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symmetric matrix

对称矩阵

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How To Study As A Mathematics Major 封面

《How To Study As A Mathematics Major》 · 第 7 页 · Section 0.2.5「Special types of square matrices」,定义段

A matrix $A\in M_n(F)$ is said to be symmetric if $A^T=A$, skew symmetric if $A^T=-A$, and orthogonal if $A^TA=I$; $A\in M_n(\mathbb C)$ is said to be Hermitian if $A^*=A$, skew Hermitian if $A^*=-A$, essentially Hermitian if $e^{i\theta}A$ is Hermitian for some $\theta\in\mathbb R$, unitary if $A^*A=I$, and normal if $A^*A=AA^*$.

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