Classical statistical mechanics
Statistical ensembles: microcanonical and canonical
Study a model of a small system exchanging energy with a heat bath: once isolated constraints are relaxed, microstate probabilities follow the Boltzmann distribution with instead of being equal. Vary the temperature to watch the distribution move between the two ensemble limits.
Equipment
- Virtual small system immersed in a heat bath on a 3D canvas
- Temperature slider T (normalized)
- Model-parameter slider
- Quantitative plot of microstate probabilities
Procedure
Observe energy exchange
In figure 1, set T at a mid value: particles of the small system constantly exchange energy with the surrounding bath — the canonical-ensemble condition (fixed T, V, N), unlike the isolated microcanonical one (fixed E, V, N).
Read the distribution versus temperature
In figure 2, lower the temperature: probability piles into the lowest-energy microstate. Raise T: higher states get populated as ; as the distribution flattens — approaching the microcanonical limit within the allowed energy window.
Estimate the partition function and predict
Use the normalized readout: the total weight shrinks as T rises because high states add more to the sum. Move the parameter slider to shift the level spacing, predict the log-distribution slope, then check the plot.