On the Structure of Bad Science Matrices

Fuente: arXiv
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Auteurs principaux: Albors, Alex, Bhatti, Hisham, Ganjoo, Lukshya, Guo, Raymond, Kunisky, Dmitriy, Mukherjee, Rohan, Stepin, Alicia, Zeng, Tony
Format: Preprint
Publié: 2024
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author Albors, Alex
Bhatti, Hisham
Ganjoo, Lukshya
Guo, Raymond
Kunisky, Dmitriy
Mukherjee, Rohan
Stepin, Alicia
Zeng, Tony
author_facet Albors, Alex
Bhatti, Hisham
Ganjoo, Lukshya
Guo, Raymond
Kunisky, Dmitriy
Mukherjee, Rohan
Stepin, Alicia
Zeng, Tony
contents The bad science matrix problem consists in finding, among all matrices $A \in \mathbb{R}^{n \times n}$ with rows having unit $\ell^2$ norm, one that maximizes $β(A) = \frac{1}{2^n} \sum_{x \in \{-1, 1\}^n} \|Ax\|_\infty$. Our main contribution is an explicit construction of an $n \times n$ matrix $A$ showing that $β(A) \geq \sqrt{\log_2(n+1)}$, which is only 18% smaller than the asymptotic rate. We prove that every entry of any optimal matrix is a square root of a rational number, and we find provably optimal matrices for $n \leq 4$.
format Preprint
id arxiv_https___arxiv_org_abs_2408_00933
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On the Structure of Bad Science Matrices
Albors, Alex
Bhatti, Hisham
Ganjoo, Lukshya
Guo, Raymond
Kunisky, Dmitriy
Mukherjee, Rohan
Stepin, Alicia
Zeng, Tony
Functional Analysis
Discrete Mathematics
Combinatorics
The bad science matrix problem consists in finding, among all matrices $A \in \mathbb{R}^{n \times n}$ with rows having unit $\ell^2$ norm, one that maximizes $β(A) = \frac{1}{2^n} \sum_{x \in \{-1, 1\}^n} \|Ax\|_\infty$. Our main contribution is an explicit construction of an $n \times n$ matrix $A$ showing that $β(A) \geq \sqrt{\log_2(n+1)}$, which is only 18% smaller than the asymptotic rate. We prove that every entry of any optimal matrix is a square root of a rational number, and we find provably optimal matrices for $n \leq 4$.
title On the Structure of Bad Science Matrices
topic Functional Analysis
Discrete Mathematics
Combinatorics
url https://arxiv.org/abs/2408.00933