English

Tensor rank bounds and explicit QTT representations for the inverses of circulant matrices

Numerical Analysis 2022-05-10 v1 Numerical Analysis

Abstract

In this paper, we are concerned with the inversion of circulant matrices and their quantized tensor-train (QTT) structure. In particular, we show that the inverse of a complex circulant matrix AA, generated by the first column of the form (a0,,am1,0,,0,an,,a1)(a_0,\dots,a_{m-1},0,\dots,0,a_{-n},\dots, a_{-1})^\top admits a QTT representation with the QTT ranks bounded by (m+n)(m+n). Under certain assumptions on the entries of AA, we also derive an explicit QTT representation of A1A^{-1}. The latter can be used, for instance, to overcome stability issues arising when numerically solving differential equations with periodic boundary conditions in the QTT format.

Keywords

Cite

@article{arxiv.2205.04335,
  title  = {Tensor rank bounds and explicit QTT representations for the inverses of circulant matrices},
  author = {Lev Vysotsky and Maxim Rakhuba},
  journal= {arXiv preprint arXiv:2205.04335},
  year   = {2022}
}