Upper bounds on homogeneous fractional Gagliardo–Nirenberg–Sobolev constants via parabolic estimates

Common proofs of the Gagliardo–Nirenberg–Sobolev (GNS) inequalities do not provide explicit bounds on the involved constants, unless a sharp constant is being determined. GNS inequalities naturally occur in error estimates for numerical approximations. In particular, bounds on GNS constants allow us to provide explicit a priori estimates. We provide an algorithm that determines explicit upper bounds on the non-endpoint homogeneous GNS inequalities in terms of explicit upper bounds for Young’s convolution inequality and parabolic estimates. Our method is based on the heat-kernel representation of the inverse Laplacian, from which we deduce interpolation estimates.

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Publication Details

Journal
International Journal of Mathematics
Published
2025-11-28
DOI
https://doi.org/10.1142/s0129167x26500163
Primary Topic
Nonlinear Partial Differential Equations
Type
article
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article

Upper bounds on homogeneous fractional Gagliardo–Nirenberg–Sobolev constants via parabolic estimates

Michael Hott
International Journal of Mathematics
Nonlinear Partial Differential Equations
article

Upper bounds on homogeneous fractional Gagliardo–Nirenberg–Sobolev constants via parabolic estimates

Michael Hott
article en

Abstract

Common proofs of the Gagliardo–Nirenberg–Sobolev (GNS) inequalities do not provide explicit bounds on the involved constants, unless a sharp constant is being determined. GNS inequalities naturally occur in error estimates for numerical approximations. In particular, bounds on GNS constants allow us to provide explicit a priori estimates. We provide an algorithm that determines explicit upper bounds on the non-endpoint homogeneous GNS inequalities in terms of explicit upper bounds for Young’s convolution inequality and parabolic estimates. Our method is based on the heat-kernel representation of the inverse Laplacian, from which we deduce interpolation estimates.

International Journal of MathematicsVol. 37(02)
Mathematical Sciences Research Institute (US)
Openalex Percentile: Top 50%
Nonlinear Partial Differential Equations
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