2016
DOI: 10.1007/s11005-016-0935-6
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Graphical functions in parametric space

Abstract: Abstract. Graphical functions are positive functions on the punctured complex plane C \ {0, 1} which arise in quantum field theory. We generalize a parametric integral representation for graphical functions due to Lam, Lebrun and Nakanishi, which implies the real analyticity of graphical functions. Moreover we prove a formula that relates graphical functions of planar dual graphs.

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Cited by 25 publications
(35 citation statements)
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“…1. They belong to a broader family of conformal integrals which has attracted much attention over the years [17][18][19][20][21][22][23][24][25]. The black lines in the figure provide the position-space interpretation of the "fishnet" diagram, as a contribution to the correlation function G m,n (x i ) = φ We are only interested in the first planar graph contributing to this correlator.…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…1. They belong to a broader family of conformal integrals which has attracted much attention over the years [17][18][19][20][21][22][23][24][25]. The black lines in the figure provide the position-space interpretation of the "fishnet" diagram, as a contribution to the correlation function G m,n (x i ) = φ We are only interested in the first planar graph contributing to this correlator.…”
Section: Introduction and Main Resultsmentioning
confidence: 99%
“…There exist many identities for graphical functions. A Fourier-identity relating planar duals was proved in [31]. Like in the case of periods there also exists a twist identity.…”
Section: 5mentioning
confidence: 99%
“…It also follows from the parametric representation of graphical functions [31]. Property (G2) is proved in [31] while (G3) will be handled in [50]. Conjecture 4.12 gives additional information on the leading terms of the above expansions.…”
Section: Functionsmentioning
confidence: 99%
“…Of the many recent advances made in the evaluation of Feynman integrals, parametric integration is one of the most powerful methods for p-integrals; surpassed only by the position-space approach of graphical functions [58] and the combination [34] of both techniques used in [52,59].…”
Section: Parametric Integrationmentioning
confidence: 99%