Fourier transform. * The Fourier transform of a function f(x) is defined as

Size: px
Start display at page:

Download "Fourier transform. * The Fourier transform of a function f(x) is defined as"

Transcription

1 V Fourier transform 5-1 definition of Fourier Transform * The Fourier transform of a function f(x) is defined as The inverse Fourier transform,, is defined so that * For more than one dimension,the Fourier transform of a function f(x,y,z) Note that, i. e. can be considered as a scalar product of and, if the unit vectors of and form an orthonormal set. Therefore,,

2 and the vector may be considered as a vector in Fourier transform space * The inverse Fourier transform in 3-D space Consider the diffraction from a single slit y b 2 P b 2 x z The result from a single slit Where

3 The expression is the same as Fourier transform. 5-2 Dirac delta function derivation derivation: Note that Therefore,

4 Set, This leads to Similarly, Note that Therefore, Set, This leads to Comparing with This indicates that exhibits a character

5 5-3 A number of general relationships may be written for any function f(x),real or complex. Real space f(-x) f(x) Fourier transform space f(ax) f(x)+g(x) F(x-a) Examples: (1) Set X=ax Then (2) Set X=x-a Then

6 (3) Then

7 5-4 Fourier transform and diffraction (i) point source or point aperture A small aperture in one dimension can be described as or. The Fourier transform used to derive Fraunhofer diffraction pattern is illustrated below. For The intensity is proportional For Set X=x-a Then The intensity is proportional Remarks: The difference between the point source at x=0 and x=a is the phase difference.

8 (ii) a slit function c.f. the kinematic diffraction from a slit if (Fraunhofer approximation)

9 , where From the similarity,we obtain is equivalent to Therefore is equivalent to

10 (iii) a periodic array of narrow slits f(x) -4a -3a -2a -a 0 a 2a 3a 4a x The Fourier transform is Since

11 Discussion for for It occurs at the condition,where h is an integer. In other words, note that Proof: Set

12 Therefore The Fourier transform of f(x) can be expressed as, where Hence, the Fourier transform is a set of equally spaced delta functions of a period Similarly,a periodic 3-D lattice in real space; (a,b,c) This is equivalent to a periodic lattice in reciprocal lattice ( a 1, b 1, c 1 )

13 (iv) Arbitary periodic function For an arbitrary periodic function Then Hence,the ;i.e. diffracted amplitude, is represented by a set of delta functions equally spaced with separation a 1 and each delta function has weight that is equal to the Fourier coefficient.

14 Supplement # 1 Fourier transform of a Gaussian function is also a Gaussian function. Suppose that f(x) is a Gaussian function Then define Standard deviation is defined as the range of the variable (x or u) over which the function drops by a factor of of its maximum value. Set

15 Hence c.f.

16 Fourier transform of a Gaussian function x x 2 f( a x) e a2 f( 2 x) f( 8 x) x u f( a u) a e 1 2 u 2 a 2 f( 2 u) f( 8 u) u

17 Supplement #2 Definitions in diffraction * Fourier transform and inverse Fourier transform System1: System2: System3: System4: System5: System6:

18 * relationship among Fourier transform, reciprocal lattice, and diffraction condition. System Reciprocal lattice Diffraction condition 1, 4 2, 3 5, 6

There and back again A short trip to Fourier Space. Janet Vonck 23 April 2014

There and back again A short trip to Fourier Space. Janet Vonck 23 April 2014 There and back again A short trip to Fourier Space Janet Vonck 23 April 2014 Where can I find a Fourier Transform? Fourier Transforms are ubiquitous in structural biology: X-ray diffraction Spectroscopy

More information

Fourier Optics - Exam #1 Review

Fourier Optics - Exam #1 Review Fourier Optics - Exam #1 Review Ch. 2 2-D Linear Systems A. Fourier Transforms, theorems. - handout --> your note sheet B. Linear Systems C. Applications of above - sampled data and the DFT (supplement

More information

DIFFRACTION PHYSICS THIRD REVISED EDITION JOHN M. COWLEY. Regents' Professor enzeritus Arizona State University

DIFFRACTION PHYSICS THIRD REVISED EDITION JOHN M. COWLEY. Regents' Professor enzeritus Arizona State University DIFFRACTION PHYSICS THIRD REVISED EDITION JOHN M. COWLEY Regents' Professor enzeritus Arizona State University 1995 ELSEVIER Amsterdam Lausanne New York Oxford Shannon Tokyo CONTENTS Preface to the first

More information

Fourier Transform. sin(n# x)), where! = 2" / L and

Fourier Transform. sin(n# x)), where! = 2 / L and Fourier Transform Henning Stahlberg Introduction The tools provided by the Fourier transform are helpful for the analysis of 1D signals (time and frequency (or Fourier) domains), as well as 2D/3D signals

More information

Two-Dimensional Signal Processing and Image De-noising

Two-Dimensional Signal Processing and Image De-noising Two-Dimensional Signal Processing and Image De-noising Alec Koppel, Mark Eisen, Alejandro Ribeiro March 14, 2016 Before we considered (one-dimensional) discrete signals of the form x : [0, N 1] C where

More information

SEISMIC WAVE PROPAGATION. Lecture 2: Fourier Analysis

SEISMIC WAVE PROPAGATION. Lecture 2: Fourier Analysis SEISMIC WAVE PROPAGATION Lecture 2: Fourier Analysis Fourier Series & Fourier Transforms Fourier Series Review of trigonometric identities Analysing the square wave Fourier Transform Transforms of some

More information

31. Diffraction: a few important illustrations

31. Diffraction: a few important illustrations 31. Diffraction: a few important illustrations Babinet s Principle Diffraction gratings X-ray diffraction: Bragg scattering and crystal structures A lens transforms a Fresnel diffraction problem into a

More information

Crystals, X-rays and Proteins

Crystals, X-rays and Proteins Crystals, X-rays and Proteins Comprehensive Protein Crystallography Dennis Sherwood MA (Hons), MPhil, PhD Jon Cooper BA (Hons), PhD OXFORD UNIVERSITY PRESS Contents List of symbols xiv PART I FUNDAMENTALS

More information

Advanced Training Course on FPGA Design and VHDL for Hardware Simulation and Synthesis. 26 October - 20 November, 2009

Advanced Training Course on FPGA Design and VHDL for Hardware Simulation and Synthesis. 26 October - 20 November, 2009 2065-33 Advanced Training Course on FPGA Design and VHDL for Hardware Simulation and Synthesis 26 October - 20 November, 2009 Introduction to two-dimensional digital signal processing Fabio Mammano University

More information

Introduction to Condensed Matter Physics

Introduction to Condensed Matter Physics Introduction to Condensed Matter Physics Diffraction I Basic Physics M.P. Vaughan Diffraction Electromagnetic waves Geometric wavefront The Principle of Linear Superposition Diffraction regimes Single

More information

Summary Chapter 2: Wave diffraction and the reciprocal lattice.

Summary Chapter 2: Wave diffraction and the reciprocal lattice. Summary Chapter : Wave diffraction and the reciprocal lattice. In chapter we discussed crystal diffraction and introduced the reciprocal lattice. Since crystal have a translation symmetry as discussed

More information

Fourier Series. Combination of Waves: Any PERIODIC function f(t) can be written: How to calculate the coefficients?

Fourier Series. Combination of Waves: Any PERIODIC function f(t) can be written: How to calculate the coefficients? Fourier Series Combination of Waves: Any PERIODIC function f(t) can be written: How to calculate the coefficients? What is the Fourier Transform It is the representation of an arbitrary NON-periodic signal

More information

High-Resolution. Transmission. Electron Microscopy

High-Resolution. Transmission. Electron Microscopy Part 4 High-Resolution Transmission Electron Microscopy 186 Significance high-resolution transmission electron microscopy (HRTEM): resolve object details smaller than 1nm (10 9 m) image the interior of

More information

17 Finite crystal lattice and its Fourier transform. Lattice amplitude and shape amplitude

17 Finite crystal lattice and its Fourier transform. Lattice amplitude and shape amplitude 17 FINITE CRYSTAL LATTICE. LATTICE AMPLITUDE AND SHAPE AMPLITUDE 1 17 Finite crystal lattice and its Fourier transform. Lattice amplitude and shape amplitude A finite lattice f x) a regularly distributed

More information

Syllabus for IMGS-616 Fourier Methods in Imaging (RIT #11857) Week 1: 8/26, 8/28 Week 2: 9/2, 9/4

Syllabus for IMGS-616 Fourier Methods in Imaging (RIT #11857)  Week 1: 8/26, 8/28 Week 2: 9/2, 9/4 IMGS 616-20141 p.1 Syllabus for IMGS-616 Fourier Methods in Imaging (RIT #11857) 3 July 2014 (TENTATIVE and subject to change) Note that I expect to be in Europe twice during the term: in Paris the week

More information

Solid State Physics Lecture 3 Diffraction and the Reciprocal Lattice (Kittel Ch. 2)

Solid State Physics Lecture 3 Diffraction and the Reciprocal Lattice (Kittel Ch. 2) Solid State Physics 460 - Lecture 3 Diffraction and the Reciprocal Lattice (Kittel Ch. 2) Diffraction (Bragg Scattering) from a powder of crystallites - real example of image at right from http://www.uni-wuerzburg.de/mineralogie/crystal/teaching/pow.html

More information

GBS765 Electron microscopy

GBS765 Electron microscopy GBS765 Electron microscopy Lecture 1 Waves and Fourier transforms 10/14/14 9:05 AM Some fundamental concepts: Periodicity! If there is some a, for a function f(x), such that f(x) = f(x + na) then function

More information

Simplifying Rational Expressions and Functions

Simplifying Rational Expressions and Functions Department of Mathematics Grossmont College October 15, 2012 Recall: The Number Types Definition The set of whole numbers, ={0, 1, 2, 3, 4,...} is the set of natural numbers unioned with zero, written

More information

About solving time dependent Schrodinger equation

About solving time dependent Schrodinger equation About solving time dependent Schrodinger equation (Griffiths Chapter 2 Time Independent Schrodinger Equation) Given the time dependent Schrodinger Equation: Ψ Ψ Ψ 2 1. Observe that Schrodinger time dependent

More information

6. X-ray Crystallography and Fourier Series

6. X-ray Crystallography and Fourier Series 6. X-ray Crystallography and Fourier Series Most of the information that we have on protein structure comes from x-ray crystallography. The basic steps in finding a protein structure using this method

More information

Parameter inequalities for orthogonal arrays with mixed levels

Parameter inequalities for orthogonal arrays with mixed levels Parameter inequalities for orthogonal arrays with mixed levels Wiebke S. Diestelkamp Department of Mathematics University of Dayton Dayton, OH 45469-2316 wiebke@udayton.edu Designs, Codes and Cryptography,

More information

Contents. Diffraction by 1-D Obstacles. Narrow Slit. Wide Slit. N Slits. 5 Infinite Number of Slits

Contents. Diffraction by 1-D Obstacles. Narrow Slit. Wide Slit. N Slits. 5 Infinite Number of Slits Diffraction Contents 1 2 Narrow Slit 3 Wide Slit 4 N Slits 5 Infinite Number of Slits - geometric arrangement diffraction pattern amplitude Fk ( ) ik r F( k)= f( r) dr all r f( r) : amplitude function

More information

THE WAVE EQUATION (5.1)

THE WAVE EQUATION (5.1) THE WAVE EQUATION 5.1. Solution to the wave equation in Cartesian coordinates Recall the Helmholtz equation for a scalar field U in rectangular coordinates U U r, ( r, ) r, 0, (5.1) Where is the wavenumber,

More information

Vectors in Function Spaces

Vectors in Function Spaces Jim Lambers MAT 66 Spring Semester 15-16 Lecture 18 Notes These notes correspond to Section 6.3 in the text. Vectors in Function Spaces We begin with some necessary terminology. A vector space V, also

More information

Elastic and Inelastic Scattering in Electron Diffraction and Imaging

Elastic and Inelastic Scattering in Electron Diffraction and Imaging Elastic and Inelastic Scattering in Electron Diffraction and Imaging Contents Introduction Symbols and definitions Part A Diffraction and imaging of elastically scattered electrons Chapter 1. Basic kinematical

More information

Diffraction. X-ray diffraction

Diffraction. X-ray diffraction Diffraction Definition (from Cambridge Advanced Learner s Dictionary ): - diffraction noun [U] SPECIALIZED (a pattern caused by) a change in the direction of light, water or sound waves - diffract verb

More information

Chapter 4 Imaging. Lecture 21. d (110) Chem 793, Fall 2011, L. Ma

Chapter 4 Imaging. Lecture 21. d (110) Chem 793, Fall 2011, L. Ma Chapter 4 Imaging Lecture 21 d (110) Imaging Imaging in the TEM Diraction Contrast in TEM Image HRTEM (High Resolution Transmission Electron Microscopy) Imaging or phase contrast imaging STEM imaging a

More information

Oxford Scholarship Online

Oxford Scholarship Online University Press Scholarship Online Oxford Scholarship Online Methods in Theoretical Quantum Optics Stephen Barnett and Paul Radmore Print publication date: 2002 Print ISBN-13: 9780198563617 Published

More information

Fourier analysis, measures, and distributions. Alan Haynes

Fourier analysis, measures, and distributions. Alan Haynes Fourier analysis, measures, and distributions Alan Haynes 1 Mathematics of diffraction Physical diffraction As a physical phenomenon, diffraction refers to interference of waves passing through some medium

More information

Lecture 6. Four postulates of quantum mechanics. The eigenvalue equation. Momentum and energy operators. Dirac delta function. Expectation values

Lecture 6. Four postulates of quantum mechanics. The eigenvalue equation. Momentum and energy operators. Dirac delta function. Expectation values Lecture 6 Four postulates of quantum mechanics The eigenvalue equation Momentum and energy operators Dirac delta function Expectation values Objectives Learn about eigenvalue equations and operators. Learn

More information

1 Theta functions and their modular properties

1 Theta functions and their modular properties Week 3 Reading material from the books Polchinski, chapter 7 Ginspargs lectures, chapter 7 Theta functions and their modular properties The theta function is one of the basic functions that appears again

More information

Two-Dimensional Signal Processing and Image De-noising

Two-Dimensional Signal Processing and Image De-noising Two-Dimensional Signal Processing and Image De-noising Alec Koppel, Mark Eisen, Alejandro Ribeiro March 12, 2018 Until now, we considered (one-dimensional) discrete signals of the form x : [0, N 1] C of

More information

What is a Linear Space/Vector Space?

What is a Linear Space/Vector Space? What is a Linear Space/Vector Space? The terms linear space and vector space mean the same thing and can be used interchangeably. I have used the term linear space in the discussion below because I prefer

More information

Fourier Transform in Image Processing. CS/BIOEN 6640 U of Utah Guido Gerig (slides modified from Marcel Prastawa 2012)

Fourier Transform in Image Processing. CS/BIOEN 6640 U of Utah Guido Gerig (slides modified from Marcel Prastawa 2012) Fourier Transform in Image Processing CS/BIOEN 6640 U of Utah Guido Gerig (slides modified from Marcel Prastawa 2012) Basis Decomposition Write a function as a weighted sum of basis functions f ( x) wibi(

More information

Mathematics for Business and Economics - I. Chapter 5. Functions (Lecture 9)

Mathematics for Business and Economics - I. Chapter 5. Functions (Lecture 9) Mathematics for Business and Economics - I Chapter 5. Functions (Lecture 9) Functions The idea of a function is this: a correspondence between two sets D and R such that to each element of the first set,

More information

where c m s (1)

where c m s (1) General Physics Experiment 6 Spectrum of Hydrogen s Emission Lines Objectives: < To determine wave lengths of the bright emission lines of hydrogen. < To test the relationship between wavelength and energy

More information

FOURIER TRANSFORMS. At, is sometimes taken as 0.5 or it may not have any specific value. Shifting at

FOURIER TRANSFORMS. At, is sometimes taken as 0.5 or it may not have any specific value. Shifting at Chapter 2 FOURIER TRANSFORMS 2.1 Introduction The Fourier series expresses any periodic function into a sum of sinusoids. The Fourier transform is the extension of this idea to non-periodic functions by

More information

Wave Motion and Electromagnetic Radiation. Introduction Jan. 18, Jie Zhang

Wave Motion and Electromagnetic Radiation. Introduction Jan. 18, Jie Zhang Wave Motion and Electromagnetic Radiation Introduction Jan. 18, 2010 Jie Zhang PHYS 306 Spring, 2010 Introduction This class is about the physics of LIGHT. Textbook: Optics by Ghatak (2010) Content What

More information

Part I. Many-Body Systems and Classical Field Theory

Part I. Many-Body Systems and Classical Field Theory Part I. Many-Body Systems and Classical Field Theory 1. Classical and Quantum Mechanics of Particle Systems 3 1.1 Introduction. 3 1.2 Classical Mechanics of Mass Points 4 1.3 Quantum Mechanics: The Harmonic

More information

Resolution: maximum limit of diffraction (asymmetric)

Resolution: maximum limit of diffraction (asymmetric) Resolution: maximum limit of diffraction (asymmetric) crystal Y X-ray source 2θ X direct beam tan 2θ = Y X d = resolution 2d sinθ = λ detector 1 Unit Cell: two vectors in plane of image c* Observe: b*

More information

Chapter 2 Kinematical theory of diffraction

Chapter 2 Kinematical theory of diffraction Graduate School of Engineering, Nagoya Institute of Technology Crystal Structure Analysis Taashi Ida (Advanced Ceramics Research Center) Updated Oct. 29, 2013 Chapter 2 Kinematical theory of diffraction

More information

Wave Physics PHYS 2023 Tim Freegarde

Wave Physics PHYS 2023 Tim Freegarde Wave Physics PHYS 2023 Tim Freegarde Wave Physics WAVE EQUATIONS & SINUSOIDAL SOLUTIONS WAVE PROPAGATION BEHAVIOUR AT INTERFACES SUPERPOSITIONS FURTHER TOPICS general wave phenomena wave equations, derivations

More information

2.710 Optics Spring 09 Problem Set #6 Posted Monday, Apr. 6, 2009 Due Wednesday, Apr. 15, 2009

2.710 Optics Spring 09 Problem Set #6 Posted Monday, Apr. 6, 2009 Due Wednesday, Apr. 15, 2009 MASSACHUSETTS INSTITUTE OF TECHNOLOGY 2.710 Optics Spring 09 Problem Set #6 Posted Monday, Apr. 6, 2009 Due Wednesday, Apr. 15, 2009 1. Grating with tilted plane wave illumination Consider a sinusoidal

More information

BASIC MATRIX ALGEBRA WITH ALGORITHMS AND APPLICATIONS ROBERT A. LIEBLER CHAPMAN & HALL/CRC

BASIC MATRIX ALGEBRA WITH ALGORITHMS AND APPLICATIONS ROBERT A. LIEBLER CHAPMAN & HALL/CRC BASIC MATRIX ALGEBRA WITH ALGORITHMS AND APPLICATIONS ROBERT A. LIEBLER CHAPMAN & HALL/CRC A CRC Press Company Boca Raton London New York Washington, D.C. Contents Preface Examples Major results/proofs

More information

Formalism of Quantum Mechanics

Formalism of Quantum Mechanics The theory of quantum mechanics is formulated by defining a set of rules or postulates. These postulates cannot be derived from the laws of classical physics. The rules define the following: 1. How to

More information

CHEM6085: Density Functional Theory

CHEM6085: Density Functional Theory Lecture 11 CHEM6085: Density Functional Theory DFT for periodic crystalline solids C.-K. Skylaris 1 Electron in a one-dimensional periodic box (in atomic units) Schrödinger equation Energy eigenvalues

More information

Outline of Fourier Series: Math 201B

Outline of Fourier Series: Math 201B Outline of Fourier Series: Math 201B February 24, 2011 1 Functions and convolutions 1.1 Periodic functions Periodic functions. Let = R/(2πZ) denote the circle, or onedimensional torus. A function f : C

More information

CHEM-E5225 :Electron Microscopy Imaging

CHEM-E5225 :Electron Microscopy Imaging CHEM-E5225 :Electron Microscopy Imaging 2016.10 Yanling Ge Outline Planar Defects Image strain field WBDF microscopy HRTEM information theory Discuss of question homework? Planar Defects - Internal Interface

More information

Integration - Past Edexcel Exam Questions

Integration - Past Edexcel Exam Questions Integration - Past Edexcel Exam Questions 1. (a) Given that y = 5x 2 + 7x + 3, find i. - ii. - (b) ( 1 + 3 ) x 1 x dx. [4] 2. Question 2b - January 2005 2. The gradient of the curve C is given by The point

More information

Effect of Paired Apertures in a Periodic Hole Array on Higher Order Plasmon Modes

Effect of Paired Apertures in a Periodic Hole Array on Higher Order Plasmon Modes From the SelectedWorks of Fang-Tzu Chuang Winter November, 2012 Effect of Paired Apertures in a Periodic Hole Array on Higher Order Plasmon Modes Fang-Tzu Chuang, National Taiwan University Available at:

More information

CEG4311 Digital Image Processing Dec. 21, Professor: Eric Dubois

CEG4311 Digital Image Processing Dec. 21, Professor: Eric Dubois This exam has 23 pages 1 CEG4311 Digital Image Processing Dec. 21, 2004 Final exam Duration: 3 hours Professor: Eric Dubois Closed-book exam: you may not use any books, notes or calculator. Answer all

More information

Notes on Fourier Series and Integrals Fourier Series

Notes on Fourier Series and Integrals Fourier Series Notes on Fourier Series and Integrals Fourier Series et f(x) be a piecewise linear function on [, ] (This means that f(x) may possess a finite number of finite discontinuities on the interval). Then f(x)

More information

Physics I : Oscillations and Waves Prof. S. Bharadwaj Department of Physics and Meteorology Indian Institute of Technology, Kharagpur

Physics I : Oscillations and Waves Prof. S. Bharadwaj Department of Physics and Meteorology Indian Institute of Technology, Kharagpur Physics I : Oscillations and Waves Prof. S. Bharadwaj Department of Physics and Meteorology Indian Institute of Technology, Kharagpur Lecture - 21 Diffraction-II Good morning. In the last class, we had

More information

Phys 531 Lecture 27 6 December 2005

Phys 531 Lecture 27 6 December 2005 Phys 531 Lecture 27 6 December 2005 Final Review Last time: introduction to quantum field theory Like QM, but field is quantum variable rather than x, p for particle Understand photons, noise, weird quantum

More information

Chapter 6. Convergence. Probability Theory. Four different convergence concepts. Four different convergence concepts. Convergence in probability

Chapter 6. Convergence. Probability Theory. Four different convergence concepts. Four different convergence concepts. Convergence in probability Probability Theory Chapter 6 Convergence Four different convergence concepts Let X 1, X 2, be a sequence of (usually dependent) random variables Definition 1.1. X n converges almost surely (a.s.), or with

More information

LOWELL WEEKLY JOURNAL. ^Jberxy and (Jmott Oao M d Ccmsparftble. %m >ai ruv GEEAT INDUSTRIES

LOWELL WEEKLY JOURNAL. ^Jberxy and (Jmott Oao M d Ccmsparftble. %m >ai ruv GEEAT INDUSTRIES ? (») /»» 9 F ( ) / ) /»F»»»»»# F??»»» Q ( ( »»» < 3»» /» > > } > Q ( Q > Z F 5

More information

Summary of free theory: one particle state: vacuum state is annihilated by all a s: then, one particle state has normalization:

Summary of free theory: one particle state: vacuum state is annihilated by all a s: then, one particle state has normalization: The LSZ reduction formula based on S-5 In order to describe scattering experiments we need to construct appropriate initial and final states and calculate scattering amplitude. Summary of free theory:

More information

Practice Exercises on Differential Equations

Practice Exercises on Differential Equations Practice Exercises on Differential Equations What follows are some exerices to help with your studying for the part of the final exam on differential equations. In this regard, keep in mind that the exercises

More information

Lecture 9: Introduction to Diffraction of Light

Lecture 9: Introduction to Diffraction of Light Lecture 9: Introduction to Diffraction of Light Lecture aims to explain: 1. Diffraction of waves in everyday life and applications 2. Interference of two one dimensional electromagnetic waves 3. Typical

More information

Scattering and Diffraction

Scattering and Diffraction Scattering and Diffraction Andreas Kreyssig, Alan Goldman, Rob McQueeney Ames Laboratory Iowa State University All rights reserved, 2018. Atomic scale structure - crystals Crystalline materials... atoms

More information

noise = function whose amplitude is is derived from a random or a stochastic process (i.e., not deterministic)

noise = function whose amplitude is is derived from a random or a stochastic process (i.e., not deterministic) SIMG-716 Linear Imaging Mathematics I, Handout 05 1 1-D STOCHASTIC FUCTIOS OISE noise = function whose amplitude is is derived from a random or a stochastic process (i.e., not deterministic) Deterministic:

More information

Correlation Functions and Fourier Transforms

Correlation Functions and Fourier Transforms Correlation Functions and Fourier Transforms Introduction The importance of these functions in condensed matter physics Correlation functions (aside convolution) Fourier transforms The diffraction pattern

More information

Uncertainty Principle Applied to Focused Fields and the Angular Spectrum Representation

Uncertainty Principle Applied to Focused Fields and the Angular Spectrum Representation Uncertainty Principle Applied to Focused Fields and the Angular Spectrum Representation Manuel Guizar, Chris Todd Abstract There are several forms by which the transverse spot size and angular spread of

More information

DIFFERENTIATION RULES

DIFFERENTIATION RULES 3 DIFFERENTIATION RULES DIFFERENTIATION RULES We have: Seen how to interpret derivatives as slopes and rates of change Seen how to estimate derivatives of functions given by tables of values Learned how

More information

FOURIER TRANSFORM METHODS David Sandwell, January, 2013

FOURIER TRANSFORM METHODS David Sandwell, January, 2013 1 FOURIER TRANSFORM METHODS David Sandwell, January, 2013 1. Fourier Transforms Fourier analysis is a fundamental tool used in all areas of science and engineering. The fast fourier transform (FFT) algorithm

More information

Math 24 Spring 2012 Sample Homework Solutions Week 8

Math 24 Spring 2012 Sample Homework Solutions Week 8 Math 4 Spring Sample Homework Solutions Week 8 Section 5. (.) Test A M (R) for diagonalizability, and if possible find an invertible matrix Q and a diagonal matrix D such that Q AQ = D. ( ) 4 (c) A =.

More information

Diffusion equation in one spatial variable Cauchy problem. u(x, 0) = φ(x)

Diffusion equation in one spatial variable Cauchy problem. u(x, 0) = φ(x) Diffusion equation in one spatial variable Cauchy problem. u t (x, t) k u xx (x, t) = f(x, t), x R, t > u(x, ) = φ(x) 1 Some more mathematics { if x < Θ(x) = 1 if x > is the Heaviside step function. It

More information

Nov : Lecture 18: The Fourier Transform and its Interpretations

Nov : Lecture 18: The Fourier Transform and its Interpretations 3 Nov. 04 2005: Lecture 8: The Fourier Transform and its Interpretations Reading: Kreyszig Sections: 0.5 (pp:547 49), 0.8 (pp:557 63), 0.9 (pp:564 68), 0.0 (pp:569 75) Fourier Transforms Expansion of a

More information

Class 27: Reciprocal Space 1: Introduction to Reciprocal Space

Class 27: Reciprocal Space 1: Introduction to Reciprocal Space Class 27: Reciprocal Space 1: Introduction to Reciprocal Space Many properties of solid materials stem from the fact that they have periodic internal structures. Electronic properties are no exception.

More information

The science of light. P. Ewart

The science of light. P. Ewart The science of light P. Ewart Lecture notes: On web site NB outline notes! Textbooks: Hecht, Optics Lipson, Lipson and Lipson, Optical Physics Further reading: Brooker, Modern Classical Optics Problems:

More information

Sect Definitions of a 0 and a n

Sect Definitions of a 0 and a n 5 Sect 5. - Definitions of a 0 and a n Concept # Definition of a 0. Let s examine the quotient rule when the powers are equal. Simplify: Ex. 5 5 There are two ways to view this problem. First, any non-zero

More information

On the FPA infrared camera transfer function calculation

On the FPA infrared camera transfer function calculation On the FPA infrared camera transfer function calculation (1) CERTES, Université Paris XII Val de Marne, Créteil, France (2) LTM, Université de Bourgogne, Le Creusot, France by S. Datcu 1, L. Ibos 1,Y.

More information

Section 1.2 Combining Functions; Shifting and Scaling Graphs. (a) Function addition: Given two functions f and g we define the sum of f and g as

Section 1.2 Combining Functions; Shifting and Scaling Graphs. (a) Function addition: Given two functions f and g we define the sum of f and g as Section 1.2 Combining Functions; Shifting and Scaling Graphs We will get new functions from the ones we know. Tow functions f and g can be combined to form new functions by function addition, substraction,

More information

NOTES ON FOURIER SERIES and FOURIER TRANSFORM

NOTES ON FOURIER SERIES and FOURIER TRANSFORM NOTES ON FOURIER SERIES and FOURIER TRANSFORM Physics 141 (2003) These are supplemental math notes for our course. The first part, (Part-A), provides a quick review on Fourier series. I assume that you

More information

PHYS-454 The position and momentum representations

PHYS-454 The position and momentum representations PHYS-454 The position and momentum representations 1 Τhe continuous spectrum-a n So far we have seen problems where the involved operators have a discrete spectrum of eigenfunctions and eigenvalues.! n

More information

multiply both sides of eq. by a and projection overlap

multiply both sides of eq. by a and projection overlap Fourier Series n x n x f xa ancos bncos n n periodic with period x consider n, sin x x x March. 3, 7 Any function with period can be represented with a Fourier series Examples (sawtooth) (square wave)

More information

Green s functions for planarly layered media

Green s functions for planarly layered media Green s functions for planarly layered media Massachusetts Institute of Technology 6.635 lecture notes Introduction: Green s functions The Green s functions is the solution of the wave equation for a point

More information

Sampling. Alejandro Ribeiro. February 8, 2018

Sampling. Alejandro Ribeiro. February 8, 2018 Sampling Alejandro Ribeiro February 8, 2018 Signals exist in continuous time but it is not unusual for us to process them in discrete time. When we work in discrete time we say that we are doing discrete

More information

APPENDIX A. Background Mathematics. A.1 Linear Algebra. Vector algebra. Let x denote the n-dimensional column vector with components x 1 x 2.

APPENDIX A. Background Mathematics. A.1 Linear Algebra. Vector algebra. Let x denote the n-dimensional column vector with components x 1 x 2. APPENDIX A Background Mathematics A. Linear Algebra A.. Vector algebra Let x denote the n-dimensional column vector with components 0 x x 2 B C @. A x n Definition 6 (scalar product). The scalar product

More information

Information and Communications Security: Encryption and Information Hiding

Information and Communications Security: Encryption and Information Hiding Short Course on Information and Communications Security: Encryption and Information Hiding Tuesday, 10 March Friday, 13 March, 2015 Lecture 5: Signal Analysis Contents The complex exponential The complex

More information

Lecture 11: Introduction to diffraction of light

Lecture 11: Introduction to diffraction of light Lecture 11: Introduction to diffraction of light Diffraction of waves in everyday life and applications Diffraction in everyday life Diffraction in applications Spectroscopy: physics, chemistry, medicine,

More information

General theory of diffraction

General theory of diffraction General theory of diffraction X-rays scatter off the charge density (r), neutrons scatter off the spin density. Coherent scattering (diffraction) creates the Fourier transform of (r) from real to reciprocal

More information

Geometry of Crystal Lattice

Geometry of Crystal Lattice 0 Geometry of Crystal Lattice 0.1 Translational Symmetry The crystalline state of substances is different from other states (gaseous, liquid, amorphous) in that the atoms are in an ordered and symmetrical

More information

Interference, Diffraction and Fourier Theory. ATI 2014 Lecture 02! Keller and Kenworthy

Interference, Diffraction and Fourier Theory. ATI 2014 Lecture 02! Keller and Kenworthy Interference, Diffraction and Fourier Theory ATI 2014 Lecture 02! Keller and Kenworthy The three major branches of optics Geometrical Optics Light travels as straight rays Physical Optics Light can be

More information

Optical Sciences Center, Rm 704 University of Arizona Tucson, AZ Office Hours: Call for appointment or see after class

Optical Sciences Center, Rm 704 University of Arizona Tucson, AZ Office Hours: Call for appointment or see after class Term: Spring 2000 Course #: OPTI 505 Course Title: Diffraction and Interferometry Instructor: James C. Wyant Optical Sciences Center, Rm 704 University of Arizona Tucson, AZ 85721 Phone: 520-621-2448 E-Mail:

More information

Introduction. The Dirac delta function In a three-dimensional space the Dirac delta function <5(r-r 0 ) has the following properties

Introduction. The Dirac delta function In a three-dimensional space the Dirac delta function <5(r-r 0 ) has the following properties Introduction The basic concepts of X-ray diffraction may be more easily understood if it is made preliminary use of a mathematical background. In these pages we will first define the delta function and

More information

Fourier Series and Transform KEEE343 Communication Theory Lecture #7, March 24, Prof. Young-Chai Ko

Fourier Series and Transform KEEE343 Communication Theory Lecture #7, March 24, Prof. Young-Chai Ko Fourier Series and Transform KEEE343 Communication Theory Lecture #7, March 24, 20 Prof. Young-Chai Ko koyc@korea.ac.kr Summary Fourier transform Properties Fourier transform of special function Fourier

More information

2.710 Optics Spring 09 Solutions to Problem Set #6 Due Wednesday, Apr. 15, 2009

2.710 Optics Spring 09 Solutions to Problem Set #6 Due Wednesday, Apr. 15, 2009 MASSACHUSETTS INSTITUTE OF TECHNOLOGY.710 Optics Spring 09 Solutions to Problem Set #6 Due Wednesday, Apr. 15, 009 Problem 1: Grating with tilted plane wave illumination 1. a) In this problem, one dimensional

More information

SIMG Optics for Imaging Solutions to Final Exam

SIMG Optics for Imaging Solutions to Final Exam SIMG-733-009 Optics for Imaging Solutions to Final Exam. An imaging system consists of two identical thin lenses each with focal length f = f = +300 mm and diameter d = d =50mm. The lenses are separated

More information

Ma 221 Eigenvalues and Fourier Series

Ma 221 Eigenvalues and Fourier Series Ma Eigenvalues and Fourier Series Eigenvalue and Eigenfunction Examples Example Find the eigenvalues and eigenfunctions for y y 47 y y y5 Solution: The characteristic equation is r r 47 so r 44 447 6 Thus

More information

Decagonal quasicrystals

Decagonal quasicrystals Decagonal quasicrystals higher dimensional description & structure determination Hiroyuki Takakura Division of Applied Physics, Faculty of Engineering, Hokkaido University 1 Disclaimer and copyright notice

More information

Let's transfer our results for conditional probability for events into conditional probabilities for random variables.

Let's transfer our results for conditional probability for events into conditional probabilities for random variables. Kolmogorov/Smoluchowski equation approach to Brownian motion Tuesday, February 12, 2013 1:53 PM Readings: Gardiner, Secs. 1.2, 3.8.1, 3.8.2 Einstein Homework 1 due February 22. Conditional probability

More information

Setting The motor that rotates the sample about an axis normal to the diffraction plane is called (or ).

Setting The motor that rotates the sample about an axis normal to the diffraction plane is called (or ). X-Ray Diffraction X-ray diffraction geometry A simple X-ray diffraction (XRD) experiment might be set up as shown below. We need a parallel X-ray source, which is usually an X-ray tube in a fixed position

More information

Chapter 1. Matrix Algebra

Chapter 1. Matrix Algebra ST4233, Linear Models, Semester 1 2008-2009 Chapter 1. Matrix Algebra 1 Matrix and vector notation Definition 1.1 A matrix is a rectangular or square array of numbers of variables. We use uppercase boldface

More information

BD1. Reciprocal space and Fourier transforms. IB Mineral Sciences Module B: Reciprocal Space, Symmetry and Crystallography

BD1. Reciprocal space and Fourier transforms. IB Mineral Sciences Module B: Reciprocal Space, Symmetry and Crystallography Reciprocal space and Fourier transforms The aim of this practical is to give you a chance to develop your intuition about the relationship between real space and reciprocal space. There are two halves

More information

Physics 342 Lecture 2. Linear Algebra I. Lecture 2. Physics 342 Quantum Mechanics I

Physics 342 Lecture 2. Linear Algebra I. Lecture 2. Physics 342 Quantum Mechanics I Physics 342 Lecture 2 Linear Algebra I Lecture 2 Physics 342 Quantum Mechanics I Wednesday, January 27th, 21 From separation of variables, we move to linear algebra Roughly speaking, this is the study

More information

Roger Johnson Structure and Dynamics: X-ray Diffraction Lecture 6

Roger Johnson Structure and Dynamics: X-ray Diffraction Lecture 6 6.1. Summary In this Lecture we cover the theory of x-ray diffraction, which gives direct information about the atomic structure of crystals. In these experiments, the wavelength of the incident beam must

More information

1 The Dirac notation for vectors in Quantum Mechanics

1 The Dirac notation for vectors in Quantum Mechanics This module aims at developing the mathematical foundation of Quantum Mechanics, starting from linear vector space and covering topics such as inner product space, Hilbert space, operators in Quantum Mechanics

More information

PHYS Handout 6

PHYS Handout 6 PHYS 060 Handout 6 Handout Contents Golden Equations for Lectures 8 to Answers to examples on Handout 5 Tricks of the Quantum trade (revision hints) Golden Equations (Lectures 8 to ) ψ Â φ ψ (x)âφ(x)dxn

More information

The Klein-Gordon equation

The Klein-Gordon equation Lecture 8 The Klein-Gordon equation WS2010/11: Introduction to Nuclear and Particle Physics The bosons in field theory Bosons with spin 0 scalar (or pseudo-scalar) meson fields canonical field quantization

More information