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arXiv · 2312.00724

Approximation Bounds for Model Reduction on Polynomially Mapped Manifolds

Patrick Buchfink·Silke Glas·Bernard Haasdonk
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Abstract

For projection-based linear-subspace model order reduction (MOR), it is well known that the Kolmogorov n-width describes the best-possible error for a reduced order model (ROM) of size n. In this paper, we provide approximation bounds for ROMs on polynomially mapped manifolds. In particular, we show that the approximation bounds depend on the polynomial degree p of the mapping function as well as on the linear Kolmogorov n-width for the underlying problem. This results in a Kolmogorov (n, p)-width, which describes a lower bound for the best-possible error for a ROM on polynomially mapped manifolds of polynomial degree p and reduced size n.

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Patrick Buchfink, Silke Glas, Bernard Haasdonk. 2023-12-01. Approximation Bounds for Model Reduction on Polynomially Mapped Manifolds. https://arxiv.org/abs/2312.00724

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