On the Stability of Linear Elliptic Equations with $$L^2$$-Drifts of Negative Divergence and Singular Zero-Order Terms

This paper first demonstrates the existence and uniqueness of solutions to homogeneous Dirichlet boundary value problems for second-order linear elliptic equations with $$L^2$$ -drifts of negative divergence and positive $$L^1$$ -zero-order terms, based on a functional analytic approach, including weak convergence methods and duality arguments. By improving the previous contraction properties, which may not be effective when the zero-order term is very small, this paper introduces a general $$L^2$$ -“contraction” property for any positive zero-order term, leading to remarkable results regarding $$L^2$$ -stability. These stability results are applicable to $$L^2$$ -error analysis for physics-informed neural networks, and can also be applied to stationary Schrödinger operators with $$L^2$$ -zero-order terms. We emphasize that all the constants arising in the estimates of this paper can be explicitly computed.

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Publication Details

Journal
Functional Analysis and Its Applications
Published
2025-12-01
DOI
https://doi.org/10.1134/s1234567825040032
Primary Topic
Model Reduction and Neural Networks
Type
article
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article

On the Stability of Linear Elliptic Equations with $$L^2$$-Drifts of Negative Divergence and Singular Zero-Order Terms

Haesung Lee
Functional Analysis and Its Applications
Model Reduction and Neural Networks
article

On the Stability of Linear Elliptic Equations with $$L^2$$-Drifts of Negative Divergence and Singular Zero-Order Terms

Haesung Lee
article en

Abstract

This paper first demonstrates the existence and uniqueness of solutions to homogeneous Dirichlet boundary value problems for second-order linear elliptic equations with $$L^2$$ -drifts of negative divergence and positive $$L^1$$ -zero-order terms, based on a functional analytic approach, including weak convergence methods and duality arguments. By improving the previous contraction properties, which may not be effective when the zero-order term is very small, this paper introduces a general $$L^2$$ -“contraction” property for any positive zero-order term, leading to remarkable results regarding $$L^2$$ -stability. These stability results are applicable to $$L^2$$ -error analysis for physics-informed neural networks, and can also be applied to stationary Schrödinger operators with $$L^2$$ -zero-order terms. We emphasize that all the constants arising in the estimates of this paper can be explicitly computed.

Functional Analysis and Its ApplicationsVol. 59(4)
Kumoh National Institute of Technology (KR)
Openalex Percentile: Top 27%
Model Reduction and Neural Networks
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On the Stability of Linear Elliptic Equations with $L^2$-Drifts of Negative Divergence and Singular Zero-Order Terms — Haesung Lee · Functional Analysis and Its Applications (2025) | TGRS Research Map | TGRS