Liouville's theorem (Hamiltonian)

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.

There are related mathematical results in symplectic topology and ergodic theory; systems obeying Liouville's theorem are examples of incompressible dynamical systems.

There are extensions of Liouville's theorem to stochastic systems.

Liouville equations

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. It is referred to as the Liouville equation because its derivation for non-canonical systems utilises an identity first derived by Liouville in 1838.
Consider a Hamiltonian dynamical system with canonical coordinates $q_i$ and conjugate momenta $p_i$, where $i=1,\dots,n$. Then the phase space distribution $\rho(p,q)$ determines the probability $\rho(p,q)\; \mathrm^nq\,\mathrm^n p$ that the system will be found in the infinitesimal phase space volume $\mathrm ^nq\,\mathrm^n p$. The Liouville equation governs the evolution of $\rho(p,q;t)$ in time $t$:

:$\frac= \frac +\sum_^n\left(\frac\dot_i +\frac\dot_i\right)=0.$

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. This proof is based on the fact that the evolution of $\rho$ obeys an ''2n''-dimensional version of the continuity equation:

:$\frac+\sum_^n\left(\frac+\frac\right)=0.$

That is, the 3-tuple $(\rho, \rho\dot_i,\rho\dot_i)$ is a conserved current. Notice that the difference between this and Liouville's equation are the terms

:$\rho\sum_^n\left( \frac +\frac\right) =\rho\sum_^n\left( \frac -\frac\right)=0,$

where $H$ is the Hamiltonian, and Hamilton's equations as well as conservation of the Hamiltonian along the flow have been used. That is, viewing the motion through phase space as a 'fluid flow' of system points, the theorem that the convective derivative of the density, $d \rho/dt$, is zero follows from the equation of continuity by noting that the 'velocity field' $(\dot p , \dot q)$ in phase space has zero divergence (which follows from Hamilton's relations).

Another illustration is to consider the trajectory of a cloud of points through phase space. It is straightforward to show that as the cloud stretches in one coordinate – $p_i$ say – it shrinks in the corresponding $q^i$ direction so that the product $\Delta p_i \, \Delta q^i$ remains constant.

Other formulations

Poisson bracket

The theorem above is often restated in terms of the Poisson bracket as
:$\frac=-\$
or, in terms of the linear Liouville operator or Liouvillian,
:\mathrm\widehat=\sum_^n \left frac\frac-\frac\frac\right\
as
:$\frac+\rho =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 6''n''-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. 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 $(q^\mu, p_\mu)$ of a particular Hamiltonian $H$ as a manifold $(M,\omega)$ endowed with a symplectic 2-form

:$\omega = dp_\mu\wedge dq^\mu.$
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

:$X_f = \frac\frac - \frac\frac.$

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

:$X_H = \frac\frac - \frac\frac = \frac\frac + \frac\frac = \frac$

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

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

:$\mathcal_(\omega^n) = 0.$

In fact, the symplectic structure $\omega$ itself is preserved, not only its top exterior power. That is, Liouville's Theorem also gives Proves Liouville's theorem using the language of modern differential geometry.

:$\mathcal_(\omega) = 0.$

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
:\frac = \frac , \rho
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

:$\frac\langle A\rangle = -\frac\langle$, Arangle,

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.

Examples

SHO phase-space volume

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

: $\mathrm\Gamma = \displaystyle\prod_^N d^3p_i d^3q_i.$

We want $\frac$ to remain the same throughout time, so that $\rho(\Gamma, t)$ is constant along the trajectories of the system. If we allow our particles to evolve by an infinitesimal time step $\delta t$, we see that each particle phase space location changes as

: $\begin q_i' = q_i + \dot\delta t,\\ p_i' = p_i + \dot\delta t, \end$

where $\dot$ and $\dot$ denote $\frac$ and $\frac$ respectively, and we have only kept terms linear in $\delta t$. Extending this to our infinitesimal hypercube $\mathrm\Gamma$, the side lengths change as

: $\begin dq_i' = dq_i + \fracdq_i\delta t,\\ dp_i' = dp_i + \fracdp_i\delta t. \end$

To find the new infinitesimal phase-space volume $\mathrm\Gamma'$, we need the product of the above quantities. To first order in $\delta t$, we get the following:

: dq_i'dp_i' = dq_idp_i\left + \left( \frac + \frac\right) \delta t\right

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

: $H = \displaystyle\sum_^\left(\fracp_i^2 + \fracq_i^2\right).$

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

: $dq_i'dp_i' = dq_idp_i.$

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

: $\mathrm\Gamma' = \displaystyle\prod_^N d^3q_i'd^3p_i' = \prod_^N d^3q_id^3p_i = \mathrm\Gamma.$

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

: $\rho(\Gamma', t + \delta t) = \frac = \frac = \rho(\Gamma, t),$

demonstrating that Liouville's theorem holds for this system.

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

:$\begin q_i(t) &= Q_i\cos + \frac\sin,\\ p_i(t) &= P_i\cos - m\omega Q_i\sin, \end$

where $Q_i$ and $P_i$ 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 $\omega$ in the Hamiltonian, independent of any differences in energy. As a result, a region of phase space will simply rotate about the point $(\mathbf, \mathbf) = (0, 0)$ with frequency dependent on $\omega$. This can be seen in the animation above.

Damped harmonic oscillator

One of the foundational assumptions of Liouville's theorem is that the system obeys the conservation of energy. In the context of phase space, this is to say that $\rho$ is constant on phase-space surfaces of constant energy $E$. If we break this requirement by considering a system in which energy is not conserved, we find that $\rho$ also fails to be constant.

As an example of this, 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. As this is a non-conservative force, we need to extend Hamilton's equations as

:$\begin \dot &= \frac,\\ \dot &= -\frac - \gamma p_i, \end$

where $\gamma$ is a positive constant dictating the amount of friction. Following a very similar procedure to the undamped harmonic oscillator case, we arrive again at

:dq_i'dp_i' = dq_idp_i\left + \left( \frac + \frac\right) \delta t\right

Plugging in our modified Hamilton's equations, we find

:\begin
dq_i'dp_i' &= dq_idp_i\left + \left( \frac - \frac - \gamma\right) \delta t\right\\
&= dq_idp_i\left -\gamma \delta t\right
\end

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

:\mathrm\Gamma' = \displaystyle\prod_^N d^3q_i'd^3p_i' = \left -\gamma\delta t\right\prod_^N d^3q_id^3p_i = \mathrm\Gamma\left -3N\gamma\delta t\right

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 $\alpha \equiv \frac$ for convenience, we find

:\begin
q_i(t) &= e^\left _i\cos + B_i\sin\right& &\omega_1 \equiv \sqrt,\\
p_i(t) &= e^\left _i\cos - m(\omega_1 Q_i + 2\alpha B_i)\sin\right& &B_i \equiv \frac\left(\frac + 2\alpha Q_i\right),
\end

where the values $Q_i$ and $P_i$ 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

* The Liouville equation is valid for both equilibrium and nonequilibrium systems. It is a fundamental equation of non-equilibrium statistical mechanics.
* The Liouville equation is integral to the proof of the fluctuation theorem from which the second law of thermodynamics can be derived. It is also the key component of the derivation of Green–Kubo relations for linear transport coefficients such as shear viscosity, thermal conductivity or electrical conductivity.
* Virtually any textbook on Hamiltonian mechanics, advanced statistical mechanics, or symplectic geometry will derive the Liouville theorem. Uses the ''n''-dimensional divergence theorem (without proof).

See also

* Boltzmann transport equation
* Reversible reference system propagation algorithm (r-RESPA)

References

Further reading

*
*

External links

*{{cite web , title=Phase space distribution functions and Liouville's theorem , url=https://www.nyu.edu/classes/tuckerman/stat.mech/lectures/lecture_1/node7.html

Hamiltonian mechanics
Theorems in dynamical systems
Statistical mechanics theorems