Approximate Ricci‐Flat Metrics for Calabi–Yau Manifolds

ABSTRACT We outline a method to determine analytic Kähler potentials with associated approximately Ricci‐flat Kähler metrics on Calabi–Yau manifolds. Key ingredients are numerically calculating Ricci‐flat Kähler potentials via machine learning techniques and fitting the numerical results to Donaldson's ansatz. We apply this method to the Dwork family of quintic hypersurfaces in and an analogous one‐parameter family of bi‐cubic CY hypersurfaces in . In each case, a relatively simple analytic expression is obtained for the approximately Ricci‐flat Kähler potentials, including the explicit dependence on the complex structure parameter. We find that these Kähler potentials only depend on the modulus of the complex structure parameter.

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Publication Details

Journal
Fortschritte der Physik
Published
2026-06-30
DOI
https://doi.org/10.1002/prop.70129
Primary Topic
Geometry and complex manifolds
Type
article
Field-Weighted Citation Impact
0.00

Funders

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article

Approximate Ricci‐Flat Metrics for Calabi–Yau Manifolds

Fortschritte der Physik
Geometry and complex manifolds
article

Approximate Ricci‐Flat Metrics for Calabi–Yau Manifolds

article en

Abstract

ABSTRACT We outline a method to determine analytic Kähler potentials with associated approximately Ricci‐flat Kähler metrics on Calabi–Yau manifolds. Key ingredients are numerically calculating Ricci‐flat Kähler potentials via machine learning techniques and fitting the numerical results to Donaldson's ansatz. We apply this method to the Dwork family of quintic hypersurfaces in and an analogous one‐parameter family of bi‐cubic CY hypersurfaces in . In each case, a relatively simple analytic expression is obtained for the approximately Ricci‐flat Kähler potentials, including the explicit dependence on the complex structure parameter. We find that these Kähler potentials only depend on the modulus of the complex structure parameter.

Fortschritte der PhysikVol. 74(7)
Yonsei University (KR), University of Oxford (GB)
Science and Technology Facilities Council
Openalex Percentile: Top 87%
Geometry and complex manifolds
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