Higher-genus Fay-like identities from meromorphic generating functions

A possible way of constructing polylogarithms on Riemann surfaces of higher genera facilitates integration kernels, which can be derived from generating functions incorporating the geometry of the surface. Functional relations among polylogarithms rely on identities for those integration kernels. In this article, we derive identities for Enriquez’ meromorphic generating function and investigate the implications for the associated integration kernels. The resulting identities are shown to be exhaustive and therefore reproduce all identities for Enriquez’ kernels conjectured in arXiv:2407.11476 recently.

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Publication Details

Journal
SciPost Physics
Published
2025-03-14
DOI
https://doi.org/10.21468/scipostphys.18.3.093
Citations
5
Primary Topic
Advanced Combinatorial Mathematics
Type
article
Field-Weighted Citation Impact
26.65

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article

Higher-genus Fay-like identities from meromorphic generating functions

Egor Im, Johannes Broedel, Konstantin Baune, Artyom Lisitsyn et al.
5 citations
SciPost Physics
Advanced Combinatorial Mathematics
26.65
article

Higher-genus Fay-like identities from meromorphic generating functions

Egor Im, Johannes Broedel, Konstantin Baune, Artyom Lisitsyn, Yannis Moeckli
article en
5 citations

Abstract

A possible way of constructing polylogarithms on Riemann surfaces of higher genera facilitates integration kernels, which can be derived from generating functions incorporating the geometry of the surface. Functional relations among polylogarithms rely on identities for those integration kernels. In this article, we derive identities for Enriquez’ meromorphic generating function and investigate the implications for the associated integration kernels. The resulting identities are shown to be exhaustive and therefore reproduce all identities for Enriquez’ kernels conjectured in arXiv:2407.11476 recently.

SciPost PhysicsVol. 18(3)
ETH Zurich (CH), École Polytechnique Fédérale de Lausanne (CH)
National Centres of Competence in Research SwissMAP, Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 0%
Advanced Combinatorial Mathematics
26.65
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