2 Harmonic Oscillator in One Dimension

Similar documents
The Quantum Harmonic Oscillator Stephen Webb

1 Lecture 3: Operators in Quantum Mechanics

FLAP P11.2 The quantum harmonic oscillator

PHY4604 Introduction to Quantum Mechanics Fall 2004 Practice Test 3 November 22, 2004

Time dependence in quantum mechanics Notes on Quantum Mechanics

Till now, almost all attention has been focussed on discussing the state of a quantum system.

Operator methods in quantum mechanics

Lecture 8. Generating a non-uniform probability distribution

A Simple Pseudo Random Number algorithm

Introduction to Schrödinger Equation: Harmonic Potential

Introduction to Matrix Algebra

8.04: Quantum Mechanics Professor Allan Adams Massachusetts Institute of Technology. Problem Set 5

Physics 9e/Cutnell. correlated to the. College Board AP Physics 1 Course Objectives

Understanding Poles and Zeros

Assessment Plan for Learning Outcomes for BA/BS in Physics

Three Pictures of Quantum Mechanics. Thomas R. Shafer April 17, 2009

Time Ordered Perturbation Theory

5.61 Physical Chemistry 25 Helium Atom page 1 HELIUM ATOM

the points are called control points approximating curve

2.2 Magic with complex exponentials

Quantum Mechanics and Representation Theory

9.2 Summation Notation

State of Stress at Point

2. Spin Chemistry and the Vector Model

Chapter 9 Unitary Groups and SU(N)

Chapter 22 The Hamiltonian and Lagrangian densities. from my book: Understanding Relativistic Quantum Field Theory. Hans de Vries

Quantum Mechanics: Postulates

The Characteristic Polynomial

1 Variational calculation of a 1D bound state

Quantum Time: Formalism and Applications

FACTORING QUADRATICS and 8.1.2

TOPIC 4: DERIVATIVES

Mathematics Course 111: Algebra I Part IV: Vector Spaces

1 Sets and Set Notation.

Accuracy of the coherent potential approximation for a onedimensional array with a Gaussian distribution of fluctuations in the on-site potential

Review of Fundamental Mathematics

- particle with kinetic energy E strikes a barrier with height U 0 > E and width L. - classically the particle cannot overcome the barrier

arxiv:physics/ v1 [physics.ed-ph] 14 Apr 2000

2.6 The driven oscillator

Theory of electrons and positrons

Orbits of the Lennard-Jones Potential

3. Reaction Diffusion Equations Consider the following ODE model for population growth

The continuous and discrete Fourier transforms

Understanding Basic Calculus

Atomic Structure Ron Robertson

Physics 221A Spring 2016 Notes 1 The Mathematical Formalism of Quantum Mechanics

Linear algebra and the geometry of quadratic equations. Similarity transformations and orthogonal matrices

Numerical Resolution Of The Schrödinger Equation

PHYSICS TEST PRACTICE BOOK. Graduate Record Examinations. This practice book contains. Become familiar with. Visit GRE Online at

Space-Time Approach to Non-Relativistic Quantum Mechanics

Similarity and Diagonalization. Similar Matrices

by the matrix A results in a vector which is a reflection of the given

Differential Relations for Fluid Flow. Acceleration field of a fluid. The differential equation of mass conservation

Oscillations. Vern Lindberg. June 10, 2010

Experiment #12: The Bohr Atom. Equipment: Spectroscope Hydrogen and Helium Gas Discharge Tubes, Holder, and Variac Flashlight

Mechanics 1: Conservation of Energy and Momentum

DO PHYSICS ONLINE FROM QUANTA TO QUARKS QUANTUM (WAVE) MECHANICS

2013 MBA Jump Start Program

5 Homogeneous systems

ASEN Structures. MDOF Dynamic Systems. ASEN 3112 Lecture 1 Slide 1

Math 120 Final Exam Practice Problems, Form: A

Chapter 6. Orthogonality

2 Session Two - Complex Numbers and Vectors

5.61 Fall 2012 Lecture #19 page 1

2, 8, 20, 28, 50, 82, 126.

Copyright 2011 Casa Software Ltd.

Inner Product Spaces

Spring Simple Harmonic Oscillator. Spring constant. Potential Energy stored in a Spring. Understanding oscillations. Understanding oscillations

Wave Function, ψ. Chapter 28 Atomic Physics. The Heisenberg Uncertainty Principle. Line Spectrum

Solutions to Problems in Goldstein, Classical Mechanics, Second Edition. Chapter 7

MATH10212 Linear Algebra. Systems of Linear Equations. Definition. An n-dimensional vector is a row or a column of n numbers (or letters): a 1.

Linear Algebra Notes for Marsden and Tromba Vector Calculus

Data Mining: Algorithms and Applications Matrix Math Review

Lecture L3 - Vectors, Matrices and Coordinate Transformations

Introduction to the Finite Element Method (FEM)

State Newton's second law of motion for a particle, defining carefully each term used.

x = + x 2 + x

Particle Physics. Michaelmas Term 2011 Prof Mark Thomson. Handout 7 : Symmetries and the Quark Model. Introduction/Aims

BANACH AND HILBERT SPACE REVIEW

Eigenvalues, Eigenvectors, and Differential Equations

MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS

7. DYNAMIC LIGHT SCATTERING 7.1 First order temporal autocorrelation function.

Module 3 : Molecular Spectroscopy Lecture 13 : Rotational and Vibrational Spectroscopy

Dispersion diagrams of a water-loaded cylindrical shell obtained from the structural and acoustic responses of the sensor array along the shell

Figure 1.1 Vector A and Vector F

CHAPTER 13 MOLECULAR SPECTROSCOPY

Equations, Inequalities & Partial Fractions

4.3 Lagrange Approximation

CHEM6085: Density Functional Theory Lecture 2. Hamiltonian operators for molecules

MBA Jump Start Program

JUST THE MATHS UNIT NUMBER 1.8. ALGEBRA 8 (Polynomials) A.J.Hobson

Does Quantum Mechanics Make Sense? Size

PHYS 1624 University Physics I. PHYS 2644 University Physics II

Algebra 2 Chapter 1 Vocabulary. identity - A statement that equates two equivalent expressions.

Au = = = 3u. Aw = = = 2w. so the action of A on u and w is very easy to picture: it simply amounts to a stretching by 3 and 2, respectively.

Integration of a fin experiment into the undergraduate heat transfer laboratory

QUANTIZED INTEREST RATE AT THE MONEY FOR AMERICAN OPTIONS

Section Inner Products and Norms

LINEAR ALGEBRA W W L CHEN

Multi-variable Calculus and Optimization

Transcription:

Physics 195a Course Notes The Simple Harmonic Oscillator: Creation and Destruction Operators 01105 F. Porter 1 Introduction The harmonic oscillator is an important model system pervading many areas in classical physics; it is likewise ubiquitous in quantum mechanics. The nonrelativistic Scro dinger equation with a harmonic oscillator potential is readily solved with standard analytic methods, whether in one or three dimensions. However, we will take a different tack here, and address the one-dimension problem more as an excuse to introduce the notion of creation and annihilation operators, or step-up and step-down operators. This is an example of a type of operation which will repeat itself in many contexts, including the theory of angular momentum. Harmonic Oscillator in One Dimension Consider the Hamiltonian: H = p m + 1 mω x. (1) This is the Hamiltonian for a particle of mass m in a harmonic oscillator potential with spring constant k = mω,whereω is the classical frequency of the oscillator. We wish to find the eigenstates and eigenvalues of this Hamiltonian, that is, we wish to solve the Schrödinger equation for this system. We ll use an approach due to Dirac. Define the operators: mω a x + i 1 p () mω mω a x i 1 p. (3) mω Note that a is the Hermitian adjoint of a. We can invert these equations to obtain the x and p operators: 1 x = (a + a ), (4) mω 1

Further, define mω p = i (a a ). (5) N a a (6) = mω x + 1 mω p 1, (7) wherewehavemadeuseofthecommutator[x, p] =i. Thus, we may rewrite the Hamiltonian in the form: ( H = ω N + 1 ), (8) and our problem is equivalent to finding the eigenvectors and eigenvalues of N. 3 Algebraic Determination of the Spectrum Let n denote an eigenvector of N, with eigenvalue n: N n = n n. (9) Then n is also an eigenstate of H with eigenvalue (n + 1 )ω. Since N is Hermitian, N =(a a) =(a )(a ) = a a = N, (10) its eigenvalues are real. Also n 0, since n = n N n = n a a n = an an 0. (11) Now consider the commutator: [a, a ] = Next, notice that [ mω x + i 1 mω p, ] mω x i 1 p mω = i { [x, p]+[p, x]} =1. (1) Na = a aa = aa a a = a(n 1), (13) Na = a aa = a a a + a = a (N +1). (14)

Thus, Na n = a(n 1) n =(n 1)a n. (15) We see that a n is also an eigenvector of N, with eigenvalue n 1. Assuming n is normalized, n n = 1, then an an = n N n = n, (16) or a n = n n 1, where we have also normalized the new eigenvector n 1. We may continue this process to higher powers of a, e.g., a n = a n n 1 = n(n 1) n. (17) If n is an eigenvalue of N, thensoaren 1,n,n 3,...Butweshowed that all of the eigenvalues of N are 0, so this sequence cannot go on forever. In order for it to terminate, we must have n an integer, so that we reach the value 0 eventually, and conclude with the states Hence, the spectrum of N is {0, 1,, 3,...,n,?}. To investigate further, we similarly consider: a 1 = 1 0, (18) a 0 = 0. (19) Na n =(n +1)a n. (0) Hence a n is also an eigenvector of N with eigenvalue n +1: a n = n +1 n +1. (1) The spectrum of N is thus the set of all non-negative integers. The energy spectrum is: ( E n = ω n + 1 ), n =0, 1,,... () We notice two interesting differences between this spectrum and our classical experience. First, of course, is that the energy levels are quantized. Second, the ground state energy is E 0 = ω/ > 0. Zero is not an allowed energy. This lowest energy value is referred to as zero-point motion. We cannot give the particle zero energy and be consistent with the uncertainty principle, since this would require p = 0andx = 0, simultaneously. 3

We may give a physical intuition to the operators a and a : The energy of the oscillator is quantized, in units of ω, starting at the ground state with energy 1 ω.thea operator creates a quantum of energy when operating on a state we call it a creation operator (alternatively, a step-up operator ). Similarly, the a operator destroys a quantum of of energy we call it a destruction operator (or step-down, or annihilation operator ). This idea takes on greater significance when we encounter the subject of second quantization and quantum field theory. 4 The Eigenvectors We have determined the eigenvalues; let us turn our attention now to the eigenvectors. Notice that we can start with the ground state 0 and generate all eigenvectors by repeated application of a : 1 = a 0 = (a ) 0. n = (a ) n 0. (3) n! So, if we can find the ground state wave function, we have a prescription for determining any other state. We wish to find the ground state wave function, in the position representation (for example). If x represents the amplitude describing a particle at position x, then x 0 = ψ 0 (x) is the ground state wave function in postition space. 1 Consider: x a 0 = 0 mω = x x + ip 0 mω ( mω = x + 1 ) d x 0. (4) mω dx 1 The notion here is that the wave function of a particle at position x is (proportional to) a δ-function in position. Hence, ψ 0 (x) = x 0 = δ(x x )ψ 0 (x ) dx. 4

Thus, we have the (first order!) differential equation: d dx ψ 0(x) = mωxψ 0 (x), (5) with solution: ln ψ 0 (x) = mω x + constant. (6) The constant is determined (up to an arbitrary phase) by normalizing, to obtain: ( ) mω 1/4 ψ 0 (x) = exp ( 1 ) π mωx. (7) This is a Gaussian form. The Fourier transform of a Gaussian is also a Gaussian, so the momentum space wave function is also of Gaussian form. In this case, the position-momentum uncertainty relation is an equality, x p =1/. This is sometimes referred to as a minimum wave packet. Now that we have the ground state, we may follow our plan to obtain the excited states. For example, x 1 = x a 0 = ( mω x 1 ) d x 0 (8) mω dx Substituting in our above result for ψ 0, we thus obtain: ψ 1 (x) = mω ( ) mω 1/4 x exp ( 1 ) π mωx. (9) To express the general eigenvector, it is convenient to define y = mωx, and a = 1 (y d y ), (30) where d y is a shorthand notation meaning d/dy. The general eigenfunctions are clearly all polynomials times e y /,since ψ n (y) = (a ) n n! ψ 0 (n) = 1 n n! (y d y) n 1 π 1/4 e y /. (31) Thus, we may let ψ n (y) = 1 1 n n! π H n(y)e y /, (3) 1/4 5

where H n is a polynomial, to be determined. We may derive a recurrence relation which these polynomials satisfy. First, use ψ n+1 (y) = a n +1 ψ n (y) = 1 (n +1) (y d y)ψ n (y), (33) to obtain: On the other hand, ψ n 1 (y) = H n+1 (y) =yh n (y) d y H n (y). (34) a ψ n (y) = 1 (y + d y )ψ n (y), (35) n n or, d y H n (y) =nh n 1 (y). (36) Combining Eqns. 34 and 36 to eliminate the derivative, we find: H n+1 (y) =yh n (y) nh n 1 (y). (37) This result is the familiar recurrence relation for the Hermite polynomials (hence our choice of symbol). We could go on to determine other properties of these polynomials, such as Rodrigues formula: H n (x) =( ) n e x dn dx n e x, n =0, 1,,... (38) But we ll conclude here only by noting that the harmonic oscillator wave functions are also eigenstates of parity: Pψ n (x) =ψ n ( x) =( ) n ψ n (x), (39) wherer P is the parity (space reflection) operator. This fact shouldn t be surprising, since [H, P] = 0. In Fig. 1 we show the first five harmonic oscillator wave functions. It is worth noting several characteristics of these curves, which are representative of wave functions for one-dimensional potential problems. The ground state wave function has no nodes (at finite y); the first excited state has one node. In general, the n-th wave function has n 1nodes. 6

1.5 1.0 0.5 0.0-4 -3 - -1 0 1 3 4 y -0.5-1.0-1.5 Figure 1: The first five harmonic oscillator wave functions, ψ 0 (y),...,ψ 4 (y), from Eqn. 3. Also shown is the quadratic potential, V (y), for ω =1/8. The classical turning point (point of inflection) for ψ 4 is projected to the x-axis at x = 3. The projection is extended to the potential curve, and thence to the y-axis, where it may be seen that the energy of this state is 9/16 = (4 + 1 )ω. Correlating with the increase in nodes, the higher the excited state, the greater the spatial frequency of the wave function oscillations. This corresponds to higher momenta, as expected from the debroglie relation. Each wave function has a region around y = 0 of oscillatory behavior, in which the curve is concave towards the horizontal axis (the sign of the second derivative is opposite that of the wave function), and a region at larger values of y of decay, in which the curve is convex towards the horizontal axis. This feature may be understood as follows: Wherever the total energy, E, is larger than the potential energy, V, the kinetic energy, T, is positive, and p = mt is real. This is the classically allowed region, and the wave function really looks like a wave. On the other hand, wherever E<V, T<0, and the corresponding momentum is imaginary. This is the classically forbidden region. In this region, the probability to find the particle falls off rapidly. Mea- 7

surements of the particle s position and momentum (yielding a real number) are restricted according to the uncertainty principle such that no internal contradictions occur. The point of inflection in the wave function between the classically allowed and forbidden regions is the classical turning point of the system. This is where the classical momentum is zero, and E = V. 5 Exercises 1. We have noticed some things about the qualitative behavior of wave functions in our discussion of Fig. 1. Consider the one-dimensional problem with potential function given by: { 0 for x a, V (x) = for x >a, V 0 (40) where V 0 > 0anda>0. (a) Suppose that there are four bound states. Make a qualitative, but careful, drawing of what you expect the first four wave functions to look like, in the spirit of Fig. 1. (b) Make a qualitative drawing for the wave function of a state with energy above V 0.. Let us generalize the discussion of the simple harmonic oscillator to three dimensions. In this case, the Hamiltonian is: H = 1 m (p 1 + p + p 3 )+1 m(ωx), (41) where Ω is a 3 3 symmetric real matrix. (a) Determine the energy spectrum and eigenvectors of this system. (b) Suppose the potential is spherically symmetric. Using the equivalent one-dimensional potential approach, find the eigenvalues and eigenvectors of H corresponding to the possible values of orbital angular momentum. 8