The Mercer-Young theorem for matrix-valued kernels on separable metric spaces

Abstract We generalize the characterization theorem going back to Mercer and Young, which states that a symmetric and continuous kernel is positive definite if and only if it is integrally positive definite, to matrix-valued kernels on separable metric spaces. We also demonstrate the applications of the generalized theorem to the field of convex optimization and other areas.

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Publication Details

Journal
Positivity
Published
2025-05-18
DOI
https://doi.org/10.1007/s11117-025-01123-1
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

The Mercer-Young theorem for matrix-valued kernels on separable metric spaces

Sturmius Tuschmann, Eyal Neuman
Positivity
Optimization and Variational Analysis
article

The Mercer-Young theorem for matrix-valued kernels on separable metric spaces

Sturmius Tuschmann, Eyal Neuman
article en

Abstract

Abstract We generalize the characterization theorem going back to Mercer and Young, which states that a symmetric and continuous kernel is positive definite if and only if it is integrally positive definite, to matrix-valued kernels on separable metric spaces. We also demonstrate the applications of the generalized theorem to the field of convex optimization and other areas.

PositivityVol. 29(3)
Imperial College London (GB)
Engineering and Physical Sciences Research Council
Reduced inequalities
Openalex Percentile: Top 88%
Optimization and Variational Analysis
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