Volume elements of phase space

In summary: If I'm understanding it correctly, what you're saying is that the continuity equation is actually a special case of the entropy equation?In summary, the first derivation for the continuity equation of probability density starts with taking the derivative of the volume element in phase space. The derivation bothers me because it seems to ignore the derivative of the volume element - are these not usually ignored? The second derivation starts with showing that a infinitesimal volume element in phase space does not change in volume. During a small time, x(0) becomes x(0) + dot{x}(0) mathematical distance. Thus, (after a short calculation) the infinitesimal volume element stays constant in time.
  • #1
terra
27
2
First, two definitions: let ## \varrho (M)## be the probability density of macro states ##M ## (which correspond to a subgroup of the phase space) and ## \mathrm{d} \Gamma ## be the volume element of a phase space.
In my lecture notes, the derivation for continuity equation of probability density starts with:
$$ \frac{\mathrm{d}}{\mathrm{d}t} \int \mathrm{d} \Gamma \, \varrho= \int \frac{ \bar{n} \cdot \bar{v} \mathrm{d}A \, \mathrm{d}t}{\mathrm{d}t} \varrho + \int \mathrm{d} \Gamma \, \partial_t \varrho ,$$
where the first term on right hand side is supposed to be the time-derivative of the volume element in phase space.
This step bothers me. Why do we also take the derivative of ## \boldsymbol{ \mathrm{d} \Gamma} ## - are these not usually ignored (see, for instance, Leibniz integral rule for taking a derivative inside an integral)? What kind of a mathematical object is ## \boldsymbol{\mathrm{d} \Gamma}##?
 
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  • #3
I do have some updates on this problem.
I'm still not convinced with the above derivation. Maybe it works with some explanation, but I prefer something mathematically more straight-forward.
However, I did find an alternative derivation, which, to my mind, goes more smoothly.
As a reminder, we wish to get a continuity equation for ##\rho ##. Actually, we'll find Liouville's theorem at the same time.
Firstly, we need to show that ## \mathrm{d}/\mathrm{d}t \, \mathrm{d} \Gamma = 0## i.e. that a infinitesimal volume element in phase space does not change in volume. This appears to hold approximately.
During a small time ##\mathrm{d}t##: ## x(0) \to x(0) + \dot{x}(0) \mathrm{d}t ##, so that ## \mathrm{d}x(t) = \mathrm{d}x(0) + \partial \dot{x}(0)/\partial x(0) \mathrm{d}t##. Thus, (after a short calculation, which is easiest to perform writing out the Jacobian of the 'coordinate transformation'), ##\prod_i \mathrm{d}q_i(t) \mathrm{d}p_i(t)= \prod_i \mathrm{d}q_i(0) \mathrm{d}p_i(0) + \mathcal{O} \mathrm{d}t^2##, but as we expanded up to linear order in the first place, we drop the ## \mathrm{d}t^2##-term.
Thus, the infinitesimal volume element stays constant in time.

There is still something that bothers me in the next part. We want to argue that ## \mathrm{d}/\mathrm{d}t \, \mathrm{d} \Gamma \, \rho= 0 ##. We remember that the trajectories ## q_i ## and ## p_i ## follow ##i##:th particle (and so on). Let's follow the density along the trajectories of some particles. My cognitive problem is that in general, I've understood that ##\rho## is the probability to find the system from some macrostate. Say, you start from an initial state where the particles are close together and define your macro state as the volume that particles take, and set the particles free. I would definitely expect a higher volume becoming more probable as time goes on.
Then again, in some contexts, ## \rho## is taken to be the particle density and the probability to find particles from phase space is normalised to ## N##. Then, if I follow the trajectories of some ##n## particles weighed with probability density, it is intuitive that the probability density along those paths stays constant, because we always find the same number of particles in that (deforming) volume of phase space.
If someone is able to clarify this, I would be happy (or I'll come back to it when I understand it better). It's funny how physicists in general don't define the probability density in a clear way (read: at all).

After asserting the above, we are practically done. We note that ## \rho= \rho(t,...,q_i,...,p_i,...)##. Thus $$ 0= \frac{\mathrm{d}\rho}{\mathrm{d}t} = \partial_t \rho + \frac{ \partial \rho }{ \partial q_i } \dot{q}_i + \frac{ \partial \rho }{ \partial p_i } \dot{p}_i $$ (sum over ##i##), and denoting ##\boldsymbol{v}= (\dot{\boldsymbol{q}},-\dot{\boldsymbol{p}}) ##
$$ 0 = \partial_t \rho +( \nabla \rho ) \cdot \boldsymbol{v}$$
which is the continuity equation, since in this case ## \nabla \cdot \boldsymbol{v}= 0 ## so that ## \nabla \cdot (\rho \boldsymbol{v})= (\nabla \rho) \cdot \boldsymbol{v} ##.
 
  • #4
Possibly a last update. I think this problem is pretty much solved (or, well, solved in an alternative way). I still couldn't see ##\mathrm{d}/\mathrm{d}t \, \mathrm{d}\Gamma \, \rho= 0## from any equations. But, as the last messages show, I was confused about the definition of the probability distribution. After some googling and thinking I realized that in any case ##\rho= \rho(t,\boldsymbol{q},\boldsymbol{p})## gives a weight to each trajectory ##(\boldsymbol{q}_i,\boldsymbol{p}_i)## in phase space. (It's only after one maximises entropy with boundary conditions that one arrives at ##\rho## as a function of some macroscopic variables.) And as such, if there are no particles created or destroyed, and we follow some trajectories (of some particles) during a time-interval, the particles should maintain the same weights.

My only 'problem' with this is that to me, it still feels like we 'assume' the difficult part of a result, the rest is just 'trivial' algebra, and still we call it a result.
 
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1. What is a volume element of phase space?

A volume element of phase space is a mathematical concept used in statistical mechanics and thermodynamics to describe the space of possible states of a physical system. It is typically represented as a small volume or region in a multidimensional space, with each dimension representing a different physical variable such as position, momentum, or energy.

2. How is a volume element of phase space related to entropy?

Entropy, a measure of the disorder or randomness of a system, can be calculated by counting the number of volume elements in phase space that correspond to a particular macrostate of the system. This is known as the Boltzmann entropy formula, and it demonstrates the relationship between the microscopic and macroscopic properties of a system.

3. What is the significance of volume elements in statistical mechanics?

Volume elements play a crucial role in statistical mechanics by providing a way to describe the probability distribution of a system's microstates. By dividing the system's phase space into small volume elements, the probability of a system occupying a particular microstate can be calculated using the Boltzmann distribution formula.

4. How do volume elements relate to the uncertainty principle?

The uncertainty principle, a fundamental principle in quantum mechanics, states that it is impossible to know both the position and momentum of a particle with absolute certainty. Volume elements in phase space are used to represent the uncertainty in the position and momentum of a particle, with smaller volume elements corresponding to a more precise measurement.

5. Can volume elements of phase space be visualized?

While volume elements of phase space can be difficult to visualize in higher dimensions, they can be represented as points or small cubes in two or three dimensions. In many cases, phase space diagrams or plots are used to visualize the relationship between different variables and their corresponding volume elements.

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