A Helmholtz-type decomposition for the space of symmetric matrices

A Helmholtz-type decomposition for the space of symmetric matrices
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对称矩阵空间的亥姆霍兹型分解

DOI:
10.1090/btran/167
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发表时间:
2021
期刊:
Transactions of the American Mathematical Society. Series B
影响因子:
--
通讯作者:
E. Sawyer
E. Sawyer
中科院分区:
--
文献类型:
--
作者:
E. Miller;E. Sawyer

文献摘要

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在本文中,我们引入了平方可积对称矩阵值函数空间的亥姆霍兹型分解,类似于矢量场的标准亥姆霍兹分解。这种分解可以更好地理解应变约束空间,这对于纳维-斯托克斯正则问题很重要。特别是,我们给出了应变约束空间的正交补的完整表征,并研究了应变约束空间中矩阵特征值分布的几何形状。
In this paper, we introduce a Helmholtz-type decomposition for the space of square integrable, symmetric-matrix-valued functions analogous to the standard Helmholtz decomposition for vector fields. This decomposition provides a better understanding of the strain constraint space, which is important to the Navier–Stokes regularity problem. In particular, we give a full characterization the orthogonal complement of the strain constraint space and investigate the geometry of the eigenvalue distribution of matrices in the strain constraint space.