The Principle of Least Action and Designing Fiber Optics
|
|
- Russell Long
- 6 years ago
- Views:
Transcription
1 University of Southampton Department of Physics & Astronomy Year 2 Theory Labs The Principle of Least Action an Designing Fiber Optics 1 Purpose of this Moule We will be intereste in esigning fiber optic cables that carry light in particular ways. To change the light path one must carefully choose the refractive inex profile on the cable cross section. How oes the light s path epen on the refractive inex? We will use as our guiing principle Fermat s Principle of Least Time: light propagates between two points so as to minimize its travel time. We will therefore be intereste in the mathematics of fining paths that extremize some quantity. This is known as Calculus of Variation 2 Calculus of Variation Consier a set of curves qs between two points q 1, an q 2,s 2 in the s,q plane we will only consier curves where the trajectory is single value at each value of s. q q 2 q 1 s 2 S Imagine we are intereste in one curve that minimizes the quantity 1
2 S[qs] = s 2 Lq, q,s L is just a number at each point on a given curve etermine by the values of q an s at that point an the graient q = q/. The integral sums these numbers along the line. If the curve that minimizes S is qs we can write the other curves as eviations from it subject to the bounary conitions qs= qs+δ qs δq =δqs 2 =0 The value of S for these curves varies from the value for qs by δs = S[ q+ δq] S[ q] Since qs is the minimum though δs = 0 to lowest orer in δq. Let s calculate S[ q + δq] to orer δq S[ q + δq]= s 2 L q + δq, q + δ q,s s 2 s L q, q,s+δ q 1 q + δq q +... S[ q]+ s 2 s δ q 1 q + δq q Integrating the first term by parts u = / q, v/ = δ q etc s2 δ q q =[δq/ q]s 2 s1 s 2 δq q The first term vanishes since δq vanishes at the en of the path. Thus S[ q + δq] S[ q]= s 2 δq q q This is only zero at orer δq if 2
3 q q = 0 which is the all important Euler Lagrange equation. Q1 Make sure you unerstan this erivation. More generally we coul imagine having more coorinates q q i it s sensible to work with the smallest number of inepenent or generalize coorinates. Show that the Euler Lagrange equations then become a set - one for each q i : q i q i = 0 3 Example 1: Minimum Surface The classic problem, for which Lagrange evelope his Calculus of Variation formalism, is this: Consier two points in the x,y plane. Connect them by a line of your choice an then rotate about the y-axis into the thir imension so the line sweeps out the surface of some volume see the figure. What line shoul you have chosen to minimize the surface area of that volume? y y x z x A general infinitissimal length of the line will contribute the surface area of a cyliner of raius x an height x 2 + y 2 A = 2πx x 2 + y 2 1 3
4 Thus for a particular choice of line yx A = x2 x 1 2πx 1 + y 2 x 2 x The curve that minimizes the surface satisfies the Euler lagrange equation x y y = 0 3 where a prime inicates a erivative with respect to x an L = 2πx 1 + y 2 4 x Q2 Note that L is inepenent of y an hence show that the extremizing curve satisfies the ifferential equation x y x y x = constant,c 1 5 Q3 Hence show that y = C 1 x 2 C1 2 x 6 1/2 Q4 Make the substitution x = C 1 coshφ an fin the solution. What etermines the constants in the solution? 4
5 4 Example 2: Fiber Optics When we look for the path followe by a light ray, the time of flight, accoring to Fermat s principle, is the object that plays the role of the action S above. In a circular cross section fiber optic cable it is sensible to use cylinerical coorinates r,θ,z. If light travels along an infinitessimal path escribe by the general changes r,θ,z then the length of the path is given by l 2 = r 2 + r 2 θ 2 + z 2 7 Q5 Convince yourself we can therefore write the time of flight as ct = finish start L z 8 where L = nr,θ,z r 2 + r 2 θ c is the spee of light in vacuum an n = c/v is the inex of refraction of the material the fibre is mae of, in which the light travels at spee v. Note we have let v vary through the material. In this three imensional case the path that minimizes the time of travel is given by the solution of the two Euler Lagrange equations z r r = 0, z θ θ = 0 10 We will restrict ourselves to problems where the inex of refraction epen only on the raial position r. Q6 Show that the secon equation then implies that nrr 2 θ r 2 + r 2 θ = C 11 5
6 Q7 What can we say about a meriional ray that initially has θ = 0? Note that L is also inepenent of z so / z = 0. Now L z = z + r r + r r + θ θ + θ θ 12 Q8 Using the z inepenence of L an the two Euler Lagrange equations substitute for / r an / θ show that [ L r z r θ ] θ = 0 13 an hence that in the case of the fibre optic nr r 2 + r 2 θ = D 14 Q9 What is the fate of a ray that enters the fibre normal to the surface? We can now solve these two equations for particular nr an fin the path light takes in the fibre. Conversely we can iscover the form of nr neee to make the light follow some esire path. We finish with an example of each. Q10 Semi-Circular Rays Show that if nr= n λr 15 then meriional rays with θ = constant form a connecte series of circular segments in the r z plane. 6
7 Q11 Helix Fin the form of the cylinerically symmetric inex of refraction for which the light rays are helices with r = r 0. If you have a time to spare you coul try to set up a maple program that will solve the ifferential equations numerically an then plot the light s path for any particular choice of n. This worksheet has been prepare from a super book calle Perfect Form by Lemons. The iea of a Principle of Least Action can also be applie to Newtonian particle mechanics proviing an alternative formulation to Newton s Laws. Lemons explores the parallels between the optical an mechanics versions in etail. You ll learn more next year about the mechanics formalism! 7
Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors
Math 18.02 Notes on ifferentials, the Chain Rule, graients, irectional erivative, an normal vectors Tangent plane an linear approximation We efine the partial erivatives of f( xy, ) as follows: f f( x+
More informationTable of Common Derivatives By David Abraham
Prouct an Quotient Rules: Table of Common Derivatives By Davi Abraham [ f ( g( ] = [ f ( ] g( + f ( [ g( ] f ( = g( [ f ( ] g( g( f ( [ g( ] Trigonometric Functions: sin( = cos( cos( = sin( tan( = sec
More informationLagrangian and Hamiltonian Mechanics
Lagrangian an Hamiltonian Mechanics.G. Simpson, Ph.. epartment of Physical Sciences an Engineering Prince George s Community College ecember 5, 007 Introuction In this course we have been stuying classical
More informationSchrödinger s equation.
Physics 342 Lecture 5 Schröinger s Equation Lecture 5 Physics 342 Quantum Mechanics I Wenesay, February 3r, 2010 Toay we iscuss Schröinger s equation an show that it supports the basic interpretation of
More informationLecture XII. where Φ is called the potential function. Let us introduce spherical coordinates defined through the relations
Lecture XII Abstract We introuce the Laplace equation in spherical coorinates an apply the metho of separation of variables to solve it. This will generate three linear orinary secon orer ifferential equations:
More informationLecture 2 Lagrangian formulation of classical mechanics Mechanics
Lecture Lagrangian formulation of classical mechanics 70.00 Mechanics Principle of stationary action MATH-GA To specify a motion uniquely in classical mechanics, it suffices to give, at some time t 0,
More informationAssignment 1. g i (x 1,..., x n ) dx i = 0. i=1
Assignment 1 Golstein 1.4 The equations of motion for the rolling isk are special cases of general linear ifferential equations of constraint of the form g i (x 1,..., x n x i = 0. i=1 A constraint conition
More informationQuantum Mechanics in Three Dimensions
Physics 342 Lecture 20 Quantum Mechanics in Three Dimensions Lecture 20 Physics 342 Quantum Mechanics I Monay, March 24th, 2008 We begin our spherical solutions with the simplest possible case zero potential.
More informationIntroduction to variational calculus: Lecture notes 1
October 10, 2006 Introuction to variational calculus: Lecture notes 1 Ewin Langmann Mathematical Physics, KTH Physics, AlbaNova, SE-106 91 Stockholm, Sween Abstract I give an informal summary of variational
More informationG j dq i + G j. q i. = a jt. and
Lagrange Multipliers Wenesay, 8 September 011 Sometimes it is convenient to use reunant coorinates, an to effect the variation of the action consistent with the constraints via the metho of Lagrange unetermine
More informationCalculus of Variations
Calculus of Variations Lagrangian formalism is the main tool of theoretical classical mechanics. Calculus of Variations is a part of Mathematics which Lagrangian formalism is base on. In this section,
More informationImplicit Differentiation
Implicit Differentiation Thus far, the functions we have been concerne with have been efine explicitly. A function is efine explicitly if the output is given irectly in terms of the input. For instance,
More informationThe derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x)
Y. D. Chong (2016) MH2801: Complex Methos for the Sciences 1. Derivatives The erivative of a function f(x) is another function, efine in terms of a limiting expression: f (x) f (x) lim x δx 0 f(x + δx)
More informationand from it produce the action integral whose variation we set to zero:
Lagrange Multipliers Monay, 6 September 01 Sometimes it is convenient to use reunant coorinates, an to effect the variation of the action consistent with the constraints via the metho of Lagrange unetermine
More information1 Lecture 20: Implicit differentiation
Lecture 20: Implicit ifferentiation. Outline The technique of implicit ifferentiation Tangent lines to a circle Derivatives of inverse functions by implicit ifferentiation Examples.2 Implicit ifferentiation
More informationThe Exact Form and General Integrating Factors
7 The Exact Form an General Integrating Factors In the previous chapters, we ve seen how separable an linear ifferential equations can be solve using methos for converting them to forms that can be easily
More information23 Implicit differentiation
23 Implicit ifferentiation 23.1 Statement The equation y = x 2 + 3x + 1 expresses a relationship between the quantities x an y. If a value of x is given, then a corresponing value of y is etermine. For
More informationThe Three-dimensional Schödinger Equation
The Three-imensional Schöinger Equation R. L. Herman November 7, 016 Schröinger Equation in Spherical Coorinates We seek to solve the Schröinger equation with spherical symmetry using the metho of separation
More informationLectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs
Lectures - Week 10 Introuction to Orinary Differential Equations (ODES) First Orer Linear ODEs When stuying ODEs we are consiering functions of one inepenent variable, e.g., f(x), where x is the inepenent
More informationCalculus of Variations
16.323 Lecture 5 Calculus of Variations Calculus of Variations Most books cover this material well, but Kirk Chapter 4 oes a particularly nice job. x(t) x* x*+ αδx (1) x*- αδx (1) αδx (1) αδx (1) t f t
More informationDIFFERENTIAL GEOMETRY OF CURVES AND SURFACES 7. Geodesics and the Theorem of Gauss-Bonnet
A P Q O B DIFFERENTIAL GEOMETRY OF CURVES AND SURFACES 7. Geoesics an the Theorem of Gauss-Bonnet 7.. Geoesics on a Surface. The goal of this section is to give an answer to the following question. Question.
More information221A Lecture Notes Notes on Classica Mechanics I
1A Lecture Notes Notes on Classica Mechanics I 1 Precursor: Fermat s Principle in Geometric Optics In geometric optics, you talk about how light rays go. In homogeneous meiums, the light rays go straight.
More informationChapter 2 Lagrangian Modeling
Chapter 2 Lagrangian Moeling The basic laws of physics are use to moel every system whether it is electrical, mechanical, hyraulic, or any other energy omain. In mechanics, Newton s laws of motion provie
More informationChapter 2 Governing Equations
Chapter 2 Governing Equations In the present an the subsequent chapters, we shall, either irectly or inirectly, be concerne with the bounary-layer flow of an incompressible viscous flui without any involvement
More informationConvergence of Random Walks
Chapter 16 Convergence of Ranom Walks This lecture examines the convergence of ranom walks to the Wiener process. This is very important both physically an statistically, an illustrates the utility of
More informationMathematical Review Problems
Fall 6 Louis Scuiero Mathematical Review Problems I. Polynomial Equations an Graphs (Barrante--Chap. ). First egree equation an graph y f() x mx b where m is the slope of the line an b is the line's intercept
More informationDiagonalization of Matrices Dr. E. Jacobs
Diagonalization of Matrices Dr. E. Jacobs One of the very interesting lessons in this course is how certain algebraic techniques can be use to solve ifferential equations. The purpose of these notes is
More informationEuler equations for multiple integrals
Euler equations for multiple integrals January 22, 2013 Contents 1 Reminer of multivariable calculus 2 1.1 Vector ifferentiation......................... 2 1.2 Matrix ifferentiation........................
More informationJUST THE MATHS UNIT NUMBER DIFFERENTIATION 2 (Rates of change) A.J.Hobson
JUST THE MATHS UNIT NUMBER 10.2 DIFFERENTIATION 2 (Rates of change) by A.J.Hobson 10.2.1 Introuction 10.2.2 Average rates of change 10.2.3 Instantaneous rates of change 10.2.4 Derivatives 10.2.5 Exercises
More information12.11 Laplace s Equation in Cylindrical and
SEC. 2. Laplace s Equation in Cylinrical an Spherical Coorinates. Potential 593 2. Laplace s Equation in Cylinrical an Spherical Coorinates. Potential One of the most important PDEs in physics an engineering
More informationSeparation of Variables
Physics 342 Lecture 1 Separation of Variables Lecture 1 Physics 342 Quantum Mechanics I Monay, January 25th, 2010 There are three basic mathematical tools we nee, an then we can begin working on the physical
More information05 The Continuum Limit and the Wave Equation
Utah State University DigitalCommons@USU Founations of Wave Phenomena Physics, Department of 1-1-2004 05 The Continuum Limit an the Wave Equation Charles G. Torre Department of Physics, Utah State University,
More informationELECTRON DIFFRACTION
ELECTRON DIFFRACTION Electrons : wave or quanta? Measurement of wavelength an momentum of electrons. Introuction Electrons isplay both wave an particle properties. What is the relationship between the
More informationThe Principle of Least Action
Chapter 7. The Principle of Least Action 7.1 Force Methos vs. Energy Methos We have so far stuie two istinct ways of analyzing physics problems: force methos, basically consisting of the application of
More informationFinal Exam: Sat 12 Dec 2009, 09:00-12:00
MATH 1013 SECTIONS A: Professor Szeptycki APPLIED CALCULUS I, FALL 009 B: Professor Toms C: Professor Szeto NAME: STUDENT #: SECTION: No ai (e.g. calculator, written notes) is allowe. Final Exam: Sat 1
More informationPhysics 170 Week 7, Lecture 2
Physics 170 Week 7, Lecture 2 http://www.phas.ubc.ca/ goronws/170 Physics 170 203 Week 7, Lecture 2 1 Textbook Chapter 12:Section 12.2-3 Physics 170 203 Week 7, Lecture 2 2 Learning Goals: Learn about
More information1 dx. where is a large constant, i.e., 1, (7.6) and Px is of the order of unity. Indeed, if px is given by (7.5), the inequality (7.
Lectures Nine an Ten The WKB Approximation The WKB metho is a powerful tool to obtain solutions for many physical problems It is generally applicable to problems of wave propagation in which the frequency
More informationIntroduction to the Vlasov-Poisson system
Introuction to the Vlasov-Poisson system Simone Calogero 1 The Vlasov equation Consier a particle with mass m > 0. Let x(t) R 3 enote the position of the particle at time t R an v(t) = ẋ(t) = x(t)/t its
More informationinflow outflow Part I. Regular tasks for MAE598/494 Task 1
MAE 494/598, Fall 2016 Project #1 (Regular tasks = 20 points) Har copy of report is ue at the start of class on the ue ate. The rules on collaboration will be release separately. Please always follow the
More informationCalculus in the AP Physics C Course The Derivative
Limits an Derivatives Calculus in the AP Physics C Course The Derivative In physics, the ieas of the rate change of a quantity (along with the slope of a tangent line) an the area uner a curve are essential.
More informationA. Incorrect! The letter t does not appear in the expression of the given integral
AP Physics C - Problem Drill 1: The Funamental Theorem of Calculus Question No. 1 of 1 Instruction: (1) Rea the problem statement an answer choices carefully () Work the problems on paper as neee (3) Question
More informationVectors in two dimensions
Vectors in two imensions Until now, we have been working in one imension only The main reason for this is to become familiar with the main physical ieas like Newton s secon law, without the aitional complication
More information1.4.3 Elementary solutions to Laplace s equation in the spherical coordinates (Axially symmetric cases) (Griffiths 3.3.2)
1.4.3 Elementary solutions to Laplace s equation in the spherical coorinates (Axially symmetric cases) (Griffiths 3.3.) In the spherical coorinates (r, θ, φ), the Laplace s equation takes the following
More informationTutorial Test 5 2D welding robot
Tutorial Test 5 D weling robot Phys 70: Planar rigi boy ynamics The problem statement is appene at the en of the reference solution. June 19, 015 Begin: 10:00 am En: 11:30 am Duration: 90 min Solution.
More informationCalculus and optimization
Calculus an optimization These notes essentially correspon to mathematical appenix 2 in the text. 1 Functions of a single variable Now that we have e ne functions we turn our attention to calculus. A function
More informationConstruction of the Electronic Radial Wave Functions and Probability Distributions of Hydrogen-like Systems
Construction of the Electronic Raial Wave Functions an Probability Distributions of Hyrogen-like Systems Thomas S. Kuntzleman, Department of Chemistry Spring Arbor University, Spring Arbor MI 498 tkuntzle@arbor.eu
More informationIMPLICIT DIFFERENTIATION
IMPLICIT DIFFERENTIATION CALCULUS 3 INU0115/515 (MATHS 2) Dr Arian Jannetta MIMA CMath FRAS Implicit Differentiation 1/ 11 Arian Jannetta Explicit an implicit functions Explicit functions An explicit function
More informationMath 11 Fall 2016 Section 1 Monday, September 19, Definition: A vector parametric equation for the line parallel to vector v = x v, y v, z v
Math Fall 06 Section Monay, September 9, 06 First, some important points from the last class: Definition: A vector parametric equation for the line parallel to vector v = x v, y v, z v passing through
More informationCalculus of variations - Lecture 11
Calculus of variations - Lecture 11 1 Introuction It is easiest to formulate the problem with a specific example. The classical problem of the brachistochrone (1696 Johann Bernoulli) is the search to fin
More informationFall 2016: Calculus I Final
Answer the questions in the spaces provie on the question sheets. If you run out of room for an answer, continue on the back of the page. NO calculators or other electronic evices, books or notes are allowe
More informationSection 2.7 Derivatives of powers of functions
Section 2.7 Derivatives of powers of functions (3/19/08) Overview: In this section we iscuss the Chain Rule formula for the erivatives of composite functions that are forme by taking powers of other functions.
More informationFluid Mechanics EBS 189a. Winter quarter, 4 units, CRN Lecture TWRF 12:10-1:00, Chemistry 166; Office hours TH 2-3, WF 4-5; 221 Veihmeyer Hall.
Flui Mechanics EBS 189a. Winter quarter, 4 units, CRN 52984. Lecture TWRF 12:10-1:00, Chemistry 166; Office hours TH 2-3, WF 4-5; 221 eihmeyer Hall. Course Description: xioms of flui mechanics, flui statics,
More informationSection 7.1: Integration by Parts
Section 7.1: Integration by Parts 1. Introuction to Integration Techniques Unlike ifferentiation where there are a large number of rules which allow you (in principle) to ifferentiate any function, the
More information5.4 Fundamental Theorem of Calculus Calculus. Do you remember the Fundamental Theorem of Algebra? Just thought I'd ask
5.4 FUNDAMENTAL THEOREM OF CALCULUS Do you remember the Funamental Theorem of Algebra? Just thought I' ask The Funamental Theorem of Calculus has two parts. These two parts tie together the concept of
More informationSolutions to MATH 271 Test #3H
Solutions to MATH 71 Test #3H This is the :4 class s version of the test. See pages 4 7 for the 4:4 class s. (1) (5 points) Let a k = ( 1)k. Is a k increasing? Decreasing? Boune above? Boune k below? Convergant
More informationSolving the Schrödinger Equation for the 1 Electron Atom (Hydrogen-Like)
Stockton Univeristy Chemistry Program, School of Natural Sciences an Mathematics 101 Vera King Farris Dr, Galloway, NJ CHEM 340: Physical Chemistry II Solving the Schröinger Equation for the 1 Electron
More informationConservation Laws. Chapter Conservation of Energy
20 Chapter 3 Conservation Laws In orer to check the physical consistency of the above set of equations governing Maxwell-Lorentz electroynamics [(2.10) an (2.12) or (1.65) an (1.68)], we examine the action
More informationStudents need encouragement. So if a student gets an answer right, tell them it was a lucky guess. That way, they develop a good, lucky feeling.
Chapter 8 Analytic Functions Stuents nee encouragement. So if a stuent gets an answer right, tell them it was a lucky guess. That way, they evelop a goo, lucky feeling. 1 8.1 Complex Derivatives -Jack
More informationThermal conductivity of graded composites: Numerical simulations and an effective medium approximation
JOURNAL OF MATERIALS SCIENCE 34 (999)5497 5503 Thermal conuctivity of grae composites: Numerical simulations an an effective meium approximation P. M. HUI Department of Physics, The Chinese University
More informationMath 1B, lecture 8: Integration by parts
Math B, lecture 8: Integration by parts Nathan Pflueger 23 September 2 Introuction Integration by parts, similarly to integration by substitution, reverses a well-known technique of ifferentiation an explores
More informationOptimization of Geometries by Energy Minimization
Optimization of Geometries by Energy Minimization by Tracy P. Hamilton Department of Chemistry University of Alabama at Birmingham Birmingham, AL 3594-140 hamilton@uab.eu Copyright Tracy P. Hamilton, 1997.
More informationImplicit Differentiation. Lecture 16.
Implicit Differentiation. Lecture 16. We are use to working only with functions that are efine explicitly. That is, ones like f(x) = 5x 3 + 7x x 2 + 1 or s(t) = e t5 3, in which the function is escribe
More informationMath 342 Partial Differential Equations «Viktor Grigoryan
Math 342 Partial Differential Equations «Viktor Grigoryan 6 Wave equation: solution In this lecture we will solve the wave equation on the entire real line x R. This correspons to a string of infinite
More informationArmenian Transformation Equations For Relativity
Armenian Transformation Equations For Relativity Robert Nazaryan an Haik Nazaryan 00th Anniversary of the Special Relativity Theory This Research one in Armenia 968-988, Translate from the Armenian Manuscript
More informationExamining Geometric Integration for Propagating Orbit Trajectories with Non-Conservative Forcing
Examining Geometric Integration for Propagating Orbit Trajectories with Non-Conservative Forcing Course Project for CDS 05 - Geometric Mechanics John M. Carson III California Institute of Technology June
More informationAppendix: Proof of Spatial Derivative of Clear Raindrop
Appenix: Proof of Spatial erivative of Clear Rainrop Shaoi You Robby T. Tan The University of Tokyo {yous,rei,ki}@cvl.iis.u-tokyo.ac.jp Rei Kawakami Katsushi Ikeuchi Utrecht University R.T.Tan@uu.nl Layout
More informationOrdinary Differential Equations
Orinary Differential Equations Example: Harmonic Oscillator For a perfect Hooke s-law spring,force as a function of isplacement is F = kx Combine with Newton s Secon Law: F = ma with v = a = v = 2 x 2
More informationMathematics. Circles. hsn.uk.net. Higher. Contents. Circles 1. CfE Edition
Higher Mathematics Contents 1 1 Representing a Circle A 1 Testing a Point A 3 The General Equation of a Circle A 4 Intersection of a Line an a Circle A 4 5 Tangents to A 5 6 Equations of Tangents to A
More informationCalculus BC Section II PART A A GRAPHING CALCULATOR IS REQUIRED FOR SOME PROBLEMS OR PARTS OF PROBLEMS
Calculus BC Section II PART A A GRAPHING CALCULATOR IS REQUIRED FOR SOME PROBLEMS OR PARTS OF PROBLEMS. An isosceles triangle, whose base is the interval from (0, 0) to (c, 0), has its verte on the graph
More informationImplicit Differentiation
Implicit Differentiation Implicit Differentiation Using the Chain Rule In the previous section we focuse on the erivatives of composites an saw that THEOREM 20 (Chain Rule) Suppose that u = g(x) is ifferentiable
More informationLagrangian and Hamiltonian Dynamics
Lagrangian an Hamiltonian Dynamics Volker Perlick (Lancaster University) Lecture 1 The Passage from Newtonian to Lagrangian Dynamics (Cockcroft Institute, 22 February 2010) Subjects covere Lecture 2: Discussion
More informationFinal Exam Study Guide and Practice Problems Solutions
Final Exam Stuy Guie an Practice Problems Solutions Note: These problems are just some of the types of problems that might appear on the exam. However, to fully prepare for the exam, in aition to making
More informationTMA 4195 Matematisk modellering Exam Tuesday December 16, :00 13:00 Problems and solution with additional comments
Problem F U L W D g m 3 2 s 2 0 0 0 0 2 kg 0 0 0 0 0 0 Table : Dimension matrix TMA 495 Matematisk moellering Exam Tuesay December 6, 2008 09:00 3:00 Problems an solution with aitional comments The necessary
More informationProblem set 2: Solutions Math 207B, Winter 2016
Problem set : Solutions Math 07B, Winter 016 1. A particle of mass m with position x(t) at time t has potential energy V ( x) an kinetic energy T = 1 m x t. The action of the particle over times t t 1
More informationEuler Equations: derivation, basic invariants and formulae
Euler Equations: erivation, basic invariants an formulae Mat 529, Lesson 1. 1 Derivation The incompressible Euler equations are couple with t u + u u + p = 0, (1) u = 0. (2) The unknown variable is the
More informationPartial Differential Equations
Chapter Partial Differential Equations. Introuction Have solve orinary ifferential equations, i.e. ones where there is one inepenent an one epenent variable. Only orinary ifferentiation is therefore involve.
More informationd dx [xn ] = nx n 1. (1) dy dx = 4x4 1 = 4x 3. Theorem 1.3 (Derivative of a constant function). If f(x) = k and k is a constant, then f (x) = 0.
Calculus refresher Disclaimer: I claim no original content on this ocument, which is mostly a summary-rewrite of what any stanar college calculus book offers. (Here I ve use Calculus by Dennis Zill.) I
More informationII. First variation of functionals
II. First variation of functionals The erivative of a function being zero is a necessary conition for the etremum of that function in orinary calculus. Let us now tackle the question of the equivalent
More informationAPPROXIMATE SOLUTION FOR TRANSIENT HEAT TRANSFER IN STATIC TURBULENT HE II. B. Baudouy. CEA/Saclay, DSM/DAPNIA/STCM Gif-sur-Yvette Cedex, France
APPROXIMAE SOLUION FOR RANSIEN HEA RANSFER IN SAIC URBULEN HE II B. Bauouy CEA/Saclay, DSM/DAPNIA/SCM 91191 Gif-sur-Yvette Ceex, France ABSRAC Analytical solution in one imension of the heat iffusion equation
More informationLecture 2 - First order linear PDEs and PDEs from physics
18.15 - Introuction to PEs, Fall 004 Prof. Gigliola Staffilani Lecture - First orer linear PEs an PEs from physics I mentione in the first class some basic PEs of first an secon orer. Toay we illustrate
More informationFree rotation of a rigid body 1 D. E. Soper 2 University of Oregon Physics 611, Theoretical Mechanics 5 November 2012
Free rotation of a rigi boy 1 D. E. Soper 2 University of Oregon Physics 611, Theoretical Mechanics 5 November 2012 1 Introuction In this section, we escribe the motion of a rigi boy that is free to rotate
More informationLecture 1b. Differential operators and orthogonal coordinates. Partial derivatives. Divergence and divergence theorem. Gradient. A y. + A y y dy. 1b.
b. Partial erivatives Lecture b Differential operators an orthogonal coorinates Recall from our calculus courses that the erivative of a function can be efine as f ()=lim 0 or using the central ifference
More informationChapter-2. Steady Stokes flow around deformed sphere. class of oblate axi-symmetric bodies
hapter- Steay Stoes flow aroun eforme sphere. class of oblate axi-symmetric boies. General In physical an biological sciences, an in engineering, there is a wie range of problems of interest lie seimentation
More informationSturm-Liouville Theory
LECTURE 5 Sturm-Liouville Theory In the three preceing lectures I emonstrate the utility of Fourier series in solving PDE/BVPs. As we ll now see, Fourier series are just the tip of the iceberg of the theory
More informationLinear First-Order Equations
5 Linear First-Orer Equations Linear first-orer ifferential equations make up another important class of ifferential equations that commonly arise in applications an are relatively easy to solve (in theory)
More informationNumerical Integrator. Graphics
1 Introuction CS229 Dynamics Hanout The question of the week is how owe write a ynamic simulator for particles, rigi boies, or an articulate character such as a human figure?" In their SIGGRPH course notes,
More informationUnit #6 - Families of Functions, Taylor Polynomials, l Hopital s Rule
Unit # - Families of Functions, Taylor Polynomials, l Hopital s Rule Some problems an solutions selecte or aapte from Hughes-Hallett Calculus. Critical Points. Consier the function f) = 54 +. b) a) Fin
More informationExperiment I Electric Force
Experiment I Electric Force Twenty-five hunre years ago, the Greek philosopher Thales foun that amber, the harene sap from a tree, attracte light objects when rubbe. Only twenty-four hunre years later,
More informationSurvey Sampling. 1 Design-based Inference. Kosuke Imai Department of Politics, Princeton University. February 19, 2013
Survey Sampling Kosuke Imai Department of Politics, Princeton University February 19, 2013 Survey sampling is one of the most commonly use ata collection methos for social scientists. We begin by escribing
More information11.7. Implicit Differentiation. Introduction. Prerequisites. Learning Outcomes
Implicit Differentiation 11.7 Introuction This Section introuces implicit ifferentiation which is use to ifferentiate functions expresse in implicit form (where the variables are foun together). Examples
More informationThe AdS/CFT Correspondence PI It from Qubit Summer School: Mukund Rangamani
Lecture The AS/CFT Corresponence PI It from Qubit Summer School: Mukun Rangamani Q. Large N expansion: Consier the following Lagrangian for a zero imensional fiel theory (matrix moel): L = (Tr (ΦΦ) + Tr
More informationSwitching Time Optimization in Discretized Hybrid Dynamical Systems
Switching Time Optimization in Discretize Hybri Dynamical Systems Kathrin Flaßkamp, To Murphey, an Sina Ober-Blöbaum Abstract Switching time optimization (STO) arises in systems that have a finite set
More informationd dx But have you ever seen a derivation of these results? We ll prove the first result below. cos h 1
Lecture 5 Some ifferentiation rules Trigonometric functions (Relevant section from Stewart, Seventh Eition: Section 3.3) You all know that sin = cos cos = sin. () But have you ever seen a erivation of
More informationCode_Aster. Detection of the singularities and computation of a card of size of elements
Titre : Détection es singularités et calcul une carte [...] Date : 0/0/0 Page : /6 Responsable : Josselin DLMAS Clé : R4.0.04 Révision : 9755 Detection of the singularities an computation of a car of size
More informationDepartment of Physics University of Maryland College Park, Maryland. Fall 2005 Final Exam Dec. 16, u 2 dt )2, L = m u 2 d θ, ( d θ
Department of Physics University of arylan College Park, arylan PHYSICS 4 Prof. S. J. Gates Fall 5 Final Exam Dec. 6, 5 This is a OPEN book examination. Rea the entire examination before you begin to work.
More informationLaplace s Equation in Cylindrical Coordinates and Bessel s Equation (II)
Laplace s Equation in Cylinrical Coorinates an Bessel s Equation (II Qualitative properties of Bessel functions of first an secon kin In the last lecture we foun the expression for the general solution
More information3.6. Implicit Differentiation. Implicitly Defined Functions
3.6 Implicit Differentiation 205 3.6 Implicit Differentiation 5 2 25 2 25 2 0 5 (3, ) Slope 3 FIGURE 3.36 The circle combines the graphs of two functions. The graph of 2 is the lower semicircle an passes
More informationExam 2 Review Solutions
Exam Review Solutions 1. True or False, an explain: (a) There exists a function f with continuous secon partial erivatives such that f x (x, y) = x + y f y = x y False. If the function has continuous secon
More informationApplications of the Wronskian to ordinary linear differential equations
Physics 116C Fall 2011 Applications of the Wronskian to orinary linear ifferential equations Consier a of n continuous functions y i (x) [i = 1,2,3,...,n], each of which is ifferentiable at least n times.
More informationChapter 6: Energy-Momentum Tensors
49 Chapter 6: Energy-Momentum Tensors This chapter outlines the general theory of energy an momentum conservation in terms of energy-momentum tensors, then applies these ieas to the case of Bohm's moel.
More information