English

Tensor tomography on asymptotically hyperbolic surfaces

Differential Geometry 2025-10-07 v1 Analysis of PDEs

Abstract

We initiate a study of the inversion of the geodesic X-ray transform ImI_m over symmetric mm-tensor fields on asymptotically hyperbolic surfaces. This operator has a non-trivial kernel whenever m1m\ge 1. To propose a gauge representative to be reconstructed from X-ray data, we first prove a "tt-potential-conformal" decomposition theorem for mm-tensor fields (where "tt" stands for transverse traceless), previously used in integral geometry on compact Riemannian manifolds with boundary in Sharafutdinov, 2007; Dairbekov and Sharafutdinov, 2011. The proof is based on elliptic decompositions of the Guillemin-Kazhdan operators η±\eta_\pm (Guillemin and Kazhdan, 1980) and leverages in the current setting the 0-calculus of Mazzeo-Melrose (Mazzeo and Melrose, 1987; Mazzeo, 1991). Iterating this decomposition gives rise to an "iterated-tt" representative modulo kerIm\ker I_m for a tensor field, which is distinct from the often-used solenoidal representative. In the case of the Poincar\'e disk, we show that the X-ray transform of a tensor in iterated-tt form splits into components that are orthogonal relative to a specific L2L^2 structure in data space. For even tensor fields, we provide a full picture of the data space decomposition, in particular a range characterization of I2nI_{2n} for every nn in terms of moment conditions and spectral decay. Finally, we give explicit approaches for the reconstruction of even tensors in iterated-tt form from their X-ray transform or its normal operator, using specific knowledge of geodesically invariant distributions with one-sided Fourier content, whose properties are analyzed in detail.

Cite

@article{arxiv.2510.04144,
  title  = {Tensor tomography on asymptotically hyperbolic surfaces},
  author = {Nikolas Eptaminitakis and François Monard and Yuzhou Joey Zou},
  journal= {arXiv preprint arXiv:2510.04144},
  year   = {2025}
}

Comments

47 pages, 2 figures

R2 v1 2026-07-01T06:17:50.792Z