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Related papers: Categorical Semantics for Feynman Diagrams

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String diagrams are a powerful tool for reasoning about composite structures in symmetric monoidal categories. By representing string diagrams as graphs, equational reasoning can be done automatically by double-pushout rewriting. !-graphs…

Logic in Computer Science · Computer Science 2016-02-22 Aleks Kissinger , Vladimir Zamdzhiev

We study the algebraic and analytic structure of Feynman integrals by proposing an operation that maps an integral into pairs of integrals obtained from a master integrand and a corresponding master contour. This operation is a coaction. It…

High Energy Physics - Theory · Physics 2017-08-09 Samuel Abreu , Ruth Britto , Claude Duhr , Einan Gardi

Categorical supermaps generalise higher-order quantum operations from finite-dimensional quantum theory to arbitrary circuit theories. In this paper, we establish the Yoneda lemma for categorical supermaps, which states that whenever a…

Quantum Physics · Physics 2026-04-29 Matt Wilson , James Hefford , Timothée Hoffreumon

Quantum field theory allows more general symmetries than groups and Lie algebras. For instance quantum groups, that is Hopf algebras, have been familiar to theoretical physicists for a while now. Nowdays many examples of symmetries of…

Quantum Algebra · Mathematics 2010-04-15 Urs Schreiber , Zoran Škoda

L-infinity morphisms are studied from the point of view of perturbative quantum field theory, as generalizations of Feynman expansions. The connection with the Hopf algebra approach to renormalization is exploited. Using the coalgebra…

High Energy Physics - Theory · Physics 2007-05-23 Lucian M. Ionescu

This article reports on some recent progresses in Bessel moments, which represent a class of Feynman diagrams in 2-dimensional quantum field theory. Many challenging mathematical problems on these Bessel moments have been formulated as a…

Number Theory · Mathematics 2022-04-05 Yajun Zhou

We state some remarks on `$n$-dimensional Feynman diagrams' ($n\in\N$). There are different features between in the case of $n$-dimensional Feynman diagrams($n\geqq3$) and in the 1-, 2-dimensional case.

High Energy Physics - Theory · Physics 2007-05-23 Eiji Ogasa

We show that the series expansion of quantum field theory in the Feynman diagrams can be explicitly mapped on the partition function of the simplicial string theory -- the theory describing embeddings of the two--dimensional simplicial…

High Energy Physics - Theory · Physics 2009-02-06 Emil T. Akhmedov

In modern mathematics, graphs figure as one of the better-investigated class of mathematical objects. Various properties of graphs, as well as graph-processing algorithms, can be useful if graphs of a certain kind are used as denotations…

Logic in Computer Science · Computer Science 2007-05-23 Alex Shkotin

In this work, we generalize a recursive enumerative formula for connected Feynman diagrams with two external legs. The Feynman diagrams are defined from a fermionic gas with a two-body interaction. The generalized recurrence is valid for…

High Energy Physics - Theory · Physics 2019-07-30 Erick Castro , Itzhak Roditi

Geometrical formulation of classical mechanics with forces that are not necessarily potential-generated is presented. It is shown that a natural geometrical "playground" for a mechanical system of point particles lacking Lagrangian and/or…

High Energy Physics - Theory · Physics 2010-01-26 Denis Kochan

The classifying diagram was defined by Rezk and is a generalization of the nerve of a category; in contrast to the nerve, the classifying diagram of two categories is equivalent if and only if the categories are equivalent. In this paper we…

Algebraic Topology · Mathematics 2019-11-27 Christina Osborne

We show that observables in QED-type theories can be realized in terms of a combinatorial structure called chord diagrams. One advantage of this combinatorial representation is that it simplifies the study of the asymptotic behavior of…

High Energy Physics - Theory · Physics 2025-01-10 Ali Assem Mahmoud

The predictions of the standard model of particle physics are highly successful in spite of the fact that several parts of the underlying quantum field theoretical framework are analytically problematic. Indeed, it has long been suggested,…

Mathematical Physics · Physics 2021-05-05 David M. Jackson , Achim Kempf , Alejandro H. Morales

We present a general method to optimize the evaluation of Feynman diagrammatic expansions, which requires the automated symbolic assignment of momentum/energy conserving variables to each diagram. With this symbolic representation, we…

Strongly Correlated Electrons · Physics 2020-03-18 Amir Taheridehkordi , S. H. Curnoe , J. P. F. LeBlanc

Graph compositions generalize both integer compositions and partitions of a finite set. We develop formulas, generating functions and recurrence relations for composition counting functions for several families of graphs.

Combinatorics · Mathematics 2007-05-23 A Knopfmacher , M E Mays

While lifting map has significantly enhanced the expressivity of graph neural networks, extending this paradigm to hypergraphs remains fragmented. To address this, we introduce the categorical Weisfeiler-Lehman framework, which formalizes…

Machine Learning · Computer Science 2026-02-09 Seongjin Choi , Gahee Kim , Se-Young Yun

We axiomatise the dagger category of complex Hilbert spaces and bounded linear maps, using exclusively purely categorical conditions. Our axioms are chosen with the aim of an easy interpretability: two of them describe the composition of…

Category Theory · Mathematics 2025-11-24 Jan Paseka , Thomas Vetterlein

Architecture styles characterise families of architectures sharing common characteristics. We have recently proposed configuration logics for architecture style specification. In this paper, we study a graphical notation to enhance…

Software Engineering · Computer Science 2016-08-12 Anastasia Mavridou , Eduard Baranov , Simon Bliudze , Joseph Sifakis

The unprecedented pace of machine learning research has lead to incredible advances, but also poses hard challenges. At present, the field lacks strong theoretical underpinnings, and many important achievements stem from ad hoc design…

Machine Learning · Computer Science 2024-10-16 Francesco Riccardo Crescenzi
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