【6】随机阵的正态分布

【6】随机阵的正态分布

对于一个矩阵

\[X= \left( \begin{array} {cccc} x_{11} & x_{12} & \dots & x_{1p}\\ x_{21} & x_{22} & \dots & x_{2p}\\ \vdots & \vdots & & \vdots \\ x_{n1} & x_{n2} & \dots & x_{np}\\ \end{array} \right)= \left( \begin{array} {c} X'_{(1)}\\ X'_{(2)}\\ \vdots\\ X'_{(n)} \end{array} \right)=(\mathcal{X}_1,\mathcal{X}_2\dots,\mathcal{X}_p) \]

\(X_{(i)}=(x_{i1},\dots,x_{ip})'\),(\(i=1,\dots,n\))为来自\(p\)元正态总体 \(N_p(\mu,\Sigma)\) 的独立同分布随机样本,记随机阵\(X=(x_{ij})_{n\times p}\),利用拉直运算,\((\mathbb{I}::=p维单位向量)\)克罗内克积( Kronecker )运算,可知:

\[Vec(X')\sim N_{np}(\mathbb{I}_n\otimes\mu,I_n\otimes\Sigma) \]

事实上,

\[Vec(X')= \left( \begin{array}{c} X_{(1)}\\ \vdots\\ X_{(n)} \end{array} \right)=(x_{11},\dots,x_{1p},\dots,x_{n1},\dots,x_{np})' \]

为一个\(np\)维的长向量,其联合密度函数为:

\[\begin{align} f(x_{(1)},\dots,x_{(n)}) =&\prod_{i=1}^n\frac1{(2\pi)^{p/2}|\Sigma|^{1/2}}exp\{-\frac12(x_{(i)}-\mu)'\Sigma^{-1}(x_{(i)}-\mu)\}\\ =&\frac1{(2\pi)^{np/2}|\Sigma|^{n/2}}exp\{-\frac12\sum_{i=1}^n(x_{(i)}-\mu)'\Sigma^{-1}(x_{(i)}-\mu)\}\\ =&\frac1{(2\pi)^{np/2}|\Sigma|^{n/2}}exp\left\{-\frac12\left( \begin{array}{c} x_{(1)}-\mu\\ \vdots\\ x_{(n)}-\mu \end{array} \right)' \left( \begin{array}{ccc} \Sigma&\cdots&O\\ \vdots&&\vdots\\ O&\cdots&\Sigma\\ \end{array} \right)^{-1} \left( \begin{array}{c} x_{(1)}-\mu\\ \vdots\\ x_{(n)}-\mu \end{array} \right) \right\}\\ =&\frac1{(2\pi)^{np/2}|\Sigma|^{n/2}}exp\left\{-\frac12\left( \begin{array}{c} X-\mathbb{I}_n\otimes\mu \end{array} \right)' (I_n\otimes\Sigma)^{-1} (X-\mathbb{I}_n\otimes\mu) \right\}\\ \end{align} \]

于是,当随机阵\(X\)进行拉直以后,若满足\(Vec(X')\sim N_{np}(\mathbb{I}_n\otimes\mu,I_n\otimes\Sigma)\),则称其服从矩阵正态分布,记作:\(X\sim N_{n\times p}(M,I_n\otimes\Sigma)\)

其中

\[M=\left( \begin{array} {ccc} \mu_1 & \dots & \mu_p\\ \vdots & & \vdots \\ \mu_1 & \dots & \mu_p\\ \end{array} \right) =\mathbb{I}_n\mu'::= \left( \begin{array} {c} 1\\\vdots\\1 \end{array} \right)_{p\times1} (\mu_1,\dots,\mu_p) \]

则有

\[Vec(M')=\mathbb{I}_n\mu=(\mu_1,\dots,\mu_p,\dots,\mu_1,\dots,\mu_p)' \]

于是

\[Vec(X')\sim N_{np}(Vec(M'),I_n\otimes\Sigma)\quad\leftrightarrows\quad X\sim N_{n\times p}(M,I_n\otimes\Sigma) \]

线性组合的性质
  • \(X\sim N_{n\times p}(M,I_n\otimes\Sigma)\),令\(Z=A_{k\times n}XB_{q\times p}'+D_{k\times q}\),则:

\[Z\sim N_{k\times q}(AMB'+D,(AA')\otimes(B\Sigma B')) \]

posted @ 2020-02-22 17:36  ExplodedVegetable  阅读(596)  评论(0编辑  收藏  举报