Building on the theory of causal discovery from observational data, we study interactions between multiple (sets of) random variables in a linear structural equation model with non-Gaussian error terms. We give correspondence structure higher-order cumulants and combinatorial graph. It has previously been shown that low rank covariance matrix corresponds to trek separation Generalizing this cri...

Cyclic subspace codes gained a lot of attention especially because they may be used in random network coding for correction errors and erasures. Roth, Raviv Tamo 2018 established connection between cyclic (with certain parameters) Sidon spaces. These latter objects were introduced by Bachoc, Serra Zémor 2017 relation with the linear analogue Vosper's Theorem. This allowed to construct large cla...