3.2. Thermodyanmics Properties#
3.2.1. Classical Systems#
Classical systems have continuous positions and momenta, so sums become integrals:
Indistinguishable particles
Prefactor to account for quantum entropy in high T limit where particles are exchanged and are the same.
For classical systems, ( H(q, p) = U(q) + K(p) ) is separable:
( U(q) ): potential energy
( K(p) = \sum \frac{p^2}{2m} ): kinetic energy
Hence, ( Q ) is separable:
Configuration integral:
Thermal de Broglie wavelength:
Example: Ideal gas ( U(q) = 0 ), so
Free energy:
3.2.2. Probability Distributions#
Probability density functions are also separable:
Marginal distributions:
Maxwell-Boltzmann distribution:
Each momentum component is independently Gaussian distributed. The variance increases with temperature.
3.2.3. Temperature#
Using the distribution of ( p ), we can find the average kinetic energy:
In the canonical ensemble, ( T ) is fixed but ( K ) fluctuates. We define a “kinetic” temperature:
In practice, some momenta are constrained. For example, if linear momentum is conserved, only ( N - 1 ) momenta are true variables. So we define:
Most common form: ( N_{\text{DOF}} = 3(N - 1) ) for linear momentum conservation.
3.2.4. Pressure#
The pressure can be computed from ( Q ):
Be careful: the integration limits of ( Q ) depend on ( V )!
Scale the coordinates as ( q’ = q / V^{1/3} ), then:
3.2.5. Chemical Potential#
Also from ( Q ):
Or:
Example:
Excess chemical potential:
Where ( \Delta U ) is the energy of a test particle inserted at a random position in the existing ensemble.
Note: Insertion can fail in dense systems. Methods like thermodynamic integration, fractional insertion, and Bennett’s acceptance ratio can help.
Note: Defining by deletion (rather than insertion) usually does not work. Pathological case: hard spheres.