Physics 5153 Classical Mechanics the Hamiltonian
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Relativistic Dynamics
Chapter 4 Relativistic dynamics We have seen in the previous lectures that our relativity postulates suggest that the most efficient (lazy but smart) approach to relativistic physics is in terms of 4-vectors, and that velocities never exceed c in magnitude. In this chapter we will see how this 4-vector approach works for dynamics, i.e., for the interplay between motion and forces. A particle subject to forces will undergo non-inertial motion. According to Newton, there is a simple (3-vector) relation between force and acceleration, f~ = m~a; (4.0.1) where acceleration is the second time derivative of position, d~v d2~x ~a = = : (4.0.2) dt dt2 There is just one problem with these relations | they are wrong! Newtonian dynamics is a good approximation when velocities are very small compared to c, but outside of this regime the relation (4.0.1) is simply incorrect. In particular, these relations are inconsistent with our relativity postu- lates. To see this, it is sufficient to note that Newton's equations (4.0.1) and (4.0.2) predict that a particle subject to a constant force (and initially at rest) will acquire a velocity which can become arbitrarily large, Z t ~ d~v 0 f ~v(t) = 0 dt = t ! 1 as t ! 1 . (4.0.3) 0 dt m This flatly contradicts the prediction of special relativity (and causality) that no signal can propagate faster than c. Our task is to understand how to formulate the dynamics of non-inertial particles in a manner which is consistent with our relativity postulates (and then verify that it matches observation, including in the non-relativistic regime). -
OCC D 5 Gen5d Eee 1305 1A E
this cover and their final version of the extended essay to is are not is chose to write about applications of differential calculus because she found a great interest in it during her IB Math class. She wishes she had time to complete a deeper analysis of her topic; however, her busy schedule made it difficult so she is somewhat disappointed with the outcome of her essay. It was a pleasure meeting with when she was able to and her understanding of her topic was evident during our viva voce. I, too, wish she had more time to complete a more thorough investigation. Overall, however, I believe she did well and am satisfied with her essay. must not use Examiner 1 Examiner 2 Examiner 3 A research 2 2 D B introduction 2 2 c 4 4 D 4 4 E reasoned 4 4 D F and evaluation 4 4 G use of 4 4 D H conclusion 2 2 formal 4 4 abstract 2 2 holistic 4 4 Mathematics Extended Essay An Investigation of the Various Practical Uses of Differential Calculus in Geometry, Biology, Economics, and Physics Candidate Number: 2031 Words 1 Abstract Calculus is a field of math dedicated to analyzing and interpreting behavioral changes in terms of a dependent variable in respect to changes in an independent variable. The versatility of differential calculus and the derivative function is discussed and highlighted in regards to its applications to various other fields such as geometry, biology, economics, and physics. First, a background on derivatives is provided in regards to their origin and evolution, especially as apparent in the transformation of their notations so as to include various individuals and ways of denoting derivative properties. -
Time-Derivative Models of Pavlovian Reinforcement Richard S
Approximately as appeared in: Learning and Computational Neuroscience: Foundations of Adaptive Networks, M. Gabriel and J. Moore, Eds., pp. 497–537. MIT Press, 1990. Chapter 12 Time-Derivative Models of Pavlovian Reinforcement Richard S. Sutton Andrew G. Barto This chapter presents a model of classical conditioning called the temporal- difference (TD) model. The TD model was originally developed as a neuron- like unit for use in adaptive networks (Sutton and Barto 1987; Sutton 1984; Barto, Sutton and Anderson 1983). In this paper, however, we analyze it from the point of view of animal learning theory. Our intended audience is both animal learning researchers interested in computational theories of behavior and machine learning researchers interested in how their learning algorithms relate to, and may be constrained by, animal learning studies. For an exposition of the TD model from an engineering point of view, see Chapter 13 of this volume. We focus on what we see as the primary theoretical contribution to animal learning theory of the TD and related models: the hypothesis that reinforcement in classical conditioning is the time derivative of a compos- ite association combining innate (US) and acquired (CS) associations. We call models based on some variant of this hypothesis time-derivative mod- els, examples of which are the models by Klopf (1988), Sutton and Barto (1981a), Moore et al (1986), Hawkins and Kandel (1984), Gelperin, Hop- field and Tank (1985), Tesauro (1987), and Kosko (1986); we examine several of these models in relation to the TD model. We also briefly ex- plore relationships with animal learning theories of reinforcement, including Mowrer’s drive-induction theory (Mowrer 1960) and the Rescorla-Wagner model (Rescorla and Wagner 1972). -
Branched Hamiltonians and Supersymmetry
Branched Hamiltonians and Supersymmetry Thomas Curtright, University of Miami Wigner 111 seminar, 12 November 2013 Some examples of branched Hamiltonians are explored, as recently advo- cated by Shapere and Wilczek. These are actually cases of switchback poten- tials, albeit in momentum space, as previously analyzed for quasi-Hamiltonian dynamical systems in a classical context. A basic model, with a pair of Hamiltonian branches related by supersymmetry, is considered as an inter- esting illustration, and as stimulation. “It is quite possible ... we may discover that in nature the relation of past and future is so intimate ... that no simple representation of a present may exist.” – R P Feynman Based on work with Cosmas Zachos, Argonne National Laboratory Introduction to the problem In quantum mechanics H = p2 + V (x) (1) is neither more nor less difficult than H = x2 + V (p) (2) by reason of x, p duality, i.e. the Fourier transform: ψ (x) φ (p) ⎫ ⎧ x ⎪ ⎪ +i∂/∂p ⎪ ⇐⇒ ⎪ ⎬⎪ ⎨⎪ i∂/∂x p − ⎪ ⎪ ⎪ ⎪ ⎭⎪ ⎩⎪ This equivalence of (1) and (2) is manifest in the QMPS formalism, as initiated by Wigner (1932), 1 2ipy/ f (x, p)= dy x + y ρ x y e− π | | − 1 = dk p + k ρ p k e2ixk/ π | | − where x and p are on an equal footing, and where even more general H (x, p) can be considered. See CZ to follow, and other talks at this conference. Or even better, in addition to the excellent books cited at the conclusion of Professor Schleich’s talk yesterday morning, please see our new book on the subject ... Even in classical Hamiltonian mechanics, (1) and (2) are equivalent under a classical canonical transformation on phase space: (x, p) (p, x) ⇐⇒ − But upon transitioning to Lagrangian mechanics, the equivalence between the two theories becomes obscure. -
Lie Time Derivative £V(F) of a Spatial Field F
Lie time derivative $v(f) of a spatial field f • A way to obtain an objective rate of a spatial tensor field • Can be used to derive objective Constitutive Equations on rate form D −1 Definition: $v(f) = χ? Dt (χ? (f)) Procedure in 3 steps: 1. Pull-back of the spatial tensor field,f, to the Reference configuration to obtain the corresponding material tensor field, F. 2. Take the material time derivative on the corresponding material tensor field, F, to obtain F_ . _ 3. Push-forward of F to the Current configuration to obtain $v(f). D −1 Important!|Note that the material time derivative, i.e. Dt (χ? (f)) is executed in the Reference configuration (rotation neutralized). Recall that D D χ−1 (f) = (F) = F_ = D F Dt ?(2) Dt v d D F = F(X + v) v d and hence, $v(f) = χ? (DvF) Thus, the Lie time derivative of a spatial tensor field is the push-forward of the directional derivative of the corresponding material tensor field in the direction of v (velocity vector). More comments on the Lie time derivative $v() • Rate constitutive equations must be formulated based on objective rates of stresses and strains to ensure material frame-indifference. • Rates of material tensor fields are by definition objective, since they are associated with a frame in a fixed linear space. • A spatial tensor field is said to transform objectively under superposed rigid body motions if it transforms according to standard rules of tensor analysis, e.g. A+ = QAQT (preserves distances under rigid body rotations). -
BRST APPROACH to HAMILTONIAN SYSTEMS Our Starting Point Is the Partition Function
BRST APPROACH TO HAMILTONIAN SYSTEMS A.K.Aringazin1, V.V.Arkhipov2, and A.S.Kudusov3 Department of Theoretical Physics Karaganda State University Karaganda 470074 Kazakstan Preprint KSU-DTP-10/96 Abstract BRST formulation of cohomological Hamiltonian mechanics is presented. In the path integral approach, we use the BRST gauge fixing procedure for the partition func- tion with trivial underlying Lagrangian to fix symplectic diffeomorphism invariance. Resulting Lagrangian is BRST and anti-BRST exact and the Liouvillian of classical mechanics is reproduced in the ghost-free sector. The theory can be thought of as a topological phase of Hamiltonian mechanics and is considered as one-dimensional cohomological field theory with the target space a symplectic manifold. Twisted (anti- )BRST symmetry is related to global N = 2 supersymmetry, which is identified with an exterior algebra. Landau-Ginzburg formulation of the associated d = 1, N = 2 model is presented and Slavnov identity is analyzed. We study deformations and per- turbations of the theory. Physical states of the theory and correlation functions of the BRST invariant observables are studied. This approach provides a powerful tool to investigate the properties of Hamiltonian systems. PACS number(s): 02.40.+m, 03.40.-t,03.65.Db, 11.10.Ef, 11.30.Pb. arXiv:hep-th/9811026v1 2 Nov 1998 [email protected] [email protected] [email protected] 1 1 INTRODUCTION Recently, path integral approach to classical mechanics has been developed by Gozzi, Reuter and Thacker in a series of papers[1]-[10]. They used a delta function constraint on phase space variables to satisfy Hamilton’s equation and a sort of Faddeev-Popov representation. -
Antibrackets and Supersymmetric Mechanics
Preprint JINR E2-93-225 Antibrackets and Supersymmetric Mechanics Armen Nersessian 1 Laboratory of Theoretical Physics, JINR Dubna, Head Post Office, P.O.Box 79, 101 000 Moscow, Russia Abstract Using odd symplectic structure constructed over tangent bundle of the symplec- tic manifold, we construct the simple supergeneralization of an arbitrary Hamilto- arXiv:hep-th/9306111v2 29 Jul 1993 nian mechanics on it. In the case, if the initial mechanics defines Killing vector of some Riemannian metric, corresponding supersymmetric mechanics can be refor- mulated in the terms of even symplectic structure on the supermanifold. 1E-MAIL:[email protected] 1 Introduction It is well-known that on supermanifolds M the Poisson brackets of two types can be defined – even and odd ones, in correspondence with their Grassmannian grading 1. That is defined by the expression ∂ f ∂ g {f,g} = r ΩAB(z) l , (1.1) κ ∂zA κ ∂zB which satisfies the conditions p({f,g}κ)= p(f)+ p(g) + 1 (grading condition), (p(f)+κ)(p(g)+κ) {f,g}κ = −(−1) {g, f}κ (”antisymmetrisity”), (1.2) (p(f)+κ)(p(h)+κ) (−1) {f, {g, h}1}1 + cycl.perm.(f, g, h) = 0 (Jacobi id.), (1.3) l A ∂r ∂ where z are the local coordinates on M, ∂zA and ∂zA denote correspondingly the right and the left derivatives, κ = 0, 1 denote correspondingly the even and the odd Poisson brackets. Obviously, the even Poisson brackets can be nondegenerate only if dimM = (2N.M), and the odd one if dimM =(N.N). With nondegenerate Poisson bracket one can associate the symplectic structure A B Ωκ = dz Ω(κ)ABdz , (1.4) BC C where Ω(κ)AB Ωκ = δA . -
Analytical Mechanics
A Guided Tour of Analytical Mechanics with animations in MAPLE Rouben Rostamian Department of Mathematics and Statistics UMBC [email protected] December 2, 2018 ii Contents Preface vii 1 An introduction through examples 1 1.1 ThesimplependulumàlaNewton ...................... 1 1.2 ThesimplependulumàlaEuler ....................... 3 1.3 ThesimplependulumàlaLagrange.. .. .. ... .. .. ... .. .. .. 3 1.4 Thedoublependulum .............................. 4 Exercises .......................................... .. 6 2 Work and potential energy 9 Exercises .......................................... .. 12 3 A single particle in a conservative force field 13 3.1 The principle of conservation of energy . ..... 13 3.2 Thescalarcase ................................... 14 3.3 Stability....................................... 16 3.4 Thephaseportraitofasimplependulum . ... 16 Exercises .......................................... .. 17 4 TheKapitsa pendulum 19 4.1 Theinvertedpendulum ............................. 19 4.2 Averaging out the fast oscillations . ...... 19 4.3 Stabilityanalysis ............................... ... 22 Exercises .......................................... .. 23 5 Lagrangian mechanics 25 5.1 Newtonianmechanics .............................. 25 5.2 Holonomicconstraints............................ .. 26 5.3 Generalizedcoordinates .......................... ... 29 5.4 Virtual displacements, virtual work, and generalized force....... 30 5.5 External versus reaction forces . ..... 32 5.6 The equations of motion for a holonomic system . ... -
Classical Hamiltonian Field Theory
Classical Hamiltonian Field Theory Alex Nelson∗ Email: [email protected] August 26, 2009 Abstract This is a set of notes introducing Hamiltonian field theory, with focus on the scalar field. Contents 1 Lagrangian Field Theory1 2 Hamiltonian Field Theory2 1 Lagrangian Field Theory As with Hamiltonian mechanics, wherein one begins by taking the Legendre transform of the Lagrangian, in Hamiltonian field theory we \transform" the Lagrangian field treatment. So lets review the calculations in Lagrangian field theory. Consider the classical fields φa(t; x¯). We use the index a to indicate which field we are talking about. We should think of x¯ as another index, except it is continuous. We will use the confusing short hand notation φ for the column vector φ1; : : : ; φn. Consider the Lagrangian Z 3 L(φ) = L(φ, @µφ)d x¯ (1.1) all space where L is the Lagrangian density. Hamilton's principle of stationary action is still used to determine the equations of motion from the action Z S[φ] = L(φ, @µφ)dt (1.2) where we find the Euler-Lagrange equations of motion for the field d @L @L µ a = a (1.3) dx @(@µφ ) @φ where we note these are evil second order partial differential equations. We also note that we are using Einstein summation convention, so there is an implicit sum over µ but not over a. So that means there are n independent second order partial differential equations we need to solve. But how do we really know these are the correct equations? How do we really know these are the Euler-Lagrange equations for classical fields? We can obtain it directly from the action S by functional differentiation with respect to the field. -
Solutions to Assignments 05
Solutions to Assignments 05 1. It is useful to first recall how this works in the case of classical mechanics (i.e. a 0+1 dimensional “field theory”). Consider a Lagrangian L(q; q_; t) that is a total time-derivative, i.e. d @F @F L(q; q_; t) = F (q; t) = + q_(t) : (1) dt @t @q(t) Then one has @L @2F @2F = + q_(t) (2) @q(t) @q(t)@t @q(t)2 and @L @F d @L @2F @2F = ) = + q_(t) (3) @q_(t) @q(t) dt @q_(t) @t@q(t) @q(t)2 Therefore one has @L d @L = identically (4) @q(t) dt @q_(t) Now we consider the field theory case. We define d @W α @W α @φ(x) L := W α(φ; x) = + dxα @xα @φ(x) @xα α α = @αW + @φW @αφ (5) to compute the Euler-Lagrange equations for it. One gets @L = @ @ W α + @2W α@ φ (6) @φ φ α φ α d @L d α β β = β @φW δα dx @(@βφ) dx β 2 β = @β@φW + @φW @βφ : (7) Thus (since partial derivatives commute) the Euler-Lagrange equations are satis- fied identically. Remark: One can also show the converse: if a Lagrangian L gives rise to Euler- Lagrange equations that are identically satisfied then (locally) the Lagrangian is a total derivative. The proof is simple. Assume that L(q; q_; t) satisfies @L d @L ≡ (8) @q dt @q_ identically. The left-hand side does evidently not depend on the acceleration q¨. -
Analytical Mechanics: Lagrangian and Hamiltonian Formalism
MATH-F-204 Analytical mechanics: Lagrangian and Hamiltonian formalism Glenn Barnich Physique Théorique et Mathématique Université libre de Bruxelles and International Solvay Institutes Campus Plaine C.P. 231, B-1050 Bruxelles, Belgique Bureau 2.O6. 217, E-mail: [email protected], Tel: 02 650 58 01. The aim of the course is an introduction to Lagrangian and Hamiltonian mechanics. The fundamental equations as well as standard applications of Newtonian mechanics are derived from variational principles. From a mathematical perspective, the course and exercises (i) constitute an application of differential and integral calculus (primitives, inverse and implicit function theorem, graphs and functions); (ii) provide examples and explicit solutions of first and second order systems of differential equations; (iii) give an implicit introduction to differential manifolds and to realiza- tions of Lie groups and algebras (change of coordinates, parametrization of a rotation, Galilean group, canonical transformations, one-parameter subgroups, infinitesimal transformations). From a physical viewpoint, a good grasp of the material of the course is indispensable for a thorough understanding of the structure of quantum mechanics, both in its operatorial and path integral formulations. Furthermore, the discussion of Noether’s theorem and Galilean invariance is done in a way that allows for a direct generalization to field theories with Poincaré or conformal invariance. 2 Contents 1 Extremisation, constraints and Lagrange multipliers 5 1.1 Unconstrained extremisation . .5 1.2 Constraints and regularity conditions . .5 1.3 Constrained extremisation . .7 2 Constrained systems and d’Alembert principle 9 2.1 Holonomic constraints . .9 2.2 d’Alembert’s theorem . 10 2.3 Non-holonomic constraints . -
Lagrange As a Historian of Mechanics
Advances in Historical Studies 2013. Vol.2, No.3, 126-130 Published Online September 2013 in SciRes (http://www.scirp.org/journal/ahs) http://dx.doi.org/10.4236/ahs.2013.23016 Lagrange as a Historian of Mechanics Agamenon R. E. Oliveira Polytechnic School of Rio de Janeiro, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil Email: [email protected] Received August 5th, 2013; revised September 6th, 2013; accepted September 15th, 2013 Copyright © 2013 Agamenon R. E. Oliveira. This is an open access article distributed under the Creative Com- mons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, pro- vided the original work is properly cited. In the first and second parts of his masterpiece, Analytical Mechanics, dedicated to static and dynamics respectively, Lagrange (1736-1813) describes in detail the development of both branches of mechanics from a historical point of view. In this paper this important contribution of Lagrange (Lagrange, 1989) to the history of mechanics is presented and discussed in tribute to the bicentennial year of his death. Keywords: History of Mechanics; Epistemology of Physics; Analytical Mechanics Introduction in the same meaning that is now understood by modern physi- cists. The logical unity of this theory is based on the least action Lagrange was one of the founders of variational calculus, in principle. However, the two dimensions of formalization and which the Euler-Lagrange equations were derived by him. He unification are the main characteristics of Lagrange’s method. also developed the method of Lagrange multipliers which is a manner of finding local maxima and minima of a function sub- jected to constraints.