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Linear Independence of Random Boolean Tensor Powers at the Dimension Threshold

Kyle Luh

Source record

Source: arXiv

Published: Sep 20, 2026

arXiv: 2609.23858

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Source abstract

Let d1d \geq 1 be fixed and let D(n,d):=j=0d(n1j). D(n,d) := \sum_{j=0}^{d} \binom{n-1}{j}. We show that if x(1),,x(m)x^{(1)}, \dots, x^{(m)} are independent uniform points of {±1}n\{\pm 1\}^n then uniformly for mD(n,d)m \leq D(n,d), there exists a constant Cd>0C_d > 0 such that P((x(1))d,,(x(m))d are linearly independent)=1Od(logCdnn1/2). \mathbb{P}((x^{(1)})^{\otimes d}, \dots, (x^{(m)})^{\otimes d} \text{ are linearly independent}) = 1 - O_d\left(\frac{\log^{C_d} n}{n^{1/2}} \right). This achieves the exact dimensional threshold and answers a question asked by Baldi and Vershynin.

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