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| Main Author: | |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.10228 |
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| _version_ | 1866917923172384768 |
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| author | Riccardi, Federico |
| author_facet | Riccardi, Federico |
| contents | In this paper we prove an optimal estimate for the norm of wavelet localization operators with Cauchy wavelet and weight functions that satisfy two constraints on different Lebesgue norms. We prove that multiple regimes arise according to the ratio of these norms: if this ratio belongs to a fixed interval (which depends on the Lebesgue exponents) then both constraints are active, while outside this interval one of the constraint is inactive. Furthermore, we characterize optimal weight functions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_10228 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | An optimal estimate for the norm of wavelet localization operators Riccardi, Federico Functional Analysis In this paper we prove an optimal estimate for the norm of wavelet localization operators with Cauchy wavelet and weight functions that satisfy two constraints on different Lebesgue norms. We prove that multiple regimes arise according to the ratio of these norms: if this ratio belongs to a fixed interval (which depends on the Lebesgue exponents) then both constraints are active, while outside this interval one of the constraint is inactive. Furthermore, we characterize optimal weight functions. |
| title | An optimal estimate for the norm of wavelet localization operators |
| topic | Functional Analysis |
| url | https://arxiv.org/abs/2502.10228 |