Liouville's theorem (Hamiltonian)

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Template:Short description Template:About Template:Sidebar with collapsible lists In physics, Liouville's theorem, named after the French mathematician Joseph Liouville, is a key theorem in classical statistical and Hamiltonian mechanics. It asserts that the phase-space distribution function is constant along the trajectories of the system—that is that the density of system points in the vicinity of a given system point traveling through phase-space is constant with time. This time-independent density is in statistical mechanics known as the classical a priori probability.[1]

Liouville's theorem applies to conservative systems, that is, systems in which the effects of friction are absent or can be ignored. The general mathematical formulation for such systems is the measure-preserving dynamical system. Liouville's theorem applies when there are degrees of freedom that can be interpreted as positions and momenta; not all measure-preserving dynamical systems have these, but Hamiltonian systems do. The general setting for conjugate position and momentum coordinates is available in the mathematical setting of symplectic geometry. Liouville's theorem ignores the possibility of chemical reactions, where the total number of particles may change over time, or where energy may be transferred to internal degrees of freedom. The non-squeezing theorem, which applies to all symplectic maps (the Hamiltonian is a symplectic map) implies further restrictions on phase-space flows beyond volume/density/measure conservation. There are extensions of Liouville's theorem to cover these various generalized settings, including stochastic systems.[2]

Liouville equation

Evolution of an ensemble of classical systems in phase space (top). Each system consists of one massive particle in a one-dimensional potential well (red curve, lower figure). Whereas the motion of an individual member of the ensemble is given by Hamilton's equations, Liouville's equation describes the flow of the whole distribution. The motion is analogous to a dye in an incompressible fluid.

The Liouville equation describes the time evolution of the phase space distribution function. Although the equation is usually referred to as the "Liouville equation", Josiah Willard Gibbs was the first to recognize the importance of this equation as the fundamental equation of statistical mechanics.[3][4] It is referred to as the Liouville equation because its derivation for non-canonical systems utilises an identity first derived by Liouville in 1838.[5][6]

Consider a Hamiltonian dynamical system with canonical coordinates qi and conjugate momenta pi, where i=1,,n. Then the phase space distribution ρ(p,q,t) determines the probability ρ(p,q,t)dnqdnp that the system will be found in the infinitesimal phase space volume dnqdnp at time t. The Liouville equation is

ρt+i=1n(ρqiq˙i+ρpip˙i)=0.

Time derivatives are denoted by dots, and are evaluated according to Hamilton's equations for the system. This equation demonstrates the conservation of density in phase space (which was Gibbs's name for the theorem). Liouville's theorem states that:

The distribution function is constant along any trajectory in phase space.

A proof of Liouville's theorem uses the n-dimensional divergence theorem. The proof is based on the fact that the evolution of ρ obeys an 2n-dimensional version of the continuity equation:

ρt+(ρu)=0

with u=(q˙1,q˙2,...,q˙n,p˙1,p˙2,...,p˙n) being the "velocity" vector of pi and qi. The above equation means that change of the total probability within a small volume in phase space is equal to the net flux of probability density into or out of the volume. After inserting u in the above equation, we reach

ρt+i=1n((ρq˙i)qi+(ρp˙i)pi)=0.

That is, the 3-tuple (ρ,ρq˙i,ρp˙i) is a conserved current. The above equation can be reduced to the Liouville equation based on the following identity

ρi=1n(q˙iqi+p˙ipi)=ρi=1n(2Hqipi2Hpiqi)=0,

where H is the Hamiltonian, and we have used the relationships q˙i=H/pi and p˙i=H/qi. The derivation of the Liouville equation can be viewed as the motion through phase space as a 'fluid flow' of system points. The theorem that the convective derivative of the density, dρ/dt, is zero follows from the equation of continuity by noting that the 'velocity field' (p˙,q˙) in phase space has zero divergence (which follows from Hamilton's relations).[7]

Other formulations

Poisson bracket

The theorem above is often restated in terms of the Poisson bracket as

ρt={H,ρ}

or, in terms of the linear Liouville operator or Liouvillian,

i𝐋^=i=1n[HpiqiHqipi]={H,}

as

ρt+i𝐋^ρ=0.

Ergodic theory

In ergodic theory and dynamical systems, motivated by the physical considerations given so far, there is a corresponding result also referred to as Liouville's theorem. In Hamiltonian mechanics, the phase space is a smooth manifold that comes naturally equipped with a smooth measure (locally, this measure is the 6n-dimensional Lebesgue measure). The theorem says this smooth measure is invariant under the Hamiltonian flow. More generally, one can describe the necessary and sufficient condition under which a smooth measure is invariant under a flow.[8] The Hamiltonian case then becomes a corollary.

Symplectic geometry

We can also formulate Liouville's Theorem in terms of symplectic geometry. For a given system, we can consider the phase space (qμ,pμ) of a particular Hamiltonian H as a manifold (M,ω) endowed with a symplectic 2-form

ω=dpμdqμ.

The volume form of our manifold is the top exterior power of the symplectic 2-form, and is just another representation of the measure on the phase space described above.

On our phase space symplectic manifold we can define a Hamiltonian vector field generated by a function f(q,p) as

Xf=fpμqμfqμpμ.

Specifically, when the generating function is the Hamiltonian itself, f(q,p)=H, we get

XH=HpμqμHqμpμ=dqμdtqμ+dpμdtpμ=ddt

where we utilized Hamilton's equations of motion and the definition of the chain rule.[9]

In this formalism, Liouville's Theorem states that the Lie derivative of the volume form is zero along the flow generated by XH. That is, for (M,ω) a 2n-dimensional symplectic manifold,

XH(ωn)=0.

In fact, the symplectic structure ω itself is preserved, not only its top exterior power. That is, Liouville's Theorem also gives [10]

XH(ω)=0.

Quantum Liouville equation

The analog of Liouville equation in quantum mechanics describes the time evolution of a mixed state. Canonical quantization yields a quantum-mechanical version of this theorem, the von Neumann equation. This procedure, often used to devise quantum analogues of classical systems, involves describing a classical system using Hamiltonian mechanics. Classical variables are then re-interpreted as quantum operators, while Poisson brackets are replaced by commutators. In this case, the resulting equation is[11][12]

ρt=1i[H,ρ],

where ρ is the density matrix.

When applied to the expectation value of an observable, the corresponding equation is given by Ehrenfest's theorem, and takes the form

ddtA=1i[H,A],

where A is an observable. Note the sign difference, which follows from the assumption that the operator is stationary and the state is time-dependent.

In the phase-space formulation of quantum mechanics, substituting the Moyal brackets for Poisson brackets in the phase-space analog of the von Neumann equation results in compressibility of the probability fluid, and thus violations of Liouville's theorem incompressibility. This, then, leads to concomitant difficulties in defining meaningful quantum trajectories.[13]

Examples

Simple harmonic oscillator phase-space volume

The time evolution of phase space for the simple harmonic oscillator (SHO). Here we have taken m=ω=1 and are considering the region p,q[1,1].

Consider an N-particle system in three dimensions, and focus on only the evolution of d𝒩 particles. Within phase space, these d𝒩 particles occupy an infinitesimal volume given by

dΓ=i=1Nd3pid3qi.

We want d𝒩dΓ to remain the same throughout time, so that ρ(Γ,t) is constant along the trajectories of the system. If we allow our particles to evolve by an infinitesimal time step δt, we see that each particle phase space location changes as

{qi=qi+qi˙δt,pi=pi+pi˙δt,

where qi˙ and pi˙ denote dqidt and dpidt respectively, and we have only kept terms linear in δt. Extending this to our infinitesimal hypercube dΓ, the side lengths change as

{dqi=dqi+qi˙qidqiδt,dpi=dpi+pi˙pidpiδt.

To find the new infinitesimal phase-space volume dΓ, we need the product of the above quantities. To first order in δt, we get the following:

dqidpi=dqidpi[1+(qi˙qi+pi˙pi)δt].

So far, we have yet to make any specifications about our system. Let us now specialize to the case of N 3-dimensional isotropic harmonic oscillators. That is, each particle in our ensemble can be treated as a simple harmonic oscillator. The Hamiltonian for this system is given by

H=i=13N(12mpi2+mω22qi2).

By using Hamilton's equations with the above Hamiltonian we find that the term in parentheses above is identically zero, thus yielding

dqidpi=dqidpi.

From this we can find the infinitesimal volume of phase space:

dΓ=i=1Nd3qid3pi=i=1Nd3qid3pi=dΓ.

Thus we have ultimately found that the infinitesimal phase-space volume is unchanged, yielding

ρ(Γ,t+δt)=d𝒩dΓ=d𝒩dΓ=ρ(Γ,t),

demonstrating that Liouville's theorem holds for this system.[14]

The question remains of how the phase-space volume actually evolves in time. Above we have shown that the total volume is conserved, but said nothing about what it looks like. For a single particle we can see that its trajectory in phase space is given by the ellipse of constant H. Explicitly, one can solve Hamilton's equations for the system and find

qi(t)=Qicosωt+Pimωsinωt,pi(t)=PicosωtmωQisinωt,

where Qi and Pi denote the initial position and momentum of the i-th particle. For a system of multiple particles, each one will have a phase-space trajectory that traces out an ellipse corresponding to the particle's energy. The frequency at which the ellipse is traced is given by the ω in the Hamiltonian, independent of any differences in energy. As a result, a region of phase space will simply rotate about the point (𝐪,𝐩)=(0,0) with frequency dependent on ω.[15] This can be seen in the animation above.

Damped harmonic oscillator

The evolution of phase-space volume for the damped harmonic oscillator. The same values of parameters are used as in the SHO case, with γ=0.5 (α=0.25).

To see an example where Liouville's theorem does not apply, we can modify the equations of motion for the simple harmonic oscillator to account for the effects of friction or damping. Consider again the system of N particles each in a 3-dimensional isotropic harmonic potential, the Hamiltonian for which is given in the previous example. This time, we add the condition that each particle experiences a frictional force γpi, where γ is a positive constant dictating the amount of friction. As this is a non-conservative force, we need to extend Hamilton's equations as

qi˙=Hpi,pi˙=Hqiγpi.

Unlike the equations of motion for the simple harmonic oscillator, these modified equations do not take the form of Hamilton's equations, and therefore we do not expect Liouville's theorem to hold. Instead, as depicted in the animation in this section, a generic phase space volume will shrink as it evolves under these equations of motion.

To see this violation of Liouville's theorem explicitly, we can follow a very similar procedure to the undamped harmonic oscillator case, and we arrive again at

dqidpi=dqidpi[1+(qi˙qi+pi˙pi)δt].

Plugging in our modified Hamilton's equations, we find

dqidpi=dqidpi[1+(2Hqipi2Hpiqiγ)δt],=dqidpi[1γδt].

Calculating our new infinitesimal phase space volume, and keeping only first order in δt we find the following result:

dΓ=i=1Nd3qid3pi=[1γδt]3Ni=1Nd3qid3pi=dΓ[13Nγδt].

We have found that the infinitesimal phase-space volume is no longer constant, and thus the phase-space density is not conserved. As can be seen from the equation as time increases, we expect our phase-space volume to decrease to zero as friction affects the system.

As for how the phase-space volume evolves in time, we will still have the constant rotation as in the undamped case. However, the damping will introduce a steady decrease in the radii of each ellipse. Again we can solve for the trajectories explicitly using Hamilton's equations, taking care to use the modified ones above. Letting αγ2 for convenience, we find

qi(t)=eαt[Qicosω1t+Bisinω1t]ω1ω2α2,pi(t)=eαt[Picosω1tm(ω1Qi+2αBi)sinω1t]Bi1ω1(Pim+2αQi),

where the values Qi and Pi denote the initial position and momentum of the i-th particle. As the system evolves the total phase-space volume will spiral in to the origin. This can be seen in the figure above.

Remarks

See also

References

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Further reading

  1. Harald J. W. Müller-Kirsten, Basics of Statistical Physics, 2nd ed., World Scientific (Singapore, 2013)
  2. Template:Cite journal
  3. J. W. Gibbs, "On the Fundamental Formula of Statistical Mechanics, with Applications to Astronomy and Thermodynamics." Proceedings of the American Association for the Advancement of Science, 33, 57–58 (1884). Reproduced in The Scientific Papers of J. Willard Gibbs, Vol II (1906), p. 16.
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  7. Harald J.W. Müller-Kirsten, Introduction to Quantum Mechanics: Schrödinger Equation and Path Integral, 2nd ed., World Scientific (Singapore, 2012).
  8. Template:Cite book
  9. Template:Cite book
  10. 10.0 10.1 Template:Cite web Proves Liouville's theorem using the language of modern differential geometry.
  11. The theory of open quantum systems, by Breuer and Petruccione, p. 110.
  12. Statistical mechanics, by Schwabl, p. 16.
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  14. Template:Cite book
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  16. For a particularly clear derivation see Template:Cite book
  17. Template:Cite web Nearly identical to proof in this Wikipedia article. Assumes (without proof) the n-dimensional continuity equation.
  18. Template:Cite web A rigorous proof based on how the Jacobian volume element transforms under Hamiltonian mechanics.
  19. Template:Cite web Uses the n-dimensional divergence theorem (without proof).
  20. 20.0 20.1 Schwartz, S. J., Daly, P. W., and Fazakerley, A. N., 1998, Multi-Spacecraft Analysis of Plasma Kinetics, in Analysis Methods for Multi-Spacecraft Data, edited by G. Paschmann and P. W. Daly, no. SR-001 in ISSI Scientific Reports, chap. 7, pp. 159–163, ESA Publ. Div., Noordwijk, Netherlands.