1976
DOI: 10.1063/1.523078
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Bogolubov–Parasiuk theorem in the α-parametric representation

Abstract: A renormalized Feynman amplitude expressed in the α-parameters is defined by introducing a subtraction operator acting directly upon the α-integrand. Different forms of this subtraction operator are discussed. We define the isotropic and nonisotropic normal products and we give a more general oversubtraction rule which ensures both the absolute convergence of the amplitude and the Bogolubov, Parasiuk and Hepp recurrence. The proof of absolute convergence of the amplitude is performed using Hepp’s sectors and e… Show more

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Cited by 55 publications
(73 citation statements)
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“…A complete proof of this renormalizability property goes well beyond the scope of this Letter and is given elsewhere [15]. the analysis being inspired from the direct proof by Bergère and Lam of the renormalizability in field theory of Feynman amplitudes in the α-representation [17].…”
Section: Fig 1: Factorization Property (9)mentioning
confidence: 99%
“…A complete proof of this renormalizability property goes well beyond the scope of this Letter and is given elsewhere [15]. the analysis being inspired from the direct proof by Bergère and Lam of the renormalizability in field theory of Feynman amplitudes in the α-representation [17].…”
Section: Fig 1: Factorization Property (9)mentioning
confidence: 99%
“…Such a reorganization is presented in section 7, and requires an elaborate "equivalence classes of nests" construction, inspired from [23].…”
Section: They Correspond To An Upper Critical Dimension D ⋆ = 2d/(2 −mentioning
confidence: 99%
“…Our construction is inspired by a construction by Bergère and Lam in [23] in the context of local field theories in the Schwinger representation. Extensive modifications are however necessary in order to make this construction applicable in our context.…”
Section: Equivalence Classes Of Nests: General Constructionmentioning
confidence: 99%
“…It can be used as a starting point to work out the renormalization of the model directly in parametric space, as can be done in the commutative case [14]. It is also a good starting point to define the regularization and minimal dimensional renormalization scheme of NCΦ 4 4 .…”
Section: Introductionmentioning
confidence: 99%