The Exercise
The relative entropy is usually taken between two density operators, but its formula asks only that and be positive and that the support of lie inside the support of ; neither operator needs unit trace. For this wider relative entropy, show that subadditivity under sums of operators is equivalent to joint convexity under convex combinations. Find how changes when and are multiplied by positive numbers. Then bound the relative entropy of a mixture of positive operators to a mixture , with positive weights and , by the relative entropies of the terms and the weights.
Relative Entropy of Positive Operators
Throughout, is a finite-dimensional complex Hilbert space and logarithms are natural. The support of a positive operator on is the subspace of spanned by the eigenvectors of with nonzero eigenvalue.
The relative entropy of a positive operator on to a positive operator on whose support contains that of is the real number (1) The classical relative entropy of two families of positive numbers and , indexed by the same finite set, is the real number (2)
The Claim
Theorem 1. Consider positive operators on with the support of inside that of and the support of inside that of , and real numbers with . The relative entropy is subadditive, (3)✦ for all such operators, if and only if it is jointly convex, (4)✦ for all such operators and all such and .
Theorem 2. Let and be positive operators on with the support of inside that of , and let and be positive real numbers. Then (5)✦
Theorem 3. Let and , for in a finite nonempty index set, be positive operators on with the support of each inside that of , and let and be positive real numbers. Then (6)✦ If moreover every has unit trace, then (7)✦
What Is Checked
The claims are stated over positive operators on a finite-dimensional complex Hilbert space, the support of each, real weights, and the relative entropy (1), joined in the last bound by the classical relative entropy (2) of the weights. About these the library proves the scaling law (5), each of subadditivity (3) and joint convexity (4) from the other, and the two bounds (6) and (7) on mixtures.