221A Lecture Notes Notes on Classica Mechanics I

Size: px
Start display at page:

Download "221A Lecture Notes Notes on Classica Mechanics I"

Transcription

1 1A Lecture Notes Notes on Classica Mechanics I 1 Precursor: Fermat s Principle in Geometric Optics In geometric optics, you talk about how light rays go. In homogeneous meiums, the light rays go straight. At the interace between ifferent meiums, light rays get reflecte or refracte. Fermat formulate the problem in a very elegant way: the light rays choose their paths to minimize the optical length. The optical length, as you know, is efine by the actual length of the path times the inex of refraction of the meium. Allowing the inex of refraction to vary as a function of the position n( x), the optical length is given by l = n( x)l, (1) where l = (x) + (y) + (z) is the line segment along the path. The Fermat s principle is state mathematically as δl = 0 () along the actual path of a light ray. In a homogeneous meium, the inex of refraction is a constant, an the problem is just to minimize the path length, correctly choosing the straight lines. If there are two meiums attache at z = 0, Fermat s principle tells us that the light ray gets refracte at the interface. Choosing the initial point as (x i, 0, z i ) (z i < 0, the inex of refraction n 1 ) an the final point (x f, 0, z f ) (z f > 0, the inex of refraction n ), the only parameter to be etermine is the value of x at z = 0 where the light ray gets refracte. The optical length is l = n 1 (x x i ) + zi + n (x f x) + zf. (3) Minimizing it with respect to x, 0 = l x = n x x i x f x 1 n (x x i ) + zi (xf x) + zf = n 1 sin θ 1 n sin θ. (4) 1

2 This is nothing but Snell s law of refraction. On the other han, if the light ray is reflecte at the surface, z f < 0 an the optical length is l = n 1 (x x i ) + z i + n 1 (x f x) + z f. (5) Minimizing it with respect to x, 0 = l x = n x x i 1 (x x i ) + zi x f x n 1 (xf x) + zf = n 1 (sin θ 1 sin θ ). (6) Therefore the incient an reflection angles are the same, as we know well. If the inex of refraction epens continuosly on the position, you have to erive a ifferential equation from Fermat s principle an solve it. In orer to o so, you can introuce a parameter along the path s so that the positions on the path are given by functions of s: x(s) = (x(s), y(s), z(s)). Then the optical length is written as an integral over the parameter s as l[ x(s)] = n( x(s)) x s, (7) where the ot refers to the s-erivative ẋ = x/s etc. Now we take the variation of l with respect to the path, an require that the variation vanishes. This will choose the paths of extremal legnth, which can be either minimum or maximum. Fermat s principle actually allows the maximum as well. Plugging in x(s) + δ x(s) in the optical length an keeping only the first orer in δ x, we fin l[ x(s) + δ x(s)] l[ x(s)] = ( δ x n ) δ x x x + n s. (8) x Now we require that this expression vanishes for any variation δ x(s). By integrating the secon term in parts, fin 0 = δ x n x s n x s (9) x for any variation, an hence ( ) n x s n x = 0. (10) x

3 Finally, is useful to note that s is an arbitrary parameter, an we can always choose the parameter such that x = n (or you can choose it to be a constant, too, if you want, but that woul be less convenient). Then the equation simplifies rastically to x = n n, x = n. (11) In other wors, the equation is the same for a particle of unit mass moving in the potential energy V = n ( x)/ as a function of time s with the total energy E = 1 x + V = 1 x 1 n ( x) = 0. With this iea, the Snell s law is explaine because the particle is pulle into the region with higher inex of refraction where it moves faster an moves away quicker from the interface in the perpenicular irection. This is inee the original Newton s Corpuscular Theory of Light; this interpretation of course turne out to be wrong, but the equation we have here is nonetheless the right one for geometric optics. 1 For example, in fiber optics, you set up a potential well that has a minimum at the center of the cable an goes up away from the center. If you approximate the potential well by a quaratic function aroun the minimum V = 1 n ω r, the particle oscillates aroun the center with the frequency ω just as a harmonic oscillator, an oes not go away too far from the center. Bun this case you have to be careful that the time s has nothing to o with the actualy time t. In fact, the paths faster in s are often slower in t. Lagrangian Lagrangian formalism for mechanics uses the action whose minimum (or more precisely, extremum) etermines the equation of motion. Clearly, it was inspire by Fermat s principle for optics, an I frankly on t see any motivations to formulate mechanics this way other than aesthetics. It turns out, however, that the symmetry of the system an change of variables are much clearer with Lagrangian than with Newton s equation of motion F = 1 Is ironical that one of the earliest evience for wave nature of lighs Newton s rings. See an interest account at 01-Courses/current-courses/08sr-newton.htm. 3

4 m a. Moreover, it appears very naturally in the path-integral formulation of quantum mechanics. A Lagrangian epens on the (generalize) coorinates q i (t) an their first time-erivative q i (t). The action is efine by integrating the Lagrangian over time, tf S[q i (t)] = L(q i (t), q i (t))t. (1) The action is sai to be a functional, a function of function. The trajectory q(t) is a function of time, an the action is a function of the trajectory S[q(t)], a functional. The principle of the least action states that the particles follow trajectories that minimize the action. (Again, the trajectory can be extremum, not necessarily a minimum.) By taking the variation of the action with respect to q i, ( tf δs = S[q i + δq i ] S[q i ] = δq i + ) δ q i. (13) q i The latter term is integrate by parts, an ( tf δs = ) δq i + t f δq i. (14) t q i q i Here, we are intereste in variations where the initial an final positions are fixe δq i ( ) = δq i (t f ) = 0. Then the action is minimize if = 0. (15) t q i This is Euler Lagrange equation of motion. For example, the Lagrangian of a point particle in a potential V (q) is The Euler Lagrange equation is then given by L = m q i V (q). (16) = m q i + V = 0. (17) t q i I ve once rea a ebate article if the correct spelling is Lagrangian or Lagrangean. The name of the person is Lagrange, but he is originally from Italy, with the original name Lagrangi. Apparently most people have ecie that Lagrangian is correct. But we talk about Euler Lagrange equation of motion, Lagrange multiplier, etc. Can anyboy explain why to me? 4

5 This is nothing but Newton s equation of motion F = ma with the ientifications F i = V/, a i = q i. Symmetry of the system is much more manifesn Lagrangians than in Newton s equation of motion. For example, the case of the electron in the hyrogen-like atoms is given by V = Ze /r, a spherically symmetric system. In Newton s equation, m a = Ze r r 3, (18) which is covariant uner the rotation. In other wors, there are three equations of motion for x, y, z, an they are mixe with each other uner the rotation. But the Lagrangian is invariant uner the rotation: L = m (ẋ + ẏ + ż ) + Ze r. (19) Alreay at the first sight, is clear that the system is rotationally invariant. Another avantage of using Lagrangian is the ease in changing the variables. For instance, going to the spherical coorinate is straight-forwar for the above example of hyrogen-like atoms, L = m (ṙ + r θ + r sin θ φ ) + Ze r. (0) The Euler Lagrange equations follow very easily, m r + Ze r = 0, (1) m t (r θ) mr sin θ cos θ φ = 0, () m t (r sin θ φ) = 0. (3) You alreay see that there is a conserve quantity, mr sin θ φ, which is nothing but the angular momentum L z. But anyboy who trie to rewrite the Newton s equation of motion in spherical coorinates from than the Cartesian coorinates, m r + Ze r r3 = 0, (4) woul know thas much more teious that way. 5

6 In the path integral formulation of quantum mechanics, the quantum mechanical amplitues are expresse in terms of integral of a phase factor e is[q(t)]/ h for all possible paths q(t). The extremum of the action is nothing but a pass q(t) where the phase factor is stationary. In the limit of h 0, the stationary phase approximation of the integral tells you that the integral is ominate by the stationary phase configuration, which is the Euler Lagrange equation. This way, the classical mechnics is reprouce in the h 0 limit. 3 Hamiltonian The Hamitonian of the sytem is nothing but the total energy, but eserves a special name because of its important role in both classical an quantum mechanics. The first thing you efine in Hamiltonian mechanics is the canonical momentum p i conjugate to the canonical coorinates q i. Then the Legenre transform from the original variables ( q i, q i ) in the Lagrangian to the new variables (p i, q i ) efines the Hamiltonian. This is very similar to what you o in thermoynamics. For instance, the internal energy U is regare as a function of the entropy S an the volume V. The temperature of the sytem is efine by T = U. (5) S V The Legenre transform from the variables (S, V ) to (T, V ) efines the free energy F (T, V ) F (T, V ) = U(S, V ) T S (6) an the inverse Legenre transform efines the entropy as S = F T. (7) V The temperature T an the entropy S are conjugate. What we o now is the same Legenre transform from the variables ( q i, q i ) to (p i, q i ), except that the Hamiltonian has the opposite sign from what you woul naively o. Starting from the Lagrangian L( q i, q i ) that epens on q i an q i, the 6

7 canonical momenta are efine by p i =. (8) q i qi An then you efine the Hamitonian (here comes the opposite sign!) H(p i, q i ) = p i q i L( q i, q i ). (9) The poins that you always eliminate q i using p i. The Hamiltonian is a function of p i an q i only, without any time erivatives of them. The inverse Legenre transform brings q i back: q i = H. (30) p i qi We normally o not write it explicitly that q i are hel fixe in taking erivatives with respect to p i, because is unerstoo that the Hamiltonian is a function of inepenent variables (p i, q i ). The Euler Lagrange equation of motion is then rewritten in the following way. = t q i t p i = 0. (31) The last term / is calculate with q i hel fixe, because it was erive from the variation of the action. It turns out to be the same as H/ where p i are hel fixe. This can be seen as follows: = (p j q j H) qi qi = p j q j q j + p j H H p j qi qi qi p j qi = H. (3) At the last step, we use Eq. (30) to cancel the first an the last terms, an the trivial point that q i = 0 (33) qi 7

8 because q i are hel fixe. Therefore, Eq. (31) becomes Putting Eqs. (30) an (34) together, t p i + H = 0. (34) t p i = H, (35) t q i = H. (36) p i These are calle Hamilton equations of motion. One of the mosmportant properties of Hamilton equations of motion is that they are first orer ifferential equations, while the Euler Lagrange equation of motion is secon orer. This simple point makes the mathematical structure much more tractable. In stuies of chaos, non-linear ynamics an beam ynamics, Hamilton equations of motion are inispensable. Another important property of the Hamiltonian is thas conserve; is nothing but the total energy! The fact that the Hamitonian is conserve H/t = 0 can be checke explicitly using Euler Lagrange equation of motion, H t = t (p i q i L) = ( ) q i L t q i = q i + q i q i q i = 0, (37) t q i q i q i where the first an thir terms cancel because of the Euler Lagrange equation, while the secon an fourth cancel trivially. Note that we use the fact the only time epenence of L comes through the time-epenence of q i an q i, not explicitly / t q, q = 0. Namely, we assume the invariance of the Lagrangian uner time translation. Much more importans the fact that the conservation of the Hamiltonian can also be shown as a consequence of the invariance of the system uner the time translation. Uner the time translation t t + δt, the action changes as S = tf Lt tf +δt +δt Lt = S + L(t f )δt L( )δt. (38) 8

9 an hence δs = L(t f )δt L( )δt. On the other han, it can also be worke out as tf δs = δ Lt tf Comparing above two equations, we fin or = δlt ( tf = q i δt + ) q i δt t q i (( ) tf = q i + ) q i δtt t q i q i = t f q i δt. (39) q i L(t f ) L( ) = t f q i (40) q i (p i q i L)(t f ) = (p i q i L)( ). (41) Therefore, systems invariant uner the time translation lea to the conserve Hamiltonian. A corollary of this statemens that systems nonvariant uner the time translation o not conserve energy. For example, ever-expaning Universe oes not have conserve energy. The energy can ecrease (aiabatic expansion of thermal gas) or can increase (the mysterious negative-pressure Dark Energy foun recently). In quantum mechanics, conserve quantities associate with an invariance of the system actually generate the invariance. I ll make this point clear in later sections. 4 Poisson Bracket Poisson Bracket between two physical quantities A(p i, q i ) an B(p i, q i ) is efine as {A, B} = A B A B. (4) p i p i 9

10 Why o we efine such a thing? Because is useful. First of all, the Hamilton equations of motion Eq. (36) can be written as t p i = {p i, H}, (43) t q i = {q i, H}. (44) In fact, it can easily be shown that the time erivative for any physical quantity can be written as A = {A, H}. (45) t In this sense, the Hamiltonian is sai to generate the time translation, because Poisson brackets with the Hamiltonian pushes the time forwar. In quantum mechanics, this poins much more manifest, because Schröinger equation is nothing but the Hamiltonian pushing the time forwar: i h ψ = H ψ. (46) t To mathematicians, Poisson brackets efine the symplectic structure on the manifol (phase space): a close two-form ω = n i=1 p i q i which gives the phase-space volume element V = ω n. The time evolution of the system is escribe by the Hamiltonian vector t = (ṗ i, q i ) = ( H, H ) = H ω ji, p i p i p i x i x i where x i = (q i, p i ) is the phase space coorinate. Similarly, the total momentum is conserve because of the invariance uner the spatial translation. For example, the total momentum is nothing but P x = i p i,x for one-imensional problems. Then is easy to see that i q i,x A = {A, P x }. (47) Inee, the total momentum generates the overall translation for all positions q i. The connection is also very interesting for angular momenta. Starting with the orbital angular momenta L = q p for a point particle, we can calcualte the Poisson brackets among them. {L x, L y } = {q y p z q z p y, q z p x q x p z } = q y p x + q x p y = L z, (48) {L y, L z } = {q z p x q x p z, q x p y q y p x } = q z p y + q y p z = L x, (49) {L z, L x } = {q x p y q y p x, q y p z q z p y } = q x p z + q z p x = L y. (50) 10

11 This is exactly the same as the commutation relation among the spin operators in quantum mechanics [S x, S y ] = i hs z, [S y, S z ] = i hs x, [S z, S x ] = i hs y. (51) It turns out that the angular momentum is conserve because of the rotational invariance of the system, an the angular momentum generate the rotation. Because rotation aroun x, y, z axes are nonepenent an are relate in a particular way, the Poisson brackets or commutation relation among angular momenta cannot be anything else. Poisson brackets are promote to commutation relations among operators in quantum mechanics. I m truly amaze that the classical mechanis before the awn of quantum mechanics came up with its formulation that so closely resembles the commutation relation among operators! 11

Lecture 2 Lagrangian formulation of classical mechanics Mechanics

Lecture 2 Lagrangian formulation of classical mechanics Mechanics Lecture Lagrangian formulation of classical mechanics 70.00 Mechanics Principle of stationary action MATH-GA To specify a motion uniquely in classical mechanics, it suffices to give, at some time t 0,

More information

G4003 Advanced Mechanics 1. We already saw that if q is a cyclic variable, the associated conjugate momentum is conserved, L = const.

G4003 Advanced Mechanics 1. We already saw that if q is a cyclic variable, the associated conjugate momentum is conserved, L = const. G4003 Avance Mechanics 1 The Noether theorem We alreay saw that if q is a cyclic variable, the associate conjugate momentum is conserve, q = 0 p q = const. (1) This is the simplest incarnation of Noether

More information

Physics 5153 Classical Mechanics. The Virial Theorem and The Poisson Bracket-1

Physics 5153 Classical Mechanics. The Virial Theorem and The Poisson Bracket-1 Physics 5153 Classical Mechanics The Virial Theorem an The Poisson Bracket 1 Introuction In this lecture we will consier two applications of the Hamiltonian. The first, the Virial Theorem, applies to systems

More information

and from it produce the action integral whose variation we set to zero:

and from it produce the action integral whose variation we set to zero: Lagrange Multipliers Monay, 6 September 01 Sometimes it is convenient to use reunant coorinates, an to effect the variation of the action consistent with the constraints via the metho of Lagrange unetermine

More information

Lagrangian and Hamiltonian Dynamics

Lagrangian and Hamiltonian Dynamics Lagrangian an Hamiltonian Dynamics Volker Perlick (Lancaster University) Lecture 1 The Passage from Newtonian to Lagrangian Dynamics (Cockcroft Institute, 22 February 2010) Subjects covere Lecture 2: Discussion

More information

Lagrangian and Hamiltonian Mechanics

Lagrangian and Hamiltonian Mechanics Lagrangian an Hamiltonian Mechanics.G. Simpson, Ph.. epartment of Physical Sciences an Engineering Prince George s Community College ecember 5, 007 Introuction In this course we have been stuying classical

More information

G j dq i + G j. q i. = a jt. and

G j dq i + G j. q i. = a jt. and Lagrange Multipliers Wenesay, 8 September 011 Sometimes it is convenient to use reunant coorinates, an to effect the variation of the action consistent with the constraints via the metho of Lagrange unetermine

More information

1 Heisenberg Representation

1 Heisenberg Representation 1 Heisenberg Representation What we have been ealing with so far is calle the Schröinger representation. In this representation, operators are constants an all the time epenence is carrie by the states.

More information

Lecture XII. where Φ is called the potential function. Let us introduce spherical coordinates defined through the relations

Lecture XII. where Φ is called the potential function. Let us introduce spherical coordinates defined through the relations Lecture XII Abstract We introuce the Laplace equation in spherical coorinates an apply the metho of separation of variables to solve it. This will generate three linear orinary secon orer ifferential equations:

More information

Assignment 1. g i (x 1,..., x n ) dx i = 0. i=1

Assignment 1. g i (x 1,..., x n ) dx i = 0. i=1 Assignment 1 Golstein 1.4 The equations of motion for the rolling isk are special cases of general linear ifferential equations of constraint of the form g i (x 1,..., x n x i = 0. i=1 A constraint conition

More information

The Ehrenfest Theorems

The Ehrenfest Theorems The Ehrenfest Theorems Robert Gilmore Classical Preliminaries A classical system with n egrees of freeom is escribe by n secon orer orinary ifferential equations on the configuration space (n inepenent

More information

Physics 115C Homework 4

Physics 115C Homework 4 Physics 115C Homework 4 Problem 1 a In the Heisenberg picture, the ynamical equation is the Heisenberg equation of motion: for any operator Q H, we have Q H = 1 t i [Q H,H]+ Q H t where the partial erivative

More information

Curves in the configuration space Q or in the velocity phase space Ω satisfying the Euler-Lagrange (EL) equations,

Curves in the configuration space Q or in the velocity phase space Ω satisfying the Euler-Lagrange (EL) equations, Physics 6010, Fall 2010 Hamiltonian Formalism: Hamilton s equations. Conservation laws. Reduction. Poisson Brackets. Relevant Sections in Text: 8.1 8.3, 9.5 The Hamiltonian Formalism We now return to formal

More information

HAMILTON S PRINCIPLE

HAMILTON S PRINCIPLE HAMILTON S PRINCIPLE In our previous derivation of Lagrange s equations we started from the Newtonian vector equations of motion and via D Alembert s Principle changed coordinates to generalised coordinates

More information

Physics 5153 Classical Mechanics. Canonical Transformations-1

Physics 5153 Classical Mechanics. Canonical Transformations-1 1 Introduction Physics 5153 Classical Mechanics Canonical Transformations The choice of generalized coordinates used to describe a physical system is completely arbitrary, but the Lagrangian is invariant

More information

Quantum Mechanics in Three Dimensions

Quantum Mechanics in Three Dimensions Physics 342 Lecture 20 Quantum Mechanics in Three Dimensions Lecture 20 Physics 342 Quantum Mechanics I Monay, March 24th, 2008 We begin our spherical solutions with the simplest possible case zero potential.

More information

The Principle of Least Action and Designing Fiber Optics

The Principle of Least Action and Designing Fiber Optics University of Southampton Department of Physics & Astronomy Year 2 Theory Labs The Principle of Least Action an Designing Fiber Optics 1 Purpose of this Moule We will be intereste in esigning fiber optic

More information

Ψ(x) = c 0 φ 0 (x) + c 1 φ 1 (x) (1) Ĥφ n (x) = E n φ n (x) (2) Ψ = c 0 φ 0 + c 1 φ 1 (7) Ĥ φ n = E n φ n (4)

Ψ(x) = c 0 φ 0 (x) + c 1 φ 1 (x) (1) Ĥφ n (x) = E n φ n (x) (2) Ψ = c 0 φ 0 + c 1 φ 1 (7) Ĥ φ n = E n φ n (4) 1 Problem 1 Ψx = c 0 φ 0 x + c 1 φ 1 x 1 Ĥφ n x = E n φ n x E Ψ is the expectation value of energy of the state 1 taken with respect to the hamiltonian of the system. Thinking in Dirac notation 1 an become

More information

Solving the Schrödinger Equation for the 1 Electron Atom (Hydrogen-Like)

Solving the Schrödinger Equation for the 1 Electron Atom (Hydrogen-Like) Stockton Univeristy Chemistry Program, School of Natural Sciences an Mathematics 101 Vera King Farris Dr, Galloway, NJ CHEM 340: Physical Chemistry II Solving the Schröinger Equation for the 1 Electron

More information

Free rotation of a rigid body 1 D. E. Soper 2 University of Oregon Physics 611, Theoretical Mechanics 5 November 2012

Free rotation of a rigid body 1 D. E. Soper 2 University of Oregon Physics 611, Theoretical Mechanics 5 November 2012 Free rotation of a rigi boy 1 D. E. Soper 2 University of Oregon Physics 611, Theoretical Mechanics 5 November 2012 1 Introuction In this section, we escribe the motion of a rigi boy that is free to rotate

More information

The Principle of Least Action

The Principle of Least Action Chapter 7. The Principle of Least Action 7.1 Force Methos vs. Energy Methos We have so far stuie two istinct ways of analyzing physics problems: force methos, basically consisting of the application of

More information

Electric and Magnetic Forces in Lagrangian and Hamiltonian Formalism

Electric and Magnetic Forces in Lagrangian and Hamiltonian Formalism Electric and Magnetic Forces in Lagrangian and Hamiltonian Formalism Benjamin Hornberger 1/26/1 Phy 55, Classical Electrodynamics, Prof. Goldhaber Lecture notes from Oct. 26, 21 Lecture held by Prof. Weisberger

More information

Lecture 27: Generalized Coordinates and Lagrange s Equations of Motion

Lecture 27: Generalized Coordinates and Lagrange s Equations of Motion Lecture 27: Generalize Coorinates an Lagrange s Equations of Motion Calculating T an V in terms of generalize coorinates. Example: Penulum attache to a movable support 6 Cartesian Coorinates: (X, Y, Z)

More information

Schrödinger s equation.

Schrödinger s equation. Physics 342 Lecture 5 Schröinger s Equation Lecture 5 Physics 342 Quantum Mechanics I Wenesay, February 3r, 2010 Toay we iscuss Schröinger s equation an show that it supports the basic interpretation of

More information

M2A2 Problem Sheet 3 - Hamiltonian Mechanics

M2A2 Problem Sheet 3 - Hamiltonian Mechanics MA Problem Sheet 3 - Hamiltonian Mechanics. The particle in a cone. A particle slides under gravity, inside a smooth circular cone with a vertical axis, z = k x + y. Write down its Lagrangian in a) Cartesian,

More information

1 M3-4-5A16 Assessed Problems # 1: Do 4 out of 5 problems

1 M3-4-5A16 Assessed Problems # 1: Do 4 out of 5 problems D. D. Holm M3-4-5A16 Assesse Problems # 1 Due 1 Nov 2012 1 1 M3-4-5A16 Assesse Problems # 1: Do 4 out of 5 problems Exercise 1.1 (Poisson brackets for the Hopf map) Figure 1: The Hopf map. In coorinates

More information

Separation of Variables

Separation of Variables Physics 342 Lecture 1 Separation of Variables Lecture 1 Physics 342 Quantum Mechanics I Monay, January 25th, 2010 There are three basic mathematical tools we nee, an then we can begin working on the physical

More information

4. Important theorems in quantum mechanics

4. Important theorems in quantum mechanics TFY4215 Kjemisk fysikk og kvantemekanikk - Tillegg 4 1 TILLEGG 4 4. Important theorems in quantum mechanics Before attacking three-imensional potentials in the next chapter, we shall in chapter 4 of this

More information

Implicit Differentiation

Implicit Differentiation Implicit Differentiation Thus far, the functions we have been concerne with have been efine explicitly. A function is efine explicitly if the output is given irectly in terms of the input. For instance,

More information

Partial Differential Equations

Partial Differential Equations Chapter Partial Differential Equations. Introuction Have solve orinary ifferential equations, i.e. ones where there is one inepenent an one epenent variable. Only orinary ifferentiation is therefore involve.

More information

Calculus of Variations

Calculus of Variations Calculus of Variations Lagrangian formalism is the main tool of theoretical classical mechanics. Calculus of Variations is a part of Mathematics which Lagrangian formalism is base on. In this section,

More information

Quantum mechanical approaches to the virial

Quantum mechanical approaches to the virial Quantum mechanical approaches to the virial S.LeBohec Department of Physics an Astronomy, University of Utah, Salt Lae City, UT 84112, USA Date: June 30 th 2015 In this note, we approach the virial from

More information

u t v t v t c a u t b a v t u t v t b a

u t v t v t c a u t b a v t u t v t b a Nonlinear Dynamical Systems In orer to iscuss nonlinear ynamical systems, we must first consier linear ynamical systems. Linear ynamical systems are just systems of linear equations like we have been stuying

More information

The Three-dimensional Schödinger Equation

The Three-dimensional Schödinger Equation The Three-imensional Schöinger Equation R. L. Herman November 7, 016 Schröinger Equation in Spherical Coorinates We seek to solve the Schröinger equation with spherical symmetry using the metho of separation

More information

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x)

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x) Y. D. Chong (2016) MH2801: Complex Methos for the Sciences 1. Derivatives The erivative of a function f(x) is another function, efine in terms of a limiting expression: f (x) f (x) lim x δx 0 f(x + δx)

More information

Physics 256: Lecture Schrodinger Equation. The Effective Wavelength Time Independent Schrodinger Equation

Physics 256: Lecture Schrodinger Equation. The Effective Wavelength Time Independent Schrodinger Equation Physics 56: Lecture Schroinger Equation The Effective Wavelength Time Inepenent Schroinger Equation Examples Clicker Question 0: What is true about a particle in the first energy eigenfunction for the

More information

1 dx. where is a large constant, i.e., 1, (7.6) and Px is of the order of unity. Indeed, if px is given by (7.5), the inequality (7.

1 dx. where is a large constant, i.e., 1, (7.6) and Px is of the order of unity. Indeed, if px is given by (7.5), the inequality (7. Lectures Nine an Ten The WKB Approximation The WKB metho is a powerful tool to obtain solutions for many physical problems It is generally applicable to problems of wave propagation in which the frequency

More information

Euler equations for multiple integrals

Euler equations for multiple integrals Euler equations for multiple integrals January 22, 2013 Contents 1 Reminer of multivariable calculus 2 1.1 Vector ifferentiation......................... 2 1.2 Matrix ifferentiation........................

More information

15 Functional Derivatives

15 Functional Derivatives 15 Functional Derivatives 15.1 Functionals A functional G[f] is a map from a space of functions to a set of numbers. For instance, the action functional S[q] for a particle in one imension maps the coorinate

More information

6 Wave equation in spherical polar coordinates

6 Wave equation in spherical polar coordinates 6 Wave equation in spherical polar coorinates We now look at solving problems involving the Laplacian in spherical polar coorinates. The angular epenence of the solutions will be escribe by spherical harmonics.

More information

Physics 351 Wednesday, February 14, 2018

Physics 351 Wednesday, February 14, 2018 Physics 351 Wednesday, February 14, 2018 HW4 due Friday. For HW help, Bill is in DRL 3N6 Wed 4 7pm. Grace is in DRL 2C2 Thu 5:30 8:30pm. Respond at pollev.com/phys351 or text PHYS351 to 37607 once to join,

More information

Chapter 1. Principles of Motion in Invariantive Mechanics

Chapter 1. Principles of Motion in Invariantive Mechanics Chapter 1 Principles of Motion in Invariantive Mechanics 1.1. The Euler-Lagrange and Hamilton s equations obtained by means of exterior forms Let L = L(q 1,q 2,...,q n, q 1, q 2,..., q n,t) L(q, q,t) (1.1)

More information

for changing independent variables. Most simply for a function f(x) the Legendre transformation f(x) B(s) takes the form B(s) = xs f(x) with s = df

for changing independent variables. Most simply for a function f(x) the Legendre transformation f(x) B(s) takes the form B(s) = xs f(x) with s = df Physics 106a, Caltech 1 November, 2018 Lecture 10: Hamiltonian Mechanics I The Hamiltonian In the Hamiltonian formulation of dynamics each second order ODE given by the Euler- Lagrange equation in terms

More information

A Second Time Dimension, Hidden in Plain Sight

A Second Time Dimension, Hidden in Plain Sight A Secon Time Dimension, Hien in Plain Sight Brett A Collins. In this paper I postulate the existence of a secon time imension, making five imensions, three space imensions an two time imensions. I will

More information

arxiv: v1 [physics.class-ph] 20 Dec 2017

arxiv: v1 [physics.class-ph] 20 Dec 2017 arxiv:1712.07328v1 [physics.class-ph] 20 Dec 2017 Demystifying the constancy of the Ermakov-Lewis invariant for a time epenent oscillator T. Pamanabhan IUCAA, Post Bag 4, Ganeshkhin, Pune - 411 007, Inia.

More information

Vectors in two dimensions

Vectors in two dimensions Vectors in two imensions Until now, we have been working in one imension only The main reason for this is to become familiar with the main physical ieas like Newton s secon law, without the aitional complication

More information

Witten s Proof of Morse Inequalities

Witten s Proof of Morse Inequalities Witten s Proof of Morse Inequalities by Igor Prokhorenkov Let M be a smooth, compact, oriente manifol with imension n. A Morse function is a smooth function f : M R such that all of its critical points

More information

Physical Dynamics (SPA5304) Lecture Plan 2018

Physical Dynamics (SPA5304) Lecture Plan 2018 Physical Dynamics (SPA5304) Lecture Plan 2018 The numbers on the left margin are approximate lecture numbers. Items in gray are not covered this year 1 Advanced Review of Newtonian Mechanics 1.1 One Particle

More information

θ x = f ( x,t) could be written as

θ x = f ( x,t) could be written as 9. Higher orer PDEs as systems of first-orer PDEs. Hyperbolic systems. For PDEs, as for ODEs, we may reuce the orer by efining new epenent variables. For example, in the case of the wave equation, (1)

More information

Calculus of variations - Lecture 11

Calculus of variations - Lecture 11 Calculus of variations - Lecture 11 1 Introuction It is easiest to formulate the problem with a specific example. The classical problem of the brachistochrone (1696 Johann Bernoulli) is the search to fin

More information

Discrete Hamilton Jacobi Theory and Discrete Optimal Control

Discrete Hamilton Jacobi Theory and Discrete Optimal Control 49th IEEE Conference on Decision an Control December 15-17, 2010 Hilton Atlanta Hotel, Atlanta, GA, USA Discrete Hamilton Jacobi Theory an Discrete Optimal Control Tomoi Ohsawa, Anthony M. Bloch, an Melvin

More information

Second quantization: where quantization and particles come from?

Second quantization: where quantization and particles come from? 110 Phys460.nb 7 Second quantization: where quantization and particles come from? 7.1. Lagrangian mechanics and canonical quantization Q: How do we quantize a general system? 7.1.1.Lagrangian Lagrangian

More information

ensembles When working with density operators, we can use this connection to define a generalized Bloch vector: v x Tr x, v y Tr y

ensembles When working with density operators, we can use this connection to define a generalized Bloch vector: v x Tr x, v y Tr y Ph195a lecture notes, 1/3/01 Density operators for spin- 1 ensembles So far in our iscussion of spin- 1 systems, we have restricte our attention to the case of pure states an Hamiltonian evolution. Toay

More information

Physical Dynamics (PHY-304)

Physical Dynamics (PHY-304) Physical Dynamics (PHY-304) Gabriele Travaglini March 31, 2012 1 Review of Newtonian Mechanics 1.1 One particle Lectures 1-2. Frame, velocity, acceleration, number of degrees of freedom, generalised coordinates.

More information

Table of Common Derivatives By David Abraham

Table of Common Derivatives By David Abraham Prouct an Quotient Rules: Table of Common Derivatives By Davi Abraham [ f ( g( ] = [ f ( ] g( + f ( [ g( ] f ( = g( [ f ( ] g( g( f ( [ g( ] Trigonometric Functions: sin( = cos( cos( = sin( tan( = sec

More information

The Exact Form and General Integrating Factors

The Exact Form and General Integrating Factors 7 The Exact Form an General Integrating Factors In the previous chapters, we ve seen how separable an linear ifferential equations can be solve using methos for converting them to forms that can be easily

More information

REVIEW. Hamilton s principle. based on FW-18. Variational statement of mechanics: (for conservative forces) action Equivalent to Newton s laws!

REVIEW. Hamilton s principle. based on FW-18. Variational statement of mechanics: (for conservative forces) action Equivalent to Newton s laws! Hamilton s principle Variational statement of mechanics: (for conservative forces) action Equivalent to Newton s laws! based on FW-18 REVIEW the particle takes the path that minimizes the integrated difference

More information

Examining Geometric Integration for Propagating Orbit Trajectories with Non-Conservative Forcing

Examining Geometric Integration for Propagating Orbit Trajectories with Non-Conservative Forcing Examining Geometric Integration for Propagating Orbit Trajectories with Non-Conservative Forcing Course Project for CDS 05 - Geometric Mechanics John M. Carson III California Institute of Technology June

More information

Physics 235 Chapter 7. Chapter 7 Hamilton's Principle - Lagrangian and Hamiltonian Dynamics

Physics 235 Chapter 7. Chapter 7 Hamilton's Principle - Lagrangian and Hamiltonian Dynamics Chapter 7 Hamilton's Principle - Lagrangian and Hamiltonian Dynamics Many interesting physics systems describe systems of particles on which many forces are acting. Some of these forces are immediately

More information

Calculus of Variations

Calculus of Variations 16.323 Lecture 5 Calculus of Variations Calculus of Variations Most books cover this material well, but Kirk Chapter 4 oes a particularly nice job. x(t) x* x*+ αδx (1) x*- αδx (1) αδx (1) αδx (1) t f t

More information

Canonical transformations (Lecture 4)

Canonical transformations (Lecture 4) Canonical transformations (Lecture 4) January 26, 2016 61/441 Lecture outline We will introduce and discuss canonical transformations that conserve the Hamiltonian structure of equations of motion. Poisson

More information

PHYS 414 Problem Set 2: Turtles all the way down

PHYS 414 Problem Set 2: Turtles all the way down PHYS 414 Problem Set 2: Turtles all the way own This problem set explores the common structure of ynamical theories in statistical physics as you pass from one length an time scale to another. Brownian

More information

Objective: To introduce the equations of motion and describe the forces that act upon the Atmosphere

Objective: To introduce the equations of motion and describe the forces that act upon the Atmosphere Objective: To introuce the equations of motion an escribe the forces that act upon the Atmosphere Reaing: Rea pp 18 6 in Chapter 1 of Houghton & Hakim Problems: Work 1.1, 1.8, an 1.9 on pp. 6 & 7 at the

More information

Kinematics of Rotations: A Summary

Kinematics of Rotations: A Summary A Kinematics of Rotations: A Summary The purpose of this appenix is to outline proofs of some results in the realm of kinematics of rotations that were invoke in the preceing chapters. Further etails are

More information

Pure Further Mathematics 1. Revision Notes

Pure Further Mathematics 1. Revision Notes Pure Further Mathematics Revision Notes June 20 2 FP JUNE 20 SDB Further Pure Complex Numbers... 3 Definitions an arithmetical operations... 3 Complex conjugate... 3 Properties... 3 Complex number plane,

More information

Goldstein Chapter 1 Exercises

Goldstein Chapter 1 Exercises Golstein Chapter 1 Exercises Michael Goo July 17, 2004 1 Exercises 11. Consier a uniform thin isk that rolls without slipping on a horizontal plane. A horizontal force is applie to the center of the isk

More information

Chapter 2 Lagrangian Modeling

Chapter 2 Lagrangian Modeling Chapter 2 Lagrangian Moeling The basic laws of physics are use to moel every system whether it is electrical, mechanical, hyraulic, or any other energy omain. In mechanics, Newton s laws of motion provie

More information

The Principle of Least Action

The Principle of Least Action The Principle of Least Action Anders Svensson Abstract In this paper, the principle of least action in classical mechanics is studied. The term is used in several different contexts, mainly for Hamilton

More information

Sketchy Notes on Lagrangian and Hamiltonian Mechanics

Sketchy Notes on Lagrangian and Hamiltonian Mechanics Sketchy Notes on Lagrangian and Hamiltonian Mechanics Robert Jones Generalized Coordinates Suppose we have some physical system, like a free particle, a pendulum suspended from another pendulum, or a field

More information

The total derivative. Chapter Lagrangian and Eulerian approaches

The total derivative. Chapter Lagrangian and Eulerian approaches Chapter 5 The total erivative 51 Lagrangian an Eulerian approaches The representation of a flui through scalar or vector fiels means that each physical quantity uner consieration is escribe as a function

More information

Math 342 Partial Differential Equations «Viktor Grigoryan

Math 342 Partial Differential Equations «Viktor Grigoryan Math 342 Partial Differential Equations «Viktor Grigoryan 6 Wave equation: solution In this lecture we will solve the wave equation on the entire real line x R. This correspons to a string of infinite

More information

Average value of position for the anharmonic oscillator: Classical versus quantum results

Average value of position for the anharmonic oscillator: Classical versus quantum results verage value of position for the anharmonic oscillator: Classical versus quantum results R. W. Robinett Department of Physics, The Pennsylvania State University, University Park, Pennsylvania 682 Receive

More information

SOLUTIONS for Homework #3

SOLUTIONS for Homework #3 SOLUTIONS for Hoework #3 1. In the potential of given for there is no unboun states. Boun states have positive energies E n labele by an integer n. For each energy level E, two syetrically locate classical

More information

Lecture 4. Alexey Boyarsky. October 6, 2015

Lecture 4. Alexey Boyarsky. October 6, 2015 Lecture 4 Alexey Boyarsky October 6, 2015 1 Conservation laws and symmetries 1.1 Ignorable Coordinates During the motion of a mechanical system, the 2s quantities q i and q i, (i = 1, 2,..., s) which specify

More information

Physics 106a, Caltech 13 November, Lecture 13: Action, Hamilton-Jacobi Theory. Action-Angle Variables

Physics 106a, Caltech 13 November, Lecture 13: Action, Hamilton-Jacobi Theory. Action-Angle Variables Physics 06a, Caltech 3 November, 08 Lecture 3: Action, Hamilton-Jacobi Theory Starred sections are advanced topics for interest and future reference. The unstarred material will not be tested on the final

More information

Lecture XVI: Symmetrical spacetimes

Lecture XVI: Symmetrical spacetimes Lecture XVI: Symmetrical spacetimes Christopher M. Hirata Caltech M/C 350-17, Pasaena CA 91125, USA (Date: January 4, 2012) I. OVERVIEW Our principal concern this term will be symmetrical solutions of

More information

Sturm-Liouville Theory

Sturm-Liouville Theory LECTURE 5 Sturm-Liouville Theory In the three preceing lectures I emonstrate the utility of Fourier series in solving PDE/BVPs. As we ll now see, Fourier series are just the tip of the iceberg of the theory

More information

Some vector algebra and the generalized chain rule Ross Bannister Data Assimilation Research Centre, University of Reading, UK Last updated 10/06/10

Some vector algebra and the generalized chain rule Ross Bannister Data Assimilation Research Centre, University of Reading, UK Last updated 10/06/10 Some vector algebra an the generalize chain rule Ross Bannister Data Assimilation Research Centre University of Reaing UK Last upate 10/06/10 1. Introuction an notation As we shall see in these notes the

More information

6.003 Homework #7 Solutions

6.003 Homework #7 Solutions 6.003 Homework #7 Solutions Problems. Secon-orer systems The impulse response of a secon-orer CT system has the form h(t) = e σt cos(ω t + φ)u(t) where the parameters σ, ω, an φ are relate to the parameters

More information

On the number of isolated eigenvalues of a pair of particles in a quantum wire

On the number of isolated eigenvalues of a pair of particles in a quantum wire On the number of isolate eigenvalues of a pair of particles in a quantum wire arxiv:1812.11804v1 [math-ph] 31 Dec 2018 Joachim Kerner 1 Department of Mathematics an Computer Science FernUniversität in

More information

Conservation Laws. Chapter Conservation of Energy

Conservation Laws. Chapter Conservation of Energy 20 Chapter 3 Conservation Laws In orer to check the physical consistency of the above set of equations governing Maxwell-Lorentz electroynamics [(2.10) an (2.12) or (1.65) an (1.68)], we examine the action

More information

Lagrangian and Hamiltonian Mechanics (Symon Chapter Nine)

Lagrangian and Hamiltonian Mechanics (Symon Chapter Nine) Lagrangian and Hamiltonian Mechanics (Symon Chapter Nine Physics A301 Spring 2005 Contents 1 Lagrangian Mechanics 3 1.1 Derivation of the Lagrange Equations...................... 3 1.1.1 Newton s Second

More information

Physics 105 Lecture Notes: An Introduction to Symmetries and Conservation Laws

Physics 105 Lecture Notes: An Introduction to Symmetries and Conservation Laws c 2011. Reserve for eucational use only. Physics 105 Lecture Notes: An Introuction to Symmetries an Conservation Laws Guest Lecturer: Any Charman 445 Birge Hall Department of Physics, University of California,

More information

1 Hamiltonian formalism

1 Hamiltonian formalism 1 Hamiltonian formalism 1.1 Hamilton s principle of stationary action A dynamical system with a finite number n degrees of freedom can be described by real functions of time q i (t) (i =1, 2,..., n) which,

More information

Hamiltonian. March 30, 2013

Hamiltonian. March 30, 2013 Hamiltonian March 3, 213 Contents 1 Variational problem as a constrained problem 1 1.1 Differential constaint......................... 1 1.2 Canonic form............................. 2 1.3 Hamiltonian..............................

More information

Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors

Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors Math 18.02 Notes on ifferentials, the Chain Rule, graients, irectional erivative, an normal vectors Tangent plane an linear approximation We efine the partial erivatives of f( xy, ) as follows: f f( x+

More information

Classical mechanics of particles and fields

Classical mechanics of particles and fields Classical mechanics of particles and fields D.V. Skryabin Department of Physics, University of Bath PACS numbers: The concise and transparent exposition of many topics covered in this unit can be found

More information

Euler Equations: derivation, basic invariants and formulae

Euler Equations: derivation, basic invariants and formulae Euler Equations: erivation, basic invariants an formulae Mat 529, Lesson 1. 1 Derivation The incompressible Euler equations are couple with t u + u u + p = 0, (1) u = 0. (2) The unknown variable is the

More information

Numerical Integrator. Graphics

Numerical Integrator. Graphics 1 Introuction CS229 Dynamics Hanout The question of the week is how owe write a ynamic simulator for particles, rigi boies, or an articulate character such as a human figure?" In their SIGGRPH course notes,

More information

The first order formalism and the transition to the

The first order formalism and the transition to the Problem 1. Hamiltonian The first order formalism and the transition to the This problem uses the notion of Lagrange multipliers and Legendre transforms to understand the action in the Hamiltonian formalism.

More information

Addition of Angular Momenta

Addition of Angular Momenta Addition of Angular Momenta What we have so far considered to be an exact solution for the many electron problem, should really be called exact non-relativistic solution. A relativistic treatment is needed

More information

LINEAR DIFFERENTIAL EQUATIONS OF ORDER 1. where a(x) and b(x) are functions. Observe that this class of equations includes equations of the form

LINEAR DIFFERENTIAL EQUATIONS OF ORDER 1. where a(x) and b(x) are functions. Observe that this class of equations includes equations of the form LINEAR DIFFERENTIAL EQUATIONS OF ORDER 1 We consier ifferential equations of the form y + a()y = b(), (1) y( 0 ) = y 0, where a() an b() are functions. Observe that this class of equations inclues equations

More information

CONSTRAINTS: notes by BERNARD F. WHITING

CONSTRAINTS: notes by BERNARD F. WHITING CONSTRAINTS: notes by BERNARD F. WHITING Whether for practical reasons or of necessity, we often find ourselves considering dynamical systems which are subject to physical constraints. In such situations

More information

Further Differentiation and Applications

Further Differentiation and Applications Avance Higher Notes (Unit ) Prerequisites: Inverse function property; prouct, quotient an chain rules; inflexion points. Maths Applications: Concavity; ifferentiability. Real-Worl Applications: Particle

More information

Mathematical Review Problems

Mathematical Review Problems Fall 6 Louis Scuiero Mathematical Review Problems I. Polynomial Equations an Graphs (Barrante--Chap. ). First egree equation an graph y f() x mx b where m is the slope of the line an b is the line's intercept

More information

The Particle-Field Hamiltonian

The Particle-Field Hamiltonian The Particle-Field Hamiltonian For a fundamental understanding of the interaction of a particle with the electromagnetic field we need to know the total energy of the system consisting of particle and

More information

Unit #6 - Families of Functions, Taylor Polynomials, l Hopital s Rule

Unit #6 - Families of Functions, Taylor Polynomials, l Hopital s Rule Unit # - Families of Functions, Taylor Polynomials, l Hopital s Rule Some problems an solutions selecte or aapte from Hughes-Hallett Calculus. Critical Points. Consier the function f) = 54 +. b) a) Fin

More information

Use conserved quantities to reduce number of variables and the equation of motion (EOM)

Use conserved quantities to reduce number of variables and the equation of motion (EOM) Physics 106a, Caltech 5 October, 018 Lecture 8: Central Forces Bound States Today we discuss the Kepler problem of the orbital motion of planets and other objects in the gravitational field of the sun.

More information

CHAPTER 1 : DIFFERENTIABLE MANIFOLDS. 1.1 The definition of a differentiable manifold

CHAPTER 1 : DIFFERENTIABLE MANIFOLDS. 1.1 The definition of a differentiable manifold CHAPTER 1 : DIFFERENTIABLE MANIFOLDS 1.1 The efinition of a ifferentiable manifol Let M be a topological space. This means that we have a family Ω of open sets efine on M. These satisfy (1), M Ω (2) the

More information

Convergence of Random Walks

Convergence of Random Walks Chapter 16 Convergence of Ranom Walks This lecture examines the convergence of ranom walks to the Wiener process. This is very important both physically an statistically, an illustrates the utility of

More information