PROBABILITY AMPLITUDE AND INTERFERENCE

Similar documents
Physics 232 Gauge invariance of the magnetic susceptibilty

Lecture #5. Questions you will by able to answer by the end of today s lecture

3/21/2017. Commuting and Non-commuting Operators Chapter 17. A a

Physics 324, Fall Dirac Notation. These notes were produced by David Kaplan for Phys. 324 in Autumn 2001.

Quantum Mechanics I. 21 April, x=0. , α = A + B = C. ik 1 A ik 1 B = αc.

Assignment 2 Solutions SOLUTION. ϕ 1 Â = 3 ϕ 1 4i ϕ 2. The other case can be dealt with in a similar way. { ϕ 2 Â} χ = { 4i ϕ 1 3 ϕ 2 } χ.

MIDTERM 2 CALCULUS 2. Monday, October 22, 5:15 PM to 6:45 PM. Name PRACTICE EXAM

Similarity between quantum mechanics and thermodynamics: Entropy, temperature, and Carnot cycle

Probability, Expectation Value and Uncertainty

Limitation of Applicability of Einstein s. Energy-Momentum Relationship

The Heisenberg versus the Schrödinger picture in quantum field theory. Dan Solomon Rauland-Borg Corporation 3450 W. Oakton Skokie, IL USA

FREE VIBRATION RESPONSE OF A SYSTEM WITH COULOMB DAMPING

Math 116 Second Midterm November 13, 2017

Kinetics of Complex Reactions

C191 - Lecture 2 - Quantum states and observables

6.003 Homework #3 Solutions

Quantum Information & Quantum Computation

The Scattering Matrix

Building an NMR Quantum Computer

The Wave Function and Quantum Reality

The time evolution of the state of a quantum system is described by the time-dependent Schrödinger equation (TDSE): ( ) ( ) 2m "2 + V ( r,t) (1.

PHYC - 505: Statistical Mechanics Homework Assignment 4 Solutions

STAT 350 Handout 19 Sampling Distribution, Central Limit Theorem (6.6)

5.61 Fall 2013 Problem Set #3

Fall 2018 Exam 3 HAND IN PART 0 10 PIN: 17 INSTRUCTIONS

Taylor Series (BC Only)

DISTRIBUTION LAW Okunev I.V.

10 More general formulation of quantum mechanics

11.1 Radical Expressions and Rational Exponents

MTH 133 Solutions to Exam 2 Nov. 18th 2015

Section 5.5. Infinite Series: The Ratio Test

SNAP Centre Workshop. Basic Algebraic Manipulation

Measures of Spread: Standard Deviation

R is a scalar defined as follows:

Lecture 1 Probability and Statistics

MATH 304: MIDTERM EXAM SOLUTIONS

Analysis of Experimental Data

10-701/ Machine Learning Mid-term Exam Solution

Quiz No. 1. ln n n. 1. Define: an infinite sequence A function whose domain is N 2. Define: a convergent sequence A sequence that has a limit

Physics 2D Lecture Slides Lecture 25: Mar 2 nd

Note: we can take the Real and Imaginary part of the Schrödinger equation and write it in a way similar to the electromagnetic field. p = n!

Name Solutions to Test 2 October 14, 2015

Lecture #3. Math tools covered today

Examine each chart, what connections are there between the ratio!p!n and your findings in Task 2.1.1? Explain your reasoning.

Section 1 of Unit 03 (Pure Mathematics 3) Algebra

II. Descriptive Statistics D. Linear Correlation and Regression. 1. Linear Correlation

Written exam Digital Signal Processing for BMT (8E070). Tuesday November 1, 2011, 09:00 12:00.

Math 116 Final Exam December 19, 2016

Lecture 1 Probability and Statistics

CALCULATION OF FIBONACCI VECTORS

Surveying students understanding of quantum mechanics in one spatial dimension. Guangtian Zhu and Chandralekha Singh

x a x a Lecture 2 Series (See Chapter 1 in Boas)

PHYS-3301 Lecture 10. Wave Packet Envelope Wave Properties of Matter and Quantum Mechanics I CHAPTER 5. Announcement. Sep.

Sequences, Mathematical Induction, and Recursion. CSE 2353 Discrete Computational Structures Spring 2018

Math 113 (Calculus 2) Section 12 Exam 4

Math 116 Second Exam

CALCULATION IN THE FIELD OF SEGMENTAL ROTOR MACHINES TAKING INTO ACCOUNT WINDING HARMONICS AND ROTOR AIRGAP IRREGULARITIES

PLEASE MARK YOUR ANSWERS WITH AN X, not a circle! 1. (a) (b) (c) (d) (e) 3. (a) (b) (c) (d) (e) 5. (a) (b) (c) (d) (e) 7. (a) (b) (c) (d) (e)

MA131 - Analysis 1. Workbook 2 Sequences I

ME 440 Intermediate Vibrations

Chapter 6: Numerical Series

Please do NOT write in this box. Multiple Choice. Total

Infinite Sequences and Series

1 Cabin. Professor: What is. Student: ln Cabin oh Log Cabin! Professor: No. Log Cabin + C = A Houseboat!

RADICAL EXPRESSION. If a and x are real numbers and n is a positive integer, then x is an. n th root theorems: Example 1 Simplify

True Nature of Potential Energy of a Hydrogen Atom

Multiple Groenewold Products: from path integrals to semiclassical correlations

Math 116 Final Exam December 12, 2014

PH 411/511 ECE B(k) Sin k (x) dk (1)

Summary: CORRELATION & LINEAR REGRESSION. GC. Students are advised to refer to lecture notes for the GC operations to obtain scatter diagram.

Exercises and Problems

Math 132, Fall 2009 Exam 2: Solutions

Lecture 25 (Dec. 6, 2017)

Analysis of Experimental Measurements

STP 226 EXAMPLE EXAM #1

Answer Key, Problem Set 1, Written

MATH 2300 review problems for Exam 2

SEQUENCES AND SERIES

Chapter 6 Overview: Sequences and Numerical Series. For the purposes of AP, this topic is broken into four basic subtopics:

5.74 TIME-DEPENDENT QUANTUM MECHANICS

(A) 0 (B) (C) (D) (E) 2.703

The Born-Oppenheimer approximation

Section 11.8: Power Series

Chapter 7: Numerical Series

Math 152 Exam 3, Fall 2005

Sequences I. Chapter Introduction

The Random Walk For Dummies

Question 1: The magnetic case

Polynomial Functions and Their Graphs

The Growth of Functions. Theoretical Supplement

G r a d e 1 1 P r e - C a l c u l u s M a t h e m a t i c s ( 3 0 S )

C. Complex Numbers. x 6x + 2 = 0. This equation was known to have three real roots, given by simple combinations of the expressions

Problem Cosider the curve give parametrically as x = si t ad y = + cos t for» t» ß: (a) Describe the path this traverses: Where does it start (whe t =

Chem Discussion #13 Chapter 10. Correlation diagrams for diatomic molecules. Key

AP Calculus Chapter 9: Infinite Series

September 2012 C1 Note. C1 Notes (Edexcel) Copyright - For AS, A2 notes and IGCSE / GCSE worksheets 1

UNIT 2 DIFFERENT APPROACHES TO PROBABILITY THEORY

MATH 129 FINAL EXAM REVIEW PACKET (Revised Spring 2008)

Measures of Spread: Variance and Standard Deviation

Spring 2016 Exam 2 NAME: PIN:

Transcription:

PROILITY MPLITUDE ND INTERFERENCE I. Probability amplitude Suppose that particle is placed i the ifiite square well potetial. Let the state of the particle be give by ϕ ad let the system s eergy eigestates ad eigevalues be give by ψ ad E, respectively, for =, 2, 3,.. Write the state of particle as a sum of the eergy eigestates of the system. Describe how to determie the coefficiet of each term i this sum. sk a istructor to check your expressio, ad to provide a hadout that icludes the values of the coefficiets i the sum above for a particle. Write a fial expressio for the state of particle i the space below.. Determie the ier product of the state with itself, ϕ ϕ. Show your work. Does your aswer agree with what you expect? Explai.

C. Suppose you were to measure the eergy of particle. Which value would be the most likely outcome of this measuremet? What is the probability of this outcome? Explai. D. Explai why it would be icorrect to say that ψ ϕ is the probability that particle is measured to have eergy E. The ier product, ψ ϕ, betwee a state that represets a particle, such as ϕ, ad a eigestate associated with a observable, such as ψ, is called a probability amplitude. E. Discuss with your group why the term probability amplitude is appropriate for this ier product. F. Suppose that the value of ψ2 ϕ for particle were chaged to 2.. Is the probability amplitude associated with = 2 the same or differet? Explai. 2. Is the probability of measurig E 2 the same or differet? Explai. ü Discuss your aswers with a istructor.

II. Wave fuctios The wave fuctio for particle, ϕ ( x ), is show at right.. Explai how the wave fuctio is related to the probability desity. ϕ (x) Describe how to use the probability desity to determie the probability that a particle is measured withi a small regio of width dx. The wave fuctio for particle ca be writte as the followig ier product: ϕ ( x) = x ϕ, where x is the basis state associated with positio x.. Would it be appropriate to use the term probability amplitude to describe the wave fuctio for particle? Explai. C. The followig statemet is icorrect. Idetify the flaw(s) i the studet s reasoig. Whe I square the probability amplitude for eergy, I get the probability of measurig that eergy. Sice the wave fuctio is also a probability amplitude, the square of the wave fuctio is also a probability. D. Write a expressio for the state of particle, ϕ, i terms of the basis states associated with positio, x. Explai. ü Discuss your aswers with a istructor.

III. Iterferece Cosider three particles (,, ad C) described by the states ϕ = ψ + ψ + ψ ϕ = ψ ψ + ψ, ad ϕ = ψ + i ψ + ψ. C,. Predict (without sketchig) whether the wave fuctios associated with each of these three states will be the same or differet. riefly explai your reasoig.. Predict (without sketchig) whether the probability desities associated with each of these three states will be the same or differet. riefly explai your reasoig. C. I the space below, write a expressio for the probability desity for particle. Show your work. D. Cosider the studet discussio below. Studet : I kow that I have to square the wave fuctio, ϕ ( x) probability desity. This gives me a expressio like is just equal to ϕ ϕ sice x x is the idetity operator. = x ϕ, to get the 2 ( x) = x x, which ϕ ϕ ϕ Studet 2: I disagree. I thik you ca get the probability desity by just squarig the wave fuctio for each term i the state, which is three particles. 2 2 2 ψ() x ψ 3 2 2() x ψ 6 4() x + + for all Studet 3: That s right. Sice we are calculatig the ier product of the state with itself, ϕ ϕ, we ed up with a buch of terms that look like ψ ψ 2, which are zero. ll three studets are icorrect. Idetify the flaws i each studet s reasoig.

E. Revisit your predictios from the previous page. Do you still agree with them? Explai. F. sk a istructor for a hadout showig the wave fuctio ad the associated probability desity for each particle. If your predictios were icorrect, resolve ay icosistecies betwee the hadout ad your aswers o the previous page. Explai. G. Suppose the sig (or the complex phase) of a sigle term i a quatum state writte i the eergy basis is chaged. Idicate whether or ot each of the followig would be differet. Explai.. Probability amplitudes for eergy 2. Probability amplitudes for positio 3. Eergy probabilities 4. The probability desity The results above idicate that i quatum mechaics, probability amplitudes are subject to iterferece. H. Compare the iterferece betwee probability amplitudes i quatum mechaics to other examples of iterferece that you have see (e.g., for pulses o a sprig or for light waves).