Asymptotically Pseudo-Independent Matrices
Ilya Soloveychik, Vahid Tarokh

TL;DR
This paper demonstrates that a specific family of pseudo-random matrices exhibits asymptotic independence, with different sequences generated from distinct primitive polynomials becoming independent as size increases.
Contribution
It establishes the asymptotic independence property for a family of pseudo-random matrices previously introduced by Soloveychik, Xiang, and Tarokh.
Findings
Different matrix sequences become asymptotically independent
Asymptotic independence holds for matrices from different primitive polynomials
Supports the pseudo-random matrices' utility in applications requiring independence
Abstract
We show that the family of pseudo-random matrices recently discovered by Soloveychik, Xiang, and Tarokh in their work `Symmetric Pseudo-Random Matrices' exhibits asymptotic independence. More specifically, any two sequences of matrices of matching sizes from that construction generated using sequences of different non-reciprocal primitive polynomials are asymptotically independent.
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Taxonomy
TopicsRandom Matrices and Applications · Advanced Combinatorial Mathematics · Mathematical Dynamics and Fractals
