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April 4, 2026Journal of Fourier Analysis and Applications0 citationsOpen Access

Frame Decomposition of Mixed-Smoothness Besov and Triebel-Lizorkin Spaces on Product Metric Spaces Associated to Operators

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GCG. CleanthousAGA. G. GeorgiadisGKG. Kyriazis

Key Points

  • The main aim is to create a discrete frame decomposition for Besov and Triebel-Lizorkin spaces on product metric spaces related to specific operators.
  • Developed a frame decomposition for the Besov and Triebel-Lizorkin spaces on product spaces.
  • Established sub-exponential spatial localization for frames.
  • Investigated self-adjoint operators with Gaussian heat kernels.
  • Identified lower bounds for the L^p norms of kernels associated with the operators.
  • Showed advancements in the theory of product spaces beyond frame decomposition.

Abstract

Abstract The purpose of this study is to develop a discrete frame decomposition of the Besov and Triebel-Lizorkin spaces on the product X₁ X₂ X 1 × X 2 of doubling metric measure spaces X₁ X 1, X₂ X 2 associated with non-negative self-adjoint operators L₁ L 1, L₂ L 2, whose heat kernels have Gaussian localization. To achieve this, we first establish a pair of frames with sub-exponential spatial localization and compact spectral support. Some advances of independent interest in the theory related to product spaces, including the lower bounds of the Lᵖ L p norms of kernels, of cut-off functions are also obtained.

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Cite This Study

Cleanthous et al. (2026) studied this question.

synapsesocial.com/papers/69d0ae94659487ece0fa489ahttps://doi.org/10.1007/s00041-026-10243-5
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