AI & ML
A Matroidal Framework for Random Access in Linear Codes
arXiv math.IT0 views
arXiv:2610.28820v1 Announce Type: new Abstract: We study random access in linear codes when codeword symbols are sampled independently and uniformly with replacement. A code is recovery balanced if the expected number of samples required to recover a codeword coordinate is the same for every coordinate. We express the recovery expectations in terms of the associated matroid and derive a coordinatewise identity relating these values for a code and its dual. This proves that a linear code is recovery balanced if and only if its dual is recovery balanced, establishing a conjecture of Gruica et al. We further define the recovery balance for arbitrary matroids and show that asymptotically almost every sparse paving matroid is not recovery balanced.
Source:https://arxiv.org/abs/2610.28820PreviousTrustmeWatcher: An Application for Workplace Micro-Sensing and Explainable Well-Being FeedbackNextUniversality of approximate message passing under a fourth-moment tail condition
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