A New Proof of the Abstract Random Tensor Estimate by Deng, Nahmod, and Yue
Fuente:
arXiv
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| Formato: | Preprint |
| Publicado: |
2025
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| _version_ | 1866909941129805824 |
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| author | Kaneshiro, Claire |
| author_facet | Kaneshiro, Claire |
| contents | We provide a new proof of the abstract random tensor estimate. This estimate was initially proven by Deng, Nahmod, and Yue (2022) using the moment method. The key new tool in our proof is the direct use of the non-commutative Khintchine inequality with the probabilistic decoupling of the product of Gaussians. Hermite and generalized Laguerre-type polynomials allow us to account for pairings in the real and complex-valued Gaussians, respectively, and remove the square-free (tetrahedral) requirement. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_02250 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A New Proof of the Abstract Random Tensor Estimate by Deng, Nahmod, and Yue Kaneshiro, Claire Probability Analysis of PDEs 60B20, 15B52, 33C45, 35Q55 We provide a new proof of the abstract random tensor estimate. This estimate was initially proven by Deng, Nahmod, and Yue (2022) using the moment method. The key new tool in our proof is the direct use of the non-commutative Khintchine inequality with the probabilistic decoupling of the product of Gaussians. Hermite and generalized Laguerre-type polynomials allow us to account for pairings in the real and complex-valued Gaussians, respectively, and remove the square-free (tetrahedral) requirement. |
| title | A New Proof of the Abstract Random Tensor Estimate by Deng, Nahmod, and Yue |
| topic | Probability Analysis of PDEs 60B20, 15B52, 33C45, 35Q55 |
| url | https://arxiv.org/abs/2512.02250 |