L’vov–Kaplansky conjecture on images of multilinear polynomials over matrix algebras

Establish whether, for every field K and every integer n≥1, the image f(M_n(K)) of any multilinear noncommutative polynomial f(x_1,…,x_m) evaluated on the full matrix algebra M_n(K) is a vector subspace of M_n(K), thereby resolving the L’vov–Kaplansky conjecture.

Background

The paper discusses images of polynomials as a generalization of polynomial identities and highlights the L’vov–Kaplansky conjecture, which predicts that the image of any multilinear polynomial on M_n(K) is a vector subspace. The authors note that the conjecture has only been resolved in special cases (n=2 and m=2) and remains open in general.

Within the present work, the authors establish an analogue for two-dimensional Leibniz algebras by proving that the image of any multilinear polynomial evaluated on such algebras is always a vector space, providing supportive evidence and motivation for the broader open conjecture.

References

The L'vov--Kaplansky conjecture asserts that the image of any multilinear polynomial evaluated on the algebra of n × n matrices forms a vector subspace. This conjecture has remained open for a long time and appears in the well-known list [notebook246unsolved].