Graphs in Perturbation Theory

Graphs in Perturbation Theory
Author: Michael Borinsky
Publisher: Springer
Total Pages: 186
Release: 2018-11-04
Genre: Science
ISBN: 3030035417

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This book is the first systematic study of graphical enumeration and the asymptotic algebraic structures in perturbative quantum field theory. Starting with an exposition of the Hopf algebra structure of generic graphs, it reviews and summarizes the existing literature. It then applies this Hopf algebraic structure to the combinatorics of graphical enumeration for the first time, and introduces a novel method of asymptotic analysis to answer asymptotic questions. This major breakthrough has combinatorial applications far beyond the analysis of graphical enumeration. The book also provides detailed examples for the asymptotics of renormalizable quantum field theories, which underlie the Standard Model of particle physics. A deeper analysis of such renormalizable field theories reveals their algebraic lattice structure. The pedagogical presentation allows readers to apply these new methods to other problems, making this thesis a future classic for the study of asymptotic problems in quantum fields, network theory and far beyond.


Graphs in Perturbation Theory
Language: en
Pages: 186
Authors: Michael Borinsky
Categories: Science
Type: BOOK - Published: 2018-11-04 - Publisher: Springer

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This book is the first systematic study of graphical enumeration and the asymptotic algebraic structures in perturbative quantum field theory. Starting with an
Graphs in Perturbation Theory
Language: en
Pages:
Authors: Michael Borinsky
Categories: Algebra
Type: BOOK - Published: 2018 - Publisher:

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Large-Order Behaviour of Perturbation Theory
Language: en
Pages: 595
Authors: J.C. Le Guillou
Categories: Mathematics
Type: BOOK - Published: 2012-12-02 - Publisher: Elsevier

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This volume is concerned with the determination of the behaviour of perturbation theory at large orders in quantum mechanics and quantum field theory, and its a
On Graph Perturbation Theory and Algorithms for Scalable Mining of Noisy and Uncertain Graph Data with Knowledge Priors
Language: en
Pages: 79
Perturbation theory for linear operators
Language: en
Pages: 610
Authors: Tosio Kato
Categories: Mathematics
Type: BOOK - Published: 2013-06-29 - Publisher: Springer Science & Business Media

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