Gibbs definition of entropy is S=-k Law of Thermodynamics? B P,In(P)- what is the distribution at 0 K that allows this distribution to be consistent with the Third

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The image presents a question related to the Gibbs definition of entropy, given by the formula:

\[ S = -k_B \sum_j p_j \ln(p_j) \]

The question asks, what is the distribution at 0 K that is consistent with the Third Law of Thermodynamics?

- One state has a probability of 1, and all others are zero.
- Two states have probabilities of 0.5, and all others are zero.
- All states are populated with exactly equal probabilities.
- The states are populated with completely random probabilities.
Transcribed Image Text:The image presents a question related to the Gibbs definition of entropy, given by the formula: \[ S = -k_B \sum_j p_j \ln(p_j) \] The question asks, what is the distribution at 0 K that is consistent with the Third Law of Thermodynamics? - One state has a probability of 1, and all others are zero. - Two states have probabilities of 0.5, and all others are zero. - All states are populated with exactly equal probabilities. - The states are populated with completely random probabilities.
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