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高等代数教学辅导

7.7 \(\lambda\)-矩阵的相抵标准型

建设中!

练习 练习

基础题.

1.
用初等变换的方法求下列矩阵的法式。
(1)\(\begin{pmatrix} 1-\lambda&\lambda^2&\lambda\\ \lambda&\lambda&-\lambda\\ 1+\lambda^2&\lambda^2&-\lambda^2 \end{pmatrix}\); (2)\(\begin{pmatrix} 0&0&0&\lambda^2\\ 0&0&\lambda^2-\lambda&0\\ 0&(\lambda-1)^2&0&0\\ \lambda^2-\lambda&0&0&0 \end{pmatrix}\)
解答.
(1)
\begin{equation*} \begin{array}{lcl} A(\lambda) & \xrightarrow{E(1,2(1))} & \begin{pmatrix} 1&\lambda^2+\lambda&0\\ \lambda&\lambda&-\lambda\\ 1+\lambda^2&\lambda^2&-\lambda^2 \end{pmatrix}\\ & \xrightarrow[E(1,2(-\lambda^2- \lambda))]{ } & \begin{pmatrix} 1&0&0\\ \lambda&-\lambda^3- \lambda^2+\lambda&-\lambda\\ 1+\lambda^2&-\lambda^4- \lambda^3- \lambda&-\lambda^2 \end{pmatrix}\\ & \xrightarrow{{\begin{array}{c} E(2,1(-\lambda))\\E(3,1(- \lambda^2-1)) \end{array}}} & \begin{pmatrix} 1&0&0\\ 0&-\lambda^3- \lambda^2+\lambda&-\lambda\\ 0&-\lambda^4- \lambda^3- \lambda&-\lambda^2 \end{pmatrix}\\ & \xrightarrow[E(2,3)]{} & \begin{pmatrix} 1&0&0\\ 0&-\lambda&-\lambda^3- \lambda^2+\lambda\\ 0&-\lambda^2&-\lambda^4- \lambda^3- \lambda \end{pmatrix}\\ & \xrightarrow{E(3,2(- \lambda))} & \begin{pmatrix} 1&0&0\\ 0&-\lambda&-\lambda^3- \lambda^2+\lambda\\ 0&0&-\lambda^2- \lambda \end{pmatrix}\\ & \xrightarrow[E(2,3(- \lambda^2- \lambda+1))]{}& \begin{pmatrix} 1&0&0\\ 0&-\lambda&0\\ 0&0&-\lambda^2- \lambda \end{pmatrix}\\ & \xrightarrow{E(2(-1)),E(3(-1))} & \begin{pmatrix} 1&0&0\\ 0&\lambda&0\\ 0&0&\lambda^2+\lambda \end{pmatrix} \end{array} \end{equation*}
(2)
\begin{equation*} \begin{array}{ccl}A(\lambda) & \xrightarrow[{\begin{array}{c} E(1,4)\\E(2,3) \end{array}}]{}&\begin{pmatrix} \lambda^2&0&0&0\\ 0&\lambda^2-\lambda&0&0\\ 0&0&(\lambda-1)^2&0\\ 0&0&0&\lambda^2-\lambda \end{pmatrix}\\ &\xrightarrow{E(1,2(1)) }&\begin{pmatrix} \lambda^2&\lambda^2-\lambda&0&0\\ 0&\lambda^2-\lambda&0&0\\ 0&0&(\lambda-1)^2&0\\ 0&0&0&\lambda^2-\lambda \end{pmatrix}\\ &\xrightarrow[E(1,2(-1))]{}&\begin{pmatrix} \lambda^2&-\lambda&0&0\\ 0&\lambda^2-\lambda&0&0\\ 0&0&(\lambda-1)^2&0\\ 0&0&0&\lambda^2-\lambda \end{pmatrix}\\ & \xrightarrow[E(1,2)]{}&\begin{pmatrix} -\lambda&\lambda^2&0&0\\ \lambda^2-\lambda&0&0&0\\ 0&0&(\lambda-1)^2&0\\ 0&0&0&\lambda^2-\lambda \end{pmatrix}\\ & \xrightarrow{E(1,3(1))}&\begin{pmatrix} -\lambda&\lambda^2&(\lambda-1)^2&0\\ \lambda^2-\lambda&0&0&0\\ 0&0&(\lambda-1)^2&0\\ 0&0&0&\lambda^2-\lambda \end{pmatrix}\\ & \xrightarrow[E(3,1(\lambda-2))]{}&\begin{pmatrix} -\lambda&\lambda^2&1&0\\ \lambda^2-\lambda&0&(\lambda^2- \lambda)(\lambda-2)&0\\ 0&0&(\lambda-1)^2&0\\ 0&0&0&\lambda^2-\lambda \end{pmatrix}\\ & \xrightarrow[E(1,3)]{}&\begin{pmatrix} 1&\lambda^2&-\lambda&0\\ (\lambda^2- \lambda)(\lambda-2)&0&\lambda^2-\lambda&0\\ (\lambda-1)^2& 0&0&0\\ 0&0&0&\lambda^2-\lambda \end{pmatrix}\\ & \xrightarrow[{\begin{array}{c} E(1,2(-\lambda^2))\\E(1,3(\lambda)) \end{array}}]{{\begin{array}{c} E(2,1(-(\lambda^2- \lambda)(\lambda-2)))\\E(3,1(-(\lambda-1)^2)) \end{array}}}&\begin{pmatrix} 1&0&0&0\\ 0&-\lambda^3(\lambda- 1)(\lambda-2)&\lambda (\lambda-1)^3&0\\ 0& -\lambda^2(\lambda-1)^2&\lambda(\lambda-1)^2&0\\ 0&0&0&\lambda^2-\lambda \end{pmatrix}\\ & \xrightarrow[E(2,4)]{E(2,4)}&\begin{pmatrix} 1&0&0&0\\ 0&\lambda(\lambda- 1)&0&0\\ 0& 0&\lambda(\lambda-1)^2&-\lambda^2(\lambda-1)^2\\ 0&0&\lambda(\lambda-1)^3&-\lambda^3(\lambda-1)(\lambda-2) \end{pmatrix}\\ & \xrightarrow{E(4,3(1- \lambda))}&\begin{pmatrix} 1&0&0&0\\ 0&\lambda(\lambda- 1)&0&0\\ 0& 0&\lambda(\lambda-1)^2&-\lambda^2(\lambda-1)^2\\ 0&0&0&\lambda^2(\lambda-1) \end{pmatrix}\\ & \xrightarrow{E(3,4(1))}&\begin{pmatrix} 1&0&0&0\\ 0&\lambda(\lambda- 1)&0&0\\ 0& 0&\lambda(\lambda-1)^2&-\lambda^2(\lambda-1)(\lambda-2)\\ 0&0&0&\lambda^2(\lambda-1) \end{pmatrix}\\ &\xrightarrow[E(3,4(\lambda-1))]{}&\begin{pmatrix} 1&0&0&0\\ 0&\lambda(\lambda- 1)&0&0\\ 0& 0&\lambda(\lambda-1)^2&\lambda(\lambda-1)\\ 0&0&0&\lambda^2(\lambda-1) \end{pmatrix}\\ & \xrightarrow[E(3,4)]{}&\begin{pmatrix} 1&0&0&0\\ 0&\lambda(\lambda- 1)&0&0\\ 0& 0&\lambda(\lambda-1)&\lambda(\lambda-1)^2\\ 0&0&\lambda^2(\lambda-1) &0 \end{pmatrix}\\ & \xrightarrow[E(3,4(1- \lambda))]{E(4,3(-\lambda))}&\begin{pmatrix} 1&0&0&0\\ 0&\lambda(\lambda- 1)&0&0\\ 0& 0&\lambda(\lambda-1)&0\\ 0&0&0&-\lambda^2(\lambda-1)^2 \end{pmatrix}\\ & \xrightarrow{E(4(-1))}&\begin{pmatrix} 1&0&0&0\\ 0&\lambda(\lambda- 1)&0&0\\ 0& 0&\lambda(\lambda-1)&0\\ 0&0&0&\lambda^2(\lambda-1)^2 \end{pmatrix}. \end{array} \end{equation*}
2.
\(A\)的特征矩阵的法式,其中 (1)\(A=\begin{pmatrix} -1&0&1\\3&2&-2\\-5&1&4 \end{pmatrix}\),(2)\(A=\begin{pmatrix} 3&1&1\\0&4&0\\-1&1&5 \end{pmatrix}\)
解答.
(1)
\begin{equation*} \begin{array}{rcl} \lambda E-A & \xrightarrow[E(1,3)]{}& \begin{pmatrix} -1&0&\lambda+1\\2&\lambda-2&-3\\\lambda-4&-1& 5 \end{pmatrix}\\ & \xrightarrow[E(1,3(\lambda+1))]{{\begin{array}{c} E(2,1(2))\\E(3,1( \lambda -4)) \end{array}}}&\begin{pmatrix} -1&0&0\\0&\lambda-2&2 \lambda-1\\0&-1&\lambda^2-3 \lambda+1 \end{pmatrix}\\ & \xrightarrow{E(2,3)} & \begin{pmatrix} -1&0&0\\0&-1&\lambda^2-3 \lambda+1\\0&\lambda-2&2 \lambda-1 \end{pmatrix}\\ & \xrightarrow[E(2,3(\lambda^2-3 \lambda+1))]{{\begin{array}{c}E(3,2(\lambda-2))\\E(1(-1))\\E(2(-1))\end{array}}}&\begin{pmatrix} 1&0&0\\0&1&0\\0&0&\lambda^3-5 \lambda^2+9 \lambda-3 \end{pmatrix}, \end{array} \end{equation*}
所以\(A\)的特征矩阵的法式为\(\begin{pmatrix} 1&0&0\\0&1&0\\0&0&\lambda^3-5 \lambda^2+9 \lambda-3 \end{pmatrix}\)
(2)
\begin{equation*} \begin{array}{rcl} \lambda E-A & \xrightarrow[E(1,3)]{} & \begin{pmatrix} -1&-1&\lambda-3\\0&\lambda-4&0\\\lambda-5&-1&1 \end{pmatrix}\\ & \xrightarrow[{\begin{array}{c} E(1,2(-1))\\E(1,3( \lambda -3)) \end{array}}]{E(3,1(\lambda-5))}&\begin{pmatrix} -1&0&0\\0&\lambda-4&0\\0&4-\lambda&(\lambda-4)^2 \end{pmatrix}\\ & \xrightarrow{E(3,2(1))} & \begin{pmatrix} -1&0&0\\0&\lambda-4&0\\0&0&(\lambda-4)^2 \end{pmatrix}\\ & \xrightarrow{E(1(-1))}&\begin{pmatrix} 1&0&0\\0&\lambda-4&0\\0&0&(\lambda-4)^2 \end{pmatrix}, \end{array} \end{equation*}
所以\(A\)的特征矩阵的法式为\(\begin{pmatrix} 1&0&0\\0&\lambda-4&0\\0&0&(\lambda-4)^2 \end{pmatrix}\)
3.
\(n\)阶矩阵\(A\)的特征矩阵的法式为
\begin{equation*} {\rm diag}(1,\dots ,1,d_1(\lambda),d_2(\lambda),\dots ,d_k(\lambda)), \end{equation*}
证明:\(A\)的特征多项式
\begin{equation*} \chi_A(\lambda)=d_1(\lambda)d_2(\lambda)\cdots d_k(\lambda). \end{equation*}
解答.
由于\(A\)的特征矩阵的法式为 \({\rm diag} (1,\dots ,1,d_1(\lambda),d_2(\lambda),\dots ,d_k(\lambda))\),所以存在可逆\(\lambda\)-矩阵\(P(\lambda)\)\(Q(\lambda)\),使得
\begin{equation*} \lambda E_n-A=P(\lambda){\rm diag} (1,\dots ,1,d_1(\lambda),d_2(\lambda),\dots ,d_k(\lambda))Q(\lambda), \end{equation*}
\begin{equation*} \det (\lambda E_n-A)=\det P(\lambda)\det Q(\lambda)d_1(\lambda)d_2(\lambda)\cdots d_k(\lambda), \end{equation*}
其中\(\det P(\lambda)\)\(\det Q(\lambda)\)为非零常数,即
\begin{equation*} \chi_A(\lambda)=cd_1(\lambda)d_2(\lambda)\cdots d_k(\lambda),c\in\mathbb{F}. \end{equation*}
注意到\(\chi_A(\lambda), d_1(\lambda),\dots ,d_k(\lambda)\)均为首一多项式,故\(c=1\),从而
\begin{equation*} \chi_A(\lambda)=d_1(\lambda)d_2(\lambda)\cdots d_k(\lambda). \end{equation*}
4.
求下列矩阵的行列式因子与不变因子: (1)\(\begin{pmatrix} \lambda &1&0&0\\ 0&\lambda&1&0\\ 0&0&\lambda&1\\ 0&4&3&\lambda+2 \end{pmatrix}\); (2) \(\begin{pmatrix} 1&2&0\\0&2&0\\-2&-2&1 \end{pmatrix}\);(3)\(\begin{pmatrix} 3&2&-5\\2&6&-10\\1&2&-3 \end{pmatrix}\)
解答.
  1. 因为\(A(\lambda)\)存在\(3\)阶子式 \(\begin{vmatrix} 1&0&0\\ \lambda&1&0\\ 0&\lambda&1 \end{vmatrix}=1\),所以\(D_3(\lambda)=1\)。由\(D_k(\lambda)\mid D_{k+1}(\lambda)\)知:\(D_1(\lambda)=D_2(\lambda)=D_3(\lambda) =1\)。又
    \begin{equation*} D_4(\lambda)=\det \left(A(\lambda)\right)= \lambda^4+2 \lambda^3-3 \lambda^2+4 \lambda, \end{equation*}
    \(A(\lambda)\)的行列式因子为
    \begin{equation*} D_1(\lambda)=D_2(\lambda)=D_3(\lambda) =1,D_4(\lambda) = \lambda^4+2 \lambda^3-3 \lambda^2+4 \lambda. \end{equation*}
    相应地,\(A(\lambda)\)的不变因子为
    \begin{equation*} g_1(\lambda)=D_1(\lambda)=1,g_2(\lambda)=\frac{D_2(\lambda)}{D_1(\lambda)}=1,g_3(\lambda)=\frac{D_3(\lambda)}{D_2(\lambda)} =1, \end{equation*}
    \begin{equation*} g_4(\lambda)=\frac{D_4(\lambda)}{D_3(\lambda)} = \lambda^4+2 \lambda^3-3 \lambda^2+4 \lambda. \end{equation*}
  2. 因为
    \begin{equation*} \lambda E-A=\begin{pmatrix} \lambda-1&-2&0\\0&\lambda-2&0\\2&2&\lambda-1 \end{pmatrix} \end{equation*}
    存在互素的\(2\)阶子式
    \begin{equation*} \begin{vmatrix} -2&0\\2&\lambda-1 \end{vmatrix}=-2(\lambda-1),\quad\begin{vmatrix} 0&\lambda-2\\2&2 \end{vmatrix}=-2(\lambda-2), \end{equation*}
    所以\(D_2(\lambda)=1\)。由\(D_k(\lambda)\mid D_{k+1}(\lambda)\)知:\(D_1(\lambda)=D_2(\lambda)=1\)。又
    \begin{equation*} D_3(\lambda)=\det \left(\lambda E-A\right)= (\lambda-2)(\lambda-1)^2, \end{equation*}
    \(A\)的行列式因子为
    \begin{equation*} D_1(\lambda)=D_2(\lambda)=1,D_3(\lambda) = (\lambda-2)(\lambda-1)^2. \end{equation*}
    相应地,\(A\)的不变因子为
    \begin{equation*} g_1(\lambda)=D_1(\lambda)=1,g_2(\lambda)=\frac{D_2(\lambda)}{D_1(\lambda)}=1, \end{equation*}
    \begin{equation*} g_3(\lambda)=\frac{D_3(\lambda)}{D_2(\lambda)}=(\lambda-2)(\lambda-1)^2. \end{equation*}
  3. 方法一:对\(\lambda E-A\)进行初等变换:
    \begin{equation*} \begin{array}{l} \lambda E-A=\begin{pmatrix} \lambda-3&-2&5\\-2&\lambda-6&10\\-1&-2&\lambda+3 \end{pmatrix}\xrightarrow[]{\tiny{\begin{array}{c} E(1,3)\\E(1(-1)) \end{array}}}\begin{pmatrix} 1&2&-\lambda-3\\-2&\lambda-6&10\\\lambda-3&-2&5 \end{pmatrix}\\ \xrightarrow[]{\tiny{\begin{array}{c} E(2,1(2))\\E(3,1(3-\lambda)) \end{array}}}\begin{pmatrix} 1&2&-\lambda-3\\0&\lambda-2&4-2\lambda\\0&4-2\lambda&\lambda^2+4 \end{pmatrix}\xrightarrow[\tiny{\begin{array}{c} E(1,2(-2))\\E(1,3(3+\lambda)) \end{array}}]{}\begin{pmatrix} 1&0&0\\0&\lambda-2&4-2\lambda\\0&4-2\lambda&\lambda^2-4 \end{pmatrix}\\\xrightarrow[]{E(3,2(2))}\begin{pmatrix} 1&0&0\\0&\lambda-2&4-2\lambda\\0&0&(\lambda-2)^2 \end{pmatrix}\xrightarrow[E(2,3(2))]{}\begin{pmatrix} 1&0&0\\0&\lambda-2&0\\0&0&(\lambda-2)^2 \end{pmatrix}, \end{array} \end{equation*}
    所以\(A\)的不变因子为
    \begin{equation*} g_1(\lambda)=1,g_2(\lambda)=\lambda-2,g_3(\lambda)=(\lambda-2)^2. \end{equation*}
    相应地,\(A\)的行列式因子为
    \begin{equation*} D_1(\lambda)=g_1(\lambda)=1,D_1(\lambda)=g_1(\lambda)g_2(\lambda)=\lambda-2, \end{equation*}
    \begin{equation*} D_3(\lambda)=g_1(\lambda)g_2(\lambda)g_3(\lambda)=(\lambda-2)^3. \end{equation*}
    方法二:因为
    \begin{equation*} \lambda E-A=\begin{pmatrix} \lambda-3&-2&5\\-2&\lambda-6&10\\-1&-2&\lambda+3 \end{pmatrix} \end{equation*}
    存在一阶子式\(-1\)为非零常数,所以\(D_1(\lambda)=1\)。 注意到\(\lambda E-A\)所有非零\(2\)阶子式为
    \begin{equation*} (\lambda E-A)\begin{bmatrix} 1&2\\1&2 \end{bmatrix}=\begin{vmatrix} \lambda-3&-2\\-2&\lambda-6 \end{vmatrix}=(\lambda-2)(\lambda-7), \end{equation*}
    \begin{equation*} (\lambda E-A)\begin{bmatrix} 1&2\\1&3 \end{bmatrix}=\begin{vmatrix} \lambda-3&5\\-2&10 \end{vmatrix}=10(\lambda-2), \end{equation*}
    \begin{equation*} (\lambda E-A)\begin{bmatrix} 1&2\\2&3 \end{bmatrix}=\begin{vmatrix} -2&5\\\lambda-6&10 \end{vmatrix}=-5(\lambda-2), \end{equation*}
    \begin{equation*} (\lambda E-A)\begin{bmatrix} 1&3\\1&2 \end{bmatrix}=\begin{vmatrix} \lambda-3&-2\\-1&-2 \end{vmatrix}=-2(\lambda-2), \end{equation*}
    \begin{equation*} (\lambda E-A)\begin{bmatrix} 1&3\\1&3 \end{bmatrix}=\begin{vmatrix} \lambda-3&5\\-1&\lambda+3 \end{vmatrix}=(\lambda-2)(\lambda+2), \end{equation*}
    \begin{equation*} (\lambda E-A)\begin{bmatrix} 1&3\\2&3 \end{bmatrix}=\begin{vmatrix} -2&5\\-2&\lambda+3 \end{vmatrix}=(\lambda-2)(\lambda-1), \end{equation*}
    \begin{equation*} (\lambda E-A)\begin{bmatrix} 2&3\\1&2 \end{bmatrix}=\begin{vmatrix} -2&\lambda-6\\-1&-2 \end{vmatrix}=\lambda-2, \end{equation*}
    \begin{equation*} (\lambda E-A)\begin{bmatrix} 2&3\\1&3 \end{bmatrix}=\begin{vmatrix} -2&10\\-1&\lambda+3 \end{vmatrix}=-2(\lambda-2), \end{equation*}
    \begin{equation*} (\lambda E-A)\begin{bmatrix} 2&3\\2&3 \end{bmatrix}=\begin{vmatrix} \lambda-6&10\\-2&\lambda+3 \end{vmatrix}=-5(\lambda-2), \end{equation*}
    所以\(A\)的二阶行列式因子为\(D_2(\lambda)=\lambda-2\)
    \begin{equation*} D_3(\lambda)=\det\left(\lambda E-A\right)=(\lambda-2)^3, \end{equation*}
    所以\(A\)的行列式因子为
    \begin{equation*} D_1(\lambda)=1, D_2(\lambda)=\lambda-2, D_3(\lambda)=(\lambda-2)^3. \end{equation*}
    相应地,\(A\)的不变因子为
    \begin{equation*} g_1(\lambda)=D_1(\lambda)=1,g_2(\lambda)=\frac{D_2(\lambda)}{D_1(\lambda)}=\lambda-2, \end{equation*}
    \begin{equation*} g_3(\lambda)=\frac{D_3(\lambda)}{D_2(\lambda)}=(\lambda-2)^2. \end{equation*}
5.
\(A=\begin{pmatrix} 0&2&0&0\\ 1&-1&0&0\\ 0&0&0&-2\\ 0&0&1&3 \end{pmatrix}\),求\(A\)的行列式因子与不变因子。
解答.
\begin{equation*} B=\begin{pmatrix} 0&2\\1&-1 \end{pmatrix},C=\begin{pmatrix} 0&-2\\1&3 \end{pmatrix}, \end{equation*}
\begin{equation*} A=\begin{pmatrix} B&0\\0&C \end{pmatrix}. \end{equation*}
计算可得
\begin{equation*} \lambda E-B\simeq \begin{pmatrix} 1&0\\0&(\lambda+2)(\lambda-1) \end{pmatrix}, \end{equation*}
\begin{equation*} \lambda E-C\simeq \begin{pmatrix} 1&0\\0&(\lambda-1)(\lambda-2) \end{pmatrix}. \end{equation*}
\begin{equation*} A(\lambda)=\begin{pmatrix} 1&0&0&0\\ 0&(\lambda+2)(\lambda-1)&0&0\\ 0&0&1&0\\ 0&0&0&(\lambda-1)(\lambda-2) \end{pmatrix}, \end{equation*}
\(\lambda E-A\simeq A(\lambda)\),故\(A\)\(A(\lambda)\)有相同的行列式因子。因为\(A(\lambda)\)的行列式因子为
\begin{equation*} D_1(\lambda)=D_2(\lambda)=1,D_3(\lambda)=\lambda-1,D_4(\lambda)=(\lambda+2)(\lambda-2)(\lambda-1)^2, \end{equation*}
所以\(A\)的行列式因子也是
\begin{equation*} D_1(\lambda)=D_2(\lambda)=1,D_3(\lambda)=\lambda-1,D_4(\lambda)=(\lambda+2)(\lambda-2)(\lambda-1)^2. \end{equation*}
相应地,\(A\)的不变因子为
\begin{equation*} g_1(\lambda)=g_2(\lambda)=1,g_3(\lambda)=\lambda-1,g_4(\lambda)=(\lambda+2)(\lambda-2)(\lambda-1). \end{equation*}
6.
判断下列矩阵是否相似。
  1. \(\begin{pmatrix} 1&0\\0&-1 \end{pmatrix},\ \begin{pmatrix} 0&1\\1&0 \end{pmatrix}\)
  2. \(\begin{pmatrix} 1&0\\0&1 \end{pmatrix},\ \begin{pmatrix} 1&1\\0&1 \end{pmatrix}\)
  3. \(\begin{pmatrix} 1&0\\0&-1 \end{pmatrix},\ \begin{pmatrix} 2&0\\0&-\frac{1}{2} \end{pmatrix}\)
  4. \(\begin{pmatrix} 3&2&-5\\2&6&-10\\1&2&-3 \end{pmatrix},\ \begin{pmatrix} 2&1&0\\0&2&0\\0&0&2 \end{pmatrix}\)
解答.
(1)是;(2)否;(3)否;(4)是。

提高题.

7.
\((f(\lambda),g(\lambda))=1\),证明下列3个\(\lambda\)-矩阵相抵:
\begin{equation*} \begin{pmatrix} f(\lambda)&0\\0&g(\lambda) \end{pmatrix},\ \begin{pmatrix} g(\lambda)&0\\0&f(\lambda) \end{pmatrix},\ \begin{pmatrix} 1&0\\0&f(\lambda)g(\lambda) \end{pmatrix}.\ \end{equation*}
解答.
\(P=\begin{pmatrix} 0&1\\1&0 \end{pmatrix}\),则\(P\)可逆且
\begin{equation*} \begin{pmatrix} f(\lambda)&0\\0&g(\lambda) \end{pmatrix}=P\ \begin{pmatrix} g(\lambda)&0\\0&f(\lambda) \end{pmatrix}P, \end{equation*}
\(\begin{pmatrix} f(\lambda)&0\\0&g(\lambda) \end{pmatrix}\)\(\begin{pmatrix} g(\lambda)&0\\0&f(\lambda) \end{pmatrix}\)相抵。由已知\((f(\lambda),g(\lambda))=1\),存在\(u(\lambda),v(\lambda)\in \mathbb{F}[\lambda]\),使得\(u(\lambda)f(\lambda)+v(\lambda)g(\lambda)=1\)。于是,
\begin{equation*} \begin{array}{cl}\begin{pmatrix} f(\lambda)&0\\0&g(\lambda) \end{pmatrix}&\xrightarrow[E(2,1(v(\lambda) ))]{E(2,1(u(\lambda)))}\begin{pmatrix} f(\lambda)&0\\1&g(\lambda) \end{pmatrix}\stackrel{E(1,2)}{\longrightarrow}\begin{pmatrix} 1&g(\lambda)\\f(\lambda)&0 \end{pmatrix}\\&\xrightarrow[{\begin{array}{c} E(1,2(-g(\lambda)))\\E(2(-1)) \end{array}}]{{\begin{array}{c} E(2,1(-f(\lambda))) \end{array}}}\begin{pmatrix} 1&0\\0&f(\lambda)g(\lambda) \end{pmatrix}.\end{array} \end{equation*}
8.
\(A\)是数域\(\mathbb{F}\)上的\(n\)阶方阵,\(D_1(\lambda),D_2(\lambda),\cdots ,D_n(\lambda)\)\(A\)的行列式因子,证明:存在\(n\)\(\lambda\)-矩阵\(B(\lambda)\),使得\({\rm adj}(\lambda E-A)=D_{n-1}(\lambda)B(\lambda)\)\(B(\lambda)\)的一阶行列式因子为\(1\)
解答.
\begin{equation*} (\lambda E-A)^*=\begin{pmatrix} A_{11}(\lambda)&A_{21}(\lambda)&\cdots&A_{n1}(\lambda)\\ A_{12}(\lambda)&A_{22}(\lambda)&\cdots&A_{n2}(\lambda)\\ \vdots&\vdots&&\vdots\\ A_{1n}(\lambda)&A_{2n}(\lambda)&\cdots&A_{nn}(\lambda) \end{pmatrix}, \end{equation*}
其中\(A_{ij}(\lambda)=(-1)^{i+j}M_{ij}(\lambda)\)\(\lambda E-A\)\(i\)行第\(j\)列元素的代数余子式。注意到\(M_{ij}(\lambda)(1\leq i,j\leq n)\)\(\lambda E-A\)\(n-1\)阶子式全体,所以\(D_{n-1}(\lambda)\)\(M_{ij}(\lambda)(1\leq i,j\leq n)\)的首一最大公因式。 故存在\(B_{ij}(\lambda)\in\mathbb{F} [\lambda]\),使得
\begin{equation*} M_{ij}(\lambda)=D_{n-1}(\lambda)B_{ij}(\lambda), \end{equation*}
\(B_{ij}(\lambda)(1\leq i,j\leq n)\)互素。令
\begin{equation*} B(\lambda)=\left((-1)^{i+j} B_{ij}(\lambda)\right)_{n\times n}, \end{equation*}
\(B(\lambda)\)\(n\)\(\lambda\)-矩阵,满足\((\lambda E-A)^*=D_{n-1}(\lambda)B(\lambda)\)\(B(\lambda)\)的一阶行列式因子为\(1\)
9.
对于任意\(n\)阶方阵\(A\),证明:\(A\)相似于\(A^T\)
解答.
对任意方\(\lambda\)-矩阵\(B(\lambda)\)\(\det B(\lambda)=\det B(\lambda)^T \)\(\lambda E-A\) 的任意非零\(k\)阶子式其转置也是\(\lambda E-A^T \)的非零\(k\)阶子式。根据定义,\(A\)\(A^T\)有相同的行列式因子组。于是,\(A\)相似于\(A^T\)