Lvov–Kaplansky conjecture on multilinear polynomial images of matrix algebras
Lvov–Kaplansky conjecture on multilinear polynomial images of matrix algebras
Let be an integer, let be a field, and let be the free associative algebra over on a countable set of noncommutative variables. A multilinear polynomial is an element of this free algebra that is multilinear in its variables. Lvov–Kaplansky conjecture. If is a multilinear polynomial, then the set of values of on the matrix algebra is a vector space. The conjecture is a foundational problem about images of polynomial maps on matrix algebras; the source presents it as an old and famous conjecture, without giving a resolution status.
Sources & referencesView supporting material
Primary source
Yingyu Luo and Qian Chen, “Images of linear polynomials on upper triangular matrix algebras”, arXiv:2304.01591 (2023).
Additional references
6 papers in this index state this conjecture (2010–2023). The statement above is taken from the most recent of them; the others are arXiv:2210.05653, arXiv:1910.05469, arXiv:1807.09136, arXiv:1807.09421, arXiv:1005.0191.
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