MEG6007: Advanced Dynamics -Principles and Computational Methods (Fall, 2017) Lecture 4: Euler-Lagrange Equations via Hamilton s Principle

Similar documents
Conservation Law. Chapter Goal. 6.2 Theory

EULER-LAGRANGE EQUATIONS. Contents. 2. Variational formulation 2 3. Constrained systems and d Alembert principle Legendre transform 6

Course 2BA1 Supplement concerning Integration by Parts

Chapter 2. Constraints, Lagrange s equations

LECTURE 3. Orthogonal Functions. n X. It should be noted, however, that the vectors f i need not be orthogonal nor need they have unit length for

1.2. Linear Variable Coefficient Equations. y + b "! = a y + b " Remark: The case b = 0 and a non-constant can be solved with the same idea as above.

Overview of Calculus

PHYS 601 HW3 Solution

MatFys. Week 2, Nov , 2005, revised Nov. 23

Classical Mechanics. From Molecular to Con/nuum Physics I WS 11/12 Emiliano Ippoli/ October, 2011

1.9 C 2 inner variations

Review on Integration (Secs ) Review: Sec Origins of Calculus. Riemann Sums. New functions from old ones.

The Basic Functional 2 1

f a L Most reasonable functions are continuous, as seen in the following theorem:

CHAPTER 9 BASIC CONCEPTS OF DIFFERENTIAL AND INTEGRAL CALCULUS

Introduction to the Calculus of Variations

ES.181A Topic 8 Notes Jeremy Orloff

Review of Calculus, cont d

Conservation Laws and Poynting

Definition of Continuity: The function f(x) is continuous at x = a if f(a) exists and lim

VII. The Integral. 50. Area under a Graph. y = f(x)

1 The Riemann Integral

Recall Taylor s Theorem for a function f(x) in three dimensions with a displacement δx = (δx, δy, δz): δx + δy + δz + higher order terms. = f. δx +.

If we have a function f(x) which is well-defined for some a x b, its integral over those two values is defined as

Figure 1: Double pendulum system

4. Calculus of Variations

Homework Assignment 5 Solution Set

Chapter 4. Additional Variational Concepts

1.6 Mechanical Systems

Notes on the Eigenfunction Method for solving differential equations

5.4, 6.1, 6.2 Handout. As we ve discussed, the integral is in some way the opposite of taking a derivative. The exact relationship

The Fundamental Theorem of Calculus. The Total Change Theorem and the Area Under a Curve.

Introduction to ODE's (0A) Young Won Lim 3/12/15

MATH , Calculus 2, Fall 2018

A REVIEW OF CALCULUS CONCEPTS FOR JDEP 384H. Thomas Shores Department of Mathematics University of Nebraska Spring 2007

1.1. Linear Constant Coefficient Equations. Remark: A differential equation is an equation

M 106 Integral Calculus and Applications

Calculus of Variations

ax bx c (2) x a x a x a 1! 2!! gives a useful way of approximating a function near to some specific point x a, giving a power-series expansion in x

Improper Integrals, and Differential Equations

4.5 THE FUNDAMENTAL THEOREM OF CALCULUS

Math 115 ( ) Yum-Tong Siu 1. Lagrange Multipliers and Variational Problems with Constraints. F (x,y,y )dx

Jim Lambers MAT 280 Spring Semester Lecture 17 Notes. These notes correspond to Section 13.2 in Stewart and Section 7.2 in Marsden and Tromba.

Section 6.3 The Fundamental Theorem, Part I

Harman Outline 1A1 Integral Calculus CENG 5131

Definite integral. Mathematics FRDIS MENDELU

Conservation Law. Chapter Goal. 5.2 Theory

Definite integral. Mathematics FRDIS MENDELU. Simona Fišnarová (Mendel University) Definite integral MENDELU 1 / 30

Physics 161: Black Holes: Lecture 6: 14 Jan 2011

Summary: Method of Separation of Variables

Introduction and Review

Introduction. Calculus I. Calculus II: The Area Problem

Week 12 Notes. Aim: How do we use differentiation to maximize/minimize certain values (e.g. profit, cost,

Introduction. Calculus I. Calculus II: The Area Problem

Math 100 Review Sheet

INDIAN INSTITUTE OF TECHNOLOGY BOMBAY MA205 Complex Analysis Autumn 2012

Generalizations of the Basic Functional

Advanced Calculus: MATH 410 Uniform Convergence of Functions Professor David Levermore 11 December 2015

Lagrangian Dynamics: Derivations of Lagrange s Equations

5.3 The Fundamental Theorem of Calculus

School of Business. Blank Page

Basic Derivative Properties

Math 8 Winter 2015 Applications of Integration

1 The fundamental theorems of calculus.

Physics 116C Solution of inhomogeneous ordinary differential equations using Green s functions

Indefinite Integral. Chapter Integration - reverse of differentiation

Higher Checklist (Unit 3) Higher Checklist (Unit 3) Vectors

Solutions to Homework Set 3

1.3 The Lemma of DuBois-Reymond

MA 124 January 18, Derivatives are. Integrals are.

Matrix & Vector Basic Linear Algebra & Calculus

B Veitch. Calculus I Study Guide

First variation. (one-variable problem) January 14, 2013

ES 111 Mathematical Methods in the Earth Sciences Lecture Outline 1 - Thurs 28th Sept 17 Review of trigonometry and basic calculus

63. Representation of functions as power series Consider a power series. ( 1) n x 2n for all 1 < x < 1

Math 3B: Lecture 9. Noah White. October 18, 2017

Line Integrals. Chapter Definition

Problem 1. Brachistochrone time-of-flight

lim P(t a,b) = Differentiate (1) and use the definition of the probability current, j = i (

Theoretical foundations of Gaussian quadrature

Continuous Random Variables

Sturm-Liouville Theory

Calculus of Variations: The Direct Approach

NUMERICAL INTEGRATION. The inverse process to differentiation in calculus is integration. Mathematically, integration is represented by.

Some Methods in the Calculus of Variations

Homework Problem Set 1 Solutions

13.4 Work done by Constant Forces

THE EXISTENCE-UNIQUENESS THEOREM FOR FIRST-ORDER DIFFERENTIAL EQUATIONS.

Lecture 1. Functional series. Pointwise and uniform convergence.

Line Integrals. Partitioning the Curve. Estimating the Mass

Final Exam - Review MATH Spring 2017

UNIFORM CONVERGENCE MA 403: REAL ANALYSIS, INSTRUCTOR: B. V. LIMAYE

Introduction to Complex Variables Class Notes Instructor: Louis Block

Variational Problems

Advanced Calculus: MATH 410 Notes on Integrals and Integrability Professor David Levermore 17 October 2004

The Form of Hanging Slinky

Math 113 Exam 1-Review

The final exam will take place on Friday May 11th from 8am 11am in Evans room 60.

Special notes. ftp://ftp.math.gatech.edu/pub/users/heil/1501. Chapter 1

cha1873x_p06.qxd 4/12/05 11:50 AM Page 568 PART SIX

Transcription:

MEG6007: Avnce Dynmics -Principles n Computtionl Methos (Fll, 2017) Lecture 4: Euler-Lgrnge Equtions vi Hmilton s Principle This lecture covers: Begin with Alembert s Principle. Cst the virtul work emnting from Alembert s principle into the time-efinite integrl to obtin Hmilton s Principle. Crry out the vrition of the time-efinite integrl to obtin the Euler-Lgrnge equtions of motion. Apply the Euler-Lgrnge equtions of motion to simple exmple problems. 4.1 A Précis of Euler s n Lgrnge s contributions to mechnics (s well s science n mthemtics) 4.1.1 Leonhr Euler (1707-1783) Nturl logrithmic constnt: e = lim n (1+ 1 n )n = 2.718281828459045 Introuction of mny mthemticl nottions: f(x) s function f pplie to the rgument x. Series expnsion of e x = n=0 x n n! Complex exponentil function e iθ = cos θ + i sin θ 1

Euler-Bernoulli bem theory: EI 4 w x 4 = q(x) Euler s rottionl equtions for rigi boy(theori motus corporum soliorum seu rigiorum, 1760): J ω + ω (J ω) = M Euler ngles to represent the orienttion of soli boy in the 3-imensionl spce. 4.1.2 Joseph-Louis Lgrnge (1736-1813) His book, Mécnique Anlytique, ppere in 1788. In tht book, Lgrnge orgnize the principles of ynmics into the four principles the conservtion of living forces (first trete by Glileo n perfecte by Huyghens); the conservtion of the motion of the center of grvity(newton); the conservtion of moments or the principle of res (Euler, Bernoulli, Arcy); n the principle of the lest quntity of ction (Mupertuis). Metho of multipliers, now referre to s Lgrnge s metho of multipliers. The principle of virtul work (or sometimes referre to of virtul velocities). He solve the three-boy(erth, Sun n Moon) problem(1764) n ientifie the so-clle Lgrngin points in the Erth- Moon-stellite system (http://en.wikipei.org/wiki/lgrngin points). His nme is inscribe on the Eiffel Tower long with 71 other nmes. 2

4.2 Extene Hmilton s Principle Let s begin with Alembert s principle: (F i m i r i ) δr i = 0 δt + δ W t (m iṙ i δr i ) = 0, δw = F i δr i, δt = δt i, δt i = δ( 1m 2 iṙ i ṙ i ) i (4.1) Let s integrte (4.1) in time: {δt + δ W {δt + δ W } t = t (m iṙ i δr i )} t = 0 t (m iṙ i δr i ) t (4.2) Noting tht we hve t (m iṙ i δr i ) t = so tht, if r i ( ) n r i (t 2 ) re specifie, we hve (m i ṙ i δr i ) t 2 t1 (4.3) δr i ( ) = δr i (t 2 ) = 0 (4.4) Hence, eqution (4.1) becomes {δt + δ W } t = 0 (4.5) which is known s extene Hmilton s principle. In generl the work one, δ W, consists of two prts: 3

δ W = δ W cons + δ W noncons (4.6) where subscripts cons n noncons esignte conservtive n nonconservtive systems, respectively. 4.3 Hmilton s Principle for Conservtive Systems For conservtive systems, we hve hve from (4.5) n (4.6) with δ W noncons = 0: {δt + δ W cons } t = 0 (4.7) which is known s Hmilton s principle for conservtive systems. 4.4 Action Integrl for Conservtive Systems Observe tht the work one on the conservtive systems cn be expresse in terms of the corresponing potentil energy: δ W rref cons = δv, V = ( r F i r i ) (4.8) Substituting (4.8) into (4.7), one obtins: {δt δv } t = 0 {δt δv } t = 0 (4.9) δs = {δl} t = 0, L = T V where L is clle system Lgrngin. 4

4.5 Euler-Lgrnge Eqution s of Motion Let s substitute the generl work expression (4.6) into the extene Hmilton s principle (4.5) to obtin: {δt + δ W cons + δ W noncons } t = 0 (4.10) which, with (4.8) n the efinition of the system Lgrngin L = T V, becomes {δl + δ W noncons } t = 0 (4.11) Since δl cn be expresse in terms of the generlize coorintes s δl = one obtins { L δ q k + L δq k } (4.12) q k q k δl t = { L δ q k + L δq k } t (4.13) q k q k Integrting by prt the first term of the preceing integrl, we obtin { L δ q k } t = { L δq k } t 2 q k q k t1 { t ( L )δq k } t q k (4.14) Since δq i ( ) = δq(t 2 ) = 0 s we iscusse in eriving (4.4), we hve { L δ q k } t = q k { t ( L )δq k } t (4.15) q k Substituting (4.15) into (4.13), then introucing the resulting 5

expression into (4.11), we finlly obtin: { t ( L ) + L + Q k }δq k t = 0, δ q k q W noncons = Q k δq k k (4.16) Since δq k re rbitrry, we obtin: t ( L q k ) L q k = Q k (4.17) which is clle Euler-Lgrnge s equtions of motion. 4.6 Appliction of Euler-Lgrge s Equtions of Motion: A Spring-Mss-Br System for Euler-Lgrnge s Equtions Notice below how simple the problem escription n its erivtion become now! Step 1. The position vectors for the exmple problem: Position vectors of the sliing mss M, the penulum br t C, n B where the nonconservtive force F is pplie re given by: r A = xi r C = xi + L (sin θi cos θj) 2 r B = xi + L(sin θi cos θj) (4.18) r C = L 2 j Step 2. The kinetic energy of the exmple problem: 6

Fig. 1. An exmple problem for pplying Euler-Lgrnge s equtions of motion T = 1 2 m(ṙ A ṙ A ) + 1 2 M(ṙ C ṙ C ) + 1 2 I C θ 2 (4.19) = 1 2 [(M + m)ẋ2 + MLẋ θ cos θ + 1 3 ML2 θ2 ] Step 3. Potentil energy: V totl = V spring + V grvity V spring = V grvity = 0 x rc r C ( kxi) r A = 1 2 kx2 ( Mgj) r C (4.20) = Mg L (1 cos θ) 2 Step 4. Nonconservtive work δ W noncons : δ W noncons = F B δr B = F i [δxi + L(cos θi + sin θj)δθ] = F (δx + L cos θ δθ) Q x = F, Q θ = F L cos θ (4.21) Note tht there re only two stte vribles: x n θ in the 7

system kinetic energy, potentil energy n the nonconservtive work. Step 5. Euler-Lgrnge s Equtions of Motion for Exmple Problem t ( L ẋ ) L x = Q x = F t ( L L ) θ θ = Q θ = F L cos θ t [(M + m)ẋ + 1 2 ML θ cos θ] + kx = F ML 6 t (2L θ + 3ẋ cos θ) + 1ML(ẋ θ + g) sin θ = F L cos θ 2 (4.22) 4.7 Mthemticl Derivtion of the Euler-Lgrnge Equtions Mthemticl erivtion of the Euler-Lgrnge equtions cn be crrie out by utilizing the clculus of vritions of efinite integrl. To this en, let us now ress how one obtins sttionry vlue of function vi the clculus of vritions. First, the concept of virtul isplcement shoul not be confuse with the concept of the vrition of function. For we hve the virtul isplcement t our isposl, but the vrition of the function is not. Suppose we re to obtin sttionry vlue of Π = G(y, y, x)x (4.23) with the bounry conitions y() = α, y(b) = β (4.24) 8

Assume tht y = f(x) by hypothesis gives sttionry vlue to Π. One wy to prove this to be true is to evlute the sme integrl for slightly moifie function ȳ n estblish tht the rte of chnge of Π ue to the chnge in y is zero (why?). We cn thus write ȳ = f(x) + ɛg(x) = y(x) + ɛg(x) (4.25) where g(x) is n rbitrry function tht must be continuous n ifferentible s y. Since g(x) is n rbitrry function, this ifference is clle the vrition of the function y n is enote by δy: δy = ȳ y = ɛg(x) (4.26) This is seemingly trivil expression but there is n importnt property: The vrition of δy refers to n rbitrry infinitesiml chnge of the vlue of the epenent vrible of y, t the point x. The inepenent vrible, x, oes not prticipte in the process of vrition. A consequence of the bove sttement is δx = 0, (4.27) thus resulting in δy() = δy(b) = 0 (4.28) Before we procee to minimize Π in (4.23), we nee to estblish two itionl properties of the δ-process. Since G(y, y, x) involves y, we nee to know how to express δy. To this en, we note from (4.26) x δy = (ȳ y) = x x (ɛg(x)) = ɛg (4.29) which is the erivtive of the vrition δy. On the other hn, 9

for the vrition of the erivtive, we hve δy = ȳ y = (y + ɛg) y = ɛg (4.30) Equtions (4.29) n (4.30) give y δy = δ x x (4.31) Hence, the erivtive of the vrition is the sme s the vrition of the erivtive. Similrly, one cn show δ G(y, y, x)x = δg(y, y, x)x (4.32) In other wors, vrition n ifferentition re commuttive. Similrly, one cn show tht vrition n integrtion re lso commuttive. We re now rey to minimize Π in (4.23). First, we hve δg(y, y, x) = G(y + ɛg, y + ɛg, x) G(y, y, x) = ɛ( G y g + G y g ) (4.33) Now for the vrition of the efinite integrl (4.23), we pply (4.31) n (4.33): δπ = δ = ɛ G(y, y, x)x = ( G y g + G y g )x δg(y, y, x)x (4.34) Upon utilizing the rule of integrtion by prts, we hve G y g x = [ G y g]b x ( G )gx (4.35) y 10

Since the vrition of y t x = n x = b is zero from (4.28), we hve the following vritionl quntities: {δy() = ɛg() = 0, δy(b) = ɛg(b) = 0} => g() = g(b) = 0 (4.36) so tht we hve [ G g(b)] [ Gg()] = 0 (4.37) y y Substituting (4.36) n (4.37) into (4.35), we obtin δπ = ɛ ( G y G )gx (4.38) x y As ɛ is ssocite with n rbitrry vrition of y, the sttionry vlue of Π is δπ ɛ = ( G y G )g(x)x = 0 (4.39) x y Since g(x) is n rbitrry function tht represents the vrition of y, we must hve for the sttionry vlue of Π: G y G = 0 (4.40) x y This is the celebrte Euler-Lgrnge eqution in mechnics when G(y, y, x) is replce by the Lgrngin function, L, with substitutions of y by q n x by t: G(y, y, x) = L( q, q, t) = {T ( q, q) V (q)} (4.41) so tht we hve from (4.40) the equtions of motion s given by T t q T q + V q = 0 (4.42) 11

Remrk: When G is of the form G = G(y, y, y, x) (4.43) the resulting Euler-Lgrnge eqution is given by G y G x y + 2 G = 0 (4.44) x 2 y with the ssocite bounry conitions given by [( G y x G G )δy + y y δy ] b = 0 (4.45) The preceing equtions re pplicble for bem uner grvity lo for which G becomes G = EI( 2 w(x) x 2 ) 2 mgw(x) (4.46) where m is the mss per unit bem length. 12