The Quantum Theory of Atoms and Molecules: The Schrodinger equation. Hilary Term 2008 Dr Grant Ritchie

Similar documents
III. Direct evolution of the density: The Liouville Operator

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle

F (u) du. or f(t) = t

28. Quantum Physics Black-Body Radiation and Plank s Theory

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n

Two Coupled Oscillators / Normal Modes

2.3 SCHRÖDINGER AND HEISENBERG REPRESENTATIONS

Homework Solution Set # 3. Thursday, September 22, Textbook: Claude Cohen Tannoudji, Bernard Diu and Franck Lalo, Second Volume Complement G X

Comparison between the Discrete and Continuous Time Models

Linear Response Theory: The connection between QFT and experiments

( ) = Q 0. ( ) R = R dq. ( t) = I t

27.1 The Heisenberg uncertainty principles

Scattering and Decays from Fermi s Golden Rule including all the s and c s

2. Nonlinear Conservation Law Equations

Class Meeting # 10: Introduction to the Wave Equation

The expectation value of the field operator.

KEY. Math 334 Midterm I Fall 2008 sections 001 and 003 Instructor: Scott Glasgow

Vehicle Arrival Models : Headway

THE SINE INTEGRAL. x dt t

Lecture 2-1 Kinematics in One Dimension Displacement, Velocity and Acceleration Everything in the world is moving. Nothing stays still.

IB Physics Kinematics Worksheet

TMA4329 Intro til vitensk. beregn. V2017

Lecture 9: Advanced DFT concepts: The Exchange-correlation functional and time-dependent DFT

Second quantization and gauge invariance.

7.3. QUANTUM MECHANICAL TREATMENT OF FLUCTUATIONS: THE ENERGY GAP HAMILTONIAN

THE MYSTERY OF STOCHASTIC MECHANICS. Edward Nelson Department of Mathematics Princeton University

( ) = b n ( t) n " (2.111) or a system with many states to be considered, solving these equations isn t. = k U I ( t,t 0 )! ( t 0 ) (2.

Basic Circuit Elements Professor J R Lucas November 2001

Wave Mechanics. January 16, 2017

From Particles to Rigid Bodies

Wall. x(t) f(t) x(t = 0) = x 0, t=0. which describes the motion of the mass in absence of any external forcing.

ψ(t) = V x (0)V x (t)

02. MOTION. Questions and Answers

ψ ( t) = c n ( t) t n ( )ψ( ) t ku t,t 0 ψ I V kn

Solutions to Assignment 1

The Arcsine Distribution

Differential Equations

Some Basic Information about M-S-D Systems

On Option Pricing by Quantum Mechanics Approach

Linear Surface Gravity Waves 3., Dispersion, Group Velocity, and Energy Propagation

Kinematics Vocabulary. Kinematics and One Dimensional Motion. Position. Coordinate System in One Dimension. Kinema means movement 8.

ln y t 2 t c where c is an arbitrary real constant

Chapter Q1. We need to understand Classical wave first. 3/28/2004 H133 Spring

EE 315 Notes. Gürdal Arslan CLASS 1. (Sections ) What is a signal?

Additional Exercises for Chapter What is the slope-intercept form of the equation of the line given by 3x + 5y + 2 = 0?

û s L u t 0 s a ; i.e., û s 0

Hamilton- J acobi Equation: Weak S olution We continue the study of the Hamilton-Jacobi equation:

MEI STRUCTURED MATHEMATICS 4758

Mathematics Paper- II

Non-uniform circular motion *

where the coordinate X (t) describes the system motion. X has its origin at the system static equilibrium position (SEP).

(1) (2) Differentiation of (1) and then substitution of (3) leads to. Therefore, we will simply consider the second-order linear system given by (4)

Random variables. A random variable X is a function that assigns a real number, X(ζ), to each outcome ζ in the sample space of a random experiment.

CHAPTER 2 Signals And Spectra

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon

F This leads to an unstable mode which is not observable at the output thus cannot be controlled by feeding back.

Physics 127b: Statistical Mechanics. Fokker-Planck Equation. Time Evolution

ME 391 Mechanical Engineering Analysis

Lecture 4 Kinetics of a particle Part 3: Impulse and Momentum

Errata (1 st Edition)

Chapter 2. Models, Censoring, and Likelihood for Failure-Time Data

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes

Plasma Astrophysics Chapter 3: Kinetic Theory. Yosuke Mizuno Institute of Astronomy National Tsing-Hua University

EXERCISES FOR SECTION 1.5

THE CATCH PROCESS (continued)

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities:

PROBLEMS FOR MATH 162 If a problem is starred, all subproblems are due. If only subproblems are starred, only those are due. SLOPES OF TANGENT LINES

10. State Space Methods

ECE 2100 Circuit Analysis

Wave Motion Sections 1,2,4,5, I. Outlook II. What is wave? III.Kinematics & Examples IV. Equation of motion Wave equations V.

ANALYSIS OF LINEAR AND NONLINEAR EQUATION FOR OSCILLATING MOVEMENT

( ) ( ) if t = t. It must satisfy the identity. So, bulkiness of the unit impulse (hyper)function is equal to 1. The defining characteristic is

ψ ( t) = c n ( t ) n

Ann. Funct. Anal. 2 (2011), no. 2, A nnals of F unctional A nalysis ISSN: (electronic) URL:

Physics for Scientists & Engineers 2

Today in Physics 218: radiation reaction

Chapter 2. First Order Scalar Equations

Traveling Waves. Chapter Introduction

Theory of! Partial Differential Equations!

Final Spring 2007

An Introduction to Malliavin calculus and its applications

Stochastic Structural Dynamics. Lecture-6

Guest Lectures for Dr. MacFarlane s EE3350 Part Deux

1 1 + x 2 dx. tan 1 (2) = ] ] x 3. Solution: Recall that the given integral is improper because. x 3. 1 x 3. dx = lim dx.

Numerical Dispersion

Announcements: Warm-up Exercise:

Theory of! Partial Differential Equations-I!

15. Vector Valued Functions

Lecture 20: Riccati Equations and Least Squares Feedback Control

6. Stochastic calculus with jump processes

Continuous Time. Time-Domain System Analysis. Impulse Response. Impulse Response. Impulse Response. Impulse Response. ( t) + b 0.

Sensors, Signals and Noise

Homogenization of random Hamilton Jacobi Bellman Equations

On two general nonlocal differential equations problems of fractional orders

Sterilization D Values

AP Chemistry--Chapter 12: Chemical Kinetics

ES.1803 Topic 22 Notes Jeremy Orloff

8. Basic RL and RC Circuits

This document was generated at 1:04 PM, 09/10/13 Copyright 2013 Richard T. Woodward. 4. End points and transversality conditions AGEC

Structural Dynamics and Earthquake Engineering

Transcription:

e Quanum eory of Aoms and Molecules: e Scrodinger equaion Hilary erm 008 Dr Gran Ricie

An equaion for maer waves? De Broglie posulaed a every paricles as an associaed wave of waveleng: / p Wave naure of maer confirmed by elecron diffracion sudies ec see earlier. If maer as wave-like properies en ere mus be a maemaical funcion a is e soluion o a differenial equaion a describes elecrons aoms and molecules. e differenial equaion is called e Scrödinger equaion and is soluion is called e wavefuncion Ψ.

e classical wave equaion We ave seen previously a e wave equaion in 1 d is: 1 v Can is be used for maer waves in free space? ry a soluion: e.g. i k e No correc For a free paricle we know a Ep /m.

An alernaive. ry a modified wave equaion of e following ype: α is a consan Now ry same soluion as before: e.g. i k e Hence e equaion for maer waves in free space is: i m For i k e en we ave k m wic as e form: KE wavefuncion oal energy wavefuncion

e ime-dependen Scrödinger equaion For a paricle in a poenial en p E m and we ave KE PE wavefuncion oal energy wavefuncion i m DSE Poins of noe: 1. e DSE is one of e posulaes of quanum mecanics. oug e SE canno be derived i as been sown o be consisen wi all eperimens.. SE is firs order wi respec o ime cf. classical wave equaion. 3. SE involves e comple number i and so is soluions are essenially comple. is is differen from classical waves were comple numbers are used imply for convenience see laer.

e Hamilonian operaor $ % % & ' H m m ˆ ˆ ˆ ˆ m p m H $ $ % & ' ' i p ˆ LHS of DSE can be wrien as: were Ĥ is called e Hamilonian operaor wic is e differenial operaor a represens e oal energy of e paricle. us were e momenum operaor is us sorand for DSE is: i H ˆ

Solving e DSE m i Suppose e poenial is independen of ime i.e. en DSE is: LHS involves variaion of ψ wi wile RHS involves variaion of ψ wi. Hence look for a separaed soluion: i m en Now divide by ψ : i m 1 1 LHS depends only upon RHS only on. rue for all and so bo sides mus equal a consan E E separaion consan. us we ave: E m E i 1 1

ime-independen Scrödinger equaion Solving e ime equaion: i 1 d d ie ie / d E d Ae is is eacly like a wave e -iω wi E ћω. erefore depends upon e energy E. o find ou wa e energy acually is we mus solve e space par of e problem... e space equaion becomes E or Hˆ E m is is e ime independen Scrödinger equaion ISE. e ISE can be very difficul o solve i depends upon

Eigenvalue equaions e Scrödinger Equaion is e form of an Eigenvalue Equaion: H E were Ĥ is e Hamilonian operaor ψ is e wavefuncion and is an eigenfuncion of Ĥ; ˆ ˆ ˆ d H m d E is e oal energy and an eigenvalue of Ĥ. E is jus a consan ˆ Laer in e course we will see a e eigenvalues of an operaor give e possible resuls a can be obained wen e corresponding pysical quaniy is measured.

ISE for a free-paricle For a free paricle 0 and ISE is: and as soluions e ik or e E m ik were E k m us e full soluion o e full DSE is: i ± k E / e Corresponds o waves ravelling in eier ± direcion wi: i an angular frequency ω E / ћ E ћ ω ii a wavevecor k me 1/ / ћ p / ћ p / λ WAE-PARICLE DUALIY

Inerpreaion of Ψ As menioned previously e DSE as soluions a are inerenly comple Ψ canno be a pysical wave e.g. elecromagneic waves. erefore ow can Ψ relae o real pysical measuremens on a sysem? e Born Inerpreaion Probabiliy of finding a paricle in a small leng d a posiion and ime is equal o * d d P d Ψ*Ψ is real as required for a probabiliy disribuion and is e probabiliy per uni leng or volume in 3d. e Born inerpreaion erefore calls Ψ e probabiliy ampliude Ψ*Ψ P e probabiliy densiy and Ψ*Ψ d e probabiliy.

Epecaion values us if we know Ψ a soluion of DSE en knowledge of Ψ*Ψ d allows e average posiion o be calculaed: i P i In e limi a δ 0 en e summaion becomes: i P d $ d e average is also know as e epecaion value and are very imporan in quanum mecanics as ey provide us wi e average values of pysical properies because in many cases precise values canno even in principle be deermined see laer. Similarly P d $ d

Normalisaion oal probabiliy of finding a paricle anywere mus be 1: P d $ d 1 is requiremen is known as e Normalisaion condiion. is condiion arises because e SE is linear in Ψ and erefore if Ψ is a soluion of DSE en so is cψ were c is a consan. Hence if original unnormalised wavefuncion is Ψ en e normalisaion inegral is: N $ d And e re-scaled normalised wavefuncion Ψ norm 1/N Ψ. Eample 1: Wa value of N normalises e funcion N - L of 0 L? Eample : Find e probabiliy a a sysem described by e funcion 1/ sin π were 0 1 is found anywere in e inerval 0 0.5.

Boundary condiions for Ψ In order for ψ o be a soluion of e Scrödinger equaion o represen a pysically observable sysem ψ mus saisfy cerain consrains: 1. Mus be a single-valued funcion of and ;. Mus be normalisable; is implies a e ψ 0 as ; 3. ψ mus be a coninuous funcion of ; 4. e slope of ψ mus be coninuous specifically dψ /d mus be coninuous ecep a poins were poenial is infinie. Ψ Ψ Ψ Ψ

Saionary saes Earlier in e lecure we saw a even wen e poenial is independen of ime e wavefuncion sill oscillaes in ime: Soluion o e full DSE is: e ie / Bu probabiliy disribuion is saic: ie / ie / P * e e us a soluion of e ISE is known as a Saionary Sae.

Summary i m d P d d * $ 1 d d P DSE: Born inerpreaion: Normalisaion: ISE: E H E m ˆ or / ie e Boundary condiions on wavefuncion: single-valued coninuous normalisable coninuous firs derivaive.

I s never as bad as i seems.