Ergodic Isospectral Theory of the Lax Pairs of Euler Equations with Harmonic Analysis Flavor
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Contact Lax Pairs and Associated (3+ 1)-Dimensional Integrable Dispersionless Systems
Contact Lax pairs and associated (3+1)-dimensional integrable dispersionless systems Maciej B laszak a and Artur Sergyeyev b a Faculty of Physics, Division of Mathematical Physics, A. Mickiewicz University Umultowska 85, 61-614 Pozna´n, Poland E-mail [email protected] b Mathematical Institute, Silesian University in Opava, Na Rybn´ıˇcku 1, 74601 Opava, Czech Republic E-mail [email protected] January 17, 2019 Abstract We review the recent approach to the construction of (3+1)-dimensional integrable dispersionless partial differential systems based on their contact Lax pairs and the related R-matrix theory for the Lie algebra of functions with respect to the contact bracket. We discuss various kinds of Lax representations for such systems, in particular, linear nonisospectral contact Lax pairs and nonlinear contact Lax pairs as well as the relations among the two. Finally, we present a large number of examples with finite and infinite number of dependent variables, as well as the reductions of these examples to lower-dimensional integrable dispersionless systems. 1 Introduction Integrable systems play an important role in modern mathematics and theoretical and mathematical arXiv:1901.05181v1 [nlin.SI] 16 Jan 2019 physics, cf. e.g. [15, 34], and, since according to general relativity our spacetime is four-dimensional, integrable systems in four independent variables ((3+1)D for short; likewise (n+1)D is shorthand for n + 1 independent variables) are particularly interesting. For a long time it appeared that such systems were very difficult to find but in a recent paper by one of us [39] a novel systematic and effective construction for a large new class of integrable (3+1)D systems was introduced. -
Arxiv:2012.03456V1 [Nlin.SI] 7 Dec 2020 Emphasis on the Kdv Equation
Integrable systems: From the inverse spectral transform to zero curvature condition Basir Ahamed Khan,1, ∗ Supriya Chatterjee,2 Sekh Golam Ali,3 and Benoy Talukdar4 1Department of Physics, Krishnath College, Berhampore, Murshidabad 742101, India 2Department of Physics, Bidhannagar College, EB-2, Sector-1, Salt Lake, Kolkata 700064, India 3Department of Physics, Kazi Nazrul University, Asansol 713303, India 4Department of Physics, Visva-Bharati University, Santiniketan 731235, India This `research-survey' is meant for beginners in the studies of integrable systems. Here we outline some analytical methods for dealing with a class of nonlinear partial differential equations. We pay special attention to `inverse spectral transform', `Lax pair representation', and `zero-curvature condition' as applied to these equations. We provide a number of interesting exmples to gain some physico-mathematical feeling for the methods presented. PACS numbers: Keywords: Nonlinear Partial Differential Equations, Integrable Systems, Inverse Spectral Method, Lax Pairs, Zero Curvature Condition 1. Introduction Integrable systems are represented by nonlinear partial differential equations (NLPDEs) which, in principle, can be solved by analytic methods. This necessarily implies that the solution of such equations can be constructed using a finite number of algebraic operations and integrations. The inverse scattering method as discovered by Gardner, Greene, Kruskal and Miura [1] represents a very useful tool to analytically solve a class of nonlinear differential equa- tions which support soliton solutions. Solitons are localized waves that propagate without change in their properties (shape, velocity etc.). These waves are stable against mutual collision and retain their identities except for some trivial phase change. Mechanistically, the linear and nonlinear terms in NLPDEs have opposite effects on the wave propagation. -
The Idea of a Lax Pair–Part II∗ Continuum Wave Equations
GENERAL ARTICLE The Idea of a Lax Pair–Part II∗ Continuum Wave Equations Govind S. Krishnaswami and T R Vishnu In Part I [1], we introduced the idea of a Lax pair and ex- plained how it could be used to obtain conserved quantities for systems of particles. Here, we extend these ideas to con- tinuum mechanical systems of fields such as the linear wave equation for vibrations of a stretched string and the Korteweg- de Vries (KdV) equation for water waves. Unlike the Lax ma- trices for systems of particles, here Lax pairs are differential operators. A key idea is to view the Lax equation as a com- Govind Krishnaswami is on the faculty of the Chennai patibility condition between a pair of linear equations. This is Mathematical Institute. He used to obtain a geometric reformulation of the Lax equation works on various problems in as the condition for a certain curvature to vanish. This ‘zero theoretical and mathematical curvature representation’ then leads to a recipe for finding physics. (typically an infinite sequence of) conserved quantities. 1. Introduction In the first part of this article [1], we introduced the idea of a dy- namical system: one whose variables evolve in time, typically via T R Vishnu is a PhD student at the Chennai Mathematical differential equations. It was pointed out that conserved quanti- Institute. He has been ties, which are dynamical variables that are constant along trajec- working on integrable tories help in simplifying the dynamics and solving the equations systems. of motion (EOM) both in the classical and quantum settings. -
Unbounded Jacobi Matrices with a Few Gaps in the Essential Spectrum: Constructive Examples
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Springer - Publisher Connector Integr. Equ. Oper. Theory 69 (2011), 151–170 DOI 10.1007/s00020-010-1856-x Published online January 11, 2011 c The Author(s) This article is published Integral Equations with open access at Springerlink.com 2010 and Operator Theory Unbounded Jacobi Matrices with a Few Gaps in the Essential Spectrum: Constructive Examples Anne Boutet de Monvel, Jan Janas and Serguei Naboko Abstract. We give explicit examples of unbounded Jacobi operators with a few gaps in their essential spectrum. More precisely a class of Jacobi matrices whose absolutely continuous spectrum fills any finite number of bounded intervals is considered. Their point spectrum accumulates to +∞ and −∞. The asymptotics of large eigenvalues is also found. Mathematics Subject Classification (2010). Primary 47B36; Secondary 47A10, 47B25. Keywords. Jacobi matrix, essential spectrum, gaps, asymptotics. 1. Introduction In this paper we look for examples of unbounded Jacobi matrices with sev- 2 2 eral gaps in the essential spectrum. Let 0 = 0(N) be the space of sequences ∞ {fk}1 with a finite number of nonzero coordinates. For given real sequences ∞ ∞ 2 {ak}1 and {bk}1 the Jacobi operator J 0 acts in 0 by the formula (J 0 f)k = ak−1fk−1 + bkfk + akfk+1 (1.1) where k =1, 2, ... and a0 = f0 =0.Theak’s and bk’s are called the weights and diagonal terms, respectively. ∞ In what follows we deal with positive sequences {ak}1 . By Carleman’s 2 2 criterion [1] one can extend J 0 to a self-adjoint operator J in = (N) provided that 1 =+∞. -
The Essential Spectrum of Schr¨Odinger, Jacobi, And
THE ESSENTIAL SPECTRUM OF SCHRODINGER,¨ JACOBI, AND CMV OPERATORS YORAM LAST1;3 AND BARRY SIMON2;3 Abstract. We provide a very general result that identifies the essential spectrum of broad classes of operators as exactly equal to the closure of the union of the spectra of suitable limits at infinity. Included is a new result on the essential spectra when potentials are asymptotic to isospectral tori. We also recover with a unified framework the HVZ theorem and Krein’s results on orthogonal polynomials with finite essential spectra. 1. Introduction One of the most simple but also most powerful ideas in spectral the- ory is Weyl’s theorem, of which a typical application is (in this intro- duction, in order to avoid technicalities, we take potentials bounded): Theorem 1.1. If V; W are bounded functions on Rº and limjxj!1[V (x) ¡ W (x)] = 0, then σess(¡∆ + V ) = σess(¡∆ + W ) (1.1) Our goal in this paper is to find a generalization of this result that allows “slippage” near infinity. Typical of our results are the following: Theorem 1.2. Let V be a bounded periodic function on (¡1; 1) d2 2 and HV the operator ¡ dx2 + V (x) on L (R). For x > 0, define p d2 2 W (x) = V (x + x) and let HW be ¡ dx2 + W (x) on L (0; 1) with some selfadjoint boundary conditions at zero. Then σess(HW ) = σ(HV ) (1.2) Date: March 7, 2005. 1 Institute of Mathematics, The Hebrew University, 91904 Jerusalem, Israel. E- mail: [email protected]. -
Ultra-Weak Time Operators of Schrodinger Operators
Title Ultra-Weak Time Operators of Schrodinger Operators Author(s) Arai, Asao; Hiroshima, Fumio Annales Henri Poincaré, 18(9), 2995-3033 Citation https://doi.org/10.1007/s00023-017-0586-x Issue Date 2017-09 Doc URL http://hdl.handle.net/2115/71420 Rights The final publication is available at link.springer.com Type article (author version) File Information arai-hiroshima-rev.pdf Instructions for use Hokkaido University Collection of Scholarly and Academic Papers : HUSCAP Ultra-Weak Time Operators of SchrÄodinger Operators Asao Arai and Fumio Hiroshima Abstract. In an abstract framework, a new concept on time operator, ultra-weak time operator, is introduced, which is a concept weaker than that of weak time operator. Theorems on the existence of an ultra- weak time operator are established. As an application of the theorems, it is shown that SchrÄodingeroperators HV with potentials V obeying suitable conditions, including the Hamiltonian of the hydrogen atom, have ultra-weak time operators. Moreover, a class of Borel measurable functions f : R ! R such that f(HV ) has an ultra-weak time operator is found. Keywords. Time operators, Weyl relations, CCR, SchrÄodingeroperators. 1. Introduction The present paper concerns a time operator in quantum theory which is de- ¯ned, in a ¯rst stage of cognition, as a symmetric operator canonically con- jugate to a Hamiltonian if it exists. The uncertainty relation which is derived from the canonical commutation relation of a time operator and a Hamil- tonian may be interpreted as a mathematically rigorous form of time-energy uncertainty relation. Moreover time operators may play important roles in quantum phenomena [Miy01, Ara05, Ara08b, AM08b , MME08, MME09]. -
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 Korteweg-de Vries equation (KdV) is considered, and it is derived by using the Lax method and the AKNS method. An outline of the inverse scattering problem and of its solution is presented for the associated Schr¨odinger equation on the line. The inverse scattering transform is described to solve the initial-value problem for the KdV, and the time evolution of the corresponding scattering data is obtained. Soliton solutions to the KdV are derived in several ways. Mathematics Subject Classification (2000): 35Q53, 35Q51, 81U40 Keywords: Korteweg-de Vries equation, inverse scattering transform, soliton Short title: KdV and inverse scattering 1 1. INTRODUCTION The Korteweg-de Vries equation (KdV, for short) is used to model propagation of water waves in long, narrow, and shallow canals. It was first formulated [1] in 1895 by the Dutch mathematicians Diederik Johannes Korteweg and Gustav de Vries. Korteweg was a well known mathematician of his time, and de Vries wrote a doctoral thesis on the subject under Korteweg. After some scaling, it is customary to write the KdV in the form @u @u @3u 6u + = 0; x R; t > 0; (1.1) @t − @x @x3 2 where u(x; t) corresponds to the vertical displacement of the water from the equilibrium − at the location x at time t: Replacing u by u amounts to replacing 6 by +6 in (1.1). − − Also, by scaling x; t; and u; i.e. -
Spectrum (Functional Analysis) - Wikipedia, the Free Encyclopedia
Spectrum (functional analysis) - Wikipedia, the free encyclopedia http://en.wikipedia.org/wiki/Spectrum_(functional_analysis) Spectrum (functional analysis) From Wikipedia, the free encyclopedia In functional analysis, the concept of the spectrum of a bounded operator is a generalisation of the concept of eigenvalues for matrices. Specifically, a complex number λ is said to be in the spectrum of a bounded linear operator T if λI − T is not invertible, where I is the identity operator. The study of spectra and related properties is known as spectral theory, which has numerous applications, most notably the mathematical formulation of quantum mechanics. The spectrum of an operator on a finite-dimensional vector space is precisely the set of eigenvalues. However an operator on an infinite-dimensional space may have additional elements in its spectrum, and may have no eigenvalues. For example, consider the right shift operator R on the Hilbert space ℓ2, This has no eigenvalues, since if Rx=λx then by expanding this expression we see that x1=0, x2=0, etc. On the other hand 0 is in the spectrum because the operator R − 0 (i.e. R itself) is not invertible: it is not surjective since any vector with non-zero first component is not in its range. In fact every bounded linear operator on a complex Banach space must have a non-empty spectrum. The notion of spectrum extends to densely-defined unbounded operators. In this case a complex number λ is said to be in the spectrum of such an operator T:D→X (where D is dense in X) if there is no bounded inverse (λI − T)−1:X→D. -
Spectral Stability of the Critical Front in the Extended Fisher-KPP Equation
Spectral stability of the critical front in the extended Fisher-KPP equation Montie Avery∗ Louis Garénaux† September 4, 2020 Abstract We revisit the existence and stability of the critical front in the extended Fisher-KPP equation, refining earlier results of Rottschäfer and Wayne [28] which establish stability of fronts without identifying a precise decay rate. We verify that the front is marginally spectrally stable: while the essential spectrum touches the imaginary axis at the origin, there are no unstable eigenvalues and no eigenvalue (or resonance) embedded in the essential spectrum at the origin. Together with the recent work of Avery and Scheel [3], this implies nonlinear stability of the critical front with sharp t−3/2 decay rate, as previously obtained in the classical Fisher-KPP equation. The main challenges are to regularize the singular perturbation in the extended Fisher-KPP equation and to track eigenvalues near the essential spectrum, and we overcome these difficulties with functional analytic methods. 1 Introduction 1.1 Background and main results We consider the extended Fisher-KPP equation 2 ut = δ uxxxx + uxx + f(u), (1.1) − for small values of the parameter δ. Notice that the sign of δ R will play no role in what follows. Here we ∈ assume f is of Fisher-KPP type: f(0) = f(1) = 0, f 0(0) > 0, f 0(1) < 0, and f 00(u) < 0 for all u (0, 1); see ∈ Section 1.2 for comments on this last assumption. Equation (1.1) may be derived as an amplitude equation near certain co-dimension 2 bifurcations in reaction-diffusion systems [27], and for δ = 0, it reduces to the classical Fisher-KPP equation, which is a fundamental model for front propagation into unstable states. -
A Primary Introduction to Spectral Theory
A primary introduction to spectral theory Jianwei Yang∗ Assistant Professor at School of Mathematics and Statistics, Beijing Institute of Technology Chaire internationale au LAGA de l’Université Paris 13 En contriburant au projet scientifique du Labex MME-DII Novembre 2019 ∗http://math.bit.edu.cn/szdw/azcpl/tbfyjy/yjw/index.htm i Contents Introduction iii 1 Hilbert spaces and the spectrum of operators 1 1.1 Hilbert space and its subspaces . 1 1.1.1 Hilbert spaces . 1 1.1.2 Subspaces . 5 1.2 Operators on Hilbert spaces . 7 1.3 Spectrum . 11 2 Self-adjointness 13 2.1 Spectrum of self-adjoint operators . 13 2.2 Fundamental criteria for self-adjointness . 15 3 The essential spectrum and Compact operators 17 3.1 Weyl’s criterion on the essential spectrum . 17 3.2 Compact operators . 20 4 Stability of the essential spectrum: Weyl’s theorem 24 4.1 Relatively compact operators . 24 4.2 Weyl’s Theorem . 24 4.3 An application . 26 Bibliography 28 ii Introduction This course will be at very elementary level with prerequisite only on limited knowledge of integration theory and linear algebra. We will start with the theory of Hilbert space and operators on it, focusing our attention on self-adjoint operators and compact operators. After introducing the general notion of spectrum of an operator and its classification, we move on to certain properties of these operators in connection with their spectral behavior, including a simple version of the Fredholm alternative and Weyl’s theorem, which is about the invariance of the essential spectrum of an operator under relatively compact perturbation. -
Orthogonal Functions Related to Lax Pairs in Lie Algebras
The Ramanujan Journal https://doi.org/10.1007/s11139-021-00424-9 Orthogonal functions related to Lax pairs in Lie algebras Wolter Groenevelt1 · Erik Koelink2 Dedicated to the memory of Richard Askey Received: 5 October 2020 / Accepted: 2 March 2021 © The Author(s) 2021 Abstract We study a Lax pair in a 2-parameter Lie algebra in various representations. The overlap coefficients of the eigenfunctions of L and the standard basis are given in terms of orthogonal polynomials and orthogonal functions. Eigenfunctions for the operator L for a Lax pair for sl(d + 1, C) is studied in certain representations. Keywords Special functions · Orthogonal polynomials · Toda lattice Mathematics Subject Classification 33C80 · 37K10 · 17B80 1 Introduction The link of the Toda lattice to three-term recurrence relations via the Lax pair after the Flaschka coordinate transform is well understood, see e.g. [2,27]. We consider a Lax pair in a specific Lie algebra, such that in irreducible ∗-representations the Lax operator is a Jacobi operator. A Lax pair is a pair of time-dependent matrices or operators L(t) and M(t) satisfying the Lax equation L˙ (t) =[M(t), L(t)], where [ , ] is the commutator and the dot represents differentiation with respect to time. The Lax operator L is isospectral, i.e. the spectrum of L is independent of time. A famous example is the Lax pair for the Toda chain in which L is a self-adjoint Jacobi operator, B Erik Koelink [email protected] Wolter Groenevelt [email protected] 1 Delft Institute of Applied Mathematics, Delft University of Technology, P.O. -
Introduction to Integrable Systems 33Rd SERB Theoretical High Energy Physics Main School, Khalsa College, Delhi Univ
Introduction to Integrable Systems 33rd SERB Theoretical High Energy Physics Main School, Khalsa College, Delhi Univ. December 17-26, 2019 (updated Feb 26, 2020) Govind S. Krishnaswami, Chennai Mathematical Institute Comments and corrections may be sent to [email protected] https://www.cmi.ac.in/˜govind/teaching/integ-serb-thep-del-19/ Contents 1 Some reference books/review articles 2 2 Introduction 3 2.1 Integrability in Hamiltonian mechanics.............................................3 2.2 Liouville-Arnold Theorem...................................................6 2.3 Remarks on commuting flows.................................................9 2.4 Integrability in field theory...................................................9 2.5 Some features of integrable classical field theories.......................................9 2.6 Integrability of quantum systems................................................ 10 2.7 Examples of integrable systems................................................ 11 2.8 Integrable systems in the wider physical context........................................ 12 3 Lax pairs and conserved quantities 12 3.1 Lax pair for the harmonic oscillator.............................................. 12 3.2 Isospectral evolution of the Lax matrix............................................. 13 4 KdV equation and its integrability 15 4.1 Physical background and discovery of inverse scattereing................................... 15 4.2 Similarity and Traveling wave solutions............................................ 17 4.3