Derivation of the Boltzmann Distribution
The Boltzmann distribution describes the probability of a system being in a particular energy state Ei at thermal equilibrium. It arises from statistical mechanics by maximizing entropy subject to constraints.
1. Entropy and Probability Distribution
The entropy S of a system is defined as:
S=−kBi∑pilnpi
where:
- kB is Boltzmann's constant,
- pi is the probability of the system being in state i,
- The sum is over all possible states i.
2. Constraints
Two constraints are imposed:
- Probabilities must sum to 1:
i∑pi=1
This ensures the probabilities pi form a valid distribution. Without this, the solution wouldn’t represent meaningful probabilities for the system's states.
- Energy conservation:
⟨E⟩=constant=i∑piEi
where Ei is the energy of state i. This constraint ensures that while individual particles may exchange energy, the total energy across all particles in the system remains constant.
3. Maximizing Entropy
To find the probability distribution {pi}, maximize the entropy S under the constraints using the method of Lagrange multipliers. Define the function:
L=−kBi∑pilnpi+α(i∑pi−1)+β(i∑piEi−⟨E⟩)
where α and β are Lagrange multipliers.
4. Solving the Optimization Problem
Take the derivative of L with respect to pi:
∂pi∂L=−kB(1+lnpi)+α+βEi
Set ∂pi∂L=0:
−kB(1+lnpi)+α+βEi=0
Simplify to express pi:
lnpi=−kBα−kBβEi−1
Exponentiate both sides:
pi=exp(−kBα−1)exp(−kBβEi)
Define Z=exp(−kBα−1), known as the partition function:
Z=i∑exp(−kBβEi)
Thus:
pi=Zexp(−kBβEi)
5. Interpretation of Parameters
- β is related to the temperature T by β=1/T (in natural units).
- The partition function Z ensures normalization of probabilities:
i∑pi=1
6. Final Result
The Boltzmann distribution is:
pi=∑iexp(−kBTEi)exp(−kBTEi)
This describes the probability of the system occupying the energy state Ei at temperature T.