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\[ E \alpha \frac {1}{n^2} \] |
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\[ \Omega (n=1) = 1 \] |
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\[ \Omega (n=2) = 4 \] |
What is Pv in microcanonical ensemble?
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\[ \sum_v a_v E_v = \epsilon \] |
The term
is the probability of finding the system in state
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\[ w (\overline{a}) = \frac{ A! }{ a_1! a_2! a_3! ..... a_v! } \] |
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\[ w (\overline{a}) = \frac{ A! }{ \Pi_v a_v!} \] |
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\[ \mbox{Number of systems in state 1} \] |
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\[ \mbox{Number of systems in state v} \] |
Below are expressions of the probability to be in a certain state. The term
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\[ P_v = \frac{1}{A} \frac{ \sum_{\overline {a}} \omega (\overline{a}) a_v (\overline{a} ) }{ \sum_{\overline a} \omega (\overline{a}) } \] |
Example
Below is an example of four systems in an ensemble. The term
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\[ w(A) = \frac{4!}{0!4!} \] |
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\[ \mbox{Distribution B} \] |
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\[ w(B) = \frac{4!}{1!3!} \] |
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\[ w(B) = 4P_1 = \frac{1}{4} \left ( \frac{1 \cdot 0 + 4 \cdot 1 + 6 \cdot 2 + 4 \cdot 3 + 1 \cdot 4}{1 + 4 + 6 + 4 + 1} \right ) \] |
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\[ P_1 = \frac{1}{2} \] |
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Distribution of
The term
is the number of permutations for a particular distribution. As the number of systems increases, or asAincreases, the distribution becomes more peaked.
Consider the probability.
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