Probability of super-regular matrices and MDS codes over finite fields
Rathinakumar Appuswamy, Marco Bazzani, Spencer Congero, Joseph Connelly, Matthew Ekaireb, Kenneth Zeger

TL;DR
This paper investigates the asymptotic probabilities of random matrices over finite fields being super-regular and of random codes being MDS, establishing threshold behaviors and polynomial counts for small matrix sizes.
Contribution
It proves threshold phenomena for super-regular matrices and MDS codes, and demonstrates polynomial counts for small super-regular matrices, extending known results.
Findings
Probability of MDS codes approaches 1 or 0 depending on the growth rate of rac{1}{q}inom{n}{k}
Probability of a random matrix being super-regular approaches 1 or 0 depending on rac{4^k/\u221a{k}}{q}
Number of super-regular 3x3 matrices is polynomial in q
Abstract
Let be an linear code chosen uniformly at random over a finite field of size . The following asymptotic probability of being maximum distance separable (MDS) as is known: If , then . We demonstrate that this growth rate is in fact a threshold by proving: If , then . A matrix is () if all of its (contiguous) square submatrices are nonsingular. The above results imply that for any matrix chosen uniformly at random over , the following hold: If , then . If , then . We also obtain the following asymptotic…
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