Systematics of U-spin sum rules for systems with direct sums

A bstract A rich mathematical structure underlying flavor sum rules has been discovered recently. In this work, we extend these findings to systems with a direct sum of representations. We prove several results for the general case. We derive an algorithm that enables the determination of all U -spin amplitude sum rules at arbitrary order of the symmetry breaking for any system containing a direct sum of the representations 0 ⨁ 1. Potential applications are numerous and include, for example, higher order sum rules for CP-violating charm decays with an arbitrary number of final states.

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Publication Details

Journal
Journal of High Energy Physics
Published
2024-12-10
DOI
https://doi.org/10.1007/jhep12(2024)072
Citations
1
Primary Topic
Algorithms and Data Compression
Type
article
Field-Weighted Citation Impact
0.35

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article

Systematics of U-spin sum rules for systems with direct sums

Stefan Schacht, Margarita Gavrilova
1 citations
Journal of High Energy Physics
Algorithms and Data Compression
0.35
article

Systematics of U-spin sum rules for systems with direct sums

Stefan Schacht, Margarita Gavrilova
article en
1 citations

Abstract

A bstract A rich mathematical structure underlying flavor sum rules has been discovered recently. In this work, we extend these findings to systems with a direct sum of representations. We prove several results for the general case. We derive an algorithm that enables the determination of all U -spin amplitude sum rules at arbitrary order of the symmetry breaking for any system containing a direct sum of the representations 0 ⨁ 1. Potential applications are numerous and include, for example, higher order sum rules for CP-violating charm decays with an arbitrary number of final states.

Journal of High Energy PhysicsVol. 2024(12)
Cornell University (US), University of Manchester (GB)
UK Research and Innovation, Science and Technology Facilities Council
Peace, Justice and strong institutions
Openalex Percentile: Top 31%
Algorithms and Data Compression
0.35
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