Tubings, chord diagrams, and Dyson–Schwinger equations

Abstract We give series solutions to single insertion place propagator‐type systems of Dyson–Schwinger equations using binary tubings of rooted trees. These solutions are combinatorially transparent in the sense that each tubing has a straightforward contribution. The Dyson–Schwinger equations solved here are more general than those previously solved by chord diagram techniques, including systems and noninteger values of the insertion parameter . We remark on interesting combinatorial connections and properties.

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Publication Details

Journal
Journal of the London Mathematical Society
Published
2024-10-13
DOI
https://doi.org/10.1112/jlms.70006
Citations
5
Primary Topic
Genome Rearrangement Algorithms
Type
article
Field-Weighted Citation Impact
2.75

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article

Tubings, chord diagrams, and Dyson–Schwinger equations

Lukas Nabergall, Nicholas Olson‐Harris, Kurusch Ebrahimi‐Fard, Paul‐Hermann Balduf et al.
5 citations
Journal of the London Mathematical Society
Genome Rearrangement Algorithms
2.75
article

Tubings, chord diagrams, and Dyson–Schwinger equations

Lukas Nabergall, Nicholas Olson‐Harris, Kurusch Ebrahimi‐Fard, Paul‐Hermann Balduf, Karen Yeats, Amelia Cantwell
article en
5 citations

Abstract

Abstract We give series solutions to single insertion place propagator‐type systems of Dyson–Schwinger equations using binary tubings of rooted trees. These solutions are combinatorially transparent in the sense that each tubing has a straightforward contribution. The Dyson–Schwinger equations solved here are more general than those previously solved by chord diagram techniques, including systems and noninteger values of the insertion parameter . We remark on interesting combinatorial connections and properties.

Journal of the London Mathematical SocietyVol. 110(5)
University of Waterloo (CA), Norwegian University of Science and Technology (NO)
Simons Foundation, Canada Research Chairs, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 9%
Genome Rearrangement Algorithms
2.75
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