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Research PaperResearchia:202605.07003

Almost-Orthogonality in Lp Spaces: A Case Study with Grok

Ziang Chen

Abstract

Carbery proposed the following sharpened form of triangle inequality for many functions: for any $p\ge 2$ and any finite sequence $(f_j)_j\subset L^p$ we have \[ \Big\|\sum_j f_j\Big\|_p \ \le\ \left(\sup_{j} \sum_{k} Ξ±_{jk}^{\,c}\right)^{1/p'} \Big(\sum_j \|f_j\|_p^p\Big)^{1/p}, \] where $c=2$, $1/p+1/p'=1$, and $Ξ±_{jk}=\sqrt{\frac{\|f_{j}f_{k}\|_{p/2}}{\|f_{j}\|_{p}\|f_{k}\|_{p}}}$. In the first part of this paper we construct a counterexample showing that this inequality fails for every $p>2$...

Submitted: May 7, 2026Subjects: AI; Artificial Intelligence

Description / Details

Carbery proposed the following sharpened form of triangle inequality for many functions: for any pβ‰₯2p\ge 2 and any finite sequence (fj)jβŠ‚Lp(f_j)_j\subset L^p we have [ \Big|\sum_j f_j\Big|p \ \le\ \left(\sup{j} \sum_{k} Ξ±_{jk}^{,c}\right)^{1/p'} \Big(\sum_j |f_j|p^p\Big)^{1/p}, ] where c=2c=2, 1/p+1/pβ€²=11/p+1/p'=1, and Ξ±jk=βˆ₯fjfkβˆ₯p/2βˆ₯fjβˆ₯pβˆ₯fkβˆ₯pΞ±_{jk}=\sqrt{\frac{\|f_{j}f_{k}\|_{p/2}}{\|f_{j}\|_{p}\|f_{k}\|_{p}}}. In the first part of this paper we construct a counterexample showing that this inequality fails for every p>2p>2. We then prove that if an estimate of the above form holds, the exponent must satisfy c≀pβ€²c\le p'. Finally, at the critical exponent c=pβ€²c=p', we establish the inequality for all integer values pβ‰₯2p\ge 2. In the second part of the paper we obtain a sharp three-function bound [ \Big|\sum{j=1}^{3} f_j\Big|p \ \le\ \left(1+2Ξ“^{c(p)}\right)^{1/p'} \Big(\sum{j=1}^{3} |f_j|_p^p\Big)^{1/p}, ] where pβ‰₯3p \geq 3, c(p)=2ln⁑(2)(pβˆ’2)ln⁑(3)+2ln⁑(2)c(p) = \frac{2\ln(2)}{(p-2)\ln(3)+2\ln(2)} and Ξ“=Ξ“(f1,f2,f3)∈[0,1]Ξ“=Ξ“(f_1,f_2,f_3)\in[0,1] quantifies the degree of orthogonality among f1,f2,f3f_1,f_2,f_3. The exponent c(p)c(p) is optimal, and improves upon the power r(p)=65pβˆ’4r(p) = \frac{6}{5p-4} obtained previously by Carlen, Frank, and Lieb. Some intermediate lemmas and inequalities appearing in this work were explored with the assistance of the large language model Grok.


Source: arXiv:2605.05192v1 - http://arxiv.org/abs/2605.05192v1 PDF: https://arxiv.org/pdf/2605.05192v1 Original Link: http://arxiv.org/abs/2605.05192v1

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Date:
May 7, 2026
Topic:
Artificial Intelligence
Area:
AI
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