Ch. 7: Sect. 7.10 (Part II): Cyclic or Ignorable Coordinates. Sect. 7.11: Comments. Sect. 7.12: Phase Space - PowerPoint PPT Presentation

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Ch. 7: Sect. 7.10 (Part II): Cyclic or Ignorable Coordinates. Sect. 7.11: Comments. Sect. 7.12: Phase Space

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Cyclic or Ignorable Coordinates In the Hamiltonian Formulation, the generalized coordinate qk & the generalized momentum pk are called Canonically Conjugate quantities. – PowerPoint PPT presentation

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Title: Ch. 7: Sect. 7.10 (Part II): Cyclic or Ignorable Coordinates. Sect. 7.11: Comments. Sect. 7.12: Phase Space


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Cyclic or Ignorable Coordinates
  • In the Hamiltonian Formulation, the generalized
    coordinate qk the generalized momentum pk are
    called Canonically Conjugate quantities.
  • Hamiltons Equations are
  • qk (?H/?pk) pk - (?H/?qk) (1)
  • ? In the (often occurring) case where H does not
    contain a particular qk, then, by (1), the
    corresponding pk 0 pk constant or pk is
    conserved (is a constant or an integral of the
    motion)
  • Coordinates qk not appearing in the Hamiltonian
    H are called
  • Cyclic or Ignorable Coordinates

3
  • Note that, if qk is a cyclic coordinate (not
    appearing in the Hamiltonian H) it also will not
    appear in the Lagrangian L! However, in general,
    the corresponding generalized velocity qk, will
    still appear in L.
  • L L(q1,..,qk-1,qk1,qs,q1,.qs,t)
  • ? The number of degrees of freedom s in
    Lagrangian Mechanics will not be changed.
  • We still must set up solve s 2nd order
    differential equations!
  • However, as we discuss now, in Hamiltonian
    Mechanics, a cyclic coordinate reduces the
    complexity of the math by reducing the number of
    differential equations we have to deal with.
    This, in fact is one of (the only) advantages of
    Hamiltonian Mechanics over Lagrangian Mechanics!

4
  • In the Hamiltonian (canonical) formulation of
    mechanics If qk is a cyclic or ignorable
    coordinate ? pk constant ? ak
  • H H(q1,..,qk-1,qk1,..qs,p1,..pk-1,ak,pk1,.
    ps,t)
  • ? It is only necessary to solve 2s - 2 1st order
    differential equations. ? This means an
    (effective) reduction in complexity to s-1
    degrees of freedom
  • In this case, the cyclic coordinate qk is
    completely separated. ? qk is ignorable as far as
    rest of solution for the dynamics of the system
    is concerned.

5
  • If qk is cyclic ? pk constant ? ak
  • We can calculate the constant ak from the initial
    conditions. Then we can compute the cyclic
    coordinate by solving a simple differential
    equation
  • qk (?H/?pk) (?H/?ak) ? ?k(t)
  • Given the initial conditions, this integrates to
    give
  • qk(t) ??k dt
  • ? The Hamiltonian Formulation is well suited
    (much better than the Lagrangian formulation!) to
    solve problems with one or more cyclic
    coordinates.
  • My Opinion This is one of the FEW CASES where
    the Hamiltonian method is superior to the
    Lagrangian method.

6
  • Its worth noting the fact that the Hamiltonian
    Formulation is well suited to solve problems with
    cyclic coordinates has led to the development of
    still other formulations of mechanics!
  • For example, it can be shown that it is always
    possible to find transformations of the
    coordinates such that in the new coordinate
    system, ALL coordinates are cyclic! (None are in
    the Hamiltonian!)
  • This is another formulation of mechanics called
    the Hamilton-Jaocbi formulation.
  • It forms the foundation of some modern theories
    of matter is beyond the scope of the course.
    See Goldsteins graduate mechanics text.

7
Example 7.12
  • Use the Hamiltonian
  • method to find the
  • equations of motion for
  • the spherical pendulum of
  • mass m length b.
  • (Figure). Worked on the
  • board!

8
Brief Comments on Dynamical Variables
Variational Calculations in Physics Sect. 7.11
  • Skip most discussion in class. Read the details
    on your own!
  • Recall We got Hamiltons Equations from
    Lagranges Equations. We got Lagrange Equations
    from Hamiltons Principle the calculus of
    variations applied to
  • d ? L(qj,qj,t) dt 0 where L T - U
  • The authors show that we can get Hamiltons
    Equations directly from Hamiltons Principle
    the calculus of variations applied to d ?
    L(qj,qj,t) dt 0 where
  • L ? ?j qj (?L/?qj) H. Or L ? ?j qj pj - H
    by letting qj pj be varied independently. (See
    Eqtn (7.189), p 273).

9
  • Hamiltonian Dynamics Treats the generalized
    coordinates qj the generalized momenta, pj as
    independent. But they arent really so, in the
    true sense!
  • If the time dependence of each coordinate qj(t)
    is known, then we have completely solved the
    problem!
  • ? We can calculate the generalized velocities
    from
  • qj(t) ? dqj(t)/dt (1)
  • We can calculate the generalized momenta
    from
  • pj(t) ? ?L(qj,qj,t)/?qj (2)
  • Bottom Line qj qj are related by a simple time
    derivative (1), independent of the manner in
    which the system behaves. On the other hand, the
    relations between qj pj (Hamiltons Eqtns) are
    eqtns of motion themselves! Finding the relations
    between qj pj is equivalent to solving the
    problem!

10
Phase Space Sect. 7.12
  • Skip most discussion in class. Read details on
    your own!
  • For a system with s degrees of freedom (many
    particles). Consider an abstract 2 s dimensional
    Hamiltonian phase space in which s generalized
    coordinates qj s generalized momenta pj are
    represented by a single point.
  • ? ? phase space density points per unit (2s
    dimen.) volume
  • The authors prove Liouvilles Theorem
  • (d?/dt) 0 ? ? constant
  • Proved using Hamiltonian dynamics. Cannot use
    Lagrangian dynamics (Liouvilles Theorem is not
    valid in qj - qj configuration space).
  • This is important in statistical mechanics, in
    which ? is the many particle distribution
    function!

11
Virial Theorem Sect. 7.13
  • Skim discussion. Read more details on your own!
  • Consider a many particle system. Positions ra
    momenta pa. Bounded. Define S ? ?a ra?pa
  • Take the time derivative of S
  • (dS/dt) ?a (dra /dt)?pa ra? (dpa /dt)
    (1)
  • The time average of (dS/dt) in the time interval
    t
  • (dS/dt)ave ? (1/ t) ? (dS/dt)dt (0 lt t lt t)
    (2)
  • (dS/dt)ave S(t) - S(0)/t (3)
  • If the motion is periodic with period t
  • ? S(t) S(0) (3) ? (dS/dt)ave 0

12
  • Now some manipulation! If the system motion is
    not periodic, we can still make (dS/dt)ave
    (S)ave as small as we want by taking t very
    large. ? Either for a periodic system or for a
    non-periodic system with large t we can (in
    principle) make (S)ave 0. When (S)ave 0,
    (understood to be the long time average) (1)
    (2) combine to give
  • - ?a(dpa/dt)?raave ?a pa?(dra/dt)ave
    (4)
  • Now, use the KE theorem from before ? On the
    right side of (4) we can write pa? (dra/dt)
    2Ta so the right side of (4) becomes
    2 ?a Ta ave 2Tave (5)
  • Here Ta KE of particle a T total KE of the
    system
  • Newtons 2nd Law ? (dpa/dt) Fa force on
    particle a ? the left side of (4) is
    -?a(Fa?ra)ave (6)

13
  • Combine (5) (6)
  • ? Tave - (½) ?a(Fa?ra)ave (7)
  • ? The Virial Theorem
  • - (½) ?a(Fa?ra)ave ? The Virial
  • The time average kinetic energy of a system is
  • equal to its virial
  • Application to Statistical Mechanics See Example
    7.14.

14
  • Tave - (½) ?a(Fa?ra)ave ? The Virial
    Theorem
  • Application to classical dynamics For a
    conservative system in which a PE can be defined
    Fa ? - ?Ua
  • ? Tave - (½) ?a(?Ua?ra)ave
  • In the special case of a Central Force, in which
    (for each particle a) F ? rn, n any power r
    distance between particles ? U k rn1
  • ? ?U?r (dU/dr)r k(n1) rn1 or ?U?r
    (n1)U
  • ? The Virial Theorem gives
  • Tave (½)(n1) Uave
  • Conservative Central forces ONLY!

15
  • Virial Theorem, Conservative Central Forces
  • (F(r) k rn , U(r) k rn1)
  • Tave (½)(n1) Uave
  • Example 1 Gravitational (or Coulomb) Potential
  • n - 2 ? Tave - (½) Uave
  • Example 2 Isotropic Simple Harmonic Oscillator
    Potential
  • n 1 ? Tave Uave
  • Example 3 n -1 ? Tave 0 !
  • Example 4 n ? integer (say, real power x)
  • n x ? Tave (½) (x1) Uave
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