MeneMestre
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Well, maybe that's a simple question, but it has been pissing me off for some time ... Does entropy increase with improbability?
Entropy, as defined by the Gibbs entropy equation \( S = -k \sum_{i}^{l} p_{i} \ln p_{i} \), quantifies the spread of a probability distribution within a system. The equation indicates that entropy reaches its minimum value of zero when the system is in a delta function distribution and its maximum when the distribution is uniform. Therefore, a system with a greater number of equally probable states exhibits higher entropy compared to one with fewer probable states. This establishes that entropy does indeed increase with improbability in terms of probability distribution spread.
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Entropy is defined for all systems (whether or not the are at equilibrium) by the Gibbs entropy equationMeneMestre said:Does entropy increase with improbability?