Trace regularization problem for a fourth‐order differential operator on separable Banach space

In this study, we employ new results on the semi‐inner product, the adjoint operator, and the Schatten class of operators on a separable Banach space, which allow us to investigate a differential operator with unbounded operator‐valued coefficients. Specifically, we derive an asymptotic formula for the second regularized trace based on the asymptotic and spectral properties of the extended operator. For this purpose, we use the theory of continuous dense embeddings and known results regarding the regularized trace in Hilbert space. We conclude our paper by providing examples that support our findings.

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Publication Details

Journal
Mathematical Methods in the Applied Sciences
Published
2024-10-25
DOI
https://doi.org/10.1002/mma.10564
Primary Topic
Numerical methods in inverse problems
Type
article
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article

Trace regularization problem for a fourth‐order differential operator on separable Banach space

Özlem Bakşi, Seda Kızılbudak Çalışkan, Yonca Sezer
Mathematical Methods in the Applied Sciences
Numerical methods in inverse problems
article

Trace regularization problem for a fourth‐order differential operator on separable Banach space

Özlem Bakşi, Seda Kızılbudak Çalışkan, Yonca Sezer
article en

Abstract

In this study, we employ new results on the semi‐inner product, the adjoint operator, and the Schatten class of operators on a separable Banach space, which allow us to investigate a differential operator with unbounded operator‐valued coefficients. Specifically, we derive an asymptotic formula for the second regularized trace based on the asymptotic and spectral properties of the extended operator. For this purpose, we use the theory of continuous dense embeddings and known results regarding the regularized trace in Hilbert space. We conclude our paper by providing examples that support our findings.

Mathematical Methods in the Applied SciencesVol. 48(4)
Yıldız Technical University (TR)
Openalex Percentile: Top 69%
Numerical methods in inverse problems
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