A finite sufficient set of conditions for catalytic majorization
David Elkouss, Ananda G. Maity, Aditya Nema, Sergii Strelchuk
TL;DR
This work establishes finite, computable sets of inequalities that guarantee catalytic majorization (trumping) in both LOCC-assisted state transformations and catalytic thermo-majorization under thermal operations. By leveraging symmetric polynomials F_{k,r} and norm-entropy relations, the authors derive explicit criteria that replace infinite families of conditions with a finite, checkable suite. They extend the framework to diagonal-energy states, states with coherence, and irrational thermal distributions through rational approximations and embedding maps, while connecting to generalized free energies and Rényi divergences. The contribution includes concrete numerical examples and a software toolbox to apply these finite criteria in practice, enabling practical certification of catalysis-enabled state transformations in quantum information and thermodynamics.
Abstract
The majorization relation has found numerous applications in mathematics, quantum information and resource theory, and quantum thermodynamics, where it describes the allowable transitions between two physical states. In many cases, when state vector $x$ does not majorize state vector $y$, it is nevertheless possible to find a catalyst - another vector $z$ such that $x \otimes z$ majorizes $y \otimes z$. Determining the feasibility of such catalytic transformation typically involves checking an infinite set of inequalities. Here, we derive a finite sufficient set of inequalities that imply catalysis. Extending this framework to thermodynamics, we also establish a finite set of sufficient conditions for catalytic state transformations under thermal operations. For novel examples, we provide a software toolbox implementing these conditions.
