Estimates for the quantized tensor train ranks for the power functions
Numerical Analysis
2025-01-20 v1 Numerical Analysis
Abstract
In this work we provide theoretical estimates for the ranks of the power functions , in the quantized tensor train (QTT) format for . Such functions and their several generalizations (e.~g. ) play an important role in studies of the asymptotic solutions of the aggregation-fragmentation kinetic equations. In order to support the constructed theory we verify the values of QTT-ranks of these functions in practice with the use of the TTSVD procedure and show an agreement between the numerical and analytical results.
Keywords
Cite
@article{arxiv.2404.12230,
title = {Estimates for the quantized tensor train ranks for the power functions},
author = {Sergey A. Matveev and Matvey Smirnov},
journal= {arXiv preprint arXiv:2404.12230},
year = {2025}
}
Comments
6 pages, 1 figure, 20 references