Assignment 1. g i (x 1,..., x n ) dx i = 0. i=1

Size: px
Start display at page:

Download "Assignment 1. g i (x 1,..., x n ) dx i = 0. i=1"

Transcription

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 of this type is holonomic only if an integrating function, f(x 1,..., x 2 can be foun that turns it into an exact ifferential. Clearly the function must be such that (fg i x j = (fg j x i for all i j. Show that no such integrating factor can be foun for either of Eqs. (1.39. The ifferential constraint above can be written out as 0 = g x x + g y y + This woul be integrable if there were some function, f(x, y,, which, which multiplying this turne it into a perfect ifferential, i.e 0 = F = F F x + x y y + = f g x x + f g y y + In such a case, we woul actually have a holonomic constraint, F = constant, i.e. an algebraic relation between the coorinates. To be able to have an integrating factor, f, it must be the case that the mixe partial erivatives must be equal, i.e (fg x = (fg y y x an so on for all the mixe partial erivatives. In Golstein s notation, this is (fg i x j = (fg j x i for i j. Applying this to 0 = x a sin θ φ we note g x = 1, g y = 0, g θ = 0 an g φ = a sin θ. We have a bunch of conitions: (fg x y (fg x θ (fg x φ (fg y θ (fg y φ (fg θ φ = (fg y x = (fg θ x = (fg φ x = (fg θ y = (fg φ y = (fg φ θ 1

2 These reuce to Note that the final equation can be written y = 0 θ = 0 = a sin θ φ x (f sin θ = 0 θ f cos θ + sin θ θ = 0 Thus, unless θ = π/2, the only solution to the above equations is f = 0 an no integrating factor exists. For the case that θ = π/2, the isk is rolling parallel to the x-axis an x = aφ which can be integrate to x = a (φ φ 0 where φ 0 is a constant. Applying this to 0 = y + a cos θ φ we get g x = 0, g y = 1, g θ = 0, an g φ = a cos θ. This time the conitions become x = 0 θ = 0 = a cos θ φ y sin θ f + cos θ θ = 0 Again, unless θ = 0, the only solution to these equations is f = 0. So no integrating factor exists in general to rener this a holonomic constraint. 2

3 Golstein 1.5 Two wheels of raius a are mounte on the ens of a common axle of length b such that the wheels rotate inepenently. The whole combination rolls without slipping on a plane. Show that there are two nonholonomic equations of constraint, cos θ x + sin θ y = 0 sin θ x cos θ y = 1 2 a ( φ + φ (where θ, φ, an φ have meanings similar to those in the problem of a single vertical isk, an (x, y are the coorinates of a point on the axle miway between the two wheels an one holonomic equation of constraint, where C is a constant. θ = C a b ( φ φ, As in the previous problem with one wheel, each wheel here of the pair satisfies the same constraints as a single rolling isk. We have two wheels so we have two sets of equations in obvious notation: x 1 a sin θ φ 1 = 0 y 1 + a cos θ φ 1 = 0 x 2 a sin θ φ 2 = 0 y 2 + a cos θ φ 2 = 0 The center of the axle can be consiere the center of mass so that so that we can reuce our four equations to two: x = 1 ( x1 + x 2 2 y = 1 ( y1 + y 2 2 x a 2 sin θ ( φ 1 + φ 2 = 0 y + a 2 cos θ ( φ 1 + φ 2 = 0 Through two combinations involving sin θ an cos θ, we can write these as cos θ x + sin θ y = 0 sin θ x cos θ y = a ( φ1 + φ 2 2 It may look like we are one, but what we have constraine is that the wheels roll in unison. But our approach so far, leaves open the possibility that they coul, in fact, change their istance between them. To fix the constraint that the istance between the wheels remains at a constant value, b, such that x 2 x 1 = b cos θ an y 2 y 1 = b sin θ, we impose ẋ 2 ẋ 1 = b θ sin θ Using the relations between the x s an the φ s, we can write ẋ 2 ẋ 1 = a sin θ ( φ2 φ 1 Equating these, ropping the sin θ, an integrating we have θ = C a b 3 ( φ2 φ 1

4 Golstein 1.8 If L is a Lagrangian for a system of n egrees of freeom satisfying Lagrange s equations, show by irect substitution that L = L + F (q 1,..., q n, t t also satisfies Lagrange s equations where F is any arbitrary, but ifferentiable, function of its arguments. We know L satisfies Lagrange s equations an we nee only show the same for L. To that en, we note that we can write F t = F n t + F q i so that we can also say i=1 ( F = ( F + q j t t q j = ( F t q j Further, becuase F is inepenent of the q i, we can conclue F q i = F i=1 Constructing Lagrange s equations in terms of L, we get ( F q j q i ( L L = ( L L + [ ( F ] ( F t q i t q i t q i t t The first two terms on the right vanish because L satisfies Lagrange s equations an the thir an fourth terms can be written ( L L = [ F ] ( F t q i t t which, of course, vanishes. Thus L as a shift of L by a total erivative also satisfies Lagrange s equations. 4

5 Golstein 1.10 Let q 1,..., q n be a set of inepenent generalize coorinates for a system of n egrees of freeom, with a Lagrangian L(q, q, t. Suppose we transform to another set of inepenent coorinates s 1,...s n by means of transformation equations q i = q i (s 1,..., s n, t, i = 1,..., n. (Such a transformation is calle a point transformation. Show that if the Lagrangian function is expresse as a function of s j, ṡ j, an t through the equations of tranformation, then L satisfies Lagrange s equations with respect to the s coorinates: ( L L = 0. t ṡ j s j In other wors, the form of Lagrange s equations is invariant uner a point transformation. Again, we have to be careful when we talk about what various quantities epen on. In particular we are assuming that there are n coorinates, q i, that epen on new coorinates s i an t. We also assume that the inverse relation exists, namely s i = s i (q j, t Note, importantly, that a point transformation oes not epen on the erivatives of the new coorinates, namely ṡ i. However, we o assume that the Lagrangian can epen on the erivatives of the new coorinates. Explicitly, we can write L = L ( q i (s j, t, q i (s j, ṡ j, t, t If we now write the Lagrange equations, we have 0 = L t = j=1 ( L q i L s j s j + L ṡ j ṡ j t [ L s j + L ṡ ] j s j q i ṡ j q i where we have use the chain rule twice because the erivatives of L epen on both s j an ṡ j. From a couple of erivations ientical to those in problem 1.8, we can establish that an ṡ j q i = s j ( sj = ṡ j t Using these, we can simplify our Lagrange equations as 0 = j=1 L s j s j + L ṡ j ( sj [ L s j + L s ] j t t s j q i ṡ j s i Note that the first term in square brackets vanishes becuase s j oes not epen on the velocities so that s j q i = 0 Expaning the final term in a prouct rule an rearranging a bit, we have 0 = j=1 L s j ( L sj + L s j t ṡ j ṡ j 5 ( sj L t ṡ j ( sj t

6 The final two terms cancel an we have 0 = { L ( L } sj s j t ṡ j j=1 Provie the new coorinates are inepenent, their erivatives with respect to the ol coorinates will be invertible an the only way this can vanish is if the quantity in curly braces vanishes for each j. This of course is just Lagrange s equations in the new coorinates. Thus Lagrange s equations are invariant in form uner a point transformation. Golstein 1.12 The escape velocity of a particle on Earth is the minimum velocity require at Earth s surface in orer that the particle can escape from Earth s gravitational fiel. Neglecting the resistance of the atmosphere, the system is conservative. From the conservation theorem for potential plus kinetic energy show that the escape velocity for Earth, ignoring the presence of the Moon, is 11.2 km/s. This is a straigtforwar recall of a problem from introuctory physics. For a particle of mass m, conservation is just E = V + T = 1 2 mv2 GM em r where everything has the usual meaning, i.e. E is the constant total energy, G is Newton s constant, M e is the mass, r is the raial istance of the particle from the center of the earth, an v is the velocity of the particle. The notion of the escape velocity, v esc, or a minimum velocity suggests that this velocity is exactly that which woul allow the particle to have no kinetic energy an infinite istance from the source. In this case, the value of E woul be zero an we have Solving this for v esc an putting in numbers, we have 0 = 1 2 mv2 esc GM em R e v esc = 2GMe R e 11.2 km/s 6

7 Golstein 1.13 Rockets are propelle by the momentum reaction of the exhaust gases expelle from the tail. Since these gases arise from the reaction of the fuels carrie in the rocket, the mass of the rocket is not constant, but ecreases as the fuel is expene. Show that the equation of motion for a rocket projecte vertically upwar in a unifrorm gravitational fiel, neglecting atmosperic friction, is m v t = v m t mg, where m is the mass of the rocket an v is the velocity of the escaping gases relative to the rocket. Integrate this equation to obtain v as a function of m, assuming a constant time rate of loss of mass. Show, for a rocket starting initially from rest, with v equal to 2.1 km/s an a mass loss per secon eequal to 1/60th of the initial mass, that in orer to reach the escape velocity the ratio of the weight of the fuel to the weight of the empty rocket must be almost 300! Consier the rocket (an its unburne fuel at some time t moving with respect to the earth with a vertical velocity of v an momentum mv. At a later time t + t there are two parts to the system, namely the rocket (an some still unburne fuel of mass m m moving with v + v an the expelle fuel of mass m which moves with velocity v f with respect to the earth. The total momentum of the system at the later time is p + p = (v + v(m m + v f m = p + mv + (v f vm + where we ignore the higher orer terms. Thus we have mg = p t = m v m + v t t where v = v f v is the spee of the expelle fuel with respect to the rocket. If we assume v is a constant, we can integrate this equation in t to get v(t = gt v ln m(t + C where C = v 0 + v ln m 0 where v 0 an m 0 are the initial spee an mass of the rocket, respectively. However, we want the velocity as a function of m. We can o this by writing v m = ġ m v m assuming v an ṁ are constants an integrating to get v(m = v(m 0 + ġ m ( m0 m v ln( m m 0 Assuming the initial spee is zero, we can write this in terms of the values given, namely v = 2.1 km/s, ṁ = m 0 /60s an the escape velocity: = ( 1 x 2100 ln(x where x = m/m 0. Using Mathematica or Maple to solve this equation, we fin x Thus the initial mass of the rocket on the launch pa must be about 275 times the mass of the rocket (presumably empty at escape velocity. 7

8 Golstein 1.20 A particle of mass m moves in one imension such that it has the Lagrangian L = 1 12 m2 ẋ 4 + m ẋ 2 V (x V 2 (x where V is some ifferentiable function of x. Fin the equation of motion for x(t an escribe the physical nature of the system on the basis of the equation. The Lagrange equations become 0 = L x ( L t ẋ = m ẋ 2 V (x 2V (xv (x t( 1 3 m2 ẋ 3 + 2mẋ V (x 1 1 = 2V (x( 2 mẋ2 V (x 2m( 2 m ẋ2 ẍ + ẍ V (x + ẋ 2 V (x 1 ( = 2( 2 mẋ2 + V (x mẍ + V (x The right han sie must vanish. We thus have two possibilities. Interpreting x as the generalize one imensional coorinate an V (x as a one imensional potential, either the sum of the kinetic an potential energies must vanish or the corresponing force is conservative an a particle of mass m moves along the x irection uner the influence of the conservative force given by V (x. 8

9 Golstein 1.21 Two mass points of mass m 1 an m 2 are connecte by a string passing through a hole in a smooth table so that m 1 rests on the table suface an m 2 hangs suspene. Assuming m 2 moves only in a vertical line, what are the generalize coorinates for the system? Write the Lagrange equations for the system, an if possible, iscuss the physical significance any of them might have. Reuce the problem to a single secon-orer ifferential equation an obtain a first integral of the equation. What is its physical significance? (Consier the motion only until m 1 reaches the hole. The system woul have three egrees of freeom if the problem were that m 1 moves freely on the table an m 2 only moves up an own. However, we will assume that the string between the two mass remains taut an that the raial position of m 1 is etermine by the vertical height of m 2 (an vice versa. Thus there are two egrees of freeom. Generalize coorinates can be thought of as the two coorinates in the plane for m 1, r an θ. The vertical istance from the hole for m 2 is given by x 0 r where x 0 is the length of the string. If we set the zero of potential to be when m 1 is on the hole, we have the Lagrangian L = 1 2 m 1 [ ] ṙ 2 + r 2 θ m 2 (ẋ0 ṙ 2 m2 g [ x 0 (x 0 r ] The equations of motion from this Lagrangian become 0 = ( m 1 r θ 2 m 2 g (m 1 + m 2 r ( 0 = 0 m 1 r 2 θ t The secon equation can be immeiately integrate an yiels conservation of angular momentum: l = m 1 r 2 θ Having integrate one equation, we can use this result to eliminate θ in the first equation. We have, (m 1 + m 2 r = l2 m 1 r 3 m 2g There is a further integral of the motion that we can obtain by multiplying this equation by ṙ an integrating in time: (m 1 + m 2 ṙ r = l2 ṙ m 1 r 3 m 2gṙ 1 2 (m 1 + m 2 ṙ 2 = l2 1 2m 1 r 2 m 2gr + C 0 On rearranging this a bit, one can see that this is a statement of conservation of energy. 9

10 Golstein 1.22 Obtain the Lagrangian an equations of motion for the ouble penulum illustrate in Fig. 1.4, where the lengths of the penula are l 1 an l 2 with corresponing masses m 1 an m 2. We can work with two pairs of coorinates for the two masses, (x 1, y 1 an (x 2, y 2. They are not inepenent, of course. We can write these Cartesian coorinates (with an assume origin at the top pivot point in terms of the (generalize angular coorinates given in the figure: The Lagrangian is given by x 1 = l 1 sin θ 1 y 1 = l 1 cos θ 1 x 2 = x 1 l 2 sin θ 2 y 2 = y 1 l 2 cos θ 2 L = 1 2 m 1(ẋ2 1 + ẏ m (ẋ ẏ2 2 m1 gy 1 m 2 gy 2 = 1 2 (m 1 + m 2 l 2 1 θ m 2 l 2 2 θ 2 2 m 2 l 1 l 2 θ1 θ2 cos(θ 1 + θ 2 + (m 1 + m 2 gl 1 cos θ 1 + m 2 gl 2 cos θ 2 From this Lagrangian, we get the equations of motion (m 1 + m 2 l 2 1 θ 1 m 2 l 1 l 2 θ2 cos(θ 1 + θ 2 + m 2 l 1 l 2 θ2 2 sin(θ 1 + θ 2 + (m 1 + m 2 gl 1 sin θ 1 = 0 m 2 l 2 2 θ 2 m 2 l 1 l 2 θ1 cos(θ 1 + θ 2 + m 2 l 1 l 2 θ2 1 sin(θ 1 + θ 2 + m 2 gl 2 sin θ 2 = 0 Note that some constants in both can be factore out. Golstein 1.23 Obtain the equation of motion for a particle falling vertically uner the influence of gravity when frictional forces obtainable from a issipation function kv 2 /2 are present. Integrate the equation to obtain the velocity as a function of time an show that the maximum possible velocity for a fall from rest is v = mg/k. The Lagrangian is Lagrange s equation is As an equation for v = ż, this is L = T V = 1 2 mż2 mgz 0 = L t ż L z + F ż m v + kv + mg = 0 = m z + mg + kż This can be solve with an integrating factor, e kt/m, so that ( me kt/m v = mg e kt/m t Integrating an rearranging, we get v(t = e kt/m[ mg ] k ekt/m + C The integration constant can be foun from the initial conition v(0 = v 0, so the solution becomes v(t = v 0 e kt/m + mg [ ] e kt/m 1 k The maximum possible velocity is obtaine as t. This leas to v mg/k. The minus sign enotes only that we are falling in the negative z irection. 10

Goldstein Chapter 1 Exercises

Goldstein 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 information

and from it produce the action integral whose variation we set to zero:

and 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 information

Lecture 27: Generalized Coordinates and Lagrange s Equations of Motion

Lecture 27: Generalized Coordinates and Lagrange s Equations of Motion Lecture 27: Generalize Coorinates an Lagrange s Equations of Motion Calculating T an V in terms of generalize coorinates. Example: Penulum attache to a movable support 6 Cartesian Coorinates: (X, Y, Z)

More information

G j dq i + G j. q i. = a jt. and

G 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 information

Lecture 2 Lagrangian formulation of classical mechanics Mechanics

Lecture 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 information

The Principle of Least Action

The 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 information

Chapter 2 Lagrangian Modeling

Chapter 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 information

Lagrangian and Hamiltonian Mechanics

Lagrangian 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 information

Implicit Differentiation

Implicit 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 information

The derivative of a function f(x) is another function, defined in terms of a limiting expression: f(x + δx) f(x)

The 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 information

Calculus of Variations

Calculus 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 information

2.5 SOME APPLICATIONS OF THE CHAIN RULE

2.5 SOME APPLICATIONS OF THE CHAIN RULE 2.5 SOME APPLICATIONS OF THE CHAIN RULE The Chain Rule will help us etermine the erivatives of logarithms an exponential functions a x. We will also use it to answer some applie questions an to fin slopes

More information

Physics 5153 Classical Mechanics. The Virial Theorem and The Poisson Bracket-1

Physics 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 information

Calculus of Variations

Calculus 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 information

Free rotation of a rigid body 1 D. E. Soper 2 University of Oregon Physics 611, Theoretical Mechanics 5 November 2012

Free 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 information

The Ehrenfest Theorems

The Ehrenfest Theorems The Ehrenfest Theorems Robert Gilmore Classical Preliminaries A classical system with n egrees of freeom is escribe by n secon orer orinary ifferential equations on the configuration space (n inepenent

More information

23 Implicit differentiation

23 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 information

G4003 Advanced Mechanics 1. We already saw that if q is a cyclic variable, the associated conjugate momentum is conserved, L = const.

G4003 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 information

1 Heisenberg Representation

1 Heisenberg Representation 1 Heisenberg Representation What we have been ealing with so far is calle the Schröinger representation. In this representation, operators are constants an all the time epenence is carrie by the states.

More information

Math Notes on differentials, the Chain Rule, gradients, directional derivative, and normal vectors

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 information

Vectors in two dimensions

Vectors 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 information

THERE ARE BASICALLY TWO approaches to conservative mechanics, due principally

THERE ARE BASICALLY TWO approaches to conservative mechanics, due principally CHAPTER 2 LAGRANGE S EQUATIONS THERE ARE BASICALLY TWO approaches to conservative mechanics, ue principally to Lagrange an Hamilton respectively Each has avantages over the other, although the Lagrangian

More information

Table of Common Derivatives By David Abraham

Table 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 information

Euler equations for multiple integrals

Euler 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 information

Introduction to the Vlasov-Poisson system

Introduction 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 information

Lagrangian and Hamiltonian Dynamics

Lagrangian 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 information

Separation of Variables

Separation 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 information

Section 2.7 Derivatives of powers of functions

Section 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 information

Linear First-Order Equations

Linear 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 information

Math 115 Section 018 Course Note

Math 115 Section 018 Course Note Course Note 1 General Functions Definition 1.1. A function is a rule that takes certain numbers as inputs an assigns to each a efinite output number. The set of all input numbers is calle the omain of

More information

Quantum Mechanics in Three Dimensions

Quantum 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 information

Math 342 Partial Differential Equations «Viktor Grigoryan

Math 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 information

Numerical Integrator. Graphics

Numerical 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 information

JUST THE MATHS UNIT NUMBER DIFFERENTIATION 2 (Rates of change) A.J.Hobson

JUST 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 information

Unit #6 - Families of Functions, Taylor Polynomials, l Hopital s Rule

Unit #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 information

6. Friction and viscosity in gasses

6. Friction and viscosity in gasses IR2 6. Friction an viscosity in gasses 6.1 Introuction Similar to fluis, also for laminar flowing gases Newtons s friction law hols true (see experiment IR1). Using Newton s law the viscosity of air uner

More information

Calculus of variations - Lecture 11

Calculus 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 information

Partial Differential Equations

Partial 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 information

Exam 2 Review Solutions

Exam 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 information

4. Important theorems in quantum mechanics

4. 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 information

Department 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 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 information

CHAPTER 1 : DIFFERENTIABLE MANIFOLDS. 1.1 The definition of a differentiable manifold

CHAPTER 1 : DIFFERENTIABLE MANIFOLDS. 1.1 The definition of a differentiable manifold CHAPTER 1 : DIFFERENTIABLE MANIFOLDS 1.1 The efinition of a ifferentiable manifol Let M be a topological space. This means that we have a family Ω of open sets efine on M. These satisfy (1), M Ω (2) the

More information

The Kepler Problem. 1 Features of the Ellipse: Geometry and Analysis

The Kepler Problem. 1 Features of the Ellipse: Geometry and Analysis The Kepler Problem For the Newtonian 1/r force law, a miracle occurs all of the solutions are perioic instea of just quasiperioic. To put it another way, the two-imensional tori are further ecompose into

More information

Further Differentiation and Applications

Further Differentiation and Applications Avance Higher Notes (Unit ) Prerequisites: Inverse function property; prouct, quotient an chain rules; inflexion points. Maths Applications: Concavity; ifferentiability. Real-Worl Applications: Particle

More information

Diagonalization of Matrices Dr. E. Jacobs

Diagonalization 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 information

The Principle of Least Action and Designing Fiber Optics

The Principle of Least Action and Designing Fiber Optics 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

More information

Short Intro to Coordinate Transformation

Short Intro to Coordinate Transformation Short Intro to Coorinate Transformation 1 A Vector A vector can basically be seen as an arrow in space pointing in a specific irection with a specific length. The following problem arises: How o we represent

More information

u t v t v t c a u t b a v t u t v t b a

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 information

The Exact Form and General Integrating Factors

The 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 information

Tutorial Test 5 2D welding robot

Tutorial 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 information

12.11 Laplace s Equation in Cylindrical and

12.11 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 information

Schrödinger s equation.

Schrödinger 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 information

Physics 115C Homework 4

Physics 115C Homework 4 Physics 115C Homework 4 Problem 1 a In the Heisenberg picture, the ynamical equation is the Heisenberg equation of motion: for any operator Q H, we have Q H = 1 t i [Q H,H]+ Q H t where the partial erivative

More information

Phys 7221, Fall 2006: Homework # 5

Phys 7221, Fall 2006: Homework # 5 Phys 722, Fal006: Homewor # 5 Gabriela González October, 2006 Prob 3-: Collapse of an orbital system Consier two particles falling into each other ue to gravitational forces, starting from rest at a istance

More information

θ x = f ( x,t) could be written as

θ 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 information

Integration Review. May 11, 2013

Integration Review. May 11, 2013 Integration Review May 11, 2013 Goals: Review the funamental theorem of calculus. Review u-substitution. Review integration by parts. Do lots of integration eamples. 1 Funamental Theorem of Calculus In

More information

Math 1272 Solutions for Spring 2005 Final Exam. asked to find the limit of the sequence. This is equivalent to evaluating lim. lim.

Math 1272 Solutions for Spring 2005 Final Exam. asked to find the limit of the sequence. This is equivalent to evaluating lim. lim. Math 7 Solutions for Spring 5 Final Exam ) We are gien an infinite sequence for which the general term is a n 3 + 5n n + n an are 3 + 5n aske to fin the limit of the sequence. This is equialent to ealuating

More information

Math 1271 Solutions for Fall 2005 Final Exam

Math 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 information

1. The electron volt is a measure of (A) charge (B) energy (C) impulse (D) momentum (E) velocity

1. The electron volt is a measure of (A) charge (B) energy (C) impulse (D) momentum (E) velocity AP Physics Multiple Choice Practice Electrostatics 1. The electron volt is a measure of (A) charge (B) energy (C) impulse (D) momentum (E) velocity. A soli conucting sphere is given a positive charge Q.

More information

Lecture XII. where Φ is called the potential function. Let us introduce spherical coordinates defined through the relations

Lecture 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 information

Class Notes for Advanced Dynamics (MEAM535)

Class Notes for Advanced Dynamics (MEAM535) Class Notes f Avance Dynamics MEAM535 Michael A. Carchii December 9, 9 Equilibrium Points, Small Perturbations Linear Stability Analysis The following notes were initially base aroun the text entitle:

More information

6 General properties of an autonomous system of two first order ODE

6 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 information

HOMEWORK 2 SOLUTIONS

HOMEWORK 2 SOLUTIONS HOMEWORK 2 SOLUTIONS PHIL SAAD 1. Carroll 1.4 1.1. A qasar, a istance D from an observer on Earth, emits a jet of gas at a spee v an an angle θ from the line of sight of the observer. The apparent spee

More information

1 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.

1 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 information

Solutions to Math 41 Second Exam November 4, 2010

Solutions 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 information

CHAPTER 1. Chapter 1 Page 1.1. Problem 1.1: (a) Because the system is conservative, ΔE = 0 and ΔK = ΔU. G m 2. M kg.

CHAPTER 1. Chapter 1 Page 1.1. Problem 1.1: (a) Because the system is conservative, ΔE = 0 and ΔK = ΔU. G m 2. M kg. Chapter Page. CHAPTER Problem.: (a) Because the system is conservative, ΔE = 0 an ΔK = ΔU M 5.970 4 kg G 6.670 m newton R 6.370 6 m kg ΔK= v e = MmG = Mm G r R r=r so, v e M G v e.84 km R sec (b) A circular

More information

Euler Equations: derivation, basic invariants and formulae

Euler 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 information

221A Lecture Notes Notes on Classica Mechanics I

221A 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 information

The Three-dimensional Schödinger Equation

The 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 information

Mathematical Review Problems

Mathematical 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 information

SYSTEMS OF DIFFERENTIAL EQUATIONS, EULER S FORMULA. where L is some constant, usually called the Lipschitz constant. An example is

SYSTEMS OF DIFFERENTIAL EQUATIONS, EULER S FORMULA. where L is some constant, usually called the Lipschitz constant. An example is SYSTEMS OF DIFFERENTIAL EQUATIONS, EULER S FORMULA. Uniqueness for solutions of ifferential equations. We consier the system of ifferential equations given by x = v( x), () t with a given initial conition

More information

Physics 170 Week 7, Lecture 2

Physics 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 information

5-4 Electrostatic Boundary Value Problems

5-4 Electrostatic Boundary Value Problems 11/8/4 Section 54 Electrostatic Bounary Value Problems blank 1/ 5-4 Electrostatic Bounary Value Problems Reaing Assignment: pp. 149-157 Q: A: We must solve ifferential equations, an apply bounary conitions

More information

Sturm-Liouville Theory

Sturm-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 information

Derivation Of Lagrange's Equation Of Motion For Nonholonomic Constraints Using Lagrange s Multiplier

Derivation Of Lagrange's Equation Of Motion For Nonholonomic Constraints Using Lagrange s Multiplier Derivation Of Lagrange's Equation Of Motion For Nonholonomic Constraints Using Lagrange s Multiplier We consier a path ABC in x, y, x., y.,t space which a system traverse from time to time. Now we consier

More information

Chapter 6: Energy-Momentum Tensors

Chapter 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

Lectures - Week 10 Introduction to Ordinary Differential Equations (ODES) First Order Linear ODEs

Lectures - 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 information

Problem Set 2: Solutions

Problem Set 2: Solutions UNIVERSITY OF ALABAMA Department of Physics an Astronomy PH 102 / LeClair Summer II 2010 Problem Set 2: Solutions 1. The en of a charge rubber ro will attract small pellets of Styrofoam that, having mae

More information

ACCELERATION, FORCE, MOMENTUM, ENERGY : solutions to higher level questions

ACCELERATION, FORCE, MOMENTUM, ENERGY : solutions to higher level questions ACCELERATION, FORCE, MOMENTUM, ENERGY : solutions to higher level questions 015 Question 1 (a) (i) State Newton s secon law of motion. Force is proportional to rate of change of momentum (ii) What is the

More information

6 Wave equation in spherical polar coordinates

6 Wave equation in spherical polar coordinates 6 Wave equation in spherical polar coorinates We now look at solving problems involving the Laplacian in spherical polar coorinates. The angular epenence of the solutions will be escribe by spherical harmonics.

More information

x f(x) x f(x) approaching 1 approaching 0.5 approaching 1 approaching 0.

x 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 information

A Second Time Dimension, Hidden in Plain Sight

A Second Time Dimension, Hidden in Plain Sight A Secon Time Dimension, Hien in Plain Sight Brett A Collins. In this paper I postulate the existence of a secon time imension, making five imensions, three space imensions an two time imensions. I will

More information

Calculus and optimization

Calculus 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 information

A. Incorrect! The letter t does not appear in the expression of the given integral

A. 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 information

2.1 Derivatives and Rates of Change

2.1 Derivatives and Rates of Change 1a 1b 2.1 Derivatives an Rates of Change Tangent Lines Example. Consier y f x x 2 0 2 x-, 0 4 y-, f(x) axes, curve C Consier a smooth curve C. A line tangent to C at a point P both intersects C at P an

More information

Gravitation & Cosmology. Exercises # µ x = 0 (1)

Gravitation & Cosmology. Exercises # µ x = 0 (1) Gravitation & Cosmology. Exercises # 4.1 - Geoesics a) Show that the Euler-Lagrange equations for the Lagrangian L τ ẋ L µ x = 0 (1) µ L = 1 2 g µνẋ µ ẋ ν (2) are the geoesic equations where, as usual,

More information

Define each term or concept.

Define 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 information

Applications of First Order Equations

Applications 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 information

Physics 2212 K Quiz #2 Solutions Summer 2016

Physics 2212 K Quiz #2 Solutions Summer 2016 Physics 1 K Quiz # Solutions Summer 016 I. (18 points) A positron has the same mass as an electron, but has opposite charge. Consier a positron an an electron at rest, separate by a istance = 1.0 nm. What

More information

Math 300 Winter 2011 Advanced Boundary Value Problems I. Bessel s Equation and Bessel Functions

Math 300 Winter 2011 Advanced Boundary Value Problems I. Bessel s Equation and Bessel Functions Math 3 Winter 2 Avance Bounary Value Problems I Bessel s Equation an Bessel Functions Department of Mathematical an Statistical Sciences University of Alberta Bessel s Equation an Bessel Functions We use

More information

Unit #4 - Inverse Trig, Interpreting Derivatives, Newton s Method

Unit #4 - Inverse Trig, Interpreting Derivatives, Newton s Method Unit #4 - Inverse Trig, Interpreting Derivatives, Newton s Metho Some problems an solutions selecte or aapte from Hughes-Hallett Calculus. Computing Inverse Trig Derivatives. Starting with the inverse

More information

Angles-Only Orbit Determination Copyright 2006 Michel Santos Page 1

Angles-Only Orbit Determination Copyright 2006 Michel Santos Page 1 Angles-Only Orbit Determination Copyright 6 Michel Santos Page 1 Abstract This ocument presents a re-erivation of the Gauss an Laplace Angles-Only Methos for Initial Orbit Determination. It keeps close

More information

Kramers Relation. Douglas H. Laurence. Department of Physical Sciences, Broward College, Davie, FL 33314

Kramers Relation. Douglas H. Laurence. Department of Physical Sciences, Broward College, Davie, FL 33314 Kramers Relation Douglas H. Laurence Department of Physical Sciences, Browar College, Davie, FL 333 Introuction Kramers relation, name after the Dutch physicist Hans Kramers, is a relationship between

More information

Chapter 2 Governing Equations

Chapter 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 information

Theoretical Dynamics September 16, Homework 2. Taking the point of support as the origin and the axes as shown, the coordinates are

Theoretical Dynamics September 16, Homework 2. Taking the point of support as the origin and the axes as shown, the coordinates are Teoretical Dynaics Septeber 16, 2010 Instructor: Dr. Toas Coen Hoework 2 Subitte by: Vivek Saxena 1 Golstein 1.22 Taking te point of support as te origin an te axes as sown, te coorinates are x 1, y 1

More information

1.4.3 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 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 information

d dx But have you ever seen a derivation of these results? We ll prove the first result below. cos h 1

d 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 information

MATH2231-Differentiation (2)

MATH2231-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 information

FINAL EXAM 1 SOLUTIONS Below is the graph of a function f(x). From the graph, read off the value (if any) of the following limits: x 1 +

FINAL EXAM 1 SOLUTIONS Below is the graph of a function f(x). From the graph, read off the value (if any) of the following limits: x 1 + FINAL EXAM 1 SOLUTIONS 2011 1. Below is the graph of a function f(x). From the graph, rea off the value (if any) of the following its: x 1 = 0 f(x) x 1 + = 1 f(x) x 0 = x 0 + = 0 x 1 = 1 1 2 FINAL EXAM

More information

12.5. Differentiation of vectors. Introduction. Prerequisites. Learning Outcomes

12.5. Differentiation of vectors. Introduction. Prerequisites. Learning Outcomes Differentiation of vectors 12.5 Introuction The area known as vector calculus is use to moel mathematically a vast range of engineering phenomena incluing electrostatics, electromagnetic fiels, air flow

More information