete differential geometry to the classification of discrete integrable systems Vsevolod Adler,, Yuri Suris Technische Universität Berlin Quantum Integrable Discrete Systems, Newton Institute,
More informationMath 321: Linear Algebra
Math 32: Linear Algebra T. Kapitula Department of Mathematics and Statistics University of New Mexico September 8, 24 Textbook: Linear Algebra,by J. Hefferon E-mail: kapitula@math.unm.edu Prof. Kapitula,
More informationSPECIAL TYPES OF ELASTIC RESONANT SOLITON SOLUTIONS OF THE KADOMTSEV PETVIASHVILI II EQUATION
Romanian Reports in Physics 70, 102 (2018) SPECIAL TYPES OF ELASTIC RESONANT SOLITON SOLUTIONS OF THE KADOMTSEV PETVIASHVILI II EQUATION SHIHUA CHEN 1,*, YI ZHOU 1, FABIO BARONIO 2, DUMITRU MIHALACHE 3
More informationif b is a linear combination of u, v, w, i.e., if we can find scalars r, s, t so that ru + sv + tw = 0.
Solutions Review # Math 7 Instructions: Use the following problems to study for Exam # which will be held Wednesday Sept For a set of nonzero vectors u v w} in R n use words and/or math expressions to
More informationPeriodic and Solitary Wave Solutions of the Davey-Stewartson Equation
Applied Mathematics & Information Sciences 4(2) (2010), 253 260 An International Journal c 2010 Dixie W Publishing Corporation, U. S. A. Periodic and Solitary Wave Solutions of the Davey-Stewartson Equation
More informationSome Elliptic Traveling Wave Solutions to the Novikov-Veselov Equation
Progress In Electromagnetics Research Symposium 006, Cambridge, USA, March 6-9 59 Some Elliptic Traveling Wave Solutions to the Novikov-Veselov Equation J. Nickel, V. S. Serov, and H. W. Schürmann University
More informationMath 314H EXAM I. 1. (28 points) The row reduced echelon form of the augmented matrix for the system. is the matrix
Math 34H EXAM I Do all of the problems below. Point values for each of the problems are adjacent to the problem number. Calculators may be used to check your answer but not to arrive at your answer. That
More informationMath 302 Test 1 Review
Math Test Review. Given two points in R, x, y, z and x, y, z, show the point x + x, y + y, z + z is on the line between these two points and is the same distance from each of them. The line is rt x, y,
More informationCS412: Lecture #17. Mridul Aanjaneya. March 19, 2015
CS: Lecture #7 Mridul Aanjaneya March 9, 5 Solving linear systems of equations Consider a lower triangular matrix L: l l l L = l 3 l 3 l 33 l n l nn A procedure similar to that for upper triangular systems
More informationLecture Notes in Linear Algebra
Lecture Notes in Linear Algebra Dr. Abdullah Al-Azemi Mathematics Department Kuwait University February 4, 2017 Contents 1 Linear Equations and Matrices 1 1.2 Matrices............................................
More informationBäcklund transformation and soliton solutions in terms of the Wronskian for the Kadomtsev Petviashvili-based system in fluid dynamics
Pramana J. Phys. (08) 90:45 https://doi.org/0.007/s043-08-53- Indian Academy of Sciences Bäcklund transformation and soliton solutions in terms of the Wronskian for the Kadomtsev Petviashvili-based system
More informationOne-Dimensional Line Schemes Michaela Vancliff
One-Dimensional Line Schemes Michaela Vancliff University of Texas at Arlington, USA http://www.uta.edu/math/vancliff/r vancliff@uta.edu Partial support from NSF DMS-1302050. Motivation Throughout, k =
More informationLinear algebra I Homework #1 due Thursday, Oct Show that the diagonals of a square are orthogonal to one another.
Homework # due Thursday, Oct. 0. Show that the diagonals of a square are orthogonal to one another. Hint: Place the vertices of the square along the axes and then introduce coordinates. 2. Find the equation
More informationMath 407: Linear Optimization
Math 407: Linear Optimization Lecture 16: The Linear Least Squares Problem II Math Dept, University of Washington February 28, 2018 Lecture 16: The Linear Least Squares Problem II (Math Dept, University
More informationLecture 3: Linear Algebra Review, Part II
Lecture 3: Linear Algebra Review, Part II Brian Borchers January 4, Linear Independence Definition The vectors v, v,..., v n are linearly independent if the system of equations c v + c v +...+ c n v n
More informationA NEW APPROACH FOR SOLITON SOLUTIONS OF RLW EQUATION AND (1+2)-DIMENSIONAL NONLINEAR SCHRÖDINGER S EQUATION
A NEW APPROACH FOR SOLITON SOLUTIONS OF RLW EQUATION AND (+2-DIMENSIONAL NONLINEAR SCHRÖDINGER S EQUATION ALI FILIZ ABDULLAH SONMEZOGLU MEHMET EKICI and DURGUN DURAN Communicated by Horia Cornean In this
More informationProblem # Max points possible Actual score Total 120
FINAL EXAMINATION - MATH 2121, FALL 2017. Name: ID#: Email: Lecture & Tutorial: Problem # Max points possible Actual score 1 15 2 15 3 10 4 15 5 15 6 15 7 10 8 10 9 15 Total 120 You have 180 minutes to
More informationGrammian and Pfaffian solutions as well as Pfaffianization for a (3+1)-dimensional generalized shallow water equation
Grammian and Pfaffian solutions as well as Pfaffianization for a (3+1)-dimensional generalized shallow water equation Tang Ya-Ning( 唐亚宁 ) a), Ma Wen-Xiu( 马文秀 ) b), and Xu Wei( 徐伟 ) a) a) Department of
More informationBreaking soliton equations and negative-order breaking soliton equations of typical and higher orders
Pramana J. Phys. (2016) 87: 68 DOI 10.1007/s12043-016-1273-z c Indian Academy of Sciences Breaking soliton equations and negative-order breaking soliton equations of typical and higher orders ABDUL-MAJID
More informationBaker-Akhiezer functions and configurations of hyperplanes
Baker-Akhiezer functions and configurations of hyperplanes Alexander Veselov, Loughborough University ENIGMA conference on Geometry and Integrability, Obergurgl, December 2008 Plan BA function related
More informationMath Linear Algebra Final Exam Review Sheet
Math 15-1 Linear Algebra Final Exam Review Sheet Vector Operations Vector addition is a component-wise operation. Two vectors v and w may be added together as long as they contain the same number n of
More informationLecture 11: Internal solitary waves in the ocean
Lecture 11: Internal solitary waves in the ocean Lecturer: Roger Grimshaw. Write-up: Yiping Ma. June 19, 2009 1 Introduction In Lecture 6, we sketched a derivation of the KdV equation applicable to internal
More informationThe definition of a vector space (V, +, )
The definition of a vector space (V, +, ) 1. For any u and v in V, u + v is also in V. 2. For any u and v in V, u + v = v + u. 3. For any u, v, w in V, u + ( v + w) = ( u + v) + w. 4. There is an element
More informationDepartment of Aerospace Engineering AE602 Mathematics for Aerospace Engineers Assignment No. 4
Department of Aerospace Engineering AE6 Mathematics for Aerospace Engineers Assignment No.. Decide whether or not the following vectors are linearly independent, by solving c v + c v + c 3 v 3 + c v :
More informationD-MATH Algebraic Geometry FS 2018 Prof. Emmanuel Kowalski. Solutions Sheet 1. Classical Varieties
D-MATH Algebraic Geometry FS 2018 Prof. Emmanuel Kowalski Solutions Sheet 1 Classical Varieties Let K be an algebraically closed field. All algebraic sets below are defined over K, unless specified otherwise.
More informationBinet-Cauchy Kernerls on Dynamical Systems and its Application to the Analysis of Dynamic Scenes
on Dynamical Systems and its Application to the Analysis of Dynamic Scenes Dynamical Smola Alexander J. Vidal René presented by Tron Roberto July 31, 2006 Support Vector Machines (SVMs) Classification
More informationLinear Algebra Review. Vectors
Linear Algebra Review 9/4/7 Linear Algebra Review By Tim K. Marks UCSD Borrows heavily from: Jana Kosecka http://cs.gmu.edu/~kosecka/cs682.html Virginia de Sa (UCSD) Cogsci 8F Linear Algebra review Vectors
More informationChapter 6 - Orthogonality
Chapter 6 - Orthogonality Maggie Myers Robert A. van de Geijn The University of Texas at Austin Orthogonality Fall 2009 http://z.cs.utexas.edu/wiki/pla.wiki/ 1 Orthogonal Vectors and Subspaces http://z.cs.utexas.edu/wiki/pla.wiki/
More informationContinuous limits and integrability for a semidiscrete system Zuo-nong Zhu Department of Mathematics, Shanghai Jiao Tong University, P R China
Continuous limits and integrability for a semidiscrete system Zuo-nong Zhu Department of Mathematics, Shanghai Jiao Tong University, P R China the 3th GCOE International Symposium, Tohoku University, 17-19
More informationHOMEWORK PROBLEMS FROM STRANG S LINEAR ALGEBRA AND ITS APPLICATIONS (4TH EDITION)
HOMEWORK PROBLEMS FROM STRANG S LINEAR ALGEBRA AND ITS APPLICATIONS (4TH EDITION) PROFESSOR STEVEN MILLER: BROWN UNIVERSITY: SPRING 2007 1. CHAPTER 1: MATRICES AND GAUSSIAN ELIMINATION Page 9, # 3: Describe
More informationDot Products, Transposes, and Orthogonal Projections
Dot Products, Transposes, and Orthogonal Projections David Jekel November 13, 2015 Properties of Dot Products Recall that the dot product or standard inner product on R n is given by x y = x 1 y 1 + +
More informationYair Zarmi Physics Department & Jacob Blaustein Institutes for Desert Research Ben-Gurion University of the Negev Midreshet Ben-Gurion, Israel
PERTURBED NONLINEAR EVOLUTION EQUATIONS AND ASYMPTOTIC INTEGRABILITY Yair Zarmi Physics Department & Jacob Blaustein Institutes for Desert Research Ben-Gurion University of the Negev Midreshet Ben-Gurion,
More informationFinal Examination 201-NYC-05 December and b =
. (5 points) Given A [ 6 5 8 [ and b (a) Express the general solution of Ax b in parametric vector form. (b) Given that is a particular solution to Ax d, express the general solution to Ax d in parametric
More informationResearch Article Soliton Solutions for the Wick-Type Stochastic KP Equation
Abstract and Applied Analysis Volume 212, Article ID 327682, 9 pages doi:1.1155/212/327682 Research Article Soliton Solutions for the Wick-Type Stochastic KP Equation Y. F. Guo, 1, 2 L. M. Ling, 2 and
More informationLINEAR EQUATIONS WITH UNKNOWNS FROM A MULTIPLICATIVE GROUP IN A FUNCTION FIELD. To Professor Wolfgang Schmidt on his 75th birthday
LINEAR EQUATIONS WITH UNKNOWNS FROM A MULTIPLICATIVE GROUP IN A FUNCTION FIELD JAN-HENDRIK EVERTSE AND UMBERTO ZANNIER To Professor Wolfgang Schmidt on his 75th birthday 1. Introduction Let K be a field
More information