Properties of expectation on matrices

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Suppose $X$, $Y$ are matrices of random variables, which are independent and $A$ is matrix of numbers.

Are the below statements correct?

  • $E[X^TAX]=E[X^T]AE[X]$
  • $E[X^TYX]=E[X^T]E[Y]E[X]$

in which $E[.]$ means the expectation value of matrix.

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No, even when the matrices have size one. In general, it is not true that for a random variable $X$, we have $\mathbb E\left[X^2\right]=\left(\mathbb E\left[X\right]\right)^2$, which is what would give the suggested formulas.