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Matrix Isomorphism of Matrix Lie Algebras

机译:矩阵李代数的矩阵同构

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We study the problem of matrix isomorphism of matrix Lie algebras (MatIsoLie). Lie algebras arise centrally in areas as diverse as differential equations, particle physics, group theory, and the Mulmuley -- Sohoni Geometric Complexity Theory program. A matrix Lie algebra is a set L of matrices that is closed under linear combinations and the operation [A, B] = AB - BA. Two matrix Lie algebras L, L' are matrix isomorphic if there is an invertible matrix M such that conjugating every matrix in L by M yields the set L'. We show that certain cases of MatIsoLie -- for the wide and widely studied classes of semi simple and abelian Lie algebras -- are equivalent to graph isomorphism and linear code equivalence, respectively. On the other hand, we give polynomial-time algorithms for other cases of MatIsoLie, which allow us to mostly derandomize a recent result of Kayal on affine equivalence of polynomials.
机译:我们研究矩阵李代数(MatIsoLie)的矩阵同构问题。李代数集中出现在微分方程,粒子物理学,群论和Mulmuley-Sohoni几何复杂性理论程序等领域。矩阵李代数是一组矩阵L,这些矩阵在线性组合下且操作[A,B] = AB-BA是闭合的。如果存在可逆矩阵M,则两个矩阵李代数L,L'是同构的矩阵,从而将L中的每个矩阵与M共轭即可得到集合L'。我们证明了MatIsoLie的某些情况-对于半简单和Abelian Lie代数的广泛且广泛研究的类别-分别等效于图同构和线性代码等效。另一方面,对于MatIsoLie的其他情况,我们给出了多项式时间算法,这使我们能够对Kayal多项式的仿射等价性的最新结果进行非随机化。

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