The dynamics of the simple pendulum
|
|
- Leslie Wright
- 6 years ago
- Views:
Transcription
1 .,, 9 G. Voyatzis, ept. of Physics, University of hessaloniki he ynamics of the simple penulum Analytic methos of Mechanics + Computations with Mathematica Outline. he mathematical escription of the moel. he qualitative escription of the ynamics 3. Approximate solutions 4. he analytic solution
2 .,, 9 he mathematical escription of the moel z m r F, F B, B mgk r e e ( r r ) r ( r r ) B mg e mg sine e r r ml mg ( a) ml mg sin ( b) () l () x e e r Also, an ml V mgzmgl V ml mgl (3) quation ()a gives the tension applie by the rob 3 ml mg mgl (4) l > or < > < Penulum with rob Penulum with fiber We can show that 3, if mgl quation ()b gives the equation of motion or g l sin si n, g / l (5)
3 .,, 9 he integral of the O.D.. his is a n orer OD, autonomous, nonlinear an its integral is obtaine as (5) sin t const (6) he potential V V ( ) of (5) is V sin V sin V ( ) (7) V() /t -ð -ð ð ð quilibrium points : sin=,,4,... V '',3,5,... V '' Remark: We observe that the OD of motion is invariant uner the translation k, k Z, consequently, the system can be stuie in the interval or.
4 .,, 9 he phase space portrait è. è ṁax - - s S With of Separatrix 4 he three types of motion. S (v) (Librations) (Rotations) S (v) è Amplitue of libration For (), () we get or min arc, S (Separatrix) (v) 3 4 t S Perio of librations From the energy integral we get t (8) t ( ) Consiering the motion from ( t) to ( t), the integration of (8) gives t t (9) ( ) O Subsequently, ue to the symmetry of motion, we get 4 ( ) = min = = PND.NB
5 .,, 9 Approximations sin, V ( ) sin sin ( ) sin ( ) ( ) O( ) = (stable equilibrium) 6 3 sin... he st orer ( linear) approximation, V ( ) ( t) ( t) p sin( t), (), p () /, / he approximation up to 3 r orer , V ( ) V() he potential of the original system, the 3 r orer approximation an the linear approximation.
6 .,, 9 Approximate solution using aylor series We expan the solution (t), with initial conitions ()= an () p, as series aroun t= up to 3 r orer (3) () () 3 4 ( t) pt t t O( t ) Replace the above solution to the 3 r orer approximation of the OD 3 (3) () ( p p ) t O( t ) 6 We keep terms up to st orer (with respect to t) because they are sufficient to etermine the quantities () an () namely Put on the same orer terms 3 () 6 (3) p p (3) p () ( 6), () ( ) 6 We replace () an (3) () in the solution an we 3 4 ( t) pt ( 6) t p( ) t O( t ) Remark. he above solution is a vali approximation only in a small time interval tt, t. In orer to construct an approximate solution in an interval ( t, t ) we procee step by step applying the series solution for a small time step. PND.NB
7 .,, 9 he analytic solution. he moern way eq=''[t]+^ Sin[[t]]; sol=dsolve[eq,,t] Solve::ifun: Inverse functions are being use by Solve, so some solutions may not be foun; use Reuce for complete solution information. More Functiont,JacobiAmplitue Functiont,JacobiAmplitue C tc 4, C, C tc 4, C We obtain that the solution is given by the special function which takes two arguments, u an k : u JacobiAmplitue(u,m), CtC m 4 C C[] an C[] are the arbitrary constants of integrations which are relate to initial conitions. But if we solve the initial value problem DSolve[{eq, [], '[]},, t] we get {}. he analytic proceure (Librations) he solution is base on the elliptic integral of st kin * (llipticf[,k]) u F(, k) k: moulo of u k=mou z : amplitue of u =am(u,k) : JacobiAmplitue[u,k ] lliptic trigonometric functions are efine through the amplitue : sn(u,k)=sin(), cn(u,k)=() z * Harol Davis, Introuction to nonlinear ifferential an Integral equations, Dover publ., 96.
8 .,, 9 Consiering a libration of amplitue, i.e. an orbit of energy energy integral gives, the t () We procee to transformations of the left part of () in orer to integrate it. a) u u thus sin, b) : sin, Note that sin sin () sin( / ) an, / sin( / ) hus () sin sin k k By ifferentiating the transformation formula : k k k ( / ) sin ( / ) k (3) Substituting () an (3) in (), we get t ( t t), ( t) (4) a) Integration of (4) by using the expansions : x x x x... ( x ) sin ( sin ), sin ( 8sin sin 4 ), etc. / sin n 3 5 (n) 4 6 n
9 .,, 9 b) use of elliptic integrals Let consier initial conitions () i.e. (), () t F(, k) t am( t, k) or sin ( t) ArcSink sin (5) ( t) ArcSin k sn( t, k) or where k sin Perio of librations We recall that F(, k) t t F(, k), /, thus 4 4 F(, k) K( k) K(k)=F(/,k) : he complete elliptic integral of st kin (lliptick[k ]) PNDan.NB PNDnum.NB xercise: Show that the solution of the separatrix trajectory is given by the formula 4 t 4arctan e tan, ()
u t v t v t c a u t b a v t u t v t b a
Nonlinear Dynamical Systems In orer to iscuss nonlinear ynamical systems, we must first consier linear ynamical systems. Linear ynamical systems are just systems of linear equations like we have been stuying
More informationAutonomous Mechanical systems of 1 degree of freedom
Autonomous Mechanical systems of degree of freedom = f (, ), = y = y = f (, y) = f (, ) : position y : velocity f : force function Solution : = ( t; c, c), y = y( t; c, c ), ci = ci(, y) Integral of motion
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 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 informationSection The Chain Rule and Implicit Differentiation with Application on Derivative of Logarithm Functions
Section 3.4-3.6 The Chain Rule an Implicit Differentiation with Application on Derivative of Logarithm Functions Ruipeng Shen September 3r, 5th Ruipeng Shen MATH 1ZA3 September 3r, 5th 1 / 3 The Chain
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 informationθ x = f ( x,t) could be written as
9. Higher orer PDEs as systems of first-orer PDEs. Hyperbolic systems. For PDEs, as for ODEs, we may reuce the orer by efining new epenent variables. For example, in the case of the wave equation, (1)
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 informationBLOW-UP FORMULAS FOR ( 2)-SPHERES
BLOW-UP FORMULAS FOR 2)-SPHERES ROGIER BRUSSEE In this note we give a universal formula for the evaluation of the Donalson polynomials on 2)-spheres, i.e. smooth spheres of selfintersection 2. Note that
More informationMATH2231-Differentiation (2)
-Differentiation () The Beginnings of Calculus The prime occasion from which arose my iscovery of the metho of the Characteristic Triangle, an other things of the same sort, happene at a time when I ha
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 informationECE 422 Power System Operations & Planning 7 Transient Stability
ECE 4 Power System Operations & Planning 7 Transient Stability Spring 5 Instructor: Kai Sun References Saaat s Chapter.5 ~. EPRI Tutorial s Chapter 7 Kunur s Chapter 3 Transient Stability The ability of
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 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 informationAdvanced Partial Differential Equations with Applications
MIT OpenCourseWare http://ocw.mit.eu 18.306 Avance Partial Differential Equations with Applications Fall 2009 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.eu/terms.
More informationOutline. Calculus for the Life Sciences II. Introduction. Tides Introduction. Lecture Notes Differentiation of Trigonometric Functions
Calculus for the Life Sciences II c Functions Joseph M. Mahaffy, mahaffy@math.ssu.eu Department of Mathematics an Statistics Dynamical Systems Group Computational Sciences Research Center San Diego State
More informationLie symmetry and Mei conservation law of continuum system
Chin. Phys. B Vol. 20, No. 2 20 020 Lie symmetry an Mei conservation law of continuum system Shi Shen-Yang an Fu Jing-Li Department of Physics, Zhejiang Sci-Tech University, Hangzhou 3008, China Receive
More informationSemiclassical analysis of long-wavelength multiphoton processes: The Rydberg atom
PHYSICAL REVIEW A 69, 063409 (2004) Semiclassical analysis of long-wavelength multiphoton processes: The Ryberg atom Luz V. Vela-Arevalo* an Ronal F. Fox Center for Nonlinear Sciences an School of Physics,
More informationNested Saturation with Guaranteed Real Poles 1
Neste Saturation with Guarantee Real Poles Eric N Johnson 2 an Suresh K Kannan 3 School of Aerospace Engineering Georgia Institute of Technology, Atlanta, GA 3332 Abstract The global stabilization of asymptotically
More informationProject # 3 Assignment: Two-Species Lotka-Volterra Systems & the Pendulum Re-visited
Project # 3 Assignment: Two-Species Lotka-Volterra Systems & the Penulum Re-visite In 196 Volterra came up with a moel to escribe the evolution of preator an prey fish populations in the Ariatic Sea. Let
More informationarxiv: v1 [physics.class-ph] 20 Dec 2017
arxiv:1712.07328v1 [physics.class-ph] 20 Dec 2017 Demystifying the constancy of the Ermakov-Lewis invariant for a time epenent oscillator T. Pamanabhan IUCAA, Post Bag 4, Ganeshkhin, Pune - 411 007, Inia.
More informationmodel considered before, but the prey obey logistic growth in the absence of predators. In
5.2. First Orer Systems of Differential Equations. Phase Portraits an Linearity. Section Objective(s): Moifie Preator-Prey Moel. Graphical Representations of Solutions. Phase Portraits. Vector Fiels an
More informationChapter 2 Derivatives
Chapter Derivatives Section. An Intuitive Introuction to Derivatives Consier a function: Slope function: Derivative, f ' For each, the slope of f is the height of f ' Where f has a horizontal tangent line,
More informationBackward Bifurcation of Sir Epidemic Model with Non- Monotonic Incidence Rate under Treatment
OSR Journal of Mathematics (OSR-JM) e-ssn: 78-578, p-ssn: 39-765X. Volume, ssue 4 Ver. (Jul-Aug. 4), PP -3 Backwar Bifurcation of Sir Epiemic Moel with Non- Monotonic ncience Rate uner Treatment D. Jasmine
More informationF 1 x 1,,x n. F n x 1,,x n
Chapter Four Dynamical Systems 4. Introuction The previous chapter has been evote to the analysis of systems of first orer linear ODE s. In this chapter we will consier systems of first orer ODE s that
More informationDifferentiability, Computing Derivatives, Trig Review. Goals:
Secants vs. Derivatives - Unit #3 : Goals: Differentiability, Computing Derivatives, Trig Review Determine when a function is ifferentiable at a point Relate the erivative graph to the the graph of an
More informationSYDE 112, LECTURE 1: Review & Antidifferentiation
SYDE 112, LECTURE 1: Review & Antiifferentiation 1 Course Information For a etaile breakown of the course content an available resources, see the Course Outline. Other relevant information for this section
More informationON THE RIEMANN EXTENSION OF THE SCHWARZSCHILD METRICS
ON THE RIEANN EXTENSION OF THE SCHWARZSCHILD ETRICS Valerii Dryuma arxiv:gr-qc/040415v1 30 Apr 004 Institute of athematics an Informatics, AS R, 5 Acaemiei Street, 08 Chisinau, olova, e-mail: valery@ryuma.com;
More informationSlide10 Haykin Chapter 14: Neurodynamics (3rd Ed. Chapter 13)
Slie10 Haykin Chapter 14: Neuroynamics (3r E. Chapter 13) CPSC 636-600 Instructor: Yoonsuck Choe Spring 2012 Neural Networks with Temporal Behavior Inclusion of feeback gives temporal characteristics to
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 information3.7 Implicit Differentiation -- A Brief Introduction -- Student Notes
Fin these erivatives of these functions: y.7 Implicit Differentiation -- A Brief Introuction -- Stuent Notes tan y sin tan = sin y e = e = Write the inverses of these functions: y tan y sin How woul we
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 informationOptimization of a point-mass walking model using direct collocation and sequential quadratic programming
Optimization of a point-mass walking moel using irect collocation an sequential quaratic programming Chris Dembia June 5, 5 Telescoping actuator y Stance leg Point-mass boy m (x,y) Swing leg x Leg uring
More informationx f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0.
Engineering Mathematics 2 26 February 2014 Limits of functions Consier the function 1 f() = 1. The omain of this function is R + \ {1}. The function is not efine at 1. What happens when is close to 1?
More informationMinimum-time constrained velocity planning
7th Meiterranean Conference on Control & Automation Makeonia Palace, Thessaloniki, Greece June 4-6, 9 Minimum-time constraine velocity planning Gabriele Lini, Luca Consolini, Aurelio Piazzi Università
More informationApproximate reduction of dynamic systems
Systems & Control Letters 57 2008 538 545 www.elsevier.com/locate/sysconle Approximate reuction of ynamic systems Paulo Tabuaa a,, Aaron D. Ames b, Agung Julius c, George J. Pappas c a Department of Electrical
More informationSection 2.1 The Derivative and the Tangent Line Problem
Chapter 2 Differentiation Course Number Section 2.1 The Derivative an the Tangent Line Problem Objective: In this lesson you learne how to fin the erivative of a function using the limit efinition an unerstan
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 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 informationMath Implicit Differentiation. We have discovered (and proved) formulas for finding derivatives of functions like
Math 400 3.5 Implicit Differentiation Name We have iscovere (an prove) formulas for fining erivatives of functions like f x x 3x 4x. 3 This amounts to fining y for 3 y x 3x 4x. Notice that in this case,
More informationELEC3114 Control Systems 1
ELEC34 Control Systems Linear Systems - Moelling - Some Issues Session 2, 2007 Introuction Linear systems may be represente in a number of ifferent ways. Figure shows the relationship between various representations.
More informationCommun Nonlinear Sci Numer Simulat
Commun Nonlinear Sci Numer Simulat 14 (2009) 3901 3913 Contents lists available at ScienceDirect Commun Nonlinear Sci Numer Simulat journal homepage: www.elsevier.com/locate/cnsns Dynamics of a ring network
More informationRobust Tracking Control of Robot Manipulator Using Dissipativity Theory
Moern Applie Science July 008 Robust racking Control of Robot Manipulator Using Dissipativity heory Hongrui Wang Key Lab of Inustrial Computer Control Engineering of Hebei Province Yanshan University Qinhuangao
More informationx f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0.
Engineering Mathematics 2 26 February 2014 Limits of functions Consier the function 1 f() = 1. The omain of this function is R + \ {1}. The function is not efine at 1. What happens when is close to 1?
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 information18 EVEN MORE CALCULUS
8 EVEN MORE CALCULUS Chapter 8 Even More Calculus Objectives After stuing this chapter you shoul be able to ifferentiate an integrate basic trigonometric functions; unerstan how to calculate rates of change;
More informationHarmonic Modelling of Thyristor Bridges using a Simplified Time Domain Method
1 Harmonic Moelling of Thyristor Briges using a Simplifie Time Domain Metho P. W. Lehn, Senior Member IEEE, an G. Ebner Abstract The paper presents time omain methos for harmonic analysis of a 6-pulse
More information6.003 Homework #7 Solutions
6.003 Homework #7 Solutions Problems. Secon-orer systems The impulse response of a secon-orer CT system has the form h(t) = e σt cos(ω t + φ)u(t) where the parameters σ, ω, an φ are relate to the parameters
More information'HVLJQ &RQVLGHUDWLRQ LQ 0DWHULDO 6HOHFWLRQ 'HVLJQ 6HQVLWLYLW\,1752'8&7,21
Large amping in a structural material may be either esirable or unesirable, epening on the engineering application at han. For example, amping is a esirable property to the esigner concerne with limiting
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 informationApproximate Reduction of Dynamical Systems
Proceeings of the 4th IEEE Conference on Decision & Control Manchester Gran Hyatt Hotel San Diego, CA, USA, December 3-, 6 FrIP.7 Approximate Reuction of Dynamical Systems Paulo Tabuaa, Aaron D. Ames,
More informationApplications of First Order Equations
Applications of First Orer Equations Viscous Friction Consier a small mass that has been roppe into a thin vertical tube of viscous flui lie oil. The mass falls, ue to the force of gravity, but falls more
More informationDesigning Information Devices and Systems II Spring 2018 J. Roychowdhury and M. Maharbiz Discussion 2A
EECS 6B Designing Information Devices an Systems II Spring 208 J. Roychowhury an M. Maharbiz Discussion 2A Secon-Orer Differential Equations Secon-orer ifferential equations are ifferential equations of
More informationPhysics 505 Electricity and Magnetism Fall 2003 Prof. G. Raithel. Problem Set 3. 2 (x x ) 2 + (y y ) 2 + (z + z ) 2
Physics 505 Electricity an Magnetism Fall 003 Prof. G. Raithel Problem Set 3 Problem.7 5 Points a): Green s function: Using cartesian coorinates x = (x, y, z), it is G(x, x ) = 1 (x x ) + (y y ) + (z z
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 informationDiophantine Approximations: Examining the Farey Process and its Method on Producing Best Approximations
Diophantine Approximations: Examining the Farey Process an its Metho on Proucing Best Approximations Kelly Bowen Introuction When a person hears the phrase irrational number, one oes not think of anything
More informationAlgebrability of the set of non-convergent Fourier series
STUDIA MATHEMATICA 75 () (2006) Algebrability of the set of non-convergent Fourier series by Richar M. Aron (Kent, OH), Davi Pérez-García (Mari) an Juan B. Seoane-Sepúlvea (Kent, OH) Abstract. We show
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 informationA Note on Exact Solutions to Linear Differential Equations by the Matrix Exponential
Avances in Applie Mathematics an Mechanics Av. Appl. Math. Mech. Vol. 1 No. 4 pp. 573-580 DOI: 10.4208/aamm.09-m0946 August 2009 A Note on Exact Solutions to Linear Differential Equations by the Matrix
More informationSELF-ERECTING, ROTARY MOTION INVERTED PENDULUM Quanser Consulting Inc.
SELF-ERECTING, ROTARY MOTION INVERTED PENDULUM Quanser Consulting Inc. 1.0 SYSTEM DESCRIPTION The sel-erecting rotary motion inverte penulum consists of a rotary servo motor system (SRV-02) which rives
More informationNon-Equilibrium Continuum Physics TA session #10 TA: Yohai Bar Sinai Dislocations
Non-Equilibrium Continuum Physics TA session #0 TA: Yohai Bar Sinai 0.06.206 Dislocations References There are countless books about islocations. The ones that I recommen are Theory of islocations, Hirth
More informationOrdinary Differential Equations: Homework 1
Orinary Differential Equations: Homework 1 M. Gameiro, J.-P. Lessar, J.D. Mireles James, K. Mischaikow January 12, 2017 2 Chapter 1 Motivation 1.1 Exercises Exercise 1.1.1. (Frictionless spring) Consier
More information6 General properties of an autonomous system of two first order ODE
6 General properties of an autonomous system of two first orer ODE Here we embark on stuying the autonomous system of two first orer ifferential equations of the form ẋ 1 = f 1 (, x 2 ), ẋ 2 = f 2 (, x
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 informationLATTICE-BASED D-OPTIMUM DESIGN FOR FOURIER REGRESSION
The Annals of Statistics 1997, Vol. 25, No. 6, 2313 2327 LATTICE-BASED D-OPTIMUM DESIGN FOR FOURIER REGRESSION By Eva Riccomagno, 1 Rainer Schwabe 2 an Henry P. Wynn 1 University of Warwick, Technische
More informationBEYOND THE CONSTRUCTION OF OPTIMAL SWITCHING SURFACES FOR AUTONOMOUS HYBRID SYSTEMS. Mauro Boccadoro Magnus Egerstedt Paolo Valigi Yorai Wardi
BEYOND THE CONSTRUCTION OF OPTIMAL SWITCHING SURFACES FOR AUTONOMOUS HYBRID SYSTEMS Mauro Boccaoro Magnus Egerstet Paolo Valigi Yorai Wari {boccaoro,valigi}@iei.unipg.it Dipartimento i Ingegneria Elettronica
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 informationMATH , 06 Differential Equations Section 03: MWF 1:00pm-1:50pm McLaury 306 Section 06: MWF 3:00pm-3:50pm EEP 208
MATH 321-03, 06 Differential Equations Section 03: MWF 1:00pm-1:50pm McLaury 306 Section 06: MWF 3:00pm-3:50pm EEP 208 Instructor: Brent Deschamp Email: brent.eschamp@ssmt.eu Office: McLaury 316B Phone:
More informationAnalytic Scaling Formulas for Crossed Laser Acceleration in Vacuum
October 6, 4 ARDB Note Analytic Scaling Formulas for Crosse Laser Acceleration in Vacuum Robert J. Noble Stanfor Linear Accelerator Center, Stanfor University 575 San Hill Roa, Menlo Park, California 945
More informationSummary: Differentiation
Techniques of Differentiation. Inverse Trigonometric functions The basic formulas (available in MF5 are: Summary: Differentiation ( sin ( cos The basic formula can be generalize as follows: Note: ( sin
More informationMath 1271 Solutions for Fall 2005 Final Exam
Math 7 Solutions for Fall 5 Final Eam ) Since the equation + y = e y cannot be rearrange algebraically in orer to write y as an eplicit function of, we must instea ifferentiate this relation implicitly
More information4. Important theorems in quantum mechanics
TFY4215 Kjemisk fysikk og kvantemekanikk - Tillegg 4 1 TILLEGG 4 4. Important theorems in quantum mechanics Before attacking three-imensional potentials in the next chapter, we shall in chapter 4 of this
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 informationarxiv: v1 [math-ph] 5 May 2014
DIFFERENTIAL-ALGEBRAIC SOLUTIONS OF THE HEAT EQUATION VICTOR M. BUCHSTABER, ELENA YU. NETAY arxiv:1405.0926v1 [math-ph] 5 May 2014 Abstract. In this work we introuce the notion of ifferential-algebraic
More informationARBITRARY NUMBER OF LIMIT CYCLES FOR PLANAR DISCONTINUOUS PIECEWISE LINEAR DIFFERENTIAL SYSTEMS WITH TWO ZONES
Electronic Journal of Differential Equations, Vol. 2015 (2015), No. 228, pp. 1 12. ISSN: 1072-6691. URL: http://eje.math.txstate.eu or http://eje.math.unt.eu ftp eje.math.txstate.eu ARBITRARY NUMBER OF
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 informationLogarithmic, Exponential and Other Transcendental Functions
Logarithmic, Eponential an Other Transcenental Fnctions 5: The Natral Logarithmic Fnction: Differentiation The Definition First, yo mst know the real efinition of the natral logarithm: ln= t (where > 0)
More informationG4003 Advanced Mechanics 1. We already saw that if q is a cyclic variable, the associated conjugate momentum is conserved, L = const.
G4003 Avance Mechanics 1 The Noether theorem We alreay saw that if q is a cyclic variable, the associate conjugate momentum is conserve, q = 0 p q = const. (1) This is the simplest incarnation of Noether
More informationTHE VAN KAMPEN EXPANSION FOR LINKED DUFFING LINEAR OSCILLATORS EXCITED BY COLORED NOISE
Journal of Soun an Vibration (1996) 191(3), 397 414 THE VAN KAMPEN EXPANSION FOR LINKED DUFFING LINEAR OSCILLATORS EXCITED BY COLORED NOISE E. M. WEINSTEIN Galaxy Scientific Corporation, 2500 English Creek
More informationGoldstein Chapter 1 Exercises
Golstein Chapter 1 Exercises Michael Goo July 17, 2004 1 Exercises 11. Consier a uniform thin isk that rolls without slipping on a horizontal plane. A horizontal force is applie to the center of the isk
More informationAN INTRODUCTION TO NUMERICAL METHODS USING MATHCAD. Mathcad Release 14. Khyruddin Akbar Ansari, Ph.D., P.E.
AN INTRODUCTION TO NUMERICAL METHODS USING MATHCAD Mathca Release 14 Khyruin Akbar Ansari, Ph.D., P.E. Professor of Mechanical Engineering School of Engineering an Applie Science Gonzaga University SDC
More informationDefine each term or concept.
Chapter Differentiation Course Number Section.1 The Derivative an the Tangent Line Problem Objective: In this lesson you learne how to fin the erivative of a function using the limit efinition an unerstan
More informationHeteroclinic bifurcations near Hopf-zero bifurcation in reversible vector fields in R 3
Heteroclinic bifurcations near Hopf-zero bifurcation in reversible vector fiels in R 3 Jeroen S.W. Lamb, 1 Marco-Antonio Teixeira, 2 an Kevin N. Webster 1 1 Department of Mathematics, Imperial College,
More informationOn the number of isolated eigenvalues of a pair of particles in a quantum wire
On the number of isolate eigenvalues of a pair of particles in a quantum wire arxiv:1812.11804v1 [math-ph] 31 Dec 2018 Joachim Kerner 1 Department of Mathematics an Computer Science FernUniversität in
More informationAnalytical accuracy of the one dimensional heat transfer in geometry with logarithmic various surfaces
Cent. Eur. J. Eng. 4(4) 014 341-351 DOI: 10.478/s13531-013-0176-8 Central European Journal of Engineering Analytical accuracy of the one imensional heat transfer in geometry with logarithmic various surfaces
More informationSolutions to Math 41 Second Exam November 4, 2010
Solutions to Math 41 Secon Exam November 4, 2010 1. (13 points) Differentiate, using the metho of your choice. (a) p(t) = ln(sec t + tan t) + log 2 (2 + t) (4 points) Using the rule for the erivative of
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 informationThe proper definition of the added mass for the water entry problem
The proper efinition of the ae mass for the water entry problem Leonaro Casetta lecasetta@ig.com.br Celso P. Pesce ceppesce@usp.br LIE&MO lui-structure Interaction an Offshore Mechanics Laboratory Mechanical
More informationShort Review of Basic Mathematics
Short Review of Basic Mathematics Tomas Co January 1, 1 c 8 Tomas Co, all rights reserve Contents 1 Review of Functions 5 11 Mathematical Ientities 5 1 Drills 7 1 Answers to Drills 8 Review of ODE Solutions
More informationEnergy behaviour of the Boris method for charged-particle dynamics
Version of 25 April 218 Energy behaviour of the Boris metho for charge-particle ynamics Ernst Hairer 1, Christian Lubich 2 Abstract The Boris algorithm is a wiely use numerical integrator for the motion
More informationLINEAR DIFFERENTIAL EQUATIONS OF ORDER 1. where a(x) and b(x) are functions. Observe that this class of equations includes equations of the form
LINEAR DIFFERENTIAL EQUATIONS OF ORDER 1 We consier ifferential equations of the form y + a()y = b(), (1) y( 0 ) = y 0, where a() an b() are functions. Observe that this class of equations inclues equations
More informationAlpha Particle scattering
Introuction Alpha Particle scattering Revise Jan. 11, 014 In this lab you will stuy the interaction of α-particles ( 4 He) with matter, in particular energy loss an elastic scattering from a gol target
More informationMath Differential Equations Material Covering Lab 2
Math 366 - Differential Equations Material Covering Lab 2 Separable Equations A separable equation is a first-orer ODE that can be written in the form y'= g x $h y This is the general metho to solve such
More informationv r 1 E β ; v r v r 2 , t t 2 , t t 1 , t 1 1 v 2 v (3) 2 ; v χ αβγδ r 3 dt 3 , t t 3 ) βγδ [ R 3 ] exp +i ω 3 [ ] τ 1 exp i k v [ ] χ αβγ , τ 1 dτ 3
ON CLASSICAL ELECTROMAGNETIC FIELDS PAGE 58 VII. NONLINEAR OPTICS -- CLASSICAL PICTURE: AN EXTENDED PHENOMENOLOGICAL MODEL OF POLARIZATION : As an introuction to the subject of nonlinear optical phenomena,
More informationPhysics 5153 Classical Mechanics. The Virial Theorem and The Poisson Bracket-1
Physics 5153 Classical Mechanics The Virial Theorem an The Poisson Bracket 1 Introuction In this lecture we will consier two applications of the Hamiltonian. The first, the Virial Theorem, applies to systems
More informationSome functions and their derivatives
Chapter Some functions an their erivatives. Derivative of x n for integer n Recall, from eqn (.6), for y = f (x), Also recall that, for integer n, Hence, if y = x n then y x = lim δx 0 (a + b) n = a n
More informationKinematics of Rotations: A Summary
A Kinematics of Rotations: A Summary The purpose of this appenix is to outline proofs of some results in the realm of kinematics of rotations that were invoke in the preceing chapters. Further etails are
More informationStrength Analysis of CFRP Composite Material Considering Multiple Fracture Modes
5--XXXX Strength Analysis of CFRP Composite Material Consiering Multiple Fracture Moes Author, co-author (Do NOT enter this information. It will be pulle from participant tab in MyTechZone) Affiliation
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 informationI. INTRODUCTION In this work we analize the slow roll approximation in cosmological moels of nonminimally couple theories of gravity (NMC) starting fr
Slow Roll Ination in Non-Minimally Couple Theories: Hyperextene Gravity Approach Diego F. Torres Departamento e Fsica, Universia Nacional e La Plata C.C. 67, 900, La Plata, Buenos Aires, Argentina Abstract
More information