Entropy Stability and Spectral Concentration under Convex Block Constraints

We investigate entropy minimization problems for quantum states subject to convex block-diagonal constraints. Our principal result is a quantitative stability theorem: if a state has entropy within epsilon of the minimum possible value under a fixed block constraint, then it must lie within O (epsilon^1/2) in trace norm of the manifold of entropy minimizers. We show that this rate is optimal. The analysis is entirely finite-dimensional and relies on a precise decomposition of entropy into classical and internal components, together with sharp relative entropy inequalities. As an application, we study finite additive operators whose spectral decomposition induces natural block constraints. In this setting, the stability theorem yields quantitative non-concentration bounds for induced spectral measures. The framework is abstract and independent of arithmetic input. It provides a general stability principle for entropy minimizers under linear spectral constraints.