The most general formula for the entropy of a system is
S = -kB ā Ps ln Ps,
where Ps is the probability that the system is in state s.
a) Assuming that the total number of microstates accessible to a system is Ģ, show that the entropy of the system is maximum when all Ģ states occur with equal probability.
b) If, on the other hand, we have an ensemble of systems sharing energy (with mean value EĢ), show that the entropy is maximum when Ps ā exp(-ĢEs), Ģ being a constant determined by the value of EĢ.
c) Further, if we have an ensemble of systems sharing energy (with mean value EĢ) and also sharing particles (with mean value NĢ), show that the entropy is maximum when Ps ā exp(-αNs - ĢEs), α and Ģ being constants determined by the values of NĢ and EĢ.