A Propagating Wave Packet The Group Velocity

Size: px
Start display at page:

Download "A Propagating Wave Packet The Group Velocity"

Transcription

1 Lecture 7 A Propagating Wave Pacet The Group Velocity Phys 375 Overview and Motivation: Last time we looed at a solution to the Schrödinger equation (SE) with an initial condition (,) that corresponds to a particle initially localized near the origin We saw that (,t) broadens as a function of time, indicating that the particle becomes more delocalized with time, but with an average position that remains at the origin To etend that discussion of a localized wave (pacet) here we loo at a propagating wave pacet The two ey things that we will discuss are the velocity of the wave pacet (this lecture) and its spreading as a function of time (net lecture) As we shall see, both of these quantities are intimately related to the dispersion relation ω ( ) This discussion has applications whenever we have localized, propagating waves, including solutions to the SE and the wave equation (WE) Key Mathematics: Taylor series epansion of the dispersion relation ω ( ) will be central in understanding how the dispersion relation is related to the properties of a propagating wave pacet The Fourier transform is again ey because the localized wave pacet will be described as a linear combination of harmonic waves I A Propagating Schrödinger-Equation Wave Pacet In the last lecture we found the formal solution to the initial value problem for the free particle SE, which can be written as i[ ( ) t ] ( t) = d C( ) e ω,, () π where the coefficients C ( ) are the Fourier transform of the initial condition (,) C π ( ) = d (, ) e i and the dispersion relation (for the SE) is given by h m,, () ω ( ) = (3) The eample that we previously considered was for the initial condition (, ) = e (4) D M Riffe -- 3/3/9

2 Lecture 7 Phys 375 We saw that for increasing positive time (,t) becomes broader (vs ), but its average position remains at the origin (indicating that, on average, the particle is motionless) So you might as, what initial condition would describe a particle initially localized at the origin, but propagating with some average velocity? Well, here is one answer: (, ) e i = e (5) As we will demonstrate you may thin of as some average wave vector (or momentum h through debroglie's relation p = h ) associated with the state (,t) As we did in the last lecture, let's find an epression for (,t) We start by using Eq () to calculate C ( ), so we have i ( de e ) C = π (6) This almost loos lie the Fourier transform of a Gaussian, which we can calculate Indeed, we can mae it be the Fourier transform of a Gaussian if define the variable =, so that the rhs of Eq (6) becomes π d e e i (7) This equals the Gaussian (in the variable ) a 4 e, (8) and now reusing the relation = we can write C ( ) 4 ( ) = e (9) As we stated in the last lecture, the Fourier transform of the Gaussian 4 e e is another Gaussian D M Riffe -- 3/3/9

3 Lecture 7 Phys 375 This equation is telling us something very important It tells us that the coefficients C ( ) are again described by a Gaussian, but it is a Gaussian centered at the wave vector That is, the state (,t) has an average wave vector with a distribution of wave vectors described by the Gaussian in Eq (9) With Eq (9) we can now use Eq () to write ( ) i[ = ( ) t t d e ω, e ], () 4 π eeping in mind that the dispersion relation ω ( ) is given by Eq (3) This loos complicated, so let's loo at some graphs of (,t) to see what is going on with this solution The following figure, which contains snapshots of the video SE Wavepacet 3avi, illustrates (,t) as a function of time (for a positive value of ) Notice that the wave pacet moves in the + direction with a constant velocity Notice also that (,t) is not simply a translation in time of the function (,) That is, the solution is not of the form g( vt), where v is some velocity This can be seen in the video by noticing that the center of the wave pacet travels faster than any of the individual t = t = Re( ( t, )) Im( ( t, )) ( t, ) ( t, ) t = 4 t = Re( ( t, )) Im( ( t, )) ( t, ) ( t, ) D M Riffe -3-3/3/9

4 Lecture 7 oscillation peas Phys 375 II The Group Velocity We now want to determine the velocity of the propagating wave pacet described by Eq () Because this solution (,t) can be thought of as having an average wave vector, you might guess that the velocity is simply the phase velocity v ph = ω( ) evaluated at the average wave vector That is, you might thin that the pacet's velocity is simply the velocity of the normal-mode traveling-wave solution i [ ( ) t, t e ] ω =, () which propagates in the + direction at the phase velocity v ph = ω ( ) = h m However, this is not correct! To figure out the pacet's velocity we must carefully analyze the propagating-pulse solution described by Eq () This solution lends itself to some approimation because part of the integrand, 4 e, is peaed at =, and for values of >> this part of the integrand is nearly zero The importance of this is that we only need to now what ω ( ) is for less than a few times the width parameter a That is, we only need to now what ω ( ) is for values of close to If ω ( ) is does not vary too much for these values of, then it maes sense to approimate ω ( ) by the first few terms of a Taylor series epansion about the point So we write + ω ( ) = ω( ) + ω ( )( ) + ω ( )( ) () If we now approimate ω ( ) in Eq () by the first two terms of the series, ω ( ) ω( ) + ω ( )( ), then we obtain i {[ ω( ) ( ) ] t} ( ) i [ ( ) t, t e d e e ] ω 4 ω (3) π This loos rather messy, but the integral can be calculated eactly to yield [ [ ] ] [ ] ω t ω t, e i t e (4) D M Riffe -4-3/3/9

5 Lecture 7 Phys 375 We can now easily see what is going on This (approimate) solution is the product of i the normal-mode traveling wave solution [ ( ω( ) ) t ], t = e (at the wave vector ), which travels at a speed equal to the phase velocity v ph ω ( ) = (5) (evaluated at ) and a Gaussian "envelope" function [ ω ( ) ] t e, which travels at a speed equal to ω ( ) The derivative ω ( ) is nown as the group velocity v gr dω ( ) = (6) d and so the envelope function, which describes the position of the pacet, travels at the group velocity (evaluated at = ) Note that the group and phase velocities are not necessarily equal The group velocity is typically more important than the phase velocity because the average position of the particle is given by the pea of the envelope function With these definitions of phase and group velocities we can now write Eq (4) as i [ ] [ ] v ph t vgr t a, t e e, (7) where both v ph and v gr are evaluated at the wave vector III Application to the Schrödinger Equation You may have noticed that nothing in the last section was necessarily directly related to the SE That is, Eq (7) can be applied to any situation where general solutions to the problem at hand can be described as a linear combination of harmonic, travelingwave solutions that have a dispersion relation ω ( ) The SE happens to be one of those situations; so let's apply the results of the last section to the SE We simply need to now that for the SE the dispersion relation is h m ω ( ) = (8) From Eq (8) we obtain the phase and the group velocities v ph ( ) = h m and ( ) = m, respectively Notice that the group velocity is twice the phase velocity v gr h D M Riffe -5-3/3/9

6 Lecture 7 Phys 375 This eplains the behavior of the pulse in the video, where the center of the pulse (which travels at v gr ) travels faster than any of the oscillation peas (which travel at v ph ) With the interpretation that Eq () describes a particle with an average momentum p = h, we see that the group velocity corresponds to the result for a classical, nonrelativistic particle v gr = p m IV Application to the Wave Equation We can also apply the results of Sec II to the wave equation Because harmonic traveling waves can also be used as basis functions for solutions to the WE (see Lecture notes ), we can also create a wave-pacet solution to the WE of the form of Eq (7) Again, we simply need to now the dispersion relation ω ( ) = c (9) in order to calculate the phase and group velocities, which are thus v ph ( ) = ω ( ) = c and v gr ( ) = ω ( ) = c, respectively So in this case the two velocities are equal! Then the solution given by Eq (7) becomes t = t = Re( ( t, )) Im( ( t, )) ( t, ) ( t, ) t = t = Re( ( t, )) Im( ( t, )) ( t, ) ( t, ) D M Riffe -6-3/3/9

7 Lecture 7 Phys 375 i [ ] [ ] ct ct a, t = e e () Notice that Eq () is a function of ct, and as such is an eact solution to the wave equation, rather than an approimate solution (as it is for the SE) (Why is that?) The figure on the preceding page shows snapshots of the video WE Wavepacet avi In contrast to the SE solution both the center of the wave pacet and the oscillation peas travel at the same velocity, consistent with the solution being a function of ct Eercises *7 Show that Eq (3) follows from Eq () with the linear Taylor's-series approimation described in the notes *7 Equation () is the Taylor's-series epansion of the dispersion relation about the point = For the dispersion relation appropriate to the WE, find all terms in this epansion Then argue why Eq (), is an eact solution to the WE **73 SE Approimate Solution (a) Calculate the integral on the rhs of Eq (3) and show that Eq (3) simplifies to Eq (4) (Hint: Transform the integral to be the Fourier transform of a Gaussian, and then use the fact that the Fourier transform of e 4 is e ) (b) Show that Eq (4) consistent with Eq (5), the initial condition *74 EM Waves For electromagnetic waves traveling in a dielectric material such as glass the dispersion relation is ω ( ) = ( c n), where n is the inde of refraction, which is often assumed to be a constant (a) If n is indeed a constant, calculate the phase and group velocities for these waves (b) Often, however, the inde of refraction depends upon the wave vector Assuming that n( ) = n + n, find the phase and group velocities (c) For n ( ) given in (b) show that v = v n ( n + n ) [ ] gr ph *75 Calculate * for the approimate wave function given by Eq (7) and show that * travels at the group velocity v gr D M Riffe -7-3/3/9

A Propagating Wave Packet The Group Velocity

A Propagating Wave Packet The Group Velocity Lecture 7 A Propagating Wave Packet The Group Velocity Phys 375 Overview and Motivation: Last time we looked at a solution to the Schrödinger equation (SE) with an initial condition (,) that corresponds

More information

1D Wave Equation General Solution / Gaussian Function

1D Wave Equation General Solution / Gaussian Function D Wave Euation General Solution / Gaussian Function Phys 375 Overview and Motivation: Last time we derived the partial differential euation known as the (one dimensional wave euation Today we look at the

More information

9.8 APPLICATIONS OF TAYLOR SERIES EXPLORATORY EXERCISES. Using Taylor Polynomials to Approximate a Sine Value EXAMPLE 8.1

9.8 APPLICATIONS OF TAYLOR SERIES EXPLORATORY EXERCISES. Using Taylor Polynomials to Approximate a Sine Value EXAMPLE 8.1 9-75 SECTION 9.8.. Applications of Taylor Series 677 and f 0) miles/min 3. Predict the location of the plane at time t min. 5. Suppose that an astronaut is at 0, 0) and the moon is represented by a circle

More information

Separation of Variables in Cartesian Coordinates

Separation of Variables in Cartesian Coordinates Lecture 9 Separation of Variables in Cartesian Coordinates Phs 3750 Overview and Motivation: Toda we begin a more in-depth loo at the 3D wave euation. We introduce a techniue for finding solutions to partial

More information

Let s consider nonrelativistic electrons. A given electron follows Newton s law. m v = ee. (2)

Let s consider nonrelativistic electrons. A given electron follows Newton s law. m v = ee. (2) Plasma Processes Initial questions: We see all objects through a medium, which could be interplanetary, interstellar, or intergalactic. How does this medium affect photons? What information can we obtain?

More information

Plasma Processes. m v = ee. (2)

Plasma Processes. m v = ee. (2) Plasma Processes In the preceding few lectures, we ve focused on specific microphysical processes. In doing so, we have ignored the effect of other matter. In fact, we ve implicitly or explicitly assumed

More information

MA 114 Worksheet #01: Integration by parts

MA 114 Worksheet #01: Integration by parts Fall 8 MA 4 Worksheet Thursday, 3 August 8 MA 4 Worksheet #: Integration by parts. For each of the following integrals, determine if it is best evaluated by integration by parts or by substitution. If

More information

Lecture 4.2 Finite Difference Approximation

Lecture 4.2 Finite Difference Approximation Lecture 4. Finite Difference Approimation 1 Discretization As stated in Lecture 1.0, there are three steps in numerically solving the differential equations. They are: 1. Discretization of the domain by

More information

EP225 Note No. 4 Wave Motion

EP225 Note No. 4 Wave Motion EP5 Note No. 4 Wave Motion 4. Sinusoidal Waves, Wave Number Waves propagate in space in contrast to oscillations which are con ned in limited regions. In describing wave motion, spatial coordinates enter

More information

Taylor Series and Series Convergence (Online)

Taylor Series and Series Convergence (Online) 7in 0in Felder c02_online.te V3 - February 9, 205 9:5 A.M. Page CHAPTER 2 Taylor Series and Series Convergence (Online) 2.8 Asymptotic Epansions In introductory calculus classes the statement this series

More information

Lecture 9: Waves in Classical Physics

Lecture 9: Waves in Classical Physics PHYS419 Lecture 9 Waves in Classical Physics 1 Lecture 9: Waves in Classical Physics If I say the word wave in no particular context, the image which most probably springs to your mind is one of a roughly

More information

Superposition of electromagnetic waves

Superposition of electromagnetic waves Superposition of electromagnetic waves February 9, So far we have looked at properties of monochromatic plane waves. A more complete picture is found by looking at superpositions of many frequencies. Many

More information

Section Differential Equations: Modeling, Slope Fields, and Euler s Method

Section Differential Equations: Modeling, Slope Fields, and Euler s Method Section.. Differential Equations: Modeling, Slope Fields, and Euler s Method Preliminar Eample. Phsical Situation Modeling Differential Equation An object is taken out of an oven and placed in a room where

More information

= 1 2 x (x 1) + 1 {x} (1 {x}). [t] dt = 1 x (x 1) + O (1), [t] dt = 1 2 x2 + O (x), (where the error is not now zero when x is an integer.

= 1 2 x (x 1) + 1 {x} (1 {x}). [t] dt = 1 x (x 1) + O (1), [t] dt = 1 2 x2 + O (x), (where the error is not now zero when x is an integer. Problem Sheet,. i) Draw the graphs for [] and {}. ii) Show that for α R, α+ α [t] dt = α and α+ α {t} dt =. Hint Split these integrals at the integer which must lie in any interval of length, such as [α,

More information

0.1. Linear transformations

0.1. Linear transformations Suggestions for midterm review #3 The repetitoria are usually not complete; I am merely bringing up the points that many people didn t now on the recitations Linear transformations The following mostly

More information

Fourier Analysis Fourier Series C H A P T E R 1 1

Fourier Analysis Fourier Series C H A P T E R 1 1 C H A P T E R Fourier Analysis 474 This chapter on Fourier analysis covers three broad areas: Fourier series in Secs...4, more general orthonormal series called Sturm iouville epansions in Secs..5 and.6

More information

Part 1: Integration problems from exams

Part 1: Integration problems from exams . Find each of the following. ( (a) 4t 4 t + t + (a ) (b ) Part : Integration problems from 4-5 eams ) ( sec tan sin + + e e ). (a) Let f() = e. On the graph of f pictured below, draw the approimating

More information

3.3.1 Linear functions yet again and dot product In 2D, a homogenous linear scalar function takes the general form:

3.3.1 Linear functions yet again and dot product In 2D, a homogenous linear scalar function takes the general form: 3.3 Gradient Vector and Jacobian Matri 3 3.3 Gradient Vector and Jacobian Matri Overview: Differentiable functions have a local linear approimation. Near a given point, local changes are determined by

More information

The Wave Function. Chapter The Harmonic Wave Function

The Wave Function. Chapter The Harmonic Wave Function Chapter 3 The Wave Function On the basis of the assumption that the de Broglie relations give the frequency and wavelength of some kind of wave to be associated with a particle, plus the assumption that

More information

The Fundamental Theorem of Calculus Part 3

The Fundamental Theorem of Calculus Part 3 The Fundamental Theorem of Calculus Part FTC Part Worksheet 5: Basic Rules, Initial Value Problems, Rewriting Integrands A. It s time to find anti-derivatives algebraically. Instead of saying the anti-derivative

More information

Taylor Series and Asymptotic Expansions

Taylor Series and Asymptotic Expansions Taylor Series and Asymptotic Epansions The importance of power series as a convenient representation, as an approimation tool, as a tool for solving differential equations and so on, is pretty obvious.

More information

Computer Problems for Taylor Series and Series Convergence

Computer Problems for Taylor Series and Series Convergence Computer Problems for Taylor Series and Series Convergence The two problems below are a set; the first should be done without a computer and the second is a computer-based follow up. 1. The drawing below

More information

The Wave Function. Chapter The Harmonic Wave Function

The Wave Function. Chapter The Harmonic Wave Function Chapter 3 The Wave Function On the basis of the assumption that the de Broglie relations give the frequency and wavelength of some kind of wave to be associated with a particle, plus the assumption that

More information

Hopf equation In Lecture 1 we considered propagation of sound in a compressible gas with the use of equation,

Hopf equation In Lecture 1 we considered propagation of sound in a compressible gas with the use of equation, Lecture 4 In preceding lectures we discussed dispersion effects defined as a nontrivial dependence of phase velocity of harmonic waves on their wave number. Due to dispersion effects, envelope of a wave

More information

8.2 Solving Quadratic Equations by the Quadratic Formula

8.2 Solving Quadratic Equations by the Quadratic Formula Section 8. Solving Quadratic Equations by the Quadratic Formula 85 8. Solving Quadratic Equations by the Quadratic Formula S Solve Quadratic Equations by Using the Quadratic Formula. Determine the Number

More information

18.303: Introduction to Green s functions and operator inverses

18.303: Introduction to Green s functions and operator inverses 8.33: Introduction to Green s functions and operator inverses S. G. Johnson October 9, 2 Abstract In analogy with the inverse A of a matri A, we try to construct an analogous inverse  of differential

More information

Further factorising, simplifying, completing the square and algebraic proof

Further factorising, simplifying, completing the square and algebraic proof Further factorising, simplifying, completing the square and algebraic proof 8 CHAPTER 8. Further factorising Quadratic epressions of the form b c were factorised in Section 8. by finding two numbers whose

More information

LECTURE # - NEURAL COMPUTATION, Feb 04, Linear Regression. x 1 θ 1 output... θ M x M. Assumes a functional form

LECTURE # - NEURAL COMPUTATION, Feb 04, Linear Regression. x 1 θ 1 output... θ M x M. Assumes a functional form LECTURE # - EURAL COPUTATIO, Feb 4, 4 Linear Regression Assumes a functional form f (, θ) = θ θ θ K θ (Eq) where = (,, ) are the attributes and θ = (θ, θ, θ ) are the function parameters Eample: f (, θ)

More information

3-2 Classical E&M Light Waves In classical electromagnetic theory we express the electric and magnetic fields in a complex form. eg.

3-2 Classical E&M Light Waves In classical electromagnetic theory we express the electric and magnetic fields in a complex form. eg. Chapter-3 Wave Particle Duality 3- Classical EM Light Waves In classical electromagnetic theory we epress the electric and magnetic fields in a comple form. eg. Plane Wave E! B Poynting Vector! S = 1 µ

More information

Physics 1502: Lecture 25 Today s Agenda

Physics 1502: Lecture 25 Today s Agenda Physics 1502: Lecture 25 Today s Agenda Announcements: Midterm 2: NOT Nov. 6 Following week Homework 07: due Friday net week AC current esonances Electromagnetic Waves Mawell s Equations - evised Energy

More information

Central Limit Theorem and the Law of Large Numbers Class 6, Jeremy Orloff and Jonathan Bloom

Central Limit Theorem and the Law of Large Numbers Class 6, Jeremy Orloff and Jonathan Bloom Central Limit Theorem and the Law of Large Numbers Class 6, 8.5 Jeremy Orloff and Jonathan Bloom Learning Goals. Understand the statement of the law of large numbers. 2. Understand the statement of the

More information

Week 1 Lecture: Concepts of Quantum Field Theory (QFT)

Week 1 Lecture: Concepts of Quantum Field Theory (QFT) Wee 1 Lecture: Concepts of Quantum Field Theory QFT Andrew Forrester April 4, 008 Relative Wave-Functional Probabilities This Wee s Questions What are the eact solutions for the Klein-Gordon field? What

More information

Course. Print and use this sheet in conjunction with MathinSite s Maclaurin Series applet and worksheet.

Course. Print and use this sheet in conjunction with MathinSite s Maclaurin Series applet and worksheet. Maclaurin Series Learning Outcomes After reading this theory sheet, you should recognise the difference between a function and its polynomial epansion (if it eists!) understand what is meant by a series

More information

Understanding the Derivative

Understanding the Derivative Chapter 1 Understanding the Derivative 1.1 How do we measure velocity? Motivating Questions In this section, we strive to understand the ideas generated by the following important questions: How is the

More information

Electromagnetic fields and waves

Electromagnetic fields and waves Electromagnetic fields and waves Maxwell s rainbow Outline Maxwell s equations Plane waves Pulses and group velocity Polarization of light Transmission and reflection at an interface Macroscopic Maxwell

More information

Lecture 4.5 Schemes for Parabolic Type Equations

Lecture 4.5 Schemes for Parabolic Type Equations Lecture 4.5 Schemes for Parabolic Type Equations 1 Difference Schemes for Parabolic Equations One-dimensional problems: Consider the unsteady diffusion problem (parabolic in nature) in a thin wire governed

More information

1. Waves and Particles 2. Interference of Waves 3. Wave Nature of Light

1. Waves and Particles 2. Interference of Waves 3. Wave Nature of Light 1. Waves and Particles 2. Interference of Waves 3. Wave Nature of Light 1. Double-Slit Eperiment reading: Chapter 22 2. Single-Slit Diffraction reading: Chapter 22 3. Diffraction Grating reading: Chapter

More information

First Variation of a Functional

First Variation of a Functional First Variation of a Functional The derivative of a function being zero is a necessary condition for the etremum of that function in ordinary calculus. Let us now consider the equivalent of a derivative

More information

Horizontal asymptotes

Horizontal asymptotes Roberto s Notes on Differential Calculus Chapter 1: Limits and continuity Section 5 Limits at infinity and Horizontal asymptotes What you need to know already: The concept, notation and terminology of

More information

Differential Analysis II Lectures 22-24

Differential Analysis II Lectures 22-24 Lecture : 3 April 015 18.156 Differential Analysis II Lectures - Instructor: Larry Guth Trans.: Kevin Sacel.1 Precursor to Schrödinger Equation Suppose we are trying to find u(, t) with u(, 0) = f() satisfying

More information

Exponential, Logarithmic and Inverse Functions

Exponential, Logarithmic and Inverse Functions Chapter Review Sec.1 and. Eponential, Logarithmic and Inverse Functions I. Review o Inverrse I Functti ions A. Identiying One-to-One Functions is one-to-one i every element in the range corresponds to

More information

ECE 487 Lecture 6 : Time-Dependent Quantum Mechanics I Class Outline:

ECE 487 Lecture 6 : Time-Dependent Quantum Mechanics I Class Outline: ECE 487 Lecture 6 : Time-Dependent Quantum Mechanics I Class Outline: Time-Dependent Schrödinger Equation Solutions to thetime-dependent Schrödinger Equation Expansion of Energy Eigenstates Things you

More information

3150 Review Problems for Final Exam. (1) Find the Fourier series of the 2π-periodic function whose values are given on [0, 2π) by cos(x) 0 x π f(x) =

3150 Review Problems for Final Exam. (1) Find the Fourier series of the 2π-periodic function whose values are given on [0, 2π) by cos(x) 0 x π f(x) = 350 Review Problems for Final Eam () Find the Fourier series of the 2π-periodic function whose values are given on [0, 2π) by cos() 0 π f() = 0 π < < 2π (2) Let F and G be arbitrary differentiable functions

More information

Daily Lessons and Assessments for AP* Calculus AB, A Complete Course Page 584 Mark Sparks 2012

Daily Lessons and Assessments for AP* Calculus AB, A Complete Course Page 584 Mark Sparks 2012 The Second Fundamental Theorem of Calculus Functions Defined by Integrals Given the functions, f(t), below, use F( ) f ( t) dt to find F() and F () in terms of.. f(t) = 4t t. f(t) = cos t Given the functions,

More information

PHYS Concept Tests Fall 2009

PHYS Concept Tests Fall 2009 PHYS 30 Concept Tests Fall 009 In classical mechanics, given the state (i.e. position and velocity) of a particle at a certain time instant, the state of the particle at a later time A) cannot be determined

More information

Finite difference modelling, Fourier analysis, and stability

Finite difference modelling, Fourier analysis, and stability Finite difference modelling, Fourier analysis, and stability Peter M. Manning and Gary F. Margrave ABSTRACT This paper uses Fourier analysis to present conclusions about stability and dispersion in finite

More information

LECTURE 4 WAVE PACKETS

LECTURE 4 WAVE PACKETS LECTURE 4 WAVE PACKETS. Comparison between QM and Classical Electrons Classical physics (particle) Quantum mechanics (wave) electron is a point particle electron is wavelike motion described by * * F ma

More information

JUST THE MATHS UNIT NUMBER 7.2. DETERMINANTS 2 (Consistency and third order determinants) A.J.Hobson

JUST THE MATHS UNIT NUMBER 7.2. DETERMINANTS 2 (Consistency and third order determinants) A.J.Hobson JUST THE MATHS UNIT NUMBER 7.2 DETERMINANTS 2 (Consistency and third order determinants) by A.J.Hobson 7.2.1 Consistency for three simultaneous linear equations in two unknowns 7.2.2 The definition of

More information

Explanations of quantum animations Sohrab Ismail-Beigi April 22, 2009

Explanations of quantum animations Sohrab Ismail-Beigi April 22, 2009 Explanations of quantum animations Sohrab Ismail-Beigi April 22, 2009 I ve produced a set of animations showing the time evolution of various wave functions in various potentials according to the Schrödinger

More information

9.1. Solving Quadratic Equations. Investigation: Rocket Science CONDENSED LESSON

9.1. Solving Quadratic Equations. Investigation: Rocket Science CONDENSED LESSON CONDENSED LESSON 9.1 Solving Quadratic Equations In this lesson you will look at quadratic functions that model projectile motion use tables and graphs to approimate solutions to quadratic equations solve

More information

10.7 Polynomial and Rational Inequalities

10.7 Polynomial and Rational Inequalities 10.7 Polynomial and Rational Inequalities In this section we want to turn our attention to solving polynomial and rational inequalities. That is, we want to solve inequalities like 5 4 0. In order to do

More information

+ y = 1 : the polynomial

+ y = 1 : the polynomial Notes on Basic Ideas of Spherical Harmonics In the representation of wavefields (solutions of the wave equation) one of the natural considerations that arise along the lines of Huygens Principle is the

More information

= k, (2) p = h λ. x o = f1/2 o a. +vt (4)

= k, (2) p = h λ. x o = f1/2 o a. +vt (4) Traveling Functions, Traveling Waves, and the Uncertainty Principle R.M. Suter Department of Physics, Carnegie Mellon University Experimental observations have indicated that all quanta have a wave-like

More information

Electromagnetic Waves

Electromagnetic Waves Physics 8 Electromagnetic Waves Overview. The most remarkable conclusion of Maxwell s work on electromagnetism in the 860 s was that waves could exist in the fields themselves, traveling with the speed

More information

Optical Solitons. Lisa Larrimore Physics 116

Optical Solitons. Lisa Larrimore Physics 116 Lisa Larrimore Physics 116 Optical Solitons An optical soliton is a pulse that travels without distortion due to dispersion or other effects. They are a nonlinear phenomenon caused by self-phase modulation

More information

APPLIED OPTICS POLARIZATION

APPLIED OPTICS POLARIZATION A. La Rosa Lecture Notes APPLIED OPTICS POLARIZATION Linearly-polarized light Description of linearly polarized light (using Real variables) Alternative description of linearly polarized light using phasors

More information

General Variation of a Functional

General Variation of a Functional Lecture 15 General Variation of a Functional Transversality conditions Broken etremals Corner conditions ME 256 at the Indian Institute of Science, Bengaluru G. K. Ananthasuresh Professor, Mechanical Engineering,

More information

Solve Wave Equation from Scratch [2013 HSSP]

Solve Wave Equation from Scratch [2013 HSSP] 1 Solve Wave Equation from Scratch [2013 HSSP] Yuqi Zhu MIT Department of Physics, 77 Massachusetts Ave., Cambridge, MA 02139 (Dated: August 18, 2013) I. COURSE INFO Topics Date 07/07 Comple number, Cauchy-Riemann

More information

Basics of Radiation Fields

Basics of Radiation Fields Basics of Radiation Fields Initial questions: How could you estimate the distance to a radio source in our galaxy if you don t have a parallax? We are now going to shift gears a bit. In order to understand

More information

Lecture 4b. Bessel functions. Introduction. Generalized factorial function. 4b.1. Using integration by parts it is easy to show that

Lecture 4b. Bessel functions. Introduction. Generalized factorial function. 4b.1. Using integration by parts it is easy to show that 4b. Lecture 4b Using integration by parts it is easy to show that Bessel functions Introduction In the previous lecture the separation of variables method led to Bessel's equation y' ' y ' 2 y= () 2 Here

More information

Bridging the gap between GCSE and A level mathematics

Bridging the gap between GCSE and A level mathematics Bridging the gap between GCSE and A level mathematics This booklet is designed to help you revise important algebra topics from GCSE and make the transition from GCSE to A level a smooth one. You are advised

More information

Abel Summation MOP 2007, Black Group

Abel Summation MOP 2007, Black Group Abel Summation MOP 007, Blac Group Zachary Abel June 5, 007 This lecture focuses on the Abel Summation formula, which is most often useful as a way to tae advantage of unusual given conditions such as

More information

Integration by substitution

Integration by substitution Roberto s Notes on Integral Calculus Chapter : Integration methods Section 1 Integration by substitution or by change of variable What you need to know already: What an indefinite integral is. The chain

More information

2.13 Linearization and Differentials

2.13 Linearization and Differentials Linearization and Differentials Section Notes Page Sometimes we can approimate more complicated functions with simpler ones These would give us enough accuracy for certain situations and are easier to

More information

Lecture 10: The Schrödinger Equation. Lecture 10, p 2

Lecture 10: The Schrödinger Equation. Lecture 10, p 2 Quantum mechanics is the description of the behavior of matter and light in all its details and, in particular, of the happenings on an atomic scale. Things on a very small scale behave like nothing that

More information

APPLIED OPTICS POLARIZATION

APPLIED OPTICS POLARIZATION A. La Rosa Lecture Notes APPLIED OPTICS POLARIZATION Linearly-polarized light Description of linearly polarized light (using Real variables) Alternative description of linearly polarized light using phasors

More information

Chapter 4. Oscillatory Motion. 4.1 The Important Stuff Simple Harmonic Motion

Chapter 4. Oscillatory Motion. 4.1 The Important Stuff Simple Harmonic Motion Chapter 4 Oscillatory Motion 4.1 The Important Stuff 4.1.1 Simple Harmonic Motion In this chapter we consider systems which have a motion which repeats itself in time, that is, it is periodic. In particular

More information

7.6 Radical Equations and Problem Solving

7.6 Radical Equations and Problem Solving Section 7.6 Radical Equations and Problem Solving 447 Use rational eponents to write each as a single radical epression. 9. 2 4 # 2 20. 25 # 2 3 2 Simplify. 2. 240 22. 2 4 6 7 y 0 23. 2 3 54 4 24. 2 5-64b

More information

Lecture 10: The Schrödinger Equation. Lecture 10, p 2

Lecture 10: The Schrödinger Equation. Lecture 10, p 2 Quantum mechanics is the description of the behavior of matter and light in all its details and, in particular, of the happenings on an atomic scale. Things on a very small scale behave like nothing that

More information

Mathematics Numbers: Absolute Value of Functions I

Mathematics Numbers: Absolute Value of Functions I a place of mind F A C U L T Y O F E D U C A T I O N Department of Curriculum and Pedagogy Mathematics Numbers: Absolute Value of Functions I Science and Mathematics Education Research Group Supported by

More information

Ph.D. Katarína Bellová Page 1 Mathematics 1 (10-PHY-BIPMA1) EXAM SOLUTIONS, 20 February 2018

Ph.D. Katarína Bellová Page 1 Mathematics 1 (10-PHY-BIPMA1) EXAM SOLUTIONS, 20 February 2018 Ph.D. Katarína Bellová Page Mathematics 0-PHY-BIPMA) EXAM SOLUTIONS, 0 February 08 Problem [4 points]: For which positive integers n does the following inequality hold? n! 3 n Solution: Trying first few

More information

Core 1 Inequalities and indices Section 1: Errors and inequalities

Core 1 Inequalities and indices Section 1: Errors and inequalities Notes and Eamples Core Inequalities and indices Section : Errors and inequalities These notes contain subsections on Inequalities Linear inequalities Quadratic inequalities This is an eample resource from

More information

MHF 4U Unit 4 Polynomial Functions Outline

MHF 4U Unit 4 Polynomial Functions Outline MHF 4U Unit 4 Polynomial Functions Outline Day Lesson Title Specific Epectations Transforming Trigonometric Functions B.4,.5, 3. Transforming Sinusoidal Functions B.4,.5, 3. 3 Transforming Sinusoidal Functions

More information

Graphing and Optimization

Graphing and Optimization BARNMC_33886.QXD //7 :7 Page 74 Graphing and Optimization CHAPTER - First Derivative and Graphs - Second Derivative and Graphs -3 L Hôpital s Rule -4 Curve-Sketching Techniques - Absolute Maima and Minima

More information

AP Calculus AB Information and Summer Assignment

AP Calculus AB Information and Summer Assignment AP Calculus AB Information and Summer Assignment General Information: Competency in Algebra and Trigonometry is absolutely essential. The calculator will not always be available for you to use. Knowing

More information

Solved problems: (Power) series 1. Sum up the series (if it converges) 3 k+1 a) 2 2k+5 ; b) 1. k(k + 1).

Solved problems: (Power) series 1. Sum up the series (if it converges) 3 k+1 a) 2 2k+5 ; b) 1. k(k + 1). Power series: Solved problems c phabala 00 3 Solved problems: Power series. Sum up the series if it converges 3 + a +5 ; b +.. Investigate convergence of the series a e ; c ; b 3 +! ; d a, where a 3. Investigate

More information

y sin n x dx cos x sin n 1 x n 1 y sin n 2 x cos 2 x dx y sin n xdx cos x sin n 1 x n 1 y sin n 2 x dx n 1 y sin n x dx

y sin n x dx cos x sin n 1 x n 1 y sin n 2 x cos 2 x dx y sin n xdx cos x sin n 1 x n 1 y sin n 2 x dx n 1 y sin n x dx SECTION 7. INTEGRATION BY PARTS 57 EXAPLE 6 Prove the reduction formula N Equation 7 is called a reduction formula because the eponent n has been reduced to n and n. 7 sin n n cos sinn n n sin n where

More information

Review Sheet for Exam 1 SOLUTIONS

Review Sheet for Exam 1 SOLUTIONS Math b Review Sheet for Eam SOLUTIONS The first Math b midterm will be Tuesday, February 8th, 7 9 p.m. Location: Schwartz Auditorium Room ) The eam will cover: Section 3.6: Inverse Trig Appendi F: Sigma

More information

5.74 Introductory Quantum Mechanics II

5.74 Introductory Quantum Mechanics II MIT OpenCourseWare http://ocw.mit.edu 5.74 Introductory Quantum Mechanics II Spring 2009 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms. p. 10-0 10..

More information

Homework 1 2/7/2018 SOLUTIONS Exercise 1. (a) Graph the following sets (i) C = {x R x in Z} Answer:

Homework 1 2/7/2018 SOLUTIONS Exercise 1. (a) Graph the following sets (i) C = {x R x in Z} Answer: Homework 1 2/7/2018 SOLTIONS Eercise 1. (a) Graph the following sets (i) C = { R in Z} nswer: 0 R (ii) D = {(, y), y in R,, y 2}. nswer: = 2 y y = 2 (iii) C C nswer: y 1 2 (iv) (C C) D nswer: = 2 y y =

More information

Review Algebra and Functions & Equations (10 questions)

Review Algebra and Functions & Equations (10 questions) Paper 1 Review No calculator allowed [ worked solutions included ] 1. Find the set of values of for which e e 3 e.. Given that 3 k 1 is positive for all values of, find the range of possible values for

More information

The Chain Rule. This is a generalization of the (general) power rule which we have already met in the form: then f (x) = r [g(x)] r 1 g (x).

The Chain Rule. This is a generalization of the (general) power rule which we have already met in the form: then f (x) = r [g(x)] r 1 g (x). The Chain Rule This is a generalization of the general) power rule which we have already met in the form: If f) = g)] r then f ) = r g)] r g ). Here, g) is any differentiable function and r is any real

More information

y sec 3 x dx sec x tan x y sec x tan 2 x dx y sec 3 x dx 1 2(sec x tan x ln sec x tan x ) C

y sec 3 x dx sec x tan x y sec x tan 2 x dx y sec 3 x dx 1 2(sec x tan x ln sec x tan x ) C SECTION 7. TRIGONOETRIC INTEGRLS 465 Then sec 3 sec tan sec tan sec tan sec sec sec tan sec 3 sec Using ormula and solving for the required integral, we get sec 3 (sec tan ln sec tan ) C Integrals such

More information

6 = 1 2. The right endpoints of the subintervals are then 2 5, 3, 7 2, 4, 2 9, 5, while the left endpoints are 2, 5 2, 3, 7 2, 4, 9 2.

6 = 1 2. The right endpoints of the subintervals are then 2 5, 3, 7 2, 4, 2 9, 5, while the left endpoints are 2, 5 2, 3, 7 2, 4, 9 2. 5 THE ITEGRAL 5. Approimating and Computing Area Preliminar Questions. What are the right and left endpoints if [, 5] is divided into si subintervals? If the interval [, 5] is divided into si subintervals,

More information

2 Generating Functions

2 Generating Functions 2 Generating Functions In this part of the course, we re going to introduce algebraic methods for counting and proving combinatorial identities. This is often greatly advantageous over the method of finding

More information

FIBER OPTICS. Prof. R.K. Shevgaonkar. Department of Electrical Engineering. Indian Institute of Technology, Bombay. Lecture: 15. Optical Sources-LASER

FIBER OPTICS. Prof. R.K. Shevgaonkar. Department of Electrical Engineering. Indian Institute of Technology, Bombay. Lecture: 15. Optical Sources-LASER FIBER OPTICS Prof. R.K. Shevgaonkar Department of Electrical Engineering Indian Institute of Technology, Bombay Lecture: 15 Optical Sources-LASER Fiber Optics, Prof. R.K. Shevgaonkar, Dept. of Electrical

More information

P3317 HW from Lecture and Recitation 10

P3317 HW from Lecture and Recitation 10 P3317 HW from Lecture 18+19 and Recitation 10 Due Nov 6, 2018 Problem 1. Equipartition Note: This is a problem from classical statistical mechanics. We will need the answer for the next few problems, and

More information

Sparsity. The implication is that we would like to find ways to increase efficiency of LU decomposition.

Sparsity. The implication is that we would like to find ways to increase efficiency of LU decomposition. Sparsity. Introduction We saw in previous notes that the very common problem, to solve for the n vector in A b ( when n is very large, is done without inverting the n n matri A, using LU decomposition.

More information

LECTURE 23: LIGHT. Propagation of Light Huygen s Principle

LECTURE 23: LIGHT. Propagation of Light Huygen s Principle LECTURE 23: LIGHT Propagation of Light Reflection & Refraction Internal Reflection Propagation of Light Huygen s Principle Each point on a primary wavefront serves as the source of spherical secondary

More information

Derivatives of Multivariable Functions

Derivatives of Multivariable Functions Chapter 0 Derivatives of Multivariable Functions 0. Limits Motivating Questions In this section, we strive to understand the ideas generated b the following important questions: What do we mean b the limit

More information

Chapter 6. Legendre and Bessel Functions

Chapter 6. Legendre and Bessel Functions Chapter 6 Legendre and Bessel Functions Legendre's Equation Legendre's Equation (order n): legendre d K y''k y'c n n C y = : is an important ode in applied mathematics When n is a non-negative integer,

More information

Gaussian integrals. Calvin W. Johnson. September 9, The basic Gaussian and its normalization

Gaussian integrals. Calvin W. Johnson. September 9, The basic Gaussian and its normalization Gaussian integrals Calvin W. Johnson September 9, 24 The basic Gaussian and its normalization The Gaussian function or the normal distribution, ep ( α 2), () is a widely used function in physics and mathematical

More information

Euler-Maclaurin summation formula

Euler-Maclaurin summation formula Physics 4 Spring 6 Euler-Maclaurin summation formula Lecture notes by M. G. Rozman Last modified: March 9, 6 Euler-Maclaurin summation formula gives an estimation of the sum N in f i) in terms of the integral

More information

6.2 Properties of Logarithms

6.2 Properties of Logarithms 6. Properties of Logarithms 437 6. Properties of Logarithms In Section 6.1, we introduced the logarithmic functions as inverses of eponential functions and discussed a few of their functional properties

More information

Advanced Optical Communications Prof. R. K. Shevgaonkar Department of Electrical Engineering Indian Institute of Technology, Bombay

Advanced Optical Communications Prof. R. K. Shevgaonkar Department of Electrical Engineering Indian Institute of Technology, Bombay Advanced Optical Communications Prof. R. K. Shevgaonkar Department of Electrical Engineering Indian Institute of Technology, Bombay Lecture No. # 15 Laser - I In the last lecture, we discussed various

More information

PY 351 Modern Physics - Lecture notes, 3

PY 351 Modern Physics - Lecture notes, 3 PY 351 Modern Physics - Lecture notes, 3 Copyright by Claudio Rebbi, Boston University, October 2016. These notes cannot be duplicated and distributed without explicit permission of the author. Time dependence

More information

Section Inverse Trigonometry. In this section, we will define inverse since, cosine and tangent functions. x is NOT one-to-one.

Section Inverse Trigonometry. In this section, we will define inverse since, cosine and tangent functions. x is NOT one-to-one. Section 5.4 - Inverse Trigonometry In this section, we will define inverse since, cosine and tangent functions. RECALL Facts about inverse functions: A function f ) is one-to-one if no two different inputs

More information

9. TRANSFORMING TOOL #2 (the Multiplication Property of Equality)

9. TRANSFORMING TOOL #2 (the Multiplication Property of Equality) 9 TRANSFORMING TOOL # (the Multiplication Property of Equality) a second transforming tool THEOREM Multiplication Property of Equality In the previous section, we learned that adding/subtracting the same

More information

Electromagnetic Waves

Electromagnetic Waves Electromagnetic Waves Our discussion on dynamic electromagnetic field is incomplete. I H E An AC current induces a magnetic field, which is also AC and thus induces an AC electric field. H dl Edl J ds

More information

Sections 5.1: Areas and Distances

Sections 5.1: Areas and Distances Sections.: Areas and Distances In this section we shall consider problems closely related to the problems we considered at the beginning of the semester (the tangent and velocity problems). Specifically,

More information