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$n$ 个特征值介于左上角矩阵的 $n-1$ 个特征值之间

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hbghlyj 发表于 2023-6-8 17:51 |阅读模式
Gilbert Strang - Introduction to Linear Algebra (2016)
6.4. Symmetric Matrices page 349
$$\text { The } n-1 \text { eigenvalues of } A \text { always fall between the } n \text { eigenvalues of}$$$$S=\begin{bmatrix}A & b \\b^{\mathrm{T}} & c\end{bmatrix} \text {. }$$ Control-V.png
如何证明这一点?书上只给出了2阶矩阵$S$的证明(使用特征多项式和连续性).

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Cauchy’s Interlace Theorem, 论坛上早写过了吧  发表于 2023-6-8 18:11
结合 http://kuing.infinityfreeapp.com/forum.php?mod=viewthread&tid=10056&highlight=%E4%BA%A4%E9%94%99 与 https://arxiv.org/pdf/math/0502408.pdf, 显然.  发表于 2023-6-8 18:15

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 楼主| hbghlyj 发表于 2023-6-8 18:17

搬运

Czhang271828 发表于 2023-6-8 11:15
Cauchy’s Interlace Theorem, 论坛上早写过了吧

结合 kuing.cjhb.site/forum.php?mod=viewthread&tid=10056&highlight=%E4%BA%A4%E9%94%99arxiv.org/pdf/math/0502408.pdf, 显然.

We use an overlooked characterization of interlacing to give a two sentence proof of Cauchy's interlace theorem\cite{hwang}. Recall that
if polynomials $f(x)$ and $g(x)$ have all real roots $r_1\le
r_2\le\dots\le r_n$ and $s_1\le s_2\le\dots\le s_{n-1}$ then we say that $f$ and $g$ interlace if and only if
$$ r_1 \le s_1 \le r_2 \le s_2 \cdots \le s_{n-1} \le r_n.$$
The following can be found in \cite{rahman}, along with a discussion of its history back to Hermite.

Theorem.
  The roots of polynomials $f,g$ interlace if and only if the linear combinations $f+\alpha g$ have all real roots for all $\alpha\in{{\mathbb R}}$.

Corollary.
  If $A$ is a Hermitian matrix, and $B$ is a principle submatrix of $A$, then the eigenvalues of $B$ interlace the eigenvalues of $A$.

Proof.
Choose $\alpha\in\mathbb R$,  partition $
A =\left(\begin{array}{c|c}
B & c \\\hline c^\ast & d
\end{array}\right)
$
and consider the following equation that follows from linearity of the determinant:
$$
\left|\begin{array}{c|c}
  B - xI  & c \\\hline c^\ast & d-x+\alpha
\end{array}\right|
=
\left|\begin{array}{c|c}
  B - xI  & c \\\hline c^\ast & d-x
\end{array}\right|
+
\left|\begin{array}{c|c}
  B - xI  & c \\\hline 0 & \alpha
\end{array}\right|
$$Since the matrix on the left hand side is the characteristic polynomial of a Hermitian matrix, $|A-xI| + \alpha|B-xI|$ has all real roots for any $\alpha$, and hence the eigenvalues interlace. $\square$

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