Rota's basis conjecture holds for random bases of vector spaces
Lisa Sauermann

TL;DR
This paper proves that Rota's basis conjecture is almost surely true for large random bases of vector spaces over finite fields and subsets of finite sets, confirming the conjecture in a probabilistic setting.
Contribution
It demonstrates that Rota's basis conjecture holds with high probability for large random bases over finite fields and finite subsets, extending the understanding of the conjecture's validity.
Findings
Rota's basis conjecture holds with probability approaching 1 as dimension increases for random bases over finite fields.
The conjecture is also valid with high probability for bases chosen uniformly from subsets of finite sets.
Results apply to both finite fields and finite subsets, broadening the conjecture's probabilistic validation.
Abstract
In 1989, Rota conjectured that, given bases of the vector space over some field , one can always decompose the multi-set into transversal bases. This conjecture remains wide open despite of a lot of attention. In this paper, we consider the setting of random bases . More specifically, our first result shows that Rota's basis conjecture holds with probability as if the bases are chosen independently uniformly at random among all bases of for some finite field (the analogous result is trivially true for an infinite field ). In other words, the conjecture is true for almost all choices of bases . Our second, more general, result concerns random bases for…
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Taxonomy
TopicsCoding theory and cryptography · Mathematical Approximation and Integration · Limits and Structures in Graph Theory
