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Basic ideas of statistical physics

Macroscopic and Microscopic Quantities

Macroscopic quantities do not change over time — Equilibrium state

Equal Probability Hypothesis

For an isolated system in equilibrium, each microscopic state has the same probability of being reached

Thermodynamics: Bottom-up phenomenological approach

Statistical Physics: Top-down theoretical approach

Measurable macroscopic quantities are actually the statistical averages of unmeasurable microscopic quantities

However, since t is a time scale that is extremely small relative to a macroscopic system but still large compared to the microscopic world, the concept of an ensemble is introduced

Replicate the system N times while ensuring their macroscopic states remain the same

Time averaging is equivalent to ensemble averaging (Ergodic Hypothesis ensures this)

(For an isolated system, starting from any microscopic state, after a sufficiently long time, the system will traverse all possible microscopic states

On the other hand, if the number of ensembles N is large enough, it will also traverse all possible microscopic states. Hence, they are equivalent)

Statistical averaging is assumed to be ensemble averaging by default

Core of Statistical Physics: Solving the probability Pi that a system falls into each microscopic state

The partial derivative of Pi with respect to time equals zero → Equilibrium statistical mechanics; otherwise, it describes non-equilibrium states

Microcanonical Ensemble

Isolated system, fixed N, V, E

Each microscopic state has a definite energy

Canonical Ensemble

Fixed N, V, T

The probability of a system in a canonical ensemble taking a particular microscopic state with a specific energy can be determined

The system's energy (microscopic quantity) is uncertain, but its average energy (internal energy, macroscopic quantity) is definite

Assume a system is coupled to a large heat reservoir, ensuring a fixed temperature

After reaching equilibrium, both the system and the reservoir have the same definite temperature

The system and the heat reservoir together form an isolated system, which is an element of the microcanonical ensemble, with a definite energy E0

Let the system's energy be ES and the heat reservoir's energy be E0 - ES

The total number of microscopic states: Ωtot(E0) = Σ Ωs(ES)ΩR(E0-ES)

Only depends on total energy E0 and is independent of ES

The probability of the system taking a particular microscopic state is proportional to ΩR(E0-ES)

Since the heat reservoir is large, taking the logarithm and expanding leads to... the partition function

Using the partition function, all macroscopic quantities of the system can be expressed

U, S, F

All other macroscopic quantities can be derived from U and F

Grand Canonical Ensemble

Fixed μ, V, T

Similarly, the grand partition function can be obtained

Using it, any macroscopic quantity can be calculated

Quantum Statistics

For quantum systems, not only statistical averaging is needed, but also quantum averaging

...Conclusion: ⟨A⟩_quantum = Σ ⟨k| ρA |k⟩

Key point: Solve for the density matrix

From this, the expressions for the average values of physical quantities in the canonical and grand canonical ensembles under the quantum statistical framework can be obtained

Von Neumann Equation can be compared to the Liouville Equation