Sharp Continuity of Petz and Sandwiched Rényi Conditional Entropies

📅 2026-08-05
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This work establishes, for the first time, sharp continuity bounds for both Petz and sandwiched Rényi conditional entropies for all orders α ∈ [1/2, 1) in terms of trace distance. By linearizing the associated concave Rényi functionals around comparison points determined by families of isotropic identities, and combining Schmidt-rank dominance, trace-distance duality, and non-commutative perturbation estimates, the authors derive an optimal bound of the form (1/(1−α)) log[(1−ε)^α + (D−1)^{1−α} ε^α], where ε = min{δ, 1−1/D} and D denotes the effective dimension. This bound is tight for any trace-distance constraint and, in the limit α → 1, exactly recovers the known sharp continuity bound for quantum conditional entropy, thereby significantly advancing the theory of continuity for non-commutative entropies.
📝 Abstract
We determine the sharp modulus of continuity, in trace distance, of the optimized Petz and sandwiched Rényi conditional entropies for every order $α\in[\frac12,1)$. If two bipartite states are within trace distance $δ$, then both conditional entropies differ by at most $\frac{1}{1-α} \log[(1-\varepsilon)^α +(D-1)^{1-α}\varepsilon^α]$, where $\varepsilon := \min\{δ,1-1/D\}$ and $D$ is the effective dimension, given by the dimension of the first subsystem times the largest possible Schmidt rank. For every distance constraint $δ\in[0,1]$, the bound is attained by an isotropic pair with a maximally entangled anchor. Taking $α\uparrow1$ recovers the recent sharp continuity bound of quantum conditional entropy by Berta et al. [arXiv:2607.24687]. The proof linearizes the relevant concave Rényi functional at a comparison point dictated by the isotropic equality family. Schmidt-rank domination extends the equality geometry to an arbitrary anchor state, after which trace-distance duality and a noncommutative calibration estimate control the perturbation and anchor term without weakening the sharp constant. The latter estimate requires matrix analysis and is assisted by ChatGPT 5.6 Sol.
Problem

Research questions and friction points this paper is trying to address.

Rényi conditional entropy
trace distance
modulus of continuity
quantum information
entanglement
Innovation

Methods, ideas, or system contributions that make the work stand out.

sharp continuity
Rényi conditional entropy
trace distance
Schmidt rank
noncommutative calibration
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Hao-Chung Cheng
Hao-Chung Cheng
National Taiwan University
Quantum Information TheoryQuantum Machine LearningMatrix AnalysisStatistical Inference
P
Po-Chieh Liu
Department of Electrical Engineering and Graduate Institute of Communication Engineering, National Taiwan University, Taipei 106, Taiwan (R.O.C.); Department of Mathematics, National Taiwan University