Introduction to Schrödinger Equation: Harmonic Potential

Size: px
Start display at page:

Download "Introduction to Schrödinger Equation: Harmonic Potential"

Transcription

1 Introduction to Schrödinger Equation: Harmonic Potential Chia-Chun Chou May 2, 2006 Introduction to Schrödinger Equation: Harmonic Potential

2 Time-Dependent Schrödinger Equation For a nonrelativistic particle with mass m moving along the x axis in a potential V (x, t), the time-dependent Schrödinger equation is given by Ψ(x, t) i h t = h2 2 Ψ(x, t) 2m x 2 + V (x, t)ψ(x, t). (1) If the potential V is independent of t, the Schrödinger equation can be solved by the method of separation of variables: Substituting Eq. (2) into Eq. (1) gives Ψ(x, t) = ψ(x)f(t). (2) df dt = iē h f (3) Introduction to Schrödinger Equation: Harmonic Potential 1

3 h2 d 2 ψ + V (x)ψ = Eψ. (4) 2m dx2 Eq.(3) is easy to solve; the solution is f(t) = e iet h. (5) Eq.(4) is called the time-independent Schrödinger equation and it can be expressed by Ĥψ = Eψ (6) d 2 where Ĥ is called Hamiltonian operator. Ĥ = h2 + V (x) (7) 2mdx2 Introduction to Schrödinger Equation: Harmonic Potential 2

4 These separable solutions are called stationary states The eigenvalue E is the energy of the state ψ(x). Ψ(x, t) = ψ(x)e iet h. (8) Born s statistical interpretation says that Ψ(x, t) 2 gives the probability of finding the particle at point x at time t. Therefore, Ψ(x, t) 2 dx = 1. (9) Physically realizable states correspond to the square-integrable solutions to the Schrödinger equation. Boundary condition is that Ψ(x, t) must go to zero as x goes to ±. For stationary states, although the wave function depends on t, the Introduction to Schrödinger Equation: Harmonic Potential 3

5 probability density does not: Ψ(x, t) 2 = ψe iet h ψ e iet h = ψ(x) 2. (10) Principle of Superposition: The general solution is a linear combination of separable solutions. Ψ 1 (x, t) = ψ 1 (x)e ie 1 t h (11) Ψ 2 (x, t) = ψ 2 (x)e ie 2 t h (12). Once we have found the separable solutions, we can construct a much Introduction to Schrödinger Equation: Harmonic Potential 4

6 more general solution Ψ(x, t) = n=1 c n ψ n (x)e ie nt h. (13) Given the starting wave function Ψ(x, 0), the coefficients in the expansion can be determined by Ψ(x, 0) = c n = c n ψ n (x) (14) n=1 ψ n (x) Ψ(x, 0)dx. (15) Introduction to Schrödinger Equation: Harmonic Potential 5

7 Harmonic Potential The harmonic potential is given by V (x) = 1 2 mω2 x 2 (16) where m is the mass of the particle and ω is the angular frequency of the oscillation. We want to solve the time-independent Schrödinger equation If we introduce the dimensionless variable h2 d 2 ψ 2m dx mω2 x 2 ψ = Eψ. (17) ξ = mω h x, Introduction to Schrödinger Equation: Harmonic Potential 6

8 the Schrödinger equation becomes d 2 ψ dξ = 2 (ξ2 K)ψ and K = 2E hω (18) where K is the energy. Our problem is to solve Eq. (18). At very large ξ, ξ 2 completely dominates over the constant K, so in this region The approximate solution is d 2 ψ dξ 2 ξ2 ψ. (19) ψ(ξ) Ae ξ2 2 + Be ξ 2 2. (20) Introduction to Schrödinger Equation: Harmonic Potential 7

9 According to the boundary condition, ψ(ξ) 0 as ξ ±, so B = 0. Therefore, the physically acceptable solutions have the asymptotic form This suggests that ψ(ξ) Ae ξ2 2, at large ξ. (21) Then, we substitute Eq. (22) into Eq. (18): ψ(ξ) = h(ξ)e ξ2 2. (22) dψ dξ = ( ) dh dξ ξh e ξ2 2 (23) Introduction to Schrödinger Equation: Harmonic Potential 8

10 d 2 ψ dξ 2 = so the Schrödinger equation, Eq. (18), becomes ( d 2 ) h dξ 2ξdh 2 dξ + (ξ2 1)h e ξ2 2, (24) d 2 h dξ 2 2ξdh dξ + (K 1)h = 0. (25) We use the power expansion method to solve Eq. (25) to look for solutions in the form of power series in ξ: h(ξ) = a j ξ j. (26) j=0 Introduction to Schrödinger Equation: Harmonic Potential 9

11 Differentiating the series term by term, dh dξ = j=0 ja j ξ j 1 (27) d 2 h dξ 2 = (j + 1)(j + 2)a j+2 ξ j. (28) j=0 Putting these into Eq. (18), we find [(j + 1)(j + 2)a j+2 2ja j + (K 1)a j ] ξ j = 0. (29) j=0 It follows that the coefficient of each power of ξ must vanish, (j + 1)(j + 2)a j+2 2ja j + (K 1)a j = 0, Introduction to Schrödinger Equation: Harmonic Potential 10

12 and hence that a j+2 = (2j + 1 K) (j + 1)(j + 2) a j. (30) This recursion formula is entirely equivalent to the Schrödinger equation. Starting with a 0, it generates all the even-numbered coefficients and starting with a 1, it generates all the odd coefficients. We write the complete solution as h(ξ) = h even (ξ) + h odd (ξ). However, not all the solutions so obtained are normalizabled. At very large j, the recursion formula becomes (approximately) a j+2 2 j a j. Introduction to Schrödinger Equation: Harmonic Potential 11

13 The approximate solution is a j C (j/2)! for some constant C, and this yields (at large ξ where the higher powers dominate) h(ξ) C (j/2)! ξj C 1 j! ξ2j Ce ξ 2. j j Therefore, if h goes like exp(ξ 2 ), the ψ goes like exp(ξ 2 /2): h(ξ) e ξ2 ψ(ξ) = h(ξ)e ξ2 2 e ξ 2 2 as ξ ±. Therefore, for normalizable solutions, the power series must terminate. Introduction to Schrödinger Equation: Harmonic Potential 12

14 There must occur some highest j (call it n), such that a n+2 = 0. a n+2 = (2n + 1 K) (n + 1)(n + 2) a n = 0 K = 2n + 1. For physically acceptable solutions, K = 2n + 1 = 2E/ hω. The energy level is ( E n = n + 1 ) hω, for n = 0, 1, 2, 3,. (31) 2 For the allowed values of K, the recursion formula reads a j+2 = (2j + 1 (2n + 1)) a j = (j + 1)(j + 2) 2(n j) (j + 1)(j + 2) a j. (32) Introduction to Schrödinger Equation: Harmonic Potential 13

15 If n = 0 (a 1 = 0), there is only one term in the series: h 0 (ξ) = a 0 (33) ψ 0 (ξ) = a 0 e ξ2 2. (34) For n = 1 we take a 0 = 0 and h 1 (ξ) = a 1 ξ (35) ψ 1 (ξ) = a 1 ξe ξ2 2. (36) Introduction to Schrödinger Equation: Harmonic Potential 14

16 For n = 2 (a 1 = 0), a 2 = 2a 0, a 4 = 0, (37) h 2 (ξ) = a 0 + a 2 ξ 2 = a 0 (1 2ξ 2 ) (38) ψ 2 (ξ) = a 0 (1 2ξ 2 )e ξ2 2. (39) In general, h n (ξ) will be a polynomial of degree n in ξ. Apart from the overall factor (a 0 or a 1 ), they are the Hermite polynomials, H n (ξ). By tradition, the arbitrary multiplicative factor is chosen so that the coefficient of the highest power of ξ is 2 n. Introduction to Schrödinger Equation: Harmonic Potential 15

17 Hermite polynomials H 0 = 1 H 1 = 2ξ H 2 = 4ξ 2 2 H 3 = 8ξ 3 12ξ H 4 = 16ξ 4 48ξ H 5 = 32ξ 5 160ξ ξ Introduction to Schrödinger Equation: Harmonic Potential 16

18 The normalized stationary states for the harmonic potential are ψ n (x) = ( mω ) 1/4 1 π h 2n n! H n(ξ)e ξ2 2. (40) The orthonormality condition of the eigenfunctions ψ n (x) and ψ m (x) is ψ n(x)ψ m (x)dx = 1 π 1/2 2 n n! H n (ξ)h m (ξ)e ξ2 dξ = δ nm. (41) Introduction to Schrödinger Equation: Harmonic Potential 17

19 First few eignefunctions Introduction to Schrödinger Equation: Harmonic Potential 18

20 Energy Estimate The time-dependent Schrödinger equation is given by Ψ(x, t) i h t = h2 2 Ψ(x, t) 2m x 2 + V (x, t)ψ(x, t) (42) and its complex conjugate is given by i h Ψ (x, t) t = h2 2 Ψ (x, t) + V (x, t)ψ (x, t). (43) 2m x 2 We multiply Eq. (42) by Ψ (x, t) and multiply Eq. (43) by Ψ(x, t). Then, taking the difference of the two resulting equations gives i h ( ) Ψ t Ψ + Ψ t Ψ = h2 2m ( 2 Ψ x 2 Ψ 2 Ψ ) x Ψ. (44) 2 Introduction to Schrödinger Equation: Harmonic Potential 19

21 t (Ψ Ψ) = i h 2m t Ψ 2 = x ( Ψ 2 Ψ [ i h 2m We integrate the equation over all space: d dt Ψ 2 dx = t Ψ 2 dx = i h 2m ) x Ψ 2 x 2 Ψ 2 ( Ψ Ψ x Ψ x Ψ )] ( ) Ψ Ψ x Ψ x Ψ (45) (46) = 0 (47) It follows that Ψ(x, t) 2 dx = constant = Ψ(x, 0) 2 dx. (48) If Ψ is normalized at t = 0, it stays normalized for all future time. Introduction to Schrödinger Equation: Harmonic Potential 20

22 Reference David J. Griffiths, Introduction to Quantum Mechanics, Prentice Hall, Englewood Cliffs, N.J., Introduction to Schrödinger Equation: Harmonic Potential 21

Quantum Mechanics: Postulates

Quantum Mechanics: Postulates Quantum Mechanics: Postulates 5th April 2010 I. Physical meaning of the Wavefunction Postulate 1: The wavefunction attempts to describe a quantum mechanical entity (photon, electron, x-ray, etc.) through

More information

1 Variational calculation of a 1D bound state

1 Variational calculation of a 1D bound state TEORETISK FYSIK, KTH TENTAMEN I KVANTMEKANIK FÖRDJUPNINGSKURS EXAMINATION IN ADVANCED QUANTUM MECHAN- ICS Kvantmekanik fördjupningskurs SI38 för F4 Thursday December, 7, 8. 13. Write on each page: Name,

More information

FLAP P11.2 The quantum harmonic oscillator

FLAP P11.2 The quantum harmonic oscillator F L E X I B L E L E A R N I N G A P P R O A C H T O P H Y S I C S Module P. Opening items. Module introduction. Fast track questions.3 Ready to study? The harmonic oscillator. Classical description of

More information

1 Lecture 3: Operators in Quantum Mechanics

1 Lecture 3: Operators in Quantum Mechanics 1 Lecture 3: Operators in Quantum Mechanics 1.1 Basic notions of operator algebra. In the previous lectures we have met operators: ˆx and ˆp = i h they are called fundamental operators. Many operators

More information

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

8.04: Quantum Mechanics Professor Allan Adams Massachusetts Institute of Technology. Problem Set 5 8.04: Quantum Mechanics Professor Allan Adams Massachusetts Institute of Technology Tuesday March 5 Problem Set 5 Due Tuesday March 12 at 11.00AM Assigned Reading: E&R 6 9, App-I Li. 7 1 4 Ga. 4 7, 6 1,2

More information

Operator methods in quantum mechanics

Operator methods in quantum mechanics Chapter 3 Operator methods in quantum mechanics While the wave mechanical formulation has proved successful in describing the quantum mechanics of bound and unbound particles, some properties can not be

More information

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

Physics 221A Spring 2016 Notes 1 The Mathematical Formalism of Quantum Mechanics Copyright c 2016 by Robert G. Littlejohn Physics 221A Spring 2016 Notes 1 The Mathematical Formalism of Quantum Mechanics 1. Introduction The prerequisites for Physics 221A include a full year of undergraduate

More information

The Quantum Harmonic Oscillator Stephen Webb

The Quantum Harmonic Oscillator Stephen Webb The Quantum Harmonic Oscillator Stephen Webb The Importance of the Harmonic Oscillator The quantum harmonic oscillator holds a unique importance in quantum mechanics, as it is both one of the few problems

More information

Seminar 4: CHARGED PARTICLE IN ELECTROMAGNETIC FIELD. q j

Seminar 4: CHARGED PARTICLE IN ELECTROMAGNETIC FIELD. q j Seminar 4: CHARGED PARTICLE IN ELECTROMAGNETIC FIELD Introduction Let take Lagrange s equations in the form that follows from D Alembert s principle, ) d T T = Q j, 1) dt q j q j suppose that the generalized

More information

Numerical Methods in Quantum Mechanics

Numerical Methods in Quantum Mechanics Lecture notes Numerical Methods in Quantum Mechanics Corso di Laurea Magistrale in Fisica Interateneo Trieste Udine Anno accademico 2015/2016 Paolo Giannozzi University of Udine Contains software and material

More information

Quantum Mechanics. Dr. N.S. Manton. Michælmas Term 1996. 1 Introduction 1

Quantum Mechanics. Dr. N.S. Manton. Michælmas Term 1996. 1 Introduction 1 Quantum Mechanics Dr. N.S. Manton Michælmas Term 1996 Contents 1 Introduction 1 The Schrödinger Equation 1.1 Probabilistic Interpretation of ψ...................................1.1 Probability Flux and

More information

Oscillations. Vern Lindberg. June 10, 2010

Oscillations. Vern Lindberg. June 10, 2010 Oscillations Vern Lindberg June 10, 2010 You have discussed oscillations in Vibs and Waves: we will therefore touch lightly on Chapter 3, mainly trying to refresh your memory and extend the concepts. 1

More information

The Quantum Theory of the Emission and Absorption of Radiation.

The Quantum Theory of the Emission and Absorption of Radiation. P.A.M. Dirac, Proc. Roy. Soc., A114, 243 1927 The Quantum Theory of the Emission and Absorption of Radiation. P. A. M. Dirac, St. John s College, Cambridge, and Institute for Theoretical Physics, Copenhagen.

More information

Introduction to Complex Numbers in Physics/Engineering

Introduction to Complex Numbers in Physics/Engineering Introduction to Complex Numbers in Physics/Engineering ference: Mary L. Boas, Mathematical Methods in the Physical Sciences Chapter 2 & 14 George Arfken, Mathematical Methods for Physicists Chapter 6 The

More information

Time dependence in quantum mechanics Notes on Quantum Mechanics

Time dependence in quantum mechanics Notes on Quantum Mechanics Time dependence in quantum mechanics Notes on Quantum Mechanics http://quantum.bu.edu/notes/quantummechanics/timedependence.pdf Last updated Thursday, November 20, 2003 13:22:37-05:00 Copyright 2003 Dan

More information

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

PHY4604 Introduction to Quantum Mechanics Fall 2004 Practice Test 3 November 22, 2004 PHY464 Introduction to Quantum Mechanics Fall 4 Practice Test 3 November, 4 These problems are similar but not identical to the actual test. One or two parts will actually show up.. Short answer. (a) Recall

More information

From Wave Mechanics to Matrix Mechanics: The Finite Element Method

From Wave Mechanics to Matrix Mechanics: The Finite Element Method Printed from file Rouen-2/Quantum/finite-elements.tex on November, 2 From Wave Mechanics to Matrix Mechanics: The Finite Element Method Robert Gilmore The Origin of Wave Mechanics Schrödinger originally

More information

5 Numerical Differentiation

5 Numerical Differentiation D. Levy 5 Numerical Differentiation 5. Basic Concepts This chapter deals with numerical approximations of derivatives. The first questions that comes up to mind is: why do we need to approximate derivatives

More information

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

Chapter 22 The Hamiltonian and Lagrangian densities. from my book: Understanding Relativistic Quantum Field Theory. Hans de Vries Chapter 22 The Hamiltonian and Lagrangian densities from my book: Understanding Relativistic Quantum Field Theory Hans de Vries January 2, 2009 2 Chapter Contents 22 The Hamiltonian and Lagrangian densities

More information

221A Lecture Notes Path Integral

221A Lecture Notes Path Integral 1A Lecture Notes Path Integral 1 Feynman s Path Integral Formulation Feynman s formulation of quantum mechanics using the so-called path integral is arguably the most elegant. It can be stated in a single

More information

The quantum mechanics of particles in a periodic potential: Bloch s theorem

The quantum mechanics of particles in a periodic potential: Bloch s theorem Handout 2 The quantum mechanics of particles in a periodic potential: Bloch s theorem 2.1 Introduction and health warning We are going to set up the formalism for dealing with a periodic potential; this

More information

Understanding Poles and Zeros

Understanding Poles and Zeros MASSACHUSETTS INSTITUTE OF TECHNOLOGY DEPARTMENT OF MECHANICAL ENGINEERING 2.14 Analysis and Design of Feedback Control Systems Understanding Poles and Zeros 1 System Poles and Zeros The transfer function

More information

Fourier Analysis. u m, a n u n = am um, u m

Fourier Analysis. u m, a n u n = am um, u m Fourier Analysis Fourier series allow you to expand a function on a finite interval as an infinite series of trigonometric functions. What if the interval is infinite? That s the subject of this chapter.

More information

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

Till now, almost all attention has been focussed on discussing the state of a quantum system. Chapter 13 Observables and Measurements in Quantum Mechanics Till now, almost all attention has been focussed on discussing the state of a quantum system. As we have seen, this is most succinctly done

More information

Math 2280 - Assignment 6

Math 2280 - Assignment 6 Math 2280 - Assignment 6 Dylan Zwick Spring 2014 Section 3.8-1, 3, 5, 8, 13 Section 4.1-1, 2, 13, 15, 22 Section 4.2-1, 10, 19, 28 1 Section 3.8 - Endpoint Problems and Eigenvalues 3.8.1 For the eigenvalue

More information

5 Scalings with differential equations

5 Scalings with differential equations 5 Scalings with differential equations 5.1 Stretched coordinates Consider the first-order linear differential equation df dx + f = 0. Since it is first order, we expect a single solution to the homogeneous

More information

The continuous and discrete Fourier transforms

The continuous and discrete Fourier transforms FYSA21 Mathematical Tools in Science The continuous and discrete Fourier transforms Lennart Lindegren Lund Observatory (Department of Astronomy, Lund University) 1 The continuous Fourier transform 1.1

More information

QUANTIZED INTEREST RATE AT THE MONEY FOR AMERICAN OPTIONS

QUANTIZED INTEREST RATE AT THE MONEY FOR AMERICAN OPTIONS QUANTIZED INTEREST RATE AT THE MONEY FOR AMERICAN OPTIONS L. M. Dieng ( Department of Physics, CUNY/BCC, New York, New York) Abstract: In this work, we expand the idea of Samuelson[3] and Shepp[,5,6] for

More information

Quantum Physics II (8.05) Fall 2013 Assignment 4

Quantum Physics II (8.05) Fall 2013 Assignment 4 Quantum Physics II (8.05) Fall 2013 Assignment 4 Massachusetts Institute of Technology Physics Department Due October 4, 2013 September 27, 2013 3:00 pm Problem Set 4 1. Identitites for commutators (Based

More information

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

- particle with kinetic energy E strikes a barrier with height U 0 > E and width L. - classically the particle cannot overcome the barrier Tunnel Effect: - particle with kinetic energy E strikes a barrier with height U 0 > E and width L - classically the particle cannot overcome the barrier - quantum mechanically the particle can penetrated

More information

(Most of the material presented in this chapter is taken from Thornton and Marion, Chap. 7)

(Most of the material presented in this chapter is taken from Thornton and Marion, Chap. 7) Chapter 4. Lagrangian Dynamics (Most of the material presented in this chapter is taken from Thornton and Marion, Chap. 7 4.1 Important Notes on Notation In this chapter, unless otherwise stated, the following

More information

Digital Signal Processing IIR Filter Design via Impulse Invariance

Digital Signal Processing IIR Filter Design via Impulse Invariance Digital Signal Processing IIR Filter Design via Impulse Invariance D. Richard Brown III D. Richard Brown III 1 / 11 Basic Procedure We assume here that we ve already decided to use an IIR filter. The basic

More information

2.6 The driven oscillator

2.6 The driven oscillator 2.6. THE DRIVEN OSCILLATOR 131 2.6 The driven oscillator We would like to understand what happens when we apply forces to the harmonic oscillator. That is, we want to solve the equation M d2 x(t) 2 + γ

More information

Does Black-Scholes framework for Option Pricing use Constant Volatilities and Interest Rates? New Solution for a New Problem

Does Black-Scholes framework for Option Pricing use Constant Volatilities and Interest Rates? New Solution for a New Problem Does Black-Scholes framework for Option Pricing use Constant Volatilities and Interest Rates? New Solution for a New Problem Gagan Deep Singh Assistant Vice President Genpact Smart Decision Services Financial

More information

Potential Energy Surfaces C. David Sherrill School of Chemistry and Biochemistry Georgia Institute of Technology

Potential Energy Surfaces C. David Sherrill School of Chemistry and Biochemistry Georgia Institute of Technology Potential Energy Surfaces C. David Sherrill School of Chemistry and Biochemistry Georgia Institute of Technology Potential Energy Surfaces A potential energy surface is a mathematical function that gives

More information

An Introduction to Hartree-Fock Molecular Orbital Theory

An Introduction to Hartree-Fock Molecular Orbital Theory An Introduction to Hartree-Fock Molecular Orbital Theory C. David Sherrill School of Chemistry and Biochemistry Georgia Institute of Technology June 2000 1 Introduction Hartree-Fock theory is fundamental

More information

Nonhomogeneous Linear Equations

Nonhomogeneous Linear Equations Nonhomogeneous Linear Equations In this section we learn how to solve second-order nonhomogeneous linear differential equations with constant coefficients, that is, equations of the form ay by cy G x where

More information

Second Order Linear Partial Differential Equations. Part I

Second Order Linear Partial Differential Equations. Part I Second Order Linear Partial Differential Equations Part I Second linear partial differential equations; Separation of Variables; - point boundary value problems; Eigenvalues and Eigenfunctions Introduction

More information

An Introduction to Partial Differential Equations

An Introduction to Partial Differential Equations An Introduction to Partial Differential Equations Andrew J. Bernoff LECTURE 2 Cooling of a Hot Bar: The Diffusion Equation 2.1. Outline of Lecture An Introduction to Heat Flow Derivation of the Diffusion

More information

Bode Diagrams of Transfer Functions and Impedances ECEN 2260 Supplementary Notes R. W. Erickson

Bode Diagrams of Transfer Functions and Impedances ECEN 2260 Supplementary Notes R. W. Erickson Bode Diagrams of Transfer Functions and Impedances ECEN 2260 Supplementary Notes. W. Erickson In the design of a signal processing network, control system, or other analog system, it is usually necessary

More information

Methods of Solution of Selected Differential Equations Carol A. Edwards Chandler-Gilbert Community College

Methods of Solution of Selected Differential Equations Carol A. Edwards Chandler-Gilbert Community College Methods of Solution of Selected Differential Equations Carol A. Edwards Chandler-Gilbert Community College Equations of Order One: Mdx + Ndy = 0 1. Separate variables. 2. M, N homogeneous of same degree:

More information

Wavelet analysis. Wavelet requirements. Example signals. Stationary signal 2 Hz + 10 Hz + 20Hz. Zero mean, oscillatory (wave) Fast decay (let)

Wavelet analysis. Wavelet requirements. Example signals. Stationary signal 2 Hz + 10 Hz + 20Hz. Zero mean, oscillatory (wave) Fast decay (let) Wavelet analysis In the case of Fourier series, the orthonormal basis is generated by integral dilation of a single function e jx Every 2π-periodic square-integrable function is generated by a superposition

More information

Quantum Time: Formalism and Applications

Quantum Time: Formalism and Applications Quantum Time: Formalism and Applications Submitted in partial fulfillment of honors requirements for the Department of Physics and Astronomy, Franklin and Marshall College, by Yuan Gao Professor Calvin

More information

Method of Green s Functions

Method of Green s Functions Method of Green s Functions 8.303 Linear Partial ifferential Equations Matthew J. Hancock Fall 006 We introduce another powerful method of solving PEs. First, we need to consider some preliminary definitions

More information

Applications of Second-Order Differential Equations

Applications of Second-Order Differential Equations Applications of Second-Order Differential Equations Second-order linear differential equations have a variety of applications in science and engineering. In this section we explore two of them: the vibration

More information

Columbia University Department of Physics QUALIFYING EXAMINATION

Columbia University Department of Physics QUALIFYING EXAMINATION Columbia University Department of Physics QUALIFYING EXAMINATION Monday, January 13, 2014 1:00PM to 3:00PM Classical Physics Section 1. Classical Mechanics Two hours are permitted for the completion of

More information

Path Integrals in Quantum Mechanics

Path Integrals in Quantum Mechanics Path Integrals in Quantum Mechanics Dennis V. Perepelitsa MIT Department of Physics 70 Amherst Ave. Cambridge, MA 02142 Abstract We present the path integral formulation of quantum mechanics and demonstrate

More information

a 1 x + a 0 =0. (3) ax 2 + bx + c =0. (4)

a 1 x + a 0 =0. (3) ax 2 + bx + c =0. (4) ROOTS OF POLYNOMIAL EQUATIONS In this unit we discuss polynomial equations. A polynomial in x of degree n, where n 0 is an integer, is an expression of the form P n (x) =a n x n + a n 1 x n 1 + + a 1 x

More information

College of the Holy Cross, Spring 2009 Math 373, Partial Differential Equations Midterm 1 Practice Questions

College of the Holy Cross, Spring 2009 Math 373, Partial Differential Equations Midterm 1 Practice Questions College of the Holy Cross, Spring 29 Math 373, Partial Differential Equations Midterm 1 Practice Questions 1. (a) Find a solution of u x + u y + u = xy. Hint: Try a polynomial of degree 2. Solution. Use

More information

arxiv:1603.01211v1 [quant-ph] 3 Mar 2016

arxiv:1603.01211v1 [quant-ph] 3 Mar 2016 Classical and Quantum Mechanical Motion in Magnetic Fields J. Franklin and K. Cole Newton Department of Physics, Reed College, Portland, Oregon 970, USA Abstract We study the motion of a particle in a

More information

Mutual Inductance and Transformers F3 3. r L = ω o

Mutual Inductance and Transformers F3 3. r L = ω o utual Inductance and Transformers F3 1 utual Inductance & Transformers If a current, i 1, flows in a coil or circuit then it produces a magnetic field. Some of the magnetic flux may link a second coil

More information

CITY UNIVERSITY LONDON. BEng Degree in Computer Systems Engineering Part II BSc Degree in Computer Systems Engineering Part III PART 2 EXAMINATION

CITY UNIVERSITY LONDON. BEng Degree in Computer Systems Engineering Part II BSc Degree in Computer Systems Engineering Part III PART 2 EXAMINATION No: CITY UNIVERSITY LONDON BEng Degree in Computer Systems Engineering Part II BSc Degree in Computer Systems Engineering Part III PART 2 EXAMINATION ENGINEERING MATHEMATICS 2 (resit) EX2005 Date: August

More information

ROUTH S STABILITY CRITERION

ROUTH S STABILITY CRITERION ECE 680 Modern Automatic Control Routh s Stability Criterion June 13, 2007 1 ROUTH S STABILITY CRITERION Consider a closed-loop transfer function H(s) = b 0s m + b 1 s m 1 + + b m 1 s + b m a 0 s n + s

More information

arxiv:1111.4354v2 [physics.acc-ph] 27 Oct 2014

arxiv:1111.4354v2 [physics.acc-ph] 27 Oct 2014 Theory of Electromagnetic Fields Andrzej Wolski University of Liverpool, and the Cockcroft Institute, UK arxiv:1111.4354v2 [physics.acc-ph] 27 Oct 2014 Abstract We discuss the theory of electromagnetic

More information

6. Define log(z) so that π < I log(z) π. Discuss the identities e log(z) = z and log(e w ) = w.

6. Define log(z) so that π < I log(z) π. Discuss the identities e log(z) = z and log(e w ) = w. hapter omplex integration. omplex number quiz. Simplify 3+4i. 2. Simplify 3+4i. 3. Find the cube roots of. 4. Here are some identities for complex conjugate. Which ones need correction? z + w = z + w,

More information

5.61 Fall 2012 Lecture #19 page 1

5.61 Fall 2012 Lecture #19 page 1 5.6 Fall 0 Lecture #9 page HYDROGEN ATOM Consider an arbitrary potential U(r) that only depends on the distance between two particles from the origin. We can write the Hamiltonian simply ħ + Ur ( ) H =

More information

Review of First- and Second-Order System Response 1

Review of First- and Second-Order System Response 1 MASSACHUSETTS INSTITUTE OF TECHNOLOGY DEPARTMENT OF MECHANICAL ENGINEERING 2.151 Advanced System Dynamics and Control Review of First- and Second-Order System Response 1 1 First-Order Linear System Transient

More information

1 Complex Numbers in Quantum Mechanics

1 Complex Numbers in Quantum Mechanics 1 Complex Numbers in Quantum Mechanics Complex numbers and variables can be useful in classical physics. However, they are not essential. To emphasize this, recall that forces, positions, momenta, potentials,

More information

Chapter 15, example problems:

Chapter 15, example problems: Chapter, example problems: (.0) Ultrasound imaging. (Frequenc > 0,000 Hz) v = 00 m/s. λ 00 m/s /.0 mm =.0 0 6 Hz. (Smaller wave length implies larger frequenc, since their product,

More information

BLACK-SCHOLES GOES HYPERGEOMETRIC

BLACK-SCHOLES GOES HYPERGEOMETRIC BLACK-SCHOLES GOES HYPERGEOMETRIC CLAUDIO ALBANESE, GIUSEPPE CAMPOLIETI, PETER CARR, AND ALEXANDER LIPTON ABSTRACT. We introduce a general pricing formula that extends Black-Scholes and contains as particular

More information

Quantum mechanics in one dimension

Quantum mechanics in one dimension Chapter 2 Quantum mechanics in one dimension Following the rules of quantum mechanics, we have seen that the state of a quantum particle, subject to a scalar potential V (r), is described by the time-dependent

More information

Electromagnetism Laws and Equations

Electromagnetism Laws and Equations Electromagnetism Laws and Equations Andrew McHutchon Michaelmas 203 Contents Electrostatics. Electric E- and D-fields............................................. Electrostatic Force............................................2

More information

The integrating factor method (Sect. 2.1).

The integrating factor method (Sect. 2.1). The integrating factor method (Sect. 2.1). Overview of differential equations. Linear Ordinary Differential Equations. The integrating factor method. Constant coefficients. The Initial Value Problem. Variable

More information

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

Three Pictures of Quantum Mechanics. Thomas R. Shafer April 17, 2009 Three Pictures of Quantum Mechanics Thomas R. Shafer April 17, 2009 Outline of the Talk Brief review of (or introduction to) quantum mechanics. 3 different viewpoints on calculation. Schrödinger, Heisenberg,

More information

Lecture 5 Motion of a charged particle in a magnetic field

Lecture 5 Motion of a charged particle in a magnetic field Lecture 5 Motion of a charged particle in a magnetic field Charged particle in a magnetic field: Outline 1 Canonical quantization: lessons from classical dynamics 2 Quantum mechanics of a particle in a

More information

5 Homogeneous systems

5 Homogeneous systems 5 Homogeneous systems Definition: A homogeneous (ho-mo-jeen -i-us) system of linear algebraic equations is one in which all the numbers on the right hand side are equal to : a x +... + a n x n =.. a m

More information

ORDINARY DIFFERENTIAL EQUATIONS

ORDINARY DIFFERENTIAL EQUATIONS ORDINARY DIFFERENTIAL EQUATIONS GABRIEL NAGY Mathematics Department, Michigan State University, East Lansing, MI, 48824. SEPTEMBER 4, 25 Summary. This is an introduction to ordinary differential equations.

More information

19.7. Applications of Differential Equations. Introduction. Prerequisites. Learning Outcomes. Learning Style

19.7. Applications of Differential Equations. Introduction. Prerequisites. Learning Outcomes. Learning Style Applications of Differential Equations 19.7 Introduction Blocks 19.2 to 19.6 have introduced several techniques for solving commonly-occurring firstorder and second-order ordinary differential equations.

More information

Time Ordered Perturbation Theory

Time Ordered Perturbation Theory Michael Dine Department of Physics University of California, Santa Cruz October 2013 Quantization of the Free Electromagnetic Field We have so far quantized the free scalar field and the free Dirac field.

More information

Unit - 6 Vibrations of Two Degree of Freedom Systems

Unit - 6 Vibrations of Two Degree of Freedom Systems Unit - 6 Vibrations of Two Degree of Freedom Systems Dr. T. Jagadish. Professor for Post Graduation, Department of Mechanical Engineering, Bangalore Institute of Technology, Bangalore Introduction A two

More information

Høgskolen i Narvik Sivilingeniørutdanningen STE6237 ELEMENTMETODER. Oppgaver

Høgskolen i Narvik Sivilingeniørutdanningen STE6237 ELEMENTMETODER. Oppgaver Høgskolen i Narvik Sivilingeniørutdanningen STE637 ELEMENTMETODER Oppgaver Klasse: 4.ID, 4.IT Ekstern Professor: Gregory A. Chechkin e-mail: [email protected] Narvik 6 PART I Task. Consider two-point

More information

Second Order Linear Nonhomogeneous Differential Equations; Method of Undetermined Coefficients. y + p(t) y + q(t) y = g(t), g(t) 0.

Second Order Linear Nonhomogeneous Differential Equations; Method of Undetermined Coefficients. y + p(t) y + q(t) y = g(t), g(t) 0. Second Order Linear Nonhomogeneous Differential Equations; Method of Undetermined Coefficients We will now turn our attention to nonhomogeneous second order linear equations, equations with the standard

More information

CBE 6333, R. Levicky 1 Differential Balance Equations

CBE 6333, R. Levicky 1 Differential Balance Equations CBE 6333, R. Levicky 1 Differential Balance Equations We have previously derived integral balances for mass, momentum, and energy for a control volume. The control volume was assumed to be some large object,

More information

2.3. Finding polynomial functions. An Introduction:

2.3. Finding polynomial functions. An Introduction: 2.3. Finding polynomial functions. An Introduction: As is usually the case when learning a new concept in mathematics, the new concept is the reverse of the previous one. Remember how you first learned

More information

Statistical Thermodynamics - Fall 2009. Professor Dmitry Garanin. Statistical physics. October 24, 2012 I. PREFACE

Statistical Thermodynamics - Fall 2009. Professor Dmitry Garanin. Statistical physics. October 24, 2012 I. PREFACE 1 Statistical Thermodynamics - Fall 9 Professor Dmitry Garanin Statistical physics October 4, 1 I. PREFACE Statistical physics considers systems of a large number of entities particles) such as atoms,

More information

Section 4 Molecular Rotation and Vibration

Section 4 Molecular Rotation and Vibration Section 4 Molecular Rotation and Vibration Chapter 3 Treating the full internal nuclear-motion dynamics of a polyatomic molecule is complicated. It is conventional to examine the rotational movement of

More information

Heating & Cooling in Molecular Clouds

Heating & Cooling in Molecular Clouds Lecture 8: Cloud Stability Heating & Cooling in Molecular Clouds Balance of heating and cooling processes helps to set the temperature in the gas. This then sets the minimum internal pressure in a core

More information

Teoretisk Fysik KTH. Advanced QM (SI2380), test questions 1

Teoretisk Fysik KTH. Advanced QM (SI2380), test questions 1 Teoretisk Fysik KTH Advanced QM (SI238), test questions NOTE THAT I TYPED THIS IN A HURRY AND TYPOS ARE POSSIBLE: PLEASE LET ME KNOW BY EMAIL IF YOU FIND ANY (I will try to correct typos asap - if you

More information

Numerical Resolution Of The Schrödinger Equation

Numerical Resolution Of The Schrödinger Equation École Normale Supérieure de Lyon Master Sciences de la Matière 2011 Numerical Analysis Project Numerical Resolution Of The Schrödinger Equation Loren Jørgensen, David Lopes Cardozo, Etienne Thibierge Abstract

More information

2.2 Magic with complex exponentials

2.2 Magic with complex exponentials 2.2. MAGIC WITH COMPLEX EXPONENTIALS 97 2.2 Magic with complex exponentials We don t really know what aspects of complex variables you learned about in high school, so the goal here is to start more or

More information

Using the Impedance Method

Using the Impedance Method Using the Impedance Method The impedance method allows us to completely eliminate the differential equation approach for the determination of the response of circuits. In fact the impedance method even

More information

MA107 Precalculus Algebra Exam 2 Review Solutions

MA107 Precalculus Algebra Exam 2 Review Solutions MA107 Precalculus Algebra Exam 2 Review Solutions February 24, 2008 1. The following demand equation models the number of units sold, x, of a product as a function of price, p. x = 4p + 200 a. Please write

More information

Chapter 20. Vector Spaces and Bases

Chapter 20. Vector Spaces and Bases Chapter 20. Vector Spaces and Bases In this course, we have proceeded step-by-step through low-dimensional Linear Algebra. We have looked at lines, planes, hyperplanes, and have seen that there is no limit

More information

APPLICATIONS. are symmetric, but. are not.

APPLICATIONS. are symmetric, but. are not. CHAPTER III APPLICATIONS Real Symmetric Matrices The most common matrices we meet in applications are symmetric, that is, they are square matrices which are equal to their transposes In symbols, A t =

More information

Common Misconceptions Regarding Quantum Mechanics

Common Misconceptions Regarding Quantum Mechanics Common Misconceptions Regarding Quantum Mechanics Daniel F. Styer Department of Physics Oberlin College Oberlin, Ohio 44074 [email protected] Reprinted from American Journal of Physics 64 (January

More information

HW6 Solutions. MATH 20D Fall 2013 Prof: Sun Hui TA: Zezhou Zhang (David) November 14, 2013. Checklist: Section 7.8: 1c, 2, 7, 10, [16]

HW6 Solutions. MATH 20D Fall 2013 Prof: Sun Hui TA: Zezhou Zhang (David) November 14, 2013. Checklist: Section 7.8: 1c, 2, 7, 10, [16] HW6 Solutions MATH D Fall 3 Prof: Sun Hui TA: Zezhou Zhang David November 4, 3 Checklist: Section 7.8: c,, 7,, [6] Section 7.9:, 3, 7, 9 Section 7.8 In Problems 7.8. thru 4: a Draw a direction field and

More information

1.7. Partial Fractions. 1.7.1. Rational Functions and Partial Fractions. A rational function is a quotient of two polynomials: R(x) = P (x) Q(x).

1.7. Partial Fractions. 1.7.1. Rational Functions and Partial Fractions. A rational function is a quotient of two polynomials: R(x) = P (x) Q(x). .7. PRTIL FRCTIONS 3.7. Partial Fractions.7.. Rational Functions and Partial Fractions. rational function is a quotient of two polynomials: R(x) = P (x) Q(x). Here we discuss how to integrate rational

More information

MATH 425, PRACTICE FINAL EXAM SOLUTIONS.

MATH 425, PRACTICE FINAL EXAM SOLUTIONS. MATH 45, PRACTICE FINAL EXAM SOLUTIONS. Exercise. a Is the operator L defined on smooth functions of x, y by L u := u xx + cosu linear? b Does the answer change if we replace the operator L by the operator

More information

Let s first see how precession works in quantitative detail. The system is illustrated below: ...

Let s first see how precession works in quantitative detail. The system is illustrated below: ... lecture 20 Topics: Precession of tops Nutation Vectors in the body frame The free symmetric top in the body frame Euler s equations The free symmetric top ala Euler s The tennis racket theorem As you know,

More information

SECOND-ORDER LINEAR DIFFERENTIAL EQUATIONS

SECOND-ORDER LINEAR DIFFERENTIAL EQUATIONS SECOND-ORDER LINEAR DIFFERENTIAL EQUATIONS A second-order linear differential equation has the form 1 Px d y dx dy Qx dx Rxy Gx where P, Q, R, and G are continuous functions. Equations of this type arise

More information

5.61 Physical Chemistry 25 Helium Atom page 1 HELIUM ATOM

5.61 Physical Chemistry 25 Helium Atom page 1 HELIUM ATOM 5.6 Physical Chemistry 5 Helium Atom page HELIUM ATOM Now that we have treated the Hydrogen like atoms in some detail, we now proceed to discuss the next simplest system: the Helium atom. In this situation,

More information

Solving DEs by Separation of Variables.

Solving DEs by Separation of Variables. Solving DEs by Separation of Variables. Introduction and procedure Separation of variables allows us to solve differential equations of the form The steps to solving such DEs are as follows: dx = gx).

More information