Abstract
In this work, we analyze and compare different possible strategies for the transformations among low-rank (i.e., few number of terms) tensor approximations. The motivation behind this is to achieve compact yet accurate representations of potential-like operators (scalar fields) in symbolic or analytical form. We do this analysis from a formal and from a numerical perspective. Specifically, we concentrate on Tucker and Canonic Polyadic ansätze. We introduce the sum-of-product finite basis representations (SOP-FBR) for both. Here, the factor matrices (aka single-particle functions) are approximated through a set of auxiliary basis functions, specific to the system. In this way, analytical, grid-independent, low-rank expressions can be obtained. We illustrate how finite-precision arithmetic hinders transformations among all these forms. The solution to this issue seems to adapt current algorithms to high-precision arithmetic at the expense of an increase in CPU times.
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The data that support the findings of this study are available from the corresponding author upon reasonable request.
Notes
(see https://numpy.org/doc/stable/user/basics.types.html#extended-precision).
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Acknowledgements
NN is very grateful for its Ph.D. funding from the University Paris-Saclay. The authors are very thankful to J.-Y. Bazzara and A. Borissov (ISMO) for their computer support.
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Panadés-Barrueta, R.L., Nadoveza, N., Gatti, F. et al. On the sum-of-products to product-of-sums transformation between analytical low-rank approximations in finite basis representation. Eur. Phys. J. Spec. Top. 232, 1897–1904 (2023). https://doi.org/10.1140/epjs/s11734-023-00928-z
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DOI: https://doi.org/10.1140/epjs/s11734-023-00928-z