Quantum mechanical approaches to the virial

Size: px
Start display at page:

Download "Quantum mechanical approaches to the virial"

Transcription

1 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 a stanar quantum mechanics point of view. Section 1 reviews the classical virial theorem. Section 2 reviews the Ehrenfest theorem as we will use it in the quantuscussion. Then the virial is consiere quantum mechanically in two ifferent ways. In section 3, the expectation values of the position an momentum observables consiere inepenently are use to construct a classical virial for which we erive the virial theorem an thereby establish a property of wave function. In section 4, we efine a quantum virial observable an establish the quantum virial theorem. Section 5 is a brief iscussion an conclusion highlighting the fact the quantum virial theores in irect corresponence with the classical virial theorem while the classical virial consiere from a quantum mechanical approach merely correspons to an integral property of the wave functions. I. VIRIAL THEOREM IN CLASSICAL MECHANICS The virial is a quantity that arises from consiering the time erivative of the moment of inertia I about the origin for a system of particles. Tae a system of N particles, each with a mass, position r i an momentum p i with i running from 1 to N. Then I = N r i 2 an where G = N r i p i efines the virial. I N t = 2 r i r N i t = 2 r i p i = 2G =1 We can then loo at the time erivative of the virial: G t = N r i t p i + N r i p N i t = 2T + r i F i where we introuce T the inetic energy of the entire system an the force F i acting on the i th particle. The virial theorem erives from consiering the time average of the time erivative of the virial. We enote the average over a time perio τ as τ. N In a reference frame where the the systes globally at rest, p i = 0, a finite an stable boun system woul be such that r i an p i are boun, so, in the limit of infinite times, the time average G t N 2T = r i F i = 0. Consequently, which express the virial theorem [5] in its general form. We may then consier each particle to only be uner the influence of a superposition of pairwise interactions with every other particle. The force exerte by all the particles of the system on the i th particle is F i = F ij is the force exerte by particle j on particle i. With this, we can write j<i where we use [6] the fact that F ij = F ji. j>i N j=1;j i 1 F ij where N r i F i = r i F ij + r i F ij = r i r j F ij 2 j<i

2 We now further restrict ourselves to the cases in which the force between any two particles erives from a central potential V r : Using this in the above result, we obtain: 2T = j<i r ij V r r ij. F ij = i V r i r j = V r N r i F i = N j<i r i r j r i r j = V r i r j r r ij V r ij r. So we have, for the virial theorem, the form: Furthermore, if the interaction potential energy is proportional to a power law of the istance V r = V 0 r ν, then, introucing the total potential energy of the system V T ot = N V r ij, the virial theorem taes its most usual form: j<i 2T = νv T ot 3 This can be applie with ν = 1 in the case in the case of a Keplerian potential or with ν = 2 in the case of a networ of harmonic oscillators. 2 II. THE EHRENFEST THEOREM The virial theorescusse in the previous section concerns time averaging in the limit of infinite times. In the quantuscussion of the properties of the virial, this nee to be combine with the statistical nature of the outcome of measurements in quantum mechanics. As a consequence, we are going to concentrate on the time evolution of expectation values. Consiering an observable A, the expectation value of this observable is enote A = φt A φt when the consiere systes in the quantum state φt. The Ehrenfest theorem provies an expression for the time erivative of expectation values. In orer to establish this expression, we can procee irectly from the efinition of A : t A = t φt A φt + φt A t φt + φt A t φt We assume A inclues an explicit time epenence. If the time evolution of the state of the systes governe by the Schröinger equation with a Hamiltonian H, then, i t φ = H φ an, since H is hermitian, i t φ = φ H. So we obtain the expression of the Ehrenfest theorem: t A = 1 φt AH HA φt + φt A i t φt or, using the usual notations for the commutator an the expectation value, t A = 1 [A, H] + A i t Particularly interesting applications of the Ehrenfest theorem appear when consiering position A = R an momentum A = P operators. Consier a particle of mass m whose evolution is governe by a Hamiltonian H = P 2 /2m + V where V is the potential energy. In orer to apply the Ehrenfest theorem, we nee to express the commutator [R, H] an [P, H]. This can be one using [R, P ] = i : [R, H] = 1 2m [R, P 2 ] = 1 RP 2 P 2 R 2m = 1 2m i + P R P P RP i = i P m We also nee to express [P, H] = [P, V ], which can be one in position representation with P = i R = i : [P, H] = [P, V ] = i V V = i V + V V = i V

3 Since R an P o not have any explicit time epenence, the Ehrenfest theorem then irectly gives the two following relations for the i th particle of the quantum analog of the classical system consiere in our iscussion of the virial theoren section I: t R i = P i m 4 t P i = i V T ot = F i 5 These are Hamilton s equations in which we re-introuce F i, the force acting on particle i. The time erivative of the expecte values of the positions are equal to the expectation values of momenta ivie by the mass. The time erivatives of the expectation values momenta are equal to the expectation values of the forces. This is an important result as it provies a brige between the quantum an classical regimes. It establishes that the time evolution of expectation values in Born s probabilistic interpretation of quantum mechanics matches the prescriptions of classical mechanics. 3 III. CLASSICAL VIRIAL THEOREM IN THE QUANTUM REGIME The state of a system of N istinguishable particles can be escribe by the irect prouct of the wave functions of its iniviual constituents. We can then classically efine the virial as G C = N P i R i with R i an P i the position an momentum operators for particle i. This virial can be regare as classical since, following the Ehrenfest theorem, R i an P i in the quantum system will evolve with time in exactly the same way as r i an p i in the classical system for which we have establishe the virial theoren Section I. In particular, we alreay now that the classical virial theorem Equation 1 irectly applies: N N = R i F i = R i R j F ij m i j<i If the force F ij erives from a central potential of the form V 0 R i R j ν, this gives. N R i R j R i R j ν 2 R i R j j<i But still, let us follow the erivation as an exercise. Noting the components {x, y, z} of the position an momentum of the i th particle as Ri an P i respectively, we can tae the time erivative of G C : t G C = We can then apply the Ehrenfest theorem: t G C = 1 i t P i Ri + Pi t R i [P i, H] Ri + Pi [Ri, H] An, using the expressions we foun for the commutators [R, H] an [P, H] in Section II 6 G C t = Ri V N T ot + Where we mae use of the total potential energy operator, V T ot = V R l R j = 1 2 l=1 j<l V R l R j l=1 j l

4 an in the case of the power law central potential: V T ot R i R i R j ν 2 Ri Rj j i Time averaging for a boun systen the reference frame where it is at rest G C t = 0, we obtain N Ri m R i R j ν 2 Ri R j i j i Using the same manipulation as in Section I see Equation 2, we fin this is equivalent to Equation 8 an we have complete a quantum mechanical erivation of the classical virial theorem. N R i R j R i R j m ν 2 R i R j 8 i j<i It shoul be note that the lefthan sie is not the time average expectation value of the inetic energy. It is the time average inetic energy for the expectation value of the momenta. In the same way, the right han sie can not be written simply in terms of the total potential energy so the classical virial theorem can not be expresse quantum-mechanically in a form similar to Equation 3. In this equation, it shoul be highlighte that the expectation values are to be unerstoo as calculate for the many particle quantum state φt of the systen the course of its evolution following Schröinger s equation. This quantum form of the classical virial theorem therefore stans as a non-trivial property of the solution of the Schröinger equation. 4 7 IV. QUANTUM VIRIAL THEOREM We coul also consier the expectation value of the quantum virial G Q = N Pi R i. This is the usual approach to the virial theoren quantum mechanics as originally investigate by Vlaimir Foc [3] in Alternatively, we coul consier G Q = N Ri P i. However, as long as we are intereste only in the time erivative of the expectation value of G Q or G Q, this maes no ifference. Inee: G Q t = t Pi Ri = t R i Pi i = G Q t Since there are no explicit time epenences, the Ehrenfest theorem gives: G Q t = 1 i [Pi R i, H] Consiering the same Hamiltonian as in the previous section, we see that we nee to calculate [G Q, P 2 ] [Pi Ri, Pi 2 ] = P i Ri Pi 2 P 3 i R i = Pi Ri Pi 2 P 2 i R i = 2i Pi an [G Q, V ] can be obtaine in position representation: [Pi Ri, V T ot ] = i Ri V T ot V T ot Ri = V V T ot + Ri i + Ri V T ot V T ot V T ot Ri = V i R i R i 2 R i

5 5 so [P i R i, H] = i P i 2 i R i V T ot R i with this: G Q t = Pi 2 R i V T ot Here we recognize the first term as twice the expectation value of the systenetic energy T = N same time, consiering the time average over an infinite perio, a boun systen its rest frame satisfies N so that 2T = or or or R i V T ot R i In cases where the potential energy is a power law of inex ν: 2T = ν or, finally,. j i 2T = ν j i R i V R i R j R i R j V R i R j R i R j Ri R j R i R j R i 2 R i R j R i R j 2T = ν V R i R j R i 2 2R i R j + R j 2 R i R j R i R j j<i 2T = ν V R i R j j<i 2 T = ν V T ot P 2 i 2 GQ t. At the = 0 an we recover the virial theoren the exact same formulation as in classical mechanics except for the fact that the inetic an potential energies have to be replace by their expectation values. V. SUMMARY AND CONCLUSIONS We have efine the virial for a quantum systen two ifferent ways. In Section III, we consiere a classical virial, G C = N P i R i. Since P i an R i have the same equation of motion as the corresponing quantities in the classical system, we coul apply the classical virial theorerectly to the quantum form replacing r i, p i an F i by their expectation values. We were then able to erive the same relation quantum-mechanically: N R i R j R i R j ν 2 R i R j j<i

6 The classical virial theorem can be seen as an integral property of the solutions of the Schröingier equation. In Section IV, we consiere the more usual quantum virial, G Q = N P i R i. We obtaine a virial theorem with exactly the same form as in classical mechanics provie the inetic an potential energies are replace by their quantum mechanical expectation values: 2 T = ν V T ot This suggests that the operation of taing the expectation value can be regare as a continuation of the time averaging τ to reveal the contribution of a ynamics internal to the wave function. In fact, when consiering the system to be in a stationary state, the time averaging becomes superfluous an we obtain a relation between expectation values 2 T = ν V T ot which, when regare as the time averaging of an internal ynamics, is ientical to the classical form of the virial theorem: 2T = νv T ot. At the same time an in complementarity, the virial theorem for G C becomes egenerate since there are no ynamics other than those internal to the wave function, leaing to P i = 0. This consieration of the virial theoren quantum mechanics certainly oes not provie any proof for the necessity of an explicit continuation between the classical ynamic ominating at scales larger than the e Broglie wavelength an a particulate ynamic internal to the wave function. However, the fact that the classical Section I an quantum Section IV virial theorems are ientical in form, follows well from Nelson s stochastic quantization [2] an more recently from Nottale s scale relativity [4]. From these point of views, the wave function property reveale by the quantum consieration of the classical virial in Section III can be seen as a superfluous matching constraint appearing because of the artificial iscrimination between the ynamics at classical an quantum scales, with the wave function merely playing the role of a wrapper of the latter. 6 VI. ACKNOWLEDGEMENT In the preparation of this note, I have use the Wiipeia page on the virial theorem theorem. I am grateful to Janvia Rou for her helpful comments an to Eugene Mishcheno for noticing an error of reasoning in an earlier version of this note. [1] L.F.Abbott & M.B.Wise, Dimension of a quantum-mechanical path, Am.J.Phys. 491, 37-39, 1981 [2] E.Nelson, Derivation of the Schringer Equation from Newtonian Mechanics, Phys. Rev. 150, [3] V.Foc, Bemerung zum Virialsatz. Zeitschrift fr Physi A 63 11: [4] L.Nottale, Scale Relativity An Fractal Space-Time: A New Approach to Unifying Relativity an Quantum Mechanics ; Worl Scientific Publishing Company; 1 eition, 2011; ISBN [5] The wor virial erives from latin vis which mean force. The wor an the theorem are both ue to Ruolf Clausius in 1870 in On a Mechanical Theorem Applicable to Heat, in Philosophical Magazine, Ser. 4, vol. 40, 1870, p [6] Using the fact that F ij = F ji, we have: N r i F i = r i F ij + r i F ij = r i F ij r i F ji j<i j>i j<i We can write the last term regrouping those obtaine for the same values of j: an we see that j>i r i F ji = r 1 F 21 + r 1 F 31 + r 2 F 32 + r 1 F 41 + r 2 F 42 + r 3 F 43 + j>i r i F ji = r i F ji = r j F ij j>i Combining the two terms in the original expression: j=1 i<j j<i N r i F i = r i r j F ij j<i

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

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

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

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

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

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

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

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

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

QUANTUMMECHANICAL BEHAVIOUR IN A DETERMINISTIC MODEL. G. t Hooft

QUANTUMMECHANICAL BEHAVIOUR IN A DETERMINISTIC MODEL. G. t Hooft QUANTUMMECHANICAL BEHAVIOUR IN A DETERMINISTIC MODEL G. t Hooft Institute for Theoretical Physics University of Utrecht, P.O.Box 80 006 3508 TA Utrecht, the Netherlans e-mail: g.thooft@fys.ruu.nl THU-96/39

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

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

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

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

Survey Sampling. 1 Design-based Inference. Kosuke Imai Department of Politics, Princeton University. February 19, 2013

Survey Sampling. 1 Design-based Inference. Kosuke Imai Department of Politics, Princeton University. February 19, 2013 Survey Sampling Kosuke Imai Department of Politics, Princeton University February 19, 2013 Survey sampling is one of the most commonly use ata collection methos for social scientists. We begin by escribing

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

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

6 General properties of an autonomous system of two first order ODE

6 General properties of an autonomous system of two first order ODE 6 General properties of an autonomous system of two first orer ODE Here we embark on stuying the autonomous system of two first orer ifferential equations of the form ẋ 1 = f 1 (, x 2 ), ẋ 2 = f 2 (, x

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

Linear First-Order Equations

Linear First-Order Equations 5 Linear First-Orer Equations Linear first-orer ifferential equations make up another important class of ifferential equations that commonly arise in applications an are relatively easy to solve (in theory)

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

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

JUST THE MATHS UNIT NUMBER DIFFERENTIATION 2 (Rates of change) A.J.Hobson

JUST THE MATHS UNIT NUMBER DIFFERENTIATION 2 (Rates of change) A.J.Hobson JUST THE MATHS UNIT NUMBER 10.2 DIFFERENTIATION 2 (Rates of change) by A.J.Hobson 10.2.1 Introuction 10.2.2 Average rates of change 10.2.3 Instantaneous rates of change 10.2.4 Derivatives 10.2.5 Exercises

More information

11.7. Implicit Differentiation. Introduction. Prerequisites. Learning Outcomes

11.7. Implicit Differentiation. Introduction. Prerequisites. Learning Outcomes Implicit Differentiation 11.7 Introuction This Section introuces implicit ifferentiation which is use to ifferentiate functions expresse in implicit form (where the variables are foun together). Examples

More information

inflow outflow Part I. Regular tasks for MAE598/494 Task 1

inflow outflow Part I. Regular tasks for MAE598/494 Task 1 MAE 494/598, Fall 2016 Project #1 (Regular tasks = 20 points) Har copy of report is ue at the start of class on the ue ate. The rules on collaboration will be release separately. Please always follow the

More information

Introduction to Markov Processes

Introduction to Markov Processes Introuction to Markov Processes Connexions moule m44014 Zzis law Gustav) Meglicki, Jr Office of the VP for Information Technology Iniana University RCS: Section-2.tex,v 1.24 2012/12/21 18:03:08 gustav

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

DIFFERENTIAL GEOMETRY, LECTURE 15, JULY 10

DIFFERENTIAL GEOMETRY, LECTURE 15, JULY 10 DIFFERENTIAL GEOMETRY, LECTURE 15, JULY 10 5. Levi-Civita connection From now on we are intereste in connections on the tangent bunle T X of a Riemanninam manifol (X, g). Out main result will be a construction

More information

Center of Gravity and Center of Mass

Center of Gravity and Center of Mass Center of Gravity an Center of Mass 1 Introuction. Center of mass an center of gravity closely parallel each other: they both work the same way. Center of mass is the more important, but center of gravity

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

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

The Kepler Problem. 1 Features of the Ellipse: Geometry and Analysis

The Kepler Problem. 1 Features of the Ellipse: Geometry and Analysis The Kepler Problem For the Newtonian 1/r force law, a miracle occurs all of the solutions are perioic instea of just quasiperioic. To put it another way, the two-imensional tori are further ecompose into

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

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

Time-of-Arrival Estimation in Non-Line-Of-Sight Environments

Time-of-Arrival Estimation in Non-Line-Of-Sight Environments 2 Conference on Information Sciences an Systems, The Johns Hopkins University, March 2, 2 Time-of-Arrival Estimation in Non-Line-Of-Sight Environments Sinan Gezici, Hisashi Kobayashi an H. Vincent Poor

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

II. First variation of functionals

II. First variation of functionals II. First variation of functionals The erivative of a function being zero is a necessary conition for the etremum of that function in orinary calculus. Let us now tackle the question of the equivalent

More information

Survival Facts from Quantum Mechanics

Survival Facts from Quantum Mechanics Survival Facts from Quantum Mechanics Operators, Eigenvalues an Eigenfunctions An operator O may be thought as something that operates on a function to prouce another function. We enote operators with

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

Chapter 6: Energy-Momentum Tensors

Chapter 6: Energy-Momentum Tensors 49 Chapter 6: Energy-Momentum Tensors This chapter outlines the general theory of energy an momentum conservation in terms of energy-momentum tensors, then applies these ieas to the case of Bohm's moel.

More information

The Press-Schechter mass function

The Press-Schechter mass function The Press-Schechter mass function To state the obvious: It is important to relate our theories to what we can observe. We have looke at linear perturbation theory, an we have consiere a simple moel for

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

Solution to the exam in TFY4230 STATISTICAL PHYSICS Wednesday december 1, 2010

Solution to the exam in TFY4230 STATISTICAL PHYSICS Wednesday december 1, 2010 NTNU Page of 6 Institutt for fysikk Fakultet for fysikk, informatikk og matematikk This solution consists of 6 pages. Solution to the exam in TFY423 STATISTICAL PHYSICS Wenesay ecember, 2 Problem. Particles

More information

Lecture Introduction. 2 Examples of Measure Concentration. 3 The Johnson-Lindenstrauss Lemma. CS-621 Theory Gems November 28, 2012

Lecture Introduction. 2 Examples of Measure Concentration. 3 The Johnson-Lindenstrauss Lemma. CS-621 Theory Gems November 28, 2012 CS-6 Theory Gems November 8, 0 Lecture Lecturer: Alesaner Mąry Scribes: Alhussein Fawzi, Dorina Thanou Introuction Toay, we will briefly iscuss an important technique in probability theory measure concentration

More information

. Using a multinomial model gives us the following equation for P d. , with respect to same length term sequences.

. Using a multinomial model gives us the following equation for P d. , with respect to same length term sequences. S 63 Lecture 8 2/2/26 Lecturer Lillian Lee Scribes Peter Babinski, Davi Lin Basic Language Moeling Approach I. Special ase of LM-base Approach a. Recap of Formulas an Terms b. Fixing θ? c. About that Multinomial

More information

Problem Set 6: Workbook on Operators, and Dirac Notation Solution

Problem Set 6: Workbook on Operators, and Dirac Notation Solution Moern Physics: Home work 5 Due ate: 0 March. 014 Problem Set 6: Workbook on Operators, an Dirac Notation Solution 1. nswer 1: a The cat is being escribe by the state, ψ >= ea > If we try to observe it

More information

Tractability results for weighted Banach spaces of smooth functions

Tractability results for weighted Banach spaces of smooth functions Tractability results for weighte Banach spaces of smooth functions Markus Weimar Mathematisches Institut, Universität Jena Ernst-Abbe-Platz 2, 07740 Jena, Germany email: markus.weimar@uni-jena.e March

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

05 The Continuum Limit and the Wave Equation

05 The Continuum Limit and the Wave Equation Utah State University DigitalCommons@USU Founations of Wave Phenomena Physics, Department of 1-1-2004 05 The Continuum Limit an the Wave Equation Charles G. Torre Department of Physics, Utah State University,

More information

Calculus in the AP Physics C Course The Derivative

Calculus in the AP Physics C Course The Derivative Limits an Derivatives Calculus in the AP Physics C Course The Derivative In physics, the ieas of the rate change of a quantity (along with the slope of a tangent line) an the area uner a curve are essential.

More information

Applications of First Order Equations

Applications of First Order Equations Applications of First Orer Equations Viscous Friction Consier a small mass that has been roppe into a thin vertical tube of viscous flui lie oil. The mass falls, ue to the force of gravity, but falls more

More information

Dot trajectories in the superposition of random screens: analysis and synthesis

Dot trajectories in the superposition of random screens: analysis and synthesis 1472 J. Opt. Soc. Am. A/ Vol. 21, No. 8/ August 2004 Isaac Amiror Dot trajectories in the superposition of ranom screens: analysis an synthesis Isaac Amiror Laboratoire e Systèmes Périphériques, Ecole

More information

4.2 First Differentiation Rules; Leibniz Notation

4.2 First Differentiation Rules; Leibniz Notation .. FIRST DIFFERENTIATION RULES; LEIBNIZ NOTATION 307. First Differentiation Rules; Leibniz Notation In this section we erive rules which let us quickly compute the erivative function f (x) for any polynomial

More information

221A Lecture Notes Notes on Classica Mechanics I

221A Lecture Notes Notes on Classica Mechanics I 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.

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

On colour-blind distinguishing colour pallets in regular graphs

On colour-blind distinguishing colour pallets in regular graphs J Comb Optim (2014 28:348 357 DOI 10.1007/s10878-012-9556-x On colour-blin istinguishing colour pallets in regular graphs Jakub Przybyło Publishe online: 25 October 2012 The Author(s 2012. This article

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

19 Eigenvalues, Eigenvectors, Ordinary Differential Equations, and Control

19 Eigenvalues, Eigenvectors, Ordinary Differential Equations, and Control 19 Eigenvalues, Eigenvectors, Orinary Differential Equations, an Control This section introuces eigenvalues an eigenvectors of a matrix, an iscusses the role of the eigenvalues in etermining the behavior

More information

Remarks on time-energy uncertainty relations

Remarks on time-energy uncertainty relations Remarks on time-energy uncertainty relations arxiv:quant-ph/0207048v1 9 Jul 2002 Romeo Brunetti an Klaus Freenhagen II Inst. f. Theoretische Physik, Universität Hamburg, 149 Luruper Chaussee, D-22761 Hamburg,

More information

APPROXIMATE SOLUTION FOR TRANSIENT HEAT TRANSFER IN STATIC TURBULENT HE II. B. Baudouy. CEA/Saclay, DSM/DAPNIA/STCM Gif-sur-Yvette Cedex, France

APPROXIMATE SOLUTION FOR TRANSIENT HEAT TRANSFER IN STATIC TURBULENT HE II. B. Baudouy. CEA/Saclay, DSM/DAPNIA/STCM Gif-sur-Yvette Cedex, France APPROXIMAE SOLUION FOR RANSIEN HEA RANSFER IN SAIC URBULEN HE II B. Bauouy CEA/Saclay, DSM/DAPNIA/SCM 91191 Gif-sur-Yvette Ceex, France ABSRAC Analytical solution in one imension of the heat iffusion equation

More information

Total Energy Shaping of a Class of Underactuated Port-Hamiltonian Systems using a New Set of Closed-Loop Potential Shape Variables*

Total Energy Shaping of a Class of Underactuated Port-Hamiltonian Systems using a New Set of Closed-Loop Potential Shape Variables* 51st IEEE Conference on Decision an Control December 1-13 212. Maui Hawaii USA Total Energy Shaping of a Class of Uneractuate Port-Hamiltonian Systems using a New Set of Close-Loop Potential Shape Variables*

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

arxiv: v1 [physics.flu-dyn] 8 May 2014

arxiv: v1 [physics.flu-dyn] 8 May 2014 Energetics of a flui uner the Boussinesq approximation arxiv:1405.1921v1 [physics.flu-yn] 8 May 2014 Kiyoshi Maruyama Department of Earth an Ocean Sciences, National Defense Acaemy, Yokosuka, Kanagawa

More information

1. At time t = 0, the wave function of a free particle moving in a one-dimension is given by, ψ(x,0) = N

1. At time t = 0, the wave function of a free particle moving in a one-dimension is given by, ψ(x,0) = N Physics 15 Solution Set Winter 018 1. At time t = 0, the wave function of a free particle moving in a one-imension is given by, ψ(x,0) = N where N an k 0 are real positive constants. + e k /k 0 e ikx k,

More information

Generalization of the persistent random walk to dimensions greater than 1

Generalization of the persistent random walk to dimensions greater than 1 PHYSICAL REVIEW E VOLUME 58, NUMBER 6 DECEMBER 1998 Generalization of the persistent ranom walk to imensions greater than 1 Marián Boguñá, Josep M. Porrà, an Jaume Masoliver Departament e Física Fonamental,

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

On the Surprising Behavior of Distance Metrics in High Dimensional Space

On the Surprising Behavior of Distance Metrics in High Dimensional Space On the Surprising Behavior of Distance Metrics in High Dimensional Space Charu C. Aggarwal, Alexaner Hinneburg 2, an Daniel A. Keim 2 IBM T. J. Watson Research Center Yortown Heights, NY 0598, USA. charu@watson.ibm.com

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

3.7 Implicit Differentiation -- A Brief Introduction -- Student Notes

3.7 Implicit Differentiation -- A Brief Introduction -- Student Notes Fin these erivatives of these functions: y.7 Implicit Differentiation -- A Brief Introuction -- Stuent Notes tan y sin tan = sin y e = e = Write the inverses of these functions: y tan y sin How woul we

More information

ON THE MEANING OF LORENTZ COVARIANCE

ON THE MEANING OF LORENTZ COVARIANCE Founations of Physics Letters 17 (2004) pp. 479 496. ON THE MEANING OF LORENTZ COVARIANCE László E. Szabó Theoretical Physics Research Group of the Hungarian Acaemy of Sciences Department of History an

More information

UNDERSTANDING INTEGRATION

UNDERSTANDING INTEGRATION UNDERSTANDING INTEGRATION Dear Reaer The concept of Integration, mathematically speaking, is the "Inverse" of the concept of result, the integration of, woul give us back the function f(). This, in a way,

More information

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs Lectures - Week 10 Introuction to Orinary Differential Equations (ODES) First Orer Linear ODEs When stuying ODEs we are consiering functions of one inepenent variable, e.g., f(x), where x is the inepenent

More information

MA 2232 Lecture 08 - Review of Log and Exponential Functions and Exponential Growth

MA 2232 Lecture 08 - Review of Log and Exponential Functions and Exponential Growth MA 2232 Lecture 08 - Review of Log an Exponential Functions an Exponential Growth Friay, February 2, 2018. Objectives: Review log an exponential functions, their erivative an integration formulas. Exponential

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

Qubit channels that achieve capacity with two states

Qubit channels that achieve capacity with two states Qubit channels that achieve capacity with two states Dominic W. Berry Department of Physics, The University of Queenslan, Brisbane, Queenslan 4072, Australia Receive 22 December 2004; publishe 22 March

More information

Quantum optics of a Bose-Einstein condensate coupled to a quantized light field

Quantum optics of a Bose-Einstein condensate coupled to a quantized light field PHYSICAL REVIEW A VOLUME 60, NUMBER 2 AUGUST 1999 Quantum optics of a Bose-Einstein conensate couple to a quantize light fiel M. G. Moore, O. Zobay, an P. Meystre Optical Sciences Center an Department

More information

Least-Squares Regression on Sparse Spaces

Least-Squares Regression on Sparse Spaces Least-Squares Regression on Sparse Spaces Yuri Grinberg, Mahi Milani Far, Joelle Pineau School of Computer Science McGill University Montreal, Canaa {ygrinb,mmilan1,jpineau}@cs.mcgill.ca 1 Introuction

More information

An Explicit Formulation of Singularity-Free Dynamic Equations of Mechanical Systems in Lagrangian Form Part Two: Multibody Systems

An Explicit Formulation of Singularity-Free Dynamic Equations of Mechanical Systems in Lagrangian Form Part Two: Multibody Systems Moeng, Ientification an Control, Vol 33, No 2, 2012, pp 61 68 An Expcit Formulation of Singularity-Free Dynamic Equations of Mechanical Systems in Lagrangian Form Part Two: Multiboy Systems Pål Johan From

More information

Integration Review. May 11, 2013

Integration Review. May 11, 2013 Integration Review May 11, 2013 Goals: Review the funamental theorem of calculus. Review u-substitution. Review integration by parts. Do lots of integration eamples. 1 Funamental Theorem of Calculus In

More information

Counting Lattice Points in Polytopes: The Ehrhart Theory

Counting Lattice Points in Polytopes: The Ehrhart Theory 3 Counting Lattice Points in Polytopes: The Ehrhart Theory Ubi materia, ibi geometria. Johannes Kepler (1571 1630) Given the profusion of examples that gave rise to the polynomial behavior of the integer-point

More information

Two formulas for the Euler ϕ-function

Two formulas for the Euler ϕ-function Two formulas for the Euler ϕ-function Robert Frieman A multiplication formula for ϕ(n) The first formula we want to prove is the following: Theorem 1. If n 1 an n 2 are relatively prime positive integers,

More information

arxiv:physics/ v4 [physics.class-ph] 9 Jul 1999

arxiv:physics/ v4 [physics.class-ph] 9 Jul 1999 AIAA-99-2144 PROPULSION THROUGH ELECTROMAGNETIC SELF-SUSTAINED ACCELERATION arxiv:physics/9906059v4 [physics.class-ph] 9 Jul 1999 Abstract As is known the repulsion of the volume elements of an uniformly

More information

Lower Bounds for the Smoothed Number of Pareto optimal Solutions

Lower Bounds for the Smoothed Number of Pareto optimal Solutions Lower Bouns for the Smoothe Number of Pareto optimal Solutions Tobias Brunsch an Heiko Röglin Department of Computer Science, University of Bonn, Germany brunsch@cs.uni-bonn.e, heiko@roeglin.org Abstract.

More information

IMPLICIT DIFFERENTIATION

IMPLICIT DIFFERENTIATION IMPLICIT DIFFERENTIATION CALCULUS 3 INU0115/515 (MATHS 2) Dr Arian Jannetta MIMA CMath FRAS Implicit Differentiation 1/ 11 Arian Jannetta Explicit an implicit functions Explicit functions An explicit function

More information

Thermal runaway during blocking

Thermal runaway during blocking Thermal runaway uring blocking CES_stable CES ICES_stable ICES k 6.5 ma 13 6. 12 5.5 11 5. 1 4.5 9 4. 8 3.5 7 3. 6 2.5 5 2. 4 1.5 3 1. 2.5 1. 6 12 18 24 3 36 s Thermal runaway uring blocking Application

More information

A NONLINEAR SOURCE SEPARATION APPROACH FOR THE NICOLSKY-EISENMAN MODEL

A NONLINEAR SOURCE SEPARATION APPROACH FOR THE NICOLSKY-EISENMAN MODEL 6th European Signal Processing Conference EUSIPCO 28, Lausanne, Switzerlan, August 25-29, 28, copyright by EURASIP A NONLINEAR SOURCE SEPARATION APPROACH FOR THE NICOLSKY-EISENMAN MODEL Leonaro Tomazeli

More information

arxiv: v1 [gr-qc] 24 Jan 2019

arxiv: v1 [gr-qc] 24 Jan 2019 A moment approach to compute quantum-gravity effects in the primorial universe Davi Brizuela 1 an Unai Muniain Fisika Teorikoa eta Zientziaren Historia Saila, UPV/EHU, 644 P.K., 48080 Bilbao, Spain arxiv:1901.08391v1

More information

1 The Derivative of ln(x)

1 The Derivative of ln(x) Monay, December 3, 2007 The Derivative of ln() 1 The Derivative of ln() The first term or semester of most calculus courses will inclue the it efinition of the erivative an will work out, long han, a number

More information

Implicit Lyapunov control of closed quantum systems

Implicit Lyapunov control of closed quantum systems Joint 48th IEEE Conference on Decision an Control an 28th Chinese Control Conference Shanghai, P.R. China, December 16-18, 29 ThAIn1.4 Implicit Lyapunov control of close quantum systems Shouwei Zhao, Hai

More information

Harmonic Modelling of Thyristor Bridges using a Simplified Time Domain Method

Harmonic Modelling of Thyristor Bridges using a Simplified Time Domain Method 1 Harmonic Moelling of Thyristor Briges using a Simplifie Time Domain Metho P. W. Lehn, Senior Member IEEE, an G. Ebner Abstract The paper presents time omain methos for harmonic analysis of a 6-pulse

More information

Relative Entropy and Score Function: New Information Estimation Relationships through Arbitrary Additive Perturbation

Relative Entropy and Score Function: New Information Estimation Relationships through Arbitrary Additive Perturbation Relative Entropy an Score Function: New Information Estimation Relationships through Arbitrary Aitive Perturbation Dongning Guo Department of Electrical Engineering & Computer Science Northwestern University

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

Agmon Kolmogorov Inequalities on l 2 (Z d )

Agmon Kolmogorov Inequalities on l 2 (Z d ) Journal of Mathematics Research; Vol. 6, No. ; 04 ISSN 96-9795 E-ISSN 96-9809 Publishe by Canaian Center of Science an Eucation Agmon Kolmogorov Inequalities on l (Z ) Arman Sahovic Mathematics Department,

More information

How the potentials in different gauges yield the same retarded electric and magnetic fields

How the potentials in different gauges yield the same retarded electric and magnetic fields How the potentials in ifferent gauges yiel the same retare electric an magnetic fiels José A. Heras a Departamento e Física, E. S. F. M., Instituto Politécnico Nacional, México D. F. México an Department

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

Stable Polynomials over Finite Fields

Stable Polynomials over Finite Fields Rev. Mat. Iberoam., 1 14 c European Mathematical Society Stable Polynomials over Finite Fiels Domingo Gómez-Pérez, Alejanro P. Nicolás, Alina Ostafe an Daniel Saornil Abstract. We use the theory of resultants

More information

A. Incorrect! The letter t does not appear in the expression of the given integral

A. Incorrect! The letter t does not appear in the expression of the given integral AP Physics C - Problem Drill 1: The Funamental Theorem of Calculus Question No. 1 of 1 Instruction: (1) Rea the problem statement an answer choices carefully () Work the problems on paper as neee (3) Question

More information

Analytic Scaling Formulas for Crossed Laser Acceleration in Vacuum

Analytic Scaling Formulas for Crossed Laser Acceleration in Vacuum October 6, 4 ARDB Note Analytic Scaling Formulas for Crosse Laser Acceleration in Vacuum Robert J. Noble Stanfor Linear Accelerator Center, Stanfor University 575 San Hill Roa, Menlo Park, California 945

More information

Optimization of Geometries by Energy Minimization

Optimization of Geometries by Energy Minimization Optimization of Geometries by Energy Minimization by Tracy P. Hamilton Department of Chemistry University of Alabama at Birmingham Birmingham, AL 3594-140 hamilton@uab.eu Copyright Tracy P. Hamilton, 1997.

More information

Extinction, σ/area. Energy (ev) D = 20 nm. t = 1.5 t 0. t = t 0

Extinction, σ/area. Energy (ev) D = 20 nm. t = 1.5 t 0. t = t 0 Extinction, σ/area 1.5 1.0 t = t 0 t = 0.7 t 0 t = t 0 t = 1.3 t 0 t = 1.5 t 0 0.7 0.9 1.1 Energy (ev) = 20 nm t 1.3 Supplementary Figure 1: Plasmon epenence on isk thickness. We show classical calculations

More information