Are Hamiltonian Flows Geodesic Flows?
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Functor and Natural Operators on Symplectic Manifolds
Mathematical Methods and Techniques in Engineering and Environmental Science Functor and natural operators on symplectic manifolds CONSTANTIN PĂTRĂŞCOIU Faculty of Engineering and Management of Technological Systems, Drobeta Turnu Severin University of Craiova Drobeta Turnu Severin, Str. Călugăreni, No.1 ROMANIA [email protected] http://www.imst.ro Abstract. Symplectic manifolds arise naturally in abstract formulations of classical Mechanics because the phase–spaces in Hamiltonian mechanics is the cotangent bundle of configuration manifolds equipped with a symplectic structure. The natural functors and operators described in this paper can be helpful both for a unified description of specific proprieties of symplectic manifolds and for finding links to various fields of geometric objects with applications in Hamiltonian mechanics. Key-words: Functors, Natural operators, Symplectic manifolds, Complex structure, Hamiltonian. 1. Introduction. diffeomorphism f : M → N , a vector bundle morphism The geometrics objects (like as vectors, covectors, T*f : T*M→ T*N , which covers f , where −1 tensors, metrics, e.t.c.) on a smooth manifold M, x = x :)*)(()*( x * → xf )( * NTMTfTfT are the elements of the total spaces of a vector So, the cotangent functor, )(:* → VBmManT and bundles with base M. The fields of such geometrics objects are the section in corresponding vector more general ΛkT * : Man(m) → VB , are the bundles. bundle functors from Man(m) to VB, where Man(m) By example, the vectors on a smooth manifold M (subcategory of Man) is the category of m- are the elements of total space of vector bundles dimensional smooth manifolds, the morphisms of this (TM ,π M , M); the covectors on M are the elements category are local diffeomorphisms between of total space of vector bundles (T*M , pM , M). -
Chapter 5. Flow Maps and Dynamical Systems
Chapter 5 Flow Maps and Dynamical Systems Main concepts: In this chapter we introduce the concepts of continuous and discrete dynamical systems on phase space. Keywords are: classical mechanics, phase space, vector field, linear systems, flow maps, dynamical systems Figure 5.1: A solar system is well modelled by classical mechanics. (source: Wikimedia Commons) In Chapter 1 we encountered a variety of ODEs in one or several variables. Only in a few cases could we write out the solution in a simple closed form. In most cases, the solutions will only be obtainable in some approximate sense, either from an asymptotic expansion or a numerical computation. Yet, as discussed in Chapter 3, many smooth systems of differential equations are known to have solutions, even globally defined ones, and so in principle we can suppose the existence of a trajectory through each point of phase space (or through “almost all” initial points). For such systems we will use the existence of such a solution to define a map called the flow map that takes points forward t units in time from their initial points. The concept of the flow map is very helpful in exploring the qualitative behavior of numerical methods, since it is often possible to think of numerical methods as approximations of the flow map and to evaluate methods by comparing the properties of the map associated to the numerical scheme to those of the flow map. 25 26 CHAPTER 5. FLOW MAPS AND DYNAMICAL SYSTEMS In this chapter we will address autonomous ODEs (recall 1.13) only: 0 d y = f(y), y, f ∈ R (5.1) 5.1 Classical mechanics In Chapter 1 we introduced models from population dynamics. -
Hamiltonian and Symplectic Symmetries: an Introduction
BULLETIN (New Series) OF THE AMERICAN MATHEMATICAL SOCIETY Volume 54, Number 3, July 2017, Pages 383–436 http://dx.doi.org/10.1090/bull/1572 Article electronically published on March 6, 2017 HAMILTONIAN AND SYMPLECTIC SYMMETRIES: AN INTRODUCTION ALVARO´ PELAYO In memory of Professor J.J. Duistermaat (1942–2010) Abstract. Classical mechanical systems are modeled by a symplectic mani- fold (M,ω), and their symmetries are encoded in the action of a Lie group G on M by diffeomorphisms which preserve ω. These actions, which are called sym- plectic, have been studied in the past forty years, following the works of Atiyah, Delzant, Duistermaat, Guillemin, Heckman, Kostant, Souriau, and Sternberg in the 1970s and 1980s on symplectic actions of compact Abelian Lie groups that are, in addition, of Hamiltonian type, i.e., they also satisfy Hamilton’s equations. Since then a number of connections with combinatorics, finite- dimensional integrable Hamiltonian systems, more general symplectic actions, and topology have flourished. In this paper we review classical and recent re- sults on Hamiltonian and non-Hamiltonian symplectic group actions roughly starting from the results of these authors. This paper also serves as a quick introduction to the basics of symplectic geometry. 1. Introduction Symplectic geometry is concerned with the study of a notion of signed area, rather than length, distance, or volume. It can be, as we will see, less intuitive than Euclidean or metric geometry and it is taking mathematicians many years to understand its intricacies (which is work in progress). The word “symplectic” goes back to the 1946 book [164] by Hermann Weyl (1885–1955) on classical groups. -
Flows of Continuous-Time Dynamical Systems with No Periodic Orbit As an Equivalence Class Under Topological Conjugacy Relation
Journal of Mathematics and Statistics 7 (3): 207-215, 2011 ISSN 1549-3644 © 2011 Science Publications Flows of Continuous-Time Dynamical Systems with No Periodic Orbit as an Equivalence Class under Topological Conjugacy Relation Tahir Ahmad and Tan Lit Ken Department of Mathematics, Faculty of Science, Nanotechnology Research Alliance, Theoretical and Computational Modeling for Complex Systems, University Technology Malaysia 81310 Skudai, Johor, Malaysia Abstract: Problem statement: Flows of continuous-time dynamical systems with the same number of equilibrium points and trajectories, and which has no periodic orbit form an equivalence class under the topological conjugacy relation. Approach: Arbitrarily, two trajectories resulting from two distinct flows of this type of dynamical systems were written as a set of points (orbit). A homeomorphism which maps between these two sets is then built. Using the notion of topological conjugacy, they were shown to conjugate topologically. By the arbitrariness in selection of flows and their respective initial states, the results were extended to all the flows of dynamical system of that type. Results: Any two flows of such dynamical systems were shown to share the same dynamics temporally along with other properties such as order isomorphic and homeomorphic. Conclusion: Topological conjugacy serves as an equivalence relation in the set of flows of continuous-time dynamical systems which have same number of equilibrium points and trajectories, and has no periodic orbit. Key words: Dynamical system, equilibrium points, trajectories, periodic orbit, equivalence class, topological conjugacy, order isomorphic, Flat Electroencephalography (Flat EEG), dynamical systems INTRODUCTION models. Nandhakumar et al . (2009) for example, the dynamics of robot arm is studied. -
Arxiv:1505.02430V1 [Math.CT] 10 May 2015 Bundle Functors and Fibrations
Bundle functors and fibrations Anders Kock Introduction The notions of bundle, and bundle functor, are useful and well exploited notions in topology and differential geometry, cf. e.g. [12], as well as in other branches of mathematics. The category theoretic set up relevant for these notions is that of fibred category, likewise a well exploited notion, but for certain considerations in the context of bundle functors, it can be carried further. In particular, we formalize and develop, in terms of fibred categories, some of the differential geometric con- structions: tangent- and cotangent bundles, (being examples of bundle functors, respectively star-bundle functors, as in [12]), as well as jet bundles (where the for- mulation of the functorality properties, in terms of fibered categories, is probably new). Part of the development in the present note was expounded in [11], and is repeated almost verbatim in the Sections 2 and 4 below. These sections may have interest as a piece of pure category theory, not referring to differential geometry. 1 Basics on Cartesian arrows We recall here some classical notions. arXiv:1505.02430v1 [math.CT] 10 May 2015 Let π : X → B be any functor. For α : A → B in B, and for objects X,Y ∈ X with π(X) = A and π(Y ) = B, let homα (X,Y) be the set of arrows h : X → Y in X with π(h) = α. The fibre over A ∈ B is the category, denoted XA, whose objects are the X ∈ X with π(X) = A, and whose arrows are arrows in X which by π map to 1A; such arrows are called vertical (over A). -
Cotangent Bundles
This is page 165 Printer: Opaque this 6 Cotangent Bundles In many mechanics problems, the phase space is the cotangent bundle T ∗Q of a configuration space Q. There is an “intrinsic” symplectic structure on T ∗Q that can be described in various equivalent ways. Assume first that Q is n-dimensional, and pick local coordinates (q1,... ,qn)onQ. Since 1 n ∗ ∈ ∗ i (dq ,... ,dq )isabasis of Tq Q,wecan write any α Tq Q as α = pi dq . 1 n This procedure defines induced local coordinates (q ,... ,q ,p1,... ,pn)on T ∗Q. Define the canonical symplectic form on T ∗Q by i Ω=dq ∧ dpi. This defines a two-form Ω, which is clearly closed, and in addition, it can be checked to be independent of the choice of coordinates (q1,... ,qn). Furthermore, observe that Ω is locally constant, that is, the coefficient i multiplying the basis forms dq ∧ dpi, namely the number 1, does not ex- 1 n plicitly depend on the coordinates (q ,... ,q ,p1,... ,pn)ofphase space points. In this section we show how to construct Ω intrinsically, and then we will study this canonical symplectic structure in some detail. 6.1 The Linear Case To motivate a coordinate-independent definition of Ω, consider the case in which Q is a vector space W (which could be infinite-dimensional), so that T ∗Q = W × W ∗.Wehave already described the canonical two-form on 166 6. Cotangent Bundles W × W ∗: Ω(w,α)((u, β), (v, γ)) = γ,u−β,v , (6.1.1) where (w, α) ∈ W × W ∗ is the base point, u, v ∈ W , and β,γ ∈ W ∗. -
The Hypoelliptic Laplacian on the Cotangent Bundle
JOURNAL OF THE AMERICAN MATHEMATICAL SOCIETY Volume 18, Number 2, Pages 379–476 S 0894-0347(05)00479-0 Article electronically published on February 28, 2005 THE HYPOELLIPTIC LAPLACIAN ON THE COTANGENT BUNDLE JEAN-MICHEL BISMUT Contents Introduction 380 1. Generalized metrics and determinants 386 1.1. Determinants 386 1.2. A generalized metric on E· 387 · 1.3. The Hodge theory of hE 387 1.4. A generalized metric on det E· 389 1.5. Determinant of the generalized Laplacian and generalized metrics 391 1.6. Truncating the spectrum of the generalized Laplacian 392 1.7. Generalized metrics on determinant bundles 393 1.8. Determinants and flat superconnections 394 1.9. The Hodge theorem as an open condition 395 1.10. Generalized metrics and flat superconnections 395 1.11. Analyticity and the Hodge condition 397 1.12. The equivariant determinant 397 2. The adjoint of the de Rham operator on the cotangent bundle 399 2.1. Clifford algebras 400 2.2. Vector spaces and bilinear forms 400 2.3. The adjoint of the de Rham operator with respect to a nondegenerate bilinear form 402 2.4. The symplectic adjoint of the de Rham operator 403 2.5. The de Rham operator on T ∗X and its symplectic adjoint 404 ∗ 2.6. A bilinear form on T ∗X and the adjoint of dT X 407 2.7. A fundamental symmetry 408 2.8. A Hamiltonian function 409 2.9. The symmetry in the case where H is r-invariant 412 2.10. Poincar´e duality 412 2.11. A conjugation of the de Rham operator 413 2.12. -
Manifolds, Tangent Vectors and Covectors
Physics 250 Fall 2015 Notes 1 Manifolds, Tangent Vectors and Covectors 1. Introduction Most of the “spaces” used in physical applications are technically differentiable man- ifolds, and this will be true also for most of the spaces we use in the rest of this course. After a while we will drop the qualifier “differentiable” and it will be understood that all manifolds we refer to are differentiable. We will build up the definition in steps. A differentiable manifold is basically a topological manifold that has “coordinate sys- tems” imposed on it. Recall that a topological manifold is a topological space that is Hausdorff and locally homeomorphic to Rn. The number n is the dimension of the mani- fold. On a topological manifold, we can talk about the continuity of functions, for example, of functions such as f : M → R (a “scalar field”), but we cannot talk about the derivatives of such functions. To talk about derivatives, we need coordinates. 2. Charts and Coordinates Generally speaking it is impossible to cover a manifold with a single coordinate system, so we work in “patches,” technically charts. Given a topological manifold M of dimension m, a chart on M is a pair (U, φ), where U ⊂ M is an open set and φ : U → V ⊂ Rm is a homeomorphism. See Fig. 1. Since φ is a homeomorphism, V is also open (in Rm), and φ−1 : V → U exists. If p ∈ U is a point in the domain of φ, then φ(p) = (x1,...,xm) is the set of coordinates of p with respect to the given chart. -
SYMPLECTIC GEOMETRY Lecture Notes, University of Toronto
SYMPLECTIC GEOMETRY Eckhard Meinrenken Lecture Notes, University of Toronto These are lecture notes for two courses, taught at the University of Toronto in Spring 1998 and in Fall 2000. Our main sources have been the books “Symplectic Techniques” by Guillemin-Sternberg and “Introduction to Symplectic Topology” by McDuff-Salamon, and the paper “Stratified symplectic spaces and reduction”, Ann. of Math. 134 (1991) by Sjamaar-Lerman. Contents Chapter 1. Linear symplectic algebra 5 1. Symplectic vector spaces 5 2. Subspaces of a symplectic vector space 6 3. Symplectic bases 7 4. Compatible complex structures 7 5. The group Sp(E) of linear symplectomorphisms 9 6. Polar decomposition of symplectomorphisms 11 7. Maslov indices and the Lagrangian Grassmannian 12 8. The index of a Lagrangian triple 14 9. Linear Reduction 18 Chapter 2. Review of Differential Geometry 21 1. Vector fields 21 2. Differential forms 23 Chapter 3. Foundations of symplectic geometry 27 1. Definition of symplectic manifolds 27 2. Examples 27 3. Basic properties of symplectic manifolds 34 Chapter 4. Normal Form Theorems 43 1. Moser’s trick 43 2. Homotopy operators 44 3. Darboux-Weinstein theorems 45 Chapter 5. Lagrangian fibrations and action-angle variables 49 1. Lagrangian fibrations 49 2. Action-angle coordinates 53 3. Integrable systems 55 4. The spherical pendulum 56 Chapter 6. Symplectic group actions and moment maps 59 1. Background on Lie groups 59 2. Generating vector fields for group actions 60 3. Hamiltonian group actions 61 4. Examples of Hamiltonian G-spaces 63 3 4 CONTENTS 5. Symplectic Reduction 72 6. Normal forms and the Duistermaat-Heckman theorem 78 7. -
Dynamical Systems Theory
Dynamical Systems Theory Bjorn¨ Birnir Center for Complex and Nonlinear Dynamics and Department of Mathematics University of California Santa Barbara1 1 c 2008, Bjorn¨ Birnir. All rights reserved. 2 Contents 1 Introduction 9 1.1 The 3 Body Problem . .9 1.2 Nonlinear Dynamical Systems Theory . 11 1.3 The Nonlinear Pendulum . 11 1.4 The Homoclinic Tangle . 18 2 Existence, Uniqueness and Invariance 25 2.1 The Picard Existence Theorem . 25 2.2 Global Solutions . 35 2.3 Lyapunov Stability . 39 2.4 Absorbing Sets, Omega-Limit Sets and Attractors . 42 3 The Geometry of Flows 51 3.1 Vector Fields and Flows . 51 3.2 The Tangent Space . 58 3.3 Flow Equivalance . 60 4 Invariant Manifolds 65 5 Chaotic Dynamics 75 5.1 Maps and Diffeomorphisms . 75 5.2 Classification of Flows and Maps . 81 5.3 Horseshoe Maps and Symbolic Dynamics . 84 5.4 The Smale-Birkhoff Homoclinic Theorem . 95 5.5 The Melnikov Method . 96 5.6 Transient Dynamics . 99 6 Center Manifolds 103 3 4 CONTENTS 7 Bifurcation Theory 109 7.1 Codimension One Bifurcations . 110 7.1.1 The Saddle-Node Bifurcation . 111 7.1.2 A Transcritical Bifurcation . 113 7.1.3 A Pitchfork Bifurcation . 115 7.2 The Poincare´ Map . 118 7.3 The Period Doubling Bifurcation . 119 7.4 The Hopf Bifurcation . 121 8 The Period Doubling Cascade 123 8.1 The Quadradic Map . 123 8.2 Scaling Behaviour . 130 8.2.1 The Singularly Supported Strange Attractor . 138 A The Homoclinic Orbits of the Pendulum 141 List of Figures 1.1 The rotation of the Sun and Jupiter in a plane around a common center of mass and the motion of a comet perpendicular to the plane. -
STABLE ERGODICITY 1. Introduction a Dynamical System Is Ergodic If It
BULLETIN (New Series) OF THE AMERICAN MATHEMATICAL SOCIETY Volume 41, Number 1, Pages 1{41 S 0273-0979(03)00998-4 Article electronically published on November 4, 2003 STABLE ERGODICITY CHARLES PUGH, MICHAEL SHUB, AND AN APPENDIX BY ALEXANDER STARKOV 1. Introduction A dynamical system is ergodic if it preserves a measure and each measurable invariant set is a zero set or the complement of a zero set. No measurable invariant set has intermediate measure. See also Section 6. The classic real world example of ergodicity is how gas particles mix. At time zero, chambers of oxygen and nitrogen are separated by a wall. When the wall is removed, the gasses mix thoroughly as time tends to infinity. In contrast think of the rotation of a sphere. All points move along latitudes, and ergodicity fails due to existence of invariant equatorial bands. Ergodicity is stable if it persists under perturbation of the dynamical system. In this paper we ask: \How common are ergodicity and stable ergodicity?" and we propose an answer along the lines of the Boltzmann hypothesis { \very." There are two competing forces that govern ergodicity { hyperbolicity and the Kolmogorov-Arnold-Moser (KAM) phenomenon. The former promotes ergodicity and the latter impedes it. One of the striking applications of KAM theory and its more recent variants is the existence of open sets of volume preserving dynamical systems, each of which possesses a positive measure set of invariant tori and hence fails to be ergodic. Stable ergodicity fails dramatically for these systems. But does the lack of ergodicity persist if the system is weakly coupled to another? That is, what happens if you have a KAM system or one of its perturbations that refuses to be ergodic, due to these positive measure sets of invariant tori, but somewhere in the universe there is a hyperbolic or partially hyperbolic system weakly coupled to it? Does the lack of egrodicity persist? The answer is \no," at least under reasonable conditions on the hyperbolic factor. -
1. Overview Over the Basic Notions in Symplectic Geometry Definition 1.1
AN INTRODUCTION TO SYMPLECTIC GEOMETRY MAIK PICKL 1. Overview over the basic notions in symplectic geometry Definition 1.1. Let V be a m-dimensional R vector space and let Ω : V × V ! R be a bilinear map. We say Ω is skew-symmetric if Ω(u; v) = −Ω(v; u), for all u; v 2 V . Theorem 1.1. Let Ω be a skew-symmetric bilinear map on V . Then there is a basis u1; : : : ; uk; e1 : : : ; en; f1; : : : ; fn of V s.t. Ω(ui; v) = 0; 8i and 8v 2 V Ω(ei; ej) = 0 = Ω(fi; fj); 8i; j Ω(ei; fj) = δij; 8i; j: In matrix notation with respect to this basis we have 00 0 0 1 T Ω(u; v) = u @0 0 idA v: 0 −id 0 In particular we have dim(V ) = m = k + 2n. Proof. The proof is a skew-symmetric version of the Gram-Schmidt process. First let U := fu 2 V jΩ(u; v) = 0 for all v 2 V g; and choose a basis u1; : : : ; uk for U. Now choose a complementary space W s.t. V = U ⊕ W . Let e1 2 W , then there is a f1 2 W s.t. Ω(e1; f1) 6= 0 and we can assume that Ω(e1; f1) = 1. Let W1 = span(e1; f1) Ω W1 = fw 2 W jΩ(w; v) = 0 for all v 2 W1g: Ω Ω We claim that W = W1 ⊕ W1 : Suppose that v = ae1 + bf1 2 W1 \ W1 . We get that 0 = Ω(v; e1) = −b 0 = Ω(v; f1) = a and therefore v = 0.