Stability of the Marchenko inversion

Size: px
Start display at page:

Download "Stability of the Marchenko inversion"

Transcription

1 Inverse Problems 3 (1987) Printed in the UK Stability of the Marchenko inversion Tuncay Aktosun Department of Mathematics, Duke University, Durham, NC 27706, USA Received 16 September 1986, in final form 2 February 1987 Abstract. The stability of the Marchenko inversion in the one-dimensional non-relativistic quantum mechanics is studied. First, two bounds on the integral of the potential difference are given in terms of the integral of the difference in the scattering matrix. Second, a pointwise bound on the potential difference is obtained. Finally, the estimates are refined for the case of two scattering matrices coinciding on the finite energy interval k E [0, NI. 1. Introduction In an earlier paper (Aktosun 1987), the Marchenko inversion method was generalised to find the change in the potential that corresponds to a finite change in the scattering matrix. In this paper, using the results obtained in Aktosun (1987), we study the stability of the Marchenko inversion. The problems associated with the Gel fand-levitan and Marchenko inversion methods can be summarised as follows. In both methods we need to know the scattering matrix at all energies. First, it is impractical to determine the scattering matrix at all energies, especially at higher energies. The other problem is that the non-relativistic Schrodinger equation is no longer a good description of the physical reality at high energies, and one must use the Dirac equation of the relativistic quantum mechanics instead. Another problem is that there is always some error in our measurements, either intrinsic in nature or coming from the imperfections in our measuring devices: hence, it is impossible to determine the exact scattering matrix at all energies. Therefore, the following questions arise. Can one use partial data or data with some errors in the Gel fand-levitan and Marchenko methods and still obtain an approximate potential? Can one estimate the error in the potential if the error in the scattering matrix is known? If the error in the scattering matrix is small in some sense, is the corresponding error in the potential also small; that is, are the Gel fand-levitan and Marchenko methods stable? This paper addresses these questions in the case of Marchenko inversion. For the stability of the Gel fand-levitan inversion, the interested reader is referred to the classic paper of Newton (1982). The stability of the Marchenko inversion was first studied by Marchenko himself. In the radial case, when the two scattering matrices S(k) and So@) coincide for k E [0, NI and differ for k E (N, CO), he gave bounds on the potential difference 1 V(x) - Vo(x)I and I SIm dt( V(t) - Vo(t))I (Marchenko 1968). His bounds, however, are not uniform and they are functions of the space variable x. His bound on the potential difference I V(x) - Vo(x) was later improved, but it was still a function of x (Lundina and Marchenko 1969). Another relevant study has been done by Prosser (1984). In the one-dimensional case, he gave a bound on max,, R I V(x) - Vo(x) I in terms of the change in the reflection coefficient, /87/ IOP Publishing Ltd 555 I

2 556 T Aktosun but his result is restricted to the reflection coefficients in the class m : J dxlk(x)i < 1 where k(x)= b(k): The stability of the Marchenko inversion also follows from the convergence of the Neumann-series solution to the Marchenko equation. An incomplete proof of the convergence of the Neumann series for the Marchenko equation was given by Segur (1973) and was later completed by Sabatier (1985). A complete proof is also given by Xu Bang Qing and Shao Chang Qui (1985). In these three references, the authors consider the one-dimensional case and they use one of the reflection coefficients as the scattering data. This paper is organised as follows. In Q 2, some estimates are given on the wavefunctions and these estimates will be used later. In $ 3, the relation between the potential difference and the difference in the scattering matrix is obtained. Section 4 contains estimates of the integral of the potential difference. In $ 5, the estimate of the potential difference is given. In $ 6, such estimates are refined for scattering matrices S(k) and So(k) which coincide for k E [0, NI and which differ for k E (N, CO). As in Aktosun (1987), we assume that both S(k) and So(k) are free of bound states, and we let Note that the subscript will be used for the quantities on which the perturbation is built. 2. Bounds on wavefunctions and be the solutions to the one-dimensional Schrodinger equation which as x+ 03 &(k, x) = exp( - ikx) + R(k) exp(ikx) + o( (k, x) = exp(ikx) + L(k) exp( - ikx) + o( 1) ~)~(k,x)=t(k)exp(--ikx)+o(l) where V(x) is the potential and V(x) N 0 as x+ f CO. Let us define as x+ co asx+-co asx-+-m 1 1 ml(k, X)E- exp( -ikx)@l(k, x) and mr(k, x)r- exp(ikx)@,(k, x). T T The subscripts 1 and r are used and t,kr are usually called waves travelling from the left and from the right mol and mor be the corresponding quantities for the potential V&) and the scattering matrix So(k). As in Aktosun (1987), we define the absolute value of a matrix A =(Aij) as

3 Stability of the Marchenko inversion 557 Let us also define the constants YES-, -m m *m dxlxv(x)i and yo= dxlxvo(x)l (2.2) m a= J- dxl V(x)I and a. = Jm dxl VO(X)I. (2.3) -m Then, using the results in Deift and Trubowitz (1979), we have the following bounds on the wavefunctions: The bounds on mor, mor, dmor/dx and dmor/dx are obtained by replacing y and a in the above inequalities by yo and a0 respectively. 3. Potential difference From equation (8.17) in Aktosun (1987), we have d dk V(x) - Vdx) = - lim - A (k, x) exp( - i ky) dxyio j-, 271 where we have defined, as in equation (8.16) of the same paper (3.1) where the matrix I is given as and * denotes the complex conjugation. Note that (901, t,bor) and ($) denote the row and column vectors, respectively. Assuming that A(k, x) and aa(k, x)/dx are in L '(k) for each x, from (3.1), we have and for any xl, x2 E R Note that (3.1) also implies a stronger inequality than (3.4), namely

4 558 TAktosun 4. Estimates on integral of potential difference The theorem below gives an estimate of the integral of the potential difference. Theorem 4.1 where y and yo are the constants defined in (2.2) and where the absolute value of the matrix S - So is defined as in (2.1). Proof: Using the matrix norm defined in (2.1) on A (k, x), which is given in (3.2), we obtain where we have used IZ( = 1. From (2.1) we also have <max(i@~rl, l@~ri) and Hence, using the estimates given in 9 2, we obtain for x E IF I(@ot, hr)i < To1 eye, 2 eyo )= 2 eyo forxe R Thus, from (4.1) we have la I = 6 exp(yo + y)( l/i To inequality stated in the theorem. for x E R. I)I S - So 1 and from (3.4) we obtain the QED. In the sense of the inequality given in the above theorem, the Marchenko inversion is stable for potentials in class 9, where 9, = { V(x): Jy02 dxlxv(x)l <a}; i.e., the class of potentials whose first moment is bounded by a positive number a. The inequality given in the preceding theorem can be improved at the expense of simplicity as in the following. Theorem 4.2. where and where yo and y are the constants defined in (2.2). Proof: We can write (3.2) explicitly as

5 Stability of the Marchenko inversion 559 Hence we have Using the bounds in (2.4) and (2.5), for x > 0, we obtain and similarly, for x < 0 Combining the bounds for x > 0 and for x < 0, we obtain for x E R, lal<exp(yo+y) [ 5 ltyoto -/t2(1+ ($I)(IR-ROI+IL-LOI) and hence from (3.4), we have the inequality stated in the theorem. QED. We can again interpret the inequality given in the above theorem as a stability of the Marchenko inversion for potential in class 8,. 5. Estimate on potential difference To obtain an estimate on 1 V(x)- Vo(x)I, we can use the inequality given in (3.3). For this, we need a bound on IaA(k, x)/axi. Let us write (4.2) as where we have defined T- To A=- A1 + (R - Ro)A2 -(L- Lo)A3 TO 1 1 A1 =*01@?-*0r*? TO TO It is kn6wn (Chadan and Sabatier 1977) = (er Hence we can write Al, A2 and A3 in terms of the solutions from the left and from the right only as follows. T,* T To* T

6 5 60 T Aktosun In terms of mol E (l/to) exp( - i kx)iol and ml E (1/T) exp( - ikx)@l, we have AI = ToT*molm.?-m$lml-R * exp( - 2ikx)m&m;L-R0 exp(2ikx)molml-ror *mocmt A2 = exp(2ikx)morml+ R *morm,?' T* L$T* A3 =exp(-2ikx)-mmo*,m:-~m01mt TO TO and in terms of mor TO) exp(i kx)@o, and m, (1/T) exp(ikx)@,, we have A = m,*, m, + exp( 2i kx)l *m gr m T + exp( - 2i kx)l 0 m or m + L 0 L *m or m: - To T *mor mt T* R$T* A2 =exp(2ikx) - m,*,m:-- mo,m,* TO To* A3 =exp(-2ikx)mo,m, + L*mbm:. Letting a prime denote the x derivative, we obtain Ai = 2ik exp( - 2ikx)R *m,*,mt - 2ik exp(2ikx)romolml+ TOT*(mhrm: + morm:') -(mg*llml+ m,*,mj)-exp(-2ikx)r*(mz/m,?' + m&mt') -exp(2ikx)ro(m&ml+ mo,m;)-ror *(m&m? +molmt') A; = 2ik exp(2ikx)molm1 + exp(2ikx)(m&ml + malm/) + R *(m&m: + malm:') A; =-2ikexp(-2ik~)(T*/To)m:~mT + exp(-2ikx)(t*/to)(mz/m;l + m&mt') -(L$T*/To*)(m,&m? + malm?') and in terms of the solutions from the right, we have Ai =2ikexp(2ikx)L*m$;m,*-2ikexp(-2ikx)Lombm,- ToT*(mb,mT + mbm?') + (mg'm, + mgm:) + exp(2ikx)l*(m$m: + m&mt') + exp( - 2ikx)Lo(mQm, + mam:) + LoL*(m&mT + mbm?') A4 = 2ik exp(2ikx)(t*/to)m&m: + exp(2ikx)(t*/to)(m&'mt + m&m:') Ai =-2ik - (R: T*/T$)(m&m? + mbm:') exp( - 2ikx)mbm, + exp( - 2ikx)(m&m, + m&m:) + L*(m&mT + men$'). Using the bounds given in (2.6) and (2.7) and the fact that the transmission and reflection coefficients are bounded by one in absolute value, we obtain for x > 0 I A I 6 exp(yo + y)[ 5(00 + 0) + 2 I k I ( I RO I + I R I )I 1'4; I <exp(yo + y)[2(lkl l A j I < exp(yo + y)[2 I WO I ( I k I dl

7 Stability of the Marchenko inversion 56 1 and hence from (3. ), it is seen that we have proven the following theorem. Theorem 5.1. where max XER +(1 +lt/toi)(lkl +a+oo)(lr-~o/ +IL-Lol) and where o0, U, yo and y are the constants defined in (2.2) and (2.3). Note that we can interpret the inequality in the above theoremmas a stability property of the Marchenko inversion for potentials in class Q, E { V(x): dx(1 + Ixl)lV(x)I <a) where a is a positive number. s-, 6. Stability in a special case In this section we refine the inequalities obtained in $5 4 and 5 in the case of two scattering matrices coinciding for k E [0, NI. A similar problem has been studied by Marchenko in the radial case (Marchenko 1968, Lundina and Marchenko 1969). The physical importance of this case comes from the fact that in practice we can only obtain the scattering data in a finite energy interval, and for very high energies the scattering process can no longer be described by the Schrodinger equation of the non-relativistic quantum mechanics. However, we have from Deift and Trubowitz (1979) and Chadan and Sabatier (1977), and hence we can expect our estimates to improve in the special case of two scattering matrices coinciding for k E [0, NI.

8 562 T Aktosun It is known from Aktosun (1987) that A( - k, x)=a(k, x)* and hence A(k, x)=o for ke [ -N,N] whenever S(k)=So(k) for ke [O,N]. Using the bounds given in (2.6), for Ikl >N, from (5.1) we obtain I A 1 I < I To I (I mol m/ I + I mo,m I I 1 < 2 I To TI exp [(a 0 + d/n 1 IA2 I < I TI lmo/mr I < I TI exp[(ao + d/ni IA3 I < I TI ImoTm/l< I TI exp[(ao + d/ni and hence we have for I k( >N I A I < I T 1 (2 I T - To I + I R - Ro 1 + I - LO I ) ~ X [(GO P + I < (21 T- To I + lr -Ro I + IL -Lo I) exp[(ao + a)/n 1 and thus from (3.4), we obtain To get a bound on I V(x)- Vo(x)I, we can write (5.1) in terms of mor, mor, ml and m, as A=(T- To)T*(morm:-mO,m,*) +(R-Ro)T*morm,* exp(2ikx) -(L -Lo)T* exp( - 2ikx)mo,m;. After taking the x derivative and using the inequalities in (2.6) and (2.7), we obtain IA I < I TI(2l T- To1 + IR -Rol+ IL -LoI)(o + 00) exp[(oo + + I TI (2 I kl)( IR - Ro I + IL -Lo I) exp[(oo + a)/n I <[~IT-TO/(U~ +o)+(lr-rol +ll-l0l)(21kl and hence from (3.3), we have max I VX) - Vo(x)I XE R Q exp [(a0 + a )/~ +ll--lo1)(21kl I J 2 [ 2 I T- ~o I (00 + a) + (I R - R o I.m dk -m 71 +ao+a>l. +oo+a)l exp[(a~+o)/nl 7. Conclusion In this paper we have given the stability of the Marchenko inversion by giving some estimates of the integral of the potential difference and some estimates of the potential difference in terms of the difference in the scattering matrix by using the results obtained in Aktosun (1987). First, we have obtained two bounds on the integral of the potential difference. Second, a pointwise bound on the potential difference is given. Finally, the estimates are refined for the case of two scattering matrices coinciding on the finite energy interval k E [0, NI.

9 Acknowledgment Stability of the Marchenko inversion 563 The results in this paper, with the exception of those in 0 6, are summaries of parts of my PhD thesis. I am grateful to my advisor, Roger G Newton, for his help and encouragement throughout. I also thank Margaret Cheney for reading the manuscript and for her comments. The adjudicator s comments on the convergence of the Neumann-series solution to the Marchenko equation are also acknowledged. References Aktosun T 1987 Inverse Problems Chadan K and Sabatier P C 1977 Inverse Problems in Quantum Scattering Theory (New York: Springer) Deift P and Trubowitz E 1979 Commun. Pure Appl. Math Lundina D S and Marchenko V A 1969 Mat. Sbornik (Engl. transl Math. USSR Sbornik 7 467) Marchenko V A 1968 Mat. Sbornik (Engl. transl Math. USSR Sbornik 6 125) Newton R G 1982 Scattering Theory of Waves and Particles 2nd edn (New York: Springer) Prosser R T 1984 J. Math. Phys Sabatier P C 1985 Distributed Parameter Systems (Lecture Notes in Control and Information Sciences, No. 75) ed. F Kappel et a1 (Berlin: Springer) p 3 12 Segur H 1973 J. FluidMech Xu Bang Qing and Shao Chang Qui 1985 Lett. Math. Phys

CONSTRUCTION OF THE HALF-LINE POTENTIAL FROM THE JOST FUNCTION

CONSTRUCTION OF THE HALF-LINE POTENTIAL FROM THE JOST FUNCTION CONSTRUCTION OF THE HALF-LINE POTENTIAL FROM THE JOST FUNCTION Tuncay Aktosun Department of Mathematics and Statistics Mississippi State University Mississippi State, MS 39762 Abstract: For the one-dimensional

More information

Determining the Shape of a Human Vocal Tract From Pressure Measurements at the Lips

Determining the Shape of a Human Vocal Tract From Pressure Measurements at the Lips Determining the Shape of a Human Vocal Tract From Pressure Measurements at the Lips Tuncay Aktosun Technical Report 2007-01 http://www.uta.edu/math/preprint/ Determining the shape of a human vocal tract

More information

Non-uniqueness in the one-dimensional inverse scattering problem

Non-uniqueness in the one-dimensional inverse scattering problem Inverse Problems 1 (1985) 291-300. Printed in Great Britain Non-uniqueness in the one-dimensional inverse scattering problem Tuncay Aktosun and Roger G Newton Department of Physics, Indiana University,

More information

A factorization of the scattering matrix for the SchrOdinger equation and for the wave equation in one dimension

A factorization of the scattering matrix for the SchrOdinger equation and for the wave equation in one dimension A factorization of the scattering matrix for the SchrOdinger equation and for the wave equation in one dimension Tuncay Aktosun Department of Mathematics, North Dakota State University, Fargo, North Dakota

More information

INVERSE SCATTERING TRANSFORM, KdV, AND SOLITONS

INVERSE SCATTERING TRANSFORM, KdV, AND SOLITONS INVERSE SCATTERING TRANSFORM, KdV, AND SOLITONS Tuncay Aktosun Department of Mathematics and Statistics Mississippi State University Mississippi State, MS 39762, USA Abstract: In this review paper, the

More information

Properties of the Scattering Transform on the Real Line

Properties of the Scattering Transform on the Real Line Journal of Mathematical Analysis and Applications 58, 3 43 (001 doi:10.1006/jmaa.000.7375, available online at http://www.idealibrary.com on Properties of the Scattering Transform on the Real Line Michael

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

arxiv: v1 [math-ph] 16 Dec 2008

arxiv: v1 [math-ph] 16 Dec 2008 Some Remarks on Effective Range Formula in Potential Scattering arxiv:812.347v1 [math-ph] 16 Dec 28 Khosrow Chadan Laboratoire de Physique Théorique Université de Paris XI, Bâtiment 21, 9145 Orsay Cedex,

More information

Mathematical Tripos Part IB Michaelmas Term Example Sheet 1. Values of some physical constants are given on the supplementary sheet

Mathematical Tripos Part IB Michaelmas Term Example Sheet 1. Values of some physical constants are given on the supplementary sheet Mathematical Tripos Part IB Michaelmas Term 2015 Quantum Mechanics Dr. J.M. Evans Example Sheet 1 Values of some physical constants are given on the supplementary sheet 1. Whenasampleofpotassiumisilluminatedwithlightofwavelength3

More information

Marchenko inversion for perturbations : I

Marchenko inversion for perturbations : I Inverse Problems 3 (1987) 523-553. Printed in the UK Marchenko inversion for perturbations : I Tuncay Aktosun Department of Mathematics, Duke University, Durham, NC 27706, USA Received 14 August 1986,

More information

Coulomb phase interferences for small-angle inelastic scattering from ions

Coulomb phase interferences for small-angle inelastic scattering from ions J. Phys. B: At. Mol. Opt. Phys. 21 (1988) L25-L30. Printed in the UK LETTER TO THE EDITOR Coulomb phase interferences for small-angle inelastic scattering from ions Jim Mitroy Joint Institute for Laboratory

More information

Proceedings of the 5th International Conference on Inverse Problems in Engineering: Theory and Practice, Cambridge, UK, 11-15th July 2005

Proceedings of the 5th International Conference on Inverse Problems in Engineering: Theory and Practice, Cambridge, UK, 11-15th July 2005 Proceedings of the 5th International Conference on Inverse Problems in Engineering: Theory and Practice, Cambridge, UK, 11-15th July 2005 SOME INVERSE SCATTERING PROBLEMS FOR TWO-DIMENSIONAL SCHRÖDINGER

More information

Linear and Multilinear Algebra. Linear maps preserving rank of tensor products of matrices

Linear and Multilinear Algebra. Linear maps preserving rank of tensor products of matrices Linear maps preserving rank of tensor products of matrices Journal: Manuscript ID: GLMA-0-0 Manuscript Type: Original Article Date Submitted by the Author: -Aug-0 Complete List of Authors: Zheng, Baodong;

More information

arxiv: v1 [math-ph] 13 Aug 2017

arxiv: v1 [math-ph] 13 Aug 2017 THE INVERSE SCATTERING PROBLEM FOR THE MATRIX SCHRÖDINGER EQUATION arxiv:178.3837v1 [math-ph] 13 Aug 217 Tuncay Aktosun Department of Mathematics University of Texas at Arlington Arlington, TX 7619-48,

More information

Scattering matrices with finite phase shift and the inverse scattering problem

Scattering matrices with finite phase shift and the inverse scattering problem Inverse Problems 12 (1996 295 37. Printed in the UK Scattering matrices with finite phase shift and the inverse scattering problem Pavel Kurasov Alexander von Humboldt fellow, Department of Mathematics,

More information

MAKING BOHMIAN MECHANICS COMPATIBLE WITH RELATIVITY AND QUANTUM FIELD THEORY. Hrvoje Nikolić Rudjer Bošković Institute, Zagreb, Croatia

MAKING BOHMIAN MECHANICS COMPATIBLE WITH RELATIVITY AND QUANTUM FIELD THEORY. Hrvoje Nikolić Rudjer Bošković Institute, Zagreb, Croatia MAKING BOHMIAN MECHANICS COMPATIBLE WITH RELATIVITY AND QUANTUM FIELD THEORY Hrvoje Nikolić Rudjer Bošković Institute, Zagreb, Croatia Vallico Sotto, Italy, 28th August - 4th September 2010 1 Outline:

More information

Approximate Message Passing

Approximate Message Passing Approximate Message Passing Mohammad Emtiyaz Khan CS, UBC February 8, 2012 Abstract In this note, I summarize Sections 5.1 and 5.2 of Arian Maleki s PhD thesis. 1 Notation We denote scalars by small letters

More information

Appendix B: The Transfer Matrix Method

Appendix B: The Transfer Matrix Method Y D Chong (218) PH441: Quantum Mechanics III Appendix B: The Transfer Matrix Method The transfer matrix method is a numerical method for solving the 1D Schrödinger equation, and other similar equations

More information

Physics 218 Quantum Mechanics I Assignment 6

Physics 218 Quantum Mechanics I Assignment 6 Physics 218 Quantum Mechanics I Assignment 6 Logan A. Morrison February 17, 2016 Problem 1 A non-relativistic beam of particles each with mass, m, and energy, E, which you can treat as a plane wave, is

More information

General Lower Bounds for Resonances in One Dimension*

General Lower Bounds for Resonances in One Dimension* Commun. Math. Phys. 86, 221-225 (1982) Communications in Mathematical Physics Springer-Verlag 1982 General Lower Bounds for Resonances in One Dimension* Evans M. Harrell II Department of Mathematics, The

More information

Two Examples Illustrating the Differences between Classical and Quantum Mechanics

Two Examples Illustrating the Differences between Classical and Quantum Mechanics Commun. math. Phys. 29, 105--111 (1973) by Springer-Vertag 1973 Two Examples Illustrating the Differences between Classical and Quantum Mechanics Jeffrey Rauch* Department of Mathematics, The University

More information

Spectral difference equations satisfied by KP soliton wavefunctions

Spectral difference equations satisfied by KP soliton wavefunctions Inverse Problems 14 (1998) 1481 1487. Printed in the UK PII: S0266-5611(98)92842-8 Spectral difference equations satisfied by KP soliton wavefunctions Alex Kasman Mathematical Sciences Research Institute,

More information

arxiv:hep-th/ v1 11 Mar 2005

arxiv:hep-th/ v1 11 Mar 2005 Scattering of a Klein-Gordon particle by a Woods-Saxon potential Clara Rojas and Víctor M. Villalba Centro de Física IVIC Apdo 21827, Caracas 12A, Venezuela (Dated: February 1, 28) Abstract arxiv:hep-th/5318v1

More information

The elliptic sinh-gordon equation in the half plane

The elliptic sinh-gordon equation in the half plane Available online at www.tjnsa.com J. Nonlinear Sci. Appl. 8 25), 63 73 Research Article The elliptic sinh-gordon equation in the half plane Guenbo Hwang Department of Mathematics, Daegu University, Gyeongsan

More information

MOMENT SEQUENCES AND BACKWARD EXTENSIONS OF SUBNORMAL WEIGHTED SHIFTS

MOMENT SEQUENCES AND BACKWARD EXTENSIONS OF SUBNORMAL WEIGHTED SHIFTS J. Austral. Math. Soc. 73 (2002), 27-36 MOMENT SEQUENCES AND BACKWARD EXTENSIONS OF SUBNORMAL WEIGHTED SHIFTS THOMAS HOOVER, IL BONG JUNG and ALAN LAMBERT (Received 15 February 2000; revised 10 July 2001)

More information

Letting be a field, e.g., of the real numbers, the complex numbers, the rational numbers, the rational functions W(s) of a complex variable s, etc.

Letting be a field, e.g., of the real numbers, the complex numbers, the rational numbers, the rational functions W(s) of a complex variable s, etc. 1 Polynomial Matrices 1.1 Polynomials Letting be a field, e.g., of the real numbers, the complex numbers, the rational numbers, the rational functions W(s) of a complex variable s, etc., n ws ( ) as a

More information

Inverse Nodal Problems for Second Order Differential Operators with a Regular Singularity

Inverse Nodal Problems for Second Order Differential Operators with a Regular Singularity International Journal of Difference Equations. ISSN 973-669 Volume 1 Number 6), pp. 41 47 c Research India Publications http://www.ripublication.com/ide.htm Inverse Nodal Problems for Second Order Differential

More information

Stark effect of a rigid rotor

Stark effect of a rigid rotor J. Phys. B: At. Mol. Phys. 17 (1984) 3535-3544. Printed in Great Britain Stark effect of a rigid rotor M Cohen, Tova Feldmann and S Kais Department of Physical Chemistry, The Hebrew University, Jerusalem

More information

An Algebraic Approach to Reflectionless Potentials in One Dimension. Abstract

An Algebraic Approach to Reflectionless Potentials in One Dimension. Abstract An Algebraic Approach to Reflectionless Potentials in One Dimension R.L. Jaffe Center for Theoretical Physics, 77 Massachusetts Ave., Cambridge, MA 02139-4307 (Dated: January 31, 2009) Abstract We develop

More information

Country

Country Total EU-12 89,6 89,4 85,7 82,9 85,9 86,9 87,4 EU-15 89,6 85,7 83,1 86,2 87,0 87,5 EU-25 87,9 A 95,1 90,2 88,0 90,8 88,2 93,7 B 80,7 91,1 84,6 84,3 86,3 89,6 85,8 D 95,1 94,1 86,1 86,3 88,0 86,4 89,4 D-W

More information

A DISTRIBUTIONAL APPROACH TO FRAGMENTATION EQUATIONS. To Professor Jeff Webb on his retirement, with best wishes for the future. 1.

A DISTRIBUTIONAL APPROACH TO FRAGMENTATION EQUATIONS. To Professor Jeff Webb on his retirement, with best wishes for the future. 1. A DISTRIBUTIONAL APPROACH TO FRAGMENTATION EQUATIONS. WILSON LAMB 1 AND ADAM C MCBRIDE 2 Department of Mathematics and Statistics, University of Strathclyde, Glasgow, G1 1XH, UK. E-mail: w.lamb@strath.ac.uk

More information

Title: A note on perturbation formulae for the surface-wave speed due to perturbations in material properties

Title: A note on perturbation formulae for the surface-wave speed due to perturbations in material properties Editorial Manager(tm) for Journal of Elasticity Manuscript Draft Manuscript Number: ELAS248R2 Title: A note on perturbation formulae for the surface-wave speed due to perturbations in material properties

More information

SOLITONS IN SUPERLATTICES: MULTIPLE SCALES METHOD

SOLITONS IN SUPERLATTICES: MULTIPLE SCALES METHOD Available at: http://www.ictp.trieste.it/~pub-off IC/99/134 United Nations Educational Scientific Cultural Organization International Atomic Energy Agency THE ABDUS SALAM INTERNATIONAL CENTRE FOR THEORETICAL

More information

Deviation Measures and Normals of Convex Bodies

Deviation Measures and Normals of Convex Bodies Beiträge zur Algebra und Geometrie Contributions to Algebra Geometry Volume 45 (2004), No. 1, 155-167. Deviation Measures Normals of Convex Bodies Dedicated to Professor August Florian on the occasion

More information

For any use or distribution of this solutions manual, please cite as follows:

For any use or distribution of this solutions manual, please cite as follows: MIT OpenCourseWare http://ocw.mit.edu Solutions Manual for Electromechanical Dynamics For any use or distribution of this solutions manual, please cite as follows: Woodson, Herbert H., James R. Melcher.

More information

Week 15-16: Combinatorial Design

Week 15-16: Combinatorial Design Week 15-16: Combinatorial Design May 8, 2017 A combinatorial design, or simply a design, is an arrangement of the objects of a set into subsets satisfying certain prescribed properties. The area of combinatorial

More information

MATH 5640: Fourier Series

MATH 5640: Fourier Series MATH 564: Fourier Series Hung Phan, UMass Lowell September, 8 Power Series A power series in the variable x is a series of the form a + a x + a x + = where the coefficients a, a,... are real or complex

More information

Supplementary information I Hilbert Space, Dirac Notation, and Matrix Mechanics. EE270 Fall 2017

Supplementary information I Hilbert Space, Dirac Notation, and Matrix Mechanics. EE270 Fall 2017 Supplementary information I Hilbert Space, Dirac Notation, and Matrix Mechanics Properties of Vector Spaces Unit vectors ~xi form a basis which spans the space and which are orthonormal ( if i = j ~xi

More information

SMOOTHNESS OF FUNCTIONS GENERATED BY RIESZ PRODUCTS

SMOOTHNESS OF FUNCTIONS GENERATED BY RIESZ PRODUCTS SMOOTHNESS OF FUNCTIONS GENERATED BY RIESZ PRODUCTS PETER L. DUREN Riesz products are a useful apparatus for constructing singular functions with special properties. They have been an important source

More information

The free electron. EE 439 free electrons & scattering

The free electron. EE 439 free electrons & scattering The free electron In order to develop our practical understanding with quantum mechanics, we ll start with some simpler one-dimensional (function of x only), timeindependent problems. At one time, such

More information

A theoretical determination of the diffusion-like ionisation time of Rydberg atoms

A theoretical determination of the diffusion-like ionisation time of Rydberg atoms J. Phys. B: At. Mol. Phys. 20 (1987) 1031-1038. Printed in the UK A theoretical determination of the diffusion-like ionisation time of Rydberg atoms ".v._ B Kaulakys and A Ciziunas Institute of Physics

More information

Columbia University Department of Physics QUALIFYING EXAMINATION

Columbia University Department of Physics QUALIFYING EXAMINATION Columbia University Department of Physics QUALIFYING EXAMINATION Wednesday, January 13, 2016 3:10PM to 5:10PM Modern Physics Section 4. Relativity and Applied Quantum Mechanics Two hours are permitted

More information

CONVERGENT SEQUENCES IN SEQUENCE SPACES

CONVERGENT SEQUENCES IN SEQUENCE SPACES MATHEMATICS CONVERGENT SEQUENCES IN SEQUENCE SPACES BY M. DORLEIJN (Communicated by Prof. J. F. KoKSMA at the meeting of January 26, 1957) In the theory of sequence spaces, given by KoTHE and ToEPLITZ

More information

Quantum Theory. Thornton and Rex, Ch. 6

Quantum Theory. Thornton and Rex, Ch. 6 Quantum Theory Thornton and Rex, Ch. 6 Matter can behave like waves. 1) What is the wave equation? 2) How do we interpret the wave function y(x,t)? Light Waves Plane wave: y(x,t) = A cos(kx-wt) wave (w,k)

More information

Inverse Scattering Transform and the Theory of Solitons

Inverse Scattering Transform and the Theory of Solitons Inverse Scattering Transform and the Theory of Solitons TUNCAY AKTOSUN ab a University of Texas at Arlington Arlington Texas USA b Supported in part by the National Science Foundation under grant DMS-0610494

More information

ON AN INEQUALITY OF KOLMOGOROV AND STEIN

ON AN INEQUALITY OF KOLMOGOROV AND STEIN BULL. AUSTRAL. MATH. SOC. VOL. 61 (2000) [153-159] 26B35, 26D10 ON AN INEQUALITY OF KOLMOGOROV AND STEIN HA HUY BANG AND HOANG MAI LE A.N. Kolmogorov showed that, if /,/',..., /'"' are bounded continuous

More information

THREE DIMENSIONAL INVERSE SCATTERING FOR THE CLASSICAL WAVE EQUATION WITH

THREE DIMENSIONAL INVERSE SCATTERING FOR THE CLASSICAL WAVE EQUATION WITH THREE DIMENSIONAL INVERSE SCATTERING FOR THE CLASSICAL WAVE EQUATION WITH VARIABLE SPEED Margaret Cheney, James H. Rose, and Brian DeFacio Department of Mathematics, Duke University, Durham, NC 27706 Ames

More information

Euclidean Special Relativity

Euclidean Special Relativity Foundations of Physics, Vol. 33, No. 8, August 2003 ( 2003) Euclidean Special Relativity Alexander Gersten 1 Received February 19, 2003 New four coordinates are introduced which are related to the usual

More information

Wavepacket evolution in an unbound system

Wavepacket evolution in an unbound system J. Phys. B: At. Mol. Opt. Phys. 31 (1998) L891 L897. Printed in the UK PII: S953-475(98)9711- LETTER TO THE EDITOR Wavepacket evolution in an unbound system Xiangyang Wang and Dan Dill Department of Chemistry,

More information

Quantum Theory. Thornton and Rex, Ch. 6

Quantum Theory. Thornton and Rex, Ch. 6 Quantum Theory Thornton and Rex, Ch. 6 Matter can behave like waves. 1) What is the wave equation? 2) How do we interpret the wave function y(x,t)? Light Waves Plane wave: y(x,t) = A cos(kx-wt) wave (w,k)

More information

Solving ground eigenvalue and eigenfunction of spheroidal wave equation at low frequency by supersymmetric quantum mechanics method

Solving ground eigenvalue and eigenfunction of spheroidal wave equation at low frequency by supersymmetric quantum mechanics method Chin. Phys. B Vol. 0, No. (0) 00304 Solving ground eigenvalue eigenfunction of spheroidal wave equation at low frequency by supersymmetric quantum mechanics method Tang Wen-Lin( ) Tian Gui-Hua( ) School

More information

A Detailed Look at a Discrete Randomw Walk with Spatially Dependent Moments and Its Continuum Limit

A Detailed Look at a Discrete Randomw Walk with Spatially Dependent Moments and Its Continuum Limit A Detailed Look at a Discrete Randomw Walk with Spatially Dependent Moments and Its Continuum Limit David Vener Department of Mathematics, MIT May 5, 3 Introduction In 8.366, we discussed the relationship

More information

THE MINIMUM NUMBER OF GENERATORS FOR INSEPARABLE ALGEBRAIC EXTENSIONS 1

THE MINIMUM NUMBER OF GENERATORS FOR INSEPARABLE ALGEBRAIC EXTENSIONS 1 THE MINIMUM NUMBER OF GENERATORS FOR INSEPARABLE ALGEBRAIC EXTENSIONS 1 M. F. BECKER AND S. MACLANE 1. Finite algebraic extensions of imperfect fields. A finite separable algebraic extension L of a given

More information

Three-dimensional inverse scattering for the wave equation with variable speed: near-field formulae using point sources

Three-dimensional inverse scattering for the wave equation with variable speed: near-field formulae using point sources Inverse Problems 5 (1989) 1-6. Printed in the UK Three-dimensional inverse scattering for the wave equation with variable speed: near-field formulae using point sources Margaret Cheney?$, Gregory BeylkinB,

More information

OPERATIONS RESEARCH CENTER. ^ l^ COPY $. /^ UPDATING THE PRODUCT FORM OF THE INVERSE FOR THE REVERSED SIMPLEX METHOD

OPERATIONS RESEARCH CENTER. ^ l^ COPY $. /^ UPDATING THE PRODUCT FORM OF THE INVERSE FOR THE REVERSED SIMPLEX METHOD -,i.im»»-i.wu, i^~*^~mi^^mmmrim*^f~*^mmm _^,^. [ CO ORC 64-33 DECEMBER 1964 < UPDATING THE PRODUCT FORM OF THE INVERSE FOR THE REVERSED SIMPLEX METHOD COPY $. /^ ^QQFICHE J. ^ 3-^ by George B. Dantzig

More information

Introduction to solid state physics

Introduction to solid state physics PHYS 342/555 Introduction to solid state physics Instructor: Dr. Pengcheng Dai Professor of Physics The University of Tennessee (Room 407A, Nielsen, 974-1509) Chapter 5: Thermal properties Lecture in pdf

More information

Bounds for Eigenvalues of Tridiagonal Symmetric Matrices Computed. by the LR Method. By Gene H. Golub

Bounds for Eigenvalues of Tridiagonal Symmetric Matrices Computed. by the LR Method. By Gene H. Golub Bounds for Eigenvalues of Tridiagonal Symmetric Matrices Computed by the LR Method By Gene H. Golub 1. Introduction. In recent years, a number of methods have been proposed for finding the eigenvalues

More information

A uniqueness result for one-dimensional inverse scattering

A uniqueness result for one-dimensional inverse scattering Math. Nachr. 285, No. 8 9, 941 948 (2012) / DOI 10.1002/mana.201100101 A uniqueness result for one-dimensional inverse scattering C. Bennewitz 1,B.M.Brown 2, and R. Weikard 3 1 Department of Mathematics,

More information

IMRN Inverse Spectral Analysis with Partial Information on the Potential III. Updating Boundary Conditions Rafael del Rio Fritz Gesztesy

IMRN Inverse Spectral Analysis with Partial Information on the Potential III. Updating Boundary Conditions Rafael del Rio Fritz Gesztesy IMRN International Mathematics Research Notices 1997, No. 15 Inverse Spectral Analysis with Partial Information on the Potential, III. Updating Boundary Conditions Rafael del Rio, Fritz Gesztesy, and Barry

More information

Waves, the Wave Equation, and Phase Velocity. We ll start with optics. The one-dimensional wave equation. What is a wave? Optional optics texts: f(x)

Waves, the Wave Equation, and Phase Velocity. We ll start with optics. The one-dimensional wave equation. What is a wave? Optional optics texts: f(x) We ll start with optics Optional optics texts: Waves, the Wave Equation, and Phase Velocity What is a wave? f(x) f(x-) f(x-) f(x-3) Eugene Hecht, Optics, 4th ed. J.F. James, A Student's Guide to Fourier

More information

A STEEPEST DESCENT METHOD FOR OSCILLATORY RIEMANN-HILBERT PROBLEMS

A STEEPEST DESCENT METHOD FOR OSCILLATORY RIEMANN-HILBERT PROBLEMS BULLETIN (New Series) OF THE AMERICAN MATHEMATICAL SOCIETY Volume 26, Number 1, January 1992 A STEEPEST DESCENT METHOD FOR OSCILLATORY RIEMANN-HILBERT PROBLEMS P. DEIFT AND X. ZHOU In this announcement

More information

Lecture 7. 1 Wavepackets and Uncertainty 1. 2 Wavepacket Shape Changes 4. 3 Time evolution of a free wave packet 6. 1 Φ(k)e ikx dk. (1.

Lecture 7. 1 Wavepackets and Uncertainty 1. 2 Wavepacket Shape Changes 4. 3 Time evolution of a free wave packet 6. 1 Φ(k)e ikx dk. (1. Lecture 7 B. Zwiebach February 8, 06 Contents Wavepackets and Uncertainty Wavepacket Shape Changes 4 3 Time evolution of a free wave packet 6 Wavepackets and Uncertainty A wavepacket is a superposition

More information

Lecture 10: Solving the Time-Independent Schrödinger Equation. 1 Stationary States 1. 2 Solving for Energy Eigenstates 3

Lecture 10: Solving the Time-Independent Schrödinger Equation. 1 Stationary States 1. 2 Solving for Energy Eigenstates 3 Contents Lecture 1: Solving the Time-Independent Schrödinger Equation B. Zwiebach March 14, 16 1 Stationary States 1 Solving for Energy Eigenstates 3 3 Free particle on a circle. 6 1 Stationary States

More information

Semi-Relativistic Reflection and Transmission Coefficients for Two Spinless Particles Separated by a Rectangular-Shaped Potential Barrier

Semi-Relativistic Reflection and Transmission Coefficients for Two Spinless Particles Separated by a Rectangular-Shaped Potential Barrier Commun. Theor. Phys. 66 (2016) 389 395 Vol. 66, No. 4, October 1, 2016 Semi-Relativistic Reflection and Transmission Coefficients for Two Spinless Particles Separated by a Rectangular-Shaped Potential

More information

Maximum Process Problems in Optimal Control Theory

Maximum Process Problems in Optimal Control Theory J. Appl. Math. Stochastic Anal. Vol. 25, No., 25, (77-88) Research Report No. 423, 2, Dept. Theoret. Statist. Aarhus (2 pp) Maximum Process Problems in Optimal Control Theory GORAN PESKIR 3 Given a standard

More information

New Bounds For Pairwise Orthogonal Diagonal Latin Squares

New Bounds For Pairwise Orthogonal Diagonal Latin Squares New Bounds For Pairwise Orthogonal Diagonal Latin Squares B.Du Department of Mathematics, Suzhou University Suzhou 215006 China (PRC) Abstract A diagonal Latin square is a Latin square whose main diagonal

More information

arxiv:math/ v1 [math.ap] 28 Oct 2005

arxiv:math/ v1 [math.ap] 28 Oct 2005 arxiv:math/050643v [math.ap] 28 Oct 2005 A remark on asymptotic completeness for the critical nonlinear Klein-Gordon equation Hans Lindblad and Avy Soffer University of California at San Diego and Rutgers

More information

be stationary under variations in A, we obtain Maxwell s equations in the form ν J ν = 0. (7.5)

be stationary under variations in A, we obtain Maxwell s equations in the form ν J ν = 0. (7.5) Chapter 7 A Synopsis of QED We will here sketch the outlines of quantum electrodynamics, the theory of electrons and photons, and indicate how a calculation of an important physical quantity can be carried

More information

Complete q-moment Convergence of Moving Average Processes under ϕ-mixing Assumption

Complete q-moment Convergence of Moving Average Processes under ϕ-mixing Assumption Journal of Mathematical Research & Exposition Jul., 211, Vol.31, No.4, pp. 687 697 DOI:1.377/j.issn:1-341X.211.4.14 Http://jmre.dlut.edu.cn Complete q-moment Convergence of Moving Average Processes under

More information

DEPARTMENT OF MATHEMATICS AND STATISTICS UNIVERSITY OF MASSACHUSETTS. MATH 233 SOME SOLUTIONS TO EXAM 2 Fall 2018

DEPARTMENT OF MATHEMATICS AND STATISTICS UNIVERSITY OF MASSACHUSETTS. MATH 233 SOME SOLUTIONS TO EXAM 2 Fall 2018 DEPARTMENT OF MATHEMATICS AND STATISTICS UNIVERSITY OF MASSACHUSETTS MATH 233 SOME SOLUTIONS TO EXAM 2 Fall 208 Version A refers to the regular exam and Version B to the make-up. Version A. A particle

More information

Memoryless output feedback nullification and canonical forms, for time varying systems

Memoryless output feedback nullification and canonical forms, for time varying systems Memoryless output feedback nullification and canonical forms, for time varying systems Gera Weiss May 19, 2005 Abstract We study the possibility of nullifying time-varying systems with memoryless output

More information

SELF-ADJOINTNESS OF DIRAC OPERATORS VIA HARDY-DIRAC INEQUALITIES

SELF-ADJOINTNESS OF DIRAC OPERATORS VIA HARDY-DIRAC INEQUALITIES SELF-ADJOINTNESS OF DIRAC OPERATORS VIA HARDY-DIRAC INEQUALITIES MARIA J. ESTEBAN 1 AND MICHAEL LOSS Abstract. Distinguished selfadjoint extension of Dirac operators are constructed for a class of potentials

More information

SUFFICIENT CONDITIONS FOR THE CONVERGENCE OF NEWTON'S METHOD IN COMPLEX BANACH SPACES1

SUFFICIENT CONDITIONS FOR THE CONVERGENCE OF NEWTON'S METHOD IN COMPLEX BANACH SPACES1 SUFFICIENT CONDITIONS FOR THE CONVERGENCE OF NEWTON'S METHOD IN COMPLEX BANACH SPACES1 MARVIN L. STEIN 1. Introduction. Let T(y) be an operator defined on a Banach space Y into another such space and let

More information

Complex Solutions to the Klein-Gordon Equation

Complex Solutions to the Klein-Gordon Equation University of Rochester Quantum Field Theory II Professor Sarada Rajeev Complex Solutions to the Klein-Gordon Equation David Mayrhofer PHY 39 Independent Study Paper April 0th, 08 Introduction At this

More information

ANNALES DE L I. H. P., SECTION C

ANNALES DE L I. H. P., SECTION C ANNALES DE L I. H. P., SECTION C KAISING TSO Remarks on critical exponents for hessian operators Annales de l I. H. P., section C, tome 7, n o 2 (1990), p. 113-122

More information

An Example of Embedded Singular Continuous Spectrum for One-Dimensional Schrödinger Operators

An Example of Embedded Singular Continuous Spectrum for One-Dimensional Schrödinger Operators Letters in Mathematical Physics (2005) 72:225 231 Springer 2005 DOI 10.1007/s11005-005-7650-z An Example of Embedded Singular Continuous Spectrum for One-Dimensional Schrödinger Operators OLGA TCHEBOTAEVA

More information

Photonic zitterbewegung and its interpretation*

Photonic zitterbewegung and its interpretation* Photonic zitterbewegung and its interpretation* Zhi-Yong Wang, Cai-Dong Xiong, Qi Qiu School of Optoelectronic Information, University of Electronic Science and Technology of China, Chengdu 654, CHINA

More information

Energy spectrum for a short-range 1/r singular potential with a nonorbital barrier using the asymptotic iteration method

Energy spectrum for a short-range 1/r singular potential with a nonorbital barrier using the asymptotic iteration method Energy spectrum for a short-range 1/r singular potential with a nonorbital barrier using the asymptotic iteration method A. J. Sous 1 and A. D. Alhaidari 1 Al-Quds Open University, Tulkarm, Palestine Saudi

More information

Kernel Method: Data Analysis with Positive Definite Kernels

Kernel Method: Data Analysis with Positive Definite Kernels Kernel Method: Data Analysis with Positive Definite Kernels 2. Positive Definite Kernel and Reproducing Kernel Hilbert Space Kenji Fukumizu The Institute of Statistical Mathematics. Graduate University

More information

Physics 486 Discussion 5 Piecewise Potentials

Physics 486 Discussion 5 Piecewise Potentials Physics 486 Discussion 5 Piecewise Potentials Problem 1 : Infinite Potential Well Checkpoints 1 Consider the infinite well potential V(x) = 0 for 0 < x < 1 elsewhere. (a) First, think classically. Potential

More information

Lecture 4. 1 de Broglie wavelength and Galilean transformations 1. 2 Phase and Group Velocities 4. 3 Choosing the wavefunction for a free particle 6

Lecture 4. 1 de Broglie wavelength and Galilean transformations 1. 2 Phase and Group Velocities 4. 3 Choosing the wavefunction for a free particle 6 Lecture 4 B. Zwiebach February 18, 2016 Contents 1 de Broglie wavelength and Galilean transformations 1 2 Phase and Group Velocities 4 3 Choosing the wavefunction for a free particle 6 1 de Broglie wavelength

More information

arxiv:math/ v5 [math.ac] 17 Sep 2009

arxiv:math/ v5 [math.ac] 17 Sep 2009 On the elementary symmetric functions of a sum of matrices R. S. Costas-Santos arxiv:math/0612464v5 [math.ac] 17 Sep 2009 September 17, 2009 Abstract Often in mathematics it is useful to summarize a multivariate

More information

Calculation of Franck-Condon factors and r-centroids using isospectral Hamiltonian approach

Calculation of Franck-Condon factors and r-centroids using isospectral Hamiltonian approach Indian Journal of Pure & Applied Physics Vol. 43, October 5, pp. 738-74 Calculation of Franck-Condon factors and r-centroids using isospectral Hamiltonian approach Anil Kumar & C Nagaraja Kumar* Department

More information

Visit to meet more individuals who benefit from your time

Visit   to meet more individuals who benefit from your time NOURISHINGN G. Vlz S 2009 BR i y ii li i Cl. N i. J l l. Rl. A y l l i i ky. Vii.li.l. iiil i y i &. 71 y l Cl y, i iil k. 28 y, k My W i ily l i. Uil y, y k i i. T j il y. Ty il iy ly y - li G, y Cl.

More information

A CLASS OF SCHUR MULTIPLIERS ON SOME QUASI-BANACH SPACES OF INFINITE MATRICES

A CLASS OF SCHUR MULTIPLIERS ON SOME QUASI-BANACH SPACES OF INFINITE MATRICES A CLASS OF SCHUR MULTIPLIERS ON SOME QUASI-BANACH SPACES OF INFINITE MATRICES NICOLAE POPA Abstract In this paper we characterize the Schur multipliers of scalar type (see definition below) acting on scattered

More information

Separation of relaxation time scales in a quantum Newton s cradle

Separation of relaxation time scales in a quantum Newton s cradle Separation of relaxation time scales in a quantum Newton s cradle Rianne van den Berg Universiteit van Amsterdam CRM: Beyond integrability Research team UvA Bram Wouters PhD student BNL Robert Konik PI

More information

1 Mathematical preliminaries

1 Mathematical preliminaries 1 Mathematical preliminaries The mathematical language of quantum mechanics is that of vector spaces and linear algebra. In this preliminary section, we will collect the various definitions and mathematical

More information

Mi-Hwa Ko. t=1 Z t is true. j=0

Mi-Hwa Ko. t=1 Z t is true. j=0 Commun. Korean Math. Soc. 21 (2006), No. 4, pp. 779 786 FUNCTIONAL CENTRAL LIMIT THEOREMS FOR MULTIVARIATE LINEAR PROCESSES GENERATED BY DEPENDENT RANDOM VECTORS Mi-Hwa Ko Abstract. Let X t be an m-dimensional

More information

Physics 606, Quantum Mechanics, Final Exam NAME ( ) ( ) + V ( x). ( ) and p( t) be the corresponding operators in ( ) and x( t) : ( ) / dt =...

Physics 606, Quantum Mechanics, Final Exam NAME ( ) ( ) + V ( x). ( ) and p( t) be the corresponding operators in ( ) and x( t) : ( ) / dt =... Physics 606, Quantum Mechanics, Final Exam NAME Please show all your work. (You are graded on your work, with partial credit where it is deserved.) All problems are, of course, nonrelativistic. 1. Consider

More information

kg meter ii) Note the dimensions of ρ τ are kg 2 velocity 2 meter = 1 sec 2 We will interpret this velocity in upcoming slides.

kg meter ii) Note the dimensions of ρ τ are kg 2 velocity 2 meter = 1 sec 2 We will interpret this velocity in upcoming slides. II. Generalizing the 1-dimensional wave equation First generalize the notation. i) "q" has meant transverse deflection of the string. Replace q Ψ, where Ψ may indicate other properties of the medium that

More information

Equations of the Korteweg-de Vries type with non-trivial conserved quantities

Equations of the Korteweg-de Vries type with non-trivial conserved quantities J. Phys. A: Math. Gen. 22 (1989) 4135-4142. Printed in the UK Equations of the Korteweg-de Vries type with non-trivial conserved quantities Rafael D Benguriat and M Cristina DepassierS t Departamento de

More information

New Homoclinic and Heteroclinic Solutions for Zakharov System

New Homoclinic and Heteroclinic Solutions for Zakharov System Commun. Theor. Phys. 58 (2012) 749 753 Vol. 58, No. 5, November 15, 2012 New Homoclinic and Heteroclinic Solutions for Zakharov System WANG Chuan-Jian ( ), 1 DAI Zheng-De (à ), 2, and MU Gui (½ ) 3 1 Department

More information

arxiv: v1 [gr-qc] 27 Nov 2007

arxiv: v1 [gr-qc] 27 Nov 2007 Perturbations for the Coulomb - Kepler problem on de Sitter space-time Pop Adrian Alin arxiv:0711.4224v1 [gr-qc] 27 Nov 2007 Abstract West University of Timişoara, V. Pârvan Ave. 4, RO-300223 Timişoara,

More information

LECTURE 4 WAVE PACKETS

LECTURE 4 WAVE PACKETS LECTURE 4 WAVE PACKETS. Comparison between QM and Classical Electrons Classical physics (particle) Quantum mechanics (wave) electron is a point particle electron is wavelike motion described by * * F ma

More information

Persistence and global stability in discrete models of Lotka Volterra type

Persistence and global stability in discrete models of Lotka Volterra type J. Math. Anal. Appl. 330 2007 24 33 www.elsevier.com/locate/jmaa Persistence global stability in discrete models of Lotka Volterra type Yoshiaki Muroya 1 Department of Mathematical Sciences, Waseda University,

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Chemistry 5.76 Revised February, 1982 NOTES ON MATRIX METHODS

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Chemistry 5.76 Revised February, 1982 NOTES ON MATRIX METHODS MASSACHUSETTS INSTITUTE OF TECHNOLOGY Chemistry 5.76 Revised February, 198 NOTES ON MATRIX METHODS 1. Matrix Algebra Margenau and Murphy, The Mathematics of Physics and Chemistry, Chapter 10, give almost

More information

Topological Insulator Surface States and Electrical Transport. Alexander Pearce Intro to Topological Insulators: Week 11 February 2, / 21

Topological Insulator Surface States and Electrical Transport. Alexander Pearce Intro to Topological Insulators: Week 11 February 2, / 21 Topological Insulator Surface States and Electrical Transport Alexander Pearce Intro to Topological Insulators: Week 11 February 2, 2017 1 / 21 This notes are predominately based on: J.K. Asbóth, L. Oroszlány

More information

A NOTE ON A BASIS PROBLEM

A NOTE ON A BASIS PROBLEM PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 51, Number 2, September 1975 A NOTE ON A BASIS PROBLEM J. M. ANDERSON ABSTRACT. It is shown that the functions {exp xvx\v_. form a basis for the

More information

SEPARABLE TERM STRUCTURES AND THE MAXIMAL DEGREE PROBLEM. 1. Introduction This paper discusses arbitrage-free separable term structure (STS) models

SEPARABLE TERM STRUCTURES AND THE MAXIMAL DEGREE PROBLEM. 1. Introduction This paper discusses arbitrage-free separable term structure (STS) models SEPARABLE TERM STRUCTURES AND THE MAXIMAL DEGREE PROBLEM DAMIR FILIPOVIĆ Abstract. This paper discusses separable term structure diffusion models in an arbitrage-free environment. Using general consistency

More information

ASYMPTOTIC DISTRIBUTION OF THE MAXIMUM CUMULATIVE SUM OF INDEPENDENT RANDOM VARIABLES

ASYMPTOTIC DISTRIBUTION OF THE MAXIMUM CUMULATIVE SUM OF INDEPENDENT RANDOM VARIABLES ASYMPTOTIC DISTRIBUTION OF THE MAXIMUM CUMULATIVE SUM OF INDEPENDENT RANDOM VARIABLES KAI LAI CHUNG The limiting distribution of the maximum cumulative sum 1 of a sequence of independent random variables

More information