设A,P均为3阶方阵,P^T为P的转置矩阵,且P^TAP=(}1&0&00&1&00&0&2AQ=( ).
题目解答
答案
由题意,$P^TAP = \begin{pmatrix} 1 & 0 & 0 \\ 0 & 1 & 0 \\ 0 & 0 & 2 \end{pmatrix}$,其中 $P = (\alpha_1, \alpha_2, \alpha_3)$。
这表明 $\alpha_1, \alpha_2, \alpha_3$ 分别对应特征值 $1, 1, 2$。
矩阵 $Q = (\alpha_1 + \alpha_2, \alpha_2, \alpha_3)$,则
$Q^T = \begin{pmatrix} \alpha_1^T + \alpha_2^T \\ \alpha_2^T \\ \alpha_3^T \end{pmatrix}.$
计算 $Q^T A Q$:
$Q^T A Q = \begin{pmatrix} \alpha_1^T + \alpha_2^T \\ \alpha_2^T \\ \alpha_3^T \end{pmatrix} A \begin{pmatrix} \alpha_1 + \alpha_2 & \alpha_2 & \alpha_3 \end{pmatrix}.$
展开得:
$Q^T A Q = \begin{pmatrix} (\alpha_1^T + \alpha_2^T)A(\alpha_1 + \alpha_2) & (\alpha_1^T + \alpha_2^T)A\alpha_2 & (\alpha_1^T + \alpha_2^T)A\alpha_3 \\ \alpha_2^T A (\alpha_1 + \alpha_2) & \alpha_2^T A \alpha_2 & \alpha_2^T A \alpha_3 \\ \alpha_3^T A (\alpha_1 + \alpha_2) & \alpha_3^T A \alpha_2 & \alpha_3^T A \alpha_3 \end{pmatrix}.$
根据 $P^T A P$,有:
$\alpha_i^T A \alpha_j = \begin{cases} 1 & (i, j) = (1, 1) \text{ 或 } (2, 2), \\ 2 & (i, j) = (3, 3), \\ 0 & \text{其他}. \end{cases}$
代入计算:
$(\alpha_1^T + \alpha_2^T)A(\alpha_1 + \alpha_2) = \alpha_1^T A \alpha_1 + 2\alpha_1^T A \alpha_2 + \alpha_2^T A \alpha_2 = 1 + 0 + 1 = 2,$
$(\alpha_1^T + \alpha_2^T)A\alpha_2 = \alpha_1^T A \alpha_2 + \alpha_2^T A \alpha_2 = 0 + 1 = 1,$
$(\alpha_1^T + \alpha_2^T)A\alpha_3 = \alpha_1^T A \alpha_3 + \alpha_2^T A \alpha_3 = 0 + 0 = 0,$
$\alpha_2^T A (\alpha_1 + \alpha_2) = \alpha_2^T A \alpha_1 + \alpha_2^T A \alpha_2 = 0 + 1 = 1,$
$\alpha_2^T A \alpha_2 = 1, \quad \alpha_2^T A \alpha_3 = 0,$
$\alpha_3^T A (\alpha_1 + \alpha_2) = \alpha_3^T A \alpha_1 + \alpha_3^T A \alpha_2 = 0 + 0 = 0,$
$\alpha_3^T A \alpha_2 = 0, \quad \alpha_3^T A \alpha_3 = 2.$
综上,
$Q^T A Q = \begin{pmatrix} 2 & 1 & 0 \\ 1 & 1 & 0 \\ 0 & 0 & 2 \end{pmatrix}.$
因此,正确答案是 A。
答案:A. $\begin{pmatrix} 2 & 1 & 0 \\ 1 & 1 & 0 \\ 0 & 0 & 2 \end{pmatrix}$
解析
本题主要考察矩阵的转置、矩阵乘法以及特征值特征向量的性质,核心是利用矩阵$P$与$Q$的关系,通过$P^TAP$的已知对角矩阵反推$\alpha_i^TA\alpha_j$的取值,进而计算$Q^TAQ$。
步骤1:分析$P^TAP$的意义
已知$P=(\alpha_1,\alpha_2,\alpha_3)$,则$P^TAP$是对$A$进行合同变换(正交合同?不,仅合同变换),得到对角矩阵$\text{diag}(1,1,2)$。这表明:
- 当$i=j$时:$\alpha_1^TA\alpha_1=1$,$\alpha_2^TA\alpha_2=1$,$\alpha_3^TA\alpha_3=2$(特征值对应);
- 当$i\neq j$时:$\alpha_i^TA\alpha_j=0$(因$P^TAP$非对角元为0,展开后交叉项消失)。
步骤2:表示$Q$并计算$Q^TAQ$
$Q=(\alpha_1+\alpha_2,\alpha_2,\alpha_3)$,则$Q^TAQ$可通过矩阵乘法展开为分块矩阵,每个元素为$\beta_i^TA\beta_j$($\beta_1=\alpha_1+\alpha_2$,$\beta_2=\alpha_2$,$\beta_3=\alpha_3$):
- (1,1)元:$\beta_1^TA\beta_1=(\alpha_1^T+\alpha_2^T)A(\alpha_1+\alpha_2)=\alpha_1^TA\alpha_1+\alpha_1^TA\alpha_2+\alpha_2^TA\alpha_1+\alpha_2^TA\alpha_2=1+0+0+1=2$;
- (1,2)元:$\beta_1^TA\beta_2=(\alpha_1^T+\alpha_2^T)A\alpha_2=\alpha_1^TA\alpha_2+\+\alpha_2^TA\alpha_2=0+1=1$;
- (1,3)元:$\beta_1^TA\beta_3=(\alpha_1^T+\alpha_2^T)A\alpha_3=\alpha_1^TA\alpha_3+\alpha_2^TA\alpha_3=0+0=0$;
- (2,1)元:$\beta_2^TA\beta_1=\alpha_2^TA(\alpha_1+\alpha_2)=\alpha_2^TA\alpha_1+\alpha_2^TA\alpha_2=0+1=1$(对称);
- (2,2)元:\(\beta_2^TA\beta_2=\alpha_2^TA\alpha_2=1\\);
- (2,3)元:$\beta_2^TA\beta_3=\alpha_2^TA\alpha_3=0$;
- (3,1)元:$\beta_3^TA\beta_1=\alpha_3^TA(\alpha_1+\alpha_2)=\alpha_3^TA\alpha_1+\alpha_3^TA\alpha_2=0+0=0$;
- (3,2)元:$\beta_3^TA\beta_2=\alpha_3^TA\alpha_2=0$;
- (3,3)元:$\beta_3^TA\beta_3=\alpha_3^TA\alpha_3=2$。
步骤3:整理结果
综上,$Q^TAQ=\begin{pmatrix}2&1&0\\1&1&0\\0&0&2\end{pmatrix}$。