Everything is Vecchia: Unifying low-rank and sparse inverse Cholesky approximations

Fuente: arXiv
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Main Authors: Kaminetz, Eagan, Webber, Robert J.
Format: Preprint
Published: 2026
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author Kaminetz, Eagan
Webber, Robert J.
author_facet Kaminetz, Eagan
Webber, Robert J.
contents The partial pivoted Cholesky approximation accurately represents matrices that are close to being low-rank. Meanwhile, the Vecchia approximation accurately represents matrices with inverse Cholesky factors that are close to being sparse. What happens if a partial Cholesky approximation is combined with a Vecchia approximation of the residual? This paper shows how the sum is exactly a Vecchia approximation of the original matrix with an augmented sparsity pattern. Thus, Vecchia approximations subsume a class of existing matrix approximations and have broad applicability.
format Preprint
id arxiv_https___arxiv_org_abs_2603_05709
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Everything is Vecchia: Unifying low-rank and sparse inverse Cholesky approximations
Kaminetz, Eagan
Webber, Robert J.
Numerical Analysis
65F55, 65C99, 15A23
The partial pivoted Cholesky approximation accurately represents matrices that are close to being low-rank. Meanwhile, the Vecchia approximation accurately represents matrices with inverse Cholesky factors that are close to being sparse. What happens if a partial Cholesky approximation is combined with a Vecchia approximation of the residual? This paper shows how the sum is exactly a Vecchia approximation of the original matrix with an augmented sparsity pattern. Thus, Vecchia approximations subsume a class of existing matrix approximations and have broad applicability.
title Everything is Vecchia: Unifying low-rank and sparse inverse Cholesky approximations
topic Numerical Analysis
65F55, 65C99, 15A23
url https://arxiv.org/abs/2603.05709