The MDS probability convergence conjecture
The MDS probability convergence conjecture
Let be a linear code chosen uniformly at random over a field , where . The property MDS means that the minimum distance of is .
MDS probability convergence conjecture. If
then
The source notes that this extends the known asymptotic result beyond the regime , and leaves the assertion open while providing numerical evidence for the case .
Sources & referencesView supporting material
Primary source
Rathinakumar Appuswamy, Marco Bazzani, Spencer Congero, Joseph Connelly, Matthew Ekaireb and Kenneth Zeger, “Probability of super-regular matrices and MDS codes over finite fields”, arXiv:2603.20983 (2026).
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