Let us try to improve our understanding of the discussions on the density matrix formalism, and the connections with ``information'' or ``entropy'' that we have made. Thus, we consider a simple ``two-state'' system. Let ρ be any general density matrix operating on the two-dimensional Hilbert space of this system.
(a) Calculate the entropy, s=−Tr(ρlnρ) corresponding to this density matrix. Express your result in terms of a single real parameter. Make sure the interpretation of this parameter is clear, as well as its range.
(b) Make a graph of the entropy as a function of the parameter. What is the entropy for a pure state? Interpret your graph in terms of knowledge about a system taken from an ensemble with density matrix ρ.
(c) Consider a system with ensemble ρ a mixture of two ensembles ρ1, ρ2:
ρ=θρ1+(1−θ)ρ2,0≤θ≤1
As an example, suppose
ρ1=21(1001),andρ2=21(1111),
in some basis. Prove that von Neumann's mixing theorem holds for this example:
s(ρ)≥θs(ρ1)+(1−θ)s(ρ2),
with equality iff θ=0 or θ=1.