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Algorithmic Construction of Hyperfunction Solutions to Invariant Differential Equations on the Space of Real Symmetric Matrices

机译:实对称矩阵空间上不变微分方程超函数解的算法构造

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This is the second paper on invariant hyperfunction solutions of invariant linear differential equations on the vector space of n x n real symmetric matrices. In a preceding paper [J. Funct. Anal. 193 (2002) 346--384], we proved that every invariant hyperfunction solution is expressed as a linear combination of Laurent expansion coefficients of the complex power of the determinant function with respect to the parameter. Fundamental properties of the complex power have been investigated by the author in the paper "Singular invariant hyperfunctions on the space of real symmetric matrices" [Tohoku Math. J. 51 (1999) 329--364].In this paper, we give algorithms to determine the space of invariant hyperfunction solutions and apply the algorithms to some examples. These algorithms enable us to compute in a fully constructive way all the invariant hyperfunction solutions for all the invariant differential operators in terms of Laurent expansion coefficients of the complex power of the determinant function.
机译:这是第二篇关于n x n实对称矩阵的向量空间上不变线性微分方程的不变超函数解的论文。在先前的论文中[J.功能肛门193(2002)346--384],我们证明了每个不变的超函数解都表示为行列式函数的复数幂相对于参数的Laurent展开系数的线性组合。作者在“实对称矩阵空间上的奇异不变超函数”一文中研究了复数幂的基本性质。 J. 51(1999)329--364]。在本文中,我们给出了确定不变超函数解的空间的算法,并将该算法应用于一些示例。这些算法使我们能够以完全构造的方式,根据行列式函数的复数幂的Laurent展开系数,为所有不变微分算子计算所有不变超函数解。

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