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 , generated by the first column of the form admits a QTT representation with the QTT ranks bounded by . Under certain assumptions on the entries of , we also derive an explicit QTT representation of . 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}
}