Inequalities that Collectively Completely Characterize the Catalytic Majorization Relation
Matthew Klimesh

TL;DR
This paper characterizes the catalytic majorization relation for probability vectors using an infinite family of functions, providing a complete set of inequalities that determine when one vector can be transformed into another with the help of a catalyst.
Contribution
It introduces an infinite family of functions that fully characterize catalytic majorization, advancing the understanding of quantum state transformations.
Findings
Provides an if-and-only-if condition for catalytic majorization.
Introduces an infinite family of functions to characterize the relation.
Connects the mathematical framework to quantum state transformation possibilities.
Abstract
For probability vectors x and y, the catalytic majorization relation x prec_T y is defined to hold when there exists a probability vector z such that x otimes z is majorized by y otimes z. In this paper, an infinite family of functions is given such that, subject to some trivial restrictions, x prec_T y if and only if f_r(x) < f_r(y) for all functions f_r in the family. An outline of a proof of this result is provided. The catalytic majorization relation is known to provide a determination of which transformations of jointly held pure quantum states are possible using local operations and classical communication when an additional jointly held state may be specified to facilitate the transformation without being consumed.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGraph theory and applications · Game Theory and Voting Systems · Catalysis and Hydrodesulfurization Studies
