线性代数 — 矩阵的初等变换与线性方程组
一、矩阵的初等变换
1. 初等行变换(三种)
- 交换两行:$r_i \leftrightarrow r_j$
- 某行乘以非零常数:$r_i \times k$($k \neq 0$)
- 某行的 $k$ 倍加到另一行:$r_j + k r_i$
二、矩阵的秩
矩阵 $A$ 中不等于 $0$ 的子式的最高阶数称为矩阵的秩,记作 $r(A)$ 或 $\text{rank}(A)$。
标准形:初等变换可将任意 $m \times n$ 矩阵化为 $\begin{pmatrix} I_r & 0 \\ 0 & 0 \end{pmatrix}$文章源自公式库网-https://www.gongshiku.com/html/201908/xianxingdaishuzhijuzhendechudengbianhuanyuxianxingfangchengzugongshihuiji.html
三、线性方程组的解
$Ax = b$($A$ 为 $m \times n$ 矩阵):文章源自公式库网-https://www.gongshiku.com/html/201908/xianxingdaishuzhijuzhendechudengbianhuanyuxianxingfangchengzugongshihuiji.html
- $r(A) \lt r(A|b)$ → 无解
- $r(A) = r(A|b) = n$ → 唯一解
- $r(A) = r(A|b) \lt n$ → 无穷多解(自由变量个数 = $n - r$)
齐次方程组 $Ax = 0$
有非零解的充要条件:$r(A) \lt n$。文章源自公式库网-https://www.gongshiku.com/html/201908/xianxingdaishuzhijuzhendechudengbianhuanyuxianxingfangchengzugongshihuiji.html
四、克莱姆法则(Cramer's Rule)
若 $A$ 为 $n$ 阶方阵且 $|A| \neq 0$,则 $Ax = b$ 的解为:文章源自公式库网-https://www.gongshiku.com/html/201908/xianxingdaishuzhijuzhendechudengbianhuanyuxianxingfangchengzugongshihuiji.html
$x_i = \dfrac{|A_i|}{|A|}$($A_i$ 为将 $A$ 第 $i$ 列换成 $b$ 所得矩阵)文章源自公式库网-https://www.gongshiku.com/html/201908/xianxingdaishuzhijuzhendechudengbianhuanyuxianxingfangchengzugongshihuiji.html 文章源自公式库网-https://www.gongshiku.com/html/201908/xianxingdaishuzhijuzhendechudengbianhuanyuxianxingfangchengzugongshihuiji.html文章源自公式库网-https://www.gongshiku.com/html/201908/xianxingdaishuzhijuzhendechudengbianhuanyuxianxingfangchengzugongshihuiji.html