Abstract
We describe a generalized version of the result called quantum Dini lemma that was used previously for analysis of local continuity of basic correlation and entanglement measures. The generalization consists in considering sequences of functions instead of a single function. It allows to expand the scope of possible applications of the method. We prove two general dominated convergence theorems and the theorem about preserving local continuity under convex mixtures. By using these theorems we obtain several convergence conditions for the quantum relative entropy and for the mutual information of a quantum channel considered as a function of a pair (channel, input state).
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Notes
The support \(\text{supp}\rho\) of a state \(\rho\) is the closed subspace spanned by the eigenvectors of \(\rho\) corresponding to its positive eigenvalues.
See the remark after formula (83) in [1] how to avoid the ambiguity of the definition of \(P_{m}^{\rho}\) associated with multiple eigenvalues.
See the remark after formula (83) in [1] how to avoid the ambiguity of the definition of \(P_{\widehat{m}(\rho)}^{\sigma}\) associated with multiple eigenvalues.
If the extended von Neumann entropy of the operators \(\rho\) and \(\sigma\) is finite then inequalities (69) and (70) follow, due to representation (71), from the inequalities in (4). In the general case these inequalities can be proved by approximation using Lemma 4 in [3].
We denote by \(\mathcal{D}(H)\) the domain of \(H\).
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ACKNOWLEDGMENTS
I am grateful to L. Lami whose study of the relative entropy of resource motivated this research. I am also grateful to A. S. Holevo and to the participants of his seminar ‘‘Quantum probability, statistic, information’’ (the Steklov Mathematical Institute) for useful discussion.
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This work is supported by the Russian Science Foundation under grant no. 19-11-00086
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APPENDIX A
APPENDIX A
We assume below that the value of \(\text{Tr}H\rho\) (finite or infinite) for a positive (semi-definite) operator \(H\) on a Hilbert space \(\mathcal{H}\) and any positive operator \(\rho\) in \(\mathfrak{T}(\mathcal{H})\) is defined according to the rule (8).
Proposition 5. Let \(\{\rho^{1}_{n}\}\), \(\{\rho^{2}_{n}\}\), \(\{\sigma^{1}_{n}\}\) and \(\{\sigma^{2}_{n}\}\) be sequences of operators in \(\mathfrak{T}_{+}(\mathcal{H})\) converging, respectively, to nonzero operators \(\rho^{1}_{0}\), \(\rho^{2}_{0}\), \(\sigma^{1}_{0}\) and \(\sigma^{2}_{0}\) such that \(\rho^{1}_{n}\geq\rho^{2}_{n}\) and \(\sigma^{1}_{n}\leq\sigma^{2}_{n}\) for all \(n\geq 0\). If
then
Remark 5. The lower semicontinuity of the von Neumann entropy and the relative entropy implies, due to representation (71), that the function \((\rho,\sigma)\mapsto\text{Tr}\rho(-\ln\sigma)\) is lower semicontinuous on \(\mathfrak{T}_{+}(\mathcal{H})\times\mathfrak{T}_{+}(\mathcal{H})\). It follows that the quantities \(A_{i}-\text{Tr}\rho^{i}_{0}(-\ln\sigma_{0}^{i})\), \(i=1,2\), in Proposition 5 are nonnegative.
Proof. By the condition (103) we may assume that \(\text{Tr}\rho^{1}_{n}(-\ln\sigma_{n}^{1})<+\infty\) for all \(n\geq 0\) and hence
Let \(a_{n}^{i}\doteq\text{Tr}\rho^{i}_{n}(-\ln\sigma_{n}^{i})\), \(n\geq 0\), \(i=1,2\). For any natural \(k\) introduce the quantities
By Theorems VIII.18 and VIII.20 in [22] for each \(i\) and \(k\) the sequence of bounded operators \(\ln(\sigma_{n}^{i}+k^{-1}I_{\mathcal{H}})\) tends to the bounded operator \(\ln(\sigma_{0}^{i}+k^{-1}I_{\mathcal{H}})\) as \(n\to+\infty\) in the operator norm. It follows that
By using the operator monotonicity of the logarithm it is easy to show that
Thus, for any \(\varepsilon>0\) there is \(k_{\varepsilon}\) such that \(a_{0}^{1}-a_{k_{\varepsilon},0}^{1}<\varepsilon\). Condition (103) and relation (105) with \(i=1\) imply that there is \(n_{\varepsilon}\) such that \(a_{n}^{1}-a_{0}^{1}\leq\Delta+\varepsilon\) and \(a_{0,k_{\varepsilon}}^{1}-a_{n,k_{\varepsilon}}^{1}\leq\varepsilon\) for all \(n\geq n_{\varepsilon}\). It follows that
By using expression (9) and taking (104) into account it is easy to show that
where \([\sigma_{n}^{i}]^{-1}\) is the Moore–Penrose inverse of \(\sigma_{n}^{i}\). So, since \(\rho_{n}^{1}\geq\rho_{n}^{2}\) and \(\sigma_{n}^{1}\leq\sigma_{n}^{2}\), Lemmas 4 and 5 below show that
Thus, it follows from (105) with \(i=2\), (106) and (107) that
for all sufficiently large \(n\). This implies the assertion of the proposition. \(\Box\)
Lemma 4. Let \(\sigma_{1}\) and \(\sigma_{2}\) be nonzero positive operators in \(\mathfrak{T}(\mathcal{H})\) such that \(\sigma_{1}\leq\sigma_{2}\) and \(c>0\) be arbitrary. Then \(H_{1}=\ln(I_{\mathcal{H}}+c\sigma^{-1}_{1})\) and \(H_{2}=\ln(I_{\mathcal{H}}+c\sigma^{-1}_{2})\) are positive semidefinite operators on \(\mathcal{H}\) such that
for any \(\varphi\in\mathcal{D}(\sqrt{-\ln\sigma_{1}})\), where \(\langle\varphi|H_{i}|\varphi\rangle\doteq||\sqrt{H_{i}}\varphi||^{2}\) and \(\sigma^{-1}_{i}\) denotes the Moore–Penrose inverse of \(\sigma_{i}\), \(i=1,2\).Footnote 7
If the operators \(\sigma_{1}\) and \(\sigma_{2}\) are non-degenerate then Lemma 4 can be deduced easily from Corollary 10.12 in [23] and the operator monotonicity of the logarithm.
Proof. Denote \(I_{\mathcal{H}}\) by \(I\) for brevity. For a given vector \(\varphi\in\mathcal{D}(\sqrt{-\ln\sigma_{1}}\hskip 1.0pt)\) and any natural \(k\) and \(n\) introduce the quantities
and
where \(P_{n}^{i}\) is the spectral projector of the operator \(\sigma_{i}\) corresponding to its \(n\) maximal nonzero eigenvalues (taking multiplicity into account), \(i=1,2\) (if \(\text{rank}\sigma_{i}<n\) we assume that \(P_{n}^{i}\) is the projector on the support \(\text{supp}\sigma_{i}\) of \(\sigma_{i}\)). Since \(\varphi\in\text{supp}\sigma_{1}\subseteq\text{supp}\sigma_{2}\) by the condition \(\sigma_{1}\leq\sigma_{2}\), we have
It is easy to see that \(\varphi\in\mathcal{D}(\sqrt{H_{1}}\hskip 1.0pt)\), which means that \(\sup_{n}a_{*,n}^{1}\) is finite. Thus, to prove the assertion of the lemma it suffices to show that
The positivity of the operator \(\ln(I+c(\sigma_{i}+k^{-1}I)^{-1})\) and the operator monotonicity of the logarithm imply that
for all \(n\) and \(k\). Since \(\sigma_{1}\leq\sigma_{2}\), we have \((\sigma_{1}+k^{-1}I)^{-1}\geq(\sigma_{2}+k^{-1}I)^{-1}\) for any \(k\) [23, Corollary 10.13], So, the operator monotonicity of the logarithm also implies
Since \(P_{n}^{i}\ln(I+c\sigma_{i}^{-1})\) and \(\ln(I+c(\sigma_{i}+k^{-1}I)^{-1})\) are bounded positive operators, it follows from (108) and (109) that
and hence
Thus, inequality (110) shows that
\(\Box\)
Lemma 5. Let \(H\) be a positive (semi-definite) operator on a Hilbert space \(\mathcal{H}\) and \(\rho=\sum_{i}|\varphi_{i}\rangle\langle\varphi_{i}|\) the spectral decomposition of a positive operator \(\rho\) in \(\mathfrak{T}(\mathcal{H})\) . If \(\text{Tr}H\rho\) is finite then all the vectors \(\varphi_{i}\) belong to the domain of \(\sqrt{H}\) and
Proof. Let \(P_{n}\) be the spectral projector of \(H\) corresponding to the interval \([0,n]\). Since \(P_{n}H\) is a bounded operator for each \(n\), we have
Since the sequence \(\{||\sqrt{H}P_{n}\varphi_{i}||^{2}\}_{n}\) is nondecreasing for each given \(i\), it follows from the assumption \(\text{Tr}H\rho=\sup_{n}\text{Tr}HP_{n}\rho<+\infty\) that \(a_{i}=\sup_{n}||\sqrt{H}P_{n}\varphi_{i}||^{2}<+\infty\) for all \(i\) and \(\text{Tr}H\rho=\sum_{i}a_{i}\). The finiteness of \(a_{i}\) means, by the spectral theorem, that \(\varphi_{i}\in\mathcal{D}(\sqrt{H})\) and \(a_{i}=||\sqrt{H}\varphi_{i}||^{2}\). \(\Box\)
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Shirokov, M.E. Convergence Conditions for the Quantum Relative Entropy and Other Applications of the Deneralized Quantum Dini Lemma. Lobachevskii J Math 43, 1755–1777 (2022). https://doi.org/10.1134/S1995080222100353
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DOI: https://doi.org/10.1134/S1995080222100353